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Hari Wijayanto
Fakultas MIPA, Institut Pertanian Bogor (IPB)

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ANALISIS REGRESI SPASIAL DAN POLA PENYEBARAN PADA KASUS DEMAM BERDARAH DENGUE (DBD) DI PROVINSI JAWA TENGAH Inna Firindra Fatati; Hari Wijayanto; Agus M. Sholeh
MEDIA STATISTIKA Vol 10, No 2 (2017): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.726 KB) | DOI: 10.14710/medstat.10.2.95-105

Abstract

Dengue Hemorrhagic Fever (DHF) is one of the diseases that threaten human health. The cases of dengue fever in the district / city certainly has different characteristics, geographic condition, the potential of the region, health facilities, as well as other matters that lie behind them. Based on local moran index values are visualized through thematic maps, some area adjacent quadrant tends to be in the same group. There are two significant quadrant in describing the pattern of spread of dengue cases namely quadrant high-high and lowlow. This indicates a spatial effect on the number of dengue cases, so that the spatial regression analysis. Based on the value of  and AIC, autoregressive spatial models (SAR) is good enough to be used in modeling the number of dengue cases in the province of Central Java. Factors that influence the number of dengue cases Central Java province in 2015 is the number of health centers per 1000 population, the number of polindes per 1000 population, population density (X3), percentage of people with access to drinking water sustainable decent (X6), the percentage of water quality net free of bacteria, fungi and chemicals (X7), and the number of facilities protected springs (X8).
PEMETAAN TINDAK KRIMINAL DI WILAYAH MADIUN DENGAN ANALISIS KORESPONDENSI BERGANDA Anindia Nufitasari; Hari Wijayanto; Itasia Dina Sulvianti
MEDIA STATISTIKA Vol 10, No 2 (2017): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.51 KB) | DOI: 10.14710/medstat.10.2.131-143

Abstract

Multiple correspondence analysis is one of the statistical methods that can be used to describe the characteristics of criminal acts. Information about charateristic of crime is necessary to reduce the number of criminal acts. The purpose of this study is to describe criminal acts in the City and District of Madiun. Data sourced from Madiun City Police Station and Madiun District Police recording during 2016. The result of the research shows that criminal acts of theft, mistreatment and fraud have similar events characteristic at public place and residential area of Madiun City and Sub Unit of Development Area 2 at 06.00-11.59. Gambling and rape also characterize similar events at the crime scene residential area Sub Unit of Development Area 3 at 18.00-23.59. Illegal logging has different characteristics than other criminal acts. Meanwhile, theft, torture, and rape have characteristics of ≤ 25 years old and education level ≥ Senior High School (SHS). But criminal acts of fraud, illegal logging, and gambling have different characteristics of the perpetrators.