Development Of An Artificial Intelligence-Based "Smart Counseling" Application To Improve The Professionality Of Guidance And Counseling Teachers In The Counseling Stage

Ida Sa’adah; Dahlia Novarianing Asri; Tyas Martika Anggriana

doi:10.63922/ijevss.v5i02.5048

Ida Sa’adah Magister Pendidikan Bimbingan dan Konseling, Universitas PGRI Madiun, Indonesia
Dahlia Novarianing Asri Magister Pendidikan Bimbingan dan Konseling, Universitas PGRI Madiun, Indonesia
Tyas Martika Anggriana Magister Pendidikan Bimbingan dan Konseling, Universitas PGRI Madiun, Indonesia

DOI: https://doi.org/10.63922/ijevss.v5i02.5048

Keywords: Artificial Intelligence, counselor professionalism, digital counseling

Abstract

This study aims to develop an Artificial Intelligence (AI)-based counseling service application to enhance the professionalism of school counselors. The research employed a Research and Development (R&D) method using the ADDIE model, including analysis, design, development, implementation, and evaluation stages. The subjects consisted of two expert validators and fifteen school counselors, with instruments in the form of validation and user response questionnaires. The results showed that the developed application was categorized as highly feasible, with an expert validation score of 88% and a user response score of 87.5% in the very good category. The study produced a counseling system based on a four-layer architecture, namely input layer, AI processing layer, knowledge layer, and output layer, enabling a systematic and data-driven counseling process. The findings indicate that the application assists counselors in structuring counseling stages, improving service efficiency, and supporting more structured decision-making. Therefore, this application contributes as an innovative technological solution to enhance the quality and professionalism of counseling services in schools.

References

Branch, R. M. (2009). Instructional design: The ADDIE approach. Springer.
Corey, G. (2017). Theory and practice of counseling and psychotherapy. Cengage Learning.
Dwivedi, Y. K. (2021). Artificial intelligence (AI): Multidisciplinary perspectives. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Fitriani, N., & Yusri, Y. (2022). Pengembangan media layanan bimbingan dan konseling berbasis digital. Jurnal Bimbingan Konseling Indonesia, 7(2), 101–110.
Gysbers, N. C., & Henderson, P. (2012). Developing and managing your school guidance and counseling program (5th ed.). American Counseling Association.
Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education. Center for Curriculum Redesign.
Hwang, G. J., & Tu, Y. F. (2021). Roles of artificial intelligence in education. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
Ifenthaler, D., & Yau, J. Y. K. (2020). Utilising learning analytics to support study success in higher education: A systematic review. Educational Technology Research and Development, 68(4), 1961–1990. https://doi.org/10.1007/s11423-020-09788-z
Kadafi, A., Wiyono, B. B., Muslihati, M., & Ramli, M. (2021). Improving prosocial behavior through virtual media based on religious values in elementary school students. Pegem Journal of Education and Instruction, 11(4), 230–236. https://doi.org/10.47750/pegegog.11.04.22
Kurniawan, D., & Wibowo, A. (2021). Analisis kebutuhan layanan BK berbasis teknologi. Jurnal Konseling Indonesia, 6(1), 45–53.
Laranjo, L. (2018). Conversational agents in healthcare. Journal of the American Medical Informatics Association, 25(9), 1248–1258. https://doi.org/10.1093/jamia/ocy072
Mulyani, S., & Rahmawati, R. (2020). Pemanfaatan teknologi dalam layanan bimbingan dan konseling di sekolah. Jurnal Pendidikan, 5(2), 120–128.
Nasution, S. (2017). Metode research (Penelitian ilmiah). Bumi Aksara.
OECD. (2021). Artificial intelligence and education: Guidance for policy-makers. OECD Publishing.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. https://doi.org/10.1186/s41039-017-0062-8
Prasetyo, B., & Trisyanti, U. (2019). Revolusi industri 4.0 dan tantangan perubahan sosial. Jurnal Ilmu Sosial, 5(1), 22–27.
Rahman, M., & Watanobe, Y. (2023). AI in education review. IEEE Access, 11, 80810–80827. https://doi.org/10.1109/ACCESS.2023.3291207
Riduwan. (2015). Skala pengukuran variabel-variabel penelitian. Alfabeta.
Sari, R., & Nugroho, A. (2023). Digitalisasi layanan BK. Jurnal BK Indonesia, 8(2), 115–124.
Setiawan, A., & Pratama, R. (2022). Analisis kebutuhan BK digital. Jurnal Konseling dan Pendidikan, 10(1), 45–53.
Sugiyono. (2019). Metodologi Penelitian Kuantitatif, Kualitatif dan R & D (1 ed.). Alfabeta.
Suryahadikusumah, A., & Nadya, R. (2022). Instrumen angket pendidikan. Jurnal Pendidikan Indonesia, 11(3), 320–329.
Suwartini, E. A. (2017). Supervisi akademik dalam meningkatkan profesionalitas guru. Jurnal Manajemen Pendidikan, 2(1), 15–23.
Tuomi, I. (2018). AI in education policy. European Union.
UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing.
Wibowo, A., & Nugraha, D. (2020). Pengembangan aplikasi berbasis web dalam layanan pendidikan. Jurnal Teknologi Pendidikan, 22(1), 55–63.
Winkel, W. S. (2012). Bimbingan dan konseling di institusi pendidikan. Media Abadi.
Zhai, X. (2021). AI in education review. Complexity, 8812542. https://doi.org/10.1155/2021/8812542
Zhou, X., & Chen, H. (2022). AI in counseling. Computers in Human Behavior Reports, 5, 100150. https://doi.org/10.1016/j.chbr.2022.100150