Uhulumeni wase-Indonesia ububheke ukwamukelwa kwamayunithi ayizigidi eziyi-2.1 wezimoto zikagesi ezinamasondo amabili kanye nezinyunithi ezingama-2,200 zezimoto zikagesi ezinamasondo amane ngo-2025 ngoMthethonqubo kaMongameli waseRiphabhlikhi wase-Indonesia onguNombolo 22 ngo-2017 mayelana noHlelo Lukazwelonke Lwezamandla Kazwelonke. Ngo-2019, uHulumeni wase-Indonesia wakhipha uMthethonqubo kaMongameli onguNombolo 55 ngowezi-2019 maqondana nokusheshiswa koHlelo Lwezimoto Zikagesi Zamabhethri Ezokuhamba Emigwaqweni. Ngonyaka we-2018, ukwamukelwa kwezimoto zikagesi ezinamasondo amabili kufinyelele kuphela ku-0.14% walokho uhulumeni ayekuhlosile ngonyaka ka-2025. Lolu cwaningo lwakha imodeli yenhloso yokutholwa kwemoto kagesi engeyona eyokuziphatha. Izici zifaka phakathi ezenhlalo, ezezimali, ezobuchwepheshe kanye ne-macrolevel. Ucwaningo oluku-inthanethi lubandakanye abaphenduli abangu-1,223. Ukuhlehla kwempahla kusetshenziselwa ukuthola umsebenzi nenani lamathuba okuthola i-EM e-Indonesia. Imvamisa yokwabelana ezinkundleni zokuxhumana, izinga lokuqwashisa ngezemvelo, amanani entengo, izindleko zesondlo, isivinini esiphezulu, isikhathi sokushaja amabhethri, ukutholakala kwengqalasizinda yesiteshi sokushaja emsebenzini, ukutholakala kwamandla asekhaya asuselwa - ukushaja ingqalasizinda, izinqubomgomo zokukhuthaza ukuthenga, nokukhokhisa isaphulelo sezindleko Izinqubomgomo zokukhuthaza zinomthelela omkhulu enhlosweni yokwamukela izimoto zikagesi. Kukhombisa nokuthi ithuba labantu base-Indonesia lokusebenzisa izithuthuthu zikagesi lifinyelela kuma-82.90%. Ukugcwaliseka kokwamukelwa kwezithuthuthu zikagesi e-Indonesia kudinga ukulungela ingqalasizinda nezindleko ezingamukelwa abathengi. Okokugcina, imiphumela yalolu cwaningo inikezela ngeziphakamiso ezithile kuhulumeni namabhizinisi ukusheshisa ukwamukelwa kwezithuthuthu zikagesi e-Indonesia.

ISINGENISO

Umkhakha wezomnotho e-Indonesia (ezokuthutha, ukukhiqiza ugesi, kanye nemindeni) ikakhulukazi zisebenzisa izinto zokubasa ezimbiwa phansi. Eminye yemiphumela emibi yokuncika okuphezulu kumafutha wezinsalela yisabelo esandisiwe soxhaso lwamafutha, izinkinga zokugcina amandla, kanye namazinga aphezulu okukhishwa kwe-CO2. Ezokuhamba umkhakha omkhulu onikela emazingeni aphezulu e-CO2 emoyeni ngenxa yokusetshenziswa okuningi kwezimoto zikaphethiloli. Lolu cwaningo lugxile ezithuthuthu ngoba i-Indonesia, njengezwe elisathuthuka, inezithuthuthu eziningi kunezimoto. Inani lezithuthuthu e-Indonesia lifinyelele kumayunithi angama-120,101,047 ngonyaka ka-2018 [1] kanti ukuthengiswa kwezithuthuthu kufinyelele kumayunithi angama-6,487,460 ngo-2019 [2]. Ukuhambisa umkhakha wezokuthutha kweminye imithombo yamandla kunganciphisa amazinga aphezulu e-CO2. Isixazululo sangempela sale nkinga ukusebenzisa ukufakwa okuluhlaza ngokungena kwezimoto ezisebenza ngogesi e-Indonesia njengezimoto zikagesi ezi-hybrid, izimoto ezihamba ngogesi ezixhunywayo, nezimoto ezisebenza ngogesi [3]. Ukuqamba ubuchwepheshe bezimoto zikagesi kanye nobuchwepheshe bebhethri kunganikeza izixazululo zokuhamba ezilungele imvelo, ezonga ugesi, nezindleko eziphansi zokusebenza nezokulungisa [4]. Izimoto zikagesi ziningi okuxoxwa ngazo emazweni emhlabeni. Ebhizinisini lezimoto ezisebenza ngogesi emhlabeni, kube nokukhula okuphawulekayo kokuthengiswa kwezithuthuthu ezinamasondo amabili ezifinyelele kuma-58% noma cishe amayunithi ayisigidi esingu-1.2 kusuka ngo-2016 kuya ku-2017. Lokhu kukhula kokuthengisa kubonisa impendulo enhle evela emazweni emhlabeni mayelana nokwakhiwa kukagesi ubuchwepheshe bezithuthuthu okuthi ngolunye usuku, izithuthuthu zikagesi kulindeleke ukuthi zithathe indawo yezimoto ezinamandla. Into yocwaningo yi-Electric Motorcycle (EM) equkethe i-New Design of Electric Motorcycle (NDEM) ne-Converted Electric Motorcycle (CEM). Uhlobo lokuqala, iNew Design of Electric Motorcycle (NDEM), imoto eyakhiwe yinkampani esebenzisa ubuchwepheshe bukagesi ekusebenzeni kwayo. Amanye amazwe emhlabeni afana ne-Australia, iJalimane, iNgilandi, iFrance, iJapane, iTaiwan, iSouth Korea, kanye neChina besevele besebenzisa izithuthuthu zikagesi njengomkhiqizo obambela izimoto zezithuthuthu eziphehliweyo [5]. Olunye uhlobo lwezithuthuthu zikagesi yiZero Motorcycle ekhiqiza izithuthuthu zezemidlalo ezisebenza ngogesi [6]. PT. IGesits Technologies Indo iphinde yakhiqiza izithuthuthu ezinamandla ezinamasondo amabili ngaphansi komkhiqizo iGesits. Uhlobo lwesibili yi-CEM. Isithuthuthu sikagesi esiguquliwe yisithuthuthu esidonsa uwoyela lapho izingxenye zezimoto nezenjini zithathelwe indawo yizihlalo zebhethri zeLithium Ferro Phosphate (LFP) njengomthombo wamandla. Yize amazwe amaningi ekhiqiza isithuthuthu sikagesi, akekho noyedwa odale imoto ngokusebenzisa amasu okuguqula. Ukuguqulwa kungenziwa ngesithuthuthu esinamasondo amabili esingasasetshenziswa abasebenzisi baso. I-Universitas Sebelas Maret iyiphayona ekukhiqizeni i-CEM futhi ifakazela ngobuchwepheshe ukuthi amabhethri e-Lithium-Ion angabuyisela imithombo yamandla kagesi ezimbiwa phansi ezithuthuthu ezivamile. I-CEM isebenzisa ubuchwepheshe be-LFP, leli bhethri alidubuli lapho kwenzeka isekhethi elifushane. Ngaphandle kwalokho, ibhethri le-LFP linempilo ende yokusetshenziswa okufika kumijikelezo yokusetshenziswa engu-3000 futhi lide kunamabhethri wamanje we-EM ezentengiselwano (njengeLithium-Ion Battery neLiPo Battery). I-CEM ingahamba ibanga elingu-55 km / ngejubane futhi ibe nesivinini esiphezulu ize ifike kuma-70 km / ihora [7]. UJodinesa, et al. [8] uhlolisise isabelo semakethe sezithuthuthu eziguquguqukayo zikagesi eSurakarta, e-Indonesia futhi kwaholela ekutheni abantu baseSurakarta baphendule kahle kwi-CEM. Ngokwencazelo engenhla, kungabonakala ukuthi ithuba lezithuthuthu zikagesi likhulu kakhulu. Kwenziwe izifundo eziningana ngamazinga ahlobene nezimoto zikagesi namabhethri, njengezinga lebhethri leLithium Ion nguSutopo et al. [9], uhlelo olujwayelekile lokuphathwa kwebhethri nguRahmawatie et al. [10], nezindinganiso zokushaja imoto kagesi nguSutopo et al. [11]. Ukwehla kwezinga lokutholwa kwezimoto zikagesi e-Indonesia sekwenze uhulumeni wakhipha izinqubomgomo eziningana zokuthuthukisa imboni yezimoto futhi wahlela ukubhekisa ukwamukelwa kwamayunithi ayizigidi eziyi-2.1 ezithuthuthu zikagesi namayunithi angama-2,200 ezimoto zikagesi ngo-2025. Ngaphandle kwalokho, uhulumeni futhi ibibhekise e-Indonesia ukuthi ikwazi ukukhiqiza izimoto ezingama-2,200 ezisebenza ngogesi noma i-hybrid ezishiwo eMithethweni kaMongameli waseRiphabhlikhi yase-Indonesia enguNombolo 22 ka-2017 mayelana noHlelo Lukazwelonke Lwezamandla. Lo mthetho usetshenziswe amazwe ahlukahlukene anjengeFrance, iNgilandi, iNorway neNdiya. UMnyango Wezamandla Nezimbiwa uzibekele umgomo wokuthi kusukela ngonyaka ka-2040, ukuthengiswa kwezimoto ze-Internal Combustion Engine (ICEV) akuvunyelwe futhi umphakathi ucelwa ukuthi usebenzise izimoto ezisebenzisa ugesi [12]. Ngo-2019 uHulumeni wase-Indonesia wakhipha uMthethonqubo kaMongameli onguNombolo 55 wezi-2019 maqondana nokusheshiswa koHlelo lweZimoto Ezisebenzisa Amandla kagesi Ezokuthutha Emigwaqweni. Lo mzamo uyisinyathelo sokunqoba izinkinga ezimbili, okungukuthi ukuncipha kwezinqolobane zikawoyela kanye nokungcoliswa komoya. Mayelana nokungcola komoya, i-Indonesia izibophezele ekwehliseni u-29% womoya ongcolile owenziwe yi-carbon dioxide ngonyaka ka-2030 ngenxa yeNgqungquthela Yokuguquka Kwesimo Sezulu eParis eyayibanjwe ngo-2015. Ngo-2018, ukungena kwezimoto zikagesi ezinamasondo amabili kufinyelele kuphela ku-0.14% walokho uhulumeni ayekuhlosile 2025, ngenkathi ugesi onamasondo amane ufinyelele ngaphezu kuka-45%. NgoDisemba 2017, okungenani zazikhona ngaphezu kuka-1,300 iziteshi zomphakathi zokushaja ugesi ezitholakala ezweni lonke emadolobheni angama-24, lapho ama-71% (iziteshi zokugcwalisa kabusha ezingama-924) eziseDKI Jakarta [13]. Amazwe amaningi enze ucwaningo mayelana nokwamukelwa kwezimoto zikagesi, kepha e-Indonesia, ucwaningo lwesikali sikazwelonke alukaze lwenziwe phambilini. Kube nezinhlobo eziningi zocwaningo kwamanye amazwe ezenze izifundo ngokwamukelwa kobuchwepheshe obusha ngokusebenzisa izindlela eziningi njengokuhlehliswa kwemigqa eminingi ukwazi inhloso yokusebenzisa imoto kagesi eMalaysia [14], Structural Equation Modeling (SEM) yokwazi ukutholwa izithiyo zebhethri zezimoto zikagesi eTianjin, eChina [15], ukuhlaziywa kwezinto nokuhlola imodeli ye-multivariate yokwazi izithiyo phakathi kwabashayeli bezimoto zikagesi e-United Kingdom [16], kanye nokuhlehla kokuhleleka kwezinto ukuze kwaziwe izinto ezinomthelela ekuthathweni kwezimoto zikagesi IBeijing, China [17]. Izinhloso zalolu cwaningo ukusungula imodeli yokwamukela izithuthuthu ezisebenza ngogesi e-Indonesia, ukuthola izinto ezinomthelela ezinhlosweni zokwamukela izithuthuthu ezisebenza ngogesi e-Indonesia, nokuthola amathuba emisebenzi yokwamukelwa kwezithuthuthu ezisebenza ngogesi e-Indonesia. Ukumodela izici kubalulekile ukuthola ukuthi yiziphi izinto ezinomthelela enhlosweni yokwamukela izithuthuthu zikagesi e-Indonesia. Lezi zinto ezinamandla zingasetshenziswa njengesethenjwa sokwakha izinqubomgomo ezifanele ukusheshisa ukwamukelwa kwezithuthuthu zikagesi. Lezi zinto ezibalulekile ziyisithombe sezimo ezinhle ezifunwa abasebenzisi bezithuthuthu zikagesi abangahle babe khona e-Indonesia. Eminye iminyango e-Indonesia ehlobene nokwakhiwa kwezinqubomgomo maqondana nezimoto ezisebenza ngogesi uMnyango Wezimboni osebenza ngemithetho yentela yezimoto ngokususelwa ekukhishweni kwayo okuphathelene ngqo nabakhiqizi bezimoto ezisebenza ngogesi, uMnyango Wezokuthutha owenza ukuhlolwa kokungenzeka kwezimoto zikagesi ezizokwenza vula umgwaqo omkhulu njengokuhlolwa kwebhethri njalonjalo, kanye noMnyango Wezamandla Nezimbiwa Phansi onomthwalo wokwakha intela Yesiteshi Sokushaja Izimoto zikagesi kwingqalasizinda yamabhizinisi akhokhisa izimoto zikagesi. Ukwakhiwa kwezimoto zikagesi kukhuthaza nokuzalwa kwezinhlangano zebhizinisi ezintsha kuhlu lwezinto ezibandakanya ama-technopreneurs kanye nokuqala kwabathuthukisi, abahlinzeki, abakhiqizi, nabasabalalisi bemikhiqizo / izinsiza zezimoto zikagesi kanye nemikhiqizo yabo emakethe [24]. Osomabhizinisi bezithuthuthu zikagesi nabo bangathuthukisa ubuchwepheshe nokumaketha ngokucabangela lezi zinto ezibalulekile ukuze basekele ukugcwaliseka kwezithuthuthu zikagesi esikhundleni sezithuthuthu ezivamile e-Indonesia. Ukuhlehla kokuhleleka kwezinto okujwayelekile okusetshenziselwe ukuthola umsebenzi nenani lamathuba okuthola inhloso yokwamukela izithuthuthu zikagesi e-Indonesia kusetshenziswa isoftware ye-SPSS 25. Ukubuyela emuva kwe-Logistic noma i-logit regression kuyindlela yokwenza amamodeli wokuqagela. Ukuhlehla kokuhleleka kwezibalo okusetshenziselwe ukubikezela amathuba omcimbi owenzeka ngokufanisa idatha yomsebenzi we-logit curve logistic. Le ndlela iyimodeli ejwayelekile ejwayelekile yokuhlehla okuphindwe kabili [18]. Ukuhlehla kwempahla kusetshenziselwe ukubikezela ukwamukelwa kwe-inthanethi nokwamukelwa kwamabhange okuhamba ngamaselula [19], ukubikezela ukwamukelwa kokutholwa kobuchwepheshe bezithombe ze-voltaic eNetherlands [20], ukubikezela ukwamukelwa kobuchwepheshe besistimu yocingo lwezempilo [21], nokuthola ukukhipha izithiyo zobuchwepheshe ezithinta isinqumo sokwamukela izinsizakalo zefu [22]. Utami et al. [23] owake wenza ucwaningo ngemibono yabathengi yezimoto zikagesi eSurakarta, wathola ukuthi amanani entengo, amamodeli, ukusebenza kwezimoto, nokulungela ingqalasizinda kwakuyizithiyo ezinkulu kubantu abasebenzisa izimoto zikagesi. INDLELA Idatha eqoqwe kulolu cwaningo yimininingwane eyinhloko etholwe ngocwaningo olwenziwa online ukuthola amathuba nezinto ezithinta inhloso yokwamukela izithuthuthu zikagesi e-Indonesia. Uhlu lwemibuzo kanye nohlolo vo Ucwaningo oluku-inthanethi lwasatshalaliswa kwabaphendula abangu-1,223 ezifundazweni eziyisishiyagalombili e-Indonesia ukuze bahlole izinto ezinomthelela enhlosweni yokwamukela izithuthuthu zikagesi e-Indonesia. Lezi zifundazwe ezikhethiwe zinokuthengiswa okungaphezulu kuka-80% kwezithuthuthu e-Indonesia [2]: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra, naseBali. Izici ezihloliwe zikhonjisiwe kuThebula 1. Ulwazi olujwayelekile ngezithuthuthu zikagesi lunikezwe ekuqaleni kohlu lwemibuzo ngokusebenzisa ividiyo ukugwema ukungaqondi. Uhlu lwemibuzo luhlukaniswe izigaba ezinhlanu: isigaba sokuhlola, isigaba sezenhlalo yabantu, isigaba sezezimali, isigaba sobuchwepheshe, nesigaba sezinga eliphezulu. Uhlu lwemibuzo lwethulwe esikalini se-Likert se-1 kuye ku-5, lapho i-1 ngokungavumelani neze, i-2 ngokungavumelani, i-3 ngokungabaza, i-4 yokuvuma, ne-5 yokuvuma ngokuqinile. Ukunqunywa kobukhulu besampula obuncane kubhekise ku- [25], kusho ukuthi izifundo zokuhlola ezinosayizi omkhulu wabantu ezibandakanya ukuhleleka kwezinto kudinga ubuncane besampula losayizi wama-500 ukuthola izibalo ezimele amapharamitha. Isampula yamasampula noma isampula yendawo ngamanani kusetshenziswa kulolu cwaningo ngoba inani labasebenzisi bezithuthuthu e-Indonesia likhulu kakhulu. Ngaphandle kwalokho, ukusampula okunenjongo kusetshenziselwa ukunquma amasampula ngokuya ngemibandela ethile [26]. Ukuhlolwa oku-inthanethi kwenziwa ngezikhangiso ze-Facebook. Abaphendulayo abafanelekile ngabantu abaneminyaka engu- ≥ eyi-17 ubudala, abane-SIM C, ngokuba ngomunye wabenza izinqumo zokushintsha noma ukuthenga isithuthuthu, futhi babuswa kwesinye sezifundazwe kuThebula 1. Uhlaka Lwezethiyori She et al. [15] noHabich-Sobiegalla et al. [28] izinhlaka ezisetshenzisiwe zokuhlukaniswa ngezigaba kwezinto okushayela noma okuphazamisa ukwamukelwa kwemoto kagesi ngabathengi. Lezi zinhlaka sizivumelanise nezimo ngokuziguqula ngokuya ngokuhlaziywa kwethu kwemibhalo yezithuthuthu kagesi ekwamukelweni komthengi kwezithuthuthu zikagesi. Sikubone ngeso lengqondo kuThebula 1. Ithebula 1. Incazelo kanye Nokubhekiswa Kwezinto Nezici Zekhodi Le-Atrtibute Ref. Isimo Somshado se-SD1 [27], [28] I-SD2 Age SD3 Ubulili SD4 Imfundo yokugcina SD5 Occupation Sociodemographic SD6 Izinga lokusetshenziswa kwanyanga zonke SD7 Izinga lemali engenayo lenyanga le-SD8 Inani lobunikazi bezithuthuthu SD9 Ukuvama kokwabelana emithonjeni yezokuxhumana I-SD10 Usayizi wenethiwekhi yokuxhumana nabantu online SD11 Ukuqwashiswa kwemvelo kwezezimali Intengo yokuthenga ye-FI1 [29] Izindleko zebhethri ze-FI2 [30] Izindleko zokushaja ze-FI3 [31] Izindleko zokulondolozwa kwe-FI4 [32] Amandla we-Technological TE1 Mileage [33] TE2 Power [33] TE3 Isikhathi sokushaja [33] Ukuphepha kwe-TE4 [34] TE5 Impilo yebhethri [35] Ukutholakala kwesiteshi sokushaja seMacro ezisezingeni eliphakeme ezindaweni zomphakathi [36] ML2 Ukutholakala kwesiteshi sokushaja emsebenzini [15] Ukutholakala kwesiteshi sokushaja se-ML3 ekhaya [37] Isevisi ye-ML4 ibeka ukutholakala [38] Inqubomgomo yokukhuthaza ye-ML5 [15] ML6 Ngonyaka inqubomgomo yesaphulelo sentela [15] ML7 Inqubomgomo yesaphulelo sezindleko zokushaja [15] Inhloso yokwamukelwa kwe-IP Inhloso yokusebenzisa [15] Isici se-Sociodemographic Factor Sociodemographic yizici zomuntu siqu ezinomthelela ekuziphatheni komuntu ekwenzeni izinqumo. U-Eccarius et al. [28] basho ngemodeli yabo yokutholwa ukuthi iminyaka, ubulili, isimo somshado, imfundo, imali engenayo, umsebenzi, nokuba ngumnikazi wezimoto yizinto ezibalulekile ezithinta ukwamukelwa kwemoto kagesi. UHabichSoebigalla et al uqokomisa izinto zokuxhumana nabantu ezifana nenani lobunikazi bezithuthuthu, imvamisa yokwabelana emithonjeni yezokuxhumana, nosayizi wenethiwekhi yokuxhumana nabantu eku-inthanethi kube yizici ezinomthelela wokwamukelwa kwemoto kagesi [28]. U-Eccarius et al. [27] noHabichSobiegalla et al. [28] futhi kubhekwe njengokuqwashiswa kwemvelo kungokwesimo senhlalo yabantu. Intengo Yokuthengwa Kwezezimali iyinani lokuqala lesithuthuthu sikagesi ngaphandle koxhaso lokuthenga. USierzchula et al. [29] uthe intengo ephezulu yokuthengwa kwemoto kagesi edalwe ngumthamo webhethri ophakeme kakhulu. Izindleko zebhethri izindleko zokushintsha ibhethri lapho impilo yebhethri endala isiphelile. UKrause et al. kucwaningwe ukuthi izindleko zebhethri kungokwesithiyo sezezimali somuntu ukuze athole imoto kagesi [30]. Izindleko zokushaja izindleko zikagesi ukufaka isithuthuthu sikagesi amandla uma kuqhathaniswa nezindleko zikaphethiloli [31]. Izindleko zesondlo izindleko ezijwayelekile zokugcinwa kwezithuthuthu zikagesi, hhayi ukulungiswa ngenxa yengozi ethinta ukwamukelwa kwemoto kagesi [32]. Amandla we-Technological Factor Mileage ibanga elide kakhulu ngemuva kokuthi ibhethri lesithuthuthu