Impact of moving class, AI technology, and infrastructure on students’ mental well-being at SMK 6 Surakarta

Salsabila Putri Azzahra, Subroto Rapih

Abstract

Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh moving class, teknologi pembelajaran AI, dan sarpras terhadap mental well-being siswa SMK 6 Surakarta baik secara simultan maupun parsial. Penelitian ini menggunakan pendekatan penelitian kuantitatif. Sampel berjumlah 85 dengan teknik sampel stratified random sampling. Teknik pengumpulan data menggunakan angket. Teknik analisis data menggunakan teknik analisis linear berganda dengan bantuan IBM SPSS versi 26. Hasil penelitian menunjukkan bahwa: (1) terdapat pengaruh yang positif dan signifikan moving class terhadap mental well-being siswa SMK Negeri 6 Surakarta dengan nilai thitung > ttabel (1,86 > 1,66) dan nilai signifikasi pada moving class sebesar 0,06 < 0,1; (2) tidak terdapat pengaruh yang positif dan signifikan teknologi pembelajaran AI terhadap mental well-being siswa SMK Negeri 6 Surakarta dengan nilai thitung < ttabel (1,52 < 1,66) dan nilai signifikansi 0,13 > 0,05; (3) terdapat pengaruh yang positif dan signifikan sarpras terhadap mental well-being siswa SMK Negeri 6 Surakarta dengan nilai thitung > ttabel (4,46 > 1,66) dengan nilai signifikansi 0,00 < 0,05; (4) Terdapat pengaruh yang positif dan signifikan secara bersama-sama moving class, teknologi pembelajaran AI, dan sarpras terhadap mental well-being siswa SMK Negeri 6 Surakarta dengan nilai Fhitung > Ftabel (17,39 > 4,14) dengan nilai signifikansi 0,00 <0,05.

 

Keywords : kesehatan mental; sarana pembelajaran; sistem pembelajaran; teknologi pembelajaran

 

Abstract: This study aims to determine the effect of moving class, AI learning technology, and infrastructure on the mental well-being of students of SMK 6 Surakarta both simultaneously and partially. This study uses a quantitative research approach. The sample amounted to 85 with stratified random sampling technique. The data collection technique used a questionnaire. Data analysis techniques using multiple linear analysis techniques with the help of IBM SPSS version 26. The results showed that: (1) there is a positive and significant effect of moving class on mental well-being of students of SMK Negeri 6 Surakarta with a tvalue > ttable (1.86> 1.66) and a significance value on moving class of 0.06 < 0.1; (2) there is no positive and significant effect of AI learning technology on mental well-being of students of SMK Negeri 6 Surakarta with a tvalue < ttable (1.52 < 1.66) and a significance value of 0.13 > 0.05; (3) there is a positive and significant influence of infrastructure on mental well-being of students of SMK Negeri 6 Surakarta with the value of tvalue > ttable (4.46 > 1.66) with a significance value of 0.00 < 0.05; (4) there is a positive and significant influence together moving class, AI learning technology, and infrastructure on mental well-being of students of SMK Negeri 6 Surakarta with the value of Fvalue > Ftable (17.39 > 4.14) with a significance value of 0.00 < 0.05.

 

Keywords : learning facilities; learning system; learning technology; mental health

Keywords

kesehatan mental; sarana pembelajaran; sistem pembelajaran; teknologi pembelajaran; learning facilities; learning system; learning technology; mental health

Full Text:

PDF

References

Abdillah, H. Z., Partino, & Madjid, A. (2023). Enhancing student well-being through AI Chat GPT in the smart education university learning environment: A preliminary review of research literature. E3S Web of Conferences, 440, 05005. https://doi.org/10.1051/e3sconf/202344005005

Aulia, F. (2018). Improving Student Well-being in School. In Solfema, T. Hermaleni, Z. Fikry, & M. Pratama (Eds.), Major issues and other topics related to Mental Health, Neuroscience, and Cyber-psychology. (pp. 172 - 179). Padang: Fakultas Ilmu Pendidikan. https://doi.org/10.32698/25275

Campbell, F., Blank, L., Cantrell, A., Baxter, S., Blackmore, C., Dixon, J., & Goyder, E. (2022). Factors that influence mental health of university and college students in the UK: a systematic review. BMC Public Health 22, 1778. https://doi.org/10.1186/s12889-022-13943-x

Emadpoor, L., Lavasani, M. G., & Shahcheraghi, S. M. (2016). Relationship between perceived social support and psychological well-being among students based on mediating role of academic motivation. International Journal of Mental Health and Addiction, 14(3), 284–290. https://doi.org/10.1007/s11469-015-9608-4

Fadhillah, E. P. A. (2016). Hubungan antara psychological well-being dan happiness pada remaja di pondok pesantren. Jurnal Ilmiah Psikologi Gunadarma, 9(1), 1–10.

Gautam, S., Jain, A., Chaudhary, J., Gautam, M., Gaur, M., & Grover, S. (2024). Concept of mental health and mental well-being: Its determinants and coping strategies. Indian Journal of Psychiatry, 66(2), S231–S244. https://doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_707_23

Ismail, Z., & Shujaat, N. (2018). Factors affecting the mental well-being of undergraduate students in Karachi. Advances in Social Sciences Research Journal, 5(3), 1–12. https://doi.org/10.14738/assrj.53.3704

Lintar, H. L. (2023). Penggunaan sarana prasarana sekolah dalam meningkatkan motivasi belajar siswa di madrasah. Al-Miskawaih: Journal of Science Education, 2(1), 67–84. https://doi.org/10.56436/mijose.v2i1.222

Mukarom, M. Z, & Daeli, W. (2023). The relationship of mental health with learning achievement in adolescent. Cities and Urban Development Journal, 1(2), 1-7. https://doi.org/10.7454/cudj.v1i2.1014

Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, 57(6), 1069–1081. https://doi.org/10.1037/0022-3514.57.6.1069

Siswanto, E., & Hidayati, D. (2020). Management indicators of good infrastructure facilities to improve school quality. In International Journal on Education, Management and Innovation (IJEMI), 1(1) 69-81.

Slimmen, S., Timmermans, O., Mikolajczak-Degrauwe, K., & Oenema, A. (2022). How stress-related factors affect mental wellbeing of university students: A cross-sectional study to explore the associations between stressors, perceived stress, and mental wellbeing. PLOS ONE, 17(11), e0275925. https://doi.org/10.1371/journal.pone.0275925

Supriadi, S. R. R., Sulistiyani, & Chusni, M. M. (2022). Inovasi pembelajaran berbasis teknologi artificial intelligence dalam pendidikan di era industry 4.0 dan society 5.0. Jurnal Penelitian Sains dan Pendidikan (JPSP), 2(2), 192-198. https://e-journal.iain-palangkaraya.ac.id/index.php/mipa/

Suri, I., Yanti, Y., Oktavia, D., & Aini, S. (2020). Pengaruh penerapan sistem moving class terhadap motivasi belajar siswa pada mata pelajaran bahasa Jepang di SMA Cendana Pekanbaru. Jurnal Manajemen Pendidikan, 5(3), 189–193. https://doi.org/10.34125/jmp.v5i3.796

Wogu, I. A. P., Misra, S., Assibong, P., Olu-Owolabi, E., Maskeliunas, R., & Damaševičius, R. (2019). Artificial intelligence, smart classrooms and online education in the 21st century: Implications for human development. Journal of Cases on Information Technology, 21(3), 66–79. https://doi.org/10.4018/JCIT.2019070105

DOI: https://doi.org/10.20961/jikap.v9i3.101070

Refbacks

  • There are currently no refbacks.