Utilization of the Weighted Product-Based CIPP Evaluation Model in Determining the Best Online Platform

Dewa Gede Hendra Divayana, P. Wayan Arta Suyasa, Nyoman Santiyadnya, Made Susi Lissia Andayani, I Made Sundayana, I Nengah Dasi Astawa, Ni Wayan Rena Mariani, Gusti Ayu Dessy Sugiharni

Abstract


Since the COVID-19 pandemic, there have been many free online platforms that can be used to support the online learning process at health colleges in Bali. However, it is difficult to determine the best online platform from the various choices of free online platforms that are scattered on the internet. Therefore, it needs innovations that contribute to helping solve these problems. One model as an innovation that can be used and contributes to solving problems is the Weighted Product-based CIPP evaluation model. The model needs to be measured for the quality of its calculations to ensure success in determining the best online platform. Therefore, this research aimed to show the quality of the Weighted Product method calculation integrated with the CIPP (Context-Input-Process-Product) model in determining the best platform used in health colleges during the COVID-19 pandemic. The instrument used to assess the quality of that calculation was a questionnaire consisting of eight questions. The subjects involved in the assessment were 20 experts. The research was carried out at several health colleges in Bali. The analytical technique used in analyzing the research data was descriptive-quantitative. The analysis was carried out by comparing the quality percentage of the calculation simulation with the quality standard based on an eleven-point scale. The study results showed the quality percentage of calculation simulation was 87.250%, so it was included in the very good category. This research has a significant impact on the progress of the educational evaluation field through research findings in the form of the appearance of the combination of the Weighted Product method with the CIPP evaluation model. The novelty of this research is the combination of the Weighted Product method and the CIPPmodel, which makes it easier for educational evaluators to determine the best online platform that supports online learning during the COVID-19 pandemic and even post-COVID-19.

 

Doi: 10.28991/HIJ-2023-04-01-015

Full Text: PDF


Keywords


Weighted Product; COVID-19 Pandemic; CIPP; Online Platform; Online Learning.

References


Sundari, H. D., & Utomo, P. (2020). Five E-Learning for Education in Indonesia. Advances in Social Science, Education and Humanities Research, 440, 48–52. doi:10.2991/assehr.k.200521.010.

Divayana, D. G. H., Adiarta, A., & Suyasa, P. W. A. (2021). Development of Material Contents and Online Assessment Based on the Sevima Edlink Platform for Online Learning of Program Evaluation Subject During COVID-19 Pandemic in Indonesia. Journal of Technology and Science Education, 11(2), 498–512. doi:10.3926/jotse.1243.

Jannah, S. N., Sobandi, A., & Suwatno, S. (2020). The Measurement of Usability Using USE Questionnaire on the Google Classroom Application as E-learning Media (A Case study: SMK Negeri 1 Bandung). Teknodika, 18(2), 94-105. doi:10.20961/teknodika.v18i2.42486.

Sukawatie, L. (2018). Using Quipper School Website as an Online Assessment for English Teaching and Learning. The 2nd English Language and Literature International Conference, Atlantis Press, Amsterdam, Netherlands, 263–270.

Purwaningsih, H., & Dardjito, H. (2021). Implementation of CIPP Model for Online Learning Evaluation During COVID-19 Pandemic. Getsempena English Education Journal, 8(2), 294–309. doi:10.46244/geej.v8i2.1394.

Damayanti, E., Ibrahim, M. M., & Ismail, M. I. (2022). Evaluation of Online Learning Programs at Universities Using the CIPP Model. Jurnal Educative: Journal of Educational Studies, 6(1), 95-110. doi:10.30983/educative.v6i1.4678.

Anh, V. T. K., & Pang, V. (2021). The Application of CIPP Model to Evaluate Online Teaching for English Majored Programs in Vietnam During the COVID-19 Pandemic. Journal of Institutional Research South East Asia, 19(2), 146-165.

Prayogo, D., Rusdarti, Raharjo, T. J., & Kuswardinah, A. (2022). Distance Learning Evaluation with The CIPP Model. Advances in Social Science, Education and Humanities Research, 574, 330-336. doi:10.2991/assehr.k.211125.062.

DeCoito, I., & Estaiteyeh, M. (2022). Online Teaching During the COVID-19 Pandemic: Exploring Science/STEM Teachers’ Curriculum and Assessment Practices in Canada. Disciplinary and Interdisciplinary Science Education Research, 4(1), 1–18. doi:10.1186/s43031-022-00048-z.