sikagesi selishajwe ngokuphelele. UZhang et al. [33] uthe ukusebenza kwezimoto kubhekisa ekuhlolweni kwabathengi emotweni kagesi kufaka phakathi umthamo wamamayela, amandla, isikhathi sokushaja, ukuphepha kanye nempilo yebhethri. Amandla isivinini esiphezulu sesithuthuthu sikagesi. Isikhathi sokushaja yisikhathi esiphelele sokushaja ngokugcwele isithuthuthu sikagesi. Ukuzizwa kokuphepha lapho ugibela isithuthuthu sikagesi esihlobene nomsindo (dB) yizici ezigqanyiswa nguSovacool et al. [34] kube yizici ezinomthelela ekuboneni kwabathengi emotweni kagesi. UGraham-Rowe et al. [35] wathi impilo yebhethri ibhekwa njengehlisiwe. Ingqalasizinda ye-Macro-level Factor yokushaja ukutholakala kwesiteshi kuyinto engenakugwenywa kumuntu othola isithuthuthu sikagesi. Ukutholakala kokushaja ezindaweni zomphakathi kubhekwa njengokubalulekile ukuxhasa ukwamukelwa kwezimoto zikagesi [36]. Ukushaja ukutholakala emsebenzini [15] nokushaja ukutholakala ekhaya [37] nakho kudinga abathengi ukufeza ibhethri lemoto yabo. UKrupa et al. [38] uthe ukutholakala kwezindawo zokuhlinzeka ngokulungiswa nokulimala okujwayelekile kunomthelela ekutholeni imoto kagesi. Yena et al. [15] uphakamise ezinye izikhuthazo zomphakathi ezifunwa kakhulu ngabathengi eTianjin njengokuhlinzeka ngoxhaso lokuthenga izithuthuthu zikagesi, isaphulelo sentela sonyaka sezithuthuthu zikagesi, kanye nenqubomgomo yokushaja izindleko lapho abathengi kudingeka bakhokhise isithuthuthu sikagesi ezindaweni zomphakathi [15]. Ukuhlehla kwe-Ordinal Logistic Ordinal logistic regression kungenye yezindlela zezibalo ezichaza ubudlelwano phakathi kokuhluka okuxhomekile ngokuhlukahluka okukodwa noma okuningi okuzimele, lapho okuguquguqukayo okuxhomeke kukho ngaphezu kwezigaba ezi-2 futhi isikali sesilinganiso siyileveli noma i-ordinal [39]. I-Equation 1 iyisibonelo sokuhlehla kwe-loginal logistic futhi i-Equation 2 ikhombisa umsebenzi g (x) njenge-logit equation. i-eegxgx P x () () 1 () + = (1)  = = + mkjk Xik gx 1 0 ()   (2) IMIPHUMELA NENGXOXO Uhlu lwemibuzo lwasatshalaliswa ku-inthanethi ngoMashi - Ephreli, 2020, ngezikhangiso ezikhokhelwayo zeFacebook. ngokubeka indawo yokuhlunga: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra, neBali efinyelele kubasebenzisi abangu-21,628. Ingqikithi yezimpendulo ezingenayo bekuyizimpendulo eziyi-1,443, kepha izimpendulo eziyi-1,223 kuphela ebezifanele ukucutshungulwa kwedatha. Ithebula 2 likhombisa ukubalwa kwabantu abaphendulile. Ithebula Lezibalo Ezichazayo 3 likhombisa izibalo ezichazayo zokuguquguquka kobuningi. Isaphulelo sezindleko zokushaja, isaphulelo sentela sonyaka, kanye noxhaso lwentengo yokuthenga lunezinga eliphakeme phakathi kwezinye izinto. Lokhu kukhombisa ukuthi iningi labaphenduli licabanga ukuthi kunenqubomgomo okunikezwe nguhulumeni ngamandla ukukwazi ukubakhuthaza ukuthi basebenzise izithuthuthu zikagesi. Ezimeni zezimali, intengo yokuthenga nezindleko zebhethri zinesilinganiso esiphansi phakathi kwezinye izinto. Lokhu kukhombisa ukuthi intengo yokuthengwa kwesithuthuthu sikagesi kanye nezindleko zebhethri azihambelani nesabelomali sabaphenduli abaningi. Iningi labaphendulayo libheke ukuthi intengo yesithuthuthu sikagesi ibiza kakhulu uma iqhathaniswa nentengo yesithuthuthu esijwayelekile. Izindleko zokushintshwa kwebhethri njalo eminyakeni emithathu efinyelela ku-IDR 5,000,000 nazo ziyabiza kakhulu kubaphenduli abaningi ukuze intengo yokuthenga nezindleko zebhethri kube isithiyo e-Indonesia sokusebenzisa izithuthuthu zikagesi. Impilo yebhethri, amandla, isikhathi sokushaja kunamaphuzu amaphakathi aphansi ezibalweni ezichazayo kepha amaphuzu amaphakathi alezi zinto ezintathu angaphezu kuka-4. Isikhathi sokushaja esithathe amahora amathathu besiside kakhulu kubaphenduli abaningi. Isivinini esiphezulu sesithuthuthu sikagesi singama-70 km / h kanti impilo yebhethri yeminyaka emi-3 ayizanelisi izidingo zabaphendulile. Lokhu kukhombisa ukuthi iningi labaphenduli licabanga ukuthi ukusebenza kwezithuthuthu zikagesi akuhlangabezani namazinga alo. Abaphenduli be-Altough abakuthembi ngokugcwele ukusebenza kwezithuthuthu zikagesi, i-EM ingahlangabezana nezidingo zabo zokuhamba kwansuku zonke. Abaphenduli abaningi banikeze amaphuzu amaningi ekutholakaleni kokushaja emakhaya abo nasemahhovisi kunasezindaweni zomphakathi. Kodwa-ke, isithiyo esivame ukutholakala ukuthi amandla kagesi wasekhaya asengaphansi kwe-1300 VA, okwenza abaphenduli balindele ngokuqinile ukuthi uhulumeni akwazi ukusiza ukuhlinzeka ngezinsiza zokushaja ekhaya. Ukutholakala kokushaja ehhovisi kukhethwa kakhulu kunezindawo zomphakathi ngoba ukuhamba kwabaphendulayo nsuku zonke kufaka amakhaya nehhovisi. Ithebula 4 likhombisa izimpendulo zabaphenduli ekwamukelweni kwezithuthuthu zikagesi. Kukhombisa ukuthi ama-45,626% wabaphenduli banesifiso esinamandla sokusebenzisa isithuthuthu sikagesi. Lo mphumela ukhombisa ikusasa eliqhakazile lesabelo semakethe yezithuthuthu zikagesi. Ithebula 4 futhi likhombisa ukuthi cishe ama-55% wabaphenduli abanakho ukuzimisela okunamandla kokusebenzisa isithuthuthu sikagesi. Imiphumela ethokozisayo evela kulezi zibalo ezichazayo isho ukuthi yize umdlandla wokusebenzisa izithuthuthu zikagesi usadinga ukushukunyiswa, ukwamukelwa komphakathi ngezithuthuthu zikagesi kuhle. Esinye isizathu esingavela ukuthi abaphenduli banesimo sengqondo sokulinda babone ukwamukelwa kwesithuthuthu sikagesi noma ngabe omunye umuntu usebenzisa isithuthuthu sikagesi noma cha. Idatha ye-Ordinal Logistic Regression Data iyinqubo futhi iyahlaziya ukuthola inhloso yokwamukelwa kwezithuthuthu zikagesi e-Indonesia zisebenzisa ukuhleleka kokuhleleka kwezinto. Ukuhluka okuxhomeke kulolu cwaningo ukuzimisela ukusebenzisa isithuthuthu sikagesi (1: ukungathandi ngokuqinile, 2: ukungathandi, 3: ukungabaza, 4: ukuzimisela, 5: ukuthanda ngokuqinile). Ukulungiswa kokuhlelwa kwezinto okujwayelekile kukhethwe njengendlela kulolu cwaningo ngoba ukuhluka okuxhomekile kusebenzisa isikali se-ordinal. Imininingwane icutshungulwe kusetshenziswa isoftware ye-SPSS 25 enezinga lokuzethemba elingu-95%. Ukuhlolwa kwe-Multicollinearity kwenziwe ukubala i-Variance inflation Factors (VIF) ene-VIF emaphakathi engu-1.15- 3.693, okusho ukuthi ayikho i-multicollinearity kumodeli. I-hypothesis esetshenziswe ku-reginal logistic regression ikhonjisiwe kuThebula 5. Ithebula 6 likhombisa imiphumela yokuhlolwa okuyingxenye njengesisekelo sokwenqaba noma ukwamukela i-hypothesis yokuhlehla okuhlelekile kwezinto. Ithebula 2. Izibalo Zabantu Abaphendulayo Into Yabantu Eyabanjwayo Freq% Idemographic Demit Freq% Domicile West Java 345 28.2% Student Occupation 175 14.3% East Java 162 13.2% Abasebenzi bakahulumeni 88 7.2% Jakarta 192 15.7% Abasebenzi abazimele 415 33.9% Central Java 242 19.8% Osomabhizinisi 380 31.1% North Sumatera 74 6.1% Abanye 165 13.5% Yogyakarta 61 5.0% South Sulawesi 36 2.9% Age 17-30 655 53.6% Bali 34 2.8% 31-45 486 39.7% West Sumatera 26 2.1% 46-60 79 6.5% South ISumatera 51 4.2%> 60 3 0.2% Isimo somshado Angashadile 370 30.3% Izinga Lokugcina Lokufunda SMP / SMA / SMK 701 57.3% Abashadile 844 69.0% Idiploma 127 10.4% Abanye 9 0.7% Bachelor 316 25.8% Ubulili Owesilisa 630 51.5% Master 68 5.6 % Owesifazane 593 48.5% Udokotela 11 0.9% Izinga lemali engenayo yenyanga 0 154 12.6% Izinga lokusetshenziswa kwenyanga <IDR 2,000,000 432 35.3% <IDR 2,000,000 226 18.5% IDR2,000,000-5,999,999 640 52.3% IDR 2,000,000-5,999,999 550 45% IDR6,000,000- 9,999,999 121 9.9% IDR 6,000,000-9,999,999 199 16.3% ≥ IDR 10,000,000 30 2.5% IDR10,000,000- 19,999,999 71 5.8% ≥ I I-DR 20,000,000 23 1,9% Ithebula 3. Izibalo Ezichazayo Zezezimali, Ezobuchwepheshe, kanye Nezinga Le-Macro-Variable Average Rank Isilinganiso Esiguqukayo Esimaphakathi ML7 (ukushaja izindleko disc.) 4.4563 1 ML3 (CS ekhaya) 4.1554 9 ML6 (idiski yonyaka yentela. ) 4.4301 2 ML2 (CS ezindaweni zokusebenza) 4.1055 10 ML5 (incentive incentive) 4.4146 3 ML1 (CS ezindaweni zomphakathi) 4.0965 11 TE4 (ukuphepha) 4.3181 4 TE5 (impilo yebhethri) 4.0924 12 FI3 (izindleko zokushaja) 4.2518 5 TE2 (amandla) ) 4.0597 13 TE1 (amandla wekhilomitha) 4.2396 6 TE3 (isikhathi sokushaja) 4.0303 14 ML4 (indawo yesevisi) 4.2142 7 FI1 (izindleko zokuthenga) 3.8814 15 FI4 (izindleko zokugcina) 4.1980 8 FI2 (izindleko zebhethri) 3.5045 16 Ithebula 