Model Pengambilan Keputusan Seleksi Jabatan Dekan dengan Metode Weighted Performance Indicator Berdasarkan Opini Responden
Decision-Making Model for Dean Position Selection Using the Weighted Performance Indicator Method Based on Respondent Opinions
DOI:
https://doi.org/10.57152/malcom.v4i4.1622Keywords:
Model Penilaian Kinerja, Opini Responden, Pemilihan Dekan, Sistem Pendukung Keputusan, Weighted Performance IndicatorAbstract
Pemilihan Dekan di tingkat universitas merupakan proses penting yang berdampak signifikan terhadap kualitas pendidikan, riset, dan pengabdian masyarakat di fakultas. Namun, proses ini sering menghadapi tantangan seperti subjektivitas, kurangnya transparansi, dan ketidakjelasan kriteria penilaian. Penelitian ini bertujuan mengembangkan model pengambilan keputusan dalam seleksi jabatan Dekan dengan menggunakan metode Weighted Performance Indicator (WPI) yang berbasis pada opini responden. Metode WPI menggabungkan berbagai kriteria dan indikator untuk mengevaluasi kinerja kandidat secara objektif dan transparan. Penelitian ini menggunakan kriteria seperti kualifikasi akademik, pengalaman kepemimpinan, kontribusi penelitian, kemampuan manajerial, visi strategis, kepatuhan terhadap kebijakan universitas, kualitas komunikasi, dan pengalaman pengelolaan konflik untuk menilai tiga kandidat dekan. Hasil evaluasi menunjukkan bahwa Kandidat 1 memperoleh nilai WPI tertinggi sebesar 134,23, diikuti oleh Kandidat 2 dengan nilai 120,59, dan Kandidat 3 dengan nilai 111,05. Temuan ini menunjukkan bahwa metode WPI efektif memberikan hasil yang lebih objektif dan dapat diandalkan dalam proses pemilihan Dekan, yang diharapkan dapat meningkatkan kualitas kepemimpinan fakultas dan pencapaian tujuan akademik serta strategis universitas
References
T. Terttiaavini, F. Zamzam, M. Ramadhan, and T. S. Saputra, “Knowledge Mangement System sebagai Dasar Pengembangan Sistem Informasi Kinerja Dosen,” J. Ilim. Inform. Glob., vol. 11, no. 2, pp. 1–6, 2020, doi: 10.36982/jiig.v11i2.1200.
T. Terttiaavini and R. Wiryasaputra, “Pengembang Sistem Informasi Kinerja Dosen berbasis WEB dalam upaya meningkatkan Kompetensi Dosen di Universitas Indo Global Mandiri,” Inform. Glob., vol. 4, no. 2, pp. 42–53, 2013.
A. Olumide S., B. Olutayo K., and S. E. Adekunle, “A Review of Electronic Voting Systems: Strategy for a Novel,” Int. J. Inf. Eng. Electron. Bus., vol. 12, no. 1, pp. 19–29, 2020, doi: 10.5815/ijieeb.2020.01.03.
T. Terttiaavini and E. Ermatita, “Sistem Penilaian Kinerja Dosen menggunakan Decision Maker Respondent Opinion Model,” J. Ilm. Inform. Glob., vol. 13, no. 1, pp. 76–81, 2022, doi: 10.36982/jiig.v13i1.2041.
T. G. Soares, A. Z. Abidin, and T. Wahyuningrum, “Combining Analytical Hierarchy Process Method - Profile Matching Method for the Best Dean’s List Selection,” Prim. Sci. Eng., vol. 2, no. 1, pp. 34–46, 2022, doi: 10.56831/psen-02-026.
R. T. Sandya and R. H. Laluma, “Penerapan Metode Complex Proportional Assesment ( COPRAS ) dalam Pemilihan Dekan Fakultas Teknik,” Inf. Syst. Res. J., vol. 4, no. 1, pp. 1–7, 2024.
H. M. M. Ahmed, A. A. E. A. Allah, and Kamel, “A university leader selection novel intelligent system based on Fuzzy-AHP and PROMETTEE II,” Int. J. Inf. Technol., vol. 15, no. July, pp. 3857–3871, 2023, [Online]. Available: https://link.springer.com/article/10.1007/s41870-023-01344-1
H. Jimad, M. Maarif, M. Affandi, and A. Sukmawati, “Leadership Strategy of State University Public Service Agency to Increasing Organizational Performance in Indonesia,” Int. Bus. Account. Res. J., vol. 4, no. 1, p. 23, Jan. 2020, doi: 10.15294/ibarj.v4i1.110.
B. D. Culp, The art of appraisal: Effective tools and streamlined processes to boost teacher performance. books.google.com, 2017. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=X6szDwAAQBAJ&oi=fnd&pg=PR7&dq=teacher+performance+appraisal+decesion+support+system&ots=y8yRAD9tfv&sig=EkNYEMQmKuli4BCFFecZsD2n7OQ
E. K. Zavadskas, P. Vaini?nas, Z. Turskis, and J. Tamošaitien?, “Multiple criteria decision support system for assessment of projects managers in construction,” Int. J. Inf. Technol. Decis. Mak., vol. 11, no. 2, pp. 501–520, Mar. 2012, doi: 10.1142/S0219622012400135.
A. O. Idowu, “Effectiveness of Performance Appraisal System and its Effect on Employee Motivation Idowu,” Nile J. Bus. Econ., vol. 5, no. April, pp. 15–39, http://dx.doi.org/10.20321/nilejbe.v3i5.88, 2017.
M. L. Ribeiro, M. L. Vasconcelos, and F. Rocha, “Monitoring performance indicators in the Portuguese hospitality sector,” Int. J. Contemp. Hosp. Manag., vol. 31, no. 2, pp. 790–811, Feb. 2019, doi: 10.1108/IJCHM-03-2017-0178.
