Scan Statistic Hotspot Detection and ORDIT Ordering Based on Health Multivariable Data in Depok
Choirul Basir, Yekti Widyaningsih · 2017
Health factors and circumstances of residents in an area play an important role in determining the quality ofa particular area, which is related to the environmental factors and population. This paper focuses on the quality of themeasured area for several factors using Scan Statistic hotspot detection and ORDIT (Ordering Dually In Triangles)methods. Scan Statistics is used to detect the hotspot area of an interest; and ORDIT is a method to rank areas basedon several variables. The factors (or variables) that be used in these study are the number of infant with low birthweight, malnourished children under five, underfive mortality, maternal deaths, births without the help of healthpersonnel, infants without handling the baby's health, and babies without basic immunization in every public healthcenter area in Depok. The observation unit is public health center area. The results of this study show that the hotspottends to be in the eastern part of Depok City, while ORDIT ranking yield that the most severe area is in Sukatanihealth center. The results of this study are able to provide the meaningful suggestion for The Local Government aboutthe ranking of severity in the area based on several factors. So that the local governments can adopt policies toimprove the areas that assumed as the most severe.Keyword: ORDIT, SaTScan, Scan Statistic, Hotspot Detection.