Simple Additive Weight Algorithm to Determine Lecturer Competency in Hybrid Learning Approach
Abstract
As the COVID-19 vaccination process continues, the pandemic is starting to subside. All educational institutes in Indonesia are starting to transition from online learning to hybrid learning. One crucial factor in the learning process is the competency of the lecturers. However, some students still feel dissatisfied with the learning process due to the lack of competence from the lecturers. This is exacerbated by the students and lecturers’ lack of familiarity with the hybrid learning system. Therefore, the aim of this research is to find a fair evaluation model for the lecturer’s competency that is suitable for the current hybrid learning approach. The data used in this research comes from questionnaires filled out by all students of Dian Nuswantoro University every year before the Final Semester Exam (UAS). The questionnaire consists of 10 questions regarding the hybrid learning process in the academic year of 2022/2023. Students provide their answers using a 4-point Likert scale, consisting of "Strongly Agree," "Agree," "Disagree," and "Strongly Disagree." The responses from students are grouped based on the courses/classes taught by the lecturers. The evaluation of lecturers’ competency is represented by two aspects: knowledge mastery and teaching skill. Each aspect of the lecturers’ evaluation consists of 5 questions in the questionnaire. The method used to evaluate the lecturers’ competency is the Decision Support System (DSS) algorithm combined with Simple Additive Weight (SAW). Result shows that students are mostly pleased with the quality of the lectures presented. Furthermore, lecturers with high evaluation scores tend to have a small number of students.
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Anggraini, D., & Sihotang, H. T. (2019). Decision Support System For Choosing The Best Class Guardian With Simple Additive Weighting Method: Decision Support System For Choosing The Best Class Guardian With Simple Additive Weighting Method. Jurnal Mantik, 3(3), Article 3.
Arifitama, B. (2022). Decision Support System Scholarship Selection Using Simple Additive Weighting (SAW) Method. JISA(Jurnal Informatika Dan Sains), 5(1), 80–84. https://doi.org/10.31326/jisa.v5i1.1279
Constantinou, A. C., Fenton, N., Marsh, W., & Radlinski, L. (2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artificial Intelligence in Medicine, 67, 75–93. https://doi.org/10.1016/j.artmed.2016.01.002
Dwijonagoro, S., & Suparno, S. (2019). PRANATACARA LEARNING: MODELING, MIND MAPPING, E-LEARNING, OR HYBRID LEARNING? Jurnal Cakrawala Pendidikan, 38(1), Article 1. https://doi.org/10.21831/cp.v38i1.23034
Gupta, S., Modgil, S., Bhattacharyya, S., & Bose, I. (2022). Artificial intelligence for decision support systems in the field of operations research: Review and future scope of research. Annals of Operations Research, 308(1), 215–274. https://doi.org/10.1007/s10479-020-03856-6
Jasmani, J., & Paeno, P. (2019). The Effect of Leadership and Competence on Lecturer Performance and Its Implications on Student Learning Motivation at Pamulang University. International Journal of Advances in Social and Economics, 1(4), Article 4. https://doi.org/10.33122/ijase.v1i4.147
Meydanlioglu, A., & Arikan, F. (2014). Effect of Hybrid Learning in Higher Education. International Journal of Information and Communication Engineering, 8(5), 1292–1295.
Mulyani, H., Meirawan, D., & Rahmadani, A. (2020). INCREASING SCHOOL EFFECTIVENESS THROUGH PRINCIPALS’ LEADERSHIP AND TEACHERS’ TEACHING PERFORMANCE, IS IT POSSIBLE? Jurnal Cakrawala Pendidikan, 39(2), Article 2. https://doi.org/10.21831/cp.v39i2.28864
Olaniyi, A. A. (2019). Application of Likert Scale’s Type and Cronbach’s Alpha Analysis in an Airport Perception Study.
Puspa, M. (2019). Decision Support System For Supplementary Food Recipients (PMT) By Using The Simple Additive Weighting (SAW) Method. Jurnal Teknik Informatika C.I.T Medicom, 11(2), Article 2. https://doi.org/10.35335/cit.Vol11.2019.11.pp37-44
Setyowati, L., Karmina, S., Sukmawan, S., & Shafie, L. A. (2023). The validity and reliability of writing attitude scale for EFL learners in the Indonesian context. Studies in English Language and Education, 10(3), Article 3. https://doi.org/10.24815/siele.v10i3.28462
Sovia, R., Mandala, E. P. W., & Mardhiah, S. (2020). Algoritma K-Means dalam Pemilihan Siswa Berprestasi dan Metode SAW untuk Prediksi Penerima Beasiswa Berprestasi. JEPIN (Jurnal Edukasi Dan Penelitian Informatika), 6(2), 181–187. https://doi.org/10.26418/jp.v6i2.37759
Sumekto, D. R., & Setyawati, H. (2018). STUDENTS’ DESCRIPTIVE WRITING PERFORMANCE: THE ANALYTIC SCORING ASSESSMENT USAGE. Jurnal Cakrawala Pendidikan, 37(3), Article 3. https://doi.org/10.21831/cp.v38i3.20033
Supriadi, D., Usman, H., & Jabar, C. S. A. (2021). THE MODERATION EFFECT OF INFORMATION SYSTEMS ON VOCATIONAL HIGH SCHOOL PRINCIPAL DECISION-MAKING MODEL. Jurnal Cakrawala Pendidikan, 40(1), Article 1. https://doi.org/10.21831/cp.v40i1.31268
Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
Yulian, R. (2021). The flipped classroom: Improving critical thinking for critical reading of EFL learners in higher education. Studies in English Language and Education, 8(2), Article 2.
DOI: http://dx.doi.org/10.30872/jim.v19i1.14158
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