Heru Purwanto
Universitas Bina Sarana Informatika

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Penerapan Metode AHP dalam Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Berbasis Multi-Kriteria Heru Purwanto
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2414

Abstract

There are many aspects that must be considered, ranging from academic grades, family economic conditions, to student activity in the organization. When all of this is assessed without a structured approach, the results can feel less consistent. From there, there is a need to use a more systematic method, one of which is the Analytic Hierarchy Process or AHP, which in this study is used to help determine the priorities of scholarship recipients more rationally. The approach used is quantitative, with a multi-criteria decision-making framework. The data was collected through direct observation in the campus environment, then deepened with a paired comparison questionnaire filled out by parties involved in the selection process. After that, the analysis is carried out gradually. Starting from compiling a decision hierarchy, then calculating the priority weight using eigenvectors, to finally checking the consistency of the assessment through the Consistency Ratio. In this part, there are sometimes small doubts about whether all the assessments are really stable, but that's what makes the process feel more controlled. The results obtained show something quite interesting. Academic achievement turned out to be the most dominant criterion compared to others, and directly affected the final results of the selection. From the AHP calculation, one candidate emerged with the highest score of 0.6127, which placed him as the most deserving scholarship recipient.
Modeling Car Driver Selection Using an Integrated Hybrid AHP-MOORA Approach Resiwara Cinantya Kusuma Kawekas; Heru Purwanto
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13333

Abstract

In transport management, traditional driver selection methods suffer from subjectivity and reactiveness, which directly increase traffic hazards, asset liabilities, and corporate operational expenditures. To address human cognitive limitations in concurrently analyzing complex multi criteria (physical, personality, and technical facets), this research deploys a computational Decision Support System (DSS) to secure objective, measurable quality standards and operational safety. The primary objective is to develop an integrated AHP-MOORA framework to optimize the recruitment pipeline. By leveraging AHP for criteria prioritization and MOORA for alternative evaluation, the proposed system yields optimized driver recommendations tailored to specific user requirements. The model incorporates seven distinct criteria: working experience, license classification, age, personality, educational background, residential proximity, and examination scores. Performance testing via a confusion matrix reveals that the constructed DSS delivers high robustness, achieving 87.5% Accuracy, 83.3% Recall, and a 90.9% F1-Score. Remarkably, the system attains a flawless 100% Precision rate, substantiating its optimal ability to yield highly targeted driver recommendations while entirely eliminating false-positive classifications.