4. Izibalo ezichazayo Okwenzelwe Ukwamukelwa 1: ukungazimisele neze 2: ukungafuni 3: ukungabaza 4: ukuvuma 5: Ukuzimisela ngokuqinile Ukuzimisela ukusebenzisa isithuthuthu sikagesi 0.327% 2.044% 15.863% 36.141% 45.626% Imiphumela yokuhlaziywa kokuhleleka kokuhleleka kokuguquguqukayo kwe-SD1 nge-SD11 okungeye izici zenhlalo yabantu zibonisa imiphumela evama kuphela ukwabelana ngayo imithombo yezokuxhumana (SD9) kanye nezinga lokukhathazeka kwemvelo (SD11) kunomthelela omkhulu enhlosweni yezithuthuthu zikagesi e-Indonesia. Amanani abalulekile wokuguquguquka kwekhwalithi yesimo somshado angama-0.622 awashadile no-0.801 kwabashadile. Lawo magugu awasekeli i-Hypothesis 1. Isimo somshado asithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi ngoba inani elibalulekile lingaphezu kuka-0.05. Inani elibalulekile leminyaka ngu-0.147 ukuze iminyaka ingabi nomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso seminyaka yobudala obungu -0.168 alisekeli i-Hypothesis 2. Uphawu olubi lisho ukuthi lapho iminyaka iphakama, kwehla inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lokuguquguquka kwekhwalithi, ubulili, (i-0.385) ayisekeli i-Hypothesis 3. Ubulili abuyithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile leleveli yokugcina yemfundo (0.603) ayisekeli i-Hypothesis 4. Ngakho-ke, imfundo yokugcina ayithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sezinga lokugcina lemfundo elingu-0.036 lisho ukuthi uphawu oluqondile lisho ukuthi izinga eliphakeme lemfundo liphakeme inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lokuguquguquka kwekhwalithi yomsebenzi kwakuyi-0.487 yabafundi, i-0.999 yezisebenzi zikahulumeni, i-0.600 yabasebenzi abazimele, kanye no-0.480 kosomabhizinisi abangaxhasi i-Hypothesis 5. Umsebenzi awuthinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. UTAMI ET AL. / I-JOURNAL NGOKUKHULULEKA KWEZINHLELO EZIMBONI - IVOL. 19 CHA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. I-75 Tabel 5. I-Hypothesis Hypothesis Socio- H1: isimo somshado sinomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. Idemo- H2: iminyaka inomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. graphic H3: ubulili bunomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H4: izinga lemfundo lokugcina linomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H5: umsebenzi unomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. I-H6: izinga lokusetshenziswa nyangazonke linomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. H7: Izinga lemali engenayo lenyanga linomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H8: inani lobunikazi bezithuthuthu linomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H9: imvamisa yokwabelana ezinkundleni zokuxhumana iba nomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. I-H10: usayizi wenethiwekhi yokuxhumana nabantu online unomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H11: Ukuqwashisa ngemvelo kunomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H12 yezezimali: intengo yokuthenga inomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. H13: izindleko zebhethri zinomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H14: izindleko zokushaja zinomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. H15: izindleko zesondlo zinomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H16: amandla we-mileage anomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. I-H17: amandla anomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. I-Techno- H18: isikhathi sokushaja sinomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. okunengqondo H19: ukuphepha kunomthelela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H20: Impilo yebhethri inomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H21: ukutholakala kwengqalasizinda yesiteshi sokushaja ezindaweni zomphakathi kunomthelela omuhle kakhulu enhlosweni yokwamukela isithuthuthu sikagesi. I-H22: ukutholakala kwengqalasizinda yesiteshi sokushaja emsebenzini kunomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. IMacrolevel H23: ukutholakala kwengqalasizinda yesiteshi sokushaja ekhaya kunomthelela omuhle enhlosweni yokwamukela isithuthuthu sikagesi. I-H24: ukutholakala kwezindawo zensizakalo kunomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. H25: inqubomgomo yokukhuthaza ukuthenga inomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H26: inqubomgomo yonyaka yesaphulelo sentela inomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. I-H27: inqubomgomo yesaphulelo sezindleko zokushaja inomphumela omuhle obonakalayo enhlosweni yokwamukela isithuthuthu sikagesi. Ithebula 6. Imiphumela yeLogistic Regression Partial Test Val Value Sig Var Value Sig SD1: single 0.349 0.622 TE1 0.146 0.069 SD1: married 0.173 0.801 TE2 0.167 0.726 SD1: others 0 TE3 0.240 0.161 SD2 -0.168 0.147 TE4 -0,005 0.013 * SD3: male 0.117 0.385 TE5 0,068 0.765 SD3: owesifazane 0 ML1 -0.127 0.022 * SD5: abafundi -0.195 0.487 ML2 0.309 0.000 * SD5: civ. insizakalo 0,0000 0.999 ML3 0.253 0.355 SD5: priv. emp -0.110 0.6 ML4 0.134 0.109 SD5: entrepr 0.147 0.48 ML5 0.301 0.017 * SD5: abanye 0 ML6 -0.059 0.107 SD6 0.227 0.069 ML7 0.521 0.052 SD7 0.032 0.726 TE1 0.146 0.004 * SD8 0.180 0.161 TE2 0.167 0.962 SD4 0.111 0.013 040 040 0 0 0 0 0 I-SD10 0.016 0.765 TE4 -0.005 0.254 SD11 0.226 0.022 * TE5 0.068 0.007 * FI1 0.348 0.000 * ML1 -0.127 0.009 * FI2 -0.069 0.355 ML2 0.309 0.181 FI3 0.136 0.109 ML3 0.253 0.017 * FI4 0.193 0.017 * LL 0.0ant izinga lokuzethemba Inani elibalulekile leleveli yokusetshenziswa yanyanga zonke (i-0.069) ayisekeli i-Hypothesis 6, izinga lokusetshenziswa nyangazonke alithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani elilinganiselwayo leleveli yokusetshenziswa yanyanga zonke engu-0.227, uphawu oluqondile lisho ukuthi izinga lezindleko zanyanga zonke liphakeme inhloso yokuthola isithuthuthu sikagesi. Inani elibalulekile leleveli yenyanga engenayo (0.726) ayisekeli i-Hypothesis 7, ileveli yanyanga zonke ayithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sezinga lemali engenayo lanyanga zonke lingu-0.032, uphawu oluchazayo luthi izinga eliphakeme leholo lenyanga liphakamisa inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lenani lobunikazi bezithuthuthu (i-0.161) alisekeli i-Hypothesis 8, inani lobunikazi bezithuthuthu alithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sezinga lobunikazi bezithuthuthu lingu-0.180, uphawu oluqondile lisho ukuthi inani elikhulu lezithuthuthu eziphethwe, kuphakama inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lemvamisa yokwabelana emithonjeni yezokuxhumana (i-0.013) isekela i-Hypothesis 9, imvamisa yokwabelana emithonjeni yezokuxhumana iba nomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi ngoba inani elibalulekile lingaphansi kuka-0.05. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 CHA. I-1 (2020) 70-81 76 Utami et al. I-DOI: 10.25077 / josi.v19.n1.p70-81.2020 Inani lesilinganiso sokwabelana ngemvamisa ezinkundleni zokuxhumana lingu-0.111, uphawu oluqondile lisho ukuthi ukuphakama kwemvamisa yokwabelana nothile ezinkundleni zokuxhumana, kukhulisa ithuba lokwamukelwa kukagesi isithuthuthu. Inani elibalulekile ngosayizi wenethiwekhi yokuxhumana nabantu eku-inthanethi (0.765) ayisekeli i-Hypothesis 10, ubukhulu bokufinyelela kwenethiwekhi yezokuxhumana abuthinti kakhulu inhloso yokwamukela isithuthuthu. Inani lesilinganiso senani labantu abafinyelelwe kwinethiwekhi yokuxhumana ngu-0,016, uphawu oluchazayo luthi ukuphakama kobukhulu bezinkundla zokuxhumana kuphakama inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile leleveli yokuqwashisa ngemvelo (0.022) isekela iHypothesis 11, izinga lokukhathazeka kwemvelo linomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sezinga lokuqwashisa ngezemvelo ngu-0.226, uphawu oluqondile lisho ukuthi lapho izinga lomuntu lokukhathazeka kwezemvelo liphakama, inhloso ephakeme yokwamukela isithuthuthu sikagesi iyanda. Imiphumela yokuhlaziywa kokuhleleka kokuhleleka kokuguquguqukayo i-FI1 kuya ku-FI4 okungokwesimo sezimali kukhombisa imiphumela yokuthi intengo yokuthenga (i-FI1) nezindleko zesondlo (i-FI4) zinomthelela omkhulu enhlosweni yezithuthuthu zikagesi e-Indonesia. Inani elibalulekile lentengo yokuthenga (0.00) isekela iHypothesis 12, inani