Hurumende yeIndonesia yanga yakanangana nekugamuchirwa kwemamiriyoni maviri emadhora emota yemagetsi emavhiri maviri uye zvikamu mazana maviri nemazana maviri emota dzemagetsi muna2025 kuburikidza neRepublic of Indonesia's Presidential Regulation No. 22 muna 2017 nezve National Energy General Plan. Mu2019, Hurumende yeIndonesia yakaburitsa Presidential Regulation Nha. 55 muna 2019 maererano nekumhanyisa kweBattery Electric Vehicle Chirongwa cheMigwagwa Yekutakura. Muna 2018, kugamuchirwa kwemaviri-mavhiri emagetsi emagetsi akangosvika pa0.14% yechinangwa chehurumende chegore ra2025. Naizvozvo, kugamuchirwa kweElectric Motorcycle (EM) tekinoroji inofanirwa zvakare kufunga zvinhu zvakawanda kuti zvibudirire. Uku kutsvagisa kunogadzira isiri-yemaitiro emagetsi mota yekutora chinangwa modhi. Izvo zvinhu zvinosanganisira sociodemographic, zvemari, tekinoroji, uye macrolevel. Ongororo yepamhepo yakabatanidza vakapindura 1,223. Kugadziriswa kwemagetsi kunoshandiswa kuwana mashandiro uye mukana wekukosha kwechinangwa chekutora EM muIndonesia. Kakawanda yekugovana pasocial media, danho rekuziva nezvezvakatipoteredza, mitengo yekutenga, mari yekugadzirisa, kumhanyisa kumhanyisa, nguva yekuchaja bhatiri, kuwanikwa kwenzvimbo dzekuchaja chiteshi pabasa, kuwanikwa kwesimba remagetsi kunoenderana - kubhadharisa zvivakwa, marongero ekukurudzira, uye kubhadharisa mutengo mazano ekukurudzira ari kukurudzira zvakanyanya chinangwa chekutora mota dzemagetsi. Zvinoratidza zvakare kuti mukana wevaIndonesia wekutora midhudhudhu emagetsi unosvika ku82.90%. Kuzadzikiswa kwekugamuchirwa kwemidhudhudhu emagetsi muIndonesia kunoda kugadzirira kwezvivakwa nemitengo inogona kugamuchirwa nevatengi. Chekupedzisira, mhedzisiro yetsvagiridzo iyi inopa mamwe mazano kuhurumende nemabhizinesi ekukurumidza kutambira mudhudhudhu wemagetsi muIndonesia.

Nhanganyaya

Chikamu chehupfumi muIndonesia (kutakura, kugadzira magetsi, uye dzimba) zvinonyanya kushandisa mafuta. Mimwe mhedzisiro yakaipa yekutsamira kwakanyanya pamafuta emafuta ndeyekuwedzera kugoverwa kwemari yemafuta, matambudziko ekuchengetedza magetsi, uye nemazinga akakwirisa emweya Kufambisa chikamu chakakura chinopa kukwirisa kweEC2 mumhepo nekuda kwekushandisa kwakawanda kwemafuta epasi. Tsvagurudzo iyi inotarisa pamidhudhudhu nekuti Indonesia, senyika iri kusimukira, ine midhudhudhu yakawanda kupfuura mota. Huwandu hwemidhudhudhu muIndonesia hwakasvika zvikamu zana negumi nemakumi masere nezana nemakumi mairi nemakumi mana nenomwe muna2018 [1] uye kutengeswa kwemidhudhudhu kwasvika zvikamu zvuru zvitanhatu nemazana mana nemakumi mana nemakumi mana nemana muna2019 [2]. Kuchinjisa chikamu chekufambisa kune mamwe masosi esimba kunogona kudzikisa akakwira CO2 mazinga. Mhinduro yechokwadi yedambudziko iri ndeyekushandisa zvakasvibirira zvigadzirwa kuburikidza nekupinda kwemagetsi emagetsi muIndonesia senge emagetsi emagetsi emagetsi, plug-in yemagetsi emagetsi, uye nemagetsi emagetsi emagetsi [3]. Tekinoroji yemotokari yemagetsi hunyanzvi uye hunyanzvi hwebhatiri hunyanzvi hunogona kupa mhinduro dzekufambisa idzo dzakachengetedza nharaunda, dzinoshandisa magetsi, uye kudzikisa mashandiro uye mitengo yekuchengetedza [4]. Magetsi emagetsi akawanda anokurukurwa nenyika dzenyika. Mune bhizimusi repasi rese remagetsi mota, paive nekukosha kwekutengesa kwemaviri-mavhiri emudhudhudhu emagetsi akasvika 58% kana kutenderera 1,2 mamirioni mayuniti kubva 2016 kusvika 2017. Kukura kwekutengesa uku kunoratidza kupindurwa kwakanaka kubva kunyika dzepasirese nezvekuvandudzwa kwemagetsi. mudhudhudhu tekinoroji iyo rimwe zuva, midhudhudhu yemagetsi inotarisirwa kutsiva mota dzakapiswa-fossil. Chinhu chekutsvaga ndecheMagetsi Midhudhudhu (EM) iyo ine New Dhizaina yeMagetsi Midhudhudhu (NDEM) uye Inoshandurwa Magetsi Midhudhudhu (CEM). Rudzi rwekutanga, iyo Dhizaini Nyowani yeMagetsi Midhudhudhu (NDEM), imotokari yakagadzirirwa nekambani inoshandisa tekinoroji yemagetsi pakuita kwayo. Dzimwe nyika pasi rose dzakaita seAustralia, Germany, England, France, Japan, Taiwan, South Korea, neChina dzakatoshandisa midhudhudhu yemagetsi sechinhu chinotsiva mota dzemudhudhudhu dzakafuta [5]. Rimwe bhasikoro remagetsi midhudhudhu iZero Midhudhudhu inogadzira mitambo yemagetsi midhudhudhu [6]. PT. Gesits Technologies Indo yakagadzirawo maviri-mavhiri emudhudhudhu emagetsi pasi pechiratidzo Gesits. Rudzi rwechipiri ndeye CEM. Anoshandurwa mudhudhudhu wemagetsi imudhudhudhu wakafuta-mafuta uko mota nemainjini zvikamu zvakatsiviwa neLithium Ferro Phosphate (LFP) bhatiri kits senzvimbo yesimba. Kunyangwe nyika zhinji dzichigadzira mudhudhudhu wemagetsi, hapana munhu akagadzira mota nekushandisa nzira dzekutendeuka. Kutendeuka kunogona kuitwa pamudhudhudhu wemavhiri maviri uyo usisashandiswe nevashandisi vawo. Universitas Sebelas Maret ari piyona mukugadzira CEM uye nehunyanzvi anoratidza kuti Lithium-Ion mabhatiri anogona kutsiva fossil simba simba masosi pane zvakajairika midhudhudhu. CEM inoshandisa tekinoroji yeLFP, bhatiri iri hariputi panowanikwa dunhu pfupi. Kunze kwaizvozvo, bhatiri reLFP rine hupenyu hwakareba hwekushandisa hunosvika mazana matatu ekushandisa macircuit uye akareba kupfuura azvino ezvokutengeserana EM mabhatiri (senge Lithium-Ion Bhatiri uye LiPo Bhatiri). CEM inogona kufamba 55 km / kuchaja uye iine kumhanyisa kumhanyisa inosvika 70 km / awa [7]. Jodinesa, et al. [8] akaongorora mugove wemusika wemidhudhudhu yemagetsi inoshandurwa muSurakarta, Indonesia uye zvakakonzera kuti vanhu veSurakarta vapindure zvakanaka kuCEM. Kubva kutsananguro iri pamusoro, zvinogona kuonekwa kuti mukana wemidhudhudhu emagetsi wakakura. Ongororo dzinoverengeka pamatanho ane chekuita nemotokari dzemagetsi uye mabhatiri akagadzirwa, senge iyo Lithium Ion bhatiri standard naSutopo et al. [9], iyo bhatiri manejimendi sisitimu yakajairwa naRahmawatie et al. [10], uye mota yemagetsi yekuchaja zviyero naSutopo et al. [11]. Kunonoka kwekutorwa kwemotokari dzemagetsi kuIndonesia kwaita kuti hurumende iburitse marongero akati wandei ekuvandudza indasitiri yemotokari uye yakaronga kunongedza kutorwa kwemamirioni emamirioni 2.1 ezvimudhudhudhu zvemagetsi uye zvikamu mazana maviri nemazana maviri emota dzemagetsi muna 2025. Kunze kwezvo, hurumende yaive zvakare yakanangana neIndonesia kuti ikwanise kuburitsa mazana maviri nemazana maviri emagetsi emagetsi kana emahybrids ayo akataurwa muRepublic of Indonesia Presidential Regulation No. 22 ya2017 maererano neNational Energy General Plan. Mutemo uyu wakashandiswa nenyika dzakasiyana siyana dzakaita seFrance, England, Norway, neIndia. Bazi reMagetsi neMineral Resources rakatemerwa chinangwa chekuti kutanga muna 2040, kutengesa kweInternal Combustion Engine Vehicles (ICEV) kunorambidzwa uye veruzhinji vanokumbirwa kushandisa mota dzinoshandisa magetsi [12]. Mu2019 Hurumende yeIndonesia yakaburitsa Presidential Regulation Nha. 55 ye2019 maererano nekumhanyisa kweBattery-Yakavakirwa Magetsi Mota Yechimota Yekutakura Kwemigwagwa. Kuedza uku idanho rekukunda