Perangkingan Potensi Guru dalam Penentuan Calon Kepala Sekolah Menggunakan Metode TOPSIS
DOI:
https://doi.org/10.37034/jsisfotek.v3i4.64Keywords:
Ranking, Potential, Teacher, TOPSIS, PrincipalAbstract
Efforts to increase the value of the quality of education for students as the next generation of the nation require teachers who have competence in providing education to students. The competence of a teacher can be assessed when a teacher has carried out his duties in accordance with the standard provisions he has. The ranking of potential teachers is used to motivate teachers to be active in carrying out each activity and is expected to have a positive effect on their work to face challenges in this era of globalization. The data that is processed for the ranking of teacher potential is the assessment data of elementary school teachers sourced from the korwildik of the Batang kapas sub-district. This ranking is based on several criteria and weights are determined. Furthermore, this ranking is processed using a system created by the researcher. This ranking uses a method called TOPSIS to assist researchers in ranking. The TOPSIS method is a multi-criteria decision support method with the principle that the chosen alternative must have the closest distance from the positive and negative ideal solutions. The results of ranking with the TOPSIS method are able to support the ranking decisions of potential teachers using predetermined criteria. So that the highest value is found in the 5th alternative with a value of 0.7321 and the lowest value is found in the 1st alternative with a value of 0.2218. The ranking of potential teachers has proven to be able to help the South Coast District Education and Culture Office, especially the korwildik of the Batang kapas sub-district in determining prospective school principals.
References
Daulay, S. (2020). Lecturer Performance Decision Support System Using The TOPSIS Method Based on Web. Journal of Applied Engineering and Technological Science (JAETS), 2(1), 42-49. https://doi.org/10.37385/jaets.v2i1.181
Adela, H., Jasmi, K. A., Basiron, B., Huda, M., & Maseleno, A. (2018). Selection of dancer member using simple additive weighting. International Journal of Engineering & Technology, 7(3), 1096-1107. https://doi.org/10.14419/ijet.v7i3.11983
Konstantinos, I., Georgios, T., & Garyfalos, A. (2019). A decision support system methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece. Energy Policy, 132, 232-246. https://doi.org/10.1016/j.enpol.2019.05.020
Seyedmohammadi, J., Sarmadian, F., Jafarzadeh, A. A., Ghorbani, M. A., & Shahbazi, F. (2018). Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops. Geoderma, 310, 178-190. https://doi.org/10.1016/j.geoderma.2017.09.012
Susliansyah, S., Rahadjeng, I. R., & Sumarno, H. (2019). penerapan metode topsis dalam penilaian kinerja guru tetap sd negeri kebalen 07. Jurnal Pilar Nusa Mandiri, 15(1), 7-14. https://doi.org/10.33480/pilar.v15i1.
Perwira, Y. (2021). Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Di Smk Negeri 1 Pantai Labu Dengan Menggunakan Metode Technique For Order Of Preference By Similarity To Ideal Solution (Topsis). Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI), 3(3), 229-250. https://doi.org/10.32672/jnkti.v3i3.2418
Lei, F., Wei, G., Gao, H., Wu, J., & Wei, C. (2020). TOPSIS method for developing supplier selection with probabilistic linguistic information. International Journal of Fuzzy Systems, 1-11. https://doi.org/10.1007/s40815-019-00797-6
Surya, C. (2018). Penilaian Kinerja Dosen Menggunakan Metode TOPSIS (Studi Kasus: Amik Mitra Gama). JURNAL RESTI (Rekayasa Sistem dan Teknologi Informasi), 2(1), 322-329. https://doi.org/10.29207/resti.v2i1.119
Kwok, P. K., & Lau, H. Y. (2019). Hotel selection using a modified TOPSIS-based decision support algorithm. Decision Support Systems, 120, 95-105. https://doi.org/10.1016/j.dss.2019.02.004
Prihatin, T. (2019). Perbandingan Metode TOPSIS Dan SAW Dalam Penentuan Guru Berprestasi. Jurnal Teknik Komputer, 5(1), 29-34. https://doi.org/10.31294/jtk.v5i1.4706
Kong, X., Yan, L., Wang, D., Yu, M., & Liu, X. (2020, November). Evaluation of Education Resources Allocation in Beijing Based on Entropy-TOPSIS Method. In Journal of Physics: Conference Series (Vol. 1670, No. 1, p. 012042). IOP Publishing. https://doi.org/10.1088/1742-6596/1670/1/012042
Topadang, A., & Nurcahyono, D. (2019). analisis metode TOPSIS dalam sistem pendukung keputusan penentuan guru berprestasi pada sekolah menengah pertama negeri 8 samarinda. Just TI (Jurnal Sains Terapan Teknologi Informasi), 11(2), 7-11. https://doi.org/10.46964/justti.v11i2.144
Alawiyah, T., Supriatin, T., Sutisna, H., Hikmah, A. B., & Simpony, B. K. (2020). Implementasi Metode TOPSIS Pada Sistem Pendukung Keputusan Penerima KKS Pada Desa Tawang. Indonesian Journal on Software Engineering (IJSE), 6(2), 152-162. https://doi.org/10.31294/ijse.v6i2.8960
Fadli, S., & Zaen, M. T. A. (2018). Penggunaan Metode Techique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Evaluasi Kinerja Dosen oleh Mahasiswa (Studi Kasus: STMIK Lombok). JISA (Jurnal Informatika dan Sains), 1(1), 7-13. https://doi.org/10.31326/jisa.v1i1.295
Maspiyanti, F. (2020). Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Metode Simple Additive Weighting Dan Topsis. Jurnal Ilmiah Informatika (JIF), 8(2), 128-135. https://doi.org/10.47047/ct.v7i2.100
Dutta, B., Dao, S. D., Martínez, L., & Goh, M. (2021). An evolutionary strategic weight manipulation approach for multi-attribute decision making: TOPSIS method. International Journal of Approximate Reasoning, 129, 64-83. https://doi.org/10.1016/j.ijar.2020.11.004
Kurnia, Y. (2018). Penilaian Kinerja Guru Menggunakan Metode Topsis. Journal Scientific and Applied Informatics, 1(3), 70-75. https://doi.org/10.36085/jsai.v1i3.63
