Ke ʻimi nei ke aupuni o Indonesia i ka lawe ʻia o 2.1 miliona mau uila o nā kaʻa uila ʻelua huila a me nā hui uila he 2,200 o nā kaʻa uila ʻehā ma 2025 ma o ka Repubalika o Indonesia Peresidena Hoʻolaha No. 22 ma 2017 e pili ana i ka National Energy General Plan. I ka 2019, ua hoʻopuka ke Aupuni o Indonesia i ka Rula Pelekikena Pelekikena No. 55 i ka 2019 e pili ana i ka wikiwiki o ka Polokalamu Uila Uila Uila no ke Alanui Alanui. I ka makahiki 2018, ua hōʻea wale ke kaʻa kaʻa uila ʻelua huila i ka 0.14% o ka pahuhopu o ke aupuni no 2025. No laila, pono nō hoʻi i ka lawe ʻia ʻana o ka ʻenehana Uila Huila (EM) e noʻonoʻo pono i nā mea he nui e holo pono ai. Ke hoʻomohala nei kēia noiʻi i kahi hoʻohālikelike manaʻo hoʻohālikelike uila kaʻa ʻole. Loaʻa nā kumu i ka sociodemographic, financial, ʻenehana, a me macrolevel. ʻO ka nānā ʻana ma ka pūnaewele me 1,223 mau mea pane. Hoʻohana ʻia ka loiloi Logistic e kiʻi i ka hana a me ka waiwai kūpono o ka manaʻo e lawe iā EM ma Indonesia. ʻO ka pinepine o ka kaʻana like ʻana ma ka pāpili kaiaulu, ka pae o ka ʻike kaiapuni, ke kūʻai ʻana i nā kumukūʻai, nā kumukūʻai mālama, ka wikiwiki nui, ka manawa hoʻouka uila, hiki ke loaʻa o nā ʻoihana kikowaena i ka hana, loaʻa ka mana o ka home ke hoʻohuli nui nei nā kulekele hoʻonāukiuki i ka manaʻo e lawe i nā kaʻa uila. Hōʻike pū ʻia hoʻi ka manawa kūpono no nā poʻe Indonesia e lawe i nā motika uila i 82.90%. ʻO ka hoʻomaopopo ʻana i ka lawe ʻia o nā motika uila ma Indonesia e pono ai ka mākaukau o ka hana a me nā kumukūʻai hiki ke ʻae ʻia e nā mea kūʻai. ʻO ka mea hope loa, hāʻawi nā hopena o kēia noiʻi i kekahi mau manaʻo no ke aupuni a me nā ʻoihana e hōʻeleu i ka lawe motika uila ma Indonesia.

OLELO HOAKAKA

ʻO ka ʻāpana hoʻokele waiwai ma Indonesia (halihali, hanauna uila, a me nā ʻohana) hoʻohana nui i nā wahie fossil. ʻO kekahi o nā hopena maikaʻi ʻole o ka hilinaʻi nui i nā wahie fossil ka hoʻonui ʻia o ka hoʻokaʻawale ʻana no nā kōkua wahie, nā pilikia e hoʻomau i ka ikehu, a me nā kiʻekiʻe o ka hoʻokuʻu ʻana o CO2. ʻO ka halihali kahi mahele nui e hāʻawi i nā kiʻekiʻe kiʻekiʻe o CO2 i ka lewa ma muli o nā hoʻohana he nui o nā kaʻa wahie fossil. Kuhi kēia noiʻi i nā motika no ka mea ʻo Indonesia, ma ke ʻano he ʻāina e ulu ana, ʻoi aku ka nui o nā motika ma mua o nā kaʻa. Ua hōʻea ka nui o nā mokokaikala ma Indonesia i 120,101,047 mau kikowaena i ka makahiki 2018 [1] a ua hiki aku nā kūʻai mokokaikala i nā 6,487,460 mau mīkini i ka makahiki 2019 [2]. Ke hoʻololi nei i ka ʻāpana halihali i nā kumu ikehu ʻē aʻe hiki ke hōʻemi i nā pae kiʻekiʻe CO2. ʻO ka hopena kūpono no kēia pilikia e hoʻokō i nā logistics ʻōmaʻomaʻo ma o ke komo ʻana o nā kaʻa uila ma Indonesia e like me nā kaʻa uila hybrid, plug-in hybrid uila kaa, a me nā uila uila uila [3]. Hiki i ka ʻenehana uila ʻenehana a me ka hana hou ʻana o ka ʻenehana uila ke hāʻawi i nā hopena kaʻa i pili i ka nohona, maikaʻi ka ikehu, a hoʻohaʻahaʻa i nā koina hana a me ka mālama ʻana [4]. Kūkākūkā nui ʻia nā kaʻa uila e nā ʻāina o ka honua. I ka ʻoihana kaʻa uila o ka honua, aia kahi ulu kūʻai nui no nā motika uila ʻelua huila i hōʻea i 58% a i ʻole 1.2 miliona mau kikowaena mai 2016 a 2017. ʻO kēia ulu kūʻai e hōʻike ana i kahi pane maikaʻi mai nā ʻāina o ka honua e pili ana i ka hoʻomohala ʻana o ka uila ʻenehana mokokaikala i kekahi lā, manaʻo nā mokokaikala uila e pani i nā kaʻa puhi fossil. ʻO ka mea noiʻi he uila uila uila (EM) i loko o ka New Design of Electric Motor (NDEM) a me ka uila uila uila i hoʻohuli ʻia (CEM). ʻO ka ʻano mua, ʻo ka New Design of Electric Motorcycle (NDEM), kahi kaʻa i hoʻolālā ʻia e ka ʻoihana e hoʻohana ana i ka ʻenehana uila no kāna mau hana. ʻO kekahi mau ʻāina ma ka honua e like me ʻAukekulelia, Kelemania, ʻEnelani, Palani, Iāpana, Taiwan, Kōlea Hema, a me Kina i hoʻohana mua i nā mokokaikala uila ma ke ʻano he huahana pani no nā kaʻa mokokaikala i hoʻoulu ʻia e ka fossil [5]. Hoʻokahi momoka o nā mokokaikala uila ʻo Zero mokokaikala e hana ana i nā mokokaikala uila uila [6]. PT. Ua hana ʻo Gesits Technologies Indo i nā motika uila ʻelua huila ma lalo o ka brand Gesits. ʻO ka lua o ka ʻano he CEM. ʻO ka mokokaikala uila i hoʻohuli ʻia he motika uila me ka ʻaila kahi i hoʻololi ʻia ka motika a me nā ʻenekini me nā pahu uila ʻo Lithium Ferro Phosphate (LFP) ma ke ʻano he ikehu. ʻOiai he nui nā ʻāina e hoʻohua i ka mokokaikala uila, ʻaʻohe mea i hana i ka kaʻa ma ka hoʻohana ʻana i nā ʻano hoʻohuli. Hiki ke hana i ka hoʻololi ʻana ma ke kaʻa uila ʻelua huila i hoʻohana ʻole ʻia e nā mea hoʻohana. ʻO Universitas Sebelas Maret kahi paionia i ka hana ʻana i ka CEM a hōʻoia ʻenehana hoʻi hiki i nā paila ʻo lithium-Ion ke hoʻololi i nā kumuwaiwai wahie fossil ma nā motika maʻamau. Hoʻohana ʻo CEM i ka ʻenehana LFP, ʻaʻole pahū kēia pailaka ke hiki mai kahi pōʻai pōkole. Ma waho aʻe o ia, he ola hoʻohana lōʻihi ka paʻa o LFP a hiki i ka 3000 mau pōʻai hoʻohana a ʻoi aku ka lōʻihi ma mua o nā paila EM o kēia manawa (e like me ka Battery Lithium-Ion a me LiPo Battery). Hiki iā CEM ke huakaʻi i 55 km / uku a loaʻa ka wikiwiki ʻoi loa i 70 km / hola [7]. Jodinesa, et al. [8] ua nānā i ka mahele o nā mākeke uila i hiki ke hoʻololi ʻia ma Surakarta, Indonesia a ua hopena ka poʻe o Surakarta i pane maikaʻi i ka CEM. Mai ka wehewehe ma luna, hiki ke ʻike ʻia he nui ka manawa kūpono no nā motika uila. Ua hoʻomohala ʻia kekahi mau noiʻi ʻana e pili ana i nā kūlana e pili ana i nā kaʻa uila a me nā pila, e like me ke kūlana pākahi Lithium Ion na Sutopo et al. [9], ke ʻano ʻōnaehana ʻōnaehana pakuhi e Rahmawatie et al. [10], a me nā kaʻa uila e hoʻouka ana i nā hae e Sutopo et al. [11]. ʻO ka lohi o ka lawe ʻana o nā kaʻa uila i Indonesia i hoʻonāukiuki i ke aupuni e hoʻokuʻu i kekahi mau kulekele no ka hoʻomohala ʻana i ka ʻoihana kaʻa a hoʻolālā e hoʻopaʻa i ka lawe ʻia o nā motika uila he 2.1 miliona a me nā kaʻa he 2,200 o nā kaʻa uila i 2025. Eia kekahi, ʻo ke aupuni e kia ana hoʻi iā Indonesia e hiki ke hana i 2,200 mau kaʻa uila a i ʻole nā ​​hybrid i ʻōlelo ʻia ma ka Rula Pelekikena o ka Repubalika o Indonesia No. 22 o 2017 e pili ana i ka National Energy General Plan. Ua noi ʻia kēia kānāwai e nā ʻāina like ʻole e like me Palani, ʻEnelani, Nolewai, a me India. Ua hoʻonohonoho ʻia ka Ministry of Energy and Mineral Resources kahi māka i hoʻomaka ʻia i ka makahiki 2040, pāpā ʻia ke kūʻai aku ʻana o nā Vehicle Combustion Engine Vehicles (ICEV) a noi ʻia ka lehulehu e hoʻohana i nā kaʻa uila. I ka 2019 ua hoʻopuka ke Aupuni o Indonesia i ka Pelekikena Pelekikena Helu 55 o ka 2019 e pili ana i ka wikiwiki o ka Polokalamu Kaʻa Uila Uila Uila no ka Alanui Alanui. ʻO kēia hana kahi hana e lanakila ai i nā pilikia ʻelua, ʻo ia hoʻi ka hoʻopau ʻana o nā mālama aila wahie a me ka haumia o ka ea. E pili ana i ka haumia ea, ua hana ʻo Indonesia e hōʻemi i ka 29% o ke kūpona ʻana o carbon dioxide e 2030 ma muli o ka hopena o ka Paris Climate Change Conference i mālama ʻia ma 2015. I ka makahiki 2018, ua komo wale nā ​​kaʻa uila ʻelua huila i 0.14% o ka pahuhopu o ke aupuni. 