Scan Statistic Hotspot Detection and ORDIT Ordering Based on Health Multivariable Data in Depok

Choirul Basir, Yekti Widyaningsih

Research output: Contribution to conferencePaper

Abstract

Health factors and circumstances of residents in an area play an important role in determining the quality of a 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 health personnel, infants without handling the baby's health, and babies without basic immunization in every public health center 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 Sukatani health center. The results of this study are able to provide the meaningful suggestion for The Local Government about the ranking of severity in the area based on several factors. So that the local governments can adopt policies to improve the areas that assumed as the most severe.
Original languageEnglish
Publication statusPublished - 2017
EventThe 2nd International Conference On Applied Statistics (ICAS 2016) - ID, Bandung, Indonesia
Duration: 1 Jan 2017 → …

Conference

ConferenceThe 2nd International Conference On Applied Statistics (ICAS 2016)
CountryIndonesia
CityBandung
Period1/01/17 → …

Keywords

  • ORDIT, SaTScan, Scan Statistic, Hotspot Detection.

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