Analisis Faktor-Faktor Yang Memengaruhi Timbulan Sampah di Jawa Timur

Putri, Syefa Ilmi Beandita (2025) Analisis Faktor-Faktor Yang Memengaruhi Timbulan Sampah di Jawa Timur. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sampah merupakan salah satu isu lingkungan yang memerlukan perhatian serius, baik oleh pemerintah maupun masyarakat. Permasalahan ini berkaitan dengan keberlanjutan lingkungan dan pencapaian Sustainable Development Goals (SDGs) poin ke-12, yaitu memastikan pola konsumsi dan produksi yang berkelanjutan. Meningkatnya pola konsumsi masyarakat turut mendorong bertambahnya timbulan sampah. Provinsi Jawa Timur menjadi salah satu provinsi dengan timbulan sampah tertinggi kedua di Indonesia, dengan peningkatan signifikan selama empat tahun terakhir. Penelitian ini bertujuan untuk memodelkan timbulan sampah di Provinsi Jawa Timur berdasarkan faktor-faktor demografi, ekonomi, dan lingkungan, dengan mempertimbangkan aspek spasial antar wilayah kabupaten/kota menggunakan pendekatan Geographically Weighted Regression. Melalui pendekatan ini, diharapkan dapat diperoleh model yang tidak hanya menjelaskan pengaruh faktor-faktor tersebut secara statistik, tetapi juga menunjukkan variasi pengaruhnya di tiap wilayah. Berdasarkan hasil analisis, timbulan sampah tertinggi di Jawa Timur yaitu di Kota Surabaya, sedangkan yang terendah di Kabupaten Blitar. Pemodelan GWR dengan fungsi kernel Bisquare Fixed lebih baik dibandingkan regresi linear berganda dengan kebaikan model sebesar 92,72%. Keunggulan model GWR ini menunjukkan bahwa hubungan antara timbulan sampah dengan faktor-faktor demografi dan ekonomi tidak bersifat seragam di seluruh wilayah. Hal ini menunjukkan adanya heterogenitas spasial dalam faktor-faktor yang memengaruhi timbulan sampah di Jawa Timur.
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Waste is one of the environmental issues that requires serious attention from both the government and society. This problem is closely related to environmental sustainability and the achievement of Sustainable Development Goal (SDG) 12, which emphasises ensuring sustainable consumption and production patterns. Increasing consumption contributes to the growing amount of waste generated. East Java Province is one of the regions with the second-highest waste generation in Indonesia, showing a significant increase over the past four years. This study aims to model waste generation in East Java based on demographic, economic, and environmental factors, while considering spatial aspects across regencies and cities using the Geographically Weighted Regression (GWR) approach. Through this method, it is expected to obtain a model that not only explains the statistical influence of these factors but also reveals their varying impacts across regions. The analysis results show that the highest waste generation in East Java is in Surabaya City, while the lowest is in Blitar Regency. The GWR model with the Bisquare Fixed kernel performs better than multiple linear regression, with a model goodness-of-fit of 92.72%. The demographic factor represented by the population variable has a significant effect across all regencies and cities. The superiority of the GWR model indicates that the relationship between waste generation and demographic and economic factors is not uniform across all regions. This demonstrates the presence of spatial heterogeneity in the factors influencing waste generation in East Java

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Geographically Weighted Regression, SDGs Poin ke-12, Timbulan Sampah. Geographically Weighted Regression, SDGs Point 12, Waste Generation
Subjects:	H Social Sciences > HA Statistics > HA30.6 Spatial analysis H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis.
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Syefa Ilmi Beandita Putri
Date Deposited:	02 Jan 2026 01:45
Last Modified:	02 Jan 2026 01:45
URI:	http://repository.its.ac.id/id/eprint/129183

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