Toan, P. N., Dang, T. T., & Hong, L. T. T. (2021). E-learning Platform Assessment and Selection Using Two-Stage Multi-Criteria Decision-Making Approach with Grey Theory: A Case Study in Vietnam. Mathematics, 9(23), 1–20. doi:10.3390/math9233136.

Ong, A.K.S., Prasetyo, Y.T., Chuenyindee, T., Young, M.N., Doma, B.T., Caballes, D.G., Centeno, R. S., Morfe, A.S., & Bautista, C.S. (2022). Preference Analysis on the Online Learning Attributes Among Senior High School Students During the COVID-19 Pandemic: A Conjoint Analysis Approach. Evaluation and Program Planning, 92, 102100, 1–9. doi:10.1016/j.evalprogplan.2022.102100.

Nguyen, L. D., & Nguyen, L. V. (2022). Schoology as an Online Learning Platform to Enhance English Language Ability for Undergraduates in Vietnam. Computer Assisted Language Learning Electronic Journal, 23(4), 139-161.

Shashiprabha, T. A. S., Rupasinghe, L., Liyanage, I. M., & Liyanapathirana, C. (2020). Student Feedback Analyzer for E-Learning Platforms. International Journal of Engineering Research & Technology, 9(12), 472–477.

Cabual, R. A., & Cabual, M. M. A. (2022). The Extent of the Challenges in Online Learning during the COVID-19 Pandemic. OALib, 09(01), 1–13. doi:10.4236/oalib.1108233.

Herdiansah, A., Handayani, N., & Kurniawan, A. (2019). A Development of Decision Support Systems Selection of Employee Acceptance Using Weighted Product Method. Journal of Information Systems and Informatics, 1(2), 87–97. doi:10.33557/journalisi.v1i2.10.

Saputra, D., Kudiantoro Widianto, Tyas Setiyorini, & Ibnu Alfarobi. (2021). Decision Support System for Cloud Computing Service Selection Using the Weighted Product Method (Case Study: PT. Deptech Digital Indonesia). International Journal of Science, Technology & Management, 2(1), 78–92. doi:10.46729/ijstm.v2i1.103.

Sembiring, A. P., Tulus, Sembiring, R. W., & Maulana, H. (2018). Rule Model with Fuzzy Simple Additive Weighting Approach and Weighted Product on Determination. International Journal of Latest Trends in Engineering and Technology, 10(1), 54–62. doi:10.21172/1.101.10.

Sisodia, G. (2018). Intuitionistic Fuzzy Weighted Sum and Product Method for Electronic Service Quality Selection Problem. International Journal of Modern Education and Computer Science, 10(9), 33–43. doi:10.5815/ijmecs.2018.09.05.

Anifah, L., & Haryanto. (2020). Decision Support System Cattle Weight Prediction using Artificial Selected Weighting Method. 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE), Surabaya, Indonesia, 1-6. doi:10.1109/icvee50212.2020.9243263.

Murdani, ., Sianturi, F. A., Hutahaean, H. D., Sinaga, S. B., & Rajagukguk, D. M. (2018). Implementation of the Weighted Product Method in the Best Student Selection Decision Making System Application. Proceedings of the 1st Unimed International Conference on Economics Education and Social Science, 99-104. doi:10.5220/0009495900990104.

Sa’ad, M. I., Bryan, D., Kusrini, & Supriatin. (2020). Decision Support System for Covid19 Affected Family Cash Aid Recipients Using the Naïve Bayes Algorithm and the Weight Product Method. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 120-125. doi:10.1109/icoiact50329.2020.9331964.

Verma, S., & Patel, K. (2019). Weighted product Taxonomy for Mobile-Commerce site in Recommendation of Product based on Heuristic Approach. 2019 International Conference on Intelligent Computing and Control Systems (ICCS), 1435-1440. doi:10.1109/iccs45141.2019.9065437.

Zhao, Z., Zhang, H., & Yu, Y. (2020). Method for Calculating Text Similarity Of Cross-Weighted Products Applied To Power Grid Model Search. 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), Wuhan, China, 3863-3867. doi:10.1109/ei250167.2020.9346920.

Fitriasari, N. S., Fitriani, S. A., & Sukamto, R. A. (2017). Comparison of Weighted Product Method and Technique for Order Preference by Similarity to Ideal Solution Method: Complexity and Accuracy. 2017 3rd International Conference on Science in Information Technology (ICSITech), 453–458. doi:10.1109/icsitech.2017.8257155.

Kurniawan, B. I., & Septiana, A. R. (2021). An Analysis of Students’ Experience in the Use of Moodle in Writing Class during Pandemic COVID-19. Linguists : Journal Of Linguistics and Language Teaching, 7(2), 16-28. doi:10.29300/ling.v7i2.5318.

