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Optimasi Pengelolaan Data Mahasiswa dalam Sistem Pendukung Keputusan Pemilihan Asisten Laboratorium Sutoyo, Muh. Nurtanzis; Akbar, Muh. Hajar; Paliling, Alders; Mardianto, Mardianto
Journal Research on Computing Knowledge Vol. 1 No. 1 (2024): November 2024
Publisher : Fakultas Teknologi Informasi

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Abstract

The selection of laboratory assistants is a crucial process that requires decision-making based on various criteria, such as academic performance, activeness, technical skills, and communication abilities. However, manual processes often face challenges such as subjectivity and inefficiency. This study aims to develop a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method to optimize the selection of laboratory assistants. We utilize the SAW method because it can integrate criterion weights and normalize data to produce objective preference values. We conducted a simulation using dummy data from 10 students and four criteria, applying weights determined through discussions with laboratory managers. The results show that student A5 achieved the highest preference score (1.000), reflecting optimal performance across all criteria. The developed system also demonstrated its ability to enhance the transparency, efficiency, and accuracy of the selection process. The implementation of this system offers a practical solution for managing student data and making fairer decisions, with potential applications in other selection contexts, such as scholarships or academic awards
SISTEM MONITORING PENGAJUAN DAN VALIDASI KEMIRIPAN JUDUL SKRIPSI BERBASIS ALGORITMA RABIN-KARP DAN SWR MENGGUNAKAN NEXT.JS Ilcham, Ilcham; Rifai, Sitti Najmia; Akbar, Muh. Hajar; Mardianto, Mardianto
Simtek : jurnal sistem informasi dan teknik komputer Vol. 11 No. 1 (2026): April 2026
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v11i1.1750

Abstract

Program Studi Sistem Informasi Universitas Sembilanbelas November Kolaka masih memproses pengajuan judul skripsi secara konvensional, sehingga memicu inefisiensi waktu dan rentan meloloskan duplikasi riset mahasiswa. Penelitian ini merancang aplikasi web interaktif berbasis framework Next.js untuk memantau alur pengajuan dan memvalidasi orisinalitas judul skripsi secara otomatis. Sistem menerapkan algoritma Rabin-Karp melalui tahapan stopword removal dan pembentukan K-Gram, kemudian menghitung tingkat kemiripan terhadap database alumni menggunakan Jaccard Coefficient dengan batas toleransi 40 persen. Peneliti mengintegrasikan strategi Stale-While-Revalidate (SWR) untuk memperbarui status pengajuan secara real-time. Implementasi sistem sukses memangkas birokrasi akademik, mewujudkan tata kelola paperless, dan menyaring keaslian dokumen secara akurat. Penerapan teknologi ini secara efektif mempercepat koordinasi multi-peran dan menjamin integritas karya ilmiah sejak tahap pendaftaran awal.