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All Journal JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Sistem Informasi dan Manajemen
Putra, Muklas Adi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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PENGEMBANGAN DESAIN ANTARMUKA SIMPER DI BADAN METEOROLOGI DAN KLIMATOLOGI MEDAN BERBASIS WEB Samsudin, Samsudin; Putra, Muklas Adi; Ginting, Natal; Haloho, Melanthon Pardamean
JURSIMA Vol 11 No 3 (2023): Volume 11 Nomor 3 2023
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v11i3.760

Abstract

The large amount of work piling up at BMKG Region 1 Medan means there is no time to carry out maintenance on the SIMPER website. So the SIMPER website was handed over to the author to update the icons, tool data and station data. Maintenance is carried out during the internship period or ± 1 month, so that the SIMPER website can provide information on stations that are active or have repaired measuring equipment. In making icons, the author designs icons using the Android application, namely Pixellab. In this research the author used the System Development Life Cycle (SDLC) development method. The aim of this research is to change the tool icon on the SIMPER web so that the icon display is better than before and it is easy to indicate whether it is active or not with the shape of the space and with images related to the previous icon and the aim of updating the tool data is to indicate on the initial appearance of the web SIMPER that the station is active or inactive (has not updated data).
MENENTUKAN KESESUAIAN PENERIMAAN BANSOS MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT Putra, Muklas Adi; Ikhwan, Ali
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 10 No 2 (2025): JUSIM : Jurnal Sistem Informasi Musi Rawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v10i2.2824

Abstract

Social assistance (BANSOS) is one of the government’s programs aimed at improving community welfare; however, its distribution often suffers from inaccuracy due to the absence of an objective system for determining eligible recipients. This study aims to develop a Decision Support System (DSS) using the Additive Ratio Assessment (ARAS) method to assess the eligibility of BANSOS recipients and determine the most appropriate type of assistance, such as the Family Hope Program (PKH), Indonesia Smart Program (PIP), and Non-Cash Food Assistance (BPNT). The dataset consists of 60 alternatives evaluated using 11 assessment criteria. The analysis results show that alternative Ar45 (Tumi) achieved the highest score of 0.7509, while most actual BANSOS recipients had relatively lower scores. The system’s accuracy rate of 33.33% indicates that the results do not yet fully represent real conditions. However, sensitivity testing shows that the ARAS method is relatively stable, with average value changes below 5% across variations in criterion weights. This finding confirms that ARAS provides objective, consistent, and transparent assessments. This study contributes by demonstrating the effectiveness of the ARAS method for decision support in determining social assistance eligibility at the village level. Its limitation lies in the small sample size and lack of testing in other regions. Future research is recommended to apply the system to larger datasets, compare it with other MCDM methods, and develop an Android-based application for easier access by policymakers.
Co-Authors Ali Ikhwan Ginting, Natal Haloho, Melanthon Pardamean Samsudin, Samsudin