Malik, Z., Najmi, E., Hashmi, K., Rafique, M. M., & Rezgui, A. (2022). Product Weighted Taxonomy Extraction using Twitter. International Journal of Business Information Systems, 39(4), 497–515. doi:10.1504/IJBIS.2022.122875.

Maulana, H. O., Shofi, I. M., Rozy, N. F., & Agustin, F. E. M. (2017). Application for determining mustahiq based on the priority using weight product method (case study: BAZIS DKI Jakarta). 2017 5th International Conference on Cyber and IT Service Management (CITSM), 1-4. doi:10.1109/citsm.2017.8089315.

Nababan, L., & Tuti, E. (2018). Determination Feasibility of Poor Household Surgery By Using Weighted Product Method. 2018 6th International Conference on Cyber and IT Service Management (CITSM), 1-6. doi:10.1109/citsm.2018.8674253.

Ramadhan, I., & Zaky, U. (2020). Method Comparison Analysis Simple Additive Weighting (SAW) With Weighted Product (WP) Method in Supporting the Decision To Accept New Employees. International Journal of Engineering Technology and Natural Sciences, 2(1), 11–17. doi:10.46923/ijets.v2i1.66.

Solikhun, S. (2017). Decision support system in Predicting the Best teacher with Multi Atribute Decesion Making Weighted Product (MADMWP) Method. International Journal of Artificial Intelligence Research, 1(1), 6-10. doi:10.29099/ijair.v1i1.1.

Utomo, P., & Budiman, A. (2020). Application of Weighted Product (WP) Method in Decision Support of Unmer Madiun Rector Election. Research : Journal of Computer, Information System & Technology Management, 3(2), 74-82. doi:10.25273/research.v3i2.6700.

Kurniawan, R., Windarto, A. P., Fauzan, M., Solikhun, S., & Damanik, I. S. (2019). Analysis of Weight Product (WP) Algorithms in the best Go Car Driver Recommendations at PT. Maranatha Putri Bersaudara. International Journal of Information System & Technology, 3(1), 18-24. doi:10.30645/ijistech.v3i1.28.

Dalimunte, M., & Salmiah, M. (2019). Students’ Ability at Changing Direct into Indirect Speech and Indirect into Direct Speech. Budapest International Research and Critics Institute (BIRCI-Journal) : Humanities and Social Sciences, 2(2), 178–185. doi:10.33258/birci.v2i2.249.

Divayana, D. G. H., Adiarta, A., & Suyasa, P. W. A. (2022). Development of Discrepancy Evaluation Model Based on Tat Twam Asi with TOPSIS Calculation. International Journal of Advanced Computer Science and Applications, 13(7), 737–752. doi:10.14569/IJACSA.2022.0130787.

Sari, S. A., & Rezeki, Y. S. (2019). The Development of an Ingenious Circuit Based on Chemo-Edutainment Learning. International Journal of Educational Research Review, 4(1), 15–25. doi:10.24331/ijere.467078.

Sugiharni, G. A. D. (2018). The Development of Interactive Instructional Media Oriented to Creative Problem Solving Model on Function Graphic Subject. Journal of Education Research and Evaluation, 2(4), 183–189. doi:10.23887/jere.v2i4.16694.

Sujariati, S. (2020). Improving the Students’ Listening Comprehension through Aural-Oral Language Approach. Linguistic, English Education and Art (LEEA) Journal, 3(2), 486–505. doi:10.31539/leea.v3i2.1253.

Sutirna, S. (2019). Subject Teachers’ Perceptions of Academic Mentoring and Counseling Services. COUNS-EDU: The International Journal of Counseling and Education, 4(4), 129–133. doi:10.23916/0020190423040.

Yulina, I. K., Permanasari, A., Hernani, H., & Setiawan, W. (2019). Analytical Thinking Skill Profile and Perception of Pre Service Chemistry Teachers in Analytical Chemistry Learning. Journal of Physics: Conference Series, 1157, 042046, 1–7. doi:10.1088/1742-6596/1157/4/042046.

Divayana, D. G. H., Ariawan, I. P. W., & Giri, M. K. W. (2021). CIPP-SAW Application as an Evaluation Tool of E-learning Effectiveness. International Journal of Modern Education and Computer Science, 13(6), 42–59. doi:10.5815/ijmecs.2021.06.05.

Mantasiah, R., Yusri, Y., & Jufri, J. (2020). Semantic Feature Analysis Model: Linguistics Approach in Foreign Language Learning Material Developmen. International Journal of Instruction, 13(1), 185–196. doi:10.29333/iji.2020.13112a.

