RUMAKAT, ABDUL ASIS
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Penyusunan Indeks Tingkat Pelayanan Sistem Pengelolaan Sampah Kota RUMAKAT, ABDUL ASIS; JUWANA, IWAN; AINUN, SITI
Jurnal Reka Lingkungan Vol 9, No 1 (2021)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (678.937 KB) | DOI: 10.26760/rekalingkungan.v9i1.23-33

Abstract

AbstrakData PD. Kebersihan Kota Bandung, menunjukkan persentase tingkat pelayanan sampah pada tahun 2017 sebesar 98,14%. Namun pada kenyataannya, masih banyak ditemukan tumpukan sampah di beberapa tempat yang bukan peruntukannya, hal ini menunjukkan angka tersebut belum dapat mewakili pelayanan sampah secara keseluruhan. Penelitian ini bertujuan untuk menyusun indeks yang digunakan untuk menilai kinerja pelayanan sampah kota. Indeks ini disusun dengan cara mengidentifikasi komponen, indikator dan sub-indikator, menentukan kriteria penilaian, melakukan pembobotan, melakukan penggabungan serta menyusun interpretasi indeks. Terdapat 5 komponen, 26 indikator dan 21 sub-indikator yang teridentifikasi. Pembobotan dilakukan dengan pemberian nilai berbeda pada komponen, indikator dan sub-indikator dengan metode aritmatik. Interpretasi indeks dibuat kedalam 5 kategori dengan skala 0-100. Dari hasil penyusunan indeks ini, selanjutnya akan digunakan untuk menilai tingkat pelayanan persampahan di Kota Bandung.Kata kunci : tingkat pelayanan, komponen, indikator, sub-indikator. AbstractAccording to the data from PD Kebersihan Kota Bandung, in 2017 the percentage of the performance level of solid waste is 98.14%. However, it is visible that a large amount of solid waste dumped directly to the environment. This indicates that the existing service level performance value is unable to represent the overall solid waste service. Thus, this study aims to develop a solid waste service level index. This study was undertaken by selecting components, indicators and sub-indicators, determining the weights for the components, indicators and sub-indicators, as well as defining the aggregation and interpretation of the final index. Thorough this study, 5 components, 26 indicators and 21 sub-indicators were identified. The chosen weights for the index was the different weighting. Aggregation index using arithmetic method with the interpretation of the final index will be based on 5 categories of 0-100 scale. Keywords : service level, component, indicator, sub-indicator.  
Penyusunan Indeks Tingkat Pelayanan Sistem Pengelolaan Sampah Kota RUMAKAT, ABDUL ASIS; JUWANA, IWAN; AINUN, SITI
Jurnal Reka Lingkungan Vol 9, No 1 (2021)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (678.937 KB) | DOI: 10.26760/rekalingkungan.v9i1.23-33

Abstract

AbstrakData PD. Kebersihan Kota Bandung, menunjukkan persentase tingkat pelayanan sampah pada tahun 2017 sebesar 98,14%. Namun pada kenyataannya, masih banyak ditemukan tumpukan sampah di beberapa tempat yang bukan peruntukannya, hal ini menunjukkan angka tersebut belum dapat mewakili pelayanan sampah secara keseluruhan. Penelitian ini bertujuan untuk menyusun indeks yang digunakan untuk menilai kinerja pelayanan sampah kota. Indeks ini disusun dengan cara mengidentifikasi komponen, indikator dan sub-indikator, menentukan kriteria penilaian, melakukan pembobotan, melakukan penggabungan serta menyusun interpretasi indeks. Terdapat 5 komponen, 26 indikator dan 21 sub-indikator yang teridentifikasi. Pembobotan dilakukan dengan pemberian nilai berbeda pada komponen, indikator dan sub-indikator dengan metode aritmatik. Interpretasi indeks dibuat kedalam 5 kategori dengan skala 0-100. Dari hasil penyusunan indeks ini, selanjutnya akan digunakan untuk menilai tingkat pelayanan persampahan di Kota Bandung.Kata kunci : tingkat pelayanan, komponen, indikator, sub-indikator. AbstractAccording to the data from PD Kebersihan Kota Bandung, in 2017 the percentage of the performance level of solid waste is 98.14%. However, it is visible that a large amount of solid waste dumped directly to the environment. This indicates that the existing service level performance value is unable to represent the overall solid waste service. Thus, this study aims to develop a solid waste service level index. This study was undertaken by selecting components, indicators and sub-indicators, determining the weights for the components, indicators and sub-indicators, as well as defining the aggregation and interpretation of the final index. Thorough this study, 5 components, 26 indicators and 21 sub-indicators were identified. The chosen weights for the index was the different weighting. Aggregation index using arithmetic method with the interpretation of the final index will be based on 5 categories of 0-100 scale. Keywords : service level, component, indicator, sub-indicator.  
Optimasi Strategis Kebijakan Pemilahan Sampah Rumah Tangga di Kota Ambon Menggunakan Importance-Performance Analysis (IPA) dan Matriks SWOT: Indonesia Rumakat, Abdul Asis; Widyarsana, I Made Wahyu
Asian Journal of Innovation and Entrepreneurship Volume 10, Issue 2, May 2026
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol10.iss2.art2

Abstract

Waste sorting remains a major challenge in implementing the Reduce-Reuse-Recycle (3R) principles in Ambon City, with only 18,16% participation annually. This study aims to develop a strategic model to improve waste sorting in Ambon City through Importance-Performance Analysis (IPA) and SWOT matrix analysis. The methodology employed includes Confirmatory Factor Analysis (CFA) to derive loading factors and mean scores from a Likert scale 1-5 questionnaire. IPA analysis was used to identify key indicators, which were synthesized into SWOT factors. The analysis revealed that each SWOT variable had varying numbers of indicators and different weightings, with the highest weight attributed to Attitude (5,802), followed by Subjective Norm (3,426), Information Intervention (2,688), Perceived Behavioral Control (2,682), Regulations and Policies (2,340), and the lowest to Facility Support (1,186). Indicators with the highest weightings were prioritized in formulating household waste sorting policies in Ambon. The findings indicate that the most optimal policy direction includes fostering positive attitudes towards waste segregation, strengthening pro-soring social norms, enhancing information interventions, providing simple sorting guidelines, reorienting regulatory and policy functions, and developing centralized waste sorting facilities. This study provides a strategic framework for the Ambon City government to enhance waste management practices while reducing dependency on landfill.