Studi Kelayakan Teknis Pengembangan Tempat Pengelolaan Sampah (TPS) 3R Desa Wantilan, Kabupaten Subang
Bibliographic record
Abstract
Abstract. Wantilan Village in Subang Regency, Indonesia, faces major challenges in waste management due to rapid industrial development and population growth. Based on the Cipeundeuy Sub-district Detailed Spatial Plan 2022-2042, Wantilan Village is designated as an integrated industrial area of Subang Smartpolitan, which causes a surge in waste volume and related problems for the environment, health, and daily life of the community. To address these issues, the village government, in collaboration with CSR, built a Reduce, Reuse, Recycle (3R) Waste Management Site (TPS). This research aims to evaluate the technical feasibility of developing TPS 3R, referring to the Minister of Public Works Regulation No. 3/PRT/M/2013. Descriptive qualitative research method was used to analyze the suitability of the TPS 3R plan with applicable regulations, identifying gaps between existing conditions and technical standards. The analysis results show that the TPS 3R development plan has met most of the technical criteria, but there are areas for improvement, especially in scheduling waste collection and transportation. The findings are expected to serve as guidelines in designing a more effective and sustainable waste management system, and can be used as a model for other regions with similar challenges. Abstrak. Desa Wantilan di Kabupaten Subang, Indonesia, menghadapi tantangan besar dalam pengelolaan sampah akibat pesatnya perkembangan industri dan pertumbuhan populasi. Berdasarkan Rencana Detail Tata Ruang Kecamatan Cipeundeuy Tahun 2022-2042, Desa Wantilan ditetapkan sebagai kawasan industri terpadu Subang Smartpolitan, yang menyebabkan lonjakan volume sampah dan masalah terkait lingkungan, kesehatan, serta kehidupan sehari-hari masyarakat. Untuk mengatasi masalah ini, pemerintah desa, bekerja sama dengan CSR, membangun Tempat Pengelolaan Sampah (TPS) Reduce, Reuse, Recycle (3R). Penelitian ini bertujuan mengevaluasi kelayakan teknis pengembangan TPS 3R, merujuk pada Peraturan Menteri PU Nomor 3/PRT/M/2013. Metode penelitian kualitatif deskriptif digunakan untuk menganalisis kesesuaian rencana TPS 3R dengan regulasi yang berlaku, mengidentifikasi kesenjangan antara kondisi eksisting dan standar teknis. Hasil analisis menunjukkan bahwa rencana pengembangan TPS 3R telah memenuhi sebagian besar kriteria teknis, namun terdapat area untuk peningkatan, terutama dalam penjadwalan pengumpulan dan pengangkutan sampah. Temuan ini diharapkan menjadi pedoman dalam merancang sistem pengelolaan sampah yang lebih efektif dan berkelanjutan, serta dapat dijadikan model bagi daerah lain dengan tantangan serupa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".