2025, ʻoiai no ka uila ʻehā i hōʻea i ka 45%. I Kēkēmapa 2017, aia ma kahi o 1,300 ka nui o nā kikowaena uila uila i loaʻa ma ka ʻāina holoʻokoʻa ma nā kūlanakauhale he 24, kahi i loaʻa ai ʻo 71% (924 refilling station) ma DKI Jakarta [13]. Ua ʻimi nā ʻāina he nui e pili ana i ka lawe ʻana o ka kaʻa uila, akā ma Indonesia, ʻaʻole i hana mua ʻia ka noiʻi ana o ka pae ʻāina. Nui a hewahewa nā ʻano noiʻi i loko o kekahi mau ʻāina i alakaʻi i ke aʻo ʻana no ka ʻae ʻia o nā ʻenehana hou ma o ka hoʻohana ʻana i nā ʻano hana e like me ka nui o ka laina regression e ʻike i ka manaʻo hoʻohana kaʻa uila ma Malaysia [14], Structural Equation Modeling (SEM) e ʻike i ka lawe hānai. o nā pale uila o nā kaʻa uila ma Tianjin, Kina [15], ka nānā ʻana i nā mea exploratory & ke ʻano hoʻohālikelike multivariate e ʻike ai i nā mea pale i waena o nā mea hoʻokele kaʻa uila ma United Kingdom [16], a me ka loiloi loiloi e ʻike i nā mea e hoʻopili ana i ka lawe ʻana o nā kaʻa uila i Pekina, Kina [17]. ʻO nā kumu o kēia noiʻi e hoʻomohala i kahi hoʻohālikelike no nā motika uila ma Indonesia, e ʻike i nā kumu e hoʻohuli i nā manaʻo o ka lawe ʻana i nā motika uila ma Indonesia, a e hoʻoholo i nā manawa kūpono no ka lawe ʻana o nā motika uila ma Indonesia. Hoʻohālike i nā mea nui e ʻike i nā kumu i hoʻohuli i ka manaʻo e lawe i nā motika uila ma Indonesia. Hiki ke hoʻohana ʻia kēia mau mea pili i ke ʻano he kūmole e hana i nā kulekele kūpono e hōʻeleu ai i ka lawe ʻana i nā motika uila. ʻO kēia mau mea nui kahi kiʻi o nā kūlana kūpono i makemake ʻia e nā mea hoʻohana uila uila hiki i Indonesia. ʻO kekahi mau lawelawe ma Indonesia e pili ana i ka hoʻokumu ʻana i nā kulekele e pili ana i nā kaʻa uila ʻo ia ke Kuhina o ʻOihana e pili ana i nā rula ʻauhau kaʻa e pili ana i kāna emissions e hana pololei me nā mea hana kaʻa uila, ke Kuhina o ka halihali nāna e holo i ka hoʻāʻo kūpono o nā kaʻa uila e e hoʻomoe ma ke ala nui e like me nā hoʻokolohua uila a pēlā aku, a me Ke Kuhina o Energy a me nā Mineral Resources i kūpono i ka hoʻolālā ʻana i nā kumukūʻai o ka Vehicle Charging Station i nā pono o nā kaʻa uila e hoʻokau nei i nā ʻoihana. Paipai pū ka hana hou ʻana i nā kaʻa uila i ka hānau ʻana o nā hui ʻoihana hou i ke kaulahao hoʻolako me nā technopreneurs a me nā hoʻomaka ʻana mai nā mea hoʻomohala, nā mea hoʻolako, nā mea hana, a me nā mea hāʻawi i nā huahana kaʻa uila / lawelawe a me kā lākou mea i loaʻa i ka mākeke [24]. Hiki i nā mea kālepa uila uila ke hoʻomohala i ka ʻenehana a me ke kūʻai aku ʻana ma ka noʻonoʻo ʻana i kēia mau mea nui i mea e kākoʻo ai i ka hoʻokō ʻana o nā motika uila ma kahi o nā motika maʻamau i Indonesia. Hoʻohana ʻia ka Oristinal logistic regression e loaʻa ai ka hana a me ka waiwai kūpono o ka manaʻo e lawe i nā motika uila ma Indonesia me ka hoʻohana ʻana i ka polokalamu SPSS 25. Logistic regression a logit regression kahi ala e hana i nā hiʻohiʻona wānana. ʻO ka loiloi loiloi i nā helu helu i hoʻohana ʻia e wānana i ka likelihood o kahi hanana i kū ʻia e ka hoʻohālikelike ʻana i ka ʻikepili i ka hana logistic curve logistic. ʻO kēia ala he hiʻohiʻona linear maʻamau no ka hoʻoponopono binomial [18]. Ua hoʻohana ʻia ka loiloi loiloi e wānana i ka ʻae o ka pūnaewele a me ka lawe ʻana i ke kelepona paʻalima [19], wānana i ka ʻae ʻia o ka ʻenehana ʻenehana voltaic i lawe ʻia ma Netherlands (20], wānana i ka ʻae o ka ʻenehana ʻōnaehana telemonitoring no ke olakino [21], a e loaʻa mai nā mea ʻenehana e hoʻopili i ka hoʻoholo e lawe i nā lawelawe kapua [22]. Utami et al. [23] nāna i hana i mua ka noiʻi ʻana e pili ana i ka ʻike mea kūʻai aku o nā kaʻa uila ma Surakarta, i ʻike ʻia ʻo ke kūʻai ʻana i nā kumukūʻai, nā hoʻohālikelike, nā hana kaʻa, a me ka mākaukau o nā hana nā mea pale nui loa no ka poʻe e lawe ana i nā kaʻa uila. METHOD ʻO ka ʻikepili i hōʻiliʻili ʻia i kēia noiʻi he ʻikepili mua i loaʻa ma o nā loiloi pūnaewele e ʻike i nā manawa kūpono a me nā mea e hoʻohuli i ka manaʻo e lawe i nā motika uila ma Indonesia. Nīnauele a Nūnū Ua hāʻawi ʻia ka noiʻi pūnaewele ma 1,223 i nā mea pane i loko o ʻewalu mau panalāʻau i Indonesia e ʻimi i nā mea e hoʻohuli i ka manaʻo e lawe i nā motika uila ma Indonesia. ʻO kēia mau panalāʻau i wae ʻia i ʻoi aku ma mua o 80% o nā kūʻai mokokaika ma Indonesia [2]: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra, a me Bali. Hōʻike ʻia nā mea i ʻimi ʻia i ka Papa 1. ʻO ka ʻike ākea e pili ana i nā motika uila i hāʻawi ʻia i ka hoʻomaka o ka nīnau e ka hoʻohana ʻana i ka wikiō e hōʻalo i nā kuhi hewa ʻole. Ua hoʻokaʻawale ʻia ka nīnau nīnau i ʻelima mau ʻāpana: ʻāpana kānana, ʻāpana sociodemographic, ʻāpana kālā, ʻenehana ʻenehana, a me ka ʻāpana pae macro. Ua hōʻike ʻia ka nīnau nīnau i kahi pālākiō Likert o 1 a 5, kahi a 1 no ka ʻae ʻole loa, 2 no ka ʻae ʻole, 3 no ka kānalua, 4 no ka ʻae, a 5 no ka ʻae nui. ʻO ka hoʻoholo ʻana i ka nui o ka nui o ka laʻana e pili ana i [25], i ʻōlelo ʻia e nānā ana nā nānā me ka nui o ka nui o ka lehulehu e pili ana i ka logistic regression e pono ai ka nui o ka laʻana o 500 e kiʻi i nā helu helu e hōʻike ana i nā palena. Hoʻohana ʻia ka laʻana a me nā ʻāpana sampling me nā kaulike i kēia noiʻi no ka mea he nui ka heluna kanaka o nā mea hoʻohana mokokaikala ma Indonesia. Ma waho aʻe, hoʻohana ʻia ka laʻana purposive e hoʻoholo i nā laʻana e pili ana i kekahi mau pae hoʻohālikelike [26]. Lawe ʻia nā loiloi pūnaewele ma o Facebook Ads. ʻO nā mea pane i kūpono he poʻe makahiki ≥ 17 mau makahiki, me kahi SIM C, ʻo ia kekahi o nā mea hoʻoholo e hoʻololi a kūʻai paha i kahi motika, a noho ʻia ma kekahi o nā panalāʻau i ka Papa 1. Theoretical Framework She et al. [15] lāua ʻo Habich-Sobiegalla et al. [28] i hoʻohana i nā papahana no ka hoʻokaʻina ʻōnaehana o nā kumu e hoʻokele a ālai paha i ka lawe ʻana o ka kaʻa uila e nā mea kūʻai. Hoʻololi mākou i kēia mau papa hana ma o ka hoʻololi ʻana ia ma muli o kā mākou kālailai ʻana i nā palapala uila mokoka uila e pili ana i ka lawe ʻana o nā mea kaʻa uila. Ua ʻike mākou iā ia i ka Papa 1. Papa Helu 1. Wehewehe ʻana a me nā kumuwaiwai o nā kumuhana a me nā hiʻona Factor Code Atrtibut Ref. SD1 Kulana kūlana male [27], [28] SD2 Makahiki SD3 ʻohana SD4 Hoʻopaʻa hope SD5 Noho Sociodemographic SD6 Maʻamau o ka ʻai ma ka SD7 Mahina loaʻa ma ka SD8 Helu o ka mana kaʻa mokokaikala SD9 ʻO ka pinepine o ka kaʻana like ʻana ma ka pāpaho kaiapili SD10 Ka nui o ka pūnaewele puni honua SD11 ʻIkeʻike ʻike pili kālā. FI1 Kūʻai kūʻai [29] FI2 Pūnaewele kūʻai [30] FI3 Kauoha hoʻoili [31] FI4 Nā kumukūʻai mālama [32] ʻOihana TE1 ʻenehana Mileage [33] ʻO TE2 Mana [33] ʻO TE3 manawa hoʻoiho [33] TE4 palekana [35] Loaʻa ka pae hoʻouka ML1 pae kiʻekiʻe ma nā wahi lehulehu [36] Loaʻa ke kikowaena ʻoihana ML2 ma ka hana [15] ML3 Kākoʻo i ke keʻena loaʻa ma ka home [37] Loaʻa nā wahi lawelawe ML4 [38] ML5 Kālā hoʻolālā hoʻoiho [15] ML6 Makahiki kulekele hōʻemi ʻauhau [15] ML7 