ANALISIS PREFERENSI MASYARAKAT KOTA YOGYAKARTA TERHADAP SKEMA PENGELOLAAN LIMBAH ELEKTRONIK RUMAH TANGGA MENGGUNAKAN DISCRETE CHOICE EXPERIMENT (DCE)

Kafa Asyiradinta, NIM.: 22106060057 (2026) ANALISIS PREFERENSI MASYARAKAT KOTA YOGYAKARTA TERHADAP SKEMA PENGELOLAAN LIMBAH ELEKTRONIK RUMAH TANGGA MENGGUNAKAN DISCRETE CHOICE EXPERIMENT (DCE). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

	Text (ANALISIS PREFERENSI MASYARAKAT KOTA YOGYAKARTA TERHADAP SKEMA PENGELOLAAN LIMBAH ELEKTRONIK RUMAH TANGGA MENGGUNAKAN DISCRETE CHOICE EXPERIMENT (DCE)) 22106060057_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf - Published Version Download (2MB)
	Text (ANALISIS PREFERENSI MASYARAKAT KOTA YOGYAKARTA TERHADAP SKEMA PENGELOLAAN LIMBAH ELEKTRONIK RUMAH TANGGA MENGGUNAKAN DISCRETE CHOICE EXPERIMENT (DCE)) 22106060057_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf - Published Version Restricted to Registered users only Download (6MB) | Request a copy

Abstract

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.

Share this knowledge with your friends :

Actions (login required)

View Item