Estimation of Bullying Incidence Using Linear Regression Algorithm
DOI:
https://doi.org/10.59934/jaiea.v4i1.642Keywords:
Estimate, Bullying, Linear_RegressionAbstract
Bullying is a violent act intended to cause harm or humiliation to another person. Bullying can take many different forms, including verbal and nonverbal, and it frequently targets people who are thought to be weaker or different. Nevertheless, because many bullying incidents go unreported, it is challenging to gather reliable statistics on the prevalence of bullying. In this study, the number of bullying cases in the field of education is estimated using a linear regression approach. This algorithm is used because it may estimate based on pertinent data, like the gender-based type of bullying and data on the quantity of bullying events that occurred in the preceding year. According to the study's findings, 2,250 bullying incidences are predicted for the upcoming year 2024, with a MAPE (Mean Absolute Percentage Error) of 0,07% or an accuracy level of 99,3%, categorized as highly accurate forecasting results.
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Diannita, A., Salsabela, F., Wijiati, L., & Putri, A. M. S. (2023). The Impact of Bullying on Students in Junior High School. Journal of Education Research, 4(1), 297–301 https://doi.org/10.37985/jer.v4i1.117
Jelita, N. S. D., Purnamasari, I., & Basyar, M. A. K. (2021). The Impact of Bullying on Children's Self-Esteem. Edukatika Reflection: Educational Scientific Journal, 11(2), 232–240. https://doi.org/10.24176/re.v11i2.5530
Hudiyanti, C. V., Bachtiar, F. A., & Setiawan, B. D. (2019). Comparison of Double Moving Average and Double Exponential Smoothing for Forecasting the Number of International Tourist Arrivals at Ngurah Rai Airport. Journal of Information Technology. Development and Computer Science, 3(3), 2667–2672.
Taufik, M., Khamim, M., & Indriasari, E. (2024). Prevention of Bullying in the School Environment. AKM: Action to the Community, 5(1), 287–292. https://doi.org/10.36908/akm.v5i1.1093 https://doi.org/10.36908/akm.v5i1.1093
Siregar, A. Z. (2021). Implementation of Multiple Linear Regression Method in Estimating the Enrollment Rate of New Students. Kesatria: Journal of Information System Application (Computer and Management), 2(3), 133–137.
UNESCO. (2023). The Impact of Bullying on Children's Education: A Global Study
Xu, Y., Chau, V., & Möhring, R. H. (2022). Introduction to the special section on parallel and distributed computing, algorithms, programming, applications and technologies (VSI-pdcat4). Computers and Electrical Engineering, 100, 1–5. https://doi.org/10.1016/j.compeleceng.2022.107929
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