Rwa Bhineda concept and weighted product method in the Alkin-Provus evaluation model modified design

Authors

  • Wayan Sugandini Universitas Pendidikan Ganesha
  • P. Wayan Arta Suyasa Universitas Pendidikan Ganesha
  • Dewa Gede Hendra Divayana Universitas Pendidikan Ganesha
  • I Putu Wisna Ariawan Universitas Pendidikan Ganesha

DOI:

https://doi.org/10.59672/ijed.v6i2.4944

Keywords:

Alkin-Provus, Evaluation Model, Modified Design, Rwa Bhineda, Weighted Product

Abstract

The combination of the Alkin and Provus evaluation models was carried out to optimize the functionality of the evaluation components owned by each evaluation model. Although the combination of the two models was perfect, there were still obstacles in its implementation. The obstacle was the difficulty in determining the priority aspects in the evaluation components that trigger the effectiveness of a program/object being evaluated. Therefore, it is urgent to conduct research that shows innovations in the form of modifications made to the two evaluation models by utilizing the Rwa Bhineda concept and the Weighted Product method. The Rwa Bhineda concept is used to determine the accuracy of the integration of the evaluation aspects owned by each evaluation component of the Provus and Alkin models. The Weighted Product method is used to obtain calculation results in determining the priority aspects that trigger the effectiveness of a program. The purpose of this study was to show the quality of the modified design of the Alkin-Provus evaluation model that utilizes the Rwa Bhineda concept and the Weighted Product method. This study used a development approach. The development model, as proposed by Borg & Gall, encompasses three stages: design creation, initial design trials, and revision of initial design trials. The subjects involved in the initial design trial were 50 respondents. The selection of subjects used a purposive sampling technique. The initial trial tool was a questionnaire consisting of 15 questions related to the design. The data analysis technique for the trial results was quantitative descriptive. This technique involves comparing the percentage of design quality with quality standards that refer to the five-scale categorization. The results of this study indicate that the modified design of the Alkin-Provus evaluation model, which utilizes the Rwa Bhineda concept and the weighted product method, falls within the good quality category. The impact of the results of this study is that evaluators and observers in the field of education gain knowledge about the existence of the concept of Balinese local wisdom (namely Rwa Bhineda) and the decision support system method (namely Weighted Product) that can be used to optimize the functionality of the Provus and Alkin evaluation components and determine the priority aspects that trigger the effectiveness of a program/object being evaluated.

Downloads

Download data is not yet available.

Author Biographies

P. Wayan Arta Suyasa, Universitas Pendidikan Ganesha

Department of Informatics Education

Dewa Gede Hendra Divayana, Universitas Pendidikan Ganesha

Department of Informatics Education

I Putu Wisna Ariawan, Universitas Pendidikan Ganesha

Department of Mathematics Education

References

Ahmad, I., Liu, Y., Javeed, D., Shamshad, N., Sarwar, D., & Ahmad, S. (2020). A review of artificial intelligence techniques for selection & evaluation. IOP Conference Series: Materials Science and Engineering, 853(1). https://doi.org/10.1088/1757-899X/853/1/012055

Bearman, M., Tai, J., Dawson, P., Boud, D., & Ajjawi, R. (2024). Developing evaluative judgement for a time of generative artificial intelligence. Assessment and Evaluation in Higher Education, 49(6), 893–905. https://doi.org/10.1080/02602938.2024.2335321

Caspari-Sadeghi, S. (2023). Artificial Intelligence in Technology-Enhanced Assessment: A Survey of Machine Learning. Journal of Educational Technology Systems, 51(3), 372–386. https://doi.org/10.1177/00472395221138791

Divayana, D. G. H., Ariawan, I. P. W., & Adiarta, A. (2019). development of Countenance application oriented on combining ANEKA-Tri Hita Karana as a mobile web to evaluate the computer knowledge and morality. International Journal of Interactive Mobile Technologies, 13(12), 81–102. https://doi.org/10.3991/ijim.v13i12.10858

Divayana, D. G. H., Ariawan, I. P. W., & Adiarta, A. (2020). Dissemination and implementation of THK-ANEKA and SAW-based stake model evaluation website. International Journal of Advanced Computer Science and Applications, 11(9), 426–436. https://doi.org/10.14569/IJACSA.2020.0110951

Dong, H. (2023). Study on Evaluation of Execution Capability Based on Artificial Intelligence CIPP Model: A Case Study from Henan Agricultural University. EAI Endorsed Transactions on Scalable Information Systems, 11(4), 1–10. https://doi.org/10.4108/EETSIS.5234

Farhood, H., Joudah, I., Beheshti, A., & Muller, S. (2024). Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes. Informatics, 11(3), 1–17. https://doi.org/10.3390/informatics11030046

Faridah, E., Kasih, I., Nugroho, S., & Aji, T. (2022). The Effectiveness of Blended Learning Model on Rhythmic Activity Courses Based on Complementary Work Patterns. International Journal of Education in Mathematics, Science and Technology, 10(4), 918–934. https://doi.org/10.46328/ijemst.2618

Fatchurahman, M., Setiawan, M. A., & Karyanti, K. (2022). Evaluation of the CSE-UCLA model on the performance of school counselor in Indonesia. Perspektivy Nauki i Obrazovania, 56(2), 561–572. https://doi.org/10.32744/pse.2022.2.33

