Open AccessImplementation of the simple additive weighting method in determining policy recommendations for higher education study programs based on alumni perceptions
Author(s) -
H. W. W. Iswara,
Handaru Jati
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1456/1/012024
Subject(s) - maintainability , weighting , usability , computer science , accreditation , quality (philosophy) , product (mathematics) , readability , reliability (semiconductor) , scale (ratio) , simple (philosophy) , similarity (geometry) , feature (linguistics) , software , information retrieval , data mining , software engineering , artificial intelligence , human–computer interaction , mathematics , medical education , medicine , philosophy , power (physics) , physics , geometry , linguistics , epistemology , quantum mechanics , image (mathematics) , radiology , programming language
This study aims to develop a quality web-based Alumni Information System and make a reference for higher education study programs in the form of policy recommendation features with the Simple Additive Weighting method in the Information System. The feature is made so that the policies taken can be in accordance with the priority scale of their main problems. The result of this research and development is a product in the form of a quality web-based Alumni Information System and features policy recommendations for study programs.. This is proven by fulfilling the eligibility assessment criteria of the software version of the ISO 25010 model, which includes 5 aspects, namely functional suitability, reliability, performance efficiency, maintainability, and usability in this system. The policy recommendation features produced also have a high degree of accuracy, because the results bear a 96% similarity with the actual accreditation score.