matambudziko maviri, anoti kuderedzwa kwemafuta emafuta uye kusvibiswa kwemhepo. Nezve kusvibiswa kwemhepo, Indonesia yakazvipira kudzikisa 29% yekabhoni dhayokisaidhi muna 2030 nekuda kweMusangano weParis wekuShanduka kweMamiriro ekunze wakaitwa muna2015. Muna 2018, kupinda kwemotokari dzemagetsi dzemavhiri maviri kwakangosvika 0.14% yezvakanangwa nehurumende 2025, nepo kwemagetsi emakumbo mana akasvika kupfuura 45%. Muna Zvita 2017, pakanga paine dzinopfuura dzinopfuura 1,300 nhepfenyuro dzeruzhinji dzemagetsi dzinowanikwa munyika dzese mumaguta makumi maviri nemana, mune makumi manomwe neshanu (924 yekuzadza zviteshi) iri muDKI Jakarta [13]. Nyika zhinji dzakatsvaga nezve kutorwa kwemotokari yemagetsi, asi muIndonesia, kutsvagisa zviyero zvemunyika hakuna kumboitwa kare. Pakave nemhando dzakawanda dzekutsvagisa mune dzimwe nyika dzakaita zvidzidzo zvekubvumidzwa kwehunyanzvi hutsva nekushandisa nzira dzinoverengeka senge dzakawanda mutsara kudzora kuziva chinangwa chekushandisa mota dzemagetsi muMalaysia [14], Structural Equation Modeling (SEM) kuziva kutorwa. yemabhatiri emagetsi emagetsi 'zvipingamupinyi muTianjin, China [15], yekuongorora zvinhu & multivariate regression modhi yekuziva zvipingamupinyi pakati pevatyairi vemota dzemagetsi muUnited Kingdom [16], uye kudzokorodza kwemagetsi kuziva zvinhu zvinokanganisa kutorwa kwemotokari dzemagetsi mu Beijing, China [17]. Zvinangwa zvekutsvaga uku ndezvekukudziridza muenzaniso wekutora midhudhudhu yemagetsi muIndonesia, kutsvaga izvo zvinokonzeresa zvinangwa zvekutora midhudhudhu yemagetsi muIndonesia, uye kuona mikana yemabasa ekugamuchirwa kwemidhudhudhu yemagetsi muIndonesia. Kuenzanisira zvinhu zvakakosha kuti uone kuti ndezvipi zvinhu zvinokonzeresa chinangwa chekutora midhudhudhu yemagetsi muIndonesia. Izvi zvinhu zvine simba zvinogona kushandiswa senge chirevo chekuumba marongero akakodzera kuti akurumidze kugamuchirwa kwemidhudhudhu emagetsi. Izvi zvakakosha zvinhu mufananidzo weakanaka mamiriro anodikanwa nevangangodaro vanoshandisa magetsi emudhudhudhu muIndonesia. Mamwe masevhisi muIndonesia ane chekuita nekuumbwa kwemitemo ine chekuita nemotokari dzemagetsi ndiro Ministry remaindasitiri rinoona nezvemitero yemitero yemota zvichibva pazvinhu zvaro zvinobata zvakananga nevagadziri vemota dzemagetsi, iro Bazi Rezvekutakura rinoita bvunzo dzemota dzemagetsi. gadzira panzira huru senge bvunzo dzebhatiri nezvimwewo, pamwe neIbazi reMagetsi neMineral Resources rinoona nezve kuumba Mitero yeMagetsi yeMotokari Chekuchaja kune zvivakwa zvemabhizimusi emagetsi ekuchaja mabhizimusi. Magetsi emagetsi hunyanzvi anokurudzirawo kuberekwa kwemabhizimusi matsva mumaketeni ekutengesa anosanganisira technopreneurs uye kutanga-kusimuka kubva kune vanogadzira, vatengesi, vagadziri, uye vanogovanisa zvigadzirwa zvemagetsi / masevhisi nemagetsi avo kumusika [24]. Magetsi emudhudhudhu emabhizimusi anogona zvakare kugadzira tekinoroji uye kushambadzira nekufunga izvi zvakakosha zvinhu kuti vatsigire kuzadzikiswa kwemidhudhudhu yemagetsi pachinzvimbo cheyakajairwa midhudhudhu muIndonesia. Ordinal logistic regression yakashandiswa kuwana basa uye mukana kukosha kwechinangwa chekutora midhudhudhu emagetsi muIndonesia uchishandisa SPSS 25 software. Kudzoreredza zvinhu kana kudzoreredza nzira kuita nzira dzekufungidzira. Kugadziriswa kwemagetsi muzviverengero zvinoshandiswa kufungidzira mukana wechiitiko chinoitika nekufananidza iyo data mune iyo logit curve logistic basa. Iyi nzira ndeye yakajairika mitsara yemhando ye binomial regression [18]. Kudzoreredzwa kwemagetsi kwakashandiswa kufanotaura kugamuchirwa kweinternet uye nhare kubhengi kutorwa [19], fungidzira kugamuchirwa kwemifananidzo voltaic tekinoroji kutorwa muNetherlands [20], kufanotaura kugamuchirwa kweterevhizheni system technology yehutano [21], uye kuwana kunze kwezvipingaidzo zvehunyanzvi zvinokanganisa sarudzo yekutora gore masevhisi [22]. Utami et al. [23] uyo akamboita tsvagiridzo pamaonero evatengi emota dzemagetsi muSurakarta, vakaona kuti mitengo yekutenga, mamodheru, mashandiro emota, uye kugadzirira kwezvivakwa ndizvo zvipingaidzo zvikuru zvevanhu vanotora mota dzemagetsi. Nzira Nzira iyo data rakaunganidzwa mukutsvagisa iri data rekutanga rakawanikwa kuburikidza neongororo dzepamhepo kutsvaga mikana uye zvinhu zvinokanganisa chinangwa chekutora midhudhudhu yemagetsi muIndonesia. Bvunzurudzo uye Ongororo Ongororo yepamhepo yakagovaniswa kune vakapindura 1,223 mumatunhu masere muIndonesia kuti vaongorore zvinhu zvinokonzeresa chinangwa chekutora midhudhudhu yemagetsi muIndonesia. Aya matunhu akasarudzwa aive nezvinopfuura makumi masere muzana% zvekutengesa midhudhudhu muIndonesia [2]: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra, neBali. Zvinhu zvinoongororwa zvinoratidzwa muTafura 1. Ruzivo rwezvose pamusoro pemudhudhudhu wemagetsi wakapihwa pakutanga kwebvunzo remibvunzo nekushandisa vhidhiyo kudzivirira kusanzwisisana. Bvunzo remubvunzo rakakamurwa kuita zvikamu zvishanu: chikamu chekutarisa, chikamu chezvemagariro evanhu, chikamu chemari, chikamu chehunyanzvi, uye chikamu chemacro-chikamu. Mubvunzo wakabvunzwa muchikero cheLikert che1 kusvika pa5, apo 1 yekusabvumirana zvakanyanya, 2 yekusabvumirana, 3 yekusahadzika, 4 yekubvumirana, uye 5 yekubvuma zvakasimba. Kugadzwa kweiyo shoma sampuli saizi inoreva ku [25], yakataura kuti zvidzidzo zvekucherechedza zvine hukuru hwehuwandu hwevanhu hunosanganisira kugadziriswa kwezvinhu zvinoda hushoma sampuro saizi ye500 kuwana huwandu hunomiririra parameter. Cluster sampling kana nzvimbo sampling ine huwandu hunoshandiswa mune iyi ongororo nekuti huwandu hwevashandisi vemidhudhudhu muIndonesia hwakakura kwazvo. Kunze kwezvo, chinangwa chekuenzanisira chinoshandiswa kuona masampuli zvichibva pane zvimwe zvinodiwa [26]. Ongororo dzepamhepo dzinoitwa kuburikidza neFacebook Ads. Vanokodzera kupindurwa vanhu vane makore anosvika makore gumi nemanomwe ekuberekwa, vane SIM C, vari mumwe wevanotora sarudzo kutsiva kana kutenga mudhudhudhu, uye vakatonga mune rimwe remapurovhinzi muTafura 1. Dzidziso Yemaitiro She et al. [15] naHabich-Sobiegalla et al. [28] akashandisa masisitimu echikamu chakarongeka chezvinhu zvinotyaira kana kukanganisa kugamuchirwa kwemotokari yemagetsi nevatengi. Isu takachinjisa aya marongero nekuaishandura zvichibva pakuongorora kwedu emagetsi emidhudhudhu zvinyorwa pamutengi kugamuchirwa kwemagetsi emidhudhudhu. Isu takazviona muTafura 1. Tafura 1. Tsananguro uye Referensi yezvinhu uye Hunhu hweFekitori Kodhi Atrtibute Ref. SD1 Marital status [27], [28] SD2 Age SD3 Gender SD4 Dzidzo yekupedzisira SD5 Kugara Sociodemographic SD6 Mwero wekushandisa pamwedzi SD7 Mwedzi wega wega mari yemari SD8 Nhamba yevaridzi vemudhudhudhu SD9 Kakawanda yekugovana pasocial media SD10 Saizi yepamhepo pasocial network SD11 Kuziva nezvezvakatipoteredza Mari FI1 Mutengo wekutenga [29] FI2 Bhatiri mutengo [30] FI3 Kubhadharisa mutengo [31] FI4 Mari yekugadzirisa [32] Tekinoroji TE1 Mileage kugona [33] TE2 Simba [33] TE3 Nguva