Polokalamu hoʻēmi kumu kūʻai hoʻoliʻiliʻi [15] Manaʻo Adoption IP ʻO ka manaʻo e hoʻohana [15] Sociodemographic Factor Sociodemographic factor kahi mea pilikino e hoʻohuli i ka hana a kēlā me kēia i ka hoʻoholo ʻana. ʻO Eccarius et al. Ua ʻōlelo ʻia ma kā lākou laʻana hānai i ke ʻano o ka makahiki, ke kāne, ke kūlana male, ka hoʻonaʻauao, ka loaʻa kālā, ka hana, a me ke kaʻa ponoʻī nā mea nui e hoʻopili ana i ke kaʻa kaʻa uila. Hāʻawi ʻo HabichSoebigalla et al i nā mea kikowaena pūnaewele e like me ka nui o nā kaʻa mokokaikala, ka pinepine o ka kaʻana like ʻana ma ka pāpili kaiaulu, a me ka nui o ka pūnaewele pūnaewele e lilo i mau mea hoʻohuli i ka lawe kaʻa kaʻa uila [28]. ʻO Eccarius et al. [27] a me HabichSobiegalla ma. [28] noʻonoʻo pū kekahi i ka ʻike kaiapuni no nā kumu pilikino. ʻO ke kumu kūʻai kālā ke kumu kūʻai kumu kūʻai o ke kaʻa uila me ka ʻole o nā kōkua kūʻai. Sierzchula et al. [29] i ʻōlelo ʻo ke kumukūʻai kūʻai kiʻekiʻe o nā kaʻa uila i hoʻokumu ʻia e ka mana pākela kiʻekiʻe loa. ʻO ke kumukūʻai o ka pila ke kumu kūʻai o ke kūapo ʻana i ka pila inā pau ke ola o nā pila kahiko. Krause et al. noiʻi e pili ana ke kumukūʻai o nā pila i ka pale kālā no kekahi e lawe i kahi kaʻa uila [30]. ʻO ke kumu kūʻai ke kumu kūʻai o ka uila e hoʻokele i kahi motika uila i hoʻohālikelike ʻia i ke kumukūʻai o ka petrolina [31]. ʻO nā kumukūʻai mālama he kumukūʻai mālama mau no nā motika uila, ʻaʻole hoʻoponopono ma muli o ka ulia pōpilikia e pili ana i ka lawe kaʻa kaʻa uila [32]. ʻO ka ʻenehana ʻenehana Mileage hiki ke mamao loa ma hope o ka hoʻouku ʻia o ka uila uila uila. Zhang et al. Ua ʻōlelo ʻo [33] ka hana ʻana o ke kaʻa e pili ana i ka loiloi o nā mea kūʻai ma ke kaʻa uila me ka hiki i ka mileage, ka mana, ka manawa hoʻouka, ka palekana, a me ke ola o nā pila. ʻO ka mana ka wikiwiki nui o kahi motika uila. ʻO ka manawa kauoha ʻo ka manawa holoʻokoʻa e hoʻoiho piha i kahi motika uila. ʻO ka manaʻo palekana ke holo ʻana i ka motika uila e pili ana i ke kani (dB) nā kumu e hōʻike ʻia e Sovacool et al. [34] i mau kumu e hoʻopili i ka ʻike o ka mea kūʻai ma ka kaʻa uila. Graham-Rowe et al. [35] i ʻōlelo ʻia ua manaʻo ʻia e hoʻohaʻahaʻa ʻia ke ola o ka pila. ʻO nā hana pono o ka pae Macro o ka hoʻouka ʻana i kahi kū i kahi mea hiki ʻole ke hōʻalo no ka mea lawe uila uila uila. ʻO ka loaʻa ʻana o ka loaʻa kālā ma nā wahi lehulehu i manaʻo ʻia he mea nui e kākoʻo i ke kaʻa kaʻa uila [36]. ʻO ka hoʻouka ʻana i ka loaʻa ma ka hana [15] a me ka hoʻouka ʻana i ka loaʻa ma ka home [37] pono ʻia e nā mea kūʻai aku e hoʻokō i ka pākiko o kā lākou kaʻa. Krupa et al. Ua ʻōlelo ʻo [38] ka loaʻa ʻana o nā wahi lawelawe no ka mālama mau ʻana a me ka hōʻino ʻana e hoʻopili ana i ke kaʻa uila. She et al. Ua manaʻo ʻo [15] i kekahi mau manaʻo hoʻoikaika lehulehu i makemake nui ʻia e nā mea kūʻai mai ma Tianjin e like me ka hāʻawi ʻana i nā kōkua no ke kūʻai ʻana i nā motika uila, hoʻēmi kālā ʻauhau makahiki no nā mokokaikala uila, a me ka hoʻopiʻi ʻana i ke kulekele hoʻemi uku ke pono nā mea kūʻai aku e hoʻoili uila uila ma nā wahi lehulehu [15]. ʻO Ordinal Logistic Regression ʻO ka Oristinal logistic regression kekahi o nā ʻano helu helu e wehewehe ai i ka pilina ma waena o kahi mea hilinaʻi hilinaʻi me hoʻokahi a ʻoi paha nā hoʻololi kūʻokoʻa, kahi o ka mea i hilinaʻi nui ʻia ma mua o 2 mau mahele a me ka pālākiō ana ka pae a i ʻole ka ordinal [39]. Hoʻohālikelike ka hoʻohālikelike 1 i ka registion logistic ordinal a me ka Equation 2 e hōʻike nei i ka hana g (x) ma ke kaulike logit. eegxgx P x () () 1 () + = (1)  = = + mkjk Xik gx 1 0 ()   (2) Nā hopena a me ke kūkākūkā Ua hāʻawi ʻia ka nīnau nīnau ma ka pūnaewele ma Malaki - ʻApelila, 2020, ma o Facebook Ads uku ʻia. ma ke kau ʻana i kahi ʻāpana: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra, a me Bali i hōʻea i nā mea hoʻohana 21,628. ʻO ka nui o nā pane i hiki mai 1,443 pane, akā 1,223 wale nō pane i kūpono i ka hana ʻikepili. Hōʻike ka Pakuhi 2 i ka heluna kanaka o nā mea pane. Hōʻike Heluhelu Pakuhi 3 hōʻike helu helu wehewehe no nā loli nui. Hoʻonohonoho ka uku hoʻemi uku, hōʻemi ʻauhau makahiki, a me nā uku kumukūʻai kūʻai i ʻoi aku ka kiʻekiʻe ma waena o nā kumu ʻē aʻe. Hōʻike kēia i ka manaʻo o ka hapa nui o nā mea pane aia aia kahi kulekele a ke aupuni i hāʻawi nui ai e hiki ke paipai iā lākou e lawe i nā motika uila. Ma nā kumu kālā, kūʻai aku ke kumu kūʻai a me nā kumukūʻai o nā pila ma lalo o ka awelika waena o nā kumu ʻē aʻe. Hōʻike kēia i ke kumukūʻai kūʻai o kahi motika uila a me nā kumukūʻai o nā uila ʻaʻole kūpono me ka waihona kālā o ka hapa nui o nā mea pane. ʻO ka hapa nui o nā mea pane e pili ana i ke kumukūʻai o ka motika uila ʻoi loa ke kumukūʻai ke hoʻohālikelike ʻia i ke kumukūʻai o kahi motika maʻamau. ʻO ke kumukūʻai pani o nā puʻukū i kēlā me kēia makahiki ʻekolu a hiki i ka IDR 5,000,000 he kumu kūʻai nui loa hoʻi ia no ka hapa nui o nā mea pane i mea e lilo ai ke kumukūʻai kūʻai a me nā kumukūʻai o nā pila i mea pale no ka poʻe Indonesia e lawe i nā motika uila. ʻO ke ola o ka pila, ka mana, ka manawa hoʻoiho i loaʻa nā helu helu haʻahaʻa ma nā helu helu wehewehe akā ʻoi aku ka nui o nā helu helu no kēia mau mea ʻekolu ma mua o 4. ʻO ka manawa hoʻouka i lōʻihi ai ʻekolu mau hola ua lōʻihi loa ia no ka hapa nui o nā mea pane. ʻO ka wikiwiki o ka motika uila he 70 km / h a ʻaʻole i hoʻokō ʻia ke ola o nā uila 3-makahiki i nā pono o nā mea pane. Hōʻike kēia i ka hapa nui o nā mea pane e noʻonoʻo i nā motika uila hana ʻaʻole i hoʻokō ʻia kā lākou kūlana. ʻAʻole i hilinaʻi piha nā mea pane Altough i ka hana o nā motika uila, hiki i EM ke hoʻokō i ko lākou mau pono neʻe i kēlā me kēia lā. Ua hāʻawi ka nui o nā mea pane i ka helu hou aʻe i ka loaʻa ʻana o ke koina i ko lākou mau home a me nā keʻena ma mua o nā wahi lehulehu. Eia nō naʻe, kahi pale i loaʻa pinepine ʻia ka mana uila o ka home ma lalo o 1300 VA, e manaʻo nui nei i nā mea pane e hiki i ke aupuni ke kōkua i ka hoʻolako ʻana i nā pono hana i ka home. ʻOi aku ka makemake o ka loaʻa ʻana o ke koina ma ke keʻena ma mua o nā wahi lehulehu no ka mea ʻo ka neʻe ʻana o nā mea pane i kēlā me kēia lā e pili ana i nā hale a me nā keʻena. Hōʻike ka papa 4 i nā pane o nā mea pane i ka lawe ʻia o nā motika uila. Hōʻike ia i ka makemake o 45,626% o nā mea pane i ka makemake e hoʻohana i kahi motika uila. Hōʻike kēia hopena i kahi wā e hiki mai ana keu no ka mākeke kaʻa uila uila. Hōʻike pū ka papa 4 ʻaʻole kokoke i ka 55% o nā mea pane i ka makemake e hoʻohana i kahi motika uila. ʻO nā hopena hoihoi mai kēia mau helu helu wehewehe e hōʻike ana ʻoiai ʻo ka hoihoi no ka hoʻohana ʻana i nā motika uila e pono ai ka stimulate, maikaʻi ka ʻae o ka lehulehu i nā motika uila. ʻO kekahi kumu e kū mai paha ka manaʻo o nā mea pane e kali a ʻike i ka lawe ʻia o kahi motika uila a i ʻole hoʻohana paha kekahi i ka motika uila a ʻaʻole paha. ʻO ka ʻikepili ʻo Ordinal Logistic Regression data a kālailai e hoʻoholo i ka manaʻo lawe keiki o nā