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All Journal Jurnal Sains dan Teknologi Teika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Teknologi Informasi dan Ilmu Komputer CESS (Journal of Computer Engineering, System and Science) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Jurnal Ilmiah KOMPUTASI JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System SYUKUR (Jurnal Inovasi Sosial dan Pengabdian Masyarakat) Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Building of Informatics, Technology and Science Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Madaniya Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Kajian Ilmiah Community Empowerment Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Journal of Applied Computer Science and Technology (JACOST) BEMAS: Jurnal Bermasyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Atma Inovasia Abdimas Indonesian Journal INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Borobudur Informatics Review Jurnal Informatika Polinema (JIP) Jurnal Ilmiah Sistem Informasi Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Dedikasi Nusantara
Sukmasetya, Pristi
Universitas Muhammadiyah Magelang
Religion Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : Jurnal Riset Informatika

 1 
K-Means Clustering Method for Determining Waste Transportation Routes to Landfill Almas Nurfarid Budi Prasetyo; Maimunah Maimunah; Pristi Sukmasetya
Jurnal Riset Informatika Vol 5 No 3 (2023): Priode of June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.540

Abstract

Waste is worsening in Magelang City, especially in urban areas. As a result of poorly managed waste disposal, a landfill is needed. Magelang City has a landfill called TPA Banyuurip, located in Plumbon Hamlet, Banyuurip Village, Tegalrejo Subdistrict, Magelang City. From this case, the application of the kmeans clustering method to determine the efficiency of the waste transportation route to the landfill is needed. The research began by conducting direct observations at the Banyuurip landfill by interviewing the drivers of waste vehicles to find out information such as waste sources, transportation schedules, etc. In this study, the data used are the name and address of the supplier, sub-district, coordinate point, and distance from the supplier's place to the landfill. After data collection, data preprocessing is done by dividing and selecting data based on sub-districts. Then the data is processed using the kmeans clustering algorithm to divide the route efficiency and the haversine formula algorithm to determine the closest distance between clusters. After the data has been successfully processed, the number of clusters is 4 for north Magelang, where each cluster will become a corridor with four routes. For central Magelang, 2 clusters with two routes, while for south Magelang, the results are 4 clusters with four routes. From these results, the evaluation results using silhouette score for data clustering of 3 sub-districts are 0.632560 for North Magelang, 0.640667 for Central Magelang, and 0.630186 for South Magelang. This method is expected to help in grouping routes and mapping supplier areas effectively and efficiently in the waste transportation process in Magelang City.
K-Means Clustering Method for Determining Waste Transportation Routes to Landfill Almas Nurfarid Budi Prasetyo; Maimunah Maimunah; Pristi Sukmasetya
Jurnal Riset Informatika Vol. 5 No. 3 (2023): June 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i3.219

