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Hendry Gunawan, Hendry
Laboratorium Fisika Bumi, Jurusan FisikaFMIPA Universitas Andalas
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Penerapan Metode Weighted Product dalam Sistem Pendukung Keputusan Rekomendasi Pemilihan Jurusan Kuliah di Perguruan Tinggi Halim, Suherman; Putra Dini, Geyza Falihy; Gunawan, Hendry; Samsuni, Sunny
Jurnal Sistem Informasi Vol. 13 No. 1 (2026)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/4m084410

Abstract

Determining a college major is an important decision that students often make without objective consideration, risking a mismatch between interests and abilities, which can ultimately lead to changing majors or dropping out. This research aims to design and implement a web-based Decision Support System (DSS) capable of providing objective major recommendations by considering students' academic abilities. The Weighted Product (WP) method was chosen due to its capability in handling multi-criteria problems with proportional weighting and automatic normalization. The system was developed using a technology stack of PHP, MySQL, HTML, CSS, and JavaScript, with XAMPP as the local server. Data was collected from 30 students of grade XII Science program at SMAN 8 Kota Serang, covering scores from six subjects (Mathematics, English, Indonesian, Physics, Chemistry, Biology) and five alternative engineering majors (Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Informatics). Testing results show that the system can generate major recommendations in less than 2 seconds. Accuracy evaluation using blackbox testing and cross-validation between final grades and try-out scores resulted in a compatibility rate of 36.67% for recommendations based on try-out scores, which is statistically more accurate compared to final grade-based recommendations (with 63.33% incompatibility). These findings indicate that try-out data is more representative in predicting academic potential for university admission. This system has proven to be effective, efficient, and has significant potential to be adopted by educational institutions as a data-based counseling tool
Co-Authors Adikara, Fransiskus Agus Nursikuwagus Angel, Valencia Arif Budiman Arif, Luthfi Saiful Ayuwandari, Nenda Bambang Setiawan Didi Wandi Donny Nauphar Evi Martaseli fatoni, malik Faustine A., Febiani Frandinata, James Gani, Hadrian Geraldo H, Timothy Gunawan, Irene halim, suherman Hambarsari, Yetty Han Yang Hartanto, Krisandi Haryo, Rachmanda Hasyriningsih Asfar, Andi Herlambang, Penggalih M Ichwani, Arief Ilham Alamsyah Ilhamsyah, Rudi Iswahyudi, Raden Teddy Iwan Setiawan Kuntjoro, Antonius Puspo Max Emman, ⁠Irene Meidianawaty, R. Vivi Nixon Erzed Nizirwan Anwar Nugroho Budhisantosa Nur Ekasari, Esti Nurkholifah, Ayu Pradana, Muhammad Firyal Pratama, Anggoro Yudha Putra Dini, Geyza Falihy Raden Harya Dananjaya, Raden Harya Ramadhan, Ferry Muhamad Renaldy, Renaldy Ruwirohi, Jan Everhard Salsabila, Zalfa Samsuni, Sunny Sandfreni, Sandfreni Santoso, Markus Sariadi, Dasa Siti Fatonah Siti Maria Ulfah, Siti Maria Suherman Wibisono, Rachmanda Haryo Widyawan, Tri Ismardiko Yulfitri, Alivia Zahra, Surti