Student Service Performance Analysis by Using Path Analysis Model
Nia Kurniati1, Farniwati Fattah2, Mardiyyah Hasnawi3

1Nia Kurniati, Department of Computer Science, Universitas Muslim Indonesia, Makassar, Indonesia.
2Farniwati Fattah, Department of Computer Science, Universitas Muslim Indonesia, Makassar, Indonesia.
3Mardiyyah Hasnawi, Department of Computer Science, Universitas Muslim Indonesia, Makassar, Indonesia.
Manuscript received on 16 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2580-2582 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13080982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1308.0982S1119
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Abstract: Academic services are probably the most important aspect to achieve excellence in a university. Every university applies strategies to improve their service quality for example an integrated academic information system that has been run by Universitas Muslim Indonesia (UMI). Due to the students as the object of services, it is important to evaluate their level of satisfaction regarding to the academic service performance that they have experienced. This research aimed to analyze the students’ satisfaction on a WEB based academic information system in UMI using path analysis. The research phases started from determining hypothesis, collecting questionnaire data, identifying variables, analyzing data using path analysis, and analyzing model. The variables tested were students’ registration, course schedule, course grades and assistantships. In this research, a model was created to measure the level of users’ satisfaction by information system based services. The results of this research is the level of satisfaction in student registration services that higher than the course schedule, course grades, and academic assistantships and a gain of confidence to the student that is equal to 17%. Academic information system (SIMAK) on academic service system of UMI can be analyzed by using path analysis and obtained student satisfaction result 69%.
Keywords: Academic Information System; Path Analysis; Service Quality.
Scope of the Article: Predictive Analysis