<mets:mets OBJID="eprint_76880" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-06-17T17:40:33Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>Institutional Repository UIN Sunan Kalijaga Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_76880_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>ANALISIS PREFERENSI MASYARAKAT KOTA YOGYAKARTA TERHADAP SKEMA PENGELOLAAN LIMBAH ELEKTRONIK RUMAH TANGGA MENGGUNAKAN DISCRETE CHOICE EXPERIMENT (DCE)</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">NIM.: 22106060057</mods:namePart><mods:namePart type="family">Kafa Asyiradinta</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The increase in electronic waste (e-waste) in Indonesia reached 1.886 million tons in 2022 and is&#13;
still predominantly managed by the informal sector, which poses risks to both the environment and&#13;
public health. The City of Yogyakarta, with a population of 369,500, continues to face low public&#13;
participation in the formal e-waste management system, highlighting the need for service designs&#13;
that align with community preferences. This study aims to identify service attributes influencing&#13;
public decision-making, estimate the contribution of each attribute to utility and choice probability,&#13;
and analyze changes in community participation under different policy scenarios. The study applied&#13;
the Discrete Choice Experiment (DCE) method to 475 respondents across 14 districts, with data&#13;
analyzed using a mixed logit model based on Random Utility Theory (RUT). The results indicate&#13;
that drop-off location distance, cost or incentive, data security, and collection method significantly&#13;
influence public decisions, while operating hours were not statistically significant (p = 0.285). Dropoff&#13;
location distance was identified as the most influential attribute, with a relative importance value&#13;
of 44.54%, followed by collection method at 36.84%. Home pick-up services and guaranteed data&#13;
deletion were found to increase both utility and the probability of public participation. The mixed&#13;
logit model demonstrated better performance than the multinomial logit model, with a McFadden&#13;
R² value of 0.8102 and a likelihood ratio statistic of 2.029,47 (p &lt; 0.001). Based on respondents’&#13;
distance preferences, 43 additional recommended drop-off locations were identified as proposed ewaste&#13;
collection facility expansions. Policy simulation results using a system dynamics approach&#13;
indicate that the most effective scenario, implementing home pick-up services combined with&#13;
guaranteed data security, could increase the public participation rate from approximately 21% to&#13;
28% over a 36-month simulation period.</mods:abstract><mods:classification authority="lcc">670 Teknik Industri</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-05-22</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>UIN SUNAN KALIJAGA YOGYAKARTA;FAKULTAS SAINS DAN TEKNOLOGI</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_76880"><mets:rightsMD ID="rights_eprint_76880_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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