Fuzzy Approach To The Health Application Quality Evaluation Process
Inda D Lestantri1, Yahya Ahyasi2, Elan Suherlan3

1Inda D Lestantri, Information Technology Engineering, Yarsi University, Indonesia.
2Yahya Ahyasi, Information Technology Engineering, Yarsi University, Indonesia.
3Elan Suherlan, Information Technology Engineering, Yarsi University, Indonesia.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 2603-2607 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7395068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Software quality measurement aims as an effort to improve software performance. Software quality will affect the use of software. Many factors influence the quality of software, and some of these factors have a more subjective assessment. Subjective assessment of users is also influenced by the user’s personal experience of something or when using software. This study aims to discuss the measurement of software quality related to user expectations or perceptions. This research is important because every user has hope in a software. The expectations of users that are fulfilled will affect subjective judgments. This study discusses the measurement of software quality from 5 variables, which are taken from the characteristics of Product Quality including truth, reliability, efficiency, integrity, usability. From each of these variables, users have their own expectations for software. The software tested is intended for the Health Office and Public Health Center, to monitor the health of pregnant women. The Mc Call method is used as a standard to measure software quality. The results obtained are Fuzzy models can be used to measure software quality. In this study also produced a level of fuzzy values in software measurement, they are very low, low, sufficient, high and very high. Before measuring software quality, software must pass functional testing.
Keywords: MMR, Mc Call, E-Health, Graph.

Scope of the Article: Healthcare Informatics