motika uila ma Indonesia e hoʻohana ana i ka reginal logistic reginal. ʻO ka loli hilinaʻi i kēia noiʻi ka makemake e hoʻohana i kahi motika uila (1: makemake ʻole, 2: makemake ʻole, 3: kānalua, 4: makemake, 5: makemake nui). Ua koho ʻia ka hoʻōla logistic Ordinal ma ke ʻano he ʻano hana i kēia noiʻi no ka mea hoʻohana ka loli hilinaʻi i ka pālāki ordinal. Ua hana ʻia ka ʻikepili me ka hoʻohana ʻana i ka polokalamu SPSS 25 me kahi pae hilinaʻi o 95%. Ua lawe ʻia nā hoʻokolohua Multicollinearity e helu i ka Variance Inflation Factors (VIF) me ka awelika VIF o 1.15- 3.693, ʻo ia hoʻi ʻaʻohe multicollinearity i ke kkohu. ʻO ke kuhiakau i hoʻohana ʻia i ka reginal logistic regression e hōʻike ʻia i ka Papa 5. Hōʻike ka Papa 6 i nā hopena hoʻokolohua hapa e lilo i kumu no ka hōʻole a ʻae ʻana paha i ke kuhiakau no ka reginal logistic ordinal. Papa 2. Nā Heluhelu a nā Pane Hoʻohuli Helu Helu Freq% Heluna Huahana Freq% Domicile West Java 345 28.2% Ka Haumana Haumana 175 14.3% Java Hikina 162 13.2% Nā kauā kīwila 88 7.2% Jakarta 192 15.7% Nā limahana pilikino 415 33.9% Central Java 242 19.8% Mea kālepa. 380 31.1% ʻĀkau Sumatera 74 6.1% ʻē aʻe 165 13.5% Yogyakarta 61 5.0% Sulawesi Hema 36 2.9% Makahiki 17-30 655 53.6% Bali 34 2.8% 31-45 486 39.7% Komohana Sumatera 26 2.1% 46-60 79 6.5% Hema Sumatera 51 4.2%> 60 3 0.2% Kūlana male Single 370 30.3% Papa Haʻawina Hope SMP / SMA / SMK 701 57.3% Mare 844 69.0% Diploma 127 10.4% ʻē aʻe 9 0.7% Kēkelē 316 25.8% Kāne kāne 630 51.5% Kumu 68 5.6 % Wahine 593 48.5% Doctoral 11 0.9% Loaʻa loaʻa ma ka mahina 0 154 12.6% Maʻamau o ka malama <IDR 2,000,000 432 35.3% <IDR 2,000,000 226 18.5% IDR2,000,000-5-599,999 640 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 DR 20,000,000 23 1,9% Papa 3. Hōʻike Heluhelu no ke kālā, ʻenehana, a me ka pae Macro pae lākiō kūlana lākiō awelika averika ML7 (hoʻouku kala kālā.) 4.4563 1 ML3 (CS ma ka home) 4.1554 9 ML6 (pā ʻauhau makahiki. ) 4.4301 2 ML2 (CS ma nā wahi hana) 4.1055 10 ML5 (hoʻoulu manaʻo kūʻai) 4.4146 3 ML1 (CS ma nā wahi lehulehu) 4.0965 11 TE4 (palekana) 4.3181 4 TE5 (ola uila) 4.0924 12 FI3 (hoʻoiho kālā) 4.2518 5 TE2 (mana ) 4.0597 13 TE1 (hiki ka mileage) 4.2396 6 TE3 (manawa hoʻouka) 4.0303 14 ML4 (wahi lawelawe) 4.2142 7 FI1 (kumu kūʻai) 3.8814 15 FI4 (kumukūʻai mālama) 4.1980 8 FI2 (kumu kūʻai uila) 3.5045 16 Papa 4. Helu wehewehe. no ka Hoʻoʻopā ʻAno 1: makemake ʻole 2: makemake ʻole 3: kānalua 4: makemake 5 makemake e hoʻohana i ka uila uila 0.327% 2.044% 15.863% 36.141% 45.626% Hōʻike nā mea sociodemographic i nā hopena i ka pinepine o ka kaʻana like ʻana ma pāʻoihana kaiapili (SD9) a me ka pae o ka hopohopo hopohopo (SD11) he hopena koʻikoʻi i ka manaʻo o nā kaʻa uila ma Indonesia. ʻO nā waiwai nui no ka pae hoʻohālikelike o ke kūlana male 0.622 no hoʻokahi a 0.801 no ka mea male. ʻAʻole kākoʻo kēlā mau waiwai Hypothesis 1. ʻAʻole hoʻohuli ka kūlana male i ka manaʻo e lawe i kahi motika uila no ka mea ʻoi aku ka waiwai nui ma mua o 0.05. ʻO ka waiwai nui no ka makahiki 0.147 i ʻole e hoʻohuli ka makahiki i ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ke kumukūʻai o ke kuhi no ka makahiki o -0.168 Kuhiakau 2. ʻO ka hōʻailona maikaʻi ʻole ke kiʻekiʻe o ka makahiki, ʻo ka haʻahaʻa ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai koʻikoʻi no ka loli qualitative, ke kāne, (0.385) ʻaʻole kākoʻo i ke kuhiakau 3. ʻAʻole pili ka wahine i ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ke kumu waiwai nui no ka pae hope loa o ke aʻo (0.603) i ke Kuhiakau 4. No laila, ʻaʻole ka hopena o ka ʻike i ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai o ke kuhi no ka pae aʻo hope loa o 0.036 ʻo ia hoʻi kahi hōʻailona maikaʻi ke kiʻekiʻe o ka pae o ke aʻo kiʻekiʻe ke kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai nui no ka hoʻololi qualitative o ka hana ʻo 0.487 no nā haumāna, 0.999 no nā kauā kīwila, 0.600 no nā limahana pilikino, a me 0.480 no nā mea kālepa ʻaʻole kākoʻo i ke Kuhiakau 5. ʻAʻole hoʻohuli ka hana i ka manaʻo e lawe i kahi motika uila. UTAMI ET AL. / MOOLELO NO NA HANA AUPUNI MA NA HANA - VOL. 19 NO. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 75 Tabel 5. Hypothesis Hypothesis Socio- H1: he hopena maikaʻi ko ke kūlana male ma ka manaʻo o ka lawe ʻana i kahi motika uila. Demo- H2: he hopena maikaʻi ko ka makahiki ma ka manaʻo o ka lawe ʻana i kahi motika uila. kiʻi H3: he hopena koʻikoʻi ka hopena o ka wahine ma ka manaʻo o ka lawe ʻana i kahi motika uila. H4: he hopena koʻikoʻi ka hopena o ka pae hope loa ma ka manaʻo o ka lawe ʻana i kahi motika uila. H5: he hopena koʻikoʻi ka hana ma ka manaʻo o ka lawe ʻana i kahi motika uila. H6: he hopena koʻikoʻi maikaʻi ka pae o ka mahina i ka manaʻo o ka lawe ʻana i kahi motika uila. H7: he hopena koʻikoʻi ka hopena o ka loaʻa kālā o ka mahina ma ka manaʻo o ka lawe ʻana i kahi motika uila. H8: he hopena koʻikoʻi maikaʻi ka helu o nā kaʻa mokokaikala i ka manaʻo o ka lawe ʻana i kahi motika uila. H9: ka hopena pinepine o ka kaʻana ʻana ma ka pāpili kaiaulu i ka hopena koʻikoʻi ma ka manaʻo o ka lawe ʻana i kahi motika uila. H10: nui ka hopena o ka pūnaewele ʻoihana pūnaewele i ka manaʻo o ka lawe ʻana i kahi motika uila. H11: he hopena koʻikoʻi ka hopena o ke kaiapuni i ka manaʻo e lawe i kahi motika uila. Kālā H12: he hopena koʻikoʻi ka hopena kūʻai ma ka manaʻo o ka lawe ʻana i kahi motika uila. H13: he hopena koʻikoʻi ka hopena koina o ka pila ma ka manaʻo o ka lawe ʻana i kahi motika uila. H14: he hopena koʻikoʻi ka hopena o ke koina i ka manaʻo o ka lawe ʻana i kahi motika uila. H15: he hopena koʻikoʻi ka hopena o nā kumukūʻai mālama i ka manaʻo o ka lawe ʻana i kahi motika uila. H16: ka hopena mileage i ka hopena koʻikoʻi ma ka manaʻo o ka lawe ʻana i kahi motika uila. H17: he hopena koʻikoʻi ka mana ma ka manaʻo o ka lawe ʻana i kahi motika uila. Techno- H18: he hopena koʻikoʻi ka manawa hoʻouka i ka manaʻo o ka lawe ʻana i kahi motika uila. H19 kūpono: palekana ka hopena maikaʻi ma ka manaʻo o ka lawe ʻana i kahi motika uila. H20: he hopena koʻikoʻi ka hopena o ke ola uila i ka manaʻo o ka lawe ʻana i kahi motika uila. H21: loaʻa ka loaʻa ʻana o ke kikowaena pūnaewele i nā wahi lehulehu i ka hopena maikaʻi ma ka manaʻo o ka lawe ʻana i kahi motika uila. H22: loaʻa ka loaʻa ʻana o ke kikowaena uila i ka hana i ka hopena koʻikoʻi ma ka manaʻo o ka lawe ʻana i kahi motika uila. Macrolevel H23: loaʻa ka hopena o ke kikowaena pūnaewele i ka home i kahi hopena maikaʻi i ka manaʻo o ka lawe ʻana i kahi motika uila. H24: loaʻa i nā wahi lawelawe kahi hopena maikaʻi maikaʻi ma ka manaʻo o ka lawe ʻana i kahi motika uila. H25: he hopena koʻikoʻi ka maikaʻi no ke kūʻai ʻana i kahi kulekele hoʻonāukiuki i ka manaʻo e lawe i kahi motika uila. H26: he hopena koʻikoʻi koʻikoʻi ka kulekele hoʻemi ʻauhau makahiki i ka manaʻo o ka lawe ʻana i kahi motika uila. H27: he hopena koʻikoʻi maikaʻi ka hoʻopiʻi ʻana i ke kulekele hoʻēmi kumu kūʻai i ka manaʻo o ka lawe ʻana i kahi