yekuchaja [33] TE4 Kuchengetedza [34] TE5 Hupenyu hwebhatiri [35] Macro-level ML1 Yekuchaja chiteshi kuwanikwa munzvimbo dzeruzhinji [36] ML2 Yekuchaja chiteshi kuwanikwa pabasa [15] ML3 Yekuchaja chiteshi kuwanikwa kumba [37] ML4 Sevhisi inowanika nzvimbo [38] ML5 Kutenga inokurudzira mutemo [15] ML6 Yegore mutero wekudzora mutero [15] ML7 Kubhadharisa mutengo wekudzikisira mutemo [15] Kugamuchira chinangwa IP Chinangwa chekushandisa [15] Sociodemographic Factor Sociodemographic factor zvinhu zvemunhu zvinochinja maitiro emunhu pakuita sarudzo. Eccarius et al. [28] vakataura pamhando yavo yekutora kuti zera, murume kana murume, chinzvimbo chemuchato, dzidzo, mari, basa, uye kuve nemotokari zvinhu zvakakosha zvinokanganisa kugamuchirwa kwemotokari yemagetsi. HabichSoebigalla et al vanojekesa masocial network zvinhu zvakaita sehuwandu hwevaridzi vemidhudhudhu, kuwanda kwekugovana pasocial media, uye saizi yepamhepo pasocial network zvive izvo zvinokonzeresa kugadziriswa kwemotokari yemagetsi [28]. Eccarius et al. [27] naHabichSobiegalla et al. [28] zvakare inofungidzirwa ruzivo rwezvakatipoteredza nderwevanhu vanogara munharaunda. Financial Factor Kutenga mutengo ndiwo mutengo wekutanga wemudhudhudhu wemagetsi pasina chero rubatsiro rwekutenga. Sierzchula et al. [29] akataura kuti iyo yakakwira mutengo wekutenga yemagetsi mota inokonzerwa neiyo yepamusoro bhatiri kugona. Bhatiri mutengo mutengo wekutsiva bhatiri kana iro rekare hupenyu hwebhatiri rapera. Krause et al. akaongorora kuti mutengo webhatiri ndewekudzivirira kwemari kune mumwe munhu kutora mota yemagetsi [30]. Kubhadharisa mutengo imubhadharo wemagetsi kumisikidza mudhudhudhu wemagetsi uchienzaniswa nemutengo wepeturu [31]. Mari yekuchengetedza inowanzo gadziridza mitengo yemidhudhudhu yemagetsi, kwete kugadzirisa nekuda kwetsaona inokanganisa kugadziriswa kwemotokari yemagetsi [32]. Unyanzvi hweTekinoroji Mileage kugona ndiko chinhambwe chakanyanya kurebesa mushure mekunge bhatiri remagetsi mudhudhudhu rakazara zvizere. Zhang et al. [33] akataura kuti mashandiro emota anoreva kuongorora kwevatengi pamota yemagetsi inosanganisira mileage kugona, simba, nguva yekuchaja, kuchengetedzeka, uye hupenyu hwebhatiri. Simba ndiko kukurumidza kumhanya kwemudhudhudhu wemagetsi. Kutengesa nguva inguva yakazara yekuchaja zvakazara mudhudhudhu wemagetsi. Kudzivirirwa kunzwa kana uchitasva mudhudhudhu wemagetsi une hukama neruzha (dB) ndizvo zvinhu zvinojekeswa naSovacool et al. [34] kuve zvinhu zvinokanganisa kuona kwevatengi pamotokari yemagetsi. Graham-Rowe et al. [35] akataura kuti hupenyu hwebhatiri hunofungidzirwa sehunoshoreka. Macro-level Factor Zvivakwa zvekuchaja chiteshi kuwanikwa chinhu chisingakwanise kudzivirirwa kune yemagetsi mudhudhudhu adopter. Kubhadharisa kuwanikwa munzvimbo dzeruzhinji kunoonekwa sekukosha kutsigira kutorwa kwemotokari yemagetsi [36]. Kubhadharisa kuwanikwa kubasa [15] uye kubhadharisa kuwanikwa pamba [37] zvakare kunodiwa nevatengi kuzadzisa bhatiri remota yavo. Krupa et al. [38] akataura kuti kuwanikwa kwenzvimbo dzekushandira kwenzvimbo yekugadzirisa nekukanganisa kuri kukanganisa kugamuchirwa kwemotokari yemagetsi. Iye et al. [15] yakaratidza zvimwe zvinokurudzira veruzhinji izvo zvinonyanya kudiwa nevatengi muTianjin sekupa rubatsiro rwekutenga midhudhudhu yemagetsi, mutero wegore negore wemidhudhudhu yemagetsi, uye kubhadharisa mutemo wezvemutengo kana vatengi vachida kuchaja mudhudhudhu wemagetsi munzvimbo dzeveruzhinji [15]. Ordinal Logistic Regression Ordinal logistic regression ndeimwe yenzira dzenhamba dzinotsanangura hukama pakati pechiyero chakatarisana nechimwe kana zvimwe zvinomiririra zvakasiyana, uko kusiyanisa kunoenderana kunopfuura zvikamu zviviri uye chiyero chekuyera chiri chikamu kana kuti ordinal [39]. Kuenzanisa 1 muenzaniso weodinal logistic regression uye Equation 2 inoratidza basa g (x) se logit equation. eegxgx P x () () 1 () + = (1) = = = + mkjk Xik gx 1 0 ()   (2) ZVINOGONESESA Uye KUKURUKURA Mubvunzo wemibvunzo wakapihwa online pamusi waMarch - Kubvumbi, 2020, kuburikidza nekubhadharwa Facebook Ads nekumisikidza firita nzvimbo: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra, uye Bali iyo yakasvika 21,288 vanoshandisa. Mhinduro dzese dzinouya dzaive mhinduro chiuru nemazana matatu nemakumi matatu nematatu, asi mhinduro gumi nemaviri chete dzakange dzakakodzera kugadziriswa kwedata. Tafura 2 inoratidza huwandu hwevakapindura. Zvinotsanangurwa Statistics Tafura 3 inoratidza inotsanangudza manhamba ehuwandu hwakawanda. Kubhadharisa mutengo wekudzikisira, mutero wepagore mutero, uye mutengo wekutenga mari ane huwandu hwepamusoro pakati pezvimwe zvinhu. Izvi zvinoratidza kuti vazhinji vakapindura vanofunga kuti pane mutemo wakapihwa nehurumende zvakanyanya wakakwanisa kuvakurudzira kutora midhudhudhu yemagetsi. Pazvinhu zvemari, mutengo wekutenga nemutengo webhatiri zvine mwero wepakati pakati pezvimwe zvinhu. Izvi zvinoratidza kuti mutengo wekutenga wemudhudhudhu wemagetsi uye bhatiri mutengo hazvina kukodzera nebhajeti revazhinji vakapindura. Vazhinji vakapindura vakafunga kuti mutengo wemudhudhudhu wemagetsi waive wakanyanya kudhura kana uchienzaniswa nemutengo wechinyakare mudhudhudhu. Mari yekutsiva yebheteri makore matatu ega ega inosvika IDR 5,000,000 inodhura zvakare fot vazhinji vakapindura kuitira kuti mutengo wekutenga uye mutengo webhatiri chipingamupinyi kuIndonesia kutora midhudhudhu yemagetsi. Hupenyu hwebhatiri, simba, kubhadharisa nguva zvine yakaderera avhareji mamaki mune zvinotsanangurwa manhamba asi avhareji zvibodzwa zvezvinhu izvi zvitatu zvinodarika 4. Nguva yekuchaja iyo yaitora maawa matatu yaive yakarebesa kune vakawanda vakapindura. Iyo yekumhanyisa kumhanyisa yemudhudhudhu wemagetsi ndeye 70 km / h uye ye3-gore bhatiri hupenyu hauna kusangana nezvinodiwa zvevakapindura. Izvi zvinoratidza kuti vazhinji vakapindura vanofunga mashandisiro emidhudhudhu emagetsi haana kusangana nematanho avo. Vakakwana vakapindura havana kuvimba zvizere nekuita kwemidhudhudhu emagetsi, EM inogona kusangana nezvinodiwa zvavo zvezuva nezuva zvekufamba. Vazhinji vakapindura vakapa zvibodzwa zvakawanda mukuwanikwa kwekuchaja mudzimba dzavo nemahofisi kupfuura munzvimbo dzeruzhinji. Zvisinei, chipingamupinyi chinowanzoonekwa ndechekuti simba remagetsi epamba richiri pazasi pe1300 VA, zvichiita kuti vanopindura vatarisire zvakasimba kuti hurumende igone kubatsira kupa zvivakwa zvekuchaja kumba. Iko kuwanikwa kwekuchaja muhofisi kunonyanya kudiwa kupfuura munzvimbo dzeveruzhinji nekuti kufamba kwevanopindura mazuva ese kunosanganisira dzimba nehofisi. Tafura 4 inoratidza mhinduro dzevakabvunzwa kugamuchirwa kwemidhudhudhu emagetsi. Zvinotaridza kuti 45,626% yevakabvunzwa vane chishuwo chakasimba chekushandisa mudhudhudhu wemagetsi. Mhedzisiro iyi inoratidza ramangwana rakajeka remugove wemagetsi mudhudhudhu pamusika. Tafura yechina inoratidzawo kuti vangangoita 55% yevakabvunzwa havana chido chakasimba chekushandisa mudhudhudhu wemagetsi. Mhedzisiro inonakidza