%0 Thesis
%9 Skripsi
%A Kafa Asyiradinta, NIM.: 22106060057
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2026
%F digilib:76880
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K E-Waste, Discrete Choice Experiment, Mixed Logit, Preferensi Masyarakat, Sistem  Dinamis
%P 198
%T ANALISIS PREFERENSI MASYARAKAT KOTA YOGYAKARTA TERHADAP SKEMA PENGELOLAAN LIMBAH ELEKTRONIK RUMAH TANGGA MENGGUNAKAN DISCRETE CHOICE EXPERIMENT (DCE)
%U https://digilib.uin-suka.ac.id/id/eprint/76880/
%X The increase in electronic waste (e-waste) in Indonesia reached 1.886 million tons in 2022 and is  still predominantly managed by the informal sector, which poses risks to both the environment and  public health. The City of Yogyakarta, with a population of 369,500, continues to face low public  participation in the formal e-waste management system, highlighting the need for service designs  that align with community preferences. This study aims to identify service attributes influencing  public decision-making, estimate the contribution of each attribute to utility and choice probability,  and analyze changes in community participation under different policy scenarios. The study applied  the Discrete Choice Experiment (DCE) method to 475 respondents across 14 districts, with data  analyzed using a mixed logit model based on Random Utility Theory (RUT). The results indicate  that drop-off location distance, cost or incentive, data security, and collection method significantly  influence public decisions, while operating hours were not statistically significant (p = 0.285). Dropoff  location distance was identified as the most influential attribute, with a relative importance value  of 44.54%, followed by collection method at 36.84%. Home pick-up services and guaranteed data  deletion were found to increase both utility and the probability of public participation. The mixed  logit model demonstrated better performance than the multinomial logit model, with a McFadden  R² value of 0.8102 and a likelihood ratio statistic of 2.029,47 (p < 0.001). Based on respondents’  distance preferences, 43 additional recommended drop-off locations were identified as proposed ewaste  collection facility expansions. Policy simulation results using a system dynamics approach  indicate that the most effective scenario, implementing home pick-up services combined with  guaranteed data security, could increase the public participation rate from approximately 21% to  28% over a 36-month simulation period.
%Z Ir. Titi Sari, S.T., M.Sc., IPM.