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All Journal JIKUM: Jurnal Ilmu Komputer
Miftahul Ulum
Universitas Nurul Huda, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management

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Penggunaan metode SAW dalam pendukung Keputusan pemilihan pegawai terbaik di MTs Nurul Huda Sukaraja Miftahul Ulum; Rico Setiawan; Fitri Apriani; Thoha Firdaus
JIKUM: Jurnal Ilmu Komputer Vol. 1 No. 2 (2025): JIKUM: Jurnal Ilmu Komputer, November 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v1i2.74

Abstract

The selection of the best employee at MTs Nurul Huda Sukaraja was previously conducted subjectively through teacher voting without a measurable evaluation system. This study aims to implement the Simple Additive Weighting (SAW) method in a decision support system to enhance objectivity and accuracy in assessing employee performance. The method involves assigning weights to criteria such as attendance, discipline, work ethic, and communication, followed by normalization and ranking based on the final scores of each employee. Data were collected through observation, literature review, and interviews. The results showed that the employee named Ariyanto achieved the highest score (2.7061) and was designated as the best employee. The implementation of the SAW method proved effective in facilitating a more fair, systematic, and transparent selection process, supporting human resource management in the school environment.
Co-Authors Fitri Apriani Rico Setiawan Thoha Firdaus