lokuthenga linomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi.Inani lesilinganiso sentengo yokuthenga lingu-0.348, uphawu oluqondile lisho ukuthi lapho intengo yokuthenga yesithuthuthu sikagesi ilungela kakhulu, inhloso ephakeme yokwamukela isithuthuthu sikagesi iphakama kakhulu. Inani elibalulekile lezindleko zebhethri (i-0.355) alisekeli i-Hypothesis 13, izindleko zebhethri azithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lezindleko zokushaja (i-0.109) alisekeli i-Hypothesis 14, izindleko zokushaja azinamphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sezindleko zokushaja ngu-0.136, uphawu oluqondile lisho ukuthi uma izindleko ezifanele kakhulu zokushaja isithuthuthu sikagesi zomuntu, zanda inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lezindleko zesondlo (i-0.017) alisekeli i-Hypothesis 15, izindleko zesondlo zinomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sezindleko zesondlo ngu-0.193, uphawu oluqondile lisho ukuthi uma izindleko ezifanele kakhulu zokugcinwa kwesithuthuthu sikagesi kothile, kuphakamisa inhloso yokwamukela isithuthuthu sikagesi. Imiphumela yokuhlaziywa kokuhleleka kokuhleleka kokuguquguqukayo kwe-TE1 nge-TE5 okungokwesici sobuchwepheshe kukhombisa imiphumela yokuthi isikhathi sokushaja ibhethri (i-TE3) sinomthelela omkhulu enhlosweni yokwamukelwa kwezithuthuthu zikagesi e-Indonesia. Inani elibalulekile lekhono le-mileage (0.107) alisekeli i-Hypothesis 16, amandla we-mileage awanamthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso semayela eliphakeme lingu-0.146, uphawu oluqondile lisho ukuthi lapho kufaneleka kakhulu ibanga eliphakeme lesithuthuthu sikagesi kothile, kuphakama inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lamandla aguqukayo azimele noma ijubane eliphezulu (0.052) alihambisani neHypothesis 17, isivinini esikhulu asithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani le-esimate yamandla noma isivinini esikhulu ngu-0.167, uphawu oluqondile lisho ukuthi lapho kufaneleka kakhulu ijubane eliphezulu lesithuthuthu sikagesi kumuntu, inhloso ephakeme yokwamukela isithuthuthu sikagesi iyanda. Inani elibalulekile lesikhathi sokushaja (0.004) lisekela i-Hypothesis 18, isikhathi sokushaja sinomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani elilinganisiwe lesikhathi sokushaja ngu-0.240, uphawu oluqondile lisho ukuthi lapho kufanele isivinini esiphezulu sesithuthuthu sikagesi kothile, inhloso ephakeme yokwamukela isithuthuthu sikagesi iphakama kakhulu. Inani elibalulekile lokuphepha (i-0.962) alisekeli i-Hypothesis 19, ukuphepha akuthinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani lokulinganisela ukuphepha ngu -0.005, uphawu olubi lisho ukuthi lapho umuntu evikeleka kakhudlwana esebenzisa isithuthuthu sikagesi, kwehlisa inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lempilo yebhethri (i-0.424) alisekeli i-Hypothesis 20, impilo yebhethri ayinamphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sempilo yebhethri lingu-0.068, uphawu oluqondile lisho ukuthi uma isikhathi sokuphila sebhethri lesithuthuthu sikagesi silifaneleka ngokwengeziwe, inhloso ephakeme yokwamukela isithuthuthu sikagesi iyanda kakhulu. Imiphumela yokuhlaziywa kokuhleleka kokuhleleka kokuguquguqukayo kwe-ML1 kuya ku-ML7 okuyizinto ezinamazinga amakhulu kukhombisa imiphumela ekhokhisa ukutholakala kuphela emsebenzini (ML2), ukushaja ukutholakala endaweni yokuhlala (ML3), kanye nenqubomgomo yesaphulelo sezindleko (ML7) ezinomthelela omkhulu enhlosweni yokwamukelwa kwezithuthuthu zikagesi e-Indonesia. Inani elibalulekile lokutholakala kokushaja ezindaweni zomphakathi (0.254) alisekeli i-Hypothesis 21, ukushaja ukutholakala ezindaweni zomphakathi akuthinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lokutholakala kokushaja emsebenzini (0.007) lisekela i-Hypothesis 22, ukushaja ukutholakala emsebenzini kunomphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lokutholakala kokushaja ekhaya (0.009) lisekela i-Hypothesis 22, ukutholakala kokushaja ekhaya kunomthelela omkhulu enhlosweni yokwamukela isithuthuthu. Inani elibalulekile lokutholakala kwezindawo zensiza (0.181) alisekeli i-Hypothesis 24, ukutholakala kwezindawo zesevisi akunamthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lenqubomgomo yesikhuthazo sokuthenga (0.017) isekela i-Hypothesis 25, inqubomgomo yokukhuthaza ukuthenga inomphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lenqubomgomo yonyaka yesaphulelo sentela (0.672) ayisekeli i-Hypothesis 26, inqubomgomo yokukhuthaza isaphulelo sonyaka yentela ayinamphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lenqubomgomo yesaphulelo sezindleko zokushaja (0.00) isekela i-Hypothesis 27, inqubomgomo yokukhuthaza isaphulelo sezindleko zokushaja inomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Ngokusho komphumela wezinga le-macro, ukwamukelwa kwesithuthuthu sikagesi kungatholakala uma isiteshi sokushaja emsebenzini, isiteshi sokushaja endaweni yokuhlala, kanye nenqubomgomo yesaphulelo sezindleko zikulungele ukuthola abathengi. Kukonke, imvamisa yokwabelana ezinkundleni zokuxhumana, izinga lokuqwashisa ngezemvelo, amanani entengo, izindleko zesondlo, isivinini esiphezulu sezithuthuthu zikagesi, isikhathi sokushaja amabhethri, ukutholakala kwengqalasizinda yesiteshi sokushaja emsebenzini, ukutholakala kwamandla kagesi asekhaya - ingqalasizinda yokushaja, UTAMI ET AL. / I-JOURNAL NGOKUKHULULEKA KWEZINHLELO EZIMBONI - IVOL. 19 CHA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. Izinqubomgomo zokukhuthaza ukuthenga ezingama-77, nokushaja izinqubomgomo zezikhuthazo zezindleko zithonya kakhulu inhloso yokwamukela izimoto zikagesi. Isibonelo se-Equation kanye nomsebenzi wokulinganisa i-equation equation ye-logit yokukhethwa kwempendulo "engathandi ngokuqinile" ukwamukela isithuthuthu sikagesi.  =  = + 27 1 01 (1 |) kg Y Xn   k Xik (3) Isibalo 4 yisibalo se-logit sokukhetha impendulo ethi "ongafuni" ukwamukela isithuthuthu sikagesi.  =  = + 27 1 02 (2 |) kg Y Xn   k Xik (4) Isibalo 5 yisilinganiso se-logit sokukhetha impendulo "ukungabaza" yokuthola isithuthuthu sikagesi.  =  = + 27 1 03 (3 |) kg Y Xn   k Xik (5) Isibalo 6 yisibalo se-logit senketho yempendulo “ovumayo” ukwamukela isithuthuthu sikagesi.  =  = + 27 1 04 (4 |) kg Y Xn   k Xik (6) Imisebenzi yamathuba wokutholwa izithuthuthu zikagesi eziboniswe ku-Equation 7 kuya ku-Equation 11. Isibalo 7 kungumsebenzi onokwenzeka wokukhetha impendulo " engathandi neze ”ukwamukela isithuthuthu sikagesi. I-eenng YX g YXP Xn PY Xn (1 |) (1 |) 1 1 () (1 |)   + = =  (7) Isibalo 8 kungumsebenzi wokukhethwa kwempendulo "engafuni" ukwamukela isithuthuthu sikagesi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (1 |) (1 |) (2 |) (2 |) 2 1 1 (2 |) (1 |) () (2 |)     + - + = =  -  = = (8) Isibalo 9 kungumsebenzi onokwenzeka wokukhetha impendulo "ukungabaza" ukwamukela isithuthuthu sikagesi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (2 |) (2 |) (3 |) (3 |) 3 1 1 (3 |) (2 |) () (3 |)     + - + = =  -  = = (9) Isibalo esingu-10 kungumsebenzi onokwenzeka wokukhetha impendulo ethi "uzimisele" ukwamukela isithuthuthu sikagesi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (3 |) (3 |) (4 |) (4 |) 4 1 1 (4 |) (3 |) () (4 |)     + - + = =  -  = = (10) Isibalo esingu-11 kungumsebenzi wokuzikhethela kwempendulo "ezimisele kakhulu" ukwamukela isithuthuthu sikagesi. I-eenng YX g YX nnn PYXPXPYX (4 |) (4 |) 5 1 1 1 (4 |) () (5 |)   + = - = -  = = (11) Ukwamukelwa Kwenhloso Yokwamukelwa Ithuba le-reginal logistic regression equation ngaleso sikhathi kusetshenziswe kwisampula sezimpendulo zabaphenduli. Ithebula 8 likhombisa izici nezimpendulo zesampula. Ngakho-ke amathuba okuphendula umbandela ngamunye kokuguquguqukayo okuncikile abalwa ngokususelwa ku-Equation 7 - 11. Isampula labaphendulile abanezimpendulo njengoba kukhonjisiwe kuThebula 7 banamathuba okuba yi-0.0013 ngokungathandi ukusebenzisa isithuthuthu sikagesi, ithuba elingu-0.0114 ngokungathandi ukusebenzisa isithuthuthu sikagesi, ithuba elingu-0.1788 ngokungabaza ukusebenzisa isithuthuthu sikagesi, ithuba elingu-0,563 lokuzimisela ukusebenzisa isithuthuthu sikagesi, kanye nethuba elingu-0.2455 lokuzimisela ngokuqinile ukusebenzisa isithuthuthu sikagesi. Amathuba okutholwa kwesithuthuthu sikagesi