Mmuso oa Indonesia o ne o habile ho amoheloa ha li-unit tsa limilione tse 2.1 tsa makoloi a mabili a mabeli le li-unit tsa 2,200 tsa makoloi a mabili a mane ka 2025 ka Molao oa Mopresidente oa Rephabliki ea Indonesia oa 22 ka 2017 mabapi le Morero oa Naha oa Naha oa Matla. Ho 2019, Mmuso oa Indonesia o phatlalalitse Molao oa Mopresidente No. 55 ho 2019 mabapi le ho Potlakisa Lenaneo la Likoloi tsa Motlakase oa Likoloi bakeng sa Lipalangoang tsa Mmileng. Ho 2018, kamohelo ea makoloi a mabili a motlakase e fihletse feela 0,4% ea sepheo sa mmuso bakeng sa 2025. Ka hona, kamohelo ea theknoloji ea Electric Motorcycle (EM) le eona e tlameha ho nahana ka lintlha tse ngata tse ka atlehang. Patlisiso ena e hlahisa mofuta oa sepheo sa ho amohela koloi e seng ea boits'oaro. Lintlha li kenyelletsa maemo a sechaba, lichelete, theknoloji le macrolevel. Phuputso e entsoeng marang-rang e ne e ama batho ba 1 223 ba arabelitsoeng. Phetolo ea thepa e sebelisetsoa ho fumana ts'ebetso le boleng ba sepheo sa ho amohela EM naheng ea Indonesia. Khafetsa ea ho arolelana mecha ea litaba ea sechaba, boemo ba tlhokomeliso ea tikoloho, litheko tsa theko, litšenyehelo tsa tlhokomelo, lebelo le phahameng, nako ea ho tjhaja betri, ho fumaneha ha lits'ebeletso tsa seteishene sa liteishene mosebetsing, ho fumaneha ha motlakase oa lapeng - ho tjhaja meralo ea motheo, maano a khothatso ea theko, le ho lefisa litheolelo Maano a khothatso a susumetsa haholo sepheo sa ho amohela likoloi tsa motlakase. E bonts'a hape hore monyetla oa hore Maindonesia a amohele lithuthuthu tsa motlakase o fihla ho 82.90%. Ho phethahala ha kamohelo ea lithuthuthu tsa motlakase Indonesia ho hloka boitokisetso ba lits'ebeletso le litšenyehelo tse ka amoheloang ke bareki. Qetellong, liphetho tsa patlisiso ena li fana ka litlhahiso ho mmuso le likhoebo ho akofisa ho amoheloa ha lithuthuthu tsa motlakase Indonesia.

LIEKETSENG MATS'ELA

Lekala la moruo Indonesia (lipalangoang, phepelo ea motlakase le malapa) hangata le sebelisa mafura. Tse ling tsa litlamorao tse mpe tsa ts'epahalo e phahameng ea mafura ke kabo e eketsehileng ea lithuso tsa mafura, mathata a ho boloka matla, le maemo a phahameng a moea o tsoang ho CO2. Lipalangoang ke karolo e kholo e tlatsetsang maemong a holimo a CO2 moeeng ka lebaka la ts'ebeliso e mengata ea makoloi a peterole. Phuputso ena e shebile haholo lithuthuthu hobane Indonesia, joalo ka naha e ntseng e tsoela pele, e na le lithuthuthu tse ngata ho feta likoloi. Palo ea lithuthuthu Indonesia e fihlile ho li-unit tsa 120,101,047 ka 2018 [1] mme thekiso ea lithuthuthu e fihletse li-unit tsa 6,487,460 ka 2019 [2]. Ho fetisetsa lekala la lipalangwang mehloling e meng ho ka fokotsa maemo a holimo a CO2. Tharollo ea 'nete ea bothata bona ke ho kenya tšebetsong lisebelisoa tse tala ka ho kenella ha likoloi tsa motlakase Indonesia joalo ka likoloi tsa motlakase tsa lebasetere, likoloi tsa motlakase tsa lebasetere tsa plug-in, le likoloi tsa motlakase tsa betri [3]. Ntlafatso ea mahlale a koloi ea motlakase le boqapi ba mahlale ba betri li ka fana ka tharollo ea lipalangoang e bolokang tikoloho, e baballang motlakase, le litheko tse tlase tsa ts'ebetso le tlhokomelo [4]. Likoloi tsa motlakase li buisanoa haholo ke linaha tse lefatšeng. Khoebong ea likoloi tsa motlakase ea lefats'e, ho bile le kholo e kholo ea thekiso bakeng sa lithuthuthu tsa mabili a mabeli tse fihletseng 58% kapa ho pota liuniti tse limilione tse 1.2 ho tloha ka 2016 ho isa ho 2017. Keketseho ena ea thekiso e bontša karabelo e ntle e tsoang linaheng tsa lefats'e mabapi le nts'etsopele ea motlakase thekenoloji ea lithuthuthu eo ka tsatsi le leng, lithuthuthu tsa motlakase li neng li lebelletse ho nka sebaka sa likoloi tse fehlang mafura. Sepheo sa lipatlisiso ke Electric Motorcycle (EM) se nang le New Design of Electric Motorcycle (NDEM) le Converted Electric Motorcycle (CEM). Mofuta oa pele, New Design of Electric Motorcycle (NDEM), ke koloi e raliloeng ke k'hamphani e sebelisang theknoloji ea motlakase mesebetsing ea eona. Linaha tse ling tsa lefats'e tse kang Australia, Jeremane, England, France, Japane, Taiwan, Korea Boroa le China li se li sebelisitse lithuthuthu tsa motlakase e le sehlahisoa se nkang sebaka sa likoloi tsa lithuthuthu tse fehloang ka mafura [5]. Mofuta o mong oa lithuthuthu tsa motlakase ke Zero Motorcycle e hlahisang lithuthuthu tsa motlakase oa lipapali [6]. PT. Gesits Technologies Indo e boetse e hlahisitse lithuthuthu tsa mabili a mabeli tse tsamaeang ka tlas'a lebitso la Gesits. Mofuta oa bobeli ke CEM. Sethuthuthu sa motlakase se fetotsoeng ke sethuthuthu se fehlang oli moo motlakase le likarolo tsa enjene li nkeloang sebaka ke lisebelisoa tsa betri tsa Lithium Ferro Phosphate (LFP) joalo ka mohloli oa matla. Le ha linaha tse ngata li hlahisa sethuthuthu sa motlakase, ha ho motho ea entseng koloi ka ho sebelisa mekhoa ea phetoho. Phetoho e ka etsoa ka sethuthuthu sa mabili a mabeli se seng se sa sebelisoe ke basebelisi ba sona. Universitas Sebelas Maret ke pula-maliboho ho hlahiseng CEM mme ka botsebi o paka hore libeteri tsa Lithium-Ion li ka nka sebaka sa mehloli ea matla a peterole lithuthuthu tse tloaelehileng. CEM e sebelisa theknoloji ea LFP, betri ena ha e phatlohe ha potoloho e khuts'oane e hlaha. Ntle le moo, betri ea LFP e na le ts'ebeliso ea nako e telele ho fihlela ho 3000 ea ts'ebeliso le e telele ho feta libeteri tsa hajoale tsa khoebo tsa EM (joalo ka Lithium-Ion Battery le LiPo Battery). CEM e ka tsamaea lik'hilomithara tse 55 / tjhaja 'me ea ba le lebelo le phahameng ho fihla ho 70 km / hora [7]. Jodinesa, et al. [8] o hlahlobile karolo ea mmaraka ea lithuthuthu tse fetoloang tsa motlakase ho Surakarta, Indonesia mme ho hlahisitse hore batho ba Surakarta ba arabetse hantle ho CEM. Ho latela tlhaloso e kaholimo, ho ka bonoa hore monyetla oa lithuthuthu tsa motlakase o moholo. Liphuputso tse 'maloa mabapi le litekanyetso tse amanang le likoloi tsa motlakase le libeteri li se li entsoe, joalo ka maemo a betri ea Lithium Ion ke Sutopo et al. [9], maemo a tsamaiso ea betri ka Rahmawatie et al. [10], le makoloi a motlakase a lefisa litekanyetso tsa Sutopo et al. [11]. Sekhahla se liehang sa ho amoheloa ha likoloi tsa motlakase Indonesia se hlohlellelitse mmuso ho lokolla maano a 'maloa bakeng sa nts'etsopele ea indasteri ea makoloi mme a rerile ho lebisa tlhokomelo ho amoheloeng ha li-unit tsa milione tsa 2.1 tsa lithuthuthu tsa motlakase le li-unit tsa 2,200 tsa likoloi tsa motlakase ka 2025. Ntle le moo, mmuso e ne e shebile Indonesia hape hore e tsebe ho hlahisa likoloi tsa motlakase kapa tsa lebasetere tse 2 200 tse boletsoeng Rephaboliking ea Molao oa Mopresidente oa Indonesia oa 22 oa 2017 mabapi le Morero oa Naha oa Matla a Matla. Molaoana ona o sebelisitsoe ke linaha tse fapaneng joalo ka France, England, Norway le India. Lekala la Matla le Liminerale le ipehetse sepheo sa hore ho qala ka 2040, thekiso ea Likoloi tsa Kahare tsa Motlakase (ICEV) e thibetsoe mme