kubva kuaya manhamba anotsanangura kuti kunyangwe kushingairira kushandisa midhudhudhu yemagetsi kuchiri kuda kukurudzira, kugamuchirwa kweruzhinji kwemidhudhudhu emagetsi kwakanaka. Chimwe chikonzero chingangoitika ndechekuti vakapindura vane chimiro chekumirira uye kuona kutorerwa kwemudhudhudhu wemagetsi kana kuti mumwe munhu anoshandisa mudhudhudhu wemagetsi kana kwete. Ordinal Logistic Regression Dhata iri kuita uye kuongorora kuti itore chinangwa chekutora chemudhudhudhu wemagetsi muIndonesia vachishandisa reginal logistic regression. Musiyano unoenderana nekutsvagisa uku kuda kushandisa mudhudhudhu wemagetsi (1: kusada zvakanyanya, 2: kusada, 3: kusahadzika, 4: kuda, 5: kuda kwazvo). Ordinal logistic regression yakasarudzwa senzira mune iyi tsvagurudzo nekuti iyo inomira musiyano inoshandisa odinal sikero. Dhata dzakagadziriswa kuchishandiswa SPSS 25 software ine chivimbo chikamu che95%. Multicollinearity bvunzo dzave kuitirwa kuverenga Variance inflation Factors (VIF) ine avhareji VIF ye1.115- 3.693, zvinoreva kuti hapana multicollinearity mune modhi. Pfungwa yekufungidzira inoshandiswa pakurongedzwa kwezvinhu inoratidzwa muTafura 5. Tafura 6 inoratidza mhedzisiro yekuyedza kuva hwaro hwekuramba kana kubvuma fungidziro yekudzokorodza maitiro. Tafura 2. Huwandu hweVanopindura Chiitiko Chevanhu Freq% Demographic Item Freq% Domicile West Java 345 28.2% Basa Remudzidzi 175 14.3% East Java 162 13.2% Vashandi veHurumende 88 7.2% Jakarta 192 15.7% Vashandirwi vega 415 33.9% Central Java 242 19.8% Entrepreneur 380 31.1% North Sumatera 74 6.1% Vamwe 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% Maodzanyemba Sumatera 51 4.2%> 60 3 0.2% Mamiriro ekuroora kana kuroorwa 370 30.3% Yekupedzisira Dzidzo Chikamu SMP / SMA / SMK 701 57.3% Vakaroora 844 69.0% Diploma 127 10.4% Vamwe 9 0.7% Bachelor 316 25.8% Gender Male 630 51.5% Master 68 5.6 % Mukadzi 593 48.5% Chiremba 11 0.9% Mwero wemari pamwedzi 0 154 12.6% Mwero wekushandisa pamwedzi <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 DR 20,000,000 23 1,9% Tafura 3. Dzinotsanangudza Statistics yeMari, Tekinoroji, uye Macro-chikamu Variable Avhareji Chinzvimbo Chinosiyana Avhareji Chinzvimbo ML7 (kuchaja mutengo disc.) 4.4563 1 ML3 (CS pamba) 4.1554 9 ML6 (wegore mutero disc. ) 4.4301 2 ML2 (CS kumabasa) 4.1055 10 ML5 (incentive incentive) 4.4146 3 ML1 (CS munzvimbo dzeruzhinji) 4.0965 11 TE4 (chengetedzo) 4.3181 4 TE5 (hupenyu hwebhatiri) 4.0924 12 FI3 (kubhadharisa mutengo) 4.2518 5 TE2 (simba ) 4.0597 13 TE1 (mileage kugona) 4.2396 6 TE3 (kuchaja nguva) 4.0303 14 ML4 (nzvimbo yebasa) 4.2142 7 FI1 (mutengo wekutenga) 3.8814 15 FI4 (mari yekuchengetedza) 4.1980 8 FI2 (bhatiri mutengo) 3.5045 16 Tafura 4. Tsananguro Statistics yeAdoption Chinangwa 1: kusanyatsoda 2: kusave nehanya 3: kusahadzika 4: kuda 5: kuda kwazvo Kuda kushandisa mudhudhudhu wemagetsi 0,327% sociodemographic zvinhu zvinoratidza mhedzisiro iyo chete kuwanda kwekugovana pa magariro enhau (SD9) uye nhanho yekunetseka kwezvakatipoteredza (SD11) zvine mhedzisiro pane chinangwa chemudhudhudhu wemagetsi muIndonesia. Iwo akakosha ehunhu ehunhu hwehunhu hwemamiriro ewanano ari 0,622 kune vasina uye 0.801 yevakaroora. Hunhu uhu hautsigire Hypothesis 1. Mamiriro emuchato haatungamiri zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi nekuti kukosha kwakakosha kunopfuura 0.05. Iko kukosha kwakakosha kwezera iri 0,47 kuitira kuti zera rirege kukurudzira zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kweiyo fungidziro yezera re -0.168 haitsigire Hypothesis 2. Chiratidzo chisina kunaka chinoreva kuti kukwirira zera, kudzikisa chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweiyo yemhando kusiyanisa, chechikadzi, (0.385) haitsigire Hypothesis 3. Gender haina zvakanyanya kukurudzira chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweiyo yekupedzisira nhanho yedzidzo (0.603) haitsigire Hypothesis 4. Saka, iyo yekupedzisira dzidzo haina zvakanyanya kukurudzira chinangwa chekutora yemagetsi mudhudhudhu. Iko kukosha kwekufungidzira kweiyo yekupedzisira nhanho yedzidzo ye0.036 zvinoreva chiratidzo chakanaka zvinoreva iyo yakakwira iyo nhanho yedzidzo iyo yepamusoro chinangwa chekutora mudhudhudhu wemagetsi. Kukosha kwakakosha kweiyo kusiyanisa kwehunhu hwebasa kwaive 0.487 yevadzidzi, 0.999 yevashandi vehurumende, 0.600 yevashandi vega, uye 0.480 kune vezvemabhizimusi vasingatsigire Hypothesis 5. Kubasa hakuite zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. UTAMI ET AL. / JOURNAL PAKUSARUDZA SYSTEMS KUMABHUKU - VOL. 19 HAPANA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 75 Tabher 5. Hypothesis Hypothesis Socio- H1: chinzvimbo chemuchato chine musimboti wakanaka pachinangwa chekutora mudhudhudhu wemagetsi. Demo- H2: zera rine hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. graphic H3: jenda rine hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H4: yekupedzisira nhanho yedzidzo ine yakanaka yakanaka mhedzisiro pane chinangwa chekutora yemagetsi mudhudhudhu. H5: basa rine hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H6: pamwero wekushandisa pamwedzi une hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H7: mwero wemari pamwedzi une chakakosha chiitiko pachinangwa chekutora mudhudhudhu wemagetsi. H8: huwandu hwevaridzi vemudhudhudhu une hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H9: kuwanda kwekugovana pasocial media kune chakakosha musimba pachinangwa chekutora mudhudhudhu wemagetsi. H10: saizi yepamhepo pasocial network ine hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H11: Kuziva nezvezvakatipoteredza kune mhedzisiro yakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. Mari H12: mutengo wekutenga une hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H13: bhatiri mutengo une chakakosha chiitiko pane chinangwa chekutora mudhudhudhu wemagetsi. H14: kubhadharisa mutengo kune chakakosha musimba pachinangwa chekutora mudhudhudhu wemagetsi. H15: mari yekuchengetedza ine hunhu hunokosha pane chinangwa chekutora mudhudhudhu wemagetsi. H16: mileage kugona ine yakanaka yakanaka mhedzisiro pane chinangwa chekutora yemagetsi mudhudhudhu. H17: simba rine chakakosha chiitiko pane chinangwa chekutora mudhudhudhu wemagetsi. Techno- H18: kubhadharisa nguva kune yakakosha mhedzisiro pachinangwa chekutora mudhudhudhu wemagetsi. zvine musoro H19: chengetedzo ine hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H20: Hupenyu hwebhatiri hune hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H21: kuwanikwa kwenzvimbo dzekuchaja chiteshi munzvimbo dzeruzhinji kune chakakosha chiitiko pachinangwa chekutora mudhudhudhu wemagetsi. H22: Kuwanikwa kwechaji chiteshi zvigadzirwa pabasa zvine mhedzisiro yakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. Macrolevel H23: Kuwanikwa kwechaji chiteshi zvigadzirwa pamba zvine hutano hwakanaka pane chinangwa chekutora mudhudhudhu wemagetsi. H24: nzvimbo dzekushandira kuwanikwa kunobatsira kuita chinangwa chekutora mudhudhudhu wemagetsi. H25: mutemo wekutenga wekutenga une hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H26: mutemo wepagore wekudzora mutero une hunhu hwakakosha pane chinangwa chekutora mudhudhudhu wemagetsi. H27: kubhadharisa mutengo wekudzora mutengo kune chinhu chakakosha kuita pachinangwa chekutora mudhudhudhu wemagetsi. Tafura 6. 