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Journal : SinkrOn

APPLICATION OF SIMPLE ADDITIVE WEIGHTING METHOD FOR DETERMINATION OF TODDLER NUTRITION STATUS Badrul, Mohammad; Rusdiansyah, Rusdiansyah; Budihartanti, Cahyani
SinkrOn Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v4i1.10145

Abstract

The nutritional status of children under five is measured by age, weight and height. The weight and height variables are presented in the form of three anthropometric indicators namely weight by age, height by age, and weight by height. By using these indicators the Cipadu-Kreo health center sometimes determines the nutritional status of children under five years of age. Therefore the simple additive weighting (SAW) method is able to decide the nutritional status of toddlers by adding a toddler's body mass index variable, so as to produce the right and valid decision. Then from 20 samples of toddlers categorizing by age group. Obtained the nutritional status results there are 1 toddler get a SAW value of 0.44 with poor nutritional status, 3 toddlers with undernourished status, 8 toddlers with excess nutrition status and 8 toddlers with a balanced nutrition status with the highest SAW value with a value
MULTI-CRITERIA FOR SELECTION OF SMARTPHONE BRANDS PRODUCT USING AHP-TOPSIS METHOD Akmaludin, Akmaludin; Badrul, Mohammad
SinkrOn Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v3i2.10069

Abstract

Today's communication is very important to do, this can be done by using communication tools that are currently being used by everyone, none other than SmartPhone, so people are competing to get it. Many found difficulties in choosing a SmartPhone Brand Product that suits the wishes of each user from a number of alternatives such as Advance, Xiaomi, OPPO, SAMSUNG, and VIVO, because many criteria must be considered such as memory capacity, battery durability, sharpness of capture camera, the form of design producy, the number of features produced from the product, which is equally important is the overall performance of the product. This difficulty is a general matter discussed by each user, because it requires the best solution that can be used to solve the problem. One method that can be used to select the right SmartPhone is the Analytic Hierarchy Process (AHP) method combined with the TOPSIS method. In this case AHP is used to determine the preference quantity in weighting and TOPSIS is used for mathematical detailed calculations of a number of criteria specified in ranking from a number of alternatives. The results obtained based on the mathematical calculation process are the first rank brand products with the highest weight of 0.597 from SAMSUNG, followed by a weight of 0.586 from OPPO, then weighing 0.555 from Advance, then weighing 0.511 from VIVO, and the smallest weight 0.491 from Xiaomi.
DIABETES MELLITUS DIAGNOSIS EXPERT SYSTEM WITH WEB-BASED FORWARD CHAINING Rusdiansyah, Rusdiansyah; Setiawan, Santoso; Badrul, Mohammad
SinkrOn Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v3i2.10055

Abstract

Diabetes Mellitus Diagnosis Expert System with Web-Based Forward Chaining Method. An expert system is one branch of artificial intelligence technology that combines the knowledge of an expert with tracing data to solve problems that are normally carried out by an expert. The development of information technology now makes it possible to access information from anywhere and anytime. So the role of information technology is increasingly useful to be able to develop in various fields including in the health sector. One of them is the system used to diagnose diabetes mellitus. Diabetes Mellitus is one of the most common diseases in the world. The inability of the pancreas to produce insulin normally becomes one of the reasons a person has this disease. In this research, the method used is Forward Chaining which sorts all data obtained before getting the final conclusion. The final results obtained from this study is an expert system application for diagnosing diabetes with a forward chaining method, where the user answers questions based on perceived symptoms, then the results obtained in the form of disease and explanation of the disease.