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All Journal Jurnal PAJAR (Pendidikan dan Pengajaran) Insight: Jurnal Ilmiah Psikologi JURNAL MAHAJANA INFORMASI LOFIAN: Jurnal Teknologi Informasi dan Komunikasi ULINA: Jurnal Pengabdian kepada Masyarakat
Sartana
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences Other

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Sistem Pendukung Keputusan Penentuan Penerima Bantuan Keuangan Korban Bencana Alam Menggunakan Metode AHP Sartana; Fauzi Haris Simbolon; Simbolon, Marice Hotnauli
LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Vol 5 No 2 (2026): Pebruari
Publisher : Universitas Mandiri Bina Prestasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58918/lofian.v5i2.296

Abstract

The AHP method is a way to break down complex multi-factor or multi-criteria problems into a hierarchy. The AHP method was first proposed by Thomas L. Saaty, a simple and efficient method for identifying solutions from a set of alternatives. In this study, all applicants for assistance obtained based on a predetermined quota are entitled to receive assistance with a size that matches the weight obtained from the AHP. The method used to solve this research problem uses the Analytical Hierarchy Process (AHP) method. The programming language used is Visual Basic, which is useful for processing data into information, and Cristal Report as a medium for reporting. This decision support system seeks priority recipients of financial assistance for victims of natural disasters. The application of the decision support system seeks solutions in determining the provision of financial assistance to victims of natural disasters with criteria for the category of casualties, damage categories, building types, and land status categories.
Co-Authors Indriyani Santoso Jaidup Banjarnahor Marice Hotnauli Marice Hotnauli Simbolon Mendrofa, Marni Lestari Putri Pasaribu, Maranata Rizal Kurniawan Sariadin Siallagan SIAHAAN, BERTHA NERPY Sihombing, Maradu Simbolon, Fauzi Haris Simbolon, Marice Hotnauli Simbolon, Ratna Wati Sinaga, Sarman Suryani, Cahya Wanra Tarigan