kwabaphenduli abangu-1,223 nawo abalwa futhi inani elijwayelekile lamathuba okuphendula ngokungafuni ukusebenzisa isithuthuthu sikagesi kwakungu-0.0031, ukungafuni ukusebenzisa isithuthuthu sikagesi kwakungu-0.0198, ukungabaza ukusebenzisa isithuthuthu sikagesi kwakungu-0.1482, ezimisele ukusebenzisa isithuthuthu sikagesi sasingu-0.3410, futhi sizimisele kakhulu ukusebenzisa isithuthuthu sikagesi sasingu-0.4880. Uma amathuba okuzimisela nokuzimisela eqinile esewonke, amathuba okuthi abantu base-Indonesia bathole izithuthuthu zikagesi afinyelela kuma-82.90%. Izincomo zabenzi bezebhizinisi nezinqubomgomo Ekuhlaziyweni kwe-reginal logistic regression, imvamisa yokwabelana ezinkundleni zokuxhumana kuyinto ebalulekile ethinta inhloso yokwamukela isithuthuthu sikagesi. Ukubaluleka kwezinkundla zokuxhumana njengengxenyekazi yomphakathi yokuthola ulwazi ngezithuthuthu zikagesi kuzoba nomthelela ekuzimiseleni ukwamukela izithuthuthu zikagesi. Uhulumeni nosomabhizinisi bangazama ukusebenzisa le nsiza, isibonelo, osomabhizinisi bangenza ukukhushulwa ngamabhonasi noma ngokwazisa abathengi abathenga izithuthuthu zikagesi futhi babelana ngezinto ezinhle ezihlobene nezithuthuthu zikagesi ezinkundleni zokuxhumana. Ngale ndlela kungahle kukhuthaze abanye ukuthi babe umsebenzisi omusha wesithuthuthu sikagesi. Uhulumeni angaxhumana nabantu noma ethule izithuthuthu zikagesi emphakathini ngokusebenzisa imithombo yezokuxhumana ukukhuthaza ukususwa komphakathi kusuka esithuthuthu esijwayelekile kuya esithuthuthu sikagesi. Lolu cwaningo lufakazela ukuthi libaluleke kangakanani ithonya lezinto ezisezingeni eliphakeme ekwamukelweni kwezithuthuthu zikagesi e-Indonesia. Ekuhlaziyweni kwe-reginal logistic regression, ukukhokhisa ukutholakala kwengqalasizinda yeziteshi emsebenzini, ukushaja ukutholakala kwengqalasizinda yeziteshi ekhaya, inqubomgomo yenkuthazo yokuthenga, kanye nesaphulelo sezindleko zokushaja kuthonya kakhulu inhloso yokwamukela isithuthuthu sikagesi. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 CHA. I-1 (2020) 70-81 78 Utami et al. I-DOI: 10.25077 / josi.v19.n1.p70-81.2020 Ithebula 7. Izimpendulo Zempendulo Zempendulo I-Variabel Impendulo Yenani Isimo Somshado Esishadile X1b 2 Age 31-45 X2 2 Ubulili Owesilisa X3a 1 Izinga Lokugcina Lezemfundo Master X4 4 Umsebenzi Abasebenzi abazimele X5c 3 Nyangazonke izinga lokusetshenziswa Rp2.000.000-5.999.999 X6 2 Izinga lemali engenayo yenyanga Rp. 6.000.000-9.999.999 X7 3 Inani lobunikazi bezithuthuthu ≥ 2 X8 3 Imvamisa yokwabelana ezinkundleni zokuxhumana amahlandla amaningi / inyanga X9 4 Usayizi wenethiwekhi yokuxhumana online abantu abayi-100-500 X10 2 Ukuqwashiswa kwemvelo 1 X11 1 Harga beli 3 X12 3 Izindleko zebhetri 3 X13 3 Izindleko zokushaja 3 X13 3 Izindleko zokulungisa 5 X14 5 Amandla we-Mileage 4 X15 4 Power 5 X16 5 Isikhathi sokushaja 4 X17 4 Ukuphepha 5 X18 5 Impilo yebhethri 4 X19 4 Ukutholakala kwesiteshi sokushaja ezindaweni zomphakathi 4 X20 4 Ukutholakala kwesiteshi sokushaja emsebenzini 4 X21 4 Ukutholakala kwesiteshi sokushaja ekhaya 4 X22 4 Ukutholakala kwezindawo zokuhlinzeka 2 X23 2 Inqubomgomo yesikhuthazo sokuthenga 5 X24 5 Inqubomgomo yesaphulelo sentela yonyaka 5 X25 5 Inqubomgomo yesaphulelo sezindleko 5 X26 5 Izindleko zokushaja 5 X27 5 Izindleko zesondlo 3 X13 3 Mileage amandla 5 X14 5 Power 4 X15 4 Isikhathi sokushaja 5 X16 5 Iningi labaphenduli libheka ukushaja ukutholakala kwengqalasizinda yesiteshi emakhaya, ezindaweni zokusebenza kanye nasezindaweni zomphakathi njengokuthonya okukhulu ukwamukelwa kwezithuthuthu zikagesi. Uhulumeni angahlela ukufakwa kwengqalasizinda yesiteshi sokushaja ezindaweni zomphakathi ukuxhasa ukwamukelwa kwezithuthuthu zikagesi. Uhulumeni futhi angasebenza ngokubambisana nomkhakha wamabhizinisi ukukubona lokhu. Ekwakheni izinkomba ezisezingeni eliphakeme, lolu cwaningo luphakamisa izinketho zenqubomgomo yokukhuthaza eziningana. Izinqubomgomo ezibaluleke kakhulu zesikhuthazo ngokusho kocwaningo izinqubomgomo zokukhuthaza ukuthenga nokukhokhisa izinqubomgomo zezikhuthazo zezindleko ezingabhekwa nguhulumeni ukuxhasa ukwamukelwa kwezithuthuthu zikagesi e-Indonesia. Ezimeni zezimali, intengo yokuthenga inomthelela omkhulu enhlosweni yokuthenga isithuthuthu sikagesi. Lesi yisizathu esenza ukuthi isikhuthazo soxhaso lokuthenga sibe nomthelela omkhulu enhlosweni yokwamukelwa. Izindleko ezishibhile zesondlo sezithuthuthu zikagesi kunezithuthuthu ezivamile zinomthelela omkhulu enhlosweni yokwamukelwa kwezithuthuthu zikagesi. Ngakho-ke ukutholakala kwezinsizakalo ezihlangabezana nezidingo zabathengi kuzoqhubeka nokukhuthaza inhloso yokwamukela izithuthuthu zikagesi ngoba iningi labasebenzisi alizazi izinto ezisezithuthuthu zikagesi ngakho-ke zidinga ochwepheshe abanamakhono uma kukhona umonakalo. Ukusebenza kwezithuthuthu zikagesi kuhlangabezane nezidingo zabathengi ukuhlangabezana nokuhamba kwabo kwansuku zonke. Isivinini esiphezulu sesithuthuthu sikagesi nesikhathi sokushaja siyakwazi ukuhlangabezana namazinga afunwa ngabathengi. Kodwa-ke, ukusebenza kangcono kwesithuthuthu njengokuphepha okwandisiwe, impilo yebhethri, namanye amamayela ngokuqinisekile kuzokwandisa inhloso yokwamukela isithuthuthu sikagesi. Ngaphezu kokukhulisa utshalomali lobuchwepheshe, uhulumeni namabhizinisi kumele futhi bathuthukise uhlelo lokuhlola ukuphepha nokuthembeka kwezithuthuthu zikagesi ukukhulisa ukwethembana komphakathi. Kumabhizinisi, ukukhuthaza ikhwalithi nokusebenza kungenye yezindlela eziphumelela kakhulu zokwandisa intshisekelo yabathengi ngezithuthuthu zikagesi. Abathengi abasebasha futhi abanezinga eliphakeme lemfundo bangaqondiswa njengabaqashi bokuqala ukuba babe ngamathonya ngoba vele banesimo sengqondo sethemba futhi banenethiwekhi ebanzi. Ukuhlukaniswa kwemakethe kungatholakala ngokusungula amamodeli athile wabathengi abahlosiwe. Ngaphezu kwalokho, abaphenduli abanolwazi oluphakeme ngemvelo babesemathubeni amaningi okufuna ukwamukela izithuthuthu. UTAMI ET AL. / I-JOURNAL NGOKUKHULULEKA KWEZINHLELO EZIMBONI - IVOL. 19 CHA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 79 IZIPHETHO Ukusuka ezithuthuthu ezijwayelekile kuya kwizithuthuthu zikagesi kungaba yisixazululo esingcono kakhulu sokunqoba inkinga yamazinga aphezulu e-CO2 e-Indonesia. Uhulumeni wase-Indonesia naye wabona futhi wangenela ngokubeka izinqubomgomo ezahlukahlukene maqondana nezimoto zikagesi e-Indonesia. Kepha empeleni, ukwamukelwa kwezimoto ezisebenza ngogesi e-Indonesia kusesekuqaleni kakhulu ngisho kude nezinhloso ezibekwe nguhulumeni. Imvelo ayikusekeli ukwamukelwa kwezithuthuthu zikagesi ezifana nemithetho engekho eminye imininingwane kanye nokuntuleka kwengqalasizinda esekelayo edala ukwamukelwa okuphansi kwezimoto zikagesi e-Indonesia. Lolu cwaningo luhlolisise abaphenduli abangu-1,223 abavela ezifundazweni eziyi-10 ezazinengqikithi engama-80% yenani eliphelele lokusatshalaliswa kokuthengiswa kwezithuthuthu e-Indonesia ukuthola izici ezibalulekile ezithinta izinhloso zokwamukela izithuthuthu zikagesi e-Indonesia nokuthola amathuba okuba khona. Yize iningi lomthandi ophendulayo ngezithuthuthu zikagesi futhi lifuna ukuba nesithuthuthu sikagesi ngokuzayo, intshisekelo yabo yokwamukela isithuthuthu sikagesi kulezi zinsuku iphansi uma kuqhathaniswa. Abaphendulile abafuni ukusebenzisa izithuthuthu zikagesi ngalesi sikhathi ngenxa yezizathu ezahlukahlukene njengokuntuleka kwengqalasizinda nezinqubomgomo. Abaphenduli abaningi banesimo sengqondo sokulinda futhi babheke ekwamukelweni kwezithuthuthu zikagesi, ngezinto zezimali, izinto zobuchwepheshe, namazinga amakhulu okumele alandele izidingo zabathengi. Lolu cwaningo lufakazela ukuthi kubaluleke kangakanani imvamisa yokwabelana ezinkundleni zokuxhumana, izinga lokuqwashisa ngezemvelo, amanani entengo, izindleko zokulungisa, ijubane eliphezulu lezithuthuthu zikagesi, isikhathi sokushaja amabhethri, ukutholakala kwengqalasizinda yesiteshi sokushaja emsebenzini, ukutholakala kwengqalasizinda yokushaja ingqalasizinda, ukuthenga izinqubomgomo zokukhuthaza, nokushaja izinqubomgomo zezikhuthazo zezindleko kusekela ukwamukelwa kwezithuthuthu zikagesi e-Indonesia. Uhulumeni udinga ukuxhasa ukuhlinzekwa kwengqalasizinda yeziteshi ezishaja kanye nokwenziwa kwenqubomgomo yokukhuthaza ukusheshisa ukwamukelwa kwezithuthuthu