Determination of Exemplary Lecturer Decision Making with Modified Attributes and Criteria Prioritization Technique

Usanto; Lela  Nurlaela; Reza  Syahrial

doi:10.47709/cnahpc.v5i1.2143

Authors

Usanto Fakultas Teknologi, Institut Teknologi dan Bisnis Swadharma
Lela Nurlaela Fakultas Teknologi, Institut Teknologi dan Bisnis Swadharma
Reza Syahrial Fakultas Teknologi, Institut Teknologi dan Bisnis Swadharma

DOI:

10.47709/cnahpc.v5i1.2143

Keywords:

Decision Model Analysis, Determination od Exemplary Lecturer, Rank Order Centroid, Modified Attributes

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Abstract

The problem of determining exemplary lecturers is included in the multi-criteria decision making problem because the assessment can be based on predetermined assessment criteria. Consequently, determining exemplary lecturers is an important aspect of improving the quality of education in an institution. In order for the final outcomes of exemplary lecturers to be objective and to examine various values for each criterion and criterion characteristic, decision-making processes are obviously required. Consequently, the goal of this study is to provide a model for evaluating the performance of exemplary lecturers by employing decision making with changed criterion characteristics and criteria prioritization strategies based on the Rank Order Centroid (ROC) method. At the end of the procedure, the best alternative will be chosen based on the choice assessment model for identifying excellent lecturers with a case study at institution XYZ. Analysis of the final results revealed that the decision assessment model was influenced by modifying the assessment attributes using a Likert scale. The final results revealed that one of three alternative candidates for exemplary lecturer was selected based on alternative values for each criterion.

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References

Ahn, B. S. (2017). Approximate weighting method for multiattribute decision problems with imprecise parameters. Omega (United Kingdom). https://doi.org/10.1016/j.omega.2016.11.006

Barron, F. H., & Barrett, B. E. (1996). The efficacy of SMARTER - Simple Multi-Attribute Rating Technique Extended to Ranking. Acta Psychologica, 93(1–3), 23–36. https://doi.org/10.1016/0001-6918(96)00010-8

Danielson, M., & Ekenberg, L. (2017). A Robustness Study of State-of-the-Art Surrogate Weights for MCDM. Group Decision and Negotiation, 26(4), 677–691. https://doi.org/10.1007/s10726-016-9494-6

Fauzi, A. A., Kom, S., Kom, M., Budi Harto, S. E., MM, P. I. A., Mulyanto, M. E., Dulame, I. M., Pramuditha, P., Sudipa, I. G. I., & Kom, S. (2023). Pemanfaatan Teknologi Informasi Di Berbagai Sektor Pada Masa Society 5.0. PT. Sonpedia Publishing Indonesia.

Hatefi, M. A. (2023). An Improved Rank Order Centroid Method (IROC) for Criteria Weight Estimation: An Application in the Engine/Vehicle Selection Problem. Informatica, 1–22.

I Gede Iwan Sudipa. (2018). Decision Support System Dengan Metode AHP, SAW dan ROC Untuk Penentuan Pemberian Beasiswa (Studi Kasus STMIK STIKOM INDONESIA). Jurnal Teknologi Informasi Dan Komputer, 4(1), 18–30.

Johan, T. M., & Ahmalia, R. (2019). Penilaian Mutu Dosen terhadap Tri Dharma Perguruan Tinggi dengan Menerapkan Logica Fuzzy Logic di STIKES Nan Tongga. Jurnal Akademika Baiturrahim Jambi, 8(2), 175–182.

Kunsch, P. L., & Ishizaka, A. (2019). A note on using centroid weights in additive multi-criteria decision analysis. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2019.02.021

Labolo, A. Y. (2020). Sistem Pendukung Keputusan Penilaian Kinerja Dosen Dengan Menggunakan Metode Additive Ratio Assessment (ARAS). Simtek: Jurnal Sistem Informasi Dan Teknik Komputer, 5(1), 31–35.

Madona, H. D. (2020). Sistem Pendukung Keputusan Penentuan Dosen Teladan Menggunakan Logika Fuzzy Mamdani Dan Elimination And Choice Expressing Reality (Studi Kasus: STMIK Surya Intan Kotabumi). Aisyah Journal Of Informatics and Electrical Engineering, 2(1), 45–51.

Muhammad Wali, S. T., Efitra, S., Kom, M., Sudipa, I. G. I., Kom, S., Heryani, A., Sos, S., Hendriyani, C., Rakhmadi Rahman, S. T., & Kom, M. (2023). Penerapan & Implementasi Big Data di Berbagai Sektor (Pembangunan Berkelanjutan Era Industri 4.0 dan Society 5.0). PT. Sonpedia Publishing Indonesia.

Ningtyas, S., Usanto, U., & Purnomo, N. A. (2022). Perancangan Sistem Pendukung Keputusan Key Performance Indicator Karyawan Pt Iss Area Unika Atmajaya. JRIS: Jurnal Rekayasa Informasi Swadharma, 2(1), 41–47.

