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Identifikasi Prediktor Jumlah Kasus Baru Tuberkolosis di Jawa Barat: Perbandingan Regresi Poisson, Binomial Negatif, dan Poisson terbobot Geografis Khalishah, Athayya Putri; Advani, Nadjma Maulidya; Syahputra, Fathur Rahman; Brilliant, Indira Ihnu; Setiawan, Ezra Putranda
ESTIMASI: Journal of Statistics and Its Application Vol. 7, No. 1, Januari, 2026 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v7i1.34314

Abstract

Tuberculosis (TB) is still a serious problem for the world, including Indonesia as the third largest contributor of TB cases in the world. This study aims to analyze the factors that affect the number of new TB cases in West Java Province as the province with the most TB cases in Indonesia in 2022. The response variable used is the number of new TB cases in West Java Province in 2022, while the predictor variables used are population density, number of AIDS cases, poverty, and sanitation. Since the dependent variable comes from counting procedure, we conducted the analysis through three models, namely Poisson regression, negative binomial regression, and Geographically Weighted Poisson Regression (GWPR). We find that in the negative binomial method there was only one insignificant predictor variable, namely population density. Based on influential predictor variables, GWPR models in districts / cities in West Java can be separated into four groups. The best model to analyze the factors affecting new TB cases is the negative binomial regression model with an AIC of 487.76.
Penguatan Literasi Statistika Guru Matematika Kulon Progo melalui Workshop Analisis Data Statistika Deskriptif Wutsqa, Dhoriva Urwatul; Susanti, Mathilda; Setiawan, Ezra Putranda; Arini, Luthfia Hanun Yuli
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 5 No. 3: Mei 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joong-ki.v5i3.17396

Abstract

Literasi statistika merupakan kemampuan penting yang perlu dikembangkan dalam pembelajaran matematika karena berkaitan dengan kemampuan memahami, menafsirkan, mengevaluasi, dan menggunakan informasi berbasis data dalam pengambilan keputusan. Namun, pembelajaran statistika di sekolah masih cenderung berfokus pada prosedur perhitungan dan belum sepenuhnya diarahkan pada penguatan literasi statistika siswa. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan guru MGMP Matematika SMA/SMK sederajat Kabupaten Kulon Progo dalam merancang pembelajaran dan instrumen evaluasi berbasis literasi statistika. Kegiatan dilaksanakan dalam bentuk workshop pada 28 Agustus 2025 di UNY Kampus Wates dengan peserta sebanyak 29 guru. Materi kegiatan meliputi konsep literasi statistika, penerapannya dalam pembelajaran, contoh LKPD berbasis Problem Based Learning, serta penyusunan instrumen literasi statistika. Hasil evaluasi menunjukkan bahwa peserta memberikan respons positif terhadap kegiatan. Rata-rata 63% peserta menyatakan sangat setuju dan 36% setuju bahwa kegiatan meningkatkan pemahaman mereka terhadap materi. Selain itu, kualitas pelaksanaan workshop dinilai sangat baik oleh 74% peserta dan baik oleh 23% peserta. Dengan demikian, workshop ini efektif dalam memperkuat pemahaman guru mengenai literasi statistika serta memberikan acuan praktis dalam pengembangan pembelajaran dan evaluasi statistika yang kontekstual.
Regresi Data Panel dalam Analisis Faktor-Faktor yang Mempengaruhi Tingkat Pengangguran Terbuka di Provinsi Daerah Istimewa Yogyakarta Tahun 2017-2021 Pamuji, Agung; Setiawan, Ezra Putranda; Munir, Amir Mishbahul
Indonesian Journal of Applied Statistics Vol 6, No 2 (2023)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v6i2.80010

Abstract

Open unemployment is one of the most important problems in a country's economy. High unemployment rates can cause serious economic impacts, such as reduced productivity, poverty, and social instability. This problem is one that currently being faced by Indonesia, including in the Province of Special Region of Yogyakarta. This study aims to analyze the factors that influence the open unemployment rate in the Special Region of Yogyakarta Province in the 2017-2021 period. The factors tested include the Human Development Index (HDI), Regional Gross Domestic Product (Regional GDP), and District/City Minimum Wage. This study uses the panel data regression method using annual data from each district/city in the Special Region of Yogyakarta Province during the 2017-2021 period. The results showed that the Human Development Index (HDI) and District/City Minimum Wage variables positively and significantly affected the open unemployment rate in Special Region of Yogyakarta Province during the study period. Meanwhile, the GRDP variable has an insignificant effect on the open unemployment rate in the Special Region of Yogyakarta Province.Keywords: Data Panel; TPT; IPM; UMK; PDRB