zikagesi e-Indonesia. Izici zobuchwepheshe ezinjenge-mileage nempilo yebhethri zidinga ukucatshangelwa ngabakhiqizi ukuze zenziwe ngcono ukuxhasa ukwamukelwa kwezithuthuthu zikagesi. Izici zezezimali ezinjengezintengo zokuthenga nezindleko zebhethri kumele zikhathaze amabhizinisi nohulumeni. Ukusetshenziswa okuphelele kwezokuxhumana nabantu kufanele kuthathwe ukwethula isithuthuthu sikagesi emphakathini. Imiphakathi isencane ingakhuthaza njengabafundi bokuqala ngoba inenethiwekhi ebanzi yezokuxhumana. Ukugcwaliseka kokwamukelwa kwezithuthuthu zikagesi e-Indonesia kudinga ukulungela ingqalasizinda nezindleko ezingamukelwa abathengi. Lokhu ukwazile ukusetshenziswa nguhulumeni ngokuzibophezela okuqinile kukahulumeni emazweni amaningana aphumelele ukufaka izimoto ezijwayelekile. Olunye ucwaningo luzogxila ekutholeni izinqubomgomo ezifanele ukusheshisa ukwamukelwa kwezithuthuthu zikagesi e-Indonesia. Izinkomba [1] I-Indonesia. Isitatimende seBadan Pusat; I-Perkembangan Jumlah Kendaraan Bermotor Menurut Jenis 1949-2018, 2019 [Online]. Kuyatholakala: bps.go.id. [2] I-Asosiasi Industri Sepeda Motor Indonesia: Ukusatshalaliswa Kwasekhaya kanye Nezibalo Zokuthekelisa, 2020. [Ku-inthanethi]. https://www.aisi.or.id/statistic. [Kufinyelelwe: Mashi. 20, 2020]. [3] uG. A. Purwanto, noM. Nizam, "Imodeli yezentengiselwano yobuchwepheshe obusha be-lithium ion ibhethri: Ucwaningo lwamacala emoto kagesi ehlakaniphile", Izinqubo zeNgqungquthela Yomhlaba Jikelele Ka-2013 Yezokwaziswa Kwezindawo Zasemakhaya Nezobuchwepheshe Bokuxhumana kanye Nezobuchwepheshe Bezimoto, i-rICT ne-ICEV -T 2013, 6741511.https: //doi.org/10.1109/rICTICeVT.2013.6741511. [5] UM. In Innovation under Uncertainty, ”ku-Edward Elgar Publishing, 93. I-Amsterdam: Elsevier, 2015. [6] M. Weiss, P. Dekker, A. Moro, H. Scholz, noMK Patel,“ Ekufakeni ugesi ezokuthutha emigwaqweni-- ukubuyekezwa kokusebenza kwamasondo amabili ezemvelo, ezomnotho, kanye nezenhlalo, ”Ingxenye Yokucwaninga Kwezokuthutha Ezokuthutha kanye Nezemvelo, vol. 41, amakhasi 348-366, 2015. https://doi.org/10.1016/j.trd.2015.09.007. [7] M. Nizam, "Produksi Kit Konversi Kendaraan Listrik Berbasis Baterai Untuk Sepeda Motor Roda Dua Dan Roda Tiga," Laporan Akhir Hibah PPTI, Badan Pengelola Usaha Universitas Sebelas Maret, 2019. [8] MNA Jodinesa, W. Sutopo, no R. Zakaria, "UMarkov Chain Analysis to Indentify the Market Share Prediction of New Technology: A Case Study of Electric Conversion Motorcycle eSurakarta, Indonesia", I-AIP Conference Proceedings, vol. 2217 (1), amakhasi 030062), 2020. I-AIP Publishing LLC. [9] W. Sutopo no-EA Kadir, “An Indonesian Standard of Lithium-ion Battery Cell Ferro Phosphate for Electric Vehicle Alications”, ITELKOMNIKA Indonesian Journal of Electrical Engineering, vol. 15 (2), amakhasi 584-589, 2017. https://doi.org/10.12928/telkomnika.v15i2.6233. [10] B. Rahmawatie, W. Sutopo, F. Fahma, M. Nizam, A. Purwanto, BB Louhenapessy, kanye noABMulyono, "Ukwakha uhlaka lwezimfuneko zokumisa nokuhlola uhlelo lokuphathwa kwebhethri lokufaka isicelo semoto kagesi", Iqhubeka - 4 Ingqungquthela Yomhlaba Wonke Yezobuchwepheshe Bezithuthi Zikagesi, amakhasi 7-12, 2018. https://doi.org/10.1109/ICEVT.2017.8323525. [11] W. Sutopo, M. Nizam, B. Rahmawatie, dan F. Fahma, "A Review of Electric Vehicles Charging Standard Development: Study Case in Indonesia", Proceeding - 2018 5th International Conference on Electric Vehicular Technology, vol. 8628367, amakhasi 152-157, 2018. https://doi.org/10.1109/ICEVT.2018.8628367. [12] Gaikindo: Tahun 2040 Indonesia Stop Mobil Berbahan Bakar Minyak, 2017. [Ku-inthanethi]. gaikindo.or.id. [Kufinyelelwe: Mashi. 20, 2020]. [13] S. Goldenberg, ”Indonesia to Cut Carbon Emissions by 29% by 2030 ″, the Guardian, 2015. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 CHA. 1 (2020) 70-81 80 Utami et al. I-DOI: 10.25077 / josi.v19.n1.p70-81.2020 [14] YN Sang no-HA Bekhet, ”iModeling Electric Vehicle Usage Intentions: An Empirical Study in Malaysia,” Journal of Cleaner Production, vol. 92, amakhasi 75-83, 2015. https://doi.org/10.1016/j.jclepro.2014.12.045. [15] ZY She, Q. Sun, JJ Ma, no-BC Xie, “Yiziphi Izithiyo Ekwamukelweni Okusabalele Kwezimoto Zikagesi Zebhetri? Ucwaningo Lokubona Komphakathi eTianjin, eChina, ”Journal of Transport Policy, vol. 56, amakhasi 29-40, 2017. https://doi.org/10.1016/j.tranpol.2017.03.001. [16] N. Berkeley, D. Jarvis, no A. Jones, “Ukuhlaziya ukuthatha kwezimoto ezisebenza ngogesi webhethri: Uphenyo lwezithiyo phakathi kwabashayeli base-UK,” Ingxenye Yokucwaninga Kwezokuthutha Ezokuthutha Nezemvelo, vol. 63, amakhasi 466-481, 2018. https://doi.org/10.1016/j.trd.2018.06.016. [17] C. Zhuge noChao Shao, "Ukuphenya Izinto Ezinomthelela Ekuthathweni Kwezimoto Zikagesi eBeijing, eChina: Statistical and Spatial Perspectives," Journal of Cleaner Production, vol. 213, amakhasi 199-216, 2019. https://doi.org/10.1016/j.jclepro.2018.12.099. [18] A. Widardjono, Analisis Multivariat Terapan dengan Uhlelo SPSS, AMOS, dan SMARTPLS (2nd Ed). I-Yogyakarta: UPP STIM YKPN, 2015. [19] T. Laukkanen, "Ukwamukelwa kwabathengi uma kuqhathaniswa nezinqumo zokwenqatshwa emisha ebonakala ifana nse yensizakalo: Icala le-Intanethi nokubhanga okuhambayo", i-Journal of Business Research, vol. I-69 (7), amakhasi 2432-2439, 2016. https://doi.org/10.1016/j.jbusres.2016.01.013. [20] V. Vasseur noR. Kemp, "Ukwamukelwa kwe-PV eNetherlands: Ukuhlaziywa kwezibalo zezici zokutholwa", Ukuvuselelwa Kwezamandla Okuvuselelekayo, Vol. 41, amakhasi 483-494, 2015. https://doi.org/10.1016/j.rser.2014.08.020. [21] Ilungu lePhalamende uGagnon, E. Orruño, J. Asua, AB Abdeljelil noJ. Emparanza, “Using Modified Technology Acceptance Model to Evaluate Healthcare Professionals 'Adoption of a New Telemonitoring System”, Telemedicine and e-Health, vol. 18 (1), amakhasi 54-59, 2012. https://doi.org/10.1089/tmj.2011.0066. [22] N. Phaphoom, X. Wang, S. Samuel, S. Helmer, no-P. Abrahamsson, "Ucwaningo olwenziwe ngezithiyo ezinkulu zobuchwepheshe ezithinta isinqumo sokwamukela izinsizakalo zefu", iJeneral of Systems and Software, vol. 103, amakhasi 167-181, 2015. https://doi.org/10.1016/j.jss.2015.02.002. [23] MWD Utami, AT Haryanto, and W. Sutopo, "Consumer Perception Analysis of Electric Car Vehicle in Indonesia", AIP Conference Proceedings (Vol. 2217, No. 1, p. 030058), 2020. I-AIP Publishing LLC [24 ] Yuniaristanto, DEP Wicaksana, W. Sutopo, noM. Nizam, “Proposed process process business technology commercialization: A case study of electric car technology incubation”, Proceedings of 2014 International Conference on Electrical Engineering and Computer Science, ICEECS, 7045257, amakhasi. 254-259. https://doi.org/10.1109/ICEECS.2014.7045257. [25] MA Bujang, N. Sa'at, no TM Bakar, ”Imihlahlandlela yosayizi wesampula yokuhleleka kwezinto kusuka ezifundweni zokubuka ezinabantu abaningi: kugcizelelwa ukunemba phakathi kwezibalo nemingcele kususelwa kwimininingwane yangempela yempilo yomtholampilo”, Umagazini waseMalaysia isayensi yezokwelapha: MJMS, vol. 25 (4), amakhasi 122, 2018. https://doi.org/10.21315/mjms2018.25.4.12. [26] uE. Ukubuyekezwa kokwamukelwa kwabathengi kwezithuthuthu zikagesi ”, International Journal of Sustainable Transportation, vol. 15 (3), amakhasi 215-231, 2020. https://doi.org/10.1080/15568318.2018.1540735. [28] S. Habich-Sobiegalla, G. Kostka, noN. Anzinger, "Izinhloso zokuthengwa kwezimoto zikagesi zezakhamizi zaseChina, zaseRussia nezaseBrazil: Ucwaningo lokuqhathanisa lwamazwe omhlaba", Ijenali yokukhiqiza okuhlanzayo, vol. 205, amakhasi 188- 200, 2018. https://doi.org/10.1016/j.jclepro.2018.08.318. [29] W. Sierzchula, S. Bakker, K. Maat, no-B. Van Wee, "Umthelela wezikhuthazo zezezimali nezinye izinto ezithinta ezenhlalo nezomnotho ekwamukelweni kwezimoto zikagesi", Inqubomgomo Yezamandla, vol. 68, amakhasi 183-194, 2014. https://doi.org/10.1016/j.enpol.2014.01.043. [30] U-RM Krause, u-SR Carley, u-BW Lane, no-JD Graham, "Ukubona kanye neqiniso: ulwazi lomphakathi ngezimoto ezixhuma ugesi emadolobheni angama-21 ase-US", Energy Policy, vol. 63, amakhasi 433-440, 2013. https://doi.org/10.1016/j.enpol.2013.09.018. [31] D. Browne, M. O'Mahony, no-B. Caulfield, "Kufanele zihlolwe kanjani izithiyo kwezinye izinto zokubasa kanye nezimoto kanye nezinqubomgomo