0.385 TE5 0,068 0.765 SD3: mukadzi 0 ML1 -0.127 0.022 * SD5: vadzidzi -0.195 0.487 ML2 0.309 0.000 * SD5: civ. serv 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: vamwe 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 0.013 040 0 0 0 0 0 0 0 0 0 0 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 * ML 0,04 0,04 0,04 0,04 0,04 0,04 0,09 0 0 0 0 0 0 0 0 0 0 0 0 chivimbo chepamusoro Kukosha kwakakosha kweiyo pamwedzi yekushandisa (0,069) haitsigire Hypothesis 6, mwero wekushandisa pamwedzi haukanganise zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kweye pamwedzi yekushandisa mwero we0.2227, chiratidzo chakanakira chinoreva iyo yakakwira iyo mwero wemwedzi wekushandisa mari iyo yakakwira chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kweiyo pamwedzi mari yemari (0.726) haitsigire Hypothesis 7, mwero wemari pamwedzi haukanganise zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kweinowanikwa pamwedzi mwero iri 0,032, chiratidzo chakanaka zvinoreva kuti iyo yakakwira iyo mwero wemari yemwedzi inowedzera icho chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweiyo nhamba yevaridzi vemudhudhudhu (0.161) haitsigire Hypothesis 8, huwandu hwevaridzi vemudhudhudhu hahukoshe zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kweiyo mwero wevaridzi vemudhudhudhu i0.180, chiratidzo chakanakira chinoreva kuwanda kwenhamba yemidhudhudhu, zvinowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwehuwandu hwekugovana pasocial media (0.013) inotsigira Hypothesis 9, kuwanda kwekugovana pasocial media kune chakakosha kuita kuchinangwa chekutora mudhudhudhu wemagetsi nekuti kukosha kwakakosha kuri pasi pe0.05. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 HAPANA. 1 (2020) 70-81 76 Utami uye al. DOI: 10.25077 / josi.v19. mudhudhudhu. Kukosha kwakakosha kwehukuru hwepamhepo pasocial network (0.765) haitsigire Hypothesis 10, saizi yekusvika kwenzvimbo yekutandarira haina kukanganisa zvakanyanya chinangwa chekutora mudhudhudhu. Iko kukosha kwekufungidzira kwehuwandu hwevanhu vasvika pasocial network iri 0,016, chiratidzo chakanaka chinoreva iyo yakakwira saizi yemasocial media network iyo yakakwira chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kweiyo nhanho yekuziva nezvezvakatipoteredza (0.022) inotsigira Hypothesis 11, iyo nhanho yekunetseka kwezvakatipoteredza ine mhedzisiro pane chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kweiyo nhanho yekuziva nezvezvakatipoteredza iri 0.226, chiratidzo chakanaka zvinoreva kuti iyo yakakwira iyo nhanho yekunetseka kwezvakatipoteredza munhu anayo, inowedzerawo chinangwa chekutora mudhudhudhu wemagetsi. Mhedzisiro yekugadziriswa kwekudzokororwa kwezvinhu zvine mutsindo FI1 kusvika kuFI4 zvinova zvemamiriro ezvinhu zvemari zvinoratidza mhedzisiro yekuti mutengo wekutenga (FI1) nemitengo yekuchengetedza (FI4) zvine simba zvakanyanya kuchinangwa chemudhudhudhu wemagetsi muIndonesia. Iko kukosha kwakakosha kwemutengo wekutenga (0.00) inotsigira Hypothesis 12, mutengo wekutenga une chakakosha kuita kuchinangwa chekutora mudhudhudhu wemagetsi.Iko kukosha kwekufungidzira kwemutengo wekutenga i0.348, chiratidzo chakanaka zvinoreva kuti iyo inonyanya kukoshesa mutengo wekutenga wemudhudhudhu wemagetsi kune mumwe munhu, zvinowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweye bhatiri mutengo (0.355) haitsigire Hypothesis 13, bhatiri mutengo harikurudziri zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kwekuchaja mutengo (0.109) haitsigire Hypothesis 14, kubhadharisa mutengo hakuna chakakosha mhedzisiro yekutora mudhudhudhu wemagetsi. Iko kukosha kweyekufungidzira yemutengo wekuchaja i0.136, chiratidzo chakanaka zvinoreva kuti zvakanyanya kukosha mutengo wekuchaja mudhudhudhu wemagetsi kune mumwe munhu, zvinowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kwekuchengetedza mitengo (0.017) haitsigire Hypothesis 15, mari yekuchengetedza ine mhedzisiro pane chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kweyemari yekuchengetedza iri 0.193, chiratidzo chakanaka chinoreva kuti iyo inokodzera zvakanyanya mutengo wekugadzirisa mudhudhudhu wemagetsi kune mumwe munhu, zvinowedzera chinangwa chekutora mudhudhudhu wemagetsi. Mhedzisiro yeiyo logistic regression ongororo yemisiyano TE1 kubudikidza neTE5 inova yezvinhu zvetekinoroji inoratidza mhedzisiro yekuti nguva yekuchaja bhatiri (TE3) inechinhu chakakura pane chinangwa chekutora chemudhudhudhu wemagetsi muIndonesia. Iyo yakakosha kukosha kweiyo mileage kugona (0.107) haitsigire Hypothesis 16, mileage kugona haina chakakosha mhedzisiro yechinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kune yakakwira mileage ndeye 0.146, chiratidzo chakanaka chinoreva kuti iyo inokodzera zvakanyanya mamaira epamusoro emudhudhudhu wemagetsi kune mumwe munhu, iyo inowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kwesimba rakazvimiririra rinoshanduka kana rakanyanya kumhanya (0.052) haitsigire Hypothesis 17, kumhanya kwakanyanya hakukanganise zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwesimate kwesimba kana kumhanyisa kumhanya iri 0.167, chiratidzo chakanaka chinoreva kuti iyo inokodzera zvakanyanya kumhanyisa kumhanya kwemudhudhudhu wemagetsi kumunhu, inowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwekuchaja nguva (0.004) inotsigira Hypothesis 18, nguva yekuchaja ine mhedzisiro pane chinangwa chekutora mudhudhudhu wemagetsi. Iyo inofungidzirwa kukosha kwekuchaja nguva iri 0,240, chiratidzo chakanaka chinoreva kuti iyo inokodzera zvakanyanya kumhanyisa kumhanya kwemudhudhudhu wemagetsi kune mumwe munhu, iyo inowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kwechengetedzo (0.962) haitsigire Hypothesis 19, kuchengetedzeka hakuite zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kwekuchengeteka -0.005, chiratidzo chisina kunaka chinoreva kuti kana munhu akachengeteka zvakanyanya achinzwa achishandisa mudhudhudhu wemagetsi, zvakadzika chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwehupenyu hwebhatiri (0.424) haitsigire Hypothesis 20, hupenyu hwebhatiri hauna hunyanzvi pane chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kweiyo fungidziro yehupenyu hwebhatiri i0.068, chiratidzo chakanaka zvinoreva kuti zvakanyanya kukosha nguva yeupenyu hwemagetsi emudhudhudhu bhatiri, zvinowedzera chinangwa chekutora mudhudhudhu wemagetsi. Mhedzisiro yekugadziriswa kwekudzokororwa kwezvinhu zvakasiyana ML1 kusvika ML7 zvinova zvemacro-level zvinhu zvinoratidza mhedzisiro dzinongochaja kuwanikwa munzvimbo yebasa (ML2), kubhadharisa kuwanikwa munzvimbo yekugara (ML3), uye kubhadharisa mutengo wekudzora mutengo (ML7) izvo zvine mhedzisiro pane kugamuchirwa kwechinangwa chemudhudhudhu wemagetsi muIndonesia. Iko