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All Journal Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Ilmiah Informatika dan Ilmu Komputer
Wibawa, Yohanes Eka
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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PEMBANGUNAN PERANGKAT LUNAK KOMUNITAS MEDIA MUSIK DENGAN FRAMEWORK REACT NATIVE DAN FIREBASE BERBASIS ANDROID DAN IOS Wibawa, Yohanes Eka; Naufal, Muhammad
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 6 No. 2 (2023): Volume VI - Nomor 2 - Maret 2023
Publisher : Teknik Informatika, Sistem Informasi dan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v6i2.515

Abstract

Abstract—Pembangunan aplikasi ini berupa aplikasi Mobile Android dan IOS, dimana kedua platform OS (Operating System) itu sudah menguasai pangsa pasar, dengan pengguna terbanyak di seluruh Indonesia. Aplikasi ini dibuatkan khusus untuk PT Boleh Net Indonesia (Boleh Music). Dalam pembuatan aplikasi ini dibangun dengan menggunakan EXPO. EXPO adalah framework React Native yang didalamnya terdapat SDK (Software Devolopment Kit) yang memungkinkan untuk membangun aplikasi Android dan IOS secara bersamaan. Sedangkan React Native sendiri adalah framework javascript yang dibangun oleh Facebook. Dan metode yang digunakan dalam pembangunan perangkat lunak ini adalah Scrum salah satu metode perancangan Agile.
Sistem Pendukung Keputusan Pemberian Kredit Koperasi Simpan Pinjam Menggunakan Metode MARCOS dan Rank Order Centroid Badiwibowo Atim, Sandi; Wibawa, Yohanes Eka
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 1 (2024): Volume 3 Number 1 March 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i1.22

Abstract

Savings and loan cooperatives are an economic organization that aims to provide financial support to their members through savings and lending mechanisms. The problem experienced by XYZ savings and loan cooperatives is that no creditworthiness assessment system exists in the cooperative. The credit granting process is carried out by conducting a survey from survey officers through forms, submission requirements, and member business taxation formats to conduct committee meetings. This study aims to apply a decision model in lending to savings and loan cooperative customers by applying the MARCOS method with the centroid rank order weighting method so that the results of applying this method become a decision recommendation for the cooperative in determining credit. The ranking results above show the recommendation for providing the first credit to customer 5 with a final value of 0.89323 getting rank 1, then customer 6 with a final value of 0.82269 getting rank 2, and customer 2 with a final value of 0.78972 getting rank 3.
Improving Decision Accuracy Through LOPCOW Weighting and AROMAN Methods in Retail Store Location Selection Setiawansyah, Setiawansyah; Fernando, Yusra; Wahyudi, Agung Deni; Wibawa, Yohanes Eka; Nuris, Nuzuliarini
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 4 No. 1 (2025): Volume 4 Nomor 1 March 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v4i1.57

Abstract

Choosing a strategic store location is an important factor in retail business success, but this decision is often influenced by data uncertainty and scale differences among criteria that can lead to bias in the decision-making process. This study proposes the use of LOPCOW to objectively determine the criterion weights based on data variability among alternatives, and AROMAN to reduce the influence of scale differences among criteria through gradual normalization. With this approach, it is hoped to obtain a more accurate, fair, and consistent ranking of locations. The ranking results in the selection of retail store locations are based on the final value of each alternative location. The location with the code LKM ranks highest with a final value of 0.8212, indicating that this location has the most optimal characteristics compared to other locations. The results of the study show that the combination of these two methods can produce more optimal and reliable decisions in selecting retail store locations, which in turn can enhance competitiveness and operational success in the retail business. The contribution from the ranking results of this retail store location provides significant strategic insights in the decision-making process for business expansion. By leveraging a quantitative approach that generates a final value for each location alternative, this research is able to provide an objective foundation for managers or decision-makers in selecting the best location. The identification of LKM locations as the most superior alternative indicates that the evaluation method used is effective in revealing the competitive advantages of a location based on the established criteria.
Co-Authors Badiwibowo Atim, Sandi Fernando, Yusra Muhammad Naufal, Muhammad Nuzuliarini Nuris Setiawansyah Setiawansyah Wahyudi, Agung Deni