sechaba se kopuoa ho sebelisa likoloi tse sebelisang motlakase [12]. Ho 2019 Mmuso oa Indonesia o phatlalalitse Molao oa Mopresidente No. 55 ea 2019 mabapi le ho Potlakisa Lenaneo la Likoloi tsa Motlakase la Motlakase bakeng sa Lipalangoang tsa Mmileng. Boiteko bona ke mohato oa ho hlola mathata a mabeli, e leng ho felloa ha mehloli ea oli ea peterole le tšilafalo ea moea. Mabapi le tšilafalo ea moea, Indonesia e ikemiselitse ho fokotsa 29% ea khase ea carbon dioxide ka 2030 ka lebaka la Seboka sa Phetoho ea Tlelaemete sa Paris se neng se tšoaretsoe ka 2015. Ka 2018, ho kenella ha likoloi tsa motlakase tse mabili a mabeli ho fihletse feela 0,4% ea sepheo sa mmuso ke 2025, ha motlakase oa mabili a mane o fihlile ho feta 45%. Ka Tshitwe 2017, ho ne ho na le bonyane diteishene tsa setjhaba tsa tjhaja motlakase tse fetang 1,300 tse fumanehang naheng ka bophara metseng e 24, moo 71% (liteishene tse tlatsang tse 924) tse fumanehang DKI Jakarta [13]. Linaha tse ngata li entse lipatlisiso mabapi le ho amohela likoloi tsa motlakase, empa Indonesia, lipatlisiso tsa naha ha li so ka li etsoa pele. Ho bile le mefuta e mengata ea lipatlisiso linaheng tse ling tse entseng liphuputso mabapi le ho amohela theknoloji e ncha ka ho sebelisa mekhoa e 'maloa e kang mekhoa e mengata e fapaneng ea ho tseba sepheo sa ts'ebeliso ea likoloi tsa motlakase Malaysia [14], Structural Equation Modeling (SEM) ho tseba ho amohela lithibelo tsa likoloi tsa motlakase tsa Tianjin, China [15], tlhahlobo ea lintho tse hlahlobang le mofuta oa multivariate regression ho tseba mekoallo har'a bakhanni ba likoloi tsa motlakase United Kingdom [16], le khatello ea thepa ho tseba lintlha tse susumetsang ho nkuoa ha likoloi tsa motlakase ho Beijing, Chaena [17]. Morero oa patlisiso ena ke ho hlahisa mofuta oa ho amohela bana ba lithuthuthu tsa motlakase Indonesia, ho fumana lintlha tse susumetsang sepheo sa ho amohela lithuthuthu tsa motlakase Indonesia, le ho fumana menyetla ea tšebetso ea ho amohela lithuthuthu tsa motlakase Indonesia. Ho etsa mohlala oa lintlha ho bohlokoa ho fumana hore na ke lintlha life tse susumetsang sepheo sa ho amohela lithuthuthu tsa motlakase Indonesia. Lintlha tsena tse nang le tšusumetso li ka sebelisoa e le mokhoa oa ho qapa maano a loketseng ho akofisa kamohelo ea lithuthuthu tsa motlakase. Lintlha tsena tsa bohlokoa ke setšoantšo sa maemo a matle a lakalitsoeng ke basebelisi ba lithuthuthu tsa motlakase ba Indonesia. Mafapha a mang a Indonesia a amanang le ho theoa ha maano mabapi le makoloi a motlakase ke Lekala la Liindasteri le sebetsanang le melao ea lekhetho la makoloi ho latela mochini oa lona o sebetsanang ka kotloloho le baetsi ba likoloi tsa motlakase, Lekala la Lipalangwa le tsamaisang tlhahlobo ea likoloi tsa motlakase tse tla betla tseleng e kholo joalo ka liteko tsa betri joalo-joalo, hammoho le Lekala la Matla le Lisebelisoa tsa Liminerale le ikarabellang ho theha litefiso tsa Seteishene sa Likoloi tsa Motlakase ho tsa lits'ebeletso tsa likhoebo tse lefisang likoloi tsa motlakase. Ntlafatso ea makoloi a motlakase e boetse e khothaletsa ho tsoaloa ha likhoebo tse ncha ka har'a phepelo ho kenyelletsa li-technopreneurs le ho qala ho tsoa ho bahlahisi, barekisi, baetsi le barekisi ba lihlahisoa tsa lits'ebeletso tsa motlakase / lits'ebeletso le lihlahisoa tsa tsona 'marakeng [24]. Bo-rakhoebo ba lithuthuthu tsa motlakase le bona ba ka nts'etsapele mahlale le papatso ka ho nahana ka lintlha tsena tsa bohlokoa ho ts'ehetsa phethahatso ea lithuthuthu tsa motlakase ho fapana le lithuthuthu tse tloaelehileng Indonesia. Ts'ebetso e ikhethileng ea thepa e sebelisetsoang ho fumana ts'ebetso le boleng ba sepheo sa ho amohela lithuthuthu tsa motlakase Indonesia li sebelisa software ea SPSS 25. Ho hatelloa ha thepa kapa mokhoa oa ho ngola ke mokhoa oa ho etsa mefuta ea ponelopele. Ho fokotseha ha thepa lipalo-palo tse sebelisetsoang ho bolela esale pele monyetla oa ketsahalo e tla etsahala ka ho bapisa lintlha tse ho logit curve function logistic. Mokhoa ona ke mohlala o akaretsang o fapaneng bakeng sa khatello ea "binomial regression [18]. Ho hatelloa ha thepa ho sebelisitsoe ho bolela esale pele kamohelo ea ho amoheloa ha inthanete le banka ka mehala [19], ho bolela esale pele kamohelo ea ho amoheloa ha theknoloji ea lifoto tsa voltaic Netherlands [20], ho bolela esale pele kamohelo ea theknoloji ea sistimi ea telemonitoring bakeng sa bophelo bo botle [21], le ho fumana tsoa litšitiso tsa tekheniki tse amang qeto ea ho amohela litšebeletso tsa leru [22]. Utami et al. [23] eo pele a neng a etsa lipatlisiso ka maikutlo a bareki a likoloi tsa motlakase Surakarta, o fumane hore litheko tsa theko, meetso, ts'ebetso ea makoloi, le ho ikemisetsa ha litšebeletso ke litšitiso tse kholo ho batho ba amohelang likoloi tsa motlakase. Mokhoa: Lintlha tse bokelletsoeng phuputsong ena ke lintlha tsa mantlha tse fumanoeng ka lipatlisiso tsa inthanete ho fumana menyetla le lintlha tse susumetsang sepheo sa ho amohela lithuthuthu tsa motlakase Indonesia. Lenane la lipotso le Patlisiso Phuputso ea inthaneteng e ile ea abeloa ba arabelitsoeng 1,223 liprofinseng tse robeli tsa Indonesia ho lekola mabaka a susumetsang sepheo sa ho amohela lithuthuthu tsa motlakase Indonesia. Liprofinse tsena tse khethiloeng li bile le thekiso ea lithuthuthu e fetang 80% Indonesia [2]: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra le Bali. Lintlha tse hlahlobiloeng li bontšoa ho Tafole ea 1. Tsebo e akaretsang ka lithuthuthu tsa motlakase e fanoe qalong ea lenane la lipotso ka ho sebelisa video ho qoba ho se utloisisane. Lenane la lipotso le ne le arotsoe ka likarolo tse hlano: karolo ea ho lekola, karolo ea bophelo ba batho, karolo ea lichelete, karolo ea theknoloji le karolo ea boemo bo boholo. Lenane la lipotso le hlahisitsoe ka sekala sa Likert sa 1 ho isa ho 5, moo 1 e sa lumellaneng ka matla, 2 bakeng sa ho hana, 3 bakeng sa pelaelo, 4 bakeng sa lumela, le 5 bakeng sa lumela haholo. Boikemisetso ba boholo ba sampole bo bonts'itsoeng bo supa ho [25], e boletse hore lithuto tsa ho shebisisa tse nang le boholo ba baahi bo kenyelletsang khatello ea thepa li hloka bonyane ba sampole ea 500 ho fumana lipalo-palo tse emelang lipalo. Mohlala oa sehlopha sa batho ba sebelisang lithuthuthu Indonesia o moholo haholo. Ntle le moo, ho etsa mohlala ka boomo ho sebelisetsoa ho fumana lisampole ho ipapisitsoe le litekanyetso tse itseng [26]. Liphuputso tsa inthaneteng li etsoa ka lipapatso tsa Facebook. Batho ba tšoanelehang ho arabela ke batho ba lilemo li 17, ba nang le SIM C, e le e mong oa ba nkang qeto ea ho nka kapa ho reka sethuthuthu, mme ba busoa ho e 'ngoe ea liprofinse ho Tafole ea 1. Moralo oa Khopolo She et al. [15] le Habich-Sobiegalla et al. [28] mekhoa e sebelisitsoeng bakeng sa karohano e hlophisehileng ea lintlha tse tsamaisang kapa tse sitisang kamohelo ea koloi ea motlakase ke bareki. Re fetotse meralo ena ka ho e ntlafatsa ho latela tlhahlobo ea rona ea lingoliloeng tsa