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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Mhd. Galih Khairi
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Engineering

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MODEL KEPUTUSAN PEMILIHAN ASISTEN LABORATORIUM MENGGUNAKAN LOGIKA FUZZY TSUKAMOTO : LABORATORY ASSISTANT SELECTION DECISION MODEL USING TSUKAMOTO FUZZY LOGIC Mhd. Galih Khairi; Armansyah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.5881

Abstract

The selection of the right laboratory assistant is very important to support the smooth running of the practicum process in the academic environment. However, conventional selection methods still have weaknesses, such as subjectivity in assessment and time-consuming processes. Therefore, this study develops a decision model based on Tsukamoto fuzzy logic to improve the objectivity and efficiency of laboratory assistant selection. This model uses five main criteria in the assessment, namely academic grades, expertise, ethics, programming tests, and communication skills. The results of the study indicate that the Tsukamoto fuzzy method can produce more transparent and accurate decisions compared to conventional methods. Trials with several candidates show that this model is able to categorize candidates based on the level of eligibility with high accuracy and a margin of error of 0%. Thus, the implementation of this method is expected to improve the effectiveness of the laboratory assistant selection process more fairly and efficiently.
Co-Authors Armansyah Armansyah