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Implementasi Praktik Kerja Lapangan Mahasiswa Matematika di Badan Pusat Statistik Kabupaten Kolaka dalam Mendukung Pembangunan Berbasis Data Muhammad Isbar Pratama; Abdurahman Hamid; Maya Sari Wahyuni; Muhammad Abdy; Irwan Irwan
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 5 No. 2 (2026): Volume 05 Nomor 02 (Mei-Juli 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/0mg3v919

Abstract

Badan Pusat Statistik (BPS) merupakan Lembaga Pemerintah Non Kementerian yang memiliki tanggung jawab langsung kepada Presiden. Kegiatan Praktik Kerja Lapangan (PKL) mahasiswa Jurusan Matematika FMIPA Universitas Negeri Makassar dilaksanakan di BPS Kabupaten Kolaka selama dua bulan, mulai 09 Juni hingga 08 Agustus 2025. Kegiatan ini bertujuan memberikan pengalaman nyata kepada mahasiswa dalam menerapkan ilmu matematika dan statistik pada dunia kerja, khususnya dalam pengolahan data, administrasi, dan sistem informasi statistik. Metode pelaksanaan menggunakan pendekatan deskriptif kualitatif partisipatif, di mana mahasiswa terlibat langsung dalam kegiatan harian kantor dan mendapat bimbingan dari pegawai BPS. Hasil kegiatan menunjukkan bahwa mahasiswa memperoleh wawasan praktis mengenai proses pengumpulan dan pengolahan data statistik, keterampilan administrasi, serta kemampuan komunikasi dan kerja sama tim. Kegiatan PKL ini memperkuat kolaborasi akademik dan profesional mahasiswa sekaligus menjadi wujud kontribusi nyata “Mappuinge Tongguno Majjapi Daerah” dalam mendukung pembangunan berbasis data di Kabupaten Kolaka.
A Mathematical Model with Time Delay for Addressing Online Game Addiction Through Family Time Intervention Based on Local Wisdom in South Sulawesi Muhammad Abdy; Syafruddin Side; Yusuf Ramadana; Andi Muh. Ridho Yusuf SAP
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/Jmathcos9676

Abstract

This study analyzes the dynamics of online game addiction among FMIPA UNM students using a modified time-delayed SEAFR (Susceptible–Exposed–Addicted–Family time–Recovered) mathematical model. Online game addiction is a growing concern that threatens academic performance and social well-being. The research applies a five-stage methodology: (1) literature review of SIR-based models and digital addiction studies to identify compartments and parameters; (2) data collection from 400 students through proportionate stratified random sampling; (3) model development incorporating time delay, cultural norms, and family-based interventions; (4) equilibrium and stability analysis using Jacobian matrices and Routh–Hurwitz criteria; and (5) numerical simulations with MATLAB to evaluate intervention strategies. The analysis yields a basic reproduction number, R₀ = 0.5, indicating that addictive behavior tends to decline without reinforcement of exposure. However, the endemic equilibrium remains locally asymptotically stable, suggesting addiction may persist if interventions are weak. Simulation results highlight that reducing exposure (β), enhancing recovery through awareness and cultural support (γ), and strengthening family-based activities significantly reduce addiction prevalence. These findings show the usefulness of mathematical modeling as a decision-support tool contextualized by local wisdom, offering practical insights for policymakers and educators in designing effective interventions to address student addiction.
Forecasting Acute Respiratory Infection Incidence in South Sulawesi Province Through a Hybrid ARIMA–RBFNN Model Muthia Ramadhani Rafli; Muhammad Abdy; Wahidah Sanusi
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/11958