lithuthuthu tsa motlakase mabapi le tšebeliso ea lithuthuthu tsa motlakase. Re e bone ka mahlo a Tafole ea 1. Tafole ea 1. Tlhaloso le Tlhaloso ea Lintlha le Litšoaneleho tsa Khoutu ea Atrtibute Ref. Boemo ba lenyalo ba SD1 [27], [28] Lilemo tsa SD2 Lilemo tsa SD3 Bong ba SD4 Thuto ea ho qetela SD5 Mosebetsi Sociodemographic SD6 Boemo ba tšebeliso ea khoeli le khoeli SD7 Boemo ba lekeno la khoeli le khoeli SD8 Palo ea ho ba le lithuthuthu SD9 Maqhubu a ho arolelana mecheng ea litaba tsa sechaba SD10 Boholo ba marang-rang a marang-rang a SD11 Tlhokomeliso ea tikoloho ea lichelete FI1 Theko ea theko [29] FI2 Litsenyehelo tsa betri [30] FI3 Tefiso ea ho tjhaja [31] FI4 Litšenyehelo tsa tlhokomelo [32] Theknoloji ea TE1 Mileage cap [33] TE2 Power [33] TE3 Nako ea ho tjhaja [33] Tšireletso ea TE4 [34] TE5 Bophelo ba betri [35] Ho fumaneha hoa seteishene sa ho tjhaja sa ML1 maemong a sechaba [36] ML2 Seteishene sa ho tjhaja se fumaneha mosebetsing [15] Seteishene sa ho tjhaja sa ML3 lapeng [37] ML4 Tšebeletso e fana ka phumants'o [38] ML5 leano la khothatso ea theko [15] ML6 Selemo le selemo leano la theolelo ea lekhetho [15] ML7 Leano la theolelo ea litšenyehelo [15] Morero oa ho amohela ngoana Morero oa ho sebelisa [15] Sociodemographic Factor Sociodemographic factor ke mabaka a botho a susumetsang boitšoaro ba motho ha a etsa liqeto. Eccarius et al. [28] ba boletse ka mohlala oa bona oa ho amohela hore lilemo, bong, boemo ba lenyalo, thuto, lekeno, mosebetsi, le ho ba makoloi ke lintho tsa bohlokoa tse amang ho amoheloa ha koloi ea motlakase. HabichSoebigalla et al e totobatsa lintlha tsa marang-rang tse kang palo ea lithuthuthu, ho arolelana makhetlo a mangata mecheng ea litaba tsa sechaba, le boholo ba liwebosaete tsa marang-rang e ka ba lisosa tsa kamohelo ea likoloi tsa motlakase [28]. Eccarius et al. [27] le HabichSobiegalla et al. [28] hape e nkoang e le tlhokomeliso ea tikoloho ke ea maemo a sechaba. Theko ea Theko ea Lichelete ke theko ea mantlha ea sethuthuthu sa motlakase ntle le lithuso tsa ho reka. Sierzchula et al. [29] e re theko e phahameng ea theko ea koloi ea motlakase e bakiloe ke matla a phahameng ka ho fetisisa a betri. Litsenyehelo tsa betri ke litšenyehelo tsa ho tlosa betri ha bophelo ba betri ea khale bo felile. Krause et al. a batlisisa hore litšenyehelo tsa betri ke tsa tšitiso ea lichelete ho motho ea sebelisang koloi ea motlakase [30]. Ho lefella litšenyehelo ke litšenyehelo tsa motlakase ho matlafatsa sethuthuthu sa motlakase ha se bapisoa le theko ea peterole [31]. Litšenyehelo tsa tlhokomelo ke litšenyehelo tsa tloaelo tsa ho hlokomela lithuthuthu tsa motlakase, eseng litokiso ka lebaka la kotsi e amang ho amoheloa ha koloi ea motlakase [32]. Bokhoni ba theknoloji ea Factor Mileage ke sebaka se hole ka ho fetesisa kamora hore betri ea sethuthuthu sa motlakase e chaele ka botlalo. Zhang et al. [33] o boletse hore ts'ebetso ea makoloi e bua ka tlhahlobo ea bareki ka koloi ea motlakase ho kenyeletsoa matla a mileage, matla, nako ea ho tjhaja, polokeho le bophelo ba betri. Matla ke lebelo le phahameng ka ho fetesisa la sethuthuthu sa motlakase. Nako ea ho tjhaja ke nako e akaretsang ea ho tjhaja sethuthuthu sa motlakase ka botlalo. Boikutlo ba polokeho ha u palame sethuthuthu sa motlakase se amanang le molumo (dB) ke lintlha tse totobatsoang ke Sovacool et al. [34] ho ba lisosa tse amang maikutlo a bareki ka koloing ea motlakase. Graham-Rowe et al. [35] o boletse hore bophelo ba betri bo nkuoa bo nyenyefalitsoe. Lisebelisuoa tsa boemo ba Macro tsa ho tjhaja seteishene ke ntho e ke keng ea qojoa bakeng sa moamoheli oa lithuthuthu tsa motlakase. Ho lefisa ho fumaneha libakeng tsa sechaba ho nkuoa ho le bohlokoa ho ts'ehetsa ho amoheloa ha koloi ea motlakase [36]. Ho lefisa ho fumaneha mosebetsing [15] le ho lefisa ho fumaneha hae [37] le hona ho hlokahala ke bareki ho phetha betri ea koloi ea bona. Krupa et al. [38] o re ho fumaneha ha libaka tsa ts'ebeletso bakeng sa tlhokomelo le tšenyo e tloaelehileng ho ama ho amoheloa ha koloi ea motlakase. O ile a al. [15] e khothalelitse likhothaletso tsa sechaba tse batloang haholo ke bareki ba Tianjin joalo ka ho fana ka lithuso bakeng sa ho reka lithuthuthu tsa motlakase, theolelo ea lekhetho ea selemo le selemo bakeng sa lithuthuthu tsa motlakase, le tefiso ea leano la litheolelo ha bareki ba hloka ho lefisa sethuthuthu sa motlakase libakeng tsa sechaba [15]. Boitšoaro bo tloaelehileng Boitšoaro bo tloaelehileng ke bo bong ba mekhoa ea lipalo-palo e hlalosang kamano lipakeng tsa phapano e itšetlehileng ka mofuta o le mong kapa ho feta o ikemetseng, moo phapano e itšetlehileng ka likarolo tse fetang 2 mme sekala sa litekanyo se lekana kapa sa ordinal [39]. Equation 1 ke mohlala oa regression registic regression mme Equation 2 e bonts'a mosebetsi g (x) joalo ka logit equation. eegxgx P x () () 1 () + = (1) = = = + mkjk Xik gx 1 0 ()   (2) LITLHAKU TSA PUISANO LE PUISANO Potso ea lipotso e ile ea ajoa marang-rang ka Hlakubele - Mmesa, 2020, ka lipapatso tse lefuoang tsa Facebook ka ho beha sebaka sa sefeela: West Java, East Java, Jakarta, Central Java, North Sumatra, West Sumatra, Yogyakarta, South Sulawesi, South Sumatra le Bali e fihletseng basebelisi ba 21,628. Likarabo tse kenang kaofela e ne e le likarabo tse 1,443, empa ke likarabo tse 1,223 feela tse neng li tšoaneleha hore li ka sebetsoa ka data. Tafole ea 2 e bonts'a palo ea batho ba arabelitsoeng. Lipalo-palo tse hlalosang Letlapa la 3 le bonts'a lipalo-palo tse hlalosang mefuta e fapaneng ea bongata. Litheko tsa ho lefella litšenyehelo, litheolelo tsa lekhetho tsa selemo le selemo le litheko tsa theko ea theko li na le karolelano e phahameng hara lintlha tse ling. Sena se bontša hore boholo ba ba arabelitsoeng ba nka hore ho na le leano leo mmuso o le filoeng ka matla le atlehileng ho ba khothaletsa ho sebelisa lithuthuthu tsa motlakase. Maemong a lichelete, theko ea theko le theko ea betri li na le karolelano e tlase hara lintlha tse ling. Sena se bontša hore theko ea theko ea sethuthuthu sa motlakase le litheko tsa betri ha li tšoanelehe le tekanyetso ea boholo ba ba arabelitsoeng. Boholo ba batho ba arabelitsoeng ba ne ba nka hore theko ea sethuthuthu sa motlakase e theko e boima haholo ha e bapisoa le theko ea sethuthuthu se tloaelehileng. Litsenyehelo tse ncha tsa betri lilemo tse ling le tse ling tse tharo tse fihlang ho IDR 5,000,000 le tsona li theko e phahameng haholo ho batho ba bangata ba arabelitsoeng e le hore theko ea theko le theko ea betri e be mokoallo ho Maindonesia ho amohela lithuthuthu tsa motlakase. Bophelo ba betri, matla, nako ea ho tjhaja li na le lintlha tse tlase lipalo-palo tse hlalosang empa lipalo tse karolelano ea lintlha tsena tse tharo li feta 4. Nako ea ho tjhaja e nkileng lihora tse tharo e ne e le telele haholo ho batho ba bangata ba arabelitsoeng. Lebelo le phahameng la sethuthuthu sa motlakase ke 70 km / h mme bophelo ba betri ea lilemo tse 3 ha boa fihlela litlhoko tsa ba