Decision Support System in Determining the Level of Success of Teaching Teachers Using the AHP Method

Authors

  • Mhd Khoiri Abdillah STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Dedy Hartama STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Rizki Alfadillah Nasution STIKOM Tunas Bangsa, Pematangsiantar, Indonesia

DOI:

https://doi.org/10.55123/jomlai.v2i2.2399

Keywords:

Decision Support System, Level of Success, Teacher, Education, AHP Method

Abstract

This study aims to implement a Decision Support System (SPK) that uses the Analytic Hierarchy Process (AHP) method in assessing and determining the level of success of teachers teaching at SMA Taman Siswa, Bah Jambi Branch. This study uses five assessment criteria, namely the number of attendance, lesson plans, teaching period, learning media, and discipline, as a basis for evaluating teacher performance. In this study, the AHP method was used to calculate the relative weight of each criterion and sub-criteria involved in assessing teacher performance. The data collected from various teachers was evaluated using the AHP method, and the results provide an overview of the level of success of each teacher in carrying out the teaching and learning process. The results showed that among the many existing teachers, Siti Palastri managed to score 0.81002, indicating good performance in the teaching and learning process. The application of this system is expected to assist schools in making decisions regarding teacher performance evaluation in a more objective and structured manner. In addition, this system can provide guidance and recommendations that are more effective in identifying areas for improvement by teachers who have not achieved the expected level of success. Thus, improving the quality of teaching can be achieved through corrective measures that are right on target.

References

A. Hadiapurwa, P. Riani, M. F. Yulianti, and E. K. Yuningsih, “Implementasi Merdeka Belajar untuk Membekali Kompetensi Generasi Muda dalam Menghadapi Era Society 5.0,” Al-Mudarris (Jurnal Ilmiah Pendidikan Islam), vol. 4, no. 1, pp. 115–129, 2021, doi: 10.23971/mdr.v4i1.3140.

S. Sulastri, S. Syahril, N. Adi, and E. Ermita, “Penguatan pendidikan karakter melalui profil pelajar pancasila bagi guru di sekolah dasar,” JRTI (Jurnal Riset Tindakan Indonesia), vol. 7, no. 3, p. 583, 2022, doi: 10.29210/30032075000.

D. Murtado, I. P. A. D. Hita, D. Chusumastuti, S. Nuridah, A. H. Ma’mun, and M. D. Yahya, “Optimalisasi Pemanfaatan Media Pembelajaran Online Sebagai Upaya Meningkatkan Hasil Belajar Siswa di Sekolah Menengah Atas,” Journal on Education, vol. 6, no. 1, pp. 35–47, 2023, doi: 10.31004/joe.v6i1.2911.

I. Fatmawati, “Peran Guru Dalam Pengembangan Kurikulum Dan Pembelajaran,” Revorma, Jurnal Pendidikan dan Pemikiran, vol. 1, no. 1, pp. 20–37, 2021, [Online]. Available: http://ejournal-revorma.sch.id

M. Abidin, “Urgensi Komunikasi Model Stimulus Organism Response (SOR) dalam Meningkatkan Kualitas Pembelajaran,” Nivedana : Jurnal Komunikasi & Bahasa, vol. 3, no. 1, pp. 47–59, 2022.

A. D. Afifatusholihah, “Pengaruh Metode Mengajar Guru Dan Fasilitas Belajar Terhadap Hasil Belajar IPS,” Dinamika Sosial: Jurnal Pendidikan Ilmu Pengetahuan Sosial, vol. 1, no. 1, pp. 12–20, 2022, doi: 10.18860/dsjpips.v1i1.1010.

R. Watrianthos, W. A. Ritonga, A. Rengganis, A. Wanto, and M. Isa Indrawan, “Implementation of PROMETHEE-GAIA Method for Lecturer Performance Evaluation,” Journal of Physics: Conference Series, vol. 1933, no. 1, p. 012067, 2021, doi: 10.1088/1742-6596/1933/1/012067.

T. Imandasari, M. G. Sadewo, A. P. Windarto, A. Wanto, H. O. Lingga Wijaya, and R. Kurniawan, “Analysis of the Selection Factor of Online Transportation in the VIKOR Method in Pematangsiantar City,” Journal of Physics: Conference Series, vol. 1255, no. 1, p. 012008, Aug. 2019, doi: 10.1088/1742-6596/1255/1/012008.

M. Widyasuti, A. Wanto, D. Hartama, and E. Purwanto, “Rekomendasi Penjualan Aksesoris Handphone Menggunakan Metode Analitycal Hierarchy Process (AHP),” Konferensi Nasional Teknologi Informasi dan Komputer (KOMIK), vol. I, no. 1, pp. 27–32, 2017.

P. Alkhairi, L. P. Purba, A. Eryzha, A. P. Windarto, and A. Wanto, “The Analysis of the ELECTREE II Algorithm in Determining the Doubts of the Community Doing Business Online,” Journal of Physics: Conference Series, vol. 1255, no. 012010, pp. 1–7, 2019, doi: 10.1088/1742-6596/1255/1/012010.

S. R. Ningsih, R. Wulansari, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of PROMETHEE II Method on Selection of Lecturer Community Service Grant Proposals,” Journal of Physics: Conference Series, vol. 1255, no. 012004, pp. 1–7, 2019, doi: 10.1088/1742-6596/1255/1/012004.

Q. N. Naveed et al., “Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making,” PLoS ONE, vol. 15, no. 5, pp. 1–25, 2020, doi: 10.1371/journal.pone.0231465.

S. li Xu, T. Yeyao, and M. Shabaz, “Multi-criteria decision making for determining best teaching method using fuzzy analytical hierarchy process,” Soft Computing, vol. 27, no. 6, pp. 2795–2807, 2023, doi: 10.1007/s00500-022-07554-2.

S. M. Khoiroh, Asmungi, Surani, and B. Wirayuda, “Pengambilan Keputusan Penentuan Kriteria Prioritas dalam Proses Seleksi Dosen Baru di Universitas XYZ dengan Metode AHP,” Jurnal Manajemen & Teknik Industri – Produksi, vol. XXIII, no. 2, pp. 195–206, 2023, doi: 10.350587/Matrik.

H. Harmayani and R. A. Harahap, “Perbandingan Metode WP dan SAW dalam Sistem Pendukung Keputusan untuk Menentukan Tingkat Keberhasilan Guru Mengajar di Tingkat SMK,” Jurnal Media Informatika Budidarma, vol. 6, no. 2, p. 923, 2022, doi: 10.30865/mib.v6i2.3571.

I. Ayulestari, Y. Farlina, R. Yulistria, and D. Susilawati, “Pemilihan Guru Favorit Menggunakan Metode Analytical Hierarchy Process (Ahp) Di Mi Mwb Pui At-Tahdhiriyyah,” Swabumi, vol. 7, no. 2, pp. 134–140, 2019, doi: 10.31294/swabumi.v7i2.6639.

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Published

2023-06-30

How to Cite

Abdillah, M. K., Hartama, D., & Nasution, R. A. (2023). Decision Support System in Determining the Level of Success of Teaching Teachers Using the AHP Method. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 2(2), 113–124. https://doi.org/10.55123/jomlai.v2i2.2399

Issue

Vol. 2 No. 2 (2023): June

Section

Articles

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