ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA (IPM) MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL DAN REGRESI PROBIT ORDINAL (Studi Kasus Kabupaten/Kota di Jawa Tengah Tahun 2014)

NURMALASARI, RATIH (2017) ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA (IPM) MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL DAN REGRESI PROBIT ORDINAL (Studi Kasus Kabupaten/Kota di Jawa Tengah Tahun 2014). Undergraduate thesis, Fakultas Sains dan Matematika, Undip.

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Abstract

Human Development Index (HDI) is one of the most important indicator to observe another dimensions of human development. The HDI is a measurement for achievement levels of the quality of human development. In conjuction with economic development, human development needs analysis avialibility and proper policymaking, as well as evaluating the on going development process, to find out its capability to improve the quality of life as an object of development. This study analyze HDI in the Districts/Cities of Central Java in 2014. The Central Java’s HDI data is categorized as low, medium, and high. The HDI presumed to be affected by many factors, such as high school participation rates, middle school graduates percentage, percentage of household with clean water access, numbers of health facility, open unemployment rate,and labour force participation rate. This study used the ordinal logistic regression and the ordinal probit regression as its statical analysis method. The result showed that factors affecting HDI in the Districts/Cities of Central Java in 2014 are percentage of household with clean water access and numbers of health facility. To evaluate the performance of ordinal logistic regression and the ordinal probit regression, researcher uses classification accuracy and AIC. Based on reasearch classification accuracy and AIC of each methods, the result showed that both the ordinal logistic regression and the ordinal probit regression has good result in analyzing factors affecting Human Development Index in the Districts/Cities of Central Java in 2014. Keywords: HDI, Ordinal Logistic Regression, Ordinal Probit Regression, Classification Accuracy, AIC

Item Type:Thesis (Undergraduate)
Subjects:H Social Sciences > HA Statistics
Divisions:Faculty of Science and Mathematics > Department of Statistics
ID Code:55068
Deposited By:Mr Hasbi Yasin
Deposited On:26 Jul 2017 09:30
Last Modified:26 Jul 2017 09:30

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