arabelitsoeng. Sena se bontša hore boholo ba ba arabelitsoeng ba nka ts'ebetso ea lithuthuthu tsa motlakase li sa fihlelle maemo a bona. Batho ba arabileng kaofela ha ba tšepe ts'ebetsong ea lithuthuthu tsa motlakase, EM e ka fihlela litlhoko tsa bona tsa ho tsamaea tsa letsatsi le letsatsi. Batho ba bangata ba arabelitsoeng ba fane ka lintlha tse ngata ho fumaneha ha thepa malapeng le liofising ho feta libakeng tsa sechaba. Leha ho le joalo, mokoallo o atisang ho fumanoa ke hore motlakase oa lapeng o ntse o le ka tlase ho 1300 VA, ho etsa hore ba arabelitsoeng ba lebelle hore mmuso o tla khona ho thusa ho fana ka lits'ebeletso tsa ho tjhaja lapeng. Ho fumaneha ha litefiso ofising ho ratoa haholo ho feta libakeng tsa sechaba hobane ho tsamaea ha ba arabelitsoeng letsatsi le leng le le leng ho kenyelletsa malapa le ofisi. Tafole ea 4 e bonts'a likarabo tsa ba arabelitsoeng kamohelong ea lithuthuthu tsa motlakase. E bonts'a hore 45,626% ea ba arabelitsoeng ba ikemiselitse ka matla ho sebelisa sethuthuthu sa motlakase. Sephetho sena se bonts'a bokamoso bo khanyang ba karolo ea mmaraka oa lithuthuthu tsa motlakase. Tafole ea 4 e bonts'a hape hore hoo e ka bang 55% ea ba arabelitsoeng ha ba na takatso e matla ea ho sebelisa sethuthuthu sa motlakase. Liphetho tse khahlisang tse tsoang lipalo-palo tsena tse hlalosang li bolela hore leha cheseho ea ho sebelisa lithuthuthu tsa motlakase e ntse e hloka ho hlasimoloha, kamohelo ea sechaba ea lithuthuthu tsa motlakase e ntle. Lebaka le leng le ka bang teng ke hore ba arabelitsoeng ba na le maikutlo a ho emela ho bona ho amoheloa ha sethuthuthu sa motlakase kapa hore na motho e mong o sebelisa sethuthuthu sa motlakase kapa che. Litaba tsa Ordinal Logistic Regression li ntse li sebetsoa le ho sekasekoa ho fumana sepheo sa ho amohela lithuthuthu tsa motlakase Indonesia tse sebelisang khatello e hlophisitsoeng ea thepa. Mofuta o itšetlehileng ka patlisiso ena ke boikemisetso ba ho sebelisa sethuthuthu sa motlakase (1: ho hana ka matla, 2: ho se rate, 3: ho belaela, 4: ho ikemisetsa, 5: ho ikemisetsa ka matla). Phetohelo ea thepa e tloaelehileng e khethiloe e le mokhoa ho patlisiso ena hobane phapano e itšetlehileng ka eona e sebelisa sekala sa odara. Lintlha li ile tsa sebetsoa ho sebelisoa software ea SPSS 25 ka boemo ba boits'epo ba 95%. Liteko tsa Multicollinearity li entsoe ho baloa Variance inflation Factors (VIF) ka VIF ea karolelano ea 1.15- 3.693, ho bolelang hore ha ho na multicollinearity ka mohlala. Khopolo-taba e sebelisitsoeng ho regression logistic regression e bonts'oa ho Tafole ea 5. Tafole ea 6 e bonts'a sephetho sa liteko tsa karoloana e le motheo oa ho hana kapa ho amohela khopolo-taba ea khatello ea thepa ea bo-ordinal. Tafole ea 2. Palo ea batho ba arabetseng Palo ea batho Freq% Lenane la palo ea batho Freq% Domicile West Java 345 28.2% Moithuti oa Mosebetsi 175 14.3% Java Bochabela 162 13.2% Basebeletsi ba sechaba 88 7.2% Jakarta 192 15.7% Basebetsi ba ikemetseng 415 33.9% Java e Bohareng 242 19.8% Rakhoebo 380 31.1% North Sumatera 74 6.1% Ba bang 165 13.5% Yogyakarta 61 5.0% South Sulawesi 36 2.9% Dilemo 17-30 655 53.6% Bali 34 2.8% 31-45 486 39.7% Sumatera Bophirimela 26 2.1% 46-60 79 6.5% Borwa Sumatera 51 4.2%> 60 3 0.2% Boemo ba lenyalo Ke masoha 370 30.3% Lekala la ho qetela la Thuto SMP / SMA / SMK 701 57.3% Lenyalo 844 69.0% Diploma 127 10.4% Ba bang 9 0.7% Bachelor 316 25.8% Bong Bong Male 630 51.5% Master 68 5.6 % Basadi 593 48.5% Bongaka 11 0.9% Boemo ba lekeno la kgwedi 0 154 12.6% Boemo ba tshebediso ya kgwedi <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% Tafole 3. Lipalo-palo tse Hlalosang tsa Lichelete, Theknoloji, le Boemo ba Macro Boemo bo Fapakaneng Boemo Boemo bo Fapanang Karolelano ea ML7 (disc disc.) 4.4563 1 ML3 (CS hae) 4.1554 9 ML6 (disc ea selemo le selemo ea lekhetho. ) 4.4301 2 ML2 (CS libakeng tsa mosebetsi) 4.1055 10 ML5 (khothatso ea ho reka) 4.4146 3 ML1 (CS libakeng tsa sechaba) 4.0965 11 TE4 (polokeho) 4.3181 4 TE5 (bophelo ba betri) 4.0924 12 FI3 (litefiso tsa ho tjhaja) 4.2518 5 TE2 (matla) ) 4.0597 13 TE1 (bokhoni ba mileage) 4.2396 6 TE3 (nako ea ho tjhaja) 4.0303 14 ML4 (sebaka sa litšebeletso) 4.2142 7 FI1 (theko ea theko) 3.8814 15 FI4 (litšenyehelo tsa tlhokomelo) 4.1980 8 FI2 (theko ea betri) 3.5045 16 Tafole ea 4. Lipalo-palo tse hlalosang bakeng sa Kamohelo ea Adoption 1: ho hana ka matla 2: ho se rate 3: ho belaela 4: ho rata 5: ho ikemisetsa ka matla Ho ikemisetsa ho sebelisa sethuthuthu sa motlakase 0.327% 2.044% 15.863% 36.141% 45.626% lintlha tsa maemo a bophelo li bonts'a liphetho tse bonts'ang maqhubu a ho arolelana feela metswedi ya dikgang (SD9) le boemo ba ngongoreho ea tikoloho (SD11) li na le phello e kholo morerong oa lithuthuthu tsa motlakase Indonesia. Litekanyetso tsa bohlokoa bakeng sa maemo a fapaneng a boemo ba lenyalo ke 0,622 bakeng sa masoha le 0.801 bakeng sa ba nyalaneng. Litekanyetso tseo ha li tšehetse Khopolo-taba ea 1. Boemo ba lenyalo ha bo susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase hobane boleng ba sona bo fetang 0.05. Boleng ba bohlokoa ba lilemo ke 0,47 e le hore lilemo li se ke tsa ama sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea lilemo tse -0.168 ha e tšehetse Khopolo-taba ea 2. Letšoao le fosahetseng le bolela hore ha lilemo li phahama, sepheo sa ho amohela sethuthuthu sa motlakase se theola. Boleng ba bohlokoa ba boleng bo fapaneng ba boleng, bong, (0.385) ha bo tšehetse Hypothesis 3. Bong ha bo susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba boemo ba ho qetela ba thuto (0.603) ha bo tšehetse Hypothesis 4. Kahoo, thuto ea ho qetela ha e susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo bakeng sa thuto ea ho qetela ea 0,036 bo bolela sesupo se nepahetseng se bolelang ho phahamisa boemo ba thuto ho phahamisa sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba boleng ba mosebetsi e ne e le 0.487 bakeng sa baithuti, 0.999 bakeng sa basebeletsi ba sechaba, 0.600 bakeng sa basebetsi ba poraefete, le 0.480 bakeng sa bo-rakhoebo ba sa tšehetseng Khopolo-taba ea 5. Mosebetsi ha o susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. UTAMI ET AL. / Phatlalatso ea litaba mabapi le likhetho tsa litsamaiso tsa indasteri - VOL. 19 Tjhe. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. 