Article Per Year (5 Year)
p-Index From 2021 - 2026
2.217
P-Index
This Author published in this journals
All Journal Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Pengabdian kepada Masyarakat Nusantara JPM: JURNAL PENGABDIAN MASYARAKAT Brilliance: Research of Artificial Intelligence Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Sistem Pendukung Keputusan dengan Aplikasi Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Komputer dan Teknologi (JUKOMTEK) Jurnal Akademik Pengabdian Masyarakat Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK)
M. Ari Prayogo
Universitas Mulawarman
Aerospace Engineering Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Building of Informatics, Technology and Science

 1 
Sistem Pendukung Keputusan Penerima Kartu Indonesia Pintar (KIP) Menggunakan Analisis Metode MOORA dan MOOSRA Prayogo, M. Ari; Jundillah, Muhammad Labib; Fahrullah, Fahrullah; Rosita, Dewi; Alimyaningtias, Wahyu Nur; Adhari, Vika Aidila; Rifkiansyah, Muhammad
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6384

Abstract

The decision-making process is important to improve efficiency and accuracy, especially in assistance programs such as the Smart Indonesia Card (KIP). The problem in this study is that the selection process often faces several obstacles, such as inappropriate targets and subjectivity in decision-making. Therefore, a system is needed that can help decision-making more objectively, transparently, and efficiently. Decision Support Systems (DSS) are one solution that can be used to overcome these problems. This study aims to create a DSS in determining eligible KIP recipients, using two multi-criteria analysis methods, namely MOORA (Multi-Objective Optimization by Ratio Analysis) and MOOSRA (Multi-Objective Optimization on the basis of Simple Ratio Analysis). Analysis using the MOORA and MOOSRA methods in determining prospective students receiving the Smart Indonesia Card (KIP) was carried out using 7 alternatives and 9 criteria. This system is designed by considering criteria such as parental dependents, place of residence, type of house, average report card grades, father's education, mother's education, father's occupation, mother's occupation, and parents' income. The results of the study show that based on the analysis of the calculation of the MOORA and MOOSRA methods, the ranking results were obtained with A5 or Zaysa as alternative students who are entitled to receive KIP among other alternative students. The results of the analysis show that both methods provide consistent results in identifying students who are most entitled to receive KIP assistance. As a recommendation, this system can be further developed in the form of a web-based or mobile application to facilitate implementation and expand the scope of its use.
Kombinasi Metode Rank Order Centroid dan Additive Ratio Assessment Untuk Pemilihan Aplikasi Manajemen Inventaris Tanniewa, Adam M; Sah, Andrian; Kurniawan, Robi; Prayogo, M Ari
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.6347

Abstract

Selecting an appropriate inventory management application is a challenge for business actors, especially SMEs, due to the variety of features, costs, and complexities offered. Manual selection is often carried out without a clear systematic approach and tends to be influenced by bias, resulting in suboptimal decisions. This study aims to integrate the Rank Order Centroid (ROC) and Additive Ratio Assessment (ARAS) approaches in developing a Decision Support System (DSS) to determine the best inventory management application. ROC is used to assign proportional weights to criteria based on priority ranking, while ARAS evaluates alternatives using these weights and relative utility values against the ideal solution. The developed system includes key features such as data management for criteria, alternatives, and values, as well as the ability to generate recommendations through alternative ranking. Based on a case study, the best alternative identified is Sortly: Inventory Simplified, with the highest utility score of 0.8627, followed by Housebook - Home Inventory (0.8528), inFlow Inventory (0.8336), and Inventory Stock Tracker (0.7056). Usability testing showed an average user acceptance rate of 91%, categorized as "Excellent". The main contribution of this research is the implementation of a practical and efficient combination of ROC and ARAS for selecting inventory management applications. The findings can be adopted by businesses to support more accurate and efficient decision-making.
Co-Authors Adhari, Vika Aidila Ahmed Jhordy Akhyar, Ramaulvi Muhammad Alimyaningtias, Wahyu Nur Always, Arya Annafi, Naufal Arbain Arbain, Arbain Atin Nuryadin Bagus Dwi Saputra Bintan, Yeva Elisa Yunita Fahrullah, Fahrullah Febri Ramanda Insan Prayitno, Pramudya Prima Jundillah, Muhammad Labib Lestari, Feni Puji Muhammad Labib Jundillah Muhammad Shodiq, Muhammad Palapa, Kaleb Gideon Rahmadani, Agung Ramanda, Febri Riendy, Riendy Rifkiansyah, Muhammad Risdin Saputra Robi Kurniawan Romisa, Fahmi Rosita, Dewi Sah, Andrian Sidik Praptomo Subastian, Eko Sudinugraha, Tri Tanniewa, Adam M Tri Sudinugraha Wahyu Nur Alimyaningtias