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UNVEILING AMMOTERE ABBAJI: EXPLORING SILARIANG PERPETRATORS WITH SER MATHEMATICAL MODELING AMONG THE BUGIS COMMUNITY IN SOUTH SULAWESI Rudi; Suwardi Annas; Syafruddin Side; Andi Muhammad Ridho Yusuf Sainon Andi Pandjajangi; Irwan
Journal of Mathematics, Computations and Statistics Vol. 7 No. 1 (2024): Volume 07 Nomor 01 (April 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i1.4252

Abstract

This study focuses on the mathematical SER model capturing the rate of Ammotere Abbaji Case Behavior among individuals associated with Silariang. Primary data is gathered through questionnaires administered directly to the community in South Sulawesi Province, shedding light on the pace of Ammotere Abbaji Case Behavior among those involved with Silariang. The research journey starts with the construction of the SER model, followed by an analysis and simulation of the Ammotere Abbaji Case Behavior among Silariang participants. This encompasses identifying equilibrium points, evaluating model stability, computing the basic reproduction number (R0), conducting model simulations using Maple software, and interpreting the simulation results. Within this article, the mathematical SER model emerges through the analytical lens and simulation of Ammotere Abbaji Case Behavior among Silariang participants. Two equilibrium points are discovered: the free equilibrium point of Ammotere Abbaji Case Behavior among Silariang participants, and the equilibrium point specific to this behavior. The calculated basic reproduction number R0=0.045 indicates a decrease in the population engaged in Ammotere Abbaji Case Behavior among Silariang participants.
Mathematical Game Theory in Optimal Strategy Analysis for E-Wallet Competition (Case Study: Users of GoPay, DANA, and OVO in Makassar City) Syafruddin Side; Irwan; Ummul Khadijah
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.7356

Abstract

. Game theory is a branch of applied mathematics within operations research that focuses on studying and understanding competitive situations involving multiple parties. The rapid growth of e-wallet usage has significantly intensified competition in the digital sector. This study aims to analyze the optimal strategies in the e-wallet competition between GoPay, DANA, and OVO in Makassar City using game theory. The data utilized in this research were obtained through a questionnaire survey involving 100 student respondents. Six strategic attributes are examined: product, price, promotion, place, practicality, and security. The results indicate that in the competition between GoPay and OVO, GoPay's optimal strategy is to focus on promotion to maximize profits, while OVO's optimal strategy is prioritizing security to minimize losses. In the competition between DANA and OVO, DANA's optimal strategies include product, price, and place to achieve maximum profits, while OVO focuses on product, promotion, and place to minimize losses. Meanwhile, in the competition between DANA and GoPay, DANA's optimal strategies are price, practicality, and security to maximize profitability, while GoPay prioritizes price, place, and security to minimize losses. These findings demonstrate the varying strategic approaches each e-wallet employs to adapt to the competitive market dynamics and optimize outcomes based on their respective priorities and strengths