Ni Luh Putu Suciptawati

MEMODELKAN KEMISKINAN PENDUDUK PROVINSI BALI DENGAN REGRESI DATA PANEL

One indicator of the success of development programs undertaken is the declining percentage of the poor, defined as the ratio of the number of people classified as poor to the total population. For Bali province, despite its economic growth is higher than national rate; 6.03 percent and 6.24 percent compared to 4.88 percent and 5.02 percent in 2015 and 2016, respectively; the poor are still observed in this province by 4.15 percent of its 4.2 million population in September 2016. In order to make development programs in Bali more effective to decrease the number of poor people, significant determinants of poor have to be recognised. The purpose of this work is to model and to determine the significant factor(s) that affect the percentage of poor in Bali province by applying panel data analysis. Percentage of poor for period 2007 to 2015 is positioned as the dependent variable while economic growth, unemployment rate, labor force participation rates, total population, and human development index as the independent ones. We found the best model to describe the causal relationship among variables is fixed effect model and two predictors, the economic growth rate and human development index, were significant in affecting the number of poor in Bali province.

APLIKASI REGRESI COX PROPORTIONAL HAZARD PADA SINTASAN PASIEN DIABETES MELITUS

Diabetes melitus is one of the deadliest diseases in the world. Until now, the incidence and the mortality rate due to diabetes melitus is still very high. To determine the survival of diabetes melitus patients, the significant factors that affect must be obtained by applying Cox Proportional Hazard regression method. The purpose of this study is to determine the chances of probability of diabetes melitus patients and to determine the significant factors that affect on the survival of diabetes melitus patients. The variables used in this study are the length of time of inpatient of diabetes melitus patient in RSUD Wangaya as dependent variable, while age, gender, genetic, blood glucose status, accompanying disease, pain, diabetes drug and insulin, and body mass index as independent variable. Through the analysis of this study we obtained the significant factors that affect the survival of diabetes melitus patients are sex, blood glucose status, and accompanying diseases.