Web-Based Expert System to Detect Stress on College Students

Grensya Bella Vega Persulessy, Nova S Pratama, Novianti Setiawan, Nina Sevani


This research aimed to make the application to detect stress for the college students. By early detecting stress on college students, it could help them to cope with their stress and avoid the negative impact of the stress. The Holmes-Rahe Readjustment Rating Scale was used to detect stress based on student life events. Each event had its score. There were 31 questions provided by the system. The final score would conclude the stress categories. Using the Forward Chaining Inference Engine, the system would collect the fact of the student life and give the result by accumulating scores on questions posed to the users from every question. The system also provided the reminder feature that led to continuous monitoring of stress condition in the students. About 65 correspondents who were selected using random sampling were asked to fill out questionnaires regarding this system after they tried the application. With the continuous monitoring, the researchers find that this system gives a result that all users have decreased their score of stress levels. Moreover, the correspondents rate that the design of the application is good enough, and the system is interesting and useful for helps to provide a solution for stress.


web-based expert system, stress, college students

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Allexandre, D., Bernstein, A. M., Walker, E., Hunter, J., Roizen, M. F., & Morledge, T. J. (2016). A webbased mindfulness stress management program in a corporate call center: A randomized clinical trial to evaluate the added benefit of onsite group support. Journal of Occupational and Environmental Medicine, 58(3), 254-264. https://doi.org/10.1097/JOM.0000000000000680

Billings, D. W., Cook, R. F., Hendrickson, A., & Dove, D. C. (2008). A web-based approach to managing stress and mood disorders in the workforce. Journal of Occupational and Environmental Medicine, 50(8), 960-968. https://doi.org/10.1097/JOM.0b013e31816c435b

Chakraborty, A. K., Ghorai, A. K., De, R. K., Chakraborty, S., Jha, S. K., Mitra, S., & Goswami, K. K. (2013). Expert system for integrated stress management in Jute (Corchorus olitorius L. and C. capsularis L.). International Journal of Bio-Resource and Stress Management, 4(2), 192-200.

Felsten, G. (2004). Stress reactivity and vulnerability to depressed mood in college students. Personality and Individual Differences, 36(4), 789-800. https://doi.org/10.1016/S0191-8869(03)00152-1

Gaol, N. T. L. (2016). Teori stres: Stimulus, respons, dan transaksional. Buletin Psikologi, 24(1), 1-11.

Haidar, S. A., de Vries, N. K., Karavetian, M., & El-Rassi, R. (2018). Stress, Anxiety, and Weight Gain among University and College Students: A Systematic Review. Journal of the Academy of Nutrition and Dietetics, 118(2), 261-274. https://doi.org/10.1016/j.jand.2017.10.015

Meyer, G. J., Finn, S. E., Eyde, L. D., Kay, G. G., Moreland, K. L., Dies, R. R., ... & Reed, G. M. (2001). Psychological testing and psychological assessment: A review of evidence and issues. American Psychologist, 56(2), 128-165. https://doi.org/10.1037/0003-066X.56.2.128

Oguntimilehin, A., Abiola, O. B., & Adeyemo, O. A. (2015). A clinical decision support system for managing stress. Journal of Emerging Trends in Computing and Information Sciences, 6(8), 436-442.

Sevani, N., & Silvia, S. (2015). Web deteksi gangguan kecemasan dan depresi. ULTIMATICS, 7(1), 20-26.

Silitonga, D. V., & Budiharto, W. (2015). An expert system of measurement of individual knowledge for teeth treatment. International Journal of Software Engineering and Its Applications, 9(4), 11-18.

Subawa, I. G. B., Wirawan, I. M. A., & Sunarya, I. M. G. (2015). Pengembangan sistem pendukung keputusan pemilihan pegawai terbaik menggunakan metode Simple Additive Weighting (SAW) di PT Tirta Jaya Abadi Singaraja. KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika), 4(5), 24-33.

DOI: https://doi.org/10.21512/comtech.v10i1.4987


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