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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Hairul Fahmi
STMIK Lombok, Praya
Computer Science & IT Decision Sciences, Operations Research & Management

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Implementasi Metode Rapid Applications Development Pengembangan Sistem Informasi Geografis Data Lansia Muh. Saiful Akram; Mohammad Taufan Asri Zaen; Hairul Fahmi
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.8004

Abstract

Elderly individuals experience comprehensive changes, biologically, physically, psychologically, and socially, as they age. At the Central Lombok Regency Social Service, administrators still face challenges in managing elderly data, particularly in collection and monitoring, due to limited access to the verification application, which can only be used during working hours. This study aims to develop a Geographic Information System (GIS) for the Elderly through a rapid and iterative development approach that is adaptive to user needs. The development focus is directed at administrators and officers, using the Rapid Application Development (RAD) method, which supports rapid and collaborative application development. The results of the black-box trial showed that all features functioned well and the system can be used to monitor the distribution of elderly data through map visualization on the dashboard feature, as well as to manage and map elderly information based on location coordinates in the elderly feature.
Sistem Penunjang Keputusan Penerima Bantuan Rumah Tidak Layak Huni (RTLH) Menggunakan Metode Swara Maulana Ardiansyah; Hairul Fahmi; Khairul Imtihan
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8235

Abstract

The Rumah Tidak Layak Huni (RTLH) Assistance Program is a government initiative aimed at improving the quality of life of low-income communities through the renovation of houses that do not meet livability standards. However, the selection process for beneficiaries still faces several challenges, particularly the lack of objectivity, potential subjectivity of field officers, and limitations in accurate assessment methods. This study aims to develop a Decision Support System (DSS) using the Step-wise Weight Assessment Ratio Analysis (SWARA) method to determine the weight of criteria in a structured manner based on expert judgment. SWARA was chosen because it systematically accommodates expert preferences through simple steps, producing more consistent and transparent weighting compared to other approaches.Five main criteria were considered: family income (C1), number of dependents (C2), physical condition of the house (C3), ownership status (C4), and occupation of the head of household (C5). The SWARA results generated the following weights: C1 = 0.288, C2 = 0.240, C3 = 0.185, C4 = 0.168, and C5 = 0.120. Data were collected from 13 respondents using a 1–4 scale questionnaire. Final scores were calculated by multiplying responses with the respective weights, yielding a maximum score of 3.160 and a minimum of 2.160. Using quantile-based classification, four eligibility categories were determined: Not Eligible, Less Eligible, Eligible, and Highly Eligible.The results showed that 3 respondents were classified as Not Eligible, 4 as Less Eligible, 3 as Eligible, and 3 as Highly Eligible. This study demonstrates that SWARA can be effectively applied in DSS to enhance the accuracy, objectivity, and transparency of RTLH beneficiary selection.
Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai (BPNT) Menggunakan Metode SMART Moh. Izhar Wirnama; Hairul Fahmi; Wire Bagye
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8276

Abstract

The Non-Cash Food Assistance Program (BPNT) is one of the government’s social policies aimed at improving food security for low-income households. However, the beneficiary selection process in the field is often carried out manually and subjectively, which may lead to mistargeting. This study develops a Decision Support System (DSS) model based on the Simple Multi Attribute Rating Technique (SMART) to assist village officials in objectively determining the eligibility of prospective BPNT recipients, particularly in areas not yet supported by digital technology. The assessment was conducted using five main criteria, namely income, employment status, number of dependents, housing condition, and asset ownership. Eligibility determination was carried out by setting an average threshold value (≥ 0.305), where candidates with a final score equal to or above the threshold were categorized as eligible, while those below it were deemed ineligible. The analysis results showed that out of 11 prospective recipients, four candidates with scores of A4 = 0.925, A9 = 0.900, A5 = 0.700, and A1 = 0.450 were declared eligible to receive BPNT, while the remaining seven were deemed ineligible. The application of the SMART method has proven effective in improving transparency, objectivity, and proportionality in the selection process, making it a practical guideline for village governments or social service agencies in distributing aid fairly and accurately. In the future, this manual model can be integrated into web-based or mobile applications to enhance efficiency, accuracy, and data documentation, accompanied by regular evaluations to ensure that the criteria remain relevant to the socioeconomic dynamics of the community.
Co-Authors Khairul Imtihan Maulana Ardiansyah Moh. Izhar Wirnama Mohammad Taufan Asri Zaen Muh. Saiful Akram Wire Bagye