Hasan, A. N., Hanafi, I., & Riyadi, R. (2024). Evaluation Of The Field Work Practice Program (Pkl) Using The Discrepancy Evaluation Model (Dem) In The Computer Engineering And Informatics Expertise …. Journal of Social …, 1121–1140. https://ijsr.internationaljournallabs.com/index.php/ijsr/article/view/2079

Hua Liu, H. B. (2024). Learning Evaluation Method Based on Artificial Intelligence Technology and Its Application in Education. Journal of Electrical Systems, 20(3s), 1833–1842. https://doi.org/10.52783/jes.1722

Kaewyong, P., Salim, N., & Phang, F. A. (2019). Combined Approach for Teachers’ Evaluation Aspects Identification Using Dictionary and Patterns Based. International Journal of Innovation in Enterprise System, 3(02), 48–54. https://doi.org/10.25124/ijies.v3i02.40

Mursidin. (2023). The Discrepancy Evaluation Model in the Cultivation of Responsibility Character at Madrasah Aliyah Negeri Insan Cendekia Sambas. International Conference on Science and Islamic Studies, 9058, 1156–1166.

Naibaho, L. (2021). Online Learning Evaluation during Covid-19 using CSE-UCLA Evaluation Model at English Education Department Universitas Kristen Indonesia. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences, 4(2), 1987–1997. https://doi.org/10.33258/birci.v4i2.1887

Net, W. W. W. P., Samal, D., Widodo, E., Asih, R. A., & Hukom, J. (2024). Evaluation Of Blended Learning-Based Utilization Using CSE-UCLA Model. Pegem Journal of Education and Instruction, 14(2), 131–139. https://doi.org/10.47750/pegegog.14.02.16

Nouraey, P., Al-Badi, A., Riasati, M. J., & Maata, R. L. (2020). Educational Program and Curriculum Evaluation Models: A Mini Systematic Review of the Recent Trends. Universal Journal of Educational Research, 8(9), 4048–4055. https://doi.org/10.13189/ujer.2020.080930

Potter, J., Welsh, K., & Milne, L. (2023). Evaluating an institutional response to Generative Artificial Intelligence (GenAI): Applying Kotter’s change model and sharing lessons learned for educational development. Journal of Perspectives in Applied Academic Practice, 11(3), 139–152. https://doi.org/10.56433/jpaap.v11i3.582

Ruta, I. M., Saryana, I. M., Sujayanthi, N. W. M., Utami, N. M. P., Saryana, I. M., & Pradana, G. Y. K. (2023). The Rwa Bhineda Painting Principles: The Art of I Dewa Nyoman Batuan. Randwick International of Social Science Journal, 4(1), 150–159. https://doi.org/10.47175/rissj.v4i1.591

Sunarya, I. K. (2020). The concept of Rwa Bhineda Kriya on the island of Bali towards Jagadhita. Wacana Seni, 19(Davies 2007), 47–60. https://doi.org/10.21315/ws2020.19.4

Suyasa, P. W. A., Divayana, D. G., & Ariawan, I. P. W. (2024). User interface design of Amalgamation evaluation application based on Provus-Alkin-WP integrated with Rwa Bhineda. AIP Conference Proceedings, 3145(1). https://pubs.aip.org/aip/acp/article-abstract/3145/1/020005/3304290/User-interface-design-of-Amalgamation-evaluation?redirectedFrom=fulltext

Timbi-Sisalima, C., Sánchez-Gordón, M., Hilera-Gonzalez, J. R., & Otón-Tortosa, S. (2022). Quality Assurance in E-Learning: A Proposal from Accessibility to Sustainability. Sustainability (Switzerland), 14(5), 1–27. https://doi.org/10.3390/su14053052

Widana, I. W., Sumandya, I. W., Citrawan, I. W., Widana, I. N. S., Ibarra, F. P., Quicho, R. F., Delos Santos, M. R. H. M., Velasquez-Fajanela, J. V., & Mukminin, A. (2023). The effect of teachers’ responsibility and understanding of the local wisdom concept on teachers’ autonomy in developing evaluation of learning based on local wisdom in a special needs school. Journal of Higher Education Theory and Practice, 23(10), 152-167. https://doi.org/10.33423/jhetp.v23i10.6189

Wulandari, T., Widiastuti, A., Nasiwan, Setiawan, J., Fadli, M. R., & Hadisaputra. (2023). Development of learning models for inculcating Pancasila values. International Journal of Evaluation and Research in Education, 12(3), 1364–1374. https://doi.org/10.11591/ijere.v12i3.25687

Yustikarini, R. (2023). Discrepancy evaluation of social reconstruction-based curriculum implementation at Sekolah Rimba Indonesia. Curricula: Journal of Curriculum Development, 2(2), 213–232. https://doi.org/10.17509/curricula.v2i2.58981

Downloads

Published

2025-08-13

How to Cite

Sugandini, W., Suyasa, P. W. A., Divayana, D. G. H., & Ariawan, I. P. W. (2025). Rwa Bhineda concept and weighted product method in the Alkin-Provus evaluation model modified design. Indonesian Journal of Educational Development (IJED), 6(2), 547–560. https://doi.org/10.59672/ijed.v6i2.4944

Issue

Section

Articles