ezingaba khona zokukhuthaza ubuchwepheshe obusha?", Journal of Cleaner Production, vol. 35, amakhasi 140-151, 2012. https://doi.org/10.1016/j.jclepro.2012.05.019. [32] O. Egbue and S. Long, "Izithiyo ekwamukelweni kabanzi kwezimoto zikagesi: ukuhlaziywa kwezimo zabathengi nemibono yabo", Journal of Energy Policy, vol. 48, amakhasi 717–729, 2012. https://doi.org/10.1016/j.enpol.2012.06.009. [33] X. Zhang, K. Wang, Y. Hao, JL Fan, no-YM Wei, "Umthelela wenqubomgomo kahulumeni ngokuthanda ama-NEV: ubufakazi obuvela eChina", Energy Policy, vol. 61, amakhasi 382–393, 2013. https://doi.org/10.1016/j.enpol.2013.06.114. [34] I-BK Sovacool ne-RF Hirsh, "Beyond amabhethri: ukuhlolwa kwezinzuzo nezithiyo zokuxhuma i-plug-in izimoto ezihamba ngamandla kagesi (ama-PHEV) kanye nokushintshelwa kwemoto-to-grid (V2G)", Energy Policy, vol. 37, amakhasi 1095-1103, 2009. https://doi.org/10.1016/j.enpol.2008.10.005. [35] E. Graham-Rowe, B. Gardner, C. Abraham, S. Skippon, H. Dittmar, R. Hutchins, noJ. ukuhlaziywa kwekhwalithi yezimpendulo nokuhlolwa ”, Transp. Res. Ingxenye A: Inqubomgomo Pract., Vol. 46, amakhasi 140-153, 2012. https://doi.org/10.1016/j.tra.2011.09.008. [36] AF Jensen, E. Cherchi, and SL Mabit, "Mainstream abathengi abashayela ama-plug-in amabhetri-kagesi kanye ne-plugin hybrid izimoto zikagesi: ukuhlaziywa kwekhwalithi yezimpendulo nokuhlolwa", iTransp. Res. Ingxenye D: Transp. I-Environ., Vol. 25, amakhasi 24-32, 2013. [Ku-inthanethi]. Kuyatholakala: ScienceDirect. [37] ND Caperello noKS Kurani, “Izindaba Zemizi 'zokuhlangana kwabo nemoto kagesi eyi-hybrid hybrid”, i-Environ. I-Behav., Vol. 44, amakhasi 493-508, 2012. https://doi.org/10.1177/0013916511402057. [38] JS Krupa, DM Rizzo, MJ Eppstein, D. Brad-Lanute, DE Gaalema, K. Lakkaraju, no-CE Warrender, "Izindaba Zemizi 'zokuhlangana kwabo nemoto kagesi eyi-hybrid", Ukuhlaziywa kocwaningo lwabathengi ku UTAMI ET AL. / I-JOURNAL NGOKUKHULULEKA KWEZINHLELO EZIMBONI - IVOL. 19 CHA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. Izimoto zikagesi ezingama-hybrid ezingama-81. Dlulisa. Res. Ingxenye A: Inqubomgomo Pract., Vol. 64, amakhasi 14-31, 2014. https://doi.org/10.1016/j.tra.2014.02.019. [39] UDW Hosmer noS. Lemeshow, “Applied Logistic Regression. Uhlelo lwesibili ”, eNew York: John Willey & Sons, 2000. https://doi.org/10.1002/0471722146. NOMENCLATURE j izigaba eziguquguqukayo ezincikene (j = 1, 2, 3, 4, 5) k izigaba ezizimele eziguquguqukayo (k = 1, 2, 3,…, m) i izigaba ezizimele eziguquguqukayo ezizimele ngokulandelana kwabaphenduli β0j thola impendulo ngayinye yokuncika okuguquguqukayo kwe-Xk okuguquguqukayo okuzimele okuguquguqukayo kwe-Xik quanlitative okuguquguqukayo okuhlukile kwe-Y okuguquguqukayo kwe-Pj (Xn) ithuba lesigaba ngasinye sokuhluka okuzimele kumuntu ngamunye ophendulayo ABABHALI BI-BIOGRAPHY UMartha Widhi Dela Utami UMartha Widhi Dela Utami ungumfundi owenza iziqu ze-Industrial Engineering Department of Universitas Sebelas Maret. UngoweLogistics and Business System Laboratory. Izintshisekelo zakhe zocwaningo ukuphathwa kwempahla nokuphathwa kocwaningo kanye nezimakethe. Washicilela incwadi yakhe yokuqala mayelana nokuhlaziywa kwemoto kagesi e-Indonesia ngo-2019. I-Yuniaristanto Yuniaristanto inguthisha nomcwaningi eMnyangweni Wezobunjiniyela Bezimboni, e-Universitas Sebelas Maret. Izintshisekelo zakhe zocwaningo ukuthengwa kwempahla, imodeli yokulingisa, ukukala kokusebenza kanye nokwenza ezobuchwepheshe. Unemibhalo ekhonjwe yi-Scopus, ama-athikili angama-41 ane-4 H-index. I-imeyili yakhe yuniaristanto@ft.uns.ac.id. UWahyudi Sutopo Wahyudi Sutopo, ubambe iziqu zobunjiniyela (Ir) ezivela ku-Study Program of Professional Engineer - Universitas Sebelas Maret (UNS) ngo-2019. Uthole iDoctorate yakhe emkhakheni we-Industrial Engineering and Management kwa-Institut Teknologi Bandung (ITB) e Ngo-2011, iMasters of Science in Management evela eUniversitas Indonesia ngo-2004 neBachelor of Engineering in Industrial Engineering esuka ku-ITB ngo-1999. Izintshisekelo zakhe zocwaningo ezokuhlinzekwa kwezidingo, ezomnotho zobunjiniyela kanye nokuhlaziywa kwezindleko, kanye nezentengiselwano kwezobuchwepheshe. Uthole izibonelelo ezingaphezu kuka-30 zocwaningo. Unemibhalo ekhonjwe yi-Scopus, ama-athikili ayi-117 ane-7 H-index. I-imeyili yakhe ithi wahyudisutopo@staff.uns.ac.id.Imiphumela yokuhlaziywa kokuhleleka kokuhleleka kokuguquguqukayo kwe-TE1 nge-TE5 okungokwesici sobuchwepheshe kukhombisa imiphumela yokuthi isikhathi sokushaja ibhethri (i-TE3) sinomthelela omkhulu enhlosweni yokwamukelwa kwezithuthuthu zikagesi e-Indonesia. Inani elibalulekile lekhono le-mileage (0.107) alisekeli i-Hypothesis 16, amandla we-mileage awanamthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso semayela eliphakeme lingu-0.146, uphawu oluqondile lisho ukuthi lapho kufaneleka kakhulu ibanga eliphakeme lesithuthuthu sikagesi kothile, kuphakama inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lamandla aguqukayo azimele noma ijubane eliphezulu (0.052) alihambisani neHypothesis 17, isivinini esikhulu asithinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani le-esimate yamandla noma isivinini esikhulu ngu-0.167, uphawu oluqondile lisho ukuthi lapho kufaneleka kakhulu ijubane eliphezulu lesithuthuthu sikagesi kumuntu, inhloso ephakeme yokwamukela isithuthuthu sikagesi iyanda. Inani elibalulekile lesikhathi sokushaja (0.004) lisekela i-Hypothesis 18, isikhathi sokushaja sinomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani elilinganisiwe lesikhathi sokushaja ngu-0.240, uphawu oluqondile lisho ukuthi lapho kufanele isivinini esiphezulu sesithuthuthu sikagesi kothile, inhloso ephakeme yokwamukela isithuthuthu sikagesi iphakama kakhulu. Inani elibalulekile lokuphepha (i-0.962) alisekeli i-Hypothesis 19, ukuphepha akuthinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani lokulinganisela ukuphepha ngu -0.005, uphawu olubi lisho ukuthi lapho umuntu evikeleka kakhudlwana esebenzisa isithuthuthu sikagesi, kwehlisa inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lempilo yebhethri (i-0.424) alisekeli i-Hypothesis 20, impilo yebhethri ayinamphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani lesilinganiso sempilo yebhethri lingu-0.068, uphawu oluqondile lisho ukuthi uma isikhathi sokuphila sebhethri lesithuthuthu sikagesi silifaneleka ngokwengeziwe, inhloso ephakeme yokwamukela isithuthuthu sikagesi iyanda kakhulu. Imiphumela yokuhlaziywa kokuhleleka kokuhleleka kokuguquguqukayo kwe-ML1 kuya ku-ML7 okuyizinto ezinamazinga amakhulu kukhombisa imiphumela ekhokhisa ukutholakala kuphela emsebenzini (ML2), ukushaja ukutholakala endaweni yokuhlala (ML3), kanye nenqubomgomo yesaphulelo sezindleko (ML7) ezinomthelela omkhulu enhlosweni yokwamukelwa kwezithuthuthu zikagesi e-Indonesia. Inani elibalulekile lokutholakala kokushaja ezindaweni zomphakathi (0.254) alisekeli i-Hypothesis 21, ukushaja ukutholakala ezindaweni zomphakathi akuthinti kakhulu inhloso yokwamukela isithuthuthu sikagesi. Inani elibalulekile lokutholakala kokushaja emsebenzini (0.007) lisekela i-Hypothesis 22, ukushaja ukutholakala emsebenzini kunomphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lokutholakala kokushaja ekhaya (0.009) lisekela i-Hypothesis 22, ukutholakala kokushaja ekhaya kunomthelela omkhulu enhlosweni yokwamukela isithuthuthu. Inani elibalulekile lokutholakala kwezindawo zensiza (0.181) alisekeli i-Hypothesis 24, ukutholakala kwezindawo zesevisi akunamthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lenqubomgomo yesikhuthazo sokuthenga (0.017) isekela i-Hypothesis 25, inqubomgomo yokukhuthaza ukuthenga inomphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lenqubomgomo yonyaka yesaphulelo sentela (0.672) ayisekeli i-Hypothesis 26, inqubomgomo yokukhuthaza isaphulelo sonyaka yentela ayinamphumela obalulekile enhlosweni yokwamukela isithuthuthu sikagesi. Inani elibalulekile lenqubomgomo yesaphulelo sezindleko zokushaja (0.00) isekela i-Hypothesis 27, inqubomgomo yokukhuthaza isaphulelo sezindleko zokushaja inomthelela omkhulu enhlosweni yokwamukela isithuthuthu sikagesi. Ngokusho komphumela wezinga le-macro, ukwamukelwa kwesithuthuthu sikagesi kungatholakala uma isiteshi sokushaja emsebenzini, isiteshi sokushaja endaweni yokuhlala, kanye nenqubomgomo ye