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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Jatilima : Jurnal Multimedia Dan Teknologi Informasi TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Scientia MEANS (Media Informasi Analisa dan Sistem) Ulead : Jurnal E-pengabdian ORAHUA : Jurnal Pengabdian Kepada Masyarakat Pascal: Journal of Computer Science and Informatics
Kennedi Tampubolon
Universitas Budi Darma, Medan
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Journal : Pascal: Journal of Computer Science and Informatics

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A SAW-Based Decision Support System for Selecting Final Project Topics in the Informatics Management Department at STMIK Mulia Darma Siregar, Kristian; Siagian, Edward Robinson; Tampubolon, Kennedi
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 01 (2025): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

Selection of Final Project Topics is a crucial stage in the academic process, as it significantly affects the smoothness of project preparation and completion. However, the determination of final project topics often remains subjective and does not systematically consider students’ academic abilities. This study aims to design and develop a Decision Support System for selecting final project topics for students in the Informatics Management Department using the Simple Additive Weighting (SAW) method. The SAW method is employed to evaluate and rank alternative topics based on several criteria, including supporting course grades, student interest, programming skills, system analysis and design capabilities, and the availability of supervising lecturers. The results indicate that the SAW method can provide objective and transparent recommendations for final project topics. Based on the calculation, alternative A4 achieved the highest preference score of 0.962, making it the most recommended final project topic. Therefore, the developed system is expected to assist both students and academic staff in making more effective and structured decisions regarding final project topic selection.
Co-Authors Abdul Sani Sembiring Afriany, Joli Andri, Ricky Chandra F.Sianturi Chandra Frenki Sianturi Damanik, Sairanto Yana Fadillah, Rizkah Fitri Handayani Lubis Hutabarat, Sumiati Karolina Br Bangun, Gayatri Kristian Siregar Liza Handayani Maringan Sianturi Matondang, Zekson Arizona Mesran, Mesran Milawati Milawati Muhammad Syahrizal Natalia Silalahi Nur Sakinah Tanjung Riswan Limbong Rivalri Kristianto Hondro Satria Yudha Prayogi Sembiring, Abdul Sani Siagian, Edward Robinson Siddik Karo-Karo Sihotang, Noel Sinurat, Sinar Suginam Sulharmi Irawan Tamba, RL. Harmady Tarigan, Pilipus Yasir Hasan