75 Tabel 5. Hypothesis Hypothesis Socio- H1: boemo ba lenyalo bo na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. Pontšo- H2: lilemo li na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. graphic H3: tekano e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H4: boemo ba ho qetela ba thuto bo na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H5: mosebetsi o na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H6: boemo ba ts'ebeliso ea khoeli le khoeli bo na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H7: Lekhetho la khoeli le khoeli le na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H8: palo ea beng ba lithuthuthu e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H9: Khafetsa ea ho arolelana mecheng ea litaba tsa sechaba e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H10: boholo ba sebaka sa marang-rang sa marang-rang se na le phello e ntle morerong oa ho sebelisa sethuthuthu sa motlakase. H11: Temoho ea tikoloho e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. Financial H12: theko ea theko e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H13: Litsenyehelo tsa betri li na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H14: litefiso tsa ho tjhaja li na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H15: Litšenyehelo tsa tlhokomelo li na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H16: bokhoni ba mileage bo na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H17: matla a na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. Techno- H18: Nako ea ho tjhaja e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H19 e utloahalang: polokeho e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H20: bophelo ba betri bo na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H21: phumaneho ea lits'ebeletso tsa liteishene tsa litefiso libakeng tsa sechaba e na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H22: ho fumaneha ha lits'ebeletso tsa liteishene tsa litefiso mosebetsing ho na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. Macrolevel H23: Ho fumaneha ha lits'ebeletso tsa liteishene tsa litefiso lapeng ho na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H24: ho fumaneha ha libaka tsa lits'ebeletso ho na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H25: leano la khothatso ea theko le na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H26: leano la selemo le selemo la theolelo ea lekhetho le na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. H27: leano la theolelo ea theko le na le phello e ntle molemong oa ho amohela sethuthuthu sa motlakase. Tafole ea 6. Liphello tsa khatello ea karolo ea tlhahlobo ea "Value Sig Var Value Sig SD1": single 0.349 0.622 TE1 0.146 0.069 SD1: lenyalong 0.173 0.801 TE2 0.167 0.726 SD1: ba bang 0 TE3 0.240 0.161 SD2 -0.168 0.147 TE4 -0,005 0.013 * SD3: banna 0.117 0.385 TE5 0,068 0.765 SD3: basali 0 ML1 -0.127 0.022 * SD5: baithuti -0.195 0.487 ML2 0.309 0.000 * SD5: civ. tšebeletso 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: ba bang 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 0.013 040.02 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Tlhaloso ea lebitso boemo ba boits'epo Boleng ba bohlokoa ba ts'ebeliso ea khoeli le khoeli (0.069) ha e tšehetse Hypothesis 6, boemo ba ts'ebeliso ea khoeli le khoeli ha bo susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba likhakanyo bakeng sa ts'ebeliso ea khoeli le khoeli ea 0.227, letšoao le netefatsang le bolela hore ho phahama ha boemo ba litšenyehelo tsa khoeli le khoeli ho phahamisa sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba boemo ba lekeno la khoeli le khoeli (0.726) ha bo tšehetse Hypothesis 7, boemo ba lekeno la khoeli le khoeli ha bo susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea lekhetho la khoeli le khoeli ke 0,032, letšoao le tiileng le bolela hore ho phahama ha boemo ba lekeno la khoeli le khoeli ho phahamisa sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba palo ea beng ba lithuthuthu (0.161) ha e tšehetse Hypothesis 8, palo ea ho ba le lithuthuthu ha e susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea boemo ba thuo ea lithuthuthu ke 0,80, letšoao le nepahetseng le bolela palo e kholo ea lithuthuthu, mme sepheo sa ho amohela sethuthuthu sa motlakase se phahame. Boleng ba bohlokoa ba makhetlo a ho arolelana mecheng ea litaba tsa sechaba (0.013) e ts'ehetsa Hypothesis 9, makhetlo a ho arolelana mecheng ea litaba tsa sechaba a na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase hobane boleng ba eona bo ka tlase ho 0.05. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 Tjhe. 1 (2020) 70-81 76 Utami le al. DOI: 10.25077 / josi. sethuthuthu. Bohlokoa ba bohlokoa ba boholo ba marang-rang a marang-rang (0.765) ha a tšehetse Hypothesis 10, boholo ba phihlello ea marang-rang ha bo na tšusumetso e matla morerong oa ho sebelisa sethuthuthu. Boleng ba tekanyetso bakeng sa palo ea batho ba fihletsoeng marang-rang a sechaba ke 0,016, letšoao le nepahetseng le bolela hore boholo ba marang-rang a litaba tsa sechaba bo phahame ka sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba boemo ba tlhokomeliso ea tikoloho (0.022) bo tšehetsa Khopolo-taba ea 11, boemo ba ngongoreho ea tikoloho bo na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba tekanyetso bakeng sa boemo ba tlhokomeliso ea tikoloho ke 0.226, letšoao le netefatsang le bolela hore ho phahama ha boemo ba ngongoreho ea tikoloho eo motho a nang le eona, ho phahamisa sepheo sa ho amohela sethuthuthu sa motlakase. Liphetho tsa tlhahlobo ea khatello ea thepa bakeng sa mefuta-futa ea FI1 ho FI4 e leng ea mabaka a lichelete e bonts'a sephetho sa hore theko ea theko (FI1) le litšenyehelo tsa tlhokomelo (FI4) li na le phello e kholo morerong oa lithuthuthu tsa motlakase Indonesia. Boleng ba bohlokoa ba theko ea theko (0.00) e tšehetsa Khopolo-taba ea 12, theko ea theko e na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase.Boleng ba khakanyo ea theko ea theko ke 0,348, letšoao le netefatsang le bolela hore ha theko ea theko ea sethuthuthu sa motlakase e loketse motho haholoanyane, sepheo sa ho amohela sethuthuthu sa motlakase se phahame haholoanyane. Boleng ba bohlokoa ba theko ea betri (0.355) ha e tšehetse Hypothesis 13, litšenyehelo tsa betri ha li susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba ho lefisa litšenyehelo (0.109) ha bo tšehetse Hypothesis 14, ho lefisa litšenyehelo ha ho na phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo bakeng sa tefiso ea ho tjhaja ke 0,036, letšoao le nepahetseng le bolela hore ha litšenyehelo tsa ho lefisa sethuthuthu sa motlakase li loketse motho, morero o moholo oa ho amohela sethuthuthu sa motlakase o phahame. Boleng ba bohlokoa ba litšenyehelo tsa tlhokomelo (0.017) ha e tšehetse Hypothesis 15, litšenyehelo tsa tlhokomelo li na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea litšenyehelo tsa tlhokomelo ke 0.193, letšoao le nepahetseng le bolela hore litheko tsa tlhokomelo ea lithuthuthu tsa motlakase li loketseng motho e mong, li phahamisa sepheo sa ho amohela sethuthuthu sa motlakase. Liphetho tsa tlhahlobo ea taolo ea thepa bakeng sa mefuta-futa ea TE1 ho ea ho TE5 eo e leng ea lintlha tsa mahlale li bonts'a sephetho sa hore nako ea ho tjhaja betri (TE3) e na le phello e kholo morerong oa kamohelo ea lithuthuthu tsa motlakase Indonesia. Boleng ba bohlokoa ba bokhoni ba mileage (0.107) ha bo tšehetse Hypothesis 16, bokhoni ba mileage ha bo na tšusumetso e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba tekanyetso bakeng sa mileage e phahameng ke 0.146, letšoao le netefatsang le bolela hore ha ho