Development of the Rumah Karya application in the educational technology study program as a media database for the works of lecturers and students

Sella Mawarni, Universitas Negeri Makassar, Indonesia
Hartoto Hartoto, Universitas Negeri Makassar, Indonesia

Abstract


This research aims to produce Rumah Karya applications that provide a media product database for lecturers and students in the Educational Technology Study Program at Makassar State University. The research method used in this research is R&D (Research and Development), with the ADDIE development model divided into five stages: analysis, design, development, implementation, and evaluation. The Rumah Karya application has been validated by the head of a study program as a material expert and an information technology (IT) expert. Validation from material experts obtained an average of 98% very feasible category, and validation from IT experts obtained an average of 92% very feasible category. This application has been tested by lecturers and students in the Educational Technology study program, which produces an average of 83.8% which includes a very feasible category. The Rumah Karya application has been registered as intellectual property rights at Makassar State University. The Rumah Karya application has been implemented and integrated with the Educational Technology study program website. This research has the potential to carry out further research related to additional development features in Rumah Karya that can enhance the user experience in using the application. This research can also be extended to other study programs or other educational institutions to measure the generalization of Rumah Karya's application in improving the quality of media products in educational institutions.


Keywords


Rumah Karya, basis data, visualisasi data

Full Text:

PDF

References


Andrasto, T. (2015). Development of a Database System for Research Results and Community Service for Unnes Lecturers. Journal of Electrical Engineering, 5(2). doi: https://doi.org/10.15294/jte.v5i2.3556

Apriani, D., Aan, M., & Saputra, W. (2022). Data Visualization Using Google Data Studio. International Journal of Cyber and IT Service Management (IJCITSM), 2(1), 11-19. Retrieved from https://iiast-journal.org/ijcitsm/index.php/IJCITSM/article/view/68

Arikunto, S. (2009). Fundamentals of Educational Evaluation. Jakarta: Earth Script.

Barnes, S. & Vidgen, R. (2002). An Integrative Approach to the Assessment of E-Commerce Quality. Journal of Electronic Commerce Research. 3. 114-127.

Bates, AW (2019). Teaching in a Digital Age – Third Edition. Vancouver, BC: Tony Bates Associates Ltd. Retrieved from https://pressbooks.bccampus.ca/teachinginadigitalagev2/

Dukić, D. (2013). Online databases as research support and the role of librarians in their promotion: The case of Croatia. Library Collections, Acquisitions, and Technical Services , 37 (1-2), 56-65. https://doi.org/10.1016/j.lcats.2013.09.005

Goh, A. Dai Yong, Charmaine Sum May Ng, Yhim Ghee Toh, Joy Boon Ka Chong, Eng-Hui Chew, Kevin Yi-Lwern Yap. (2021). Development of a Probiotics Practice E-Reference Database for Health Care Professionals. Clinical Therapeutics Volume 43 Issue 12 Pages e364-e376.e3. ISSN 0149-2918, https://doi.org/10.1016/j.clinthera.2021.10.007 .

Kemp, G., & White, G. (2021). Google Data Studio for Beginners. doi:10.1007/978-1-4842-5156-0

Muharni, Sita & Apri Candra. (2022). Data Visualization Module Book Using Data Studio. Malang: CV. Eternal Archipelago Literacy.

Purnadi, H. (2021). Utilization of Google Spreadsheet and Google Data Studio as a Temperature and Humidity Dashboard in the Laboratory. Metro people. PPSDK , 1 (1), 28-33. E-ISSN : 2828-2035. doi 10.55101/ppsdk.v1i1.639.

Rerung, RR, Fauzan, M., & Hermawan, H. (2020). Website quality measurement of higher education services institution region IV using Webqual 4.0 method. International Journal of Advances in Data and Information Systems , 1 (2), 89-102.

Sarker, Shuronjit Kumar, Nawshad Haque, Warren Bruckard, Muhammed Bhuiyan, Biplob Kumar Pramanik. (2022). Development of a geospatial database of tailings storage facilities in Australia using satellite images. Chemosphere Volume 303 Part 2. ISSN 0045-6535. https://doi.org/10.1016/j.chemosphere.2022.135139 .

Snipes, G., (2018) “Google Data Studio”, Journal of Librarianship and Scholarly Communication 6(1), eP2214. doi: https://doi.org/10.7710/2162-3309.2214




DOI: https://doi.org/10.21831/jitp.v10i1.58902

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Sella Mawarni

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

Our journal indexed by:

         

View Journal Statistics