The Use of SIMPEG-Based Data Mining Techniques in Measuring Employee Performance in Islamic Higher Education
Akib(a*), Edy Karno(b), Erdiyanti(c), Syahrul(d), Badarwan(e), Murniati(f)
a) IAIN Kendari
*akiblandebawo24[at]gmail.com
b) Universitas Halu Oleo
c) IAIN Kendari
d) IAIN Kendari
e) IAIN Kendari
f) Universitas Halu Oleo
Abstract
This article intends to provide an overview of: 1) employee performance patterns based on Employee Information System (SIMPEG) data; 2) important characteristics of employee performance based on Employee Information System (SIMPEG) data; 3) employee performance classification based on Employee Information System (SIMPEG) data. The study was conducted using a qualitative approach, where data collection is done through a process of observation, study of documents, and interviews. The results of the research show that: 1) employee performance at IAIN Kendari tends to be stagnant, which is reflected in the daily performance report (LKH); 2) important characteristics of the performance of Kendari IAIN employees are to focus on routine, based on tasks and functions; 2) the performance of Kendari IAIN employees is divided into high, medium and low categories.
Keywords: Data Mining; Information Systems; Performance Measurement
Topic: Computers, Internet, Multimedia in Engineering Education