loketse mileage e phahameng ea sethuthuthu sa motlakase ho motho e mong, e phahamisa sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba motlakase o ikemetseng o ikemetseng kapa lebelo le phahameng (0.052) ha e tšehetse Hypothesis 17, lebelo le phahameng ha le susumetse sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba esimate bakeng sa matla kapa lebelo le phahameng ke 0,67, letšoao le letle le bolela hore ha lebelo la sethuthuthu sa motlakase le loketse motho, sepheo sa ho amohela sethuthuthu sa motlakase se phahame le ho feta. Boleng ba bohlokoa ba ho tjhaja nako (0.004) bo ts'ehetsa Hypothesis 18, nako ea ho tjhaja e na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng bo hakantsoeng ba ho lefisa nako ke 0,240, letšoao le nepahetseng le bolela hore ha lebelo la sethuthuthu sa motlakase le loketse motho haholoanyane, sepheo sa ho amohela sethuthuthu sa motlakase se phahame haholoanyane. Boleng ba bohlokoa ba polokeho (0.962) ha bo tšehetse Hypothesis 19, polokeho ha e susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea polokeho ke -0.005, letšoao le fosahetseng le bolela hore ha motho a ikutloa a sireletsehile ha a sebelisa sethuthuthu sa motlakase, sepheo se tlase sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba bophelo ba betri (0.424) ha bo tšehetse Hypothesis 20, bophelo ba betri ha bo na tšusumetso e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea bophelo ba betri ke 0,068, letšoao le nepahetseng le bolela hore ha nako ea bophelo ea betere ea sethuthuthu sa motlakase e le boemong bo nepahetseng, sepheo sa ho amohela sethuthuthu sa motlakase se phahame. Liphetho tsa tlhahlobo ea taolo ea thepa bakeng sa mefuta-futa ea ML1 ho ea ho ML7 eo e leng ea lintlha tsa maemo a maholo e bonts'a sephetho sa hore ho lefisa feela ho fumaneha mosebetsing (ML2), ho lefisa ho fumaneha sebakeng sa bolulo (ML3), le ho lefisa leano la litheolelo (ML7) tse nang le phello e kholo morerong oa ho amohela ba lithuthuthu tsa motlakase Indonesia. Boleng ba bohlokoa ba phumaneho ea ho tjhaja libakeng tsa sechaba (0.254) ha e tšehetse Hypothesis 21, ho lefisa ho fumaneha libakeng tsa sechaba ha ho susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba ho fumaneha ha tjhaja mosebetsing (0.007) bo tšehetsa Khopolo-taba ea 22, ho lefisa ho fumaneha mosebetsing ho na le tšusumetso e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba phumaneho ea ho tjhaja lapeng (0.009) e ts'ehetsa Khopolo-taba ea 22, ho fumaneha ha ho tjhaja lapeng ho na le phello e kholo morerong oa ho amohela sethuthuthu. Boleng ba bohlokoa ba ho fumaneha ha libaka tsa lits'ebeletso (0.181) ha bo tšehetse Hypothesis 24, ho fumaneha ha libaka tsa lits'ebeletso ha ho na phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba leano la khothatso ea theko (0.017) le tšehetsa Khopolo-taba ea 25, leano la khothatso ea theko le na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba leano la selemo le selemo la theolelo ea lekhetho (0.672) ha le tšehetse Khopolo-taba ea 26, leano la khothatso ea selemo le selemo la litheolelo ha le na phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba leano la theko e tlaase la tefiso (0.00) le tšehetsa Khopolo-taba ea 27, leano la khothatso ea litheko tsa ho lefisa le na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Ho latela sephetho sa maemo a maholo, ho amoheloa ha lithuthuthu tsa motlakase ho ka phethahala haeba seteishene sa ho tjhaja mosebetsing, seteishene sa ho tjhaja bolulo, le ho lefisa leano la litheolelo li se li loketse ho fihlelloa ke bareki. Ka kakaretso, makhetlo a ho arolelana mecha ea litaba ea sechaba, boemo ba tlhokomeliso ea tikoloho, litheko tsa theko, litšenyehelo tsa tlhokomelo, lebelo le phahameng la lithuthuthu tsa motlakase, nako ea ho tjhaja betri, ho fumaneha ha lits'ebeletso tsa seteishene sa ho tjhaja mosebetsing, ho fumaneha ha motlakase oa lapeng - ho tjhaja meralo ea motheo, UTAMI ET AL. / Phatlalatso ea litaba mabapi le likhetho tsa litsamaiso tsa indasteri - VOL. 19 Tjhe. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. Maano a khothatso a 77 a ho reka, le ho lefisa maano a khothatso ea litheko li susumetsa haholo sepheo sa ho amohela likoloi tsa motlakase. Mohlala oa Tekano le Mosebetsi oa Mosebetsi Tekano 3 ke equit ea khetho ea karabo "e sa ikemisetseng" ho amohela sethuthuthu sa motlakase.  =  = + 27 1 01 (1 |) kg Y Xn   k Xik (3) Equation 4 ke logit equation bakeng sa khetho ea karabo ea "ho se rate" ho amohela sethuthuthu sa motlakase.  =  = + 27 1 02 (2 |) kg Y Xn   k Xik (4) Equation 5 ke equit equit ea khetho ea karabo "pelaelo" ea ho amohela sethuthuthu sa motlakase.  =  = + 27 1 03 (3 |) kg Y Xn   k Xik (5) Equation 6 ke logit equation bakeng sa karabo ea khetho "ea ikemiselitseng" ho amohela sethuthuthu sa motlakase.  =  = + 27 1 04 (4 |) kg Y Xn   k Xik (6) Mesebetsi ea monyetla oa ho amohela lithuthuthu tsa motlakase tse bontšitsoeng ho Equation 7 ho Equation 11. Equation 7 ke ts'ebetso ea monyetla oa khetho ea karabo " ho hana ka matla ”ho sebelisa sethuthuthu sa motlakase. eenng YX g YXP Xn PY Xn (1 |) (1 |) 1 1 () (1 |)   + = =  (7) Tekano 8 ke ts'ebetso ea monyetla oa khetho ea karabo "e sa batleng" ho amohela sethuthuthu sa motlakase. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (1 |) (1 |) (2 |) (2 |) 2 1 1 (2 |) (1 |) () (2 |)     + - + = =  -  = = (8) Tekano 9 ke mosebetsi oa monyetla oa khetho ea karabo "ho belaela" ho amohela sethuthuthu sa motlakase. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (2 |) (2 |) (3 |) (3 |) 3 1 1 (3 |) (2 |) () (3 |)     + - + = =  -  = = (9) Tekano 10 ke mosebetsi oa monyetla oa khetho ea karabo "o ikemiselitseng" ho amohela sethuthuthu sa motlakase. eeeennnng YX g YX g YX g YX nnnn PYXPYXPXPYX (3 |) (3 |) (4 |) (4 |) 4 1 1 (4 |) (3 |) () (4 |)     + - + = =  -  = = (10) Tekano 11 ke mosebetsi o ka etsahalang bakeng sa khetho ea karabo "o ikemiselitseng" ho amohela sethuthuthu sa motlakase. eenng YX g YX nnn PYXPXPYX (4 |) (4 |) 5 1 1 1 (4 |) () (5 |)   + = - = -  = = (11) Monyetla oa Morero oa ho Amohela Monyetla oa ho hlophisoa ha lintho ka nako eo e sebelisitsoe ho sampole ea likarabo tsa ba arabelitsoeng. Tafole ea 8 e bonts'a litšobotsi le likarabo tsa sampole. Kahoo monyetla oa ho arabela moelelo o mong le o mong ho phapano e itšetlehileng ka ona o baloa ho latela Equation 7 - 11. Mohlala oa ba arabelitsoeng ea nang le likarabo joalo ka ha ho bonts'itsoe ho Tafole ea 7 o na le monyetla oa ho ba 0.0013 bakeng sa ho hana ka matla ho sebelisa sethuthuthu sa motlakase, monyetla oa 0.0114 bakeng sa ho se ikemisetse ho sebelisa sethuthuthu sa motlakase, monyetla oa 0,788 ho belaela ho sebelisa sethuthuthu sa motlakase, monyetla oa 0,563 ho ikemisetsa ho sebelisa sethuthuthu sa motlakase, le monyetla oa 0,2455 ho ikemisetsa ka matla ho sebelisa sethuthuthu sa motlakase. Monyetla oa ho amoheloa ha lithuthuthu tsa motlakase bakeng sa ba arabelang 1,223 le bona ba baliloe mme boleng ba karolelano ea