PEMODELAN MATEMATIKA PENYEBARAN PERILAKU PERUNDUNGAN DI SEKOLAH MENGGUNAKAN MODEL SBVR

Titania Aulia, Bayu Prihandono, Nilamsari Kusumastuti

Abstract


Bullying in the school environment is a social issue that adversely affects students’ psychological, social, and academic well-being. Understanding the dynamics of bullying behavior can be approached through mathematical modeling. This study develops a mathematical model of bullying behavior using the SBVR framework, which divides the population into four subpopulations: susceptible individuals, bullies, victims, and recovered individuals, to represent the dynamics of bullying behavior and evaluate the role of interventions in controlling it. The contribution of this study lies in the inclusion of a recovery compartment, which enables a more realistic representation of victim dynamics.The model is formulated as a system of nonlinear differential equations and analyzed to determine equilibrium points, compute the basic reproduction number as a key indicator of transmission potential, and evaluate the local stability of these equilibria. The results show that the model has two equilibrium points, namely a bullying-free equilibrium and a bullying-endemic equilibrium. The bullying-free equilibrium is locally asymptotically stable when the basic reproduction number is less than one, whereas the endemic equilibrium is stable when it exceeds one, indicating that this value acts as a threshold for the spread of bullying behavior. Numerical simulations show that increasing the effectiveness of interventions reduces the basic reproduction number and accelerates the decline in the number of bullies and victims. In addition, higher transition rates contribute to a faster spread of bullying behavior. These findings indicate that effective interventions play a crucial role in controlling bullying dynamics and can serve as a basis for developing strategies to reduce bullying in schools.


Keywords


basic reproduction number, stability analysis, anti-bullying program intervention

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References


Al-Maalwi, R., Al-Sheikh, S., Ashi, H. A., & Asiri, S. (2021). Mathematical Modeling andParameter Estimation of Unemployment with the Impact of Training programs. Mathematics and Computer in Simulation, 182, 705–720. https://www.sciencedirect.com/science/article/abs/pii/S0378475420304134

Ashi, H. A. (2021). Stability Analysis of a Simple Mathematical Model for School Bullying. AIMS Mathematics, 7(October), 4936–4945. https://doi.org/10.3934/math.2022274

Boyce, W. E., Diprima, R. C., & Meade, D. B. (2017). Elementary Differential Equations and Boundary Value Problems (11th ed.). Jhon Wiley & Sons. https://books.google.co.id/books/about/Elementary_Differential_Equations_and_Bo.html?id=SyaVDwAAQBAJ&redir_esc=y

Crokidakis, N. (2025). A Mathematical Model for the Bullying Dynamics in Schools. Applied Mathematics and Computation, 1–19. https://doi.org/10.1016/j.amc.2024.129254

Driessche, P. Van Den, & Watmough, J. (2005). Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. IEEE Transactions on Affective Computing, 273–284. https://doi.org/10.1016/S0025-5564(02)00108-6

Erskine, H. E., Maravilla, J. C., Fine, S. L., Ramaiya, A., & Li, M. (2025). Bullying Victimisation and Perpetration and the Association with Mental Disorders Among Adolescents in Kenya , Indonesia , and Vietnam : Findings from the National Adolescent Mental Health Surveys. Child and Adolescent Psychiatry and Mental Health, 19(Suppl 1), 1–13.

Haeringen, E. S. Van, Veltmeijer, E. A., & Gerritsen, C. (2024). Empirical Validation of an Agent-Based Model of Emotion Contagion. IEEE Transactions on Affective Computing, 15(1), 273–284. https://doi.org/10.1109/TAFFC.2023.3272031

Hirsch, M. W., Smale, S., & Devaney, R. L. (2013). Differential Equations, Dynamical Systems, and an Introduction to Chaos. Academic Press. https://doi.org/10.1016/C2009-0-61160-0

Komariyah, S. (2022). Dampak Bullying School Terhadap Perkembangan Sosial Remaja di SMK Al-Muhtadin Depok [FITK UIN Syarif Hidayatullah Jakarta]. https://repository.uinjkt.ac.id/dspace/handle/123456789/61909

Lusiana, S. N. E., & Arifin, S. (2022). Dampak Bullying Terhadap Kepribadian Seorang Anak. Kariman: Jurnal Pendidikan Keislaman, 10, 337–350. https://doi.org/10.52185/kariman.v10i2.252

Martcheva, M. (2015). An Introduction to Mathematical Epidemiology. Springer. https://doi.org/10.1007/978-1-4899-7612-3

Rigby, K. (2024). Theoretical Perspectives and Two Explanatory Models of School Bullying. International Journal of Bullying Prevention, 6(2), 101–109. https://doi.org/10.1007/s42380-022-00141-x

Sinaga, L. P., Kartika, D., & Nasution, H. (2021). Pengantar Sistem Dinamik. Amal Insani. https://books.google.co.id/books/about/Pengantar_Sistem_Dinamik.html?id=N0NTEAAAQBAJ&redir_esc=y

Stubbs-Richardson, M., & May, D. C. (2021). Social Contagion in Bullying: an Examination of Strains and Types of Bullying Victimization in Peer Network. American Journal of Criminal Justice, 46, 749–769. https://doi.org/10.1007/s12103-020-09572-y

Yani, R. A., Mustikasari, M., & Imelisa, R. (2023). International Journal of Social Science And Human Research The Effect of Counseling Group towards Self-efficacy at Victim Bullying Students. International Journal of Social Sciense And Human Research, 06(01), 521–527. https://doi.org/10.47191/ijsshr/v6-i1-69

Yokotani, K., & Takano, M. (2021). Social Contagion of Cyberbullying Via Online Perpetrator and Victim Network. Computers in Human Behaviour, 119.




DOI: https://doi.org/10.20527/epsilon.v20i1.17735

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