The data mining analysis to determine the priorities of families who receiving assistance
Cahyo Prianto, N S Harani · Journal of Physics Conference Series · 2019
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 society is not small, so the distribution must be done properly. The data mining is a method of extracting data to find the hidden patterns of the data. In this research, the data are processed by using K-Means and C4.5 algorithm. The aim of this research is to classify the society into three clusters based on economic conditions using the K-means algorithm, the three clusters are pre-prosperous families, pre-prosperous families 1 and pre-prosperous families 2. Moreover, the C4.5 algorithm is used to make a decision tree model in determining which priority family gets assistance.