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All Journal Jurnal Sains Matematika dan Statistika JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Inferensi DedikasiMU: Journal of Community Service Leibniz: Jurnal Matematika Buletin Sistem Informasi dan Teknologi Islam NEAR: Jurnal Pengabdian kepada Masyarakat Priviet Social Sciences Journal Parameter: Jurnal Matematika, Statistika dan Terapannya
Andi Harismahyanti A.
Program Studi Sains Data, Univeristas Tadulako, Palu, Indonesia
Religion Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Regresi Data Panel dengan Feasible Generalized Least Squares untuk Menganalisis Angka Partisipasi Sekolah Remaja di Indonesia Retno Mayapada; Andi Harismahyanti; A. Muthiah Nur Angriany
Inferensi Vol 9 No 2 (2026)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v9i2.10102

Abstract

School participation among adolescents aged 16-18 years varies across provinces in Indonesia, reflecting disparities in educational access. This study examines the associations of the Unemployment Rate (UR), Average Hourly Earnings of Employees (AHE), Mean Years of Schooling (MYS), and Percentage of Poor Population (PPP) with the School Participation Rate (SPR) with a panel dataset comprising 34 provinces observed from 2018 to 2023. Selection between the panel specifications was based on the Chow and Hausman tests, with the results favoring the Fixed Effects Model (FEM). Diagnostic examination identified heteroskedasticity, serial correlation, and cross-sectional dependence. The model was therefore re-estimated using the modified Feasible Generalized Least Squares (FGLS) estimator proposed by Bai, Choi, and Liao, which accounts for these error dependencies. Results show that AHE, MYS, and PPP were positively associated with SPR, with significant relationships at the 5% level, whereas UR was positively but not significantly associated with SPR. These findings indicate that household economic capacity, educational attainment, and poverty levels are significantly associated with differences in school participation across provinces, while provincial unemployment conditions do not show a statistically significant association. The findings provide evidence on socioeconomic factors associated with school participation among adolescents aged 16-18 years in Indonesia.
PENINGKATAN KREATIVITAS DAN INOVASI DIGITAL PEGAWAI MELALUI PELATIHAN DESAIN GRAFIS PADA INSTANSI BADAN PUSAT STATISTIK KABUPATEN SIGI Nureni Nureni; Jamidun Jamidun; Nurul Fiskia Gamayanti; Andi Harismahyanti A.; Moh Syafwan I. Djuru
DedikasiMU : Journal of Community Service Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/dedikasimu.v7i1.8581

Abstract

Pengabdian ini bertujuan meningkatkan kreativitas dan inovasi digital pegawai Badan Pusat Statistik (BPS) Kabupaten Sigi melalui pelatihan desain grafis menggunakan aplikasi Pixellab berbasis Android. Pelatihan ini dirancang untuk membantu pegawai menguasai keterampilan mendesain grafis yang lebih informatif dan menarik guna mempublikasikan data statistik. Pelaksanaan kegiatan meliputi penyampaian materi secara teori dan praktik langsung yang dibantu oleh tim pendamping. Setelah pelatihan, dilakukan evaluasi untuk mengukur pemahaman dan kemampuan peserta dalam memanfaatkan aplikasi Pixellab untuk membuat desain visual yang relevan dengan pekerjaan mereka. Hasil pelatihan menunjukkan peningkatan signifikan dalam pemahaman konsep desain grafis dan keterampilan teknis pegawai dalam membuat infografis yang dapat dipublikasikan. Pegawai BPS kini lebih mampu menyampaikan informasi statistik dengan lebih efektif dan menarik bagi masyarakat luas. Pelatihan ini diharapkan berkontribusi pada peningkatan kualitas layanan publikasi data BPS Kabupaten Sigi dan dapat dikembangkan lebih lanjut melalui pelatihan lanjutan yang mencakup aspek desain tingkat lanjut.
Bias Reduced Linearization for Cluster Robust Standard Errors: An Application to Panel Data Analysis of Indonesia's Human Development Index 2018–2022 A. Muthiah Nur Angriany; Andi Harismahyanti A; Raupong Raupong; A. Miftah Nabila Muthiah
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 5 No 2 (2026): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv5i2pp301-318

Abstract

AbstractThe Human Development Index (HDI) is a vital metric for evaluating the quality of life across the domains of health, education, and standard of living. Accurate estimation in this context necessitates a robust statistical approach, particularly when dealing with panel data characterized by limited clusters. This study employs the Cluster Robust Standard Error (CRSE) method, grounded in Bias-Reduced Linearization (BRL), to address bias in standard error estimations and facilitate more valid statistical inferences for modeling the HDI in Indonesia from 2018–2022. Utilizing secondary data from the Central Bureau of Statistics (BPS), the analysis compares common, fixed, and random effect models, with the final model selection informed by the Chow and Hausman tests. The findings reveal that the average years of schooling, Gross Regional Domestic Product (GRDP) at constant prices, and access to safe drinking water significantly enhance the HDI, while poverty and open unemployment rates exert a significantly negative effect. The application of the BRL estimator is demonstrated to be superior to conventional Ordinary Least Squares (OLS), as it effectively accounts for intra-cluster correlation, yielding stable and unbiased standard errors. This enhances the reliability of the t- and F-test results, thereby facilitating more accurate policy-making conclusions regarding human development.
Co-Authors A. Miftah Nabila Muthiah A. Muthiah Nur Angriany A. Muthiah Nur Angriany Aditya Dwiputra Alimatun Najiha Asfar Asfar Dinda Lestari Erfiani Erfiani Fitrianto, Anwar Inda Sri Wahyu N. Naser Indahwati Jamidun Jamidun Jamidun Jamidun Lusy Suryani Moh Syafwan I. Djuru Moh. Batara Morina A. Fathan Muh. Zarkawi Yahya Muhammad Edy Rizal Muhammad Edy Rizal Nadya Indah Shafira Ni Putu Christina Pradnya Dewi Nur'eni, Nur'eni Nureni Nureni Nureni Nurul Fiskia Gamayanti Nurul Fiskia Gamayanti Nur’eni Nur’eni Nur’eni, Nur’eni Ratmila, Ratmila Raupong Raupong Retno Mayapada Sitti Nurhaliza Sitti Nurhaliza Sitti Nurhaliza Yahya, Muh. Zarkawi Yunita, Andi Isna