Abstract

Abstract. Among all notifiable diseases in Indonesia, Acute Respiratory Infection (ARI) consistently registers the highest national burden of illness. Within South Sulawesi Province alone, the eight-month tally from January through August 2023 surpassed 320,942 confirmed cases, underscoring the critical need for reliable case-number projections to guide evidence-based health-service planning. The present work constructs a time series forecasting framework that integrates ARIMA (Autoregressive Integrated Moving Average) with a Radial Basis Function Neural Network (RBFNN) under the hybrid paradigm proposed by Zhang (2003). Monthly ARI incidence data spanning January 2014 to December 2024 provided 132 observations in total. Following a chronological split, the first 96 data points (January 2014–December 2021) served as the training set and the remaining 36 (January 2022–December 2024) as the hold-out evaluation set. ARIMA captured the linear dynamics of the series, whereas RBFNN was subsequently applied to the ARIMA residuals to account for any nonlinear structure that remained unexplained. Minimum-AIC model selection identified ARIMA(2,1,2) as the most suitable linear specification. For the RBFNN stage, a four-lag input vector—derived from the partial autocorrelation function—combined with four hidden units and a multiquadratic basis function delivered the best generalisation performance. Assessed against MAPE, RMSE, and R², the standalone ARIMA(2,1,2) attained 14.19%, 5038.37, and 0.6275, respectively; RBFNN alone produced 15.47%, 4714.93, and 0.5479; and the Hybrid ARIMA–RBFNN yielded 16.11%, 5014.99, and 0.6309. The superior R² of the combined model demonstrates its enhanced capacity to account for data variability. Because all three models returned MAPE values below the 20% threshold, they qualify as good predictors under the Lewis (1982) classification scheme. On this basis, the hybrid approach is put forward as the preferred tool for ARI early-warning and surveillance operations in South Sulawesi.
Geometric Redesign of the Access Road to Turyapada Tower Mountain Tourism in Bali Muhammad Zainul Arifin; Muh Miftahulkhair; Ellyni Dwi Fortuna; Siti Blatiskha Rahmadella Yuga; Hendi Bowoputro; Muhammad Abdy
JOURNAL OF CIVIL ENGINEERING BUILDING AND TRANSPORTATION Vol. 10 No. 2 (2026): JCEBT SEPTEMBER
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jcebt.v10i2.18365

Abstract

Mountain tourism access roads require geometric designs that accommodate terrain constraints, design vehicles, operational safety, and applicable standards. This study evaluates and redesigns the access road to Turyapada Tower Technology Park, Bali, from STA 0+000.00 to STA 1+851.84. Project topographic data, planning documents, and alignment worksheets were analyzed and harmonized with the 2021 Indonesian Road Geometric Design Guidelines. Horizontal and vertical alignments, terrain classification, design speed, curve configuration, longitudinal grade, and earthwork volumes were evaluated using AutoCAD Civil 3D and SketchUp. The final design adopts a 20 km/h design speed and a two-lane two-way undivided configuration. Segment I uses 3.5 m lanes and four spiral-spiral curves, Segment II uses 3.0 m lanes and sixteen spiral-spiral curves, while Segment III uses 3.0 m lanes and nine operational full-circle curves. The maximum longitudinal grade was reduced from 17.11% to 14.98%. Earthwork analysis indicates net excavation in Segments I and II and net embankment in Segment III. The findings demonstrate that mountain tourism access roads require integrated consideration of geometric standards, digital modelling, terrain characteristics, and low-speed operational safety.
Analysis of Queue System On Passport Service Unit Class 1 Immigration Office of Makassar Muhammad Abdy; Wahidah Sanusi; Trys Mukarram
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 6 No. 2 (2017): Volume 6 Nomor 2 (September 2017)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

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

Abstract

Queuing is a common thing in everyday life and can be found in the manufacturing sector as well as in the service sector.No exception at the agency or government office.ULP (Passport Service Unit) The First Class Immigration Office of Makassar City is a technical implementing unit performing the functions of the Directorate General of Immigration in a certain region or city providing services in the field of mmigration.This study aims to determine the queuing model applied to the Passport Service Unit of the First Class Immigration Office of Makassar City and find out whether the level of service provided is optimal.In the analysis process used manual calculation and supportby software POM for Windows 3.Based on analysis of data obtained after the study, modela queues applied to ULP (Unit Passport Service) Class I Immigration Office of Makassar is the (M/M/S):(FCFS/∞/∞).Queue system at Passport Service Unit First Class Immigration of the Office of Makassar City can be said to be normal on a typical day, because it has met the old standard of service time.So that the system applied is optimal.