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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Keteknikan dan Sains (JUTEKS) Jurnal Matematika UNAND Jurnal Varian JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) ESTIMASI: Journal of Statistics and Its Application Indonesian Journal of Statistics and Its Applications
Sri Astuti Thamrin
Departemen Statistika, Universitas Hasanuddin, Indonesia
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : ESTIMASI: Journal of Statistics and Its Application

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Pemodelan Regresi Logistik Ordinal dengan Dispersi Efek Lokasi Ainun Utari Budistiharah; Anna Islamiyati; Sri Astuti Thamrin
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 2, Juli, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v4i2.12355

Abstract

Logistic regression ordinal is a regression model that can explain the relationship between predictor variables in the form of categorical data or continuous data with response variable is more than two categories with a scale of measurement that is level or sequence. In ordinal logistic regression, the frequency of occurrence in each response category is often very different, so it will affect the model's accuracy. Therefore, this study will model ordinal logistic regression with a dispersion of location effects, then applied to the nutritional status data of toddler in 2019 at the Pekkae Puskesmas, Barru Regency. The results obtained show that the ordinal logistic regression model with the dispersion of location effects is better than the usual ordinal logistic regression model for predicting the nutritional status data for toddlers in 2019 at Pekkae Puskesmas, Barru Regency based on deviance values. The factors that influence the nutritional status of toddler based on TB/U are gender, age, and height.
Pendugaan Koefisien Regresi Logistik Biner Menggunakan Algoritma Least Angle Regression Utami, Mamik; Islamiyati, Anna; Thamrin, Sri Astuti
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 1, Januari, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i1.12489

Abstract

Binary logistic regression is a statistical analysis method that aims to determine the relationship between variable which has two categories with the predictor variable that have categorical or continuous scale. The method that used to estimate logistic regression parameters is Maximum Likelihood Estimation (MLE) method. In estimating parameters, Least Angle Regression (LAR) algorithm is used to select the significant variables in order to get the best model from the estimation results of binary logistic regression coefficients. This LAR algorithm is applied to the risko of stunting data in two-year-old-babies at Buntu Batu Health Center working area, Enrekang Regency, South Sulawesi in 2019. This results obtained in the estimation of binary logistic regression prediction model using LAR algorithm, the standard error value is 0.018 smaller than the standard error value of binary logistic regression, which is 0.025. This shows that the binary logistic regression model using LAR algorithm is better than the usual binary logistic regression model on the risk of stunting data. Based on the results obtained, the variables that significantly affect the risk of stunting in two-year-old-babies on 2019 are father’s height, body length of birth, exclusive breastfeeding, history of infectious diseases, and history of immunization.
Co-Authors Adhel, Fadilah Amirul Afifah Afifah Ainun Mawaddah Abdal Ainun Utari Budistiharah Al Anshory, Fadhil Amil, Sri Indriani Andreza Andreza Anisa Anisa Anna Islamiyati Anna Islamiyati Anna Islamiyati Ansariadi Ansariadi Armin Lawi Armin Lawi Dewi Rahma Ente Dian Ayu Permata Sari Rusdy Dian Sidik Edy Saputra Rusdi Ernasari, Ernasari Hedi Kuswanto Herdiani, Erna Tri I Gusti Agung Komang Diafari Djuni Hartawan Inayah, Ika Irma Andriani Iwan Kurniawan Jaya, A. Kresna Jusmawati Massalesse Kasbawati Kasbawati Khaerati, Rusydah Muralia Hustim Naimah Aris Naimah Aris Najhah Aris Nur Erawaty Nur Erawaty Nuravia Nuravia Nurdin Nurdin Okta Nofri PRANANDA, ADHIYAKSA Ramadhan, Muh. Nur Bahri Rezki, Nurul Rombe, Yoris Rosdiana Rosdiana S Siswanto Sahriman, Sitti Samsu Arif Siddik, A. Muh. Amil Sirajang, Nasrah Siswanto Siswanto Sitti Sahriman Sumaya, Andi Dewi Utami, Mamik Wahda, Wahda