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All Journal MATAPPA: Jurnal Pengabdian Kepada Masyarakat Inferensi PENGABDI: Jurnal Hasil Pengabdian Masyarakat Ininnawa: Jurnal Pengabdian Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Sudarmin Sudarmin
UNiversitas Negeri Makassar
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Mathematics Public Health Social Sciences Other

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Evaluating the Performance of Zero-Inflated and Hurdle Poisson Models for Modeling Overdispersion in Count Data Aswi Aswi; Sri Ayu Astuti; Sudarmin Sudarmin
Inferensi Vol 5, No 1 (2022): Inferensi
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v5i1.12422

Abstract

A Poisson regression model is commonly used to model count data. The Poisson model assumes equidispersion, that is, the mean is equal to the variance. This assumption is often violated. In count data, overdispersion (the variance is larger than the mean) occurs frequently due to excessive zeroes in the response variable. Zero-inflated Poisson (ZIP) and Hurdle models are commonly used to fit data with excessive zeros. Although some studies have compared the ZIP and Hurdle models, the results are inconsistent. This paper aims to evaluate the performance of ZIP and Hurdle Poisson models for overdispersion data through both simulation study and real data. Data were simulated with three different sample sizes, six different means, and three different probabilities of zero with 500 replications. Model goodness-of-fit measures were compared by using Akaike Information Criteria (AIC). Overall, the ZIP model performed relatively the same or better than the Hurdle Poisson model under different scenarios, but both ZIP and Hurdle models are better than the standard Poisson model for overdispersion in count data.
Pelatihan Analisis Spasial Menggunakan R Studio Aswi Aswi; Bobby Poerwanto; Sudarmin Sudarmin
MATAPPA: Jurnal Pengabdian Kepada Masyarakat Volume 5 Nomor 1 Tahun 2022
Publisher : STKIP Andi Matappa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31100/matappa.v5i1.1396

Abstract

Pelatihan ini bertujuan untuk melatih para peserta melakukan analisis spasial dengan menggunakan software R Studio. Dalam pelaksanaannya, kegiatan terdiri dari 3 sesi yaitu sesi pendampingan instalasi software, pemberian materi, dan tanya jawab. Umpan balik yang diberikan peserta dalam hal kesesuaian materi dengan kebutuhan, kemudahan penerapan materi, sistematika penyampaian materi, dan penguasaan materi narasumber juga sangat baik.
Metodologi Penelitian dan Teknik Analisis Data Muh. Arif Tiro; Muh. Nusrang; Sudarmin Sudarmin
PENGABDI PENGABDI : VOL. 1, NO. 2 (2020)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pengabdi.v1i2.15766

Abstract

Mitra Program Kemitraan Masyarakat (PKM) ini adalah guru di SMAN 4 Kabupaten Pinrang. Masalahnya adalah: (1) Rendahnya pemahaman guru tentang membuat rencana, pelaksanaan dan pelaporan penelitian, 2). Rendahnya pemahaman guru dalam menulis artikel ilmiah, serta 3). Rendahnya pemahaman guru terkait metode analisis data yang akan digunakan.. Metode yang digunakan adalah: memberikan workshop pemahaman terkait metodologi penelitian dan teknik analisis data. Hasil yang dicapai adalah (1) Guru Mampu membuat artikel ilmiah dengan baik dan benar, 2). Guru lebih memahami langkah-langkah dalam melakukan penelitian, 3). Publikasi pada jurnal nasional.
A Semiparametric Geographically Weighted Regression Approach to Modeling Human Development Index Disparity in South Sulawesi Zakiyah Mar'ah; Ruliana Ruliana; Sudarmin Sudarmin
Journal of Mathematics, Computations and Statistics Vol. 9 No. 3 (2026): Volume 09 Issue 03 (September 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/4xdvbz17

Abstract

Human Development Index (HDI) values in the 24 regencies and cities of South Sulawesi ranged from 69.45 to 85.23 in 2024. This study asks which indicators account for that gap and whether their associations with HDI vary by location, using Semiparametric Geographically Weighted Regression (SGWR), which keeps some coefficients fixed province-wide and lets others vary locally. Nine predictors from BPS-Statistics of South Sulawesi Province were used, including three HDI dimension indicators (life expectancy, expected years of schooling and per-capita expenditure), whose coefficients are read as the weight of each dimension in the observed disparity. Distances were great-circle distances between regency capitals. Each coefficient was classified as local or global with a Monte Carlo test of spatial variability, bandwidths were chosen by AICc, and local t-tests used the da Silva–Fotheringham adjusted level. Only the intercept and the construction cost index varied significantly (p = 0.013 and 0.003), with the same result for polygon centroids. The resulting SGWR fitted slightly better than OLS (AICc 18.34 against 20.03, a difference below 2), a fully local GWR overfitted (AICc 40.13), and no local coefficient was significant. Expenditure per capita, expected years of schooling and life expectancy were the significant province-wide associations. HDI disparity across South Sulawesi's regencies is therefore driven mainly by the expenditure and education dimensions, in much the same way across the province.
Pelatihan Literasi Digital dan Pemahaman Artificial Intelligence Siswa SMA Negeri 4 Gowa dalam Menghadapi Tantangan Era Data Muhammad Kasim Aidid; Hardianti Hafid; Sudarmin Sudarmin
Ininnawa : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2026): Volume 04 Nomor 02 (November 2026)
Publisher : Program Studi Manajemen FEB UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/bptgw839

Abstract

Perkembangan teknologi digital yang pesat, khususnya kecerdasan buatan (Artificial Intelligence), telah mengubah cara generasi muda mengakses dan mengolah informasi. Kepemilikan perangkat digital di kalangan siswa SMA Negeri 4 Gowa, Kabupaten Gowa belum diimbangi dengan literasi digital dan pemahaman AI yang memadai, sehingga siswa berisiko menjadi konsumen teknologi yang pasif serta rentan terhadap hoaks, pelanggaran privasi data, dan penyalahgunaan AI generatif dalam tugas akademik. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan literasi digital dan pemahaman dasar AI siswa melalui pendekatan partisipatif berupa sosialisasi, pelatihan, dan pendampingan human–AI collaboration. Metode pelaksanaan terdiri atas tiga rangkaian kegiatan, yaitu pelatihan literasi digital, pelatihan pemahaman AI dasar dan etika penggunaannya (termasuk prompt  engineering sederhana), serta pendampingan praktik kolaborasi manusia dan AI dalam pengolahan data sederhana. Evaluasi keberhasilan kegiatan dilakukan secara kualitatif melalui observasi langsung terhadap partisipasi dan keterlibatan peserta selama pelatihan berlangsung. Hasil observasi menunjukkan tingginya partisipasi dan antusiasme siswa dalam memahami literasi digital dan etika penggunaan AI, khususnya pada sesi praktik penyusunan prompt . Kegiatan ini diharapkan dapat menjadi model penguatan kompetensi digital bagi siswa sekolah menengah atas dalam menghadapi tantangan era data.
Co-Authors Aswi, Aswi Bobby Poerwanto Hardianti Hafid Muh. Arif Tiro Muh. Nusrang Muhammad Kasim Aidid Ruliana Sri Ayu Astuti Zakiyah Mar'ah