Muslim Alamsyah
Universitas Merdeka Pasuruan

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PENDATAAN PENERIMA ZAKAT KANTOR BAZNAS KABUPATEN PROBOLINGGO BERBASIS ANDROID GIS Muslim Alamsyah; Mochammad Firman Arif
Joutica Vol 4, No 2 (2019)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.191 KB) | DOI: 10.30736/jti.v4i2.322

Abstract

Zakat is a number of assets that must be issued by Muslims to be given to groups who have the right to receive, such as the poor and the like, according to those stipulated by sharia. The law of zakat is obligatory for every Muslim who has fulfilled certain conditions. The National Zakat Amil Agency (BAZNAS) is the official body and the only one formed by the government based on RI Presidential Decree No. 8 of 2001 which has duties and functions to collect and distribute zakat, infaq, and alms. The purpose of making this research is to build an android application for GIS zakat assistance map (BAZNAS) in probolinggo district. This study uses data collection methods used in this study through observation, which is collecting data obtained from existing documents or stored records, both in the form of transcript notes, books, newspapers, plunging directly to the location to take pictures, and so on. Output targets of this study are in the form of an application for collecting data on zakat assistance from an Android-based Baznas office and will be published in non-accredited national journals. The application can be used by someone who wants to send donations via Smartphone easily. As well as the results of this application, it can map the locations of recipients of Zakat and Donors according to the coordinates of points of different colors. With the application, it can help channeling Zakat in Probolinggo district. Keywords: Zakat, Baznas, Android, GIS
Implementation of a Mamdani Fuzzy-Based Decision Support System for Determining Social Assistance Priorities Muslim Alamsyah; Mochammad Firman Arif
NEWTON: Networking and Information Technology Vol. 5 No. 3 (2026): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v5i3.6944

Abstract

Determining the priority of social assistance recipients is a semi-structured problem commonly faced by village governments and social institutions. The manual and subjective selection process often leads to mistargeting and inequitable distribution of aid. This study aims to implement a Decision Support System (DSS) based on the Mamdani Fuzzy method to determine the priority of social assistance recipients. The research object is data on prospective social assistance recipients in Sidowayah Village, Beji District, Pasuruan Regency. The criteria used include income, number of dependents, housing conditions, and employment status. The Mamdani Fuzzy method was selected because it effectively handles uncertainty and linguistic data in the decision-making process. The results demonstrate that the developed system can produce objective, consistent, and adaptive priority rankings for social assistance recipients compared to manual methods and the SAW method. Expert validation through interviews with village officials indicates that the system is deemed feasible for implementation, rated as valid to highly valid.