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PEMODELAN MATEMATIKA TERHADAP KECANDUAN GAME ONLINE BERDASARKAN MODEL SEIRS PADA BERBAGAI KELOMPOK USIA DI INDONESIA Siregar, Annisa Fadhillah Putri; Firmansyah, Firmansyah; Panjaitan, Dedy Juliandri
Majalah Ilmiah METHODA Vol. 14 No. 1 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The mathematical model can be used to analyze many real-life problems. One of them is the case of online game addiction, which is currently rampant in Indonesia. This research will analyze the SEIRS mathematical model in the case of online game addiction experienced by various age groups. The purpose of this research is to understand mathematical modeling based on the SEIRS model for cases of online game addiction in various age groups in Indonesia. The result of this research is the mathematical model, which is , S(0) = 17; E(0) = 25; , I(0) = 6; and , R(0) = 2.
PEMODELAN MATEMATIKA TERHADAP KECANDUAN GAME ONLINE BERDASARKAN MODEL SEIRS PADA BERBAGAI KELOMPOK USIA DI INDONESIA Siregar, Annisa Fadhillah Putri; Firmansyah, Firmansyah; Panjaitan, Dedy Juliandri
Majalah Ilmiah METHODA Vol. 14 No. 1 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No1.pp87-92

Abstract

The mathematical model can be used to analyze many real-life problems. One of them is the case of online game addiction, which is currently rampant in Indonesia. This research will analyze the SEIRS mathematical model in the case of online game addiction experienced by various age groups. The purpose of this research is to understand mathematical modeling based on the SEIRS model for cases of online game addiction in various age groups in Indonesia. The result of this research is the mathematical model, which is , S(0) = 17; E(0) = 25; , I(0) = 6; and , R(0) = 2.
SEIRS MATHEMATICAL MODEL FOR ANALYZING THE SPREAD AND PERSISTENCE OF GADGET ADDICTION IN ELEMENTARY SCHOOL CHILDREN Panjaitan, Dedy Juliandri; Siregar, Annisa Fadhillah Putri; Sapta, Andy; Aprilia, Rima
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0585-0602

Abstract

Gadget addiction among elementary school-aged children has become a serious concern, especially with the increasing screen time that potentially disrupts learning focus, social interaction, and emotional development. Despite various efforts to control gadget usage, many schools and parents struggle to monitor and predict addiction trends effectively. This gap highlights the need for a structured approach to analyze and predict the spread of gadget addiction. Therefore, this study aims to model the dynamics of gadget addiction using the SEIRS (Susceptible-Exposed-Infected-Recovered-Susceptible) mathematical model. Data were collected through questionnaires to categorize individuals into susceptible (S), exposed (E), addicted (I), and recovered (R) groups. The model was numerically solved using the 5th-order Runge-Kutta method in MATLAB. Simulation results show a decrease in the susceptible group over time, an initial increase and eventual decline in exposed and addicted individuals, and a steady increase in the recovered group, with possible relapse into susceptibility. The analysis reveals that gadget addiction is likely to persist when the basic reproduction number exceeds a critical threshold, signifying the potential for long-term behavioral entrenchment. Sensitivity analysis indicates that the dynamics of gadget addiction are strongly influenced by the rate of peer interaction and the speed at which exposure leads to addiction, whereas higher recovery rates play a significant role in reducing its prevalence. The numerical analysis contributes by offering a reliable and accurate method for simulating real-world addiction patterns. This model provides a quantitative basis for designing more effective intervention strategies. However, this study is limited by the absence of real-time observational data and relies on parameter estimation from survey-based responses.