Abstract

Waste is worsening in Magelang City, especially in urban areas. As a result of poorly managed waste disposal, a landfill is needed. Magelang City has a landfill called TPA Banyuurip, located in Plumbon Hamlet, Banyuurip Village, Tegalrejo Subdistrict, Magelang City. From this case, the application of the kmeans clustering method to determine the efficiency of the waste transportation route to the landfill is needed. The research began by conducting direct observations at the Banyuurip landfill by interviewing the drivers of waste vehicles to find out information such as waste sources, transportation schedules, etc. In this study, the data used are the name and address of the supplier, sub-district, coordinate point, and distance from the supplier's place to the landfill. After data collection, data preprocessing is done by dividing and selecting data based on sub-districts. Then the data is processed using the kmeans clustering algorithm to divide the route efficiency and the haversine formula algorithm to determine the closest distance between clusters. After the data has been successfully processed, the number of clusters is 4 for north Magelang, where each cluster will become a corridor with four routes. For central Magelang, 2 clusters with two routes, while for south Magelang, the results are 4 clusters with four routes. From these results, the evaluation results using silhouette score for data clustering of 3 sub-districts are 0.632560 for North Magelang, 0.640667 for Central Magelang, and 0.630186 for South Magelang. This method is expected to help in grouping routes and mapping supplier areas effectively and efficiently in the waste transportation process in Magelang City.
Co-Authors Abul Hasani, Rofi Aditya Prasetyawan Afidah, Inayatun Najihatul Afif Prasetyo Agung Vinia Rahma Agus Setiawan Ahmad Husen Ardiyansah Ajarwiro, Cweto Bolodiko Aji Purwoko Aji, Ridho Catur Novi Alan Kusuma Aliudin, Habib Said Almas Nurfarid Budi Prasetyo Almira, Venia Alvine Candra Amelia Anggraini Annisa Annisa Shabilla Arazka Firdaus Anavyanto Ardhin Primadewi Arham Rahim Arrojak, Muhamad Yusril Arthalia Wulandari, Ika Arya Prayoga Asmanto, Budi Athoetan, Salma Atmaja, Audi Ilham Auzi Asfarian Avian Ali Mas'ud Basunondro, Wibiartono Bayu Agustian Budi Setyo Wulan Cahya Sonny Surachman Catur Rahmawati Catur Rahmawati Catur Wulandari Dana I. Sensuse Danu Rendra Krisna Meganatara Devi Oktaviani Dimas Sasongko Dwihantoro, Prihatin Dwika Oktavian Eko Muh Widodo Elin Cahyaningsih Emilya Ully Artha Endah Ratna Arumi Endah Ratna Arumi, Endah Ratna Erzi Hidayat Fadhlillah Jatmiko Utomo Famila Zidda Febriyanto, Yusril Firdaus Anavyanto, Arazka Haryanto, Taufiq Hasani, Rofi Abul Hasbi Hutauruk1, Dzakiyyah Hasna Nur Arifaini Heni Apriyani Herlin Lutfiannisa, Alifia Hery Setiawan Hidayat, Chandra Nur Hidayat, Erzi Ika Arthalia Ika Arthalia Wulandari Imam Saputra Iqbal Ridwan Darmawan Jihan Nuariputri Laela Dian Angraeni Lusi Nurlatifah Maimunah Maimunah Maimunah Maimunah, Maimunah Maulida, R.Bima Gofiruli Muhammad Hafizh Hamdanuddinsyah Muhammad Resa Arif Yudianto Muhammad Riyan Andriyanto Muhammad Riyan Andriyanto Mujito Mukhtar Hanafi Muliasari Muliasari Nafiah, Anisatun Nawangsari, Rosiska Syekhrum Noris Mohd Norowi Nurrohman, Muhamad Nuryanto Nuryanto Pangestiaji, Yongki Pradana Putra Utomo Purwono Hendradi Purwono Hendradi Putri Winly Apriliani Rahendra Firman Sunartama Ramadhan, Dean Apriana Rayinda Faizah Resa Arif Yudianto Resa Arif Yudianto Resa Arif Yudianto, Muhammad Resa Arif Yudiyanto Reza Pradana Adiharsa Rochiyanto, Andi Rofi Abul Hasani Sadewi, Fungki Ayu Safira Ayu Muthi'ah Salam, Muhammad Ifsyaus Salsadila Arsuliyanti Sandi Satria Alamsyah Sari, Nur Ita Sari, Wina Permana Satrio Satrio Sensuse, Dana I. Setiawan, Agus Setiya Nugroho Slamet Hidayat Sophia Ikhsanti Sugiarto, Bagus Susanti, Dwi Tito Rizki Purnomo Tri Wahyuni Uky Yudatama Uky Yudatama, Uky Utuh Setyaning Janji Wachiddin M Huda Wahyu Santoso Wina Permana Sari Wisnu Nugroho Wulandari, Ika Arthalia Yantria Gusta Nugraha Yudianto, Resa Arif Yusril Febriyanto Yusril Febriyanto Zahwa Dwi Larasati