Myedusolve personality clustering analysis using k-means machine learning algorithm

Abstract

Personality is a characteristic of a person in carrying out and responding to something and adapting to their environment. This personality difference can affect everyone in running a program or something that is being done. MyEdusolve is a technology company engaged in education, with a vision to realize the transformation of the Indonesian workforce through digital literacy, has been followed by more than 40,000 participants with several selected programs. The suitability of personality with the program being followed is an important factor in the success of participants to take part in the program held. This research is focused on analyzing and creating personality clustering on programs held by MyEduSolve. Clustering is done using the K-Means machine learning algorithm. Through this analysis, it is hoped that companies can carry out activities or increase branding programs according to personality types and the results of analysis on data so that participants are helped to achieve and prepare careers according to the programs held by the company.