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All Journal Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Artificial Intelligence and Technology Information
Muhammad Ikhsan Wibowo
Politeknik Negeri Bengkalis
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Library & Information Science Mechanical Engineering

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Evaluasi dan Pemilihan Supplier Pakan Ikan Terbaik Melalui Integrasi Metode SWARA-MAUT Lathifah Lathifah; Fadli Suandi; Muhammad Ikhsan Wibowo; Eva Yumami
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 1 (2026): Volume 4 Number 1 March 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i1.237

Abstract

Permasalahan dalam proses pemilihan pemasok pakan ikan terletak pada belum tersedianya suatu model sistem pendukung keputusan yang mampu mengevaluasi kinerja pemasok secara komprehensif berdasarkan data transaksi pembelian. Oleh karena itu, penelitian ini bertujuan untuk mengimplementasikan metode Step-wise Weight Assessment Ratio Analysis (SWARA) dalam menentukan bobot kriteria yang relevan pada proses seleksi pemasok pakan ikan terbaik, serta mengombinasikannya dengan metode Multi Attribute Utility Theory (MAUT) untuk menghasilkan keputusan akhir berupa pemeringkatan pemasok. MAUT merupakan suatu kerangka pengambilan keputusan yang sistematis dan terstruktur, yang dirancang untuk mengakomodasi kompleksitas serta ketidakpastian dalam evaluasi berbasis multi-kriteria. Sementara itu, metode SWARA berperan penting dalam proses pembobotan dengan memberikan tingkat kepentingan relatif pada setiap kriteria yang digunakan. Hasil analisis menunjukkan bahwa pemasok terbaik diperoleh oleh Pemasok 3 dengan nilai utilitas akhir sebesar 0,5795, diikuti oleh Pemasok 8 dengan nilai 0,5275 pada peringkat kedua, serta Pemasok 6 dengan nilai 0,3865 pada peringkat ketiga.
Integrated E-Learning System Development Using Next.js with Anti-Cheating Testing and Payment Integration Eva Yumami; Muhammad Ikhsan Wibowo; Agusviyanda; M. Khairul Anam
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.27066

Abstract

The advancement of information technology has significantly increased the adoption of e-learning in the educational process. However, many e-learning systems still face limitations, such as the lack of integration between learning management, evaluation systems, and payment features. This study aims to design and implement a web-based e-learning system called NexusLearn that integrates course management, Computer-Based Testing (CBT) with anti-cheating mechanisms, and a payment gateway into a unified platform. The system is developed using the Software Development Life Cycle (SDLC) method, which includes requirement analysis, system design, implementation, and testing. The application is built using the Next.js framework and applies Role-Based Access Control (RBAC) to manage user access based on roles. The results show that the system successfully integrates learning, assessment, and transaction features into a single platform. The CBT module supports dynamic question navigation, real-time timers, automatic answer saving, and anti-cheating mechanisms such as tab-switch detection and automatic submission. The payment feature enables secure and automated transactions through Midtrans integration. Based on Black-box Testing results, all system functionalities operate as intended across key features, including authentication, course management, examination, and payment processing. These findings indicate that the NexusLearn system effectively improves integration, security, and efficiency in e-learning environments and has strong potential for implementation in educational institutions.
Co-Authors Agusviyanda Anam, M Khairul Fadli Suandi Lathifah Lathifah Yumami, Eva