PENENTUAN KLASIFIKASI STATUS GIZI ORANG DEWASA DENGAN ALGORITMA NAIVE BAYES CLASSIFICATION PADA PUSKESMAS JIKEN

YUDISTIRA, DHIMAS TANTRA (2014) PENENTUAN KLASIFIKASI STATUS GIZI ORANG DEWASA DENGAN ALGORITMA NAIVE BAYES CLASSIFICATION PADA PUSKESMAS JIKEN. Skripsi, Fakultas Ilmu Komputer.

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Abstract

Measurement of Anthopometry is a measurement used to determine the state of a person`s nutritional status. Now Measurement of Anthopometry to adulthood uses The Index Calcultion Grew ( IMT ). The IMT measurement using only two indicators height and weight, if there are three people who have a value of height and the same weight could be having different nutrional status categories, so that the capability of determining nutritional status of adults with calculation of the IMT is not optimal. Therefore necessary to simplifity the model employee clinics Jiken in determining classification of nutritional status of adults. Naive Bayes Classification method is a method of data mining can provide determination of classificationof nutritional status of adults and test the consistency. Naive Bayes Classification method is a method that utilizes the classification value of the probability of the data document the previous example. The criteria used in the determination of the classification of nutritional status of adults in clinics Jiken is height, weight, age, gender, wrist, circumference, abdominal circumference. The result of determination of the nutrional status of adults calculated the level of its accuracy. From the result of calculations for the determination it as much as 40 samples had 31 of the same data. So that the resulting accuracy of 87,91%. Naive Bayes method with application of classification can be used to assist employees in determining the classification of clinics Jiken nutritional status of adults.

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