menyetla ea ho se ikemisetse ho sebelisa sethuthuthu sa motlakase e ne e le 0.0031, ba sa ikemisetsa ho sebelisa sethuthuthu sa motlakase e ne e le 0.0198, ba belaela ho sebelisa sethuthuthu sa motlakase e ne e le 0.1482, ba ikemiselitse ho sebelisa sethuthuthu sa motlakase e ne e le 0.3410, mme o ikemiselitse ka matla ho sebelisa sethuthuthu sa motlakase e ne e le 0.4880. Haeba menyetla ea ho ikemisetsa le ho ikemisetsa ka matla e felletse, monyetla oa hore Maindonesia a amohele lithuthuthu tsa motlakase o fihla ho 82.90%. Likhothaletso bakeng sa Baetsi ba Khoebo le Leano Tlhatlhobong ea taolo ea thepa, khafetsa ea ho arolelana mecheng ea litaba tsa sechaba ke ntlha ea bohlokoa e amang sepheo sa ho amohela sethuthuthu sa motlakase. Bohlokoa ba mecha ea litaba ea sechaba e le sethala sa sechaba sa ho fumana tlhaiso-leseling ka lithuthuthu tsa motlakase e tla susumetsa boikemisetso ba ho amohela lithuthuthu tsa motlakase. Mmuso le bo-rakhoebo ba ka leka ho sebelisa sesebelisoa sena, mohlala, bo-rakhoebo ba ka etsa papatso ka libonase kapa kananelo ho bareki ba rekileng lithuthuthu tsa motlakase le ho arolelana lintho tse ntle tse amanang le lithuthuthu tsa motlakase mecheng ea bona ea litaba tsa sechaba. Ka tsela ena ho ka khothatsa ba bang ho ba basebelisi ba bacha ba sethuthuthu sa motlakase. Mmuso o ka tloaelana kapa oa tsebisa sechaba lithuthuthu tsa motlakase ka mecha ea litaba ea sechaba ho khothaletsa ho sututsa sechaba ho tloha sethuthuthu se tloaelehileng ho ea ho sethuthuthu sa motlakase. Phuputso ena e paka hore na tshusumetso ea lintlha tse kholo e bohlokoa hakae kamohelong ea lithuthuthu tsa motlakase Indonesia. Tshekatshekong ea taolo ea thepa e hlophisitsoeng, ho lefisa phumants'o ea liteishene tsa seteishene mosebetsing, ho lefisa phumaneho ea seteishene sa seteishene lapeng, leano la khothatso ea theko, le litheolelo tsa theko ea ho tjhaja li susumetsa haholo sepheo sa ho amohela sethuthuthu sa motlakase. UTAMI ET AL. / JURNAL OPTIMASI SISTEM INDUSTRI - VOL. 19 Tjhe. 1 (2020) 70-81 78 Utami le al. DOI: 10.25077 / josi.v19.n1.p70-81.2020 Tafole ya 7. Mehlala ya Moarabi Karabo Karolong ya Boikarabelo Boemo ba Lenyalo ba Nyetseng X1b 2 Dilemo 31-45 X2 2 Bong Botona X3a 1 Boemo ba Ho Qetela ba Thuto Master X4 4 Mosebetsi Basebetsi ba ikemetseng X5c 3 Khoeli le Khoeli boemo ba tšebeliso Rp2.000.000-5.999.999 X6 2 Lekhetho la khoeli le khoeli Rp. 6.000.000-9.999.999 X7 3 Palo ea ho ba le lithuthuthu X 2 X8 3 Khafetsa ea ho arolelana mecheng ea litaba tsa sechaba makhetlo a 'maloa / khoeli X9 4 Boholo ba marang-rang a marang-rang a batho ba 100-500 batho ba X10 2 Tlhokomeliso ea tikoloho 1 X11 1 Harga beli 3 X12 3 Litsenyehelo tsa betri 3 X13 3 Litšenyehelo tsa ho tjhaja 3 X13 3 Litšenyehelo tsa tlhokomelo 5 X14 5 Bokgoni ba sebaka sa maoto 4 X15 4 Power 5 X16 5 Nako ea ho tjhaja 4 X17 4 Ts'ireletso 5 X18 5 Bophelo ba betri 4 X19 4 Ho fumaneha ha seteishene sa ho tjhaja libakeng tsa sechaba 4 X20 4 Ho fumaneha ha seteishene sa ho tjhaja mosebetsing 4 X21 4 Ho fumaneha ha seteishene sa ho tjhaja lapeng 4 X22 4 Ho fumaneha ha libaka tsa litšebeletso 2 X23 2 Leano la khothatso ea theko 5 X24 5 Leano la selemo le selemo la theolelo ea lekhetho 5 X25 5 Leano la litjeo tsa ho lefella 5 X26 5 Litšenyehelo tsa ho lefisa 5 X27 5 Litšenyehelo tsa tlhokomelo 3 X13 3 Mileage bokhoni 5 X14 5 Power 4 X15 4 Nako ea ho tjhaja 5 X16 5 Boholo ba ba arabelitsoeng ba nka ho lefisa boteng ba lisebelisoa tsa seteishene malapeng, libakeng tsa mosebetsi le libakeng tsa sechaba joalo ka tšusumetso e kholo ea ho amohela lithuthuthu tsa motlakase. Mmuso o ka hlophisa ho kengoa ha lits'ebeletso tsa liteishene tsa litefiso libakeng tsa sechaba ho ts'ehetsa ho amoheloa ha lithuthuthu tsa motlakase. Mmuso o ka sebetsa hape le lekala la khoebo ho hlokomela sena. Ho aheng lits'oants'o tsa boemo bo boholo, patlisiso ena e hlahisa likhetho tse 'maloa tsa leano la khothatso. Maano a bohlokoa ka ho fetisisa a khothatso ho ea ka phuputso ke maano a khothatso ea ho reka le ho lefisa maano a khothatso ea litheko a ka nkoang ke mmuso ho ts'ehetsa ho amoheloa ha lithuthuthu tsa motlakase Indonesia. Maemong a lichelete, theko ea theko e na le phello e kholo morerong oa ho reka sethuthuthu sa motlakase. Lena ke lona lebaka leo ka lona ts'usumetso ea ts'ehetso ea theko le eona e amang haholo morero oa ho amohela. Litsenyehelo tse tlase tsa tlhokomelo ea lithuthuthu tsa motlakase ho feta lithuthuthu tse tloaelehileng li susumetsa haholo sepheo sa ho amohela lithuthuthu tsa motlakase. Ka hona ho fumaneha ha lits'ebeletso tse fihlelang litlhoko tsa bareki ho tla khothaletsa sepheo sa ho amohela lithuthuthu tsa motlakase hobane basebelisi ba bangata ha ba tsebe likarolo tsa lithuthuthu tsa motlakase kahoo ba hloka litsebi tse nang le boiphihlelo haeba ho na le likotsi. Ts'ebetso ea lithuthuthu tsa motlakase e fihlelletse litlhoko tsa bareki ho fihlela motsamao oa bona oa letsatsi le letsatsi. Lebelo le phahameng la sethuthuthu sa motlakase le nako ea ho tjhaja li khona ho fihlela maemo a batloang ke bareki. Leha ho le joalo, ts'ebetso e betere ea lithuthuthu joalo ka polokeho e eketsehileng, bophelo ba betri, le mileage e ngoe ho tla eketsa sepheo sa ho amohela sethuthuthu sa motlakase. Ntle le ho eketsa matsete a theknoloji, mmuso le likhoebo le bona ba tlameha ho ntlafatsa sistimi ea tlhahlobo ea polokeho le ts'epahalo bakeng sa lithuthuthu tsa motlakase ho eketsa ts'epo ea sechaba. Bakeng sa likhoebo, ho khothaletsa boleng le ts'ebetso ke e 'ngoe ea litsela tse sebetsang haholo tsa ho eketsa cheseho ea bareki bakeng sa lithuthuthu tsa motlakase. Bareki ba banyenyane mme ba na le boemo bo phahameng ba thuto ba ka lebisoa ho baamoheli ba pele ho ba litšusumetso hobane ba se ba ntse ba na le boits'oaro bo botle mme ba na le marang-rang a pharaletseng. Karolo ea mmaraka e ka fihlelleha ka ho tsebisa mefuta e ikhethileng bakeng sa bareki ba shebiloeng. Ntle le moo, ba arabelitsoeng ka tlhokomeliso e phahameng ea tikoloho ba ne ba le monyetla oa ho batla ho amohela lithuthuthu. UTAMI ET AL. / Phatlalatso ea litaba mabapi le likhetho tsa litsamaiso tsa indasteri - VOL. 19 Tjhe. 1 (2020) 70-81 DOI: 10.25077 / josi.v19.n1.p70-81.2020 Utami et al. LIPHETHO 79 Ho fetoha ho tloha lithuthuthu tse tloaelehileng ho ea ho lithuthuthu tsa motlakase e ka ba tharollo e molemohali ea ho hlola bothata ba maemo a holimo a CO2 Indonesia. Mmuso oa Indonesia le ona o hlokometse mme o kenelle ka ho beha melaoana e fapaneng mabapi le likoloi tsa motlakase Indonesia. Empa bonneteng, ho amoheloa ha likoloi tsa motlakase Indonesia ho ntse ho le qalong haholo ebile ho hole le lipheo tse behiloeng ke mmuso. Tikoloho ha e tšehetse ho amoheloa ha lithuthuthu tsa motlakase joalo ka ha ho se na melaoana e qaqileng le khaello ea litšebeletso tse ts'ehetsang tse bakang kamohelo e tlase ea makoloi a motlakase Indonesia. Phuputso ena e hlahlobile ba arabetseng ba 1,223 ba tsoang liprofinseng tse 10 tse neng li na