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All Journal Jurnal Teknologi Sistemasi: Jurnal Sistem Informasi Jurnal Mantik Penusa JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Journal of Robotics and Control (JRC) Respati JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Maklumatika SmartComp Advance Sustainable Science, Engineering and Technology (ASSET)
Rizqi Sukma Kharisma
Universitas Amikom Yogyakarta
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Journal : Advance Sustainable Science, Engineering and Technology (ASSET)

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Spatial Analysis of Waste Management Facility Distribution Using GIS Vidyana Arsanti; Rizqi Sukma Kharisma; Ivan Ardiansyah; Bayu Nugroho; Muhammad Ihsan Fajruna; Luthfia Zahra Deswanti; Muhammad Fais Al Qori
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.996

Abstract

Recently, waste has become an extraordinary phenomenon that has attracted the attention of all levels of society: authorities, local governments, environmentalists, and regional stakeholders at the village level. Based on DIY Regional Regulation No. 3 of 2013 concerning the Management of Household Waste and Waste Similar to Household Waste and Sleman Regency Regional Regulation No. 6 of 2023 concerning the Implementation of Waste Management, efforts to minimize the amount of waste are made by each waste bank collaborating with TPS3R in Sleman Regency. Based on temporary data from 178 waste banks, there are 97 active waste banks and 32 TPS3R in Sleman Regency. The objectives of this study are (1) To determine the distribution pattern of active waste banks in Sleman Regency and (2) To determine the accessibility of active waste banks to TPS3R locations. This study uses the nearest neighbour analysis method, and the accessibility of active waste bank locations to TPS3R locations is measured using the buffering method—data processing using a Geographic Information System (GIS). The results of this study indicate (1) the distribution pattern of active waste banks in Sleman Regency based on the nearest neighbour ratio value is 0.861485 (<1), indicating a spatial pattern that tends to be clustered or spread in groups; (2) the accessibility of active waste banks to the TPS3R location has not shown an even pattern, from 32 TPS3R only 10 TPS3R have two waste banks, the rest 0 - 8 waste banks. The buffering distance shows that the closer the two locations are, the more effective and efficient waste management will be, with a maximum accessibility distance of 4.1 km.
Spatial Analysis of Waste Management Facility Distribution Using GIS Vidyana Arsanti; Rizqi Sukma Kharisma; Ivan Ardiansyah; Bayu Nugroho; Muhammad Ihsan Fajruna; Luthfia Zahra Deswanti; Muhammad Fais Al Qori
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.996

Abstract

Recently, waste has become an extraordinary phenomenon that has attracted the attention of all levels of society: authorities, local governments, environmentalists, and regional stakeholders at the village level. Based on DIY Regional Regulation No. 3 of 2013 concerning the Management of Household Waste and Waste Similar to Household Waste and Sleman Regency Regional Regulation No. 6 of 2023 concerning the Implementation of Waste Management, efforts to minimize the amount of waste are made by each waste bank collaborating with TPS3R in Sleman Regency. Based on temporary data from 178 waste banks, there are 97 active waste banks and 32 TPS3R in Sleman Regency. The objectives of this study are (1) To determine the distribution pattern of active waste banks in Sleman Regency and (2) To determine the accessibility of active waste banks to TPS3R locations. This study uses the nearest neighbour analysis method, and the accessibility of active waste bank locations to TPS3R locations is measured using the buffering method—data processing using a Geographic Information System (GIS). The results of this study indicate (1) the distribution pattern of active waste banks in Sleman Regency based on the nearest neighbour ratio value is 0.861485 (<1), indicating a spatial pattern that tends to be clustered or spread in groups; (2) the accessibility of active waste banks to the TPS3R location has not shown an even pattern, from 32 TPS3R only 10 TPS3R have two waste banks, the rest 0 - 8 waste banks. The buffering distance shows that the closer the two locations are, the more effective and efficient waste management will be, with a maximum accessibility distance of 4.1 km.
Co-Authors Agustinus Bagas Pra Mahardika Ardi Setiyansah Bayu Nugroho Bernadhed, Bernadhed Bintang Yoga Pamungkas Eko Pramono Elik Hari Muktafin Emha Taufiq Luthfi Erik Hadi Saputra Fransiskus Paskalis Gisa Anugrah Dessriadi Handy Yusuf Pranata Heri Nugraha Ibnu Herlambang Wicaksono Istiningsih Istiningsih Ivan Ardiansyah Kusrini Kusrini Kusrini Kusrini Luthfia Zahra Deswanti Majid Rahardi Muhammad Fais Al Qori Muhammad Ihsan Fajruna Mulia Sulistiyono Rizqi Muhammad Hakim Septian Nurwijaya Setiyansah, Ardi Sidiq Arfianto Uyock Anggoro Saputro Vidyana Arsanti, Vidyana