motika uila. Pakuhi 6. Logistic Regression Partial Test Nā hopena Var Value Sig Var Value Sig SD1: single 0.349 0.622 TE1 0.146 0.069 SD1: male 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: kāne 0.117 0.385 TE5 0,068 0.765 SD3: wahine 0 ML1 -0.127 0.022 * SD5: nā haumāna -0.195 0.487 ML2 0.309 0.000 * SD5: civ. lawelawe 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: others 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 SD9 0.111 0.04 0.210 0.161 TE2 0.167 0.962 SD9 0.111 0.04 0.2 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 * ML4 0.134 0.672 * pae hilinaʻi ʻO ke kumu waiwai nui no ka pae o ka ʻai o ka malama (0.069) ʻaʻole ia i kākoʻo ke kuhiakau 6, ʻaʻole ka hopena o ka pae o ka mahina i ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai koho no ka pae ʻai o 0.227 o ka mahina, kahi hōʻailona maikaʻi ke kiʻekiʻe o ke kiʻekiʻe o nā lilo o ka mahina ke kiʻekiʻe e manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ka pae loaʻa kālā o ka mahina (0.726) Hypothesis 7, ʻaʻole hoʻohuli ka pae loaʻa kālā i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no ka pae loaʻa o ka mahina he 0,032, hōʻailona maikaʻi ke ʻano o ke kiʻekiʻe o ka loaʻa kālā o ka mahina ke kiʻekiʻe e manaʻo e lawe i kahi kaʻa uila. ʻAʻole kākoʻo ka waiwai nui no ka nui o nā kaʻa mokokaikala (0.161) i ke kuhiakau 8, ʻaʻole nui ka mana o ka motika i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no ka pae o ka noho kaʻa mokokaikala ʻo 0.180, ka hōʻailona maikaʻi ʻo ia ka nui o nā motika i loaʻa, ʻo ka kiʻekiʻe ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai nui no ke alapine o ka kaʻana like ʻana ma ka pāpili kaiaulu (0.013) kākoʻo Kākoʻo 9, ke alapine o ke kaʻana like ʻana ma ka pāpaho kaila i ka hopena koʻikoʻi i ka manaʻo o ka lawe ʻana i kahi kaʻa uila no ka mea ʻo ka waiwai nui ma lalo o 0.05. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 NO. 1 (2020) 70-81 76 Utami et al. DOI: 10.25077 / josi.v19.n1.p70-81.2020 ʻO ke kumu kūʻai o ke kuhi no ka kaʻana like ʻana ma ka pāpili kaiapili ʻo 0.111, ʻo ka hōʻailona maikaʻi ke kiʻekiʻe o ke alapine o ka kaʻana like ʻana i kekahi ma ka pāpili kaila, ʻo ke kiʻekiʻe ka manawa o ka lawe ʻana i ka uila. mokokaikala. Kākoʻo ka waiwai nui no ka nui o ka pūnaewele pūnaewele (0.765) i ke Kuhiakau 10, ka nui o ka hiki ʻana o ka pūnaewele kaiaulu ʻaʻole e hoʻohuli i ka manaʻo o ka lawe kaʻa mokokaikala. ʻO ka waiwai o ka loiloi no ka helu o ka poʻe i hōʻea i ka pūnaewele kaiaulu ʻo 0.016, hōʻailona maikaʻi ke kiʻekiʻe o ka nui o nā pūnaewele kaiapili ke kiʻekiʻe aʻe ka manaʻo e lawe i kahi motika uila. Kākoʻo ka waiwai nui no ka pae o ka ʻike kaiapuni (0.022) i ka Hypothesis 11, he hopena koʻikoʻi ka pae o ke kaiapuni i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no ka pae o ka ʻike kaiapuni ʻo 0.226, ka hōʻailona maikaʻi ʻo ia ke kiʻekiʻe o ka pae o ka hopohopo e pili ana i ke kaiapuni i loaʻa i kahi kanaka, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻO nā hopena o ka loiloi loiloi logistic no nā loli FI1 a i FI4 i pili i nā kumu kālā e hōʻike ana i nā hopena i loaʻa i ke kumukūʻai kūʻai (FI1) a me nā kumukūʻai mālama (FI4) ka hopena koʻikoʻi i ka manaʻo o nā motika uila ma Indonesia. ʻO ke kumukūʻai koʻikoʻi no ke kumukūʻai kūʻai (0.00) kākoʻo i ke Kuhiakau 12, he hopena koʻikoʻi ka kumu kūʻai i ka manaʻo o ka lawe ʻana i kahi motika uila.ʻO ke kumu kūʻai o ke kumukūʻai no 0.348 ke kumu kūʻai, ʻo ka hōʻailona maikaʻi ke kumu o ke kūpono o ke kumukūʻai kūʻai no kahi motika uila no kekahi, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ke kumukūʻai koʻikoʻi no ke kumukūʻai o nā pila (0.355) i ke kuhiakau 13, ʻaʻole ka hopena o ka uku o ka pila i ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ka uku ʻana i nā koina (0.109) i ke Kuhiakau 14, ʻaʻohe hopena o ke kumu kūʻai no ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no ke kumu kūʻai no 0.136, ʻo ka hōʻailona maikaʻi ke kumu o ke kumukūʻai o ka hoʻouku ʻana i kahi motika uila no kekahi, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no nā koina mālama (0.017) i ke kuhiakau 15, he hopena koʻikoʻi ko nā koina mālama i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no nā koina mālama he 0.193, hōʻailona maikaʻi ke ʻano o ke kumukūʻai kūpono o ka mālama uila uila no kekahi, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻO nā hopena o ka loiloi loiloi logistic no nā ʻano TE1 ma o TE5 e pili ana i nā ʻenehana e hōʻike ana i nā hopena i loaʻa i ka manawa hoʻouka uila (TE3) i ka hopena o ka manaʻo lawe keiki o nā motika uila ma Indonesia. ʻAʻole kākoʻo ka waiwai nui no ka hiki i ka mileage (0.107) Hypothesis 16, ʻaʻohe hopena koʻikoʻi o ka mileage i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no kahi mile mile ʻoi loa ʻo 0.146, hōʻailona maikaʻi ke ʻano o ka pono kūpono o ka mīkini mile uila no kekahi, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ka mana kūʻokoʻa kūʻokoʻa a i ʻole ka wikiwiki nui (0.052) i ke kuhiakau 17, ʻaʻole ka hopena o ka wikiwiki i hoʻohuli i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ka esimate no ka wikiwiki a i ʻole ka wikiwiki ʻoi loa ka 0.167, hōʻailona maikaʻi ke ʻano o ka ʻoi aku o ka wikiwiki o ka motika uila no kahi kanaka, ʻoi aku ka kiʻekiʻe i ka manaʻo e lawe i kahi motika uila. Kākoʻo ka waiwai nui no ka manawa hoʻouka kālā (0.004) i ka Hypothesis 18, he hopena koʻikoʻi ka manawa hoʻouka i ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai i manaʻo ʻia no ka hoʻoiho ʻana i ka manawa ʻo 0.240, ka hōʻailona maikaʻi ʻo ia ka nui o ka wikiwiki o ka motika uila no kekahi, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ka palekana (0.962) i ke Kuhiakau 19, ʻaʻole ka hopena o ka palekana i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no ka palekana he -0.005, hōʻailona maikaʻi ʻole ʻo ia ka manaʻo o ka mea i ʻoi aku ka paʻa o ka uila me ka uila, ʻo ka haʻahaʻa ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ke ola o ka pila (0.424) i ke Kuhiakau 20, ʻaʻohe hopena o ke ola o ka pila i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ka loiloi no ke ola o ka pila o 0.068, hōʻailona maikaʻi ke ʻano o ke kūpono o ke ola o ka uila uila uila, ʻoi aku ka kiʻekiʻe i ka manaʻo e lawe i kahi motika uila. Nā hualoaʻa o ka loiloi logistic regression no nā loli ML1 a i ML7 e pili ana i nā mea kiʻekiʻe kiʻekiʻe e hōʻike ana i nā hopena e hōʻike wale ana i ka loaʻa ma ka wahi hana (ML2), ke kiʻi ʻana i ka loaʻa ma ka hale noho (ML3), a me ka hoʻopiʻi ʻana i ke kulekele hoʻemi uku (ML7). he hopena koʻikoʻi ia i ka manaʻo hānai o nā motika uila ma Indonesia. ʻAʻole kākoʻo ka waiwai nui no ka loaʻa ʻana o ka uku i nā wahi lehulehu (0.254) i ke Hypothesis 21, ʻaʻole e hoʻohuli i ka loaʻa ʻana i nā wahi lehulehu i ka manaʻo e lawe i ka motika uila. Kākoʻo ka waiwai nui no ka loaʻa ʻana o ke koina ma kahi hana (0,007) Hypothesis 22, he hopena koʻikoʻi ka hoʻouka ʻana i ka loaʻa ma kahi hana i ka manaʻo e lawe i kahi motika uila. ʻO ke