E3S Web Conf.
Volume 202, 2020The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|Number of page(s)||16|
|Section||Decision Support System|
|Published online||10 November 2020|
Service Oriented Architecture (SOA) and Fuzzy AHP-SAW for Lecturer Performance Analysis in Real-time
1 Master of Information System, Post Graduated School, Diponegoro University, Semarang, Indonesia
2 Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia
3 Department of Mathematics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia
* Corresponding author: email@example.com
Service-Oriented Architecture (SOA) is a way to use web services to model large software systems. SOA architecture is also a successful model at the moment. SOA does not have a formula for analyzing data, so collaborative methods are needed that can present information that has added value. One of them is the Fuzzy AHP-SAW method to analyze the performance of lecturers at tertiary institutions with data sources applying SOA methods for data integration in academic information systems in real-time. Lecturer performance can be monitored in real time, so that it can be used as material for decision making at the Indramayu State Polytechnic appropriately. Message delivery services performed by the web service with 150 performance table records, 69 lecturer records tables, 6 record study programs and 3 record majors have been successful. fuzzy AHP fuzzy analysis method to find the best lecturers has been successfully carried out by producing fuzzy vector weights (w) performance performance criteria (C1) 0.43, research (C2) 0.29, dedication (C3) 0.11 and publication (C4) 0.17 with the number of lecturers (alternative) as many as 69. The results show an alternative code A063 with a C1 value of 0.38 C2 0.22 C3 0.08 C4 0.15 and a preference of 0.844 getting the first rank.
Key words: Fuzzy AHP / SAW / SOA / Web Service / Lecturer
© The Authors, published by EDP Sciences, 2020
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