K-Nearest Neighbor and Naive Bayes Classifier Algorithm in Determining The Classification of Healthy Card Indonesia Giving to The Poor

Yofi Firdan Safri,Riza Arifudin,Much Aziz Muslim

doi:10.15294/sji.v5i1.12057

Yofi Firdan Safri, Riza Arifudin + Show 1 more

Open Access

https://doi.org/10.15294/sji.v5i1.12057

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Abstract

Health is a human right and one of the elements of welfare that must be realized in the form of giving various health efforts to all the people of Indonesia. Poverty in Indonesia has become a national problem and even the government seeks efforts to alleviate poverty. For example, poor families have relatively low levels of livelihood and health. One of the new policies of the Sakti Government Card Program issued by the government includes three cards, namely Indonesia Smart Card (KIP), Healthy Indonesia Card (KIS) and Prosperous Family Card (KKS). In this study to determine the feasibility of a healthy Indonesian card (KIS) required a method of optimal accuracy. The data used in this study is KIS data which amounts to 200 data records with 15 determinants of feasibility in 2017 taken at the Social Service of Pekalongan Regency. The data were processed using the K-Nearest Neighbor algorithm and the combination of K-Nearest Neighbor-Naive Bayes Classifier algorithm. This can be seen from the accuracy of determining the feasibility of K-Nearest Neighbor algorithm of 64%, while the combination of K-Nearest Neighbor-Naive Bayes Classifier algorithm is 96%, so the combination of K-Nearest Neighbor-Naive Bayes Classifier algorithm is the optimal algorithm in determining the feasibility of healthy Indonesian card recipients with an increase of 32% accuracy. This study shows that the accuracy of the results of determining feasibility using a combination of K-Nearest Neighbor-Naive Bayes Classifier algorithms is better than the K-Nearest Neighbor algorithm.

Highlights

Indonesia is one of the most populous countries in Asia
The unemployment rate has a positive effect on poverty in Indonesia
Government spending on poverty alleviation has no effect on poverty in Indonesia

Summary

Introduction

Indonesia is one of the most populous countries in Asia. The unemployment rate has a positive effect on poverty in Indonesia. Government spending on poverty alleviation has no effect on poverty in Indonesia. Government policy should encourage economic growth, where high economic growth can increase national income and will directly increase per capita income of every resident [1]. Poor families have a relatively low level of livelihood and health compared to people whose lives are sufficient [4]. There are various factors that cause poor households, among others, the termination of employment from the office or company for those who were previously employed to become unemployed and have no income, low education and no skills so difficult to find work, the change of poor criteria from the Central Bureau of Statistics (BPS) [5]. Poverty is multidimensional because the human needs are diverse, seen from the aspect of primary and secondary aspects [6]

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