Self-Learning-Based Thesis Guidance Video Development

  • Debora Debora Universitas Palangka Raya
  • Marko Ayaki Lumbantobing Palangka Raya University
Keywords: Self-Learning, Guidance Video


During the Covid-19 pandemic, where social interaction was limited, including in conducting thesis guidance as well as the teaching and learning process in class, face-to-face was replaced with online learning. If the application of learning videos can increase student motivation and achievement, especially undergraduate students, this study will develop a learning video that emphasizes a medium in conducting thesis guidance, namely how to guide thesis to students using video media that will be developed by researchers by emphasizing the guidance provided. also provides experience of scientific thinking processes. The video was developed based on the flow of thought in thesis writing starting from Chapter 1 to Chapter 5, so that the thesis guidance video is a medium in thesis guidance that will facilitate the supervisor in conducting self-learning-based guidance. Students will do self-evaluation, self-improvement and self-strengthening on thesis guidance with a validated thesis guidance video 3 Material Experts and Media Experts with an average score of 74.6% with a decent category. Student responses on material aspects are average. The average score is 3.40 in the good category, the benefit aspect is 3.45 and the benefit is 3.45, all of which are in the good category.


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Candralaela, F., Jubaedah, Y., & Ningsih, M. P. (2018). Penerapan Video Pembelajaran Untuk Peningkatan Kompetensi Pekerjaan Sosial Pada Peserta Didik Di SMKN 15 Bandung. FamilyEdu: Jurnal Pendidikan Kesejahteraan Keluarga, 4(2), 82–92.

Debora. (2015). Self-Learning In Teacher’s Performance. Indonesian Journal of Educational Review, 2(2), 38–45.

Guo, P. J., Kim, J., & Rubin, R. (2014). How video production affects student engagement: An empirical study of MOOC videos. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 41–50.

Guzdial, M., Li, B., & Riedl, M. O. (2017). Game engine learning from video. IJCAI International Joint Conference on Artificial Intelligence, 0, 3707–3713.

Jana, S. (2018). DeepTest: Automated testing of deep-neural-network-driven autonomous cars. In Proceedings - International Conference on Software Engineering (Vol. 2018).

Kim, J., Guo, P. J., Seaton, D. T., Mitros, P., Gajos, K. Z., & Miller, R. C. (2014). Understanding in-video dropouts and interaction peaks in online lecture videos. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 31–40.

Kristanto, Y. D. (2018). Calon Pengajar Sebagai Produser: Berlatih Merancang Pembelajaran Melalui Produksi Video.

Leasa, M., Syam, F. A., Sayyadi, M., & Batlolona, J. R. (2020). Inovasi Pembelajaran Bagi Guru Sekolah Dasar Dalam Mendesain Video Pembelajaran. Publikasi Pendidikan, 10(1), 80.

Nashrullah, N., Sulton, S., & ... (2019). Pengembangan Video Pembelajaran Adaptasi Dan Cara Berkembang Biak Makhluk Hidup Untuk Siswa Kelas Vi Sekolah Dasar. Jurnal Kajian Teknologi ….

Ramis-Conde, I., & Hope, A. (2020). Training teachers in maintaining equity in the micro-moments of a mathematical dialogue. Teaching and Teacher Education, 87, 102924.

Sarmiento, W. J., & Mesa-Romero, S. (2018). Art, science and technology, brief reflections on interdisciplinary work. TecnoLógicas, 21(41), 9–11.

Sugiyono, P. D. (2010). Metode Penelitian pendidikan (11th ed.). Alfabeta.

How to Cite
Debora, D. and Lumbantobing, M.A. 2022. Self-Learning-Based Thesis Guidance Video Development. Jurnal Ilmiah Kanderang Tingang. 13, 1 (Feb. 2022), 1-12. DOI:

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