kukosha kwakakosha kwekuwanikwa kwekuchaja munzvimbo dzeruzhinji (0.254) hakutsigire Hypothesis 21, kuchaja kuwanikwa munzvimbo dzeruzhinji hakuite zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwekuwanika kwekuchaja kubasa (0.007) inotsigira Hypothesis 22, kuchaja kuwanikwa panzvimbo yebasa kune chakakosha kuita kuchinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwekuwanikwa kwekuchaja pamba (0.009) inotsigira Hypothesis 22, kuwanikwa kwekuchaja pamba kune chakakosha mhedzisiro yekutora mudhudhudhu. Iyo yakakosha kukosha kwekuwanikwa kwenzvimbo dzebasa (0.181) haitsigire Hypothesis 24, kuwanikwa kwenzvimbo dzebasa hakuna chakakonzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweiyo yekutenga yekukurudzira mutemo (0.017) inotsigira Hypothesis 25, kutenga incentive mutemo kune zvakakosha kuita kuchinangwa chekutora yemagetsi mudhudhudhu. Iko kukosha kwakakosha kwemutero wepagore wekudzora mutero (0.672) haitsigire Hypothesis 26, yegore mutero mutero wekukurudzira mutemo hauna mhedzisiro pane chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweyekuchaja mutengo wekudzora mutemo (0.00) inotsigira Hypothesis 27, iyo yekuchaja mutengo wekudzora inokurudzira mutemo ine chakakosha mhedzisiro pachinangwa chekutora mudhudhudhu wemagetsi. Zvinoenderana nemhedzisiro kubva kumacro-level chinhu, kugadziriswa kwemudhudhudhu wemagetsi kunogona kuzikanwa kana chiteshi chechaji munzvimbo yebasa, chiteshi chepamusha pekugara, uye kubhadharisa mutengo wekudzora mutengo vakagadzirira kuwana nevatengi. Pakazara, kuwanda kwekugovana pasocial media, danho rekuziva nezvezvakatipoteredza, mitengo yekutenga, mari yekugadzirisa, kumhanya kwakanyanya kwemidhudhudhu yemagetsi, nguva yekuchaja bhatiri, kuwanikwa kwenzvimbo dzekuchaja chiteshi pabasa, kuwanikwa kwesimba remba based - kuchaja zvivakwa, UTAMI ET AL. / JOURNAL PAKUSARUDZA SYSTEMS KUMABHUKU - VOL. 19 HAPANA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 77 kutenga incentive marongero, uye kubhadharisa mutengo mutengo wekusimudzira marongero ari kukurudzira zvakanyanya chinangwa chekutora mota dzemagetsi. Equation Muenzaniso uye Pamwe Basa Rekuenzanisa  =  = + 27 1 01 (1 |) kg Y Xn   k Xik (3) Kuenzanisa 4 chienzanidzo cherogi yesarudzo yemhinduro "isingade" kutora mudhudhudhu wemagetsi.  =  = + 27 1 02 (2 |) kg Y Xn   k Xik (4) Enquation 5 inongedzo ye equit yesarudzo yemhinduro "kusahadzika" yekutora mudhudhudhu wemagetsi.  =  = + 27 1 03 (3 |) kg Y Xn   k Xik (5) Kuenzanisa 6 inhamba ye logit yemhinduro sarudzo "inoda" kutora mudhudhudhu wemagetsi.  =  = + 27 1 04 (4 |) kg Y Xn   k Xik (6) Zvichida mabasa ekugashira chinangwa madhudhudhu emagetsi anoratidzwa muEquation 7 kusvika kuEquation 11. Kuenzanisa 7 ibasa rekugona sarudzo yesarudzo yemhinduro " vasingadi zvachose ”kutora mudhudhudhu wemagetsi. eenng YX g YXP Xn PY Xn (1 |) (1 |) 1 1 () (1 |)   + = =  (7) Kuenzanisa 8 ndiko kuita kwekugona kwesarudzo yemhinduro "isingade" kutora motokari yemagetsi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (1 |) (1 |) (2 |) (2 |) 2 1 1 (2 |) (1 |) () (2 |)     + - + = =  -  = = (8) Kuenzanisa 9 ibasa rekugona kusarudzwa kwemhinduro "kusahadzika" kutora mudhudhudhu wemagetsi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (2 |) (2 |) (3 |) (3 |) 3 1 1 (3 |) (2 |) () (3 |)     + - + = =  -  = = (9) Kuenzanisa 10 ibasa rekugona kusarudzika kwemhinduro "inoda" kutora mudhudhudhu wemagetsi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (3 |) (3 |) (4 |) (4 |) 4 1 1 (4 |) (3 |) () (4 |)     + - + = =  -  = = (10) Kuenzanisa 11 ibasa rekugona kusarudzwa kwemhinduro "uchida kwazvo" kutora mudhudhudhu wemagetsi. eenng YX g YX nnn PYXPXPYX (4 |) (4 |) 5 1 1 1 (4 |) () (5 |)  = = = = = yakashandiswa kumuenzaniso wevakapindura mhinduro. Tafura 8 inoratidza hunhu nemhinduro zvemuenzaniso. Saka mukana wekupindura chiero chega chega pane musiyano unoenderana unoverengwa zvichibva paEquation 7 - 11. Muenzaniso wevakabvunzwa vane mhinduro sezvakaratidzwa muTafura 7 vane mukana we0.0013 wekusada kushandisa mudhudhudhu wemagetsi, mukana we0.0114 yekusada kushandisa mudhudhudhu wemagetsi, mukana wekuti 0.1788 wekusahadzika kushandisa mudhudhudhu wemagetsi, mukana we0.563 kuda kushandisa mudhudhudhu wemagetsi, uye mukana we0,2455 kunyatsoda kushandisa mudhudhudhu wemagetsi. Mukana wekutorera mudhudhudhu wemagetsi kune 1,223 vakapindura akaverengerwa uye huwandu hwepakati yemhinduro dzekusanyatsoda kushandisa mudhudhudhu wemagetsi yaive 0.0031, vasingade kushandisa mudhudhudhu wemagetsi yaive 0.0198, kusahadzika kushandisa mudhudhudhu wemagetsi yaive 0.1482, ichida kushandisa motokari yemagetsi yaive 0.3410, uye ichinyatsoda kushandisa mudhudhudhu wemagetsi yaive 0.4880. Kana mukana wekuda uye wakanyatsoda wakazara, mukana wevaIndonesia wekutora midhudhudhu yemagetsi unosvika 82.90%. Kurudziro yeVamabhizinesi neveParamende Vagadziri Muiyo ordinal logistic regression ongororo, kuwanda kwekugovana pasocial media chinhu chakakosha chinokanganisa chinangwa chekutora mudhudhudhu wemagetsi. Kukosha kwemasocial media seplatifomu yeruzhinji kuti vawane ruzivo nezve midhudhudhu yemagetsi kunokanganisa kuda kutora midhudhudhu yemagetsi. Hurumende nevamabhizimusi vanogona kuyedza kushandisa zviwanikwa izvi, semuenzaniso, vanamuzvinabhizimusi vanogona kusimudzira kuburikidza nemabhonasi kana kukoshesa vatengi vakatenga midhudhudhu yemagetsi uye vanogovana zvinhu zvakanaka zvine chekuita nemidhudhudhu yemagetsi pasocial media yavo. Iyi nzira inogona kukurudzira vamwe kuve mushandisi mutsva wemudhudhudhu wemagetsi. Hurumende inogona kushamwaridzana kana kuunza midhudhudhu yemagetsi kuruzhinji kuburikidza nevezvenhau kukurudzira veruzhinji kuchinja kubva kune zvakajairika mudhudhudhu kuenda kumagetsi mudhudhudhu. Uku kutsvagurudza kunoratidza kukosha kwesimba remacro-level zvinhu pakubvumidzwa kwemidhudhudhu emagetsi muIndonesia. Mune ordinal logistic regression ongororo, kuchaja chiteshi zvigadzirwa munzvimbo yebasa, kuchaja chiteshi kwezvivakwa pamba, mutemo wekutenga wekusimudzira, uye mutengo wekuchaja mutengo unokanganisa zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 HAPANA. 