• Fana Wiza Indonesia School of Economics (STIESIA), Surabaya, Indonesia
  • Lilis Ardini Indonesia School of Economics (STIESIA), Surabaya, Indonesia


This study aims to determine the relationship pattern of Work Engagement and Work Life Balance on the performance of female lecturers. And in the context of science and technology, this study aims to develop the field of data mining studies regarding the ability of association rule mining techniques to the field of human resource management. This analysis uses independent variables, namely work engagement and work life balance. The dependent variable is the lecturer performance index. Respondents in this study were female lecturers who taught at Lancang Kuning University. This study uses the Association Rule Mining technique. Association rule mining is one of the techniques in data mining. Association rule mining has received great attention because of its use in a variety of research applications. The data used in data mining is in the form of historical data. The data was collected by means of a questionnaire. The results of this study can trigger the subject to create problem solving in performance management.


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How to Cite

Wiza, F. ., & Lilis Ardini, L. A. (2022). ASSOCIATION RULE MINING IN ANALYSIS OF THE RELATIONSHIP BETWEEN WORK ENGAGEMENT AND WORK LIFE BALANCE ON THE PERFORMANCE OF FEMALE LECTURERS. International Conference of Business and Social Sciences, 2(1), 994–1003. Retrieved from