Modeling Car Driver Selection Using an Integrated Hybrid AHP-MOORA Approach
DOI:
https://doi.org/10.30871/jaic.v10i4.13333Keywords:
AHP, Driver Selection, Multi Criteria Decision Making, MOORAAbstract
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.
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[1] S. Malika, A. Zaini, and W. Wardhana, “Analisis Tren Kasus Kecelakaan Lalu Lintas Berbasis Dashboard Ambulance Hebat Di Kota Semarang Tahun 2023- 2025,” J. Ners, vol. 10, no. 1, pp. 1084–1091, 2026, doi: https://doi.org/10.31004/jn.v10i1.53018.
[2] G. Igneczi, T. Dobay, E. Horvath, and K. Nyilas, “Driver Clustering Based on Individual Curve Path Selection Preference,” Appl. Sci., vol. 15, no. 7718, pp. 1–17, 2025, doi: https://doi.org/10.3390/app15147718.
[3] S. Baco, N. S. Nokoe, K. Malarangan, and T. Y. Lestari, “Obstacles to Fulfilling Fault-Based Private Motor Vehicle Driver Responsibilities,” Int. J. Crim. Justice Sci., vol. 19, no. 1, pp. 191–204, 2024, doi: 10.5281/zenodo.19111.
[4] M. Feyzollahi, P. Pineau, and N. Rafizadeh, “Drivers of Driving : A Review,” Sustainability, vol. 16, no. 2479, pp. 1–42, 2024, doi: https://doi.org/10.3390/su16062479.
[5] Y. Chen, K. Wang, and J. J. Lu, “Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire,” Accid. Anal. Prev., vol. 185, no. June, p. 107022, 2023, doi: https://doi.org/10.1016/j.aap.2023.107022.
[6] N. Adira, Machmuroch, and P. A. Satwika, “Difficulties in Emotion Regulation and Optimistic Bias in Young Drivers ’ Risky Driving Behaviors,” Gadjah Mada J. Psychol., vol. 8, no. 1, pp. 95–110, 2022, doi: 10.22146/gamajop.72115.
[7] M. Poliak, J. Benus, J. Mazanec, and M. Cerny, “applied sciences The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic,” Appl. Sci., vol. 14, no. 3000, pp. 1–18, 2024, doi: 10.3390/app14073000.
[8] J. Zaranka, R. Peceliunas, and V. Žuraulis, “A Road Safety-Based Selection Methodology for Professional Drivers : Behaviour and Accident Rate Analysis,” Int. J. Environ. Res. Public Health, vol. 18, no. 23, pp. 1–18, 2021, doi: https://doi.org/10.3390/ ijerph182312487.
[9] H. A. Setyadi, A. Fauzi, G. S. Nurohim, and D. S. Perbawa, “Pemilihan Susu Formula Anak Menggunakan Metode Analytic Hierarchy Process Dan Simple Additive Weighting,” J. Teknol. Inf. dan Ilmu Komput., vol. 10, no. 2, pp. 349–358, 2023, doi: 10.25126/jtiik.2023106524.
[10] M. L. Pratama and N. S. Abdila, “A Cluster-Based Multi-Criteria Decision-Making Approach for Regional Economic Development Prioritization Using AHP – SAW,” J. Appl. Informatics Comput., vol. 10, no. 2, pp. 1577–1586, 2026, doi: https://doi.org/10.30871/jaic.v10i2.12445.
[11] M. A. Putri, “Integration of AHP and Rank Order Centroid in a Decision Support System for Selecting Social Media for MSMEs,” J. Appl. Informatics Comput., vol. 10, no. 1, pp. 1030–1037, 2026, doi: https://doi.org/10.30871/jaic.v10i1.12153.
[12] H. A. Setyadi and D. S. Perbawa, “Electric Bicycle Selection System Using Multi Criteria Decision Making,” J. Ilmu Pengetah. dan Teknol. Komput., vol. 10, no. 1, pp. 142–151, 2024, doi: 10.33480/jitk.v10i1.5163.Introduction.
[13] W. E. Ariawan, G. Indrawan, and I. G. A. Gunadi, “Comparison Of Profile Matching And Moora Methods In Determining Loan Eligibility,” J. Ilmu Pengetah. dan Teknol. Komput., vol. 10, no. 2, pp. 272–282, 2024, doi: 10.33480/jitk.v10i2.5608.related.
[14] F. N. Putra and A. T. Priandika, “Implementation of the Standard Deviation Multi-Objective Optimization by Ratio Analysis Method in Warehouse Staff Recruitment Selection,” Paradigma, vol. 27, no. 2, pp. 83–91, 2025, doi: https://doi.org/10.31294/p.v27i2.8373.
[15] K. E. Sembiring and A. S. Purnomo, “Implementasi Metode AHP dan Multi-Objective Optimization by Ratio (MOORA ) dalam Pemilihan Motor Listrik,” J. MEDIA Inform. BUDIDARMA, vol. 8, no. 3, pp. 1377–1387, 2024, doi: 10.30865/mib.v8i3.7723.
[16] M. Cubranic Dobrodolac, S. Jovcic, S. Boškovic, and D. Babic, “A Decision-Making Model for Professional Drivers Selection : A Hybridized Fuzzy – AROMAN – Fuller Approach,” Mathematics, vol. 11, no. 2831, pp. 1–24, 2023, doi: https://doi.org/10.3390/math11132831.
[17] J. Barus, Marsono, and V. W. Sari, “Sistem Pendukung Keputusan Perekrutan Driver Bus Menggunakan Metode Weighted Product,” J. Sist. Inf. TGD, vol. 2, no. 6, pp. 1008–1018, 2023, doi: 10.53513/jursi.v2i6.8726.
[18] Supriyanta, Y. Sutanto, D. Susilo, H. Ary, and A. Syukron, “Multi-Criteria Decision Making Method for Developing Smart Indonesia Program Scholarship Recipient Candidate System,” Int. J. INFORMATICS Vis., vol. 9, no. 6, pp. 2510–2518, 2025, doi: https://dx.doi.org/10.62527/joiv.9.6.3706.
[19] S. A. Nugroho and N. Wakhidah, “Sistem Pendukung Keputusan Penerima Bantuan Sosial dengan AHP dan MOORA,” J. Transform., vol. 23, no. 1, pp. 54–66, 2025, doi: https://doi.org/10.26623/transformatika.v23i1.12244.
[20] G. Prasasti, E. Darmanto, and S. P. Tomya, “Multi-Criteria Evaluation Based on MOORA for Improving Water Treatment Operations,” J. Inf. Syst. Informatics, vol. 7, no. 3, pp. 2345–2363, 2025, doi: 10.51519/journalisi.v7i3.1192.
[21] R. Chandra et al., “Pengembangan Aplikasi Rekomendasi Berbasis Mobile Pada Moora Dengan Pembobotan ROC,” J. Teknol. Inf. dan Ilmu Komput., vol. 12, no. 4, pp. 903–912, 2025, doi: https://doi.org/10.25126/jtiik.124.
[22] A. Paul and M. C. Das, “A decision support system for the selection of FDM process parameters using MOORA,” Manag. Sci. Lett., vol. 14, no. 3, pp. 181–188, 2024, doi: 10.5267/j.msl.2023.11.003.
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