Application of Obesity Determination Using the K-Nearest Neighbor (KNN) Method

Sumarto, P. and Paseru, Debby and Sumampouw, Michael Goerge (2019) Application of Obesity Determination Using the K-Nearest Neighbor (KNN) Method. In: International Conference On Operatons Research (ICOR), 19 - 20 September 2019, Manado.

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Abstract

Obesity is a common disease due to the amount of fat that accumulates over a long period of time which can interfere with health by unhealthy lifestyles. Various technologies and applications regarding obesity have been circulating a lot but usually todays applications only calculate height and weight even though many other factors can determine obesity. Based on the existing problems, an application for calculating the level of obesity will be built by considering any various factors causing obesity beyond weight and height. This application will use the K-Nearest Neighbor (KNN) algorithm to determine obesity because the KNN algorithm is tough to data that has noisy and a lot of training data. The calculation of the KNN algorithm in the application is based on the values of the sex, age, and values of the questionnaire. The methodology used in this journal is RAD (Rapid Application Development). The programming language used in application development is PHP (Hypertext Preprocessor) while the modeling tool used to describe system functionality is UML (Unified Modeling Language).Based on the tests conducted, it was concluded that the application can determine obesity using150 training data, the value of k = 3 and a single test data with the final results using the KNN method can solve the problem properly.

Keywords: Obesity, KNN, classification Introduction

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