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All Journal SAINSMAT Jurnal Ekonomi & Studi Pembangunan SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Journal of Mathematics, Computation and Statistics (JMATHCOS)
Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
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Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Physics

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Deciphering Celebrity Worship Phenomenon: Simulation and Analysis using SFR Mathematical Model with Time Delay among Fans in South Sulawesi Arsita, Asriani; Minggi, Ilham; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi; Side, Syafruddin; Arwadi, Fajar
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.v7i1.4251

Abstract

This study explores the mathematical SFR model to analyze Celebrity Worship Behavior among devoted K-Pop fans. Primary data were collected through questionnaires distributed within the South Sulawesi Province, providing insights into the dynamics of Celebrity Worship Behavior among K-Pop enthusiasts. The research involves developing an SFR model with time delays, followed by a series of analyses and simulations related to Celebrity Worship Behavior in the K-Pop community. This comprehensive approach includes identifying equilibrium points, evaluating model stability, calculating the basic reproduction number (R0), conducting simulations using Maple software, and interpreting the simulation results. The SFR mathematical model reveals two equilibrium points: one representing the baseline level of Celebrity Worship Behavior among K-Pop fans and the other specific to this behavior. The calculated R0 value of 0.425 suggests a potential decrease in the prevalence of Celebrity Worship Behavior within the K-Pop community.
UNVEILING AMMOTERE ABBAJI: EXPLORING SILARIANG PERPETRATORS WITH SER MATHEMATICAL MODELING AMONG THE BUGIS COMMUNITY IN SOUTH SULAWESI Rudi; Annas, Suwardi; Side, Syafruddin; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi; 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.
Exploring The Future Of Health Through The Selr Mathematical Model With The 4th Order Pertubation Homotopy Method On The Risk Of Diabetes Among Mathematics Students Of Fmipa Unm Due To Unhealthy Lifestyles Side, Syafruddin; Sanusi, Wahida; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Latent-Recovered (SELR) model with a delay time for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carried out to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is an applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method, using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.
Exploring The Future Of Health Through The Selr Mathematical Model With The 4th Order Pertubation Homotopy Method On The Risk Of Diabetes Among Mathematics Students Of Fmipa Unm Due To Unhealthy Lifestyles Side, Syafruddin; Sanusi, Wahida; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Latent-Recovered (SELR) model with a delay time for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carried out to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is an applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method, using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.
Modeling regional fiscal autonomy using multiview graph convolutional networks: Evidence from Mamuju Regency, Indonesia Supriadi, Supriadi; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi; Setiawan, Lukman; Baharuddin, Sitti Mujahida; Azizurrohman, Muhammad
Jurnal Ekonomi & Studi Pembangunan Vol. 27 No. 1: April 2026
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v27i1.30552

Abstract

This study examines the level and dynamics of regional fiscal autonomy in Mamuju Regency, Indonesia, from 2013 to 2023 by integrating conventional public finance indicators with a graph-based machine learning approach. The primary objective is to measure fiscal independence and to evaluate the effectiveness of a Similarity-Based Multi-View Graph Convolutional Network (SMGCN) in modeling complex relationships among local revenue, intergovernmental transfers, and total regional income. Fiscal autonomy is operationalized using a fiscal independence index derived from the ratio of Locally Generated Revenue to total regional revenue, while additional variables capture transfer dependence and structural fiscal composition. The empirical analysis employs annual regional budget realization data, which are transformed into multiple graph views reflecting different fiscal dimensions. These graphs are then processed using SMGCN to classify and predict fiscal autonomy categories. The results indicate that Mamuju Regency exhibits persistently low fiscal autonomy, characterized by a high dependence on central government transfers and a limited contribution of Locally Generated Revenue. From a methodological perspective, the proposed model demonstrates superior predictive performance compared with conventional statistical and machine learning benchmarks, suggesting that graph-based representation learning is suitable for capturing interdependencies among fiscal variables. The findings contribute to the literature on fiscal decentralization by providing both empirical evidence of structural fiscal dependence at the local level and a novel analytical framework for assessing regional fiscal performance. Policy implications emphasize the need for strengthening local revenue bases and diversifying regional economic activities to enhance long term fiscal sustainability.
Co-Authors Arsita, Asriani Azizurrohman, Muhammad Baharuddin, Sitti Mujahida Fajar Arwadi Ilham Minggi Irwan Lukman Setiawan Rudi Sanusi, Wahida Supriadi Supriadi Suwardi Annas Syafruddin Side