Decision Support System for Selecting Online Teaching Methods Using the Fuzzy MCDM Algorithm
DOI:
10.33395/sinkron.v8i3.13731Keywords:
Decision Support Systems, Fuzzy Multi-Criteria Decision Making, Online TeachingAbstract
The global pandemic that has hit the world recently has forced educational institutions to adopt online teaching methods. However, choosing an effective online teaching method is a major challenge. This research develops a Decision Support System (DSS) that uses the Fuzzy Multi-Criteria Decision Making (FMCDM) Algorithm to select the best online teaching method. This system is designed to assist decision making in educational institutions by considering various criteria such as learning effectiveness, technology affordability, ease of use, and user satisfaction. This research uses data collection methods that involve surveys from lecturers and students to obtain their preferences and experiences with various online teaching platforms. The data collected is then processed using the FMCDM model to evaluate and rank teaching methods based on predetermined criteria. Fuzzy systems are used to overcome uncertainty and subjectivity in criteria assessment. The results of this research show that the system developed is able to effectively assess and rank various online teaching methods. From the analysis carried out, interactive teaching methods using videos and real-time quizzes received the highest ranking based on predetermined criteria. This suggests that the combination of engaging visual content and high interactivity is highly valued in online teaching contexts
Downloads
References
Ambika, P., Ayshwarya, B., Nguyen, P. T., Hashim, W., Rinjani, F., Muslihudin, M., Shankar, K., Denisova, O. P., & Maseleno, A. (2019). The best of village head performance: Simple additive weighting method. International Journal of Recent Technology and Engineering, 8(2 Special Issue 3), 1568–1572. https://doi.org/10.35940/ijrte.B1286.0782S319
Bid, S., & Siddique, G. (2019). Human risk assessment of Panchet Dam in India using TOPSIS and WASPAS Multi-Criteria Decision-Making (MCDM) methods. Heliyon, 5(6), e01956. https://doi.org/10.1016/j.heliyon.2019.e01956
Dakhi, O., Irfan, D., Jama, J., Ambiyar, A., Simatupang, W., Sukardi, S., & Zagoto, M. M. (2022). Blended learning and its implications for learning outcomes computer and basic networks for vocational high school students in the era of COVID-19 pandemic. International Journal of Health Sciences, 6(June), 11177–11186. https://doi.org/10.53730/ijhs.v6ns4.10976
Deveci, M., Canıtez, F., & Gökaşar, I. (2018). WASPAS and TOPSIS based interval type-2 fuzzy MCDM method for a selection of a car sharing station. Sustainable Cities and Society, 41, 777–791. https://doi.org/10.1016/j.scs.2018.05.034
Fadilla, A., Nasyuha, A. H., & Sari, V. W. (2022). Sistem Pendukung Keputusan Pemilihan Juru Masak ( Koki ) Menggunakan Metode Complex Proportional Assesment ( COPRAS ). 9(2), 316–327. https://doi.org/10.30865/jurikom.v9i2.3920
Mardayatmi, S., Defit, S., & Nurcahyo, G. W. (2021). Sistem Pendukung Keputusan bagi Penerima Bantuan Komite Sekolah Menggunakan Metode Topsis. Jurnal Sistim Informasi Dan Teknologi, 3, 132–139. https://doi.org/10.37034/jsisfotek.v3i3.143
Marsono, Nasyuha, A. H., Boy, A. F., Habibie, D. R., Syahra, Y., & Rusydi, I. (2023). Analisis sistem pendukung keputusan untuk meningkatkan penjualan produk. PT. PENA PERSADA KERTA UTAMA.
Nasyuha, A. H. (2019). Sistem Pendukung Keputusan Menentukan Pemberian Pinjaman Modal dengan Metode Multi Attribute Utility Theory. JURNAL MEDIA INFORMATIKA BUDIDARMA, 3(2). https://doi.org/10.30865/mib.v3i2.1093
Nasyuha, A. H., Hutasuhut, M., & Ramadhan, M. (2019). Penerapan Metode Fuzzy Mamdani Untuk Menentukan Stok Produk Herbal Berdasarkan Permintaan dan Penjualan. 3(4), 313–323. https://doi.org/10.30865/mib.v3i4.1354
Nasyuha, A. H., Purnama, I., Sidabutar, A., & Karim, A. (2022). Sistem Pendukung Keputusan Penentuan Kerani Timbang Lapangan Terbaik Menerapkan Metode Operational Competitiveness Rating Analysis ( OCRA ). 6, 355–361. https://doi.org/10.30865/mib.v6i1.3475
Pamucar, D., Deveci, M., Canıtez, F., & Lukovac, V. (2020). Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model. Engineering Applications of Artificial Intelligence, 93, 103703. https://doi.org/10.1016/j.engappai.2020.103703
Prayitno, E., Habibie, D. R., Mariami, I., & Nasyuha, A. H. (2023). Simulasi Pemilihan Partai Politik Menggunakan Simple Additive Weighting. 4(3), 1880–1887. https://doi.org/10.30865/klik.v4i3.1416
Rudnik, K., Bocewicz, G., Kucińska-Landwójtowicz, A., & Czabak-Górska, I. D. (2021). Ordered fuzzy WASPAS method for selection of improvement projects. Expert Systems with Applications, 169, 114471. https://doi.org/10.1016/j.eswa.2020.114471
Sianturi, L. T. (2019). Implementation of Weight Sum Model ( WSM ) in the Selection of Football Athletes. International Journal of Informatics and Computer Science (The IJICS), 3(1), 24–27.
Yanie, A., Hasibuan, A., Ishak, I., Marsono, M., Lubis, S., Nurmalini, N., Mesran, M., Nasution, S. D., Rahim, R., Nurdiyanto, H., & Ahmar, A. S. (2018). Web Based Application for Decision Support System with ELECTRE Method. Journal of Physics: Conference Series, 1028(1). https://doi.org/10.1088/1742-6596/1028/1/012054
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2024 Asyahri Hadi Nasyuha, Marsono Marsono, Yohanni Syahra
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.