1 (2020) 70-81 78 Utami uye al. DOI: 10.25077 / josi.v19.n1.p70-81.2020 Tafura 7 mwero wekushandisa Rp2.000.000-5.999.999 X6 2 Mwedzi wega wega mari yekuwana Rp. 6.000. Mari yebhatiri 3 X13 3 Yekuchaja mutengo 3 X13 3 Yekugadzirisa inodhura 5 X14 5 Mileage kugona 4 X15 4 Simba 5 X16 5. Nguva yekuchaja 4 X17 4 Kudzivirira 5 X18 5 Hupenyu hwebhatiri 4 X19 4 Yekuchaja chiteshi kuwanikwa munzvimbo dzeveruzhinji 4 X20 4 Yechaji yekuchaja chiteshi. kubasa 4 X21 4 Yekuchaja chiteshi kuwanikwa pamba 4 X22 4 Nzvimbo dzekushandira kuwanikwa 2 X23 2 Purchase incentive policy 5 X24 5 Pagore mutero wekutepfenyura 5 X25 5 Yekubhadharisa mutengo wekudzora mutemo. kugona 5 X14 5 Simba 4 X15 4 Nguva yekuchaja 5 X16 5 Vazhinji vakapindura vanofunga kubhadharisa chiteshi kwezvivakwa pamba, nzvimbo dzekushandira nenzvimbo dzeveruzhinji sezvo zvichikurudzira kugamuchirwa kwemidhudhudhu yemagetsi. Hurumende inogona kuronga kuiswa kwenzvimbo dzekuchaja chiteshi munzvimbo dzeveruzhinji kutsigira kutorwa kwemidhudhudhu emagetsi. Hurumende inogona zvakare kushanda pamwe nevemabhizimusi chikamu kuti vazive izvi. Mukuvaka macro-level zviratidzo, iyi tsvagurudzo inokurudzira akati wandei ekukurudzira sarudzo sarudzo. Iwo akakosha kukurudzira marongero maererano neongororo ndezvekutenga marongero emitemo uye kubhadharisa mutengo wemitero yemitero inogona kutariswa nehurumende kutsigira kugamuchirwa kwemidhudhudhu yemagetsi muIndonesia. Pazvinhu zvemari, mutengo wekutenga une chakakosha mhedzisiro pachinangwa chekutenga mudhudhudhu wemagetsi. Ichi ndicho chikonzero nei kurudziro yemubhadharo wekutenga iri kukanganisa zvakanyanya chinangwa chekutora. Iyo yakachipa yekugadzirisa mutengo wemagetsi midhudhudhu pane zvakajairika midhudhudhu zvinokanganisa zvakanyanya kugamuchirwa kwechinangwa chemudhudhudhu wemagetsi. Naizvozvo kuwanikwa kwemasevhisi anosangana nezvinodiwa nevatengi kucharamba kuchikurudzira chinangwa chekutora midhudhudhu yemagetsi nekuti vashandisi vazhinji havazive zvinhu zviri mumidhudhudhu yemagetsi saka vanoda nyanzvi dzehunyanzvi kana paine zvimwe zvinokuvadza. Iko mashandiro emidhudhudhu emagetsi asangana nezvinodiwa nevatengi kuti vasangane nekufamba kwavo kwemazuva ese. Iyo yekumhanyisa kumhanya yemagetsi mudhudhudhu uye nguva yekuchaja anokwanisa kusangana nemipimo inodiwa nevatengi. Nekudaro, zvirinani mashandiro emudhudhudhu senge kuwedzerwa kuchengetedzeka, hupenyu hwebhatiri, uye imwe mileage inowedzera zvirokwazvo chinangwa chekutora mudhudhudhu wemagetsi. Pamusoro pekuwedzera tekinoroji kudyara, hurumende nemabhizimusi vanofanirwa kuvandudzawo chengetedzo uye kuvimbika maitiro ekuongorora emidhudhudhu emagetsi kuwedzera kuvimba kwevanhu. Kune mabhizinesi, kusimudzira mhando uye mashandiro ndeimwe yenzira dzinoshanda dzekuwedzera kushingairira kwevatengi midhudhudhu yemagetsi. Vatengi avo vari vadiki uye vane yakakwira nhanho yedzidzo vanogona kutariswa sevatorwa vekutanga kuti vaite zvinokanganisa nekuti ivo vagara vaine tarisiro yekutarisira uye vane hupamhi hwakawanda. Chikamu cheMusika chinogona kuwanikwa nekutangisa chaiwo mamodheru evatengi vatengi. Uye zvakare, vakapindura vane ruzivo rwepamusoro rwezvakatipoteredza vangave vangangoda kutora midhudhudhu. UTAMI ET AL. / JOURNAL PAKUSARUDZA SYSTEMS KUMABHUKU - VOL. 19 HAPANA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 79 Mhedziso Kuchinja kubva pamudhudhudhu wenguva dzose kuenda kumudhudhudhu wemagetsi kunogona kuva mhinduro yakanakisa yekukunda dambudziko rematanho epamusoro eEC2 muIndonesia. Hurumende yeIndonesia yakazivawo uye yakapindira nekumisikidza marongero akasiyana siyana maererano nemotokari dzemagetsi muIndonesia. Asi muchokwadi, kutorwa kwemotokari dzemagetsi muIndonesia kuchiri padanho rekutanga kunyangwe kure nezvinangwa zvakaisirwa nehurumende. Izvo zvakatipoteredza hazvitsigire kubvumidzwa kwemudhudhudhu wemagetsi senge pasina mimwe mirau yakadzama uye kushomeka kwekutsigira zvivakwa zvichikonzera kugamuchirwa kwakaderera kwemotokari dzemagetsi muIndonesia. Tsvagurudzo iyi yakaongorora vakapindura 1,223 kubva kumatunhu gumi ayo aive ne80% yehuwandu hwekutengeswa kwemidhudhudhu muIndonesia kuti vaongorore zvinhu zvakakanganisa zvinangwa zvekutora midhudhudhu yemagetsi muIndonesia uye vawane mikana yemabasa. Kunyangwe ruzhinji rwevanopindura vanofarira nezve midhudhudhu yemagetsi uye vachida kuve nemudhudhudhu wemagetsi mune ramangwana, kufarira kwavo kutora mudhudhudhu wemagetsi mazuva ano kwakadzikira. Vakapindura havadi kushandisa midhudhudhu yemagetsi panguva ino nekuda kwezvikonzero zvakasiyana sekushaikwa kwezvivakwa nemitemo. Vazhinji vakapindura vane chimiro chekumirira uye kutarisa kune kubvumidzwa kwemudhudhudhu wemagetsi, ine zvemari zvinhu, zvigadzirwa zvetekinoroji, uye macro-mazinga ayo anofanirwa kunge ari kuteedzera zvinodiwa nevatengi. Uku kutsvagurudza kunoratidza kuti yakakosha sei nguva yekugovana pasocial media, danho rekuziva nezvezvakatipoteredza, mitengo yekutenga, mari yekugadzirisa, kumhanya kwakanyanya kwemidhudhudhu yemagetsi, nguva yekuchaja bhatiri, kuwanikwa kwenzvimbo dzekuchaja chiteshi pabasa, kuwanikwa kwekuchaja dzimba dzekuvakisa, kutenga marongedzero marongero, uye kubhadharisa mutengo mutengo wekurudziro marongero ari mukutsigira kutorwa kwemidhudhudhu emagetsi muIndonesia. Hurumende inofanirwa kutsigira kuwanikwa kwenzvimbo dzekuchaja chiteshi uye kukurudzira marongero emitemo kuti ikurumidze kugamuchirwa kwemidhudhudhu yemagetsi muIndonesia. Zvinhu zvehunyanzvi senge mileage uye hupenyu hwebhatiri zvinoda kutariswa nevarimi kuti vavandudzwe kutsigira kugamuchirwa kwemidhudhudhu yemagetsi. Zvemari zvinhu zvakaita sekutenga mitengo uye bhatiri zvinodhura zvinofanirwa kuve zvekunetsa kumabhizinesi nehurumende. 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Chikamu A: Mutemo Unoshanda., Vol. 64, mapeji 14-31, 2014. https://doi.org/10.1016/j.tra.2014.02.019. [39] DW Hosmer na S. Lemeshow, "Zvakashandisirwa Kudzora Kwezvinhu. Yechipiri Edition ”, New York: John Willey & Sons, 2000. https://doi.org/10.1002/0471722146. NOMENCLATURE j zvinoenderana nemhando dzakasiyana (j = 1, 2, 3, 4, 5) k dzakazvimiririra dzakasiyana zvikamu (k = 1, 2, 3,…, m) i hunhu hwakazvimiririra hwakasiyana zvikamu n rondedzero yevakapindura β0j vanogamuchira mhinduro yega yega kusiyanisa Xk kuwanda kwakazvimiririra kwakasiyana Xik quanlitative yakazvimirira kusiana Y inoenderana Pj (Xn) mukana wechikamu chega chega chekuzvimiririra chakasarudzika kune mumwe nemumwe anopindura VANYORI BHAIBHERI Martha Widhi Dela Utami Martha Widhi Dela Utami mudzidzi wepasiridzo weIndasitiri Injiniya Dhipatimendi reUniversitas Sebelas Maret. Iye ndeweLogistics uye Bhizinesi System Laboratory. Tsvagurudzo dzake ndedzekushandisa & manejimendi cheni yekutsvagisa uye kutsvagisa kwemusika. Akaburitsa bhuku rake rekutanga nezve ongororo yevatengi yekuona yemotokari yemagetsi muIndonesia muna 2019. Yuniaristanto Yuniaristanto mudzidzisi uye muongorori muDepartement of Industrial Engineering, Universitas Sebelas Maret. Zvekutsvagisa kwake ndeyekupa cheni, kuenzanisa modelling, kuyera kwekuita uye kushambadzira kwetekinoroji. Iye ane zvinyorwa zvinonongedzwa neScopus, makumi mana neshanu zvinyorwa zvine 4 H-index. Email yake ndeyuniaristanto@ft.uns.ac.id. Wahyudi Sutopo Wahyudi Sutopo, akabata degree reinjiniya (Ir) kubva kuChirongwa Chekudzidza cheUnyanzvi Injiniya - Universitas Sebelas Maret (UNS) pa2019.Akawana Doctorate yake mumunda weInternet Engineering uye Management kubva kuInstitut Teknologi Bandung (ITB) ku 2011, Master weSainzi muManagement kubva kuUniversitas Indonesia muna 2004 uye Bachelor yeUinjiniya muindasitiri Injiniya kubva kuITB muna1999. Zvido zvake zvekutsvaga ndezvokutenga zvinhu, hupfumi hweinjiniya & kuongororwa kwemitengo, uye kushambadzira kwetekinoroji. Akawana mari dzinopfuura makumi matatu dzekutsvagisa. Ane zvinyorwa zvakanyorerwa Scopus, 