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All Journal Prosiding Seminar Nasional Official Statistics DIMASEKA
Nadhifan Humam Fitrial
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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PEMODELAN JUMLAH KASUS COVID-19 DI INDONESIA DENGAN PENDEKATAN REGRESI POISSON DAN REGRESI BINOMIAL NEGATIF Nadhifan Humam Fitrial; Akhmad Fatikhurrizqi
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.408 KB) | DOI: 10.34123/semnasoffstat.v2020i1.465

Abstract

The COVID-19 pandemic has spread throughout the world, including Indonesia. It is necessary to know the various factors that affect the spread of COVID-19 cases so that both the government and the community can make prevention and response efforts so that this pandemic does not spread further. This study aims to model the number of COVID-19 cases in Indonesia and then determine the variables that have a significant effect on them. The model used is Poisson regression and Negative Binomial regression. The two models were chosen because they are a model that is often used for count data such as the number of COVID-19 cases. Then from the two models, the best model will be selected along with the variables that have a significant effect on the number of COVID-19 cases in Indonesia. The unit of analysis in this research is all provinces in Indonesia which consists of 34 provinces. The response variable in this study is the cumulative number of COVID-19 cases in Indonesia on April 9, 2020 which were compiled from Gugus Tugas Percepatan Penanganan COVID-19. This date was chosen because it was the date before the implementation of the PSBB policy for the first time in Indonesia and this study did not take government intervention variables in modeling the cumulative number of COVID-19. The predictor variables in this study were population density, the percentage of the elderly population, the percentage of households with access to improper sanitation, and the percentage of illiteracy rates for the population aged 15 years and over. Based on the AIC value, the Negative Binomial regression is better used to model the number of COVID-19 cases in Indonesia than the Poisson regression. In the Negative Binomial regression model, the population density variable and the percentage of the elderly population have a positive and significant effect on the number of COVID-19 cases in Indonesia.
Pendampingan Mahasiswa Magang di BPS Kota Pekalongan dalam Memahami Indikator Strategis Badan Pusat Statistik ALI FAHRUDIN; Dinar Tri Utami; NADHIFAN HUMAM FITRIAL; RANI KIRNAWATI; MUHAMMAD SHOFIYUDDIN
DIMASEKA Vol 3 No 2 (2025): Oktober 2025
Publisher : FEB Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/dimaseka.v3i2.727

Abstract

Kegiatan Pendampingan Mahasiswa Magang di BPS Kota Pekalongan dalam Memahami Indikator Strategis Badan Pusat Statistik merupakan bentuk implementasi Tri Dharma Perguruan Tinggi pada aspek pengabdian, yang menghubungkan kegiatan akademik dengan kebutuhan institusi pemerintah dan masyarakat luas. Program ini bertujuan meningkatkan literasi statistik dan pemahaman mahasiswa terhadap indikator strategis BPS seperti Indeks Pembangunan Manusia (IPM), Tingkat Pengangguran Terbuka (TPT), kemiskinan, inflasi, dan pertumbuhan ekonomi. Metode pelaksanaan menggunakan pendekatan partisipatif dan experiential learning melalui workshop, diskusi kelompok, serta praktik pengolahan data statistik menggunakan data publikasi BPS. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman mahasiswa, dibuktikan dengan kenaikan nilai rata-rata dari 42,22 pada pretest menjadi 93,33 pada posttest. Mahasiswa juga menunjukkan sikap lebih kritis dan apresiatif terhadap pentingnya data dalam perumusan kebijakan berbasis bukti (evidence-based policy). Kegiatan ini tidak hanya memberikan manfaat edukatif bagi mahasiswa, tetapi juga memperkuat sinergi antara BPS dan perguruan tinggi dalam menumbuhkan budaya literasi statistik di kalangan generasi muda.
Co-Authors Akhmad Fatikhurrizqi ALI FAHRUDIN Dinar Tri Utami Firza Refo Adi Pratama Muhammad Shofiyuddin Novia Putri Lestari RANI KIRNAWATI Risni Julaeni Yuhan Siti Andhasah