Nurlaela, L. (2018). Metodologi Penelitian Terapan Aplikasi SPSS, Eviews, Smart PLS dan Amos. Jakarta: Pustaka Amri.

Nurlaela, L., & Usanto, S. (2021). Sistem Pendukung Keputusan Pemeringkatan Siswa Menggunakan Metode Saw (simple Additive Weigthing). JEIS: Jurnal Elektro Dan Informatika Swadharma, 1(2), 19–25.

Nyoto, N. (2021). Eksplorasi Kinerja Dosen Melalui Tri Dharma Perguruan Tinggi. Procuratio: Jurnal Ilmiah Manajemen, 9(4), 428–438.

Setyowati, L. (2020). Determinan Yang Mempengaruhi Kinerja Dosen Dalam Pelaksanaan Tri Dharma Perguruan Tinggi. BJRM (Bongaya Journal of Research in Management), 3(2), 28–32.

Sucahyo, N., & Nurlaela, L. (2021). Sistem Pendukung Keputusan Kelulusan Pelatihan Kerja Menggunakan Metode Fuzzy. JEIS: Jurnal Elektro Dan Informatika Swadharma, 1(2), 33–38.

Sudipa, I. G. I., & Aryati, K. S. (2019). Pendekatan Penentuan Bobot dengan Surrogate Weighting Procedures untuk Metode Simple Additive Weighting dalam Pengambilan Keputusan Multikriteria. International Journal of Natural Science and Engineering, 3(3), 113–121.

Sudipa, I. G. I., Kharisma, L. P. I., Waas, D. V., Sari, F., Sutoyo, M. N., Rusliyadi, M., Setiawan, I., Martaseli, E., Sandhiyasa, I. M. S., & Sulistianto, S. W. (2023). Penerapan Decision Support System (Dss) Dalam Berbagai Bidang (Revolusi Industri 4.0 Menuju Era Society 5.0). PT. Sonpedia Publishing Indonesia.

Sudipa, I. G. I., & Puspitayani, I. A. D. (2019). Analisis Sensitivitas AHP-SAW dan ROC-SAW dalam Pengambilan Keputusan Multikriteria. International Journal of Natural Science and Engineering, 3(2), 85–95.

Sudipa, I. G. I., Wiguna, I. K. A. G., Asana, D. P., Putra, I. N. T. A., & Sugiartawan, P. (2022). Combination Of Macbeth Method And Rank Order Centroid Techniques In Determining The Best Tourism Location In East Bali. Proceeding International Conference on Information Technology, Multimedia, Architecture, Design, and E-Business, 2(0 SE-Articles). https://eprosiding.idbbali.ac.id/index.php/imade/article/view/708

Suranti, D. (2021). Penerapan Metode Simple Multi Atributte Rating Technique (Smart) Dalam Pemilihan Dosen Terbaik. Jurnal Informatika Dan Komputer, 4(1), 8–15.

Sureeyatanapas, P. (2016). Comparison of rank-based weighting methods for multi-criteria decision making. KKU ENGINEERING JOURNAL.

Udayana, I. P. A. E. D., Indrawan, I. G. A., & Putra, I. P. D. G. A. (2023). Decision Support System for Sentiment Analysis of Youtube Comments on Government Policies. Journal of Computer Networks, Architecture and High Performance Computing, 5(1), 27–37.

Usanto, U. (2022). Dampak Penerapan Kurikulum Merdeka Terhadap Dosen Dan Mahasiswa Pada Perguruan Tinggi. Kompleksitas: Jurnal Ilmiah Manajemen, Organisasi Dan Bisnis, 11(2), 49–56.

Usanto, U., Dharmalau, A., & Alfatikha, S. (2022). Sistem Penunjang Keputusan Penentuan Promosi Jabatan Dengan Metode Penilaian 360 Feedback Berbasis Website. JRIS: Jurnal Rekayasa Informasi Swadharma, 2(2), 16–25.

Wijaya, B. K. et al. (2022). Sistem Penentuan Keputusan Kelayakan Penerima Kredit Menggunakan Metode Roc-Saw: Decision Eligibility Decision System Of Credit Receiver Using Roc-Saw Method. Jurnal Ilmiah Sistem Informasi Dan Ilmu Komputer, 2(2), 16–29.

Wijaya, B. K., Sudipa, I. G. I., Waas, D. V., & Santika, P. P. (2022). Selection of Online Sales Platforms for MSMEs using the OCRA Method with ROC Weighting. Journal of Intelligent Decision Support System (IDSS), 5(4), 146–152.

Zega, S. K., Harahap, A. S., Sihite, H. H., & Saputra, I. (2023). Sistem Pendukung Keputusan Aplikasi Nobar Online Terbaik Dengan Menerapkan Metode EDAS Dengan Pembobotan ROC. KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 6(1), 809–818.