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All Journal Jupiter Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Masayu Sarah Amelia
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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EcoDroneVerse: Pemantauan Sampah Sungai Berbasis AI-Drone dan Virtual Twin Firmansyah; Masayu Sarah Amelia; Arabela Kogoya; Devani, Ferizka Tiara
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 17 No 3 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17271680

Abstract

River waste accumulation is one of the main causes of flooding in Indonesia. This study proposes the EcoDroneVerse concept, a river monitoring system using drones and artificial intelligence (AI) to create a virtual twin representing the real condition of rivers. The research employs a conceptual method including problem identification, literature review, concept formulation, and systematic analysis of potential technology application. The findings indicate that the system can detect waste both on the surface and below the water in real-time, map critical waste accumulation points, and simulate flood risk predictions. The integration of AI, drones, and virtual twin enables local governments to plan data-driven river cleaning actions and improve decision-making effectiveness in flood mitigation. Since the system is conceptual, prototype development and field testing are necessary for further validation. The proposed approach offers an innovative alternative for sustainable river management and flood control. Keywords—drone, artificial intelligence, virtual twin, river monitoring, flood mitigation
Sosialisasi Aplikasi Pengelolaan dan Penerimaan Bantuan Sosial Program Keluarga Harapan (PKH) di Kecamatan Sungai Keruh dengan Menggunakan Metode Simple Additive Weighting: Penelitian Nur Jumriatunnisah; Indri Ariyanti; Dewi Irmawati; Aurantia Marina; M Zulkarnain; Tona Lestari; Firmansyah; Masayu Sarah Amelia
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5314

Abstract

The goal of this community service is to realize the research activities conducted, which include socialization activities for the application of managing data on recipients of social assistance under the Family Hope Program (PKH) in the Sungai Keruh sub-district, so that this program runs effectively in terms of recording, monitoring, and evaluating PKH social assistance recipients. The data management application for Family Hope Program social assistance recipients uses the Simple Additive Weighting (SAW) Method, which is one of the decision-making methods widely used in decision support systems due to its ability to perform objective assessment calculations based on predetermined criteria. This approach process includes a recipient selection process that can be conducted transparently and measurably, taking into account various relevant assessment variables. Thus, data management becomes more accurate, systematic, and supports distribution.
Co-Authors Arabela Kogoya Devani, Ferizka Tiara Dewi Irmawati Firmansyah Indri Ariyanti M Zulkarnain Marina, Aurantia Nur Jumriatunnisah Tona Lestari