Islamic Banking Third-party Funds Grouping uses the Data Mining Clustering

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Islamic banking as an intermediary institution (intermediary) between people with excess funds and people who lack funds has a very important influence on the Indonesian economy. In this study, the third-party funds discussed were third-party funds of Islamic banking. The purpose of this study is to analyze the grouping of Islamic banking third-party funds on Indonesia's economic growth over the past 11 years, from 2009 to 2019 using the K-means algorithm. The data of this study uses time-series data from Islamic banking statistics, namely data on third-party funds for Islamic banking financing sourced from the official website of the Financial Services Authority. The findings of this analysis are in the context of a clustering of Islamic banking third-party funds containing 2 clusters: low (C1) and high (C2). The results obtained are there are 7 data with low clusters and 4 data with high clusters. The results of calculations carried out manually and testing using Rapid Miner, produce the same data grouping.

Original languageEnglish
Article number012095
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 28 May 2021
Event2nd Workshop on Engineering, Education, Applied Sciences and Technology, WEAST 2020 - Makassar, Indonesia
Duration: 5 Oct 2020 → …


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