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Yuliansyah, Herman
Universitas Ahmad Dahlan Yogyakarta
Computer Science & IT Electrical & Electronics Engineering

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Determining The Nutrition of Patient Based on Food Packaging Product Using Fuzzy C Means Algorithm Winiarti, Sri; Kusumadewi, Sri; Muhimmah, Izzati; Yuliansyah, Herman
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1124.97 KB) | DOI: 10.11591/eecsi.v4.982

Abstract

The main idea in this research is the utilization of Fuzzy C Means (FCM) method as the determination of patient's nutritional status, which is implemented, in mobile application. Parameters used to cluster nutritional status are height, weight and age. The result of the decision will give 3 clusters on nutritional status is good nutrition, malnutrition and better nutrition. Mobile apps are used as a reminder of the nutritional value or ingredients contained in the packaging of food products while consuming food. The result of system testing for application of FCM algorithm in this mobile application obtained validation of 80%.
Development and Evaluation of Android Based Notification System to Determine Patient's Medicine for Pharmaceutical Clinic Riadi, Imam; Winiarti, Sri; Yuliansyah, Herman
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.944 KB) | DOI: 10.11591/eecsi.v4.1039

Abstract

The development of science in the field of health clinical pharmacy grows rapidly in recent years. Based on the data from information was obtained that needs to  be  done a reparation a learning process in clinical pharmacy to produce them who as requested by users pharmaceutical graduates. According to the results of the information there is a problem that in  conducting the  process  of  determining the  pharmacys drug it can be made a mistake, especially in patients who have complications disease. The process of checking conducted repeatedly to make sure a medicine that is concocted in accordance with a list of the acts of treat a patient, while patient data not yet integrated into a system that could help them in analysis and determine a drug that in accordance. Notification system that developed using android platform this, the hope can become the tools in the form of a system that can give notification to the farmasis easily accessible at any time through gadgets. Based on the results of testing with the methods alpha test can be concluded the number of feasibility this system reached 88.75%. Thus  notification  system  in  the  determination  of   medicine patients rule based as a medium learn students pharmaceutical clinic worthy to used.
Co-Authors Imam Riadi Izzati Muhimmah Sri Kusumadewi Sri Winiarti