Efektivitas Chatbot Konseling Terhadap Kesehatan Mental Mahasiswa BPI IAIN Metro Efektivitas Chatbot Konseling Terhadap Kesehatan Mental Mahasiswa BPI IAIN Metro

Main Article Content

Aisyah Khumairo

Abstract

This research is motivated by the increasing academic, social and personal pressure experienced by BPI IAIN Metro students in the digital era, which has a negative impact on mental health. Students often face various problems such as academic stress, confusion in choosing a career, and social pressure. The aim of this research is to measure the effectiveness of counseling chatbots in improving the mental health of students in the Islamic Counseling Guidance Study Program at IAIN Metro. The theory used involves the concept of mental health, which includes psychological well-being and psychological stress as well as cybercounseling based on artificial intelligence (AI) technology. This research is a quantitative experiment with a One Group Pretest-Posttest design to measure changes in students' stress levels and mental well-being before and after the counseling chatbot treatment. Samples were taken from BPI students who had low mental health, namely 15 students and data was collected using a Likert scale and analyzed using statistical analysis techniques. The results of the research show that chatbot counseling services are effective in improving students' mental well-being. After the intervention, there was a significant improvement in students' mental health, as evidenced by the results of the paired t-test and N-Gain test which showed a significant increase from pretest to posttest. Counseling chatbots are proving to be an innovative and practical solution to help students overcome mental health problems.

Article Details

How to Cite
Aisyah Khumairo. (2025). Efektivitas Chatbot Konseling Terhadap Kesehatan Mental Mahasiswa BPI IAIN Metro: Efektivitas Chatbot Konseling Terhadap Kesehatan Mental Mahasiswa BPI IAIN Metro. CONS-IEDU, 5(1), 88-98. https://doi.org/10.51192/cons.v5i1.1257
Section
Articles

References

Anand, N., Pant, L. M., Alam, T., Pundir, S., Thomas, L., & Rakshith, U. R. (2023). Artificial Intelligence’s Contribution To Mental Health Education. 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 462–467. https://doi.org/10.1109/ICSCDS56580.2023.10104905

Aziz, R., Mangestuti, R., Sholichatun, Y., Rahayu, I. T., Purwaningtyas, E. K., & Wahyuni, E. N. (2021). model pengukuran kesehatan mental mahasiswa di perguruan tinggi Islam. Journal of Islamic and Contemporary Psychology (JICOP), 1(2), 83–94.

CA Abdillah, N. N. (2023). The Application of Group Counseling Services to Minimize Academic Stress in High School Students. BISMA The Journal of Counseling. https://doi.org/doi: 10.23887/bisma.v7i1.59175

Dama, D. P., Suroso, A., & Nurhasanah, D. P. (2024). The Effect of Generation Z Participation and Financial Technology Innovation on Community Welfare and Sustainable Development in MSMEs in Indonesia. West Science Social and Humanities Studies, 2(04), 577–587. https://doi.org/10.58812/wsshs.v2i04.790

Dienlin, T. (2024). Book Review: The Anxious Generation: How the Great Rewiring of Childhood Is Causing an Epidemic of Mental Illness, by Jonathan Haidt. SAGE Publications Sage CA: Los Angeles, CA.

Kassymova, G., Abutalip, D., Okenova, B., Yesbossyn, M., & Dossayeva, S. (2023). Importance of dialogue in psychological counselling to avoid stress anxiety of Generation Z. Bulletin of Kazakh Leading Academy of Architecture and Construction, 88(2), 270–283. https://doi.org/10.51488/1680-080x/2023.2-27

Kesarwani, S., Titiksha, & Juneja, S. (2023). Student Chatbot System: A Review on Educational Chatbot. 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 1578–1583. https://doi.org/10.1109/ICOEI56765.2023.10125876

Koivisto, M. (2023). Tutoring Postgraduate Students with an AI-Based Chatbot. International Journal of Advanced Corporate Learning (IJAC), 16(1), 41–54. https://doi.org/10.3991/ijac.v16i1.35437

Nguyen, H., Lopez, J., Homer, B., Ali, A., & Ahn, J. (2023). Reminders, reflections, and relationships: insights from the design of a chatbot for college advising. Information and Learning Sciences, 124(3/4), 128–146. https://doi.org/10.1108/ILS-10-2022-0116

Stratton, S. J. (2019). Quasi-Experimental Design (Pre-Test and Post-Test Studies) in Prehospital and Disaster Research. Prehospital and Disaster Medicine, 34(6), 573–574. https://doi.org/10.1017/S1049023X19005053

Yulia, H. (2023). Pemanfaatan Artificial Intelligence pada Pelaksanaan Cyber Counseling pada Pengguna Aplikasi Replika. Jurnal Ilmiah Multidisiplin, 2(11), 5321–5328.

Zhang, Z., & Gillespie, C. (2023). The Impact of Teaching and Learning Changes during the COVID-19 Pandemic on the Post-Pandemic Era. ACM International Conference Proceeding Series, 256–262. https://doi.org/10.1145/3606094.3606116