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All Journal Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Lembaga Pengabdian Kepada Masyarakat Undana
Albert Mario Kumanireng
Universitas Nusa Cendana
Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Mathematics Social Sciences

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Pelatihan Penggunaan Maple dan SPSS untuk Guru SMP Kencana Sakti Haumeni So’e Irvandi Gorby Pasangka; Robertus Dole Guntur; Albert Mario Kumanireng; Mira Wadu; Elisabeth Brielin Sinu; Brian Juned Septory; Arista Marlince Tamonob; Efraim Kurniawan Dairo Kette; Farly Oktriany Haning
Jurnal Pengabdian Kepada Masyarakat Undana Vol 20 No 1 (2026): JUNI 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jpkmlppm.v20i1.27536

Abstract

Kegiatan pengabdian pada masyarakat ini bertujuan untuk dapat meningkatkan kualitas dan ketrampilan guru dengan memanfaatkan teknologi yang semakin berkembang khususnya dalam menggunakan program Maple dan SPSS sebagai alat bantu dalam melakukan suatu penelitian. Dengan bantuan program Maple dan SPSS, pengolahan data penelitian dapat dilakukan dengan mudah dan cepat. Materi yang disampaikan yaitu terkait dasar-dasar penggunaan program Maple dan SPSS beserta manfaatnya. Berdasarkan hasil evaluasi kegiatan ini, diketahui bahwa para guru sudah dapat menggunakan program Maple dan SPSS.
Recidivism-Driven Persistence in Crime Dynamics: A Comparative S–C–P–R Compartmental Model for Kupang City, Indonesia Yohanes Yordente Wete; Maria Lobo; Maria Agustina Kleden; Albert Mario Kumanireng
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 2 August 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i2.38389

Abstract

Crime remains a significant social problem in Kupang City, which recorded 2,173 criminal cases in the first half of 2024, necessitating a quantitative approach to understand its dynamics. This study aims to construct and analyze mathematical models of crime dynamics in Kupang City by considering the role of recidivism. Two compartmental models (S–C–P–R) are developed: a model with recidivism and a model without recidivism, each formulated as a system of ordinary differential equations. The analysis includes the determination of equilibrium points, the basic reproduction number (R0) using the Next Generation Matrix method, stability analysis via the Jacobian matrix and the Routh–Hurwitz criterion, sensitivity analysis, and numerical simulation using a Nonstandard Finite Difference (NSFD) scheme. Parameter estimation is performed through exponential regression based on crime data from Kupang City for the period 2013–2024. The results show that the model without recidivism yields R0 = 2.3525, indicating that criminal activity will persist and grow over time. The crime-free equilibrium point is locally asymptotically stable when R0  1, and sensitivity analysis identifies the transmission rate β as the most influential parameter affecting R0. In the model with recidivism, the feedback loop from the recovered compartment to the criminal compartment causes the crime-free equilibrium point to become unstable, and R0 is not well-defined due to the absence of a clear generational structure. These findings suggest that recidivism significantly complicates crime control and that strategies focused on reducing the transmission rate β are essential for suppressing criminal activity in Kupang City.
Co-Authors Arista Marlince Tamonob Brian Juned Septory Efraim Kurniawan Dairo Kette Elisabeth Brielin Sinu Farly Oktriany Haning Irvandi Gorby Pasangka Maria Agustina Kleden MARIA LOBO Mira Wadu Robertus Dole Guntur Yohanes Yordente Wete