ANALISIS FAKTOR-FAKTOR RISIKO TINGKAT STRES MAHASISWA ADMINISTRASI NIAGA PNJ MENGGUNAKAN METODE CLASSIFICATION TREE

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Eva Zulfa Nailufar
Ni Made Widhi Sugianingsih
Anwar Mustofa,
Naufal Arif Hidayat
Cecylia Putri Gianti

Abstract

Tingkat stres di Indonesia terbilang cukup tinggi terutama selama masa pandemi COVID-19. Survei yang dilakukan oleh Perhimpunan Dokter Spesialis Kedokteran Jiwa Indonesia (PDSKJI) mengatakan bahwa sebanyak 46% responden memiliki gejala stres psikologis pasca trauma berat, 33% mengalami gejala stres psikologis pasca trauma sedang. Stres yang terjadi secara berkepanjangan atau kronis dapat berbahaya dan berdampak negatif pada kemampuan seseorang dalam menjalani kehidupan sehari-hari seperti hubungan interpersonal, kesejahteraan mental, serta berbagai masalah kesehatan. Sehingga mengetahui penyebab stres merupakan hal yang penting karena dapat membantu seseorang untuk mengambil tindakan yang tepat dalam mengatasi stres atau menghindari situasi yang memicu stres tersebut. Penelitian ini berfokus pada analisis faktor-faktor yang mempengaruhi tingkat stres mahasiswa jurusan Administrasi Niaga dari Politeknik Negeri Jakarta (PNJ). Metode yang digunakan pada penelitian ini antara lain exploratory data analysis (EDA) dan metode classification tree (pohon keputusan). Tujuan pertama yaitu mendeskripsikan data menggunakan metode EDA. Metode EDA dipilih karena dapat mengelola data lebih dalam untuk mendapatkan hasil yang tidak dapat terlihat pada data mentah. Selanjutnya, tujuan utama penelitian ini adalah mengidentifikasi faktor-faktor yang berasosiasi dengan tingkat stres pada seseorang menggunakan metode classification tree.

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MASTER 2023

References

Olpin, M., & Hesson, M. (2021). Stress management for life: A research-based, experiential approach. Cengage
American Psychological Association. (2021). Stress: Definition. Diakses dari https://www.apa.org/topics/stress
Adeyemo, A. O. (2014). Sources of Stress and Coping Strategies among Undergraduate Students in Nigerian University. International Journal of Psychology and Behavioral Sciences, 4(1), 6-11.
Fatima, S. S., Islam, S., & Nawaz, A. (2013). Work Stress and Burnout among Teachers. European Journal of Business and Management, 5(31), 67-75.
Liu, X., Liu, J., & Wang, X. (2021). The Effect of Urban Stress on Quality of Life and Subjective Well-Being: The Mediating Role of Emotional Intelligence. Frontiers in Psychology, 12, 683572.
Lutz, J., Roesmann, K., Strauss, B., & Altmann, U. (2021). Psychological Distress, Anxiety, and Depression of COVID-19 Patients and Their Caregivers: A Cross-Sectional Study. Psychology, Health & Medicine, 1-12.
Yan, B., Ma, Y., Jiang, Z., Liu, X., Ma, X., & Ji, J. (2021). Stress and Cardiovascular Diseases: A Review of Current Research. Frontiers in Psychiatry, 12, 749817.
Wang, Y., Zhang, L., Chen, Y., & Li, W. (2021). The Relationship Between Psychological Stress and Cognitive Performance in Young Adults. Frontiers in Psychology, 12, 753902.
Wu, X., Liu, S., Zhao, Y., & Li, W. (2021). The Association Between COVID-19-Related Stressors and Insomnia Symptoms in China: A Cross-Sectional Study. Frontiers in Psychiatry, 12, 745616.
Liu, Q., Wang, X., Wu, H., Zhang, Y., Zhang, X., & Chen, W. (2021). Associations of Lifestyle Factors with Perceived Stress among College Students: A Cross-Sectional Study. Frontiers in Public Health, 9, 675067.
Liu, L., Yao, Y., Liu, Z., Yang, X., Zhao, Z., & Liu, X. (2021). Association between Mobile Phone Use and Perceived Stress among Chinese College Students: A Glimpse of the Moderating Role of Sleep. International Journal of Environmental Research and Public Health, 18(15), 8091.
Nakamura, S., Katsuki, R., & Kida, K. (2021). Relationship between So cial Support and Stress in a High-Stress Occupational Group. Industrial Health, 59(2), 145-154.
National Sleep Foundation. (n.d.). How much sleep do we really need? Retrieved from http://www.sleepfoundation.org/article/how-sleep-works/how-much-sleep-do-we-really-need
Marchetti, D., Verrocchio, M. C., Vecchione, M., & Mancini, G. (2021). Coping Strategies as Moderators of the Relationship between Perceived Stress and Negative Affectivity in a Sample of Undergraduate Students. Frontiers in Psychology, 12, 619776.
Cervantes, R., & Garcia-Solis, A. (2021). Identifying Stress Factors Using Classification Trees in a Call Center Environment. Journal of Business Research, 131, 546-556.
Nkosi, D. M., Coetzee, M., & Klopper, H. C. (2021). Using Classification Trees to Identify Factors Associated with Occupational Stress among Hospital Nurses. Journal of Nursing Scholarship, 53(5), 538-548.
Kageyama, K. M., Andrade, L., Tufik, S., & Hoshi, R. A. (2021). A Classification Tree Approach to Predicting Job Stress in Air Traffic Controllers. Aerospace Medicine and Human Performance, 92(1), 5-11.
Rokach, L., & Maimon, O. (2013). Data Mining with Decision Trees. In Series in Machine Perception and Artificial Intelligence: Vol. Volume 81. WORLD SCIENTIFIC. https://doi.org/doi:10.1142/9097
Loftus, S. C. (2022). Exploratory data analyses: describing our data. In Basic Statistics with R (pp. 47–72). Elsevier. https://doi.org/10.1016/b978-0-12-820788-8.00017-1
Bevilacqua, M., Braglia, M., & Montanari, R. (2003). The classification and regression tree approach to pump failure rate analysis. Reliability Engineering and System Safety, 79(1), 59–67. https://doi.org/10.1016/S0951-8320(02)00180-1
Breiman, L. (1984). Classification and Regression Trees (1st ed.). https://doi.org/https://doi.org/10.1201/9781315139470
Tsallis, C. (2011). Entropy: A unifying path for understanding complexity in natural, artificial and social systems. Information Knowledge Systems Management, 10, 291–311. https://doi.org/10.3233/IKS-2012-0198
Han, J., Kamber, M., & Pei, J. (2012). 8 - Classification: Basic Concepts. In J. Han, M. Kamber, & J. B. T.-D. M. (Third E. Pei (Eds.), The Morgan Kaufmann Series in Data Management Systems (pp. 327–391). Morgan Kaufmann. https://doi.org/https://doi.org/10.1016/B978-0-12-381479-1.00008-3
Indriana, N. F. (2020). ANALISIS FAKTOR-FAKTOR RISIKO DEPRESI PADA PENYAKIT PARKINSON STADIUM AWAL. 24–34.
Setianingsih, D. A. (2020). IDENTIFIKASI FAKTOR RISIKO IMPULSE-CONTROL DISORDER SYMPTOMS PADA PENDERITA PENYAKIT PARKINSON. 25–34.