le kakaretso ea 80% ea kakaretso ea thekiso ea lithuthuthu Indonesia ho lekola lintlha tsa bohlokoa tse amang sepheo sa ho amohela lithuthuthu tsa motlakase Indonesia le ho fumana mesebetsi e ka bang teng. Le ha boholo ba batho ba arabelang ka lithuthuthu tsa motlakase mme ba batla ho ba le sethuthuthu sa motlakase nakong e tlang, thahasello ea bona ea ho amohela sethuthuthu sa motlakase matsatsing ana e batla e le tlase. Bahlahlobi ha ba batle ho sebelisa lithuthuthu tsa motlakase ka nako ena ka lebaka la mabaka a fapaneng a joalo ka khaello ea meralo ea motheo le maano. Batho ba bangata ba arabelitsoeng ba na le maikutlo a ho leta le ho sheba ho amoheloa ha lithuthuthu tsa motlakase, ka mabaka a lichelete, lintlha tsa mahlale le maemo a maholo a tlamehang ho latela litlhoko tsa bareki. Phuputso ena e paka hore na khafetsa ea ho arolelana mecheng ea litaba tsa sechaba ke bokae, boemo ba tlhokomeliso ea tikoloho, litheko tsa theko, litšenyehelo tsa tlhokomelo, lebelo le phahameng la lithuthuthu tsa motlakase, nako ea ho tjhaja betri, ho fumaneha ha lits'ebeletso tsa liteishene tsa litefiso mosebetsing, ho fumaneha ha thepa ea thepa ea lehae, ho reka maano a khothatso, le ho lefisa maano a khothatso ea litheko ho tšehetsa ho amoheloa ha lithuthuthu tsa motlakase Indonesia. Mmuso o hloka ho ts'ehetsa phumants'o ea litefiso tsa liteishene tsa liteishene le ho etsa leano la khothatso ho akofisa kamohelo ea lithuthuthu tsa motlakase Indonesia. Lintlha tsa theknoloji tse kang mileage le bophelo ba betri li hloka ho tsotelloa ke bahlahisi hore li ntlafatsoe ho ts'ehetsa ho amoheloa ha lithuthuthu tsa motlakase. Mabaka a lichelete a joalo ka litheko tsa theko le litšenyehelo tsa betri a hloka ho tšoenya likhoebo le mmuso. Ts'ebeliso e kholo ea marang-rang e lokela ho nkuoa ho tsebisa sechaba ka sethuthuthu sa motlakase. Baahi ba sa le banyenyane ba ka khothaletsa ho ba bana ba pele ho nako hobane ba na le marang-rang a pharaletseng a litaba tsa sechaba. Ho phethahala ha kamohelo ea lithuthuthu tsa motlakase Indonesia ho hloka boitokisetso ba lits'ebeletso le litšenyehelo tse ka amoheloang ke bareki. Sena se atlehile ho kengoa tšebetsong ke mmuso ka boitlamo bo matla ba mmuso linaheng tse 'maloa tse atlehileng ho emisa likoloi tse tloaelehileng. 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NOMENCLATURE j mefuta e fapaneng e itšetlehileng ka eona (j = 1, 2, 3, 4, 5) k mekhahlelo e ikemetseng e ikemetseng (k = 1, 2, 3,…, m) i maemo a ikemetseng a ikemetseng a ikemetseng n polygonal Xk quantitative independent variable Xik quanlitative independent variable Y dependent variable Pj (Xn) monyetla wa sehlopha ka seng sa maemo a ikemetseng bakeng sa moamoheli e mong le e mong Bangoli ba Biographie Martha Widhi Dela Utami Martha Widhi Dela Utami ke moithuti oa pele ho thuto Lefapheng la Boenjineri ba Liindasteri la Universitas Sebelas Maret. Ke oa Logistics le Business System Laboratory. Lithahasello tsa hae tsa lipatlisiso ke tsamaiso ea thepa le taolo ea phepelo le lipatlisiso tsa mmaraka. O phatlalalitse phatlalatso ea hae ea pele mabapi le tlhahlobo ea maikutlo a bareki ea koloi ea motlakase Indonesia ka selemo sa 2019. Yuniaristanto Yuniaristanto ke morupeli le mofuputsi Lefapheng la Boenjiniere ba Liindasteri, Universitas Sebelas Maret. Lithahasello tsa hae tsa lipatlisiso ke ketane ea phepelo, mohlala oa papiso, litekanyo tsa ts'ebetso le khoebo ea theknoloji. O na le lingoliloeng tse ngotsoeng ke Scopus, lingoloa tse 41 tse nang le index ea 4 H. Imeile ea hae ke yuniaristanto@ft.uns.ac.id. Wahyudi Sutopo Wahyudi Sutopo, o tšoere lengolo la thuto ea boenjiniere (Ir) ho tsoa ho Study Program of Professional Engineer - Universitas Sebelas Maret (UNS) ka 2019. O fumane Doctorate ea hae lefapheng la Boenjiniere ba Liindasteri le Tsamaiso ho tsoa ho Institut Teknologi Bandung (ITB) ho 2011, Master of Science in Management ho tloha Universitas Indonesia ka 2004 le Bachelor of Engineering in Industrial Engineering ho tloha ITB ka 1999. Lithahasello tsa hae tsa ho etsa lipatlisiso ke phepelo, moruo oa boenjiniere le tlhahlobo ea litšenyehelo, le thekiso ea mahlale. O fumane lithuso tse fetang 30 tsa lipatlisiso. O na le lingoliloeng tse ngotsoeng ke Scopus, lingoloa tse 117 tse nang le li-index tse 7 tsa H. Imeile ea hae ke wahyudisutopo@staff.uns.ac.id.Liphetho tsa tlhahlobo ea taolo ea thepa bakeng sa mefuta-futa ea TE1 ho ea ho TE5 eo e leng ea lintlha tsa mahlale li bonts'a sephetho sa hore nako ea ho tjhaja betri (TE3) e na le phello e kholo morerong oa kamohelo ea lithuthuthu tsa motlakase Indonesia. Boleng ba bohlokoa ba bokhoni ba mileage (0.107) ha bo tšehetse Hypothesis 16, bokhoni ba mileage ha bo na tšusumetso e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba tekanyetso bakeng sa mileage e phahameng ke 0.146, letšoao le netefatsang le bolela hore ha ho loketse mileage e phahameng ea sethuthuthu sa motlakase ho motho e mong, e phahamisa sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba motlakase o ikemetseng o ikemetseng kapa lebelo le phahameng (0.052) ha e tšehetse Hypothesis 17, lebelo le phahameng ha le susumetse sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba esimate bakeng sa matla kapa lebelo le phahameng ke 0,67, letšoao le letle le bolela hore ha lebelo la sethuthuthu sa motlakase le loketse motho, sepheo sa ho amohela sethuthuthu sa motlakase se phahame le ho feta. Boleng ba bohlokoa ba ho tjhaja nako (0.004) bo ts'ehetsa Hypothesis 18, nako ea ho tjhaja e na le phello e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng bo hakantsoeng ba ho lefisa nako ke 0,240, letšoao le nepahetseng le bolela hore ha lebelo la sethuthuthu sa motlakase le loketse motho haholoanyane, sepheo sa ho amohela sethuthuthu sa motlakase se phahame haholoanyane. Boleng ba bohlokoa ba polokeho (0.962) ha bo tšehetse Hypothesis 19, polokeho ha e susumetse haholo sepheo sa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea polokeho ke -0.005, letšoao le fosahetseng le bolela hore ha motho a ikutloa a sireletsehile ha a sebelisa sethuthuthu sa motlakase, sepheo se tlase sa ho amohela sethuthuthu sa motlakase. Boleng ba bohlokoa ba bophelo ba betri (0.424) ha bo tšehetse Hypothesis 20, bophelo ba betri ha bo na tšusumetso e kholo morerong oa ho amohela sethuthuthu sa motlakase. Boleng ba khakanyo ea bophelo ba betri ke 0,068, letšoao le nepahetseng le bolela hore ha nako ea bophelo ea betere ea sethuthuthu sa motlakase e le boemong bo nepahetseng, sepheo sa ho amohela sethuthuthu sa motlakase se phahame. Liphetho tsa tlhahlobo ea taolo ea thepa bakeng sa mefuta-futa ea ML1 ho ea ho ML7 eo e leng ea lintlha tsa maemo a maholo e bonts'a sephetho sa hore ho lefisa feela ho fumaneha mosebetsing (ML2), ho lefisa ho fumaneha sebakeng sa bolulo (ML3), le ho lefisa leano la litheolelo (ML7) tse nang le phello e kholo morerong oa ho amohela ba lithuthuthu tsa motlakase Indonesia. Boleng ba bohlokoa ba phumaneho ea ho tjhaja libakeng