THE DATA MINING ANALYSIS TO DETERMINE THE PRIORITIES OF FAMILIES WHO RECEIVING ASSISTANCE
Cahyo Prianto,Nisa Hanum Harani

Department of Informatics Engineering Politeknik Pos

Abstract

Government has made efforts to improve the level of social life as an object of national development either by providing direct cash assistance or a program to create jobs. Fund distributed to the community is not small. In order to realize its effectiveness, the distribution of fund will have to meet the community needs in the right target.
The data mining is a method of extracting data to find the hidden patterns of the data. The data are processed by using K-Means and C4.5 algorithm. The algorithm is used to quarry, cluster and classify the data on the community economy; so the results of this study, as expected, are data on families being included into pre-prosperous family, prosperous family 1, and prosperous family 2 categories, thereby making the data on the priorities of families who receiving assistance available. Of the three categories, the pre-prosperous families are necessary to receive attention, as they have not been able to meet the minimum basic needs such as food, clothing, shelter, health, and worship. It is related to the background of several variables such as age, education, occupation, and the number of dependents.

Keywords: Assistance, K-Means, C4.5, Pre-Prosperous Family

Topic: Computer Science