117 zvinyorwa zvine 7 H-index. Email yake ndeye wahyudisutopo@staff.uns.ac.id.Mhedzisiro yeiyo logistic regression ongororo yemisiyano TE1 kubudikidza neTE5 inova yezvinhu zvetekinoroji inoratidza mhedzisiro yekuti nguva yekuchaja bhatiri (TE3) inechinhu chakakura pane chinangwa chekutora chemudhudhudhu wemagetsi muIndonesia. Iyo yakakosha kukosha kweiyo mileage kugona (0.107) haitsigire Hypothesis 16, mileage kugona haina chakakosha mhedzisiro yechinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kune yakakwira mileage ndeye 0.146, chiratidzo chakanaka chinoreva kuti iyo inokodzera zvakanyanya mamaira epamusoro emudhudhudhu wemagetsi kune mumwe munhu, iyo inowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kwesimba rakazvimiririra rinoshanduka kana rakanyanya kumhanya (0.052) haitsigire Hypothesis 17, kumhanya kwakanyanya hakukanganise zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwesimate kwesimba kana kumhanyisa kumhanya iri 0.167, chiratidzo chakanaka chinoreva kuti iyo inokodzera zvakanyanya kumhanyisa kumhanya kwemudhudhudhu wemagetsi kumunhu, inowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwekuchaja nguva (0.004) inotsigira Hypothesis 18, nguva yekuchaja ine mhedzisiro pane chinangwa chekutora mudhudhudhu wemagetsi. Iyo inofungidzirwa kukosha kwekuchaja nguva iri 0,240, chiratidzo chakanaka chinoreva kuti iyo inokodzera zvakanyanya kumhanyisa kumhanya kwemudhudhudhu wemagetsi kune mumwe munhu, iyo inowedzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kwechengetedzo (0.962) haitsigire Hypothesis 19, kuchengetedzeka hakuite zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwekufungidzira kwekuchengeteka -0.005, chiratidzo chisina kunaka chinoreva kuti kana munhu akachengeteka zvakanyanya achinzwa achishandisa mudhudhudhu wemagetsi, zvakadzika chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwehupenyu hwebhatiri (0.424) haitsigire Hypothesis 20, hupenyu hwebhatiri hauna hunyanzvi pane chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kweiyo fungidziro yehupenyu hwebhatiri i0.068, chiratidzo chakanaka zvinoreva kuti zvakanyanya kukosha nguva yeupenyu hwemagetsi emudhudhudhu bhatiri, zvinowedzera chinangwa chekutora mudhudhudhu wemagetsi. Mhedzisiro yekugadziriswa kwekudzokororwa kwezvinhu zvakasiyana ML1 kusvika ML7 zvinova zvemacro-level zvinhu zvinoratidza mhedzisiro dzinongochaja kuwanikwa munzvimbo yebasa (ML2), kubhadharisa kuwanikwa munzvimbo yekugara (ML3), uye kubhadharisa mutengo wekudzora mutengo (ML7) izvo zvine mhedzisiro pane kugamuchirwa kwechinangwa chemudhudhudhu wemagetsi muIndonesia. Iko kukosha kwakakosha kwekuwanikwa kwekuchaja munzvimbo dzeruzhinji (0.254) hakutsigire Hypothesis 21, kuchaja kuwanikwa munzvimbo dzeruzhinji hakuite zvakanyanya chinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwekuwanika kwekuchaja kubasa (0.007) inotsigira Hypothesis 22, kuchaja kuwanikwa panzvimbo yebasa kune chakakosha kuita kuchinangwa chekutora mudhudhudhu wemagetsi. Iko kukosha kwakakosha kwekuwanikwa kwekuchaja pamba (0.009) inotsigira Hypothesis 22, kuwanikwa kwekuchaja pamba kune chakakosha mhedzisiro yekutora mudhudhudhu. Iyo yakakosha kukosha kwekuwanikwa kwenzvimbo dzebasa (0.181) haitsigire Hypothesis 24, kuwanikwa kwenzvimbo dzebasa hakuna chakakonzera chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweiyo yekutenga yekukurudzira mutemo (0.017) inotsigira Hypothesis 25, kutenga incentive mutemo kune zvakakosha kuita kuchinangwa chekutora yemagetsi mudhudhudhu. Iko kukosha kwakakosha kwemutero wepagore wekudzora mutero (0.672) haitsigire Hypothesis 26, yegore mutero mutero wekukurudzira mutemo hauna mhedzisiro pane chinangwa chekutora mudhudhudhu wemagetsi. Iyo yakakosha kukosha kweyekuchaja mutengo wekudzora mutemo (0.00) inotsigira Hypothesis 27, iyo yekuchaja mutengo wekudzora inokurudzira mutemo ine chakakosha mhedzisiro pachinangwa chekutora mudhudhudhu wemagetsi. Zvinoenderana nemhedzisiro kubva kumacro-level chinhu, kugadziriswa kwemudhudhudhu wemagetsi kunogona kuzikanwa kana chiteshi chechaji munzvimbo yebasa, chiteshi chepamusha pekugara, uye kubhadharisa mutengo wekudzora mutengo vakagadzirira kuwana nevatengi. Pakazara, kuwanda kwekugovana pasocial media, danho rekuziva nezvezvakatipoteredza, mitengo yekutenga, mari yekugadzirisa, kumhanya kwakanyanya kwemidhudhudhu yemagetsi, nguva yekuchaja bhatiri, kuwanikwa kwenzvimbo dzekuchaja chiteshi pabasa, kuwanikwa kwesimba remba based - kuchaja zvivakwa, UTAMI ET AL. / JOURNAL PAKUSARUDZA SYSTEMS KUMABHUKU - VOL. 19 HAPANA. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 77 kutenga incentive marongero, uye kubhadharisa mutengo mutengo wekusimudzira marongero ari kukurudzira zvakanyanya chinangwa chekutora mota dzemagetsi. Equation Muenzaniso uye Pamwe Basa Rekuenzanisa  =  = + 27 1 01 (1 |) kg Y Xn   k Xik (3) Kuenzanisa 4 chienzanidzo cherogi yesarudzo yemhinduro "isingade" kutora mudhudhudhu wemagetsi.  =  = + 27 1 02 (2 |) kg Y Xn   k Xik (4) Enquation 5 inongedzo ye equit yesarudzo yemhinduro "kusahadzika" yekutora mudhudhudhu wemagetsi.  =  = + 27 1 03 (3 |) kg Y Xn   k Xik (5) Kuenzanisa 6 inhamba ye logit yemhinduro sarudzo "inoda" kutora mudhudhudhu wemagetsi.  =  = + 27 1 04 (4 |) kg Y Xn   k Xik (6) Zvichida mabasa ekugashira chinangwa madhudhudhu emagetsi anoratidzwa muEquation 7 kusvika kuEquation 11. Kuenzanisa 7 ibasa rekugona sarudzo yesarudzo yemhinduro " vasingadi zvachose ”kutora mudhudhudhu wemagetsi. eenng YX g YXP Xn PY Xn (1 |) (1 |) 1 1 () (1 |)   + = =  (7) Kuenzanisa 8 ndiko kuita kwekugona kwesarudzo yemhinduro "isingade" kutora motokari yemagetsi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (1 |) (1 |) (2 |) (2 |) 2 1 1 (2 |) (1 |) () (2 |)     + - + = =  -  = = (8) Kuenzanisa 9 ibasa rekugona kusarudzwa kwemhinduro "kusahadzika" kutora mudhudhudhu wemagetsi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (2 |) (2 |) (3 |) (3 |) 3 1 1 (3 |) (2 |) () (3 |)     + - + = =  -  = = (9) Kuenzanisa 10 ibasa rekugona kusarudzika kwemhinduro "inoda" kutora mudhudhudhu wemagetsi. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (3 |) (3 |) (4 |) (4 |) 4 1 1 (4 |) (3 |) () (4 |)     + - + = =  -  = = (10) Kuenzanisa 11 ibasa rekugona kusarudzwa kwemhinduro "uchida kwazvo" kutora mudhudhudhu wemagetsi. eenng YX g YX nnn PYXPXPYX (4 |) (4 |) 5 1 1 1 (4 |) () (5 |)  = = = = = yakashandiswa kumuenzaniso wevakapindura mhinduro. Tafura 8 inoratidza hunhu nemhinduro zvemuenzaniso. Saka mukana wekupindura chiero chega chega pane musiyano unoenderana unoverengwa zvichibva paEquation 7 - 11. Muenzaniso wevakabvunzwa vane mhinduro sezvakaratidzwa muTafura 7 vane mukana we0.0013 wekusada kushandisa mudhudhudhu wemagetsi, mukana we0.0114 yekusada kushandisa mudhudhudhu wemagetsi, mukana wekuti 0.1788 wekusahadzika kushandisa mudhudhudhu wemagetsi, mukana we0.563 kuda kushandisa mudhudhudhu wemagetsi, uye mukana we0,2455 kunyatsoda kushandisa mudhudhudhu wemagetsi. Mukana wekutorera mudhudhudhu wemagetsi kune 1,223 vakapind