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All Journal Jurnal Abdi Insani Advance Sustainable Science, Engineering and Technology (ASSET)
Ihsan Fajruna, Muhammad
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OPTIMALISASI MANAJEMEN PENGELOLAAN SAMPAH BERBASIS KOMUNITAS DI PERUMAHAN KASONGAN PERMAI KABUPATEN BANTUL Arsanti, Vidyana; Nur Rahmahwati, Isti; Sukma Kharisma, Rizqi; Ihsan Fajruna, Muhammad; Mariady Loudewyk De Janero, Miguel
Jurnal Abdi Insani Vol 12 No 9 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i9.2883

Abstract

The closure of the Piyungan landfill has forced waste management to be carried out independently by communities in each region, especially the Special Region of Yogyakarta, which has the smallest scope, namely the village. One of the villages in Bantul has carried out community-based waste management. However, support is needed through community service activities to optimize waste management, which is referred to as “Booster”. The location of community service activities is in Kasongan Permai Housing. This activity aims to boost more optimal waste management and increase community independence in managing waste. The method used in this community service activity is the socialization of the community partnership program by the service team so that the community is interested in managing waste, making a participatory community-based waste management flow through Forum Group discussion, making a map of the waste management area and training community empowerment in managing waste through material presentation by the service team and mini practice of processing waste by partners with the service team. The results of this activity include: (1) a clear waste management flow map so that the division of tasks in waste management becomes clearer; (2) increased understanding and community independence related to waste management by 15% or N-Gain 0.6, which means moderate. The conclusion is that there is a precise waste management flow and plan map, optimal waste management, and increased community understanding and independence. Both will optimize community-based waste management.
Spatial Analysis of Waste Management Facility Distribution Using GIS Arsanti, Vidyana; Kharisma, Rizqi Sukma; Ardiansyah, Ivan; Nugroho, Bayu; Ihsan Fajruna, Muhammad; Zahra Deswanti, Luthfia; Fais Al Qori, Muhammad
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 Ardiansyah, Ivan Bayu Nugroho Fais Al Qori, Muhammad Kharisma, Rizqi Sukma Mariady Loudewyk De Janero, Miguel Nur Rahmahwati, Isti Sukma Kharisma, Rizqi Vidyana Arsanti, Vidyana Zahra Deswanti, Luthfia