PENGEMBANGAN FRAMEWORK MOBILE LEARNING PADA PERTANIAN SAYURAN

Erlangga Erlangga, Herbert Siregar, Yaya Wihardi

Abstract


In vegetable production, farmers face many obstacles, such as the problems related to seeds, pest and disease control, commodity prices, and marketing of produces. There is almost no useful information and technology easily accessible to improve the situation. With the better penetration of the Internet to the villages and the wide availability of inexpensive mobile devices, mobile learning provides a good solution. This study is aimed to create a mobile learning framework that provides information and interactive communication about vegetable production needed by farmers. The method used was instructional design of ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Usability surveys of the proposed prototype to farmers, extension agents (field technical assistants), and researchers, result in 79.4%, 87.3%, and 87% satisfaction testing, respectively, in information needs fulfillment. Summative Testing in the aspect of User Acceptance Testing of validity and reliability indicated that the prototype could be used by farmers. Based on the assessment by experts, 87.3% of them agreed that the mobile learning framework for vegetable farming could provide learning information about vegetable production. 

Keywords: Mobile Learning, Mobile Learning Framework, Mobile Learning Agriculture, ADDIE (Analysis, Design, Development, Implementation, Evaluation)


DOI: http://doi.org/10.5281/zenodo.3631040


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References


Arsanti, I. W. (2014). Sayuran Dataran Tinggi : Alternatif Pengungkit Daya Saing Indonesia. 223–242.

Darwis, V., & Muslim, C. (2013). Keragaman Dan Titik Impas Usaha Tani Aneka Sayuran Pada Lahan Sawah Di Kabupaten Karawang , Jawa Barat. 9(2), 155–162.

Elmorshidy, A. (2012). Mobile learning–A new success model. The Journal of Global Business Management, 8(2), 18–27.

Jayasinghe, J. A. S. S., & Hewagamage, K. P. (2017). An innovative mobile learning framework for the field of Agriculture extension Sri Lanka. 16th International Conference on Advances in ICT for Emerging Regions, ICTer 2016 - Conference Proceedings, 72–79. https://doi.org/10.1109/ICTER.2016.7829901

March, J. S., Parker, J. D. A., Sullivan, K., Stallings, P., & Conners, C. K. (1997). The Multidimensional Anxiety Scale for Children (MASC): Factor structure, reliability, and validity. Journal of the American Academy of Child and Adolescent Psychiatry, 36(4), 554–565. https://doi.org/10.1097/00004583-199704000-00019

Nadiyah, R. S., & Faaizah, S. (2015). The Development of Online Project Based Collaborative Learning Using ADDIE Model. Procedia - Social and Behavioral Sciences, 195(October), 1803–1812. https://doi.org/10.1016/j.sbspro.2015.06.392

Saccol, A. Z., Reinhard, N., Kich, M., Barbosa, J. L. V., Schlemmer, E., & Hahn, R. (2009). A framework for the design of ubiquitous learning applications. Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS, 1–10. https://doi.org/10.1109/HICSS.2009.13

Sung Youl Park. (2014). An Analysis of the Technology Acceptance Model in Understanding University Students’ Behavioral Intention to Use e-Learning. Sung Youl Park, 4(2), 1–22.

Yu, F., Tan, C. P., Zhang, J. F., Sun, S. F., Zheng, H. G., Liu, X., … Qin, X. J. (2017). Design and development of the farmers’ personalized m-learning system. 2015 International Conference on Computer Science and Applications, CSA 2015, 208–212. https://doi.org/10.1109/CSA.2015.44


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