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Siti Hariati Hastuti
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : JAMBURA JOURNAL OF PROBABILITY AND STATISTICS

 1 
Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kasus Tuberculosis di Kabupaten Lombok Timur menggunakan Model Spatial Autoregressive Poisson Adini, Ertina Septia; Azizah, Efida; Hastuti, Siti Hariati; Ghazali, Muhammad
Jambura Journal of Probability and Statistics Vol 6, No 1 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i1.30913

Abstract

Tuberculosis (TB) is a deadly infectious disease caused by the bacteria Mycobacterium tuberculosis. According to the NTB Provincial Health Office, the number of TB cases in NTB Province was reported as many as 7,305 cases in 2019. East Lombok Regency in that year recorded 1,521 TB cases. The high number of TB cases in East Lombok Regency is an interesting reason to use statistical analysis techniques in modeling variables that influence the number of TB cases in East Lombok Regency. This study uses Spatial Autoregressive Poisson (SAR Poisson) analysis. This method is a development of the classical regression method by considering spatial dependence on the dependent variable, namely count data that follows the Poisson distribution. According to the results of the study, there is significant spatial dependence on the data based on the results of the Moran's I test. The results of the SAR Poisson modeling show that only the Population Density variable (X_4) has a significant effect on the number of TB cases in East Lombok Regency with a parameter value of -1.24 x 10^{-21}. The corrected determination coefficient showed quite high results with a value of 71.8\%, which means that the model can explain most of the variability in the data, which is an indication that the model has a good fit and high relevance to the data. The results of the mapping of the comparison of actual data and the estimated value of TB cases from the SAR Poisson model showed similar results. 
Analisis Geographically Weighted Regression (GWR) Berbasis Pemetaan pada Jumlah Menara Telepon Seluler di Kabupaten Lombok Tengah Tahun 2021 Wati, Rana Ambarwati; Febiana, Izu Izatul; Hastuti, Siti Hariati
Jambura Journal of Probability and Statistics Vol 6, No 1 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i1.24770

Abstract

Cell towers are tall structures where telecommunications equipment and antennas are installed to support cellular networks. This research aims to analyze the influence of Population Size (X1) and the Number of Service Operators (X2) on the Number of Cellular Phone Towers (Y ) in 139 villages in Central Lombok Regency in 2021. The Geographically Weighted Regression (GWR) method is used to understand spatial variability in the relationship between variables (X1) and (X2) with respect to variable Y . This method is an advancement of the OLS regression analysis method, taking spatial variability into account. By using this method, it is hoped that more accurate spatial distribution patterns can be identified, along with solutions that can assist in the planning of telecommunications infrastructure development in this area. The analysis results indicate that there is significant spatial variability in the distribution of the number of cellular towers based on the Breusch-Pagan test. The significance test results for the parameters show that only the Population Size variable (X1) has a significant effect on the Number of Cellular Towers (Y ) across all observation units (villages) in Central Lombok Regency. The comparison of models shows that the GWR model for the Number of Cellular Towers is better than the OLS Regression, with lower AIC and SSE values and a higher coefficient of determination (R2). 
Co-Authors Abdullah, Abdullah Adini, Ertina Septia Amli, Istia Datul Apriska Ayu Saputri Askariyah, Askariyah Ayu Septiani Ayu Septiani, Ayu Ayundasari, Dita Septiana Azizah, Efida Basirun, Basirun Chintyana, Alissa CHOIRUN NISA Deviani Deviani Febiana, Izu Izatul Fitri, Ika Julia Ghazali, Muhammad Hardani, Bq Ika Hariani, Fitri Hauliati, Siti Hendrayani, Hendrayani Herniyati Herniyati, Herniyati Husnaeni, Ririn Robiatul Husnul Khotimah Jatiatul Muhsinah Kartanah, Kartanah Kertanah, Kertanah Lasmiani, Bq Tia Ayu Muhammad Gazali Nurmayanti, Wiwit Pura Ristu Haiban Hirzi, Ristu Rodi Satriawan Sastriana, Hanipar Mahyulis Sholihah, Imroatun Umam Hidayaturrohman Wati, Rana Ambarwati Wiwit Pura Nurmayanti Wulandari, Baiq Yuliandita