Nawawi, S., Nizkon, & Azhari, A. T. (2020). Analysis of the Level of Critical Thinking Skills of Students in Biological Materials at Muhammadiyah High School in Palembang City. Universal Journal of Educational Research, 8(3D), 47–53. doi:10.13189/ujer.2020.081707.

Sari, L. Y., Susanti, D., Fitriani, V., Supriatno, B., & Riandi, R. (2020). How to Validity Handbook in Introduction and Laboratory Techniques Oriented PBL. International Journal of Progressive Sciences and Technologies, 19(1), 250–254.

Divayana, D. G. H., Sudirtha, I. G., & Gading, I. K. (2020). Application Design of Countenance Evaluation Based on Tri Hita Karana-Aneka for Evaluating the Students’ Computer Capability and Students’ Character. Cogent Psychology, 7(1), 1–18. doi:10.1080/23311908.2020.1773095.

Vydia, V., Susanto, S., Handayani, S., & Alam, M. B. (2022). The Selection of Learning Platforms to Support Learning Using Fuzzy Multiple Attribute Decision Making. International Journal of Quantitative Research and Modeling, 3(1), 45–50. doi:10.46336/ijqrm.v3i1.257.

Ouadoud, M., Rida, N., & Chafiq, T. (2021). Overview of E-learning Platforms for Teaching and Learning. International Journal of Recent Contributions from Engineering, Science & IT (IJES), 9(1), 50-70. doi:10.3991/ijes.v9i1.21111.

Satria, B. (2021). Best Digital Platforms in ELT during New Norms Era for Remote Area. Journal of Language, Literature, and English Teaching (JULIET), 2(1), 1–5. doi:10.31629/jjumrah.v2i1.3143.

Ardinengtyas, A., & Himawan, A. N. (2021). Enhancing ELT Classroom Using Moodle E-Learning During the Pandemic: Students’ and Teachers’ Voices. IJEE (Indonesian Journal of English Education), 1(1), 24–39. doi:10.15408/ijee.v1i1.20220.

Sirwan, S., Ahyani, R., & Sartika, S. (2021). Development of Virtual Learning System (VLS) Based on Moodle as a Platform Online Learning in the Covic-19. Akademika, 10(02), 447–463. doi:10.34005/akademika.v10i02.1579.

Simanjuntak, O. S., & Perwira, R. I. (2020). Development of Spada Wimaya Online Learning Course Based on Moodle During and After the COVID-19 Pandemic. Proceeding of LPPM UPN “Veteran” Yogyakarta Conference Series 2020–Engineering and Science Series, 27 October, 2020, Yogyakarta, Indonesia, 677-683.

Quansah, R., & Essiam, C. (2021). The Use of Learning Management System (LMS) Moodle in the Midst of COVID-19 Pandemic: Students’ Perspective. Journal of Educational Technology and Online Learning, 4(3), 418–431. doi:10.31681/jetol.934730.

Amin, M., Sibuea, A. M., & Mustaqim, B. (2022). The Effectiveness of Online Learning Using E-Learning During Pandemic COVID-19. Journal of Education Technology, 6(2), 247–257. doi:10.23887/jet.v6i2.44125.

Putri, S. E., Hamuddin, B., Nursafira, M. S., & Derin, T. (2020). Discourse Analysis in E-Learning-Based Course Using Moodle Platform: An Experimental Design. REiLA : Journal of Research and Innovation in Language, 2(1), 19–26. doi:10.31849/reila.v2i1.3960.

Makruf, I., Rifa’i, A. A., & Triana, Y. (2022). Moodle-based Online Learning Management in Higher Education. International Journal of Instruction, 15(1), 135–152. doi:10.29333/iji.2022.1518a.

Dascalu, M.-D., Ruseti, S., Dascalu, M., McNamara, D. S., Carabas, M., Rebedea, T., & Trausan-Matu, S. (2021). Before and during COVID-19: A Cohesion Network Analysis of Students’ Online Participation in Moodle Courses. Computers in Human Behavior, 121, 106780, 1–19. doi:10.1016/j.chb.2021.106780.

Mpungose, C. B. (2020). Emergent Transition from Face-to-Face to Online Learning in a South African University in the Context of the Coronavirus Pandemic. Humanities and Social Sciences Communications, 7(1), 1–9. doi:10.1057/s41599-020-00603-x.


Full Text: PDF

DOI: 10.28991/HIJ-2023-04-01-015

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Dewa Gede Hendra Divayana, Agus Adiarta, Nyoman Santiyadnya, P. Wayan Arta Suyasa, Made Susi Lissia Andayani, I Nyoman Indhi Wiradika