Analysis of variables affecting unemployment rate and detecting for cluster in West Java, Central Java, and East Java in 2012

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The objective of this study is modeling the Unemployment Rate (UR) in West Java, Central Java, and East Java, with rate of disease, infant mortality rate, educational level, population size, proportion of married people, and GDRP as the explanatory variables. Spatial factors are also considered in the modeling since the closer the distance, the higher the correlation. This study uses the secondary data from BPS (Badan Pusat Statistik). The data will be analyzed using Moran I test, to obtain the information about spatial dependence, and using Spatial Autoregressive modeling to obtain the information, which variables are significant affecting UR and how great the influence of the spatial factors. The result is, variables proportion of married people, rate of disease, and population size are related significantly to UR. In all three regions, the Hotspot of unemployed will also be detected districts/cities using Spatial Scan Statistics Method. The results are 22 districts/cities as a regional group with the highest unemployed (Most likely cluster) in the study area; 2 districts/cities as a regional group with the highest unemployed in West Java; 1 district/city as a regional groups with the highest unemployed in Central Java; 15 districts/cities as a regional group with the highest unemployed in East Java.

Original languageEnglish
Title of host publicationProceedings of the 7th SEAMS UGM International Conference on Mathematics and Its Applications 2015
Subtitle of host publicationEnhancing the Role of Mathematics in Interdisciplinary Research
EditorsYeni Susanti, Indah Emilia Wijayanti, Fajar Adi Kusumo, Irwan Endrayanto Aluicius
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735413542
DOIs
Publication statusPublished - 11 Feb 2016
Event7th SEAMS UGM International Conference on Mathematics and Its Applications: Enhancing the Role of Mathematics in Interdisciplinary Research - Yogyakarta, Indonesia
Duration: 18 Aug 201521 Aug 2015

Publication series

NameAIP Conference Proceedings
Volume1707
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference7th SEAMS UGM International Conference on Mathematics and Its Applications: Enhancing the Role of Mathematics in Interdisciplinary Research
CountryIndonesia
CityYogyakarta
Period18/08/1521/08/15

Keywords

  • moran I test
  • spatial autoregressive
  • spatial factor
  • spatial scan statistics

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    Samuel, P. A., Widyaningsih, Y., & Lestari, D. (2016). Analysis of variables affecting unemployment rate and detecting for cluster in West Java, Central Java, and East Java in 2012. In Y. Susanti, I. E. Wijayanti, F. A. Kusumo, & I. E. Aluicius (Eds.), Proceedings of the 7th SEAMS UGM International Conference on Mathematics and Its Applications 2015: Enhancing the Role of Mathematics in Interdisciplinary Research [080009] (AIP Conference Proceedings; Vol. 1707). American Institute of Physics Inc.. https://doi.org/10.1063/1.4940866