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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Riau Journal of Computer Science JOIN (Jurnal Online Informatika) Jurnal Komputer Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Gestalt : Jurnal Desain Komunikasi Visual Journal of Intelligent Computing and Health Informatics (JICHI) JPM: JURNAL PENGABDIAN MASYARAKAT JIKI (Jurnal Ilmu Komputer dan Informatika) Global Science: Journal of Information Technology and Computer Science
Eka Prasetya Adhy Sugara
Institut Teknologi Dan Bisnis Palcomtech
Aerospace Engineering Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Intelligent Decision Support System Using MOORA Method for Admission Management Sugara, Eka Prasetya Adhy
Journal of Intelligent Computing & Health Informatics Vol 6, No 2 (2025): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v6i2.15754

Abstract

Admission management requires objective and transparent evaluation methods to ensure fairness and efficiency in both educational and healthcare institutions. Traditional selection processes often rely on subjective judgment, leading to bias and inconsistency. This study proposes an Intelligent Decision Support System (IDSS) using the Multi-Objective Optimization by Ratio Analysis (MOORA) method to optimize multi-criteria admission decisions. The system was developed and validated using real admission data from Madrasah Aliyah Negeri 1 Palembang, Indonesia, and designed for adaptability in healthcare contexts such as patient triage or staff recruitment. The MOORA approach was applied to normalize and weight four evaluation criteria, academic performance, written test, religious knowledge test, and interview results yielding objective and transparent rankings. The developed web-based IDSS, implemented using PHP, MySQL, and Apache, processed 340 applicant records in less than two seconds with consistent outcomes matching expert judgment. The findings confirm that mathematical optimization within intelligent frameworks can significantly enhance fairness, transparency, and reproducibility in admission evaluations across domains. This study contributes to the Intelligent Computing and Health Informatics field by demonstrating how MOORA can bridge educational and healthcare decision systems through a unified multi-criteria evaluation model. Future work will explore machine learning based adaptive weighting and fuzzy extensions of MOORA to address uncertainty and improve scalability in broader institutional applications.
Pengembangan Media Pembelajaran Interaktif dengan Menggunakan Metode Multimedia Development Life Cycle Mustika, Mustika; Sugara, Eka Prasetya Adhy; Pratiwi, Maissy
JOIN (Jurnal Online Informatika) Vol 2 No 2 (2017)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v2i2.139

Abstract

Media Pembelajaran memiliki peranan yang sangat penting pada proses perkuliahan. Media Pembelajaran yang digunakan pada mata kuliah Manajemen Proyek IT sub materi Metodologi Manajemen Proyek pada Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) PalComTech Palembang masih menggunakan modul yang didapat dari worksheet, dosen menggunakan metode ceramah dalam menjelaskan materi metodologi manajemen proyek. Metode ceramah masih memiliki kelemahan sehingga diperlukan pengembangan media pembelajaran. Penelitian ini mengunakan metode Multimedia Development Life Cycle (MDLC) dengan enam tahapan yaitu: konsep (Concept), perancangan (Desain), pengumpulan bahan(Material Collecting), pembuatan (Assembly), pengujian(Testing), dan distribusi (Distribution). Tujuan penelitian yaitu membuat media pembelajaran interaktif mata kuliah manajemen proyek, sub materi  metodologi Manajemen Proyek yang berisikan tentang tahapan inisiasi, perencanaan, pelaksanaan, pengawasan dan penutupan, serta dokumen-dokumen yang diperlukan dalam pembangunan proyek IT. Manfaat yang diharapkan adalah media pembelajaran ini dapat menjadi alat bantu dalam proses perkuliahan manajemen proyek yang ada di STMIK Palcomtech. Aplikasi sudah diuji melalui blackbox testing, dengan hasil pengujian semua indikator dinyatakan baik
Optimalisasi Pemanfaatan Generatif AI dalam Pemberdayaan Kreativitas Musik Penyandang Disabilitas Fatmariani; Eka Prasetya Adhy Sugara; Azalia Mawarindani Indra
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i1.2556

Abstract

Artificial Intelligence (AI) technology, especially Generative AI, opens up new opportunities in the fields of art and creativity, including in digital music production. This community service activity aims to empower people with disabilities through training in the use of Generative AI in the digital music creation process. The partner in this activity is a community of people with disabilities in the city of Palembang, namely the Sharing Disability Indonesia Foundation, who have an interest in music, but are physically and sensorily limited. The implementation method is carried out through a participatory approach with the following stages: technology socialization, training in the use of generative AI platforms such as Suno AI, and assistance in the process of producing digital music works. Evaluation is carried out through interviews and assessments of the quality of the musical works produced by participants. The results of this activity show that participants are able to use Generative AI independently to create original music, and experience increased self-confidence and creative expression. This community service proves that technology can bridge the access gap and become an inclusive tool that supports the empowerment of groups with disabilities in the world of art and technology. AI literacy is an important aspect that must be instilled from an early age, not only for people with disabilities but also the general public, so that they can understand, utilize, and adapt critically and creatively to technological advances. Based on the results of the questionnaire, the participants were in the 68-30% interval, meaning that this community service activity had a positive impact on increasing self-confidence and creativity for people with disabilities.
Quantum-Inspired Meta-Heuristic Algorithm for Large-Scale Graph Neural Network Training in Distributed Cloud-Edge Environments Eka Prasetya Adhy Sugara; Nurul Azwanti; Ivy Derla
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 2 (2025): June: Global Science: Journal of Information Technology and Computer Science
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i2.171

Abstract

This paper explores the application of quantum-inspired optimization algorithms in the training of large-scale Graph Neural Networks (GNNs) within distributed cloud-edge environments. GNNs have gained significant attention due to their ability to model complex relationships in graph-structured data, yet their training presents challenges such as high computational demand, inefficient resource allocation, and slow convergence, especially for large datasets. Traditional meta-heuristic algorithms, while useful, often face scalability and performance issues when applied to such large-scale tasks. To address these challenges, we propose a quantum-inspired meta-heuristic algorithm that leverages quantum principles, such as superposition and entanglement, to enhance optimization processes. The algorithm was integrated into a hybrid cloud-edge system, where computational tasks are dynamically distributed between edge nodes and the cloud, optimizing resource utilization and reducing latency. Our experimental results demonstrate significant improvements in training speed, resource efficiency, and convergence rate when compared to traditional optimization methods such as Genetic Algorithms and Simulated Annealing. The quantum-inspired algorithm not only accelerates the training process but also reduces memory usage, making it well-suited for large-scale GNN applications. Furthermore, the system's scalability was enhanced by the hybrid cloud-edge architecture, which balances computational load and enables real-time data processing. The findings suggest that quantum-inspired optimization algorithms can significantly improve the training of GNNs in distributed systems, opening new avenues for real-time applications in areas such as social network analysis, anomaly detection, and recommendation systems. Future work will focus on refining these algorithms to handle even larger datasets and more complex GNN architectures, with potential integration into edge devices for enhanced real-time decision-making.
Co-Authors Amir Hidayatullah Azalia Mawarindani Indra Fatmariani Guntoro Barovih, Guntoro Ivy Derla Khotop Khotop Maissy Pratiwi Muhammad Rudiansyah Mustika Mustika Mustika Mustika Mustika Mustika Mustika Mustika Mustika Mustika Nora Perawati Nurul Azwanti Nurussama Pratiwi, Maissy Ramadhani, Arsa Resha Salim Rozie Muhammad