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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Ade Marsinta Arsani
BPS-Statistics
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics

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KOMPARASI PEMODELAN REGRESI OLS GAUSSIAN, BETA DAN REGRESI FRACTIONAL PADA DATA RASIO Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika; Nurhidayati Nurhidayati; Sigit Budiantono
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.61

Abstract

The Public Health Development Index (PHDI) is an indicator that describes health problems and plays a role in efforts to increase long and healthy life expectancy. This study aims to compare PHDI modeling in 35 City Districts of Central Java Province using Gaussian-based regression (OLS), beta regression and fractional regression. The independent variables used are the percentage of poor people and the percentage of households accessing proper sanitation. Data is sourced from the Ministry of Health and Central Java Statistics Agency. All three models gave the same results for both simultaneous and partial tests in modeling PHDI modeling cases. Fractional regression models provide the best results with the smallest error value criteria (AIC and BIC). The percentage of poor people has a significant negative effect on IPKM while the percentage of proper sanitation has a significant positive effect on PHDI. Based on these results, it is expected that policy makers can provide comprehensive and targeted policies in improving PHDI in Indonesia
IMPLEMENTATION OF BINARY LOGISTIC ANALYSIS ON DETERMINANTS OF MALARIA STATUS Sigit Budiantono; Dyah Purwanti; Nurhidayati Nurhidayati; Pardomuan Robinson Sihombing; Ade Marsinta Arsani
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.307

Abstract

Malaria is a disease transmitted through mosquitoes; malaria is still one of the endemic diseases in Eastern Indonesia. This study aims to determine the factors that affect malaria status. The independent variables used were region, gender, insect repellent, sowing larvicide powder, draining the bathtub, and mosquito nets. The data comes from the Basic Health Research Report (Riskesdas) 2018. The analysis method used is binomial regression / binary logistics. Based on research states that together all independent variables have a significant effect on a person's malaria status. Partially, the chances of rural status, male sex, not using insect repellent, not using larvicide powder, not draining bathtubs, and not wearing mosquito nets are greater than other categories of malaria status. Therefore, self-awareness of individuals and communities is needed in striving for cleanliness and personal health
Co-Authors Dyah Purwanti Nurhidayati Nurhidayati Pardomuan Robinson Sihombing Putu Pande Wahyu Diatmika Sigit Budiantono Yanti, Ni Komang Semara