kumu waiwai nui no ka loaʻa ʻana o ke koina ma kahi home (0.009) Kākoʻo iā Hypothesis 22, loaʻa ka hoʻouka ʻana ma ka home he hopena koʻikoʻi i ka manaʻo o ka lawe ʻana i kahi motika. ʻAʻole kākoʻo ka waiwai nui no ka loaʻa o nā wahi lawelawe (0.181) i ke Kuhiakau 24, ʻaʻohe hopena o ka loaʻa o nā wahi lawelawe i ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai koʻikoʻi no ke kulekele hoʻonāukiuki kūʻai (0.017) kākoʻo i ke Kuhiakau 25, he hopena koʻikoʻi ka kulekele hoʻonāukiuki i ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ke kulekele uku hoʻēmi makahiki (0.672) i ke Kuhiakau 26, ʻaʻohe hopena koʻikoʻi o ke kulekele hoʻonāukiuki ʻauhau makahiki i ka manaʻo o ka lawe ʻana i kahi motika uila. Kākoʻo ke kumukūʻai nui no ke kulekele hoʻēmi kumu kūʻai hoʻoemi (0.00) i ke Kuhiakau 27, he hopena koʻikoʻi ka kulekele hoʻonāukiuki hoʻemi kumu kūʻai i ka manaʻo e lawe i kahi motika uila. Wahi a ka hopena mai ka pae kiʻekiʻe-macro, hiki ke ʻike ʻia ke lawe uila uila inā hoʻokau ʻia ke kahua i ka wahi hana, ke keʻena hoʻokau i ka hale noho, a mākaukau ka hoʻopiʻi ʻana i nā kulekele uku hoʻēmi e acces e nā mea kūʻai aku. Ma ke ʻano holoʻokoʻa, ke alapine o ka kaʻana like ʻana ma ka pāpili kaiaulu, ke kiʻekiʻe o ka ʻike kaiapuni, ke kūʻai ʻana i nā kumukūʻai, nā kumukūʻai mālama, ka wikiwiki ʻoi loa o nā mokokaikala uila, ka manawa hoʻouka uila UTAMI ET AL. / MOOLELO NO NA HANA AUPUNI MA NA HANA - VOL. 19 NO. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 77 kūʻai i nā kulekele hoʻonāukiuki, a me ka hoʻopiʻi ʻana i nā kulekele hoʻonāukiuki hōʻemi e hoʻohuli nui nei i ka manaʻo e lawe i nā kaʻa uila. Ke Ana Hoʻohālikelike a me ka Hana Mana Pono Kaulike 3 kahi hoʻohālikelike logit no ke koho o ka pane "makemake ʻole" e lawe i kahi motika uila.  =  = + 27 1 01 (1 |) kg Y Xn   k Xik (3) Hoʻohālikelike ka helu 4 i kahi koho o ka pane "makemake ʻole" e lawe i kahi motika uila.  =  = + 27 1 02 (2 |) kg Y Xn   k Xik (4) ʻO ka hoʻohālikelike 5 kahi hoʻohālikelike logit no ke koho o ka pane "kānalua" e lawe i kahi motika uila.  =  = + 27 1 03 (3 |) kg Y Xn   k Xik (5) Hoʻohālikelike ka helu 6 i kahi koho logit "makemake" e lawe i kahi motika uila.  =  = + 27 1 04 (4 |) kg Y Xn   k Xik (6) Nā hana kūpono o ka lawe ʻana i nā motika uila i hōʻike ʻia i ka Kaulike 7 a i ke Kaulike 11. ʻO ka hoʻohālikelike 7 ka hana probablility no ke koho ʻana i ka pane. makemake ʻole ”e lawe i ke kaʻa uila. eenng YX g YXP Xn PY Xn (1 |) (1 |) 1 1 () (1 |)   + = =  (7) ʻO ke kaulike 8 ka hana probablility no ke koho ʻana i ka pane "makemake ʻole" e hoʻohana i kahi kaʻa uila. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (1 |) (1 |) (2 |) (2 |) 2 1 1 (2 |) (1 |) () (2 |)     + - + = =  -  = = (8) ʻO ka hoʻohālikelike 9 ka hana probablility no ke koho ʻana i ka pane "kānalua" e lawe i kahi motika uila. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (2 |) (2 |) (3 |) (3 |) 3 1 1 (3 |) (2 |) () (3 |)     + - + = =  -  = = (9) ʻO ke kaulike 10 ka hana probablility no ke koho ʻana i ka pane "makemake" e lawe i kahi motika uila. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (3 |) (3 |) (4 |) (4 |) 4 1 1 (4 |) (3 |) () (4 |)     + - + = =  -  = = (10) ʻO ke kaulike 11 ka hana probablility no ke koho ʻana i ka pane "makemake nui" e lawe i kahi motika uila. eenng YX g YX nnn PYXPXPYX (4 |) (4 |) 5 1 1 1 (4 |) () (5 |)   + = - = -  = = (11) Manaʻo Hoʻohui Hoʻohālikelike noi ʻia i kahi laʻana o ka pane a nā mea pane. Hōʻike ka Pakuhi 8 i nā ʻano a me nā pane o ka laʻana. No laila ke kūpono e pane i kēlā me kēia kaha i ka loli hilinaʻi e helu ʻia ma ka Equation 7 - 11. ʻO kahi laʻana o nā mea pane i loaʻa nā pane e like me ka hōʻike ʻana ma ka Papa 7 he kaha 0 0,0013 no ka makemake ʻole e hoʻohana i nā motika uila, kahi kūpono o 0.0114 no ka makemake ʻole e hoʻohana i ka motika uila, kahi kūpono o 0.1788 no ka kānalua e hoʻohana i ka motika uila, kahi kūpono o 0.563 e makemake e hoʻohana i kahi motika uila, a me kahi likelike o 0.2455 e makemake ikaika e hoʻohana i kahi motika uila. Hoʻohālikelike ʻia ka likelika o ka lawe uila mokokaikala no 1,223 mau respondents a ʻo ka awelika o ka likelika no nā pane i ka makemake ʻole e hoʻohana i ka mokoka uila ʻo ia ka 0.0031, makemake ʻole e hoʻohana i ka uila uila uila ʻo 0,0198, kānalua e hoʻohana i ka uila uila ʻo 0.1482, makemake e hoʻohana i ʻO ka uila uila uila he 0.3410, a makemake nui e hoʻohana i ka uila uila 0.4880. Inā hōʻuluʻulu ʻia ka likelika no ka makemake a me ka mākaukau loa, hiki i ka poʻe Indonesia e lawe i nā motika uila i 82.90%. Nā manaʻo paipai no nā mea hana ʻoihana a me nā kulekele I ka hōʻuluʻulu loiloi logistic regression, ʻo ke alapine o ke kaʻana like ʻana ma ka pāpili kaiaulu kahi mea nui e hoʻopili ana i ka manaʻo o ka lawe ʻana i kahi motika uila. ʻO ka mea nui o nā pāpili kaiaulu ma ke ʻano he kahua no ka lehulehu e kiʻi i ka ʻike e pili ana i nā motika uila e hoʻohuli i ka makemake e lawe i nā motika uila. Hiki i ke aupuni a me nā mea kālepa ke hoʻāʻo e hoʻohana i kēia kumuwaiwai, no ka laʻana, hiki i nā mea kālepa ke hana i nā hoʻolaha ma o nā bonus a i ʻole mahalo i nā mea kūʻai mai i kūʻai i nā motika uila a kaʻana like i nā mea maikaʻi e pili ana i nā motika uila ma kā lākou pāpili kaiaulu. Hoʻonāuki paha kēia ala i nā poʻe ʻē aʻe e hoʻohana hou i kahi motika uila. Hiki i ke aupuni ke hoʻolauna a hoʻolauna i nā motika uila i ka lehulehu ma o ka pāpili kaiaulu e hoʻonāukiuki i ka neʻe ʻana o ka lehulehu mai ka motika maʻamau i ka motika uila. Hōʻike kēia noiʻi i ka nui o ka hopena o nā kumu pae kiʻekiʻe i ka lawe ʻia o nā motika uila ma Indonesia. I ke anamanaʻo loiloi loiloi loiloi lohi, ke kūʻai nei i ke kikowaena ʻoihana i loaʻa i ka wahi hana, ke kūʻai aku nei i nā ʻoihana i loaʻa i ka home, ke kulekele hoʻonāukiuki kūʻai, a me ka uku hoʻoliʻiliʻi kumu kūʻai i hoʻohuli i ka manaʻo o ka lawe ʻana i kahi motika uila. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 NO. 1 (2020) 70-81 78 Utami et al. DOI: 10.25077 / josi.v19.n1.p70-81.2020 Papa 7. Hōʻailona Pane Hoʻohālikelike Variabel Pane Code Kānāwai Kānāne i male ʻia X1b 2 Makahiki 31-45 X2 2 kāne kāne X3a 1 Haʻawina Haʻawina Haʻawina X4 4 ʻOihana limahana limahana X5c 3 mahina. 