Decision Support Systems A Game Changer in the Field of Education
Abstract
This study employed the Simple Additive Weighting (SAW) method within a Decision Support System (DSS) to evaluate student admissions in the field of education. By assigning weights to criteria and calculating weighted scores for alternatives, the study ranked the applicants and identified the most preferred choices. The results revealed that the ranking process considers multiple factors and their respective weights to determine the relative performance of each alternative. It assists decision-makers in selecting the solutions that most effectively align with their criteria and objectives. This facilitates informed decision-making. Educational institutions can streamline the admissions process by assessing the alternatives and scrutinizing each applicant's performance against many criteria. This approach enhances the equity, clarity, and impartiality of decision-making. The findings highlight the effectiveness of the SAW method and DSS in facilitating data-driven decision-making processes in education. However, limitations in subjective weight assignment and criteria selection should be considered. Future research should explore alternative decision analysis techniques and address implementation challenges.
Keywords
Full Text:
PDFReferences
Basri. (2017). Metode Weightd Product (WP) Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa Prestasi. Jurnal INSYPRO (Information System and Processing), 2(1), 1–6. https://doi.org/https://doi.org/10.24252/insypro.v2i1.2474.g2610
Binyamin, S. S., Rutter, M., & Smith, S. (2019). Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education. International Journal of Emerging Technologies in Learning (IJET), 14(03), 4. https://doi.org/10.3991/ijet.v14i03.9732
Brown, H. D. (2006). Principles of language learning and Teaching, Fifth Edition. Pearson Education.
Cordoba, J. R., & Midgley, G. (2008). Beyond organisational agendas: using boundary critique to facilitate the inclusion of societal concerns in information systems planning. European Journal of Information Systems, 17(2), 125-142. https://doi.org/10.1057/ejis.2008.4
Dhawan, S. (2020). Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018
Eniyati, S. (2011). Perancangan Sistem Pendukung Pengambilan Keputusan untuk Penerimaan Beasiswa dengan Metode SAW (Simple Additive Weighting). Dinamik-Jurnal Teknologi Informasi, 16(Sri Eniyati), 171–177.
Felicetti, M. (2016). Cultural Innovation and Local development: Matera as a Cultural District. Procedia - Social and Behavioral Sciences, 223, 614–618. https://doi.org/10.1016/j.sbspro.2016.05.366
Fery Romidoni Eprilianto, Tri Sagirani, T. A. (2013). “Sistem Pendukung Keputusan Pemberian Beasiswa Menggunakan Metode Simple Additive Weighting Di Universitas Panca Marga Probolinggo.” Universitas Panca Marga Probolinggo.
Haswan, F. (2017). Decision Support System For Election Of Members Unit Patients Pamong Praja. International Journal of Artificial Intelligence Research, 1(1), 21. https://doi.org/10.29099/ijair.v1i1.14
Hidayat, R. (2017). Sistem Pendukung Keputusan Penerima Beasiswa Murid Berprestasi Dengan Metode Simple Additive Weighting. Jurnal Sisfotek Global, 7(2), 34–37.
Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G. (2015). Recommender system application developments: A survey. Decision Support Systems. https://doi.org/10.1016/j.dss.2015.03.008
Normina. (2016). Partisipasi Masyarakat dalam Pendidikan. Jurnal Ittihad, 14 (2). https://doi.org/10.18592/ittihad.v14i26.874
OECD .(2019). Education Policy Outlook 2019: Working Together to Help Students Achieve their Potential. OECD Publishing, Paris, https://doi.org/10.1787/2b8ad56e-en
Rusdiyanto, R., Karman, J., Toyib Hidayat, A., Muli Peranginangin, A., Tambunan, F., & Hutahaean, J. (2020). Analysis of Decision Support Systems on Recommended Sales of the Best Ornamental Plants by Type. Journal of Physics: Conference Series, 1566(1). https://doi.org/10.1088/1742-6596/1566/1/012047
Sahir, S. H., Ayu Ramadhana, R. S., Romadhon Marpaung, M. F., Munthe, S. R., & Watrianthos, R. (2021). Online learning sentiment analysis during the covid-19 Indonesia pandemic using twitter data. IOP Conference Series: Materials Science and Engineering, 1156(1), 012011. https://doi.org/10.1088/1757-899X/1156/1/012011
Septiana, I., Irfan, M., Atmadja, A. R., & Subaeki, B. (2016). Sistem Pendukung Keputusan Penentu Dosen Penguji Dan Pembimbing Tugas Akhir Menggunakan Fuzzy Multiple Attribute Decision Makingdengan Simple Additive Weighting (Studi Kasus: Jurusan Teknik Informatika Uin Sgd Bandung). 1, 43–50.
Sihombing, V., Siregar, V. M. M., Tampubolon, W. S., Jannah, M., Risdalina, & Hakim, A. (2021). Implementation of simple additive weighting algorithm in decision support system. IOP Conference Series: Materials Science and Engineering, 1088(1), 012014. https://doi.org/10.1088/1757-899X/1088/1/012014
Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Dengan Simple Additive Weighting. (2014). Jurnal Teknik Elektro. https://doi.org/10.15294/jte.v6i1.3575
Sriyanto, S., Buchori, A., Handayani, A., Nguyen, P. T., & Usman, H. (2020). Implementation multi factor evaluation process (MFEP) decision support system for choosing the best elementary school teacher. International Journal of Control and Automation.
Teixeira, J., Alves, S., Mariz, P., & Almeida, F. (2023). Decision support system for the selection of students for Erasmus+ short-term mobility. International Journal of Educational Management, 37(1), 70–84. https://doi.org/10.1108/IJEM-03-2022-0101/FULL/PDF
Woods, M., Taylor, J., & Bond, E. (2013). Early Childhood Studies, 3rd Edition: A Multidisciplinary and Holistic Introduction. Hodder Education.
DOI: https://doi.org/10.35445/alishlah.v15i4.4245
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Lestari Wiwik, Siti Irene Astuti Dwiningrum, S Sujarwo
Al-Ishlah Jurnal Pendidikan Abstracted/Indexed by:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


.png)




