REPRESENTASI DATA HASIL ANALISA SPASIAL DAERAH RAWAN PENYAKIT CAMPAK MENGGUNAKAN METODE WEIGHT PRODUCT MODEL

Anik Vega  Vitianingsih; Achmad  Choiron; Azizul  Umam; Dwi  Cahyono; Suyanto

doi:10.55732/jrt.v6i1.139

Authors

Anik Vega Vitianingsih Universitas Dr. Soetomo, Surabaya
Achmad Choiron Universitas Dr. Soetomo, Surabaya
Azizul Umam Teknik Informatika
Dwi Cahyono Universitas Dr. Soetomo, Surabaya
Suyanto Universitas Dr. Soetomo, Surabaya

DOI:

https://doi.org/10.55732/jrt.v6i1.139

Keywords:

Measles, Coverage of Immunization Status, Spatial Analysis, Spatial Data Modeling, MADM, WPM

Abstract

Measles is a part of many diseases that occur in the tropics as happened in East Java. Measles disease data recorded in the Health Profile Book contains information on tabular data on the number of measles cases, the fatality rate of measles cases, and data that contain infant measles immunization. The purpose of the discussion of this paper is to represent spatial and attribute data resulting from spatial data processing in the spatial analysis process by Weight Product Model (WPM) methods and in the Multiple Attribute Decision Making (MADM). Data representation to determine areas prone to tropical diseases based on infant immunization status, nutritional status, epidemics, and PD3I. The results of the spatial data modeling will be represented into spatial data and attribute data obtained from the preferential value of V_i with the category of classification of tropical disease-prone areas with good, average, fair, and poor immunization status.