'ilikai hokii Rp2.000.000-5.999.999 X6 2 Makahiki loaʻa pae pae Rp. 6.000.000-9.999.999 X7 3 Ka helu o ke kaʻa mokokaikala ≥ 2 X8 3 ʻO ka pinepine o ka kaʻana like ʻana ma ka pāpili kaila i mau manawa / mahina X9 4 Ka nui o ka pūnaewele pūnaewele 100-500 poʻe X10 2 Kaʻike kaiapuni 1 X11 1 Harga beli 3 X12 3 ʻO ke kumu kūʻai o ka pila 3 X13 3 Ka uku kauoha 3 X13 3 Kākoʻo mālama 5 X14 5 Ka hiki ke holo kaʻa uila 4 X15 4 Mana 5 X16 5 manawa hoʻouka 4 X17 4 palekana 5 X18 5 Ke ola uila 4 X19 4 Loaʻa ke kikowaena kaʻa i nā wahi lehulehu 4 X20 4 loaʻa ke kahua hoʻonohonoho kauoha. ma ka hana 4 X21 4 Loaʻa ke kikowaena pūnaewele ma ka home 4 X22 4 Loaʻa nā wahi lawelawe 2 X23 2 Kālā hoʻolālā hoʻoiho 5 X24 5 Kālā hoʻēmi ʻauhau makahiki 5 X25 5 Kālā hoʻolālā hoʻemi uku 5 X26 5 Kālā kauoha uku 5 X27 5 Kālā mālama 3 X13 3 Mileage mākaukau 5 X14 5 Mana 4 X15 4 Manawa kauoha 5 X16 5 Manaʻo ka hapa nui o nā mea pane e pili ana i ka loaʻa ʻana o kahi ʻoihana i nā home, nā wahi hana a me nā wahi lehulehu e like me ka hopena o ka lawe ʻia o nā motika uila. Hiki i ke aupuni ke hoʻonohonoho i ka hoʻonohonoho ʻana i nā hana i hoʻonohonoho ʻia i nā wahi lehulehu e kākoʻo i ka lawe ʻana o nā motika uila. Hiki i ke aupuni ke hana pū me ka ʻoihana ʻoihana e hoʻomaopopo i kēia. I ke kūkulu ʻana i nā hōʻailona pae kiʻekiʻe, hōʻike kēia noiʻi i kekahi mau koho kulekele hoʻonāukiuki. ʻO nā kulekele hoʻonāukiuki koʻikoʻi e like me ka ana ʻana ke kūʻai ʻana i nā kulekele hoʻonāukiuki a me ka hoʻouku ʻana i nā kulekele hōʻemi uku hoʻemi hiki ke noʻonoʻo ʻia e ke aupuni e kākoʻo i ka lawe ʻana o nā motika uila ma Indonesia. Ma nā kumu kālā, loaʻa ka hopena koʻikoʻi o ke kumukūʻai kūʻai i ka manaʻo e kūʻai i kahi motika uila. ʻO kēia ke kumu no ka hopena o ka hoʻolimalima no ke kōkua kūʻai aku i ka hopena o ka manaʻo o ka hānai. ʻO ke kumukūʻai mālama māmā o nā motika uila ma mua o nā motika maʻamau i hoʻohuli i ka manaʻo no ka lawe ʻana i nā kaʻa uila. No laila ke loaʻa ʻana o nā lawelawe e kūpono i nā pono o nā mea kūʻai aku e paipai hou i ka manaʻo o ka lawe ʻana i nā motika uila no ka mea ʻaʻole ʻike ka hapa nui o nā mea hoʻohana i nā ʻāpana i nā motika uila no laila pono lākou i nā ʻenehana loea inā aia kekahi mau pohō. Ua hoʻokō ka hana o nā mokokaikala uila i nā pono o nā mea kūʻai e hālāwai me kā lākou neʻe i kēlā me kēia lā. ʻO ka wikiwiki o ka motika uila a me ka manawa hoʻouka i hiki ke hoʻokō i nā kūlana i makemake ʻia e nā mea kūʻai. Eia nō naʻe, ʻoi aku ka maikaʻi o ka hana motika e like me ka hoʻonui ʻana i ka palekana, ke ola o nā pila, a me nā mileage hou aʻe e hoʻonui i ka manaʻo o ka lawe ʻana i kahi motika uila. Ma waho o ka hoʻonui ʻana i ka hoʻopukapuka ʻenehana, pono pū ke aupuni a me nā ʻoihana e hoʻomaikaʻi i ka ʻōnaehana loiloi palekana a hilinaʻi hoʻi no nā motika uila e hoʻonui i ka hilinaʻi o ka lehulehu. No nā ʻoihana, ke hoʻolaha nei i ka maikaʻi a me ka hana kekahi o nā ala kūpono e hoʻonui ai i ka hoihoi o ka poʻe kūʻai no nā motika uila. ʻO nā mea kūʻai aku i ʻōpio a loaʻa i kahi pae ʻoi aku ka kiʻekiʻe o ke aʻo e hiki ke hoʻokokoke ʻia e like me nā mea lawe mua e lilo i mau mea hoʻohuli no ka mea ua loaʻa iā lākou kahi ʻano optimistic a loaʻa kahi pūnaewele ākea. Hiki ke hoʻokō ʻia ka māhele mākeke e ka hoʻolana ʻana i nā hiʻohiʻona kikoʻī no nā mea kūʻai aku i māka ʻia. Eia kekahi, ʻo ka poʻe pane me ka ʻike kaiapuni kiʻekiʻe e makemake e lawe i nā motika. UTAMI ET AL. / MOOLELO NO NA HANA AUPUNI MA NA HANA - VOL. 19 NO. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 79 NĀ MANAʻO ʻO ka hoʻololi ʻana mai nā motika maʻa mau i nā motika uila hiki ke lilo i hopena ʻoi loa e kāpae i ka pilikia o ke kiʻekiʻe CO2 pae ma Indonesia. Ua hoʻomaopopo a ua hele a komo ke aupuni ʻInidonesia i ka hoʻonohonoho ʻana i nā kulekele like ʻole e pili ana i nā kaʻa uila ma Indonesia. Akā i ka ʻoiaʻiʻo, ʻo ka lawe ʻana o nā kaʻa uila ma Indonesia i kahi wā mua loa ia mai nā pahuhopu i hoʻonohonoho ʻia e ke aupuni. ʻAʻole kākoʻo ke kaiapuni i ka lawe ʻana o nā motika uila e like me ka ʻole o nā rula kikoʻī a me ka nele o ke kākoʻo ʻana i nā hanana uila e lawe i ka lawe haʻahaʻa o nā kaʻa uila ma Indonesia. Ua noiʻi ʻia kēia noiʻi 1,223 mai nā panalāʻau he 10 i loaʻa he 80% o ka huina o nā kūʻai mokulele ma Indonesia e ʻimi i nā mea nui e hoʻopili ana i nā manaʻo o ka lawe ʻana i nā motika uila ma Indonesia a ʻike i nā hana kūpono. ʻOiai ʻo ka hapanui o ka poʻe hoihoi e pili ana i nā motika uila a makemake e loaʻa i kahi motika uila i ka wā e hiki mai ana, ua haʻahaʻa loa ko lākou hoihoi i ka lawe ʻana i kahi motika uila. ʻAʻole makemake nā mea pane e hoʻohana i nā motika uila i kēia manawa ma muli o nā kumu like ʻole e like me ka nele o nā hanana a me nā kulekele. He nui nā mea pane i ke ʻano o ke kali a nānā ʻana i ka lawe ʻia o nā motika uila, me nā kumu waiwai, nā ʻenehana, a me nā pae macro e pono ai e ukali i nā koi a ka poʻe kūʻai. Hōʻike kēia noiʻi i ka nui o ke alapine o ka kaʻana like ʻana ma ka pāpili kaiaulu, ke kiʻekiʻe o ka ʻike kaiapuni, ke kūʻai ʻana i nā kumukūʻai, nā kumukūʻai mālama, ka wikiwiki ʻoi loa o nā motika uila, ka manawa hoʻouka uila, hiki ke loaʻa o nā ʻoihana hoʻokau i ka hana, loaʻa o ka hoʻouka ʻana i nā ʻoihana hale. kūʻai i nā kulekele hoʻonāukiuki, a me ka hoʻopiʻi ʻana i nā kulekele hoʻonāukiuki hōʻemi i ke kākoʻo ʻana i ka lawe ʻana o nā motika uila ma Indonesia. Pono ke aupuni e kākoʻo i ka hoʻolako ʻana i ke kūkulu ʻana i ke kikowaena hoʻonohonoho a me ka hoʻokumu ʻana i nā kulekele hoʻoikaika e hōʻeleu ai i ka lawe ʻana o nā motika uila ma Indonesia. Pono e noʻonoʻo pono ʻia nā mea ʻenehana e like me ka mileage a me ke ola o nā pila e nā mea hana e kākoʻo i ka lawe ʻia o nā motika uila. ʻO nā kumu kālā e like me ke kūʻai ʻana i nā kumukūʻai a me nā kumukūʻai o nā pila pono e hopohopo i nā ʻoihana a me ke aupuni. 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NOMENCLATURE j nā waeʻano hilinaʻi e pili ana (j = 1, 2, 3, 4, 5) k waeʻano kūʻokoʻa kūʻokoʻa (k = 1, 2, 3,…, m) i nā papa helu kūʻokoʻa kūʻokoʻa kūlike n ke kaʻina o nā mea pane hoʻololi Xk helu kūʻokoʻa kūʻokoʻa Xik quanlitative kūʻokoʻa kūʻokoʻa Y ka loli kūlike ʻo Pj (Xn) ka manawa kūpono no kēlā me kēia mahele o ke kūʻokoʻa kūʻokoʻa no kēlā me kēia mea pane AUTHORS BIOGRAPHY ʻO Martha Widhi Dela Utami ʻO Martha Widhi Dela Utami kahi haumāna laepua o ka ʻOihana ʻenehana ʻenehana ʻo Universitas Sebelas Maret. No ia ʻo Logistics a me ka ʻōnaehana ʻōnaehana ʻoihana. ʻO kāna mau ʻimi noiʻi ka logistics & management chain management and market market. Ua hoʻopuka ʻo ia i kāna hoʻolaha mua e pili ana i ka anamanaʻo ʻike kanaka no ka kaʻa kaʻa uila ma Indonesia ma 2019. ʻO Yuniaristanto Yuniaristanto he mea haʻi ʻōlelo a he mea noiʻi ma ka ʻOihana ʻOihana ʻElekana, Universitas Sebelas Maret. ʻO kāna mau pono noiʻi ka chain supply, hoʻohālikelike hoʻohālikelike, ka ana hana a me ka hana ʻana ʻenehana. Loaʻa iā ia nā puke pai i kuhikuhi ʻia e Scopus, 41 ʻatikala me 4 H-index. ʻO kāna leka uila ʻo yuniaristanto@ft.uns.ac.id. ʻO Wahyudi Sutopo Wahyudi Sutopo, he kekelē ʻoihana ʻenehana (Ir) mai ka Polokalamu Study of Professional Engineer - Universitas Sebelas Maret (UNS) ma ka makahiki 2019. Loaʻa iā ia kāna kekelē laepua no ka ʻenehana o ka ʻenehana ʻenehana a me ka Management mai Institut Teknologi Bandung (ITB) ma 2011, Kumu ʻEpekema i ka Hoʻomalu mai Universitas Indonesia ma 2004 a me ke kēkelē laepua i ka ʻenehana ʻenehana mai ITB i ka makahiki 1999. ʻO kāna mau pono noiʻi he kaulahao lako, ʻenekinia hoʻokele waiwai & kālailai kumukūʻai, a me ka ʻenehana hoʻolana. Loaʻa iā ia he 30 mau haʻawina noiʻi. Loaʻa iā ia nā puke pai i kuhikuhi ʻia e Scopus, 117 ʻatikala me 7 H-index. ʻO kāna leka uila ʻo wahyudisutopo@staff.uns.ac.id.