Integrasi Metode Weighted Product (WP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Pendukung Keputusan Penentuan Asisten Dosen

Muthmainnah, Aindri Rizky
Pamput, Jessicha Putrianingsih
Adiba, Fhatiah
Surianto, Dewi Fatmarani
Nasrullah, Asmaul Husnah
Budiarti, Nur Azizah Eka

Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol. 7 No. 2 (2025): September

The selection of teaching assistants requires an objective and effective decision-making system. This study designs a decision support system for selecting assistants in the Algorithm and Basic Programming course at JTIK, Universitas Negeri Makassar, by integrating the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. WP assigns weights to evaluation criteria, while TOPSIS identifies the best candidates based on positive and negative ideal distances. The criteria include academic performance, communication, subject mastery, and teaching experience. Testing results show that the system produces consistent selections, aligned with manual calculations and recruitment outcomes, proving its validity and effectiveness in supporting the selection process.