S. Daulay, “LECTURER PERFORMANCE DECISION SUPPORT SYSTEM USING,” J. Appl. Eng. Technol. Sci., vol. 2, no. 1, pp. 42–49, 2020.
S. G. Fashoto, O. Amaonwu, Aderenle, and Afolorunsho, “Development of a decision support system on employee performance appraisal using AHP model,” Int. J. Informatics Vis., vol. 2, no. 4, pp. 262–267, 2018, doi: 10.30630/joiv.2.4.160.
M. Beyranvand, A. mohamad Ahmadvand, and H. Eghbali, “Designing a Model for Evaluation of Bank Managers’ Performance Using AHP-BSC Approach (Case Study of Mellat Bank Branches in Tehran),” Int. J. Eng. Technol., vol. 11, no. 6S, pp. 87–100, 2019, doi: 10.21817/ijet/2019/v11i6/191106097.
I. Kaliszewski and D. Podkopaev, “Simple Additive Weighting – a metamodel for Multiple Criteria Decision Analysis methods,” Expert Syst. Appl., pp. 1–7, 2016, doi: 10.1016/j.eswa.2016.01.042.
T. Terttiaavini, F. Zamzam, M. Ramadhan, and T. S. Saputra, “Design a Decision Support System to Evaluate The Performance of Indonesian Lecturers by Developing a Simple Additive Weighting Method,” Test Eng. Manag., vol. 28, no. 11, pp. 36–41, 2019, [Online]. Available: http://sersc.org/journals/index.php/IJAST/article/view/1038/903
Painem and H. Soetanto, “Decision Support System with Simple Additive Weighting for Recommending Best Employee,” in Proc. EECS, Bandung, 2019, pp. 438–441. Accessed: Mar. 23, 2021. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8977031/
M. Djunaidi, V. S. D. Kumaraningrum, I. Pratiwi, and H. Munawir, “Integration of 360-degree feedback methods and AHP for employee performance measurement,” in Proceedings of the International Conference on Industrial Engineering and Operations Management, 2019, pp. 2616–2623.
Terttiaavini, “Sistem Informasi Evaluasi Kinerja Dosen Dengan Metode 360 Degree Berbasis Web,” in Sistem Informasi Evaluasi Kinerja Dosen Dengan Metode 360 Degree Berbasis Web. Seminar Nasional Teknologi Informasi dan Multimedia, 2014, pp. 1-5|ISSN : 2302-3805.
D. Carlucci, “Evaluating and selecting key performance indicators: An ANP-based model,” Meas. Bus. Excell., vol. 14, no. 2, pp. 66–76, 2010, doi: 10.1108/13683041011047876.
S. M. R. Mirahmadi, A. Attafar, and S. Ketabi, “Developing a fuzzy ANP model for performance appraisal based on firm strategy,” Decis. Sci. Lett., vol. 7, no. 3, pp. 243–256, 2018, doi: 10.5267/j.dsl.2017.9.001.
F. Purwani, N. Jalinus, and A. Ambiyar, “The Design of Lecturer Performance Evaluation Model Based on Analytic Network Process (ANP).” 2017.
M. Turnip, Pipin, S. Aisyah, A. C. Sembiring, and E. Murniarti, “Decision Support System of Teacher Performance Assessment with Smart Method,” J. Phys. Conf. Ser., vol. 1361, no. 1, 2019, doi: 10.1088/1742-6596/1361/1/012066.
V. N. S. Lestari, H. Djanggih, A. Aswari, N. Hipan, and A. P. U. Siahaan, “Technique for Order Preference by Similarity to Ideal Solution as Decision Support Method for Determining Employee Performance of Sales Section,” Int. J. Eng. Technol., vol. 7, no. 2.14, pp. 281–285, 2018, doi: 10.14419/ijet.v7i2.12.14693.
N. Hein, A. Kroenke, and M. M. R. Júnior, “Professor Assessment Using Multi-Criteria Decision Analysis,” Procedia Comput. Sci., vol. 55, pp. 539–548, 2015, doi: https://doi.org/10.1016/j.procs.2015.07.034.
Safrizal, L. Tanti, I. F. Rahmad, and Y. Thanri, “Monitoring and Evaluation of Flight Instructor Performance with PROMETHEE Method,” in iThe 6th International Conference on Cyber and IT Service Management (CITSM 2018) Inna Parapat Hotel – Medan, August 7-9, 2018 Monitoring, 2018, p. 6. Accessed: Mar. 22, 2021. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8674261/
T. Terttiaavini, Y. Hartono, Ermatita, and D. P. Rini, “Building a Weighted Performance Indicator Concept utilized the Respondent’s Opinion Approach,” in Proceeding - ICERA 2021: 2021 3rd International Conference on Electronics Representation and Algorithm, ieeexplore.ieee.org, 2021, pp. 137–142. doi: 10.1109/ICERA53111.2021.9538635.
Terttiaavini, Y. Hartono, Ermatita, and D. P. Rini, “Building a Weighted Performance Indicator Concept utilized The Respondent ’ s Opinion Approach,” in 2021 3rd International Conference on Electronics Representation and Algorithm (ICERA), IEEE, 2021, pp. 137–142. doi: 10.21203/rs.3.rs-178466/v1.
T. Terttiaavini, Y. Hartono, E. Ermatita, and D. P. Rini, “Comparison of Simple Additive Weighting Method and Weighted Performance Indicator Method for Lecturer Performance Assessment,” Mod. Educ. Comput. Sci., vol. 15, no. 2, pp. 1–11, 2023, doi: 10.5815/ijmecs.2023.02.01.
