IJISTECH (International Journal Of Information System & Technology)
Vol 3, No 2 (2020): May

Implementation of Data Mining Algorithms for Grouping Poverty Lines by District/City in North Sumatra

Mhd Ali Hanafiah (Politeknik Bisnis Indonesia, Pematangsiantar, Indonesia)
Anjar Wanto (STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)

Article Info

Publish Date
30 May 2020


The poverty line is useful as an economic tool that can be used to measure the poor and consider socio-economic reforms, such as welfare programs and unemployment insurance to reduce poverty. Therefore, this study aims to classify poverty lines according to regencies/cities in North Sumatra Province, so that it is known which districts/cities have high or low poverty lines. The grouping algorithm used is K-Means data mining. By using this algorithm, the data will be grouped into several parts, where the process of implementing K-Means data mining uses Rapid Miner. The data used is the poverty line data by district/city (rupiah/capita/month) in the province of North Sumatra in 2017-2019. Data sourced from the North Sumatra Central Statistics Agency. The grouping is divided into 3 clusters: high category poverty line, medium category poverty line, and the low category poverty line. The results for the high category consisted of 5 districts/cities, the medium category consisted of 18 districts/cities and the medium category consisted of 10 districts/cities. This can provide input and information for the North Sumatra government to further maximize efforts to overcome the poverty line in the area.

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Journal Info





Computer Science & IT


IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The computer science is a branch of engineering ...