Priority and Weighting of the University Information Technology Division Performance Measurement Indicators Using Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) Methods
Citra Wiguna(a), Wahyu Adi Prabowo(b), Ovel Canserifo F(a)

(a) Information System, Telkom Institute of Technology Purwokerto
(b) Informatics, Telkom Institute of Technology Purwokerto

Abstract

The Information Technology Department is a division that must exist in every university. This department is also known as the investment and service center. The philosophy of the IT department is used to improve customer satisfaction in terms of service. It is necessary to measure performance as an evaluation of university performance to improve quality and maintain standards in the IT department. Performance measurement is carried out to encourage universities to manage all their resources, systems, and employees so that work results are in line with the company^s vision, mission, and strategic goals. In preparing performance measurement indicators, a method is needed that acts as a decision making in terms of priority and weighting of each indicator accurately. Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) methods can find out which indicators will be used for performance measurement. In this study, the results show that the implementation of the AHP and ANP methods is based on Expert Judgment and Decision Tree to obtain indicators that are in line with the business processes of the IT department of the university. As a result, 21 indicators are weighted and rated for priority. Based on these indicators, the highest priority is the indicators of service quality satisfaction index obtained by the AHP with a value of 0.1137, while by the ANP method with a value of 0.11367. The indicator with the lowest priority value is IT Budget Realization with a value of 0.007931 using the ANP method and 0.0082 using the AHP method. This result shows that the implementation of the AHP and ANP methods has the same priority results. The comparison of the two methods results in a better choice of indicators and can be used as a consideration for decision-makers to determine more comprehensive performance measurement indicators.

Keywords: Department of IT, Performance measurement, Analytical Hierarchy Process (AHP), Analytical Network Process (ANP)

Topic: Engineering and Technology