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Penerapan Metode Capacitated Maximum Covering Location Problem (CMCLP) dalam Penentuan Lokasi Tempat Penampungan Sementara (TPS) Firmansyah, Fajar Muchti; Nuha, Hilyatun; Murnawan, Hery
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.46742

Abstract

Mantup Sub-district, Lamongan Regency has 7 Temporary Waste Storagea Facilities (TPS) that are not intergrated with the Final Disposal Site (TPA) and have not served 72 hamlets or waste source. This causes piles of waste in the TPS area and several public places. Determinig the loction of the TPS aims to opimize the TPS service so that it can serve all waste sources with the mathematical model of the Capacitated Maxium Covering Location Problem (CMCLP) and is solved using Google Colab in the Python programming language. The data collected in this study include the points of waste sources and TPS along with the distance between the two points, the capacity of waste transport vehicles, and the amount of waste produced based on SNI-19-3964-1994 sampling. The model results show that there are 8 optimal TPS locations consisting of 3 TPS that have been built and 5 alternative TPS that can serve 72 waste sources with maximum service covereage of 4 kilometers. 
Otomasi Alat Pemilah Sampah Menggunakan Algoritma Yolo dengan Pendekatan Quality Function Deployment (QFD) Guna Mengurangi Residu Sampah di TPS 3R Tenggilis Awang, Taufiq Labdo Ganiyu; Nuha, Hilyatun; Murnawan, Hery
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.46898

Abstract

The TPS Reduce, Reuse and Recycle Tenggilis Mejoyo faces a problem with waste residue levels of 58.61%, far above the ideal target of 30%. This research develops an automated waste sorting device using the Quality Function Deployment (QFD) approach to optimize the sorting process. The research methodology employs four QFD phases from Voice of Customer to production planning. A prototype measuring 40x10 cm with a conveyor speed of 10 cm/s was developed based on high-priority technical responses. Testing was conducted with 5 repetitions using 150 mixed samples of plastic and paper. Results showed an overall accuracy of 83.95% with details of 85.3% for plastic and 82.6% for paper/cardboard. Actual capacity reached 13 sorts/minute for plastic and 21 sorts/minute for paper. Implementation of the device increased accuracy from 65% to 84% (19% improvement). The automation system with YOLO algorithm proved effective in improving sorting effectiveness and contributing to waste residue reduction at the 3R TPS.