Comparison of Gap Weighting Methods in a Combination of Profile Matching and Topsis in Decision Support System for Healthy Food Menu

Abstract

Maintaining health is an important matter for human's life. There are so many people who do not really concern about their health, moreover they also have a bad dietary habit. A healthy dietary habit itself requires healthy and nutritious foods to be consumed regularly in the form of food menus. This research is conducted to make a decision support system to give users a recommendation of the proper menus to fulfil their daily consumption needs by combining methods of Profile Matching and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). The focus of this research is on the comparison of two methods used in gap weighting on Profile Matching. In the first method, gap weighting is done by converting the gap using weighting table. This method is commonly used by researchers. Meanwhile, in the second one, which is more rarely used, gap weighting is done by using a gap weighting formula. The result shows that the later method is able to solve the problem founded on the first one when the density of the data is dense and very dense.