ʻO nā hopena o ka loiloi loiloi logistic no nā ʻano TE1 ma o TE5 e pili ana i nā ʻenehana e hōʻike ana i nā hopena i loaʻa i ka manawa hoʻouka uila (TE3) i ka hopena o ka manaʻo lawe keiki o nā motika uila ma Indonesia. ʻAʻole kākoʻo ka waiwai nui no ka hiki i ka mileage (0.107) Hypothesis 16, ʻaʻohe hopena koʻikoʻi o ka mileage i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no kahi mile mile ʻoi loa ʻo 0.146, hōʻailona maikaʻi ke ʻano o ka pono kūpono o ka mīkini mile uila no kekahi, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ka mana kūʻokoʻa kūʻokoʻa a i ʻole ka wikiwiki nui (0.052) i ke kuhiakau 17, ʻaʻole ka hopena o ka wikiwiki i hoʻohuli i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ka esimate no ka wikiwiki a i ʻole ka wikiwiki ʻoi loa ka 0.167, hōʻailona maikaʻi ke ʻano o ka ʻoi aku o ka wikiwiki o ka motika uila no kahi kanaka, ʻoi aku ka kiʻekiʻe i ka manaʻo e lawe i kahi motika uila. Kākoʻo ka waiwai nui no ka manawa hoʻouka kālā (0.004) i ka Hypothesis 18, he hopena koʻikoʻi ka manawa hoʻouka i ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai i manaʻo ʻia no ka hoʻoiho ʻana i ka manawa ʻo 0.240, ka hōʻailona maikaʻi ʻo ia ka nui o ka wikiwiki o ka motika uila no kekahi, ʻoi aku ka kiʻekiʻe o ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ka palekana (0.962) i ke Kuhiakau 19, ʻaʻole ka hopena o ka palekana i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ke kuhi no ka palekana he -0.005, hōʻailona maikaʻi ʻole ʻo ia ka manaʻo o ka mea i ʻoi aku ka paʻa o ka uila me ka uila, ʻo ka haʻahaʻa ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ke ola o ka pila (0.424) i ke Kuhiakau 20, ʻaʻohe hopena o ke ola o ka pila i ka manaʻo e lawe i kahi motika uila. ʻO ka waiwai o ka loiloi no ke ola o ka pila o 0.068, hōʻailona maikaʻi ke ʻano o ke kūpono o ke ola o ka uila uila uila, ʻoi aku ka kiʻekiʻe i ka manaʻo e lawe i kahi motika uila. Nā hualoaʻa o ka loiloi logistic regression no nā loli ML1 a i ML7 e pili ana i nā mea kiʻekiʻe kiʻekiʻe e hōʻike ana i nā hopena e hōʻike wale ana i ka loaʻa ma ka wahi hana (ML2), ke kiʻi ʻana i ka loaʻa ma ka hale noho (ML3), a me ka hoʻopiʻi ʻana i ke kulekele hoʻemi uku (ML7). he hopena koʻikoʻi ia i ka manaʻo hānai o nā motika uila ma Indonesia. ʻAʻole kākoʻo ka waiwai nui no ka loaʻa ʻana o ka uku i nā wahi lehulehu (0.254) i ke Hypothesis 21, ʻaʻole e hoʻohuli i ka loaʻa ʻana i nā wahi lehulehu i ka manaʻo e lawe i ka motika uila. Kākoʻo ka waiwai nui no ka loaʻa ʻana o ke koina ma kahi hana (0,007) Hypothesis 22, he hopena koʻikoʻi ka hoʻouka ʻana i ka loaʻa ma kahi hana i ka manaʻo e lawe i kahi motika uila. ʻO ke kumu waiwai nui no ka loaʻa ʻana o ke koina ma kahi home (0.009) Kākoʻo iā Hypothesis 22, loaʻa ka hoʻouka ʻana ma ka home he hopena koʻikoʻi i ka manaʻo o ka lawe ʻana i kahi motika. ʻAʻole kākoʻo ka waiwai nui no ka loaʻa o nā wahi lawelawe (0.181) i ke Kuhiakau 24, ʻaʻohe hopena o ka loaʻa o nā wahi lawelawe i ka manaʻo e lawe i kahi motika uila. ʻO ke kumukūʻai koʻikoʻi no ke kulekele hoʻonāukiuki kūʻai (0.017) kākoʻo i ke Kuhiakau 25, he hopena koʻikoʻi ka kulekele hoʻonāukiuki i ka manaʻo e lawe i kahi motika uila. ʻAʻole kākoʻo ka waiwai nui no ke kulekele uku hoʻēmi makahiki (0.672) i ke Kuhiakau 26, ʻaʻohe hopena koʻikoʻi o ke kulekele hoʻonāukiuki ʻauhau makahiki i ka manaʻo o ka lawe ʻana i kahi motika uila. Kākoʻo ke kumukūʻai nui no ke kulekele hoʻēmi kumu kūʻai hoʻoemi (0.00) i ke Kuhiakau 27, he hopena koʻikoʻi ka kulekele hoʻonāukiuki hoʻemi kumu kūʻai i ka manaʻo e lawe i kahi motika uila. Wahi a ka hopena mai ka pae kiʻekiʻe-macro, hiki ke ʻike ʻia ke lawe uila uila inā hoʻokau ʻia ke kahua i ka wahi hana, ke keʻena hoʻokau i ka hale noho, a mākaukau ka hoʻopiʻi ʻana i nā kulekele uku hoʻēmi e acces e nā mea kūʻai aku. Ma ke ʻano holoʻokoʻa, ke alapine o ka kaʻana like ʻana ma ka pāpili kaiaulu, ke kiʻekiʻe o ka ʻike kaiapuni, ke kūʻai ʻana i nā kumukūʻai, nā kumukūʻai mālama, ka wikiwiki ʻoi loa o nā mokokaikala uila, ka manawa hoʻouka uila UTAMI ET AL. / MOOLELO NO NA HANA AUPUNI MA NA HANA - VOL. 19 NO. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 77 kūʻai i nā kulekele hoʻonāukiuki, a me ka hoʻopiʻi ʻana i nā kulekele hoʻonāukiuki hōʻemi e hoʻohuli nui nei i ka manaʻo e lawe i nā kaʻa uila. Ke Ana Hoʻohālikelike a me ka Hana Mana Pono Kaulike 3 kahi hoʻohālikelike logit no ke koho o ka pane "makemake ʻole" e lawe i kahi motika uila.  =  = + 27 1 01 (1 |) kg Y Xn   k Xik (3) Hoʻohālikelike ka helu 4 i kahi koho o ka pane "makemake ʻole" e lawe i kahi motika uila.  =  = + 27 1 02 (2 |) kg Y Xn   k Xik (4) ʻO ka hoʻohālikelike 5 kahi hoʻohālikelike logit no ke koho o ka pane "kānalua" e lawe i kahi motika uila.  =  = + 27 1 03 (3 |) kg Y Xn   k Xik (5) Hoʻohālikelike ka helu 6 i kahi koho logit "makemake" e lawe i kahi motika uila.  =  = + 27 1 04 (4 |) kg Y Xn   k Xik (6) Nā hana kūpono o ka lawe ʻana i nā motika uila i hōʻike ʻia i ka Kaulike 7 a i ke Kaulike 11. ʻO ka hoʻohālikelike 7 ka hana probablility no ke koho ʻana i ka pane. makemake ʻole ”e lawe i ke kaʻa uila. eenng YX g YXP Xn PY Xn (1 |) (1 |) 1 1 () (1 |)   + = =  (7) ʻO ke kaulike 8 ka hana probablility no ke koho ʻana i ka pane "makemake ʻole" e hoʻohana i kahi kaʻa uila. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (1 |) (1 |) (2 |) (2 |) 2 1 1 (2 |) (1 |) () (2 |)     + - + = =  -  = = (8) ʻO ka hoʻohālikelike 9 ka hana probablility no ke koho ʻana i ka pane "kānalua" e lawe i kahi motika uila. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (2 |) (2 |) (3 |) (3 |) 3 1 1 (3 |) (2 |) () (3 |)     + - + = =  -  = = (9) ʻO ke kaulike 10 ka hana probablility no ke koho ʻana i ka pane "makemake" e lawe i kahi motika uila. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (3 |) (3 |) (4 |) (4 |) 4 1 1 (4 |) (3 |) () (4 |)     + - + = =  -  = = (10) ʻO ke kaulike 11 ka hana probablility no ke koho ʻana i ka pane "makemake nui" e lawe i kahi motika uila. eenng YX g YX nnn PYXPXPYX (4 |) (4 |) 5 1 1 1 (4 |) () (5 |)   + = - = -  = = (11) Manaʻo Hoʻohui Hoʻohālikelike noi ʻia i kahi laʻana o ka pane a nā mea pane. Hōʻike ka Pakuhi 8 i nā ʻano a me nā pane o ka laʻana. No laila ke kūpono e pane i kēlā me kēia kaha i ka loli hilinaʻi e helu ʻia ma ka Equation 7 - 11. ʻO kahi laʻana o nā mea pane i loaʻa nā pane e like me ka hōʻike ʻana ma ka Papa 7 he kaha 0 0,0013 no ka makemake ʻole e hoʻohana i nā motika uila, kahi kūpono o 0.0114 no ka makemake ʻole e hoʻohana i ka motika uila, kahi kūpono o 0.1788 no ka kānalua e hoʻohana i ka motika uila, kahi kūpono o 0.563 e makemake e hoʻohana i kahi motika uila, a me kahi likelike o 0.2455 e makemake ikaika e hoʻohana i kahi motika uila. Hoʻohālikelike ʻia ka likelika o ka lawe uila mokokaikala no 1,223 mau respondents a ʻo ka awelika o ka likelika no nā pane i ka makemake ʻole e hoʻohana i ka mokoka uila ʻo ia ka 0.0031, makemake ʻole e hoʻohana i ka uila uila uila ʻo 0,0198, kā