Abstract
Mobile based culinary recommendation system has become critical topic in mobile application. Some methods presented in the literature propose the use of the AHP (Analytic Hierarchy Process), AHP TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and fuzzy AHP for mobile based culinary recommendation system. However, there are no comparative studies of these three methods when applied to mobile based culinary recommendation system. Thus, this research presents a comparative analysis of these three methods in the context of culinary recommendation system in mobile environment. The comparison was made based on accuracy and time complexity because mobile application environment needs low time complexity. The results have shown that all of these methods are suitable for culinary recommendation system in mobile environment. Fuzzy AHP have the highest accuracy between all of these methods, it have 66,67 % accuracy. But, AHP TOPSIS shows the best performance in time complexity, with order of growth in quadratic class (n2)
Highlights
When visiting foreign place, difficulty in choosing where to eat can be solved by asking suggestions for tourism guides
The results have shown that accuracy with Analytic Hierarchy Process (AHP) for culinary recommendation system is 30%
The AHP and fuzzy AHP order of growth is higher than AHP TOPSIS, it can concluded that AHP TOPSIS has the lowest time complexity from all methods compared
Summary
When visiting foreign place, difficulty in choosing where to eat can be solved by asking suggestions for tourism guides. Some methods presented in the literature propose the use of the AHP (Analytic Hierarchy Process) [1], AHP TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution)[2, 3] and fuzzy AHP [4] for mobile based culinary recommendation system. With fuzzy as alternative of attribute weighting, the value of accuracy increase until 66, 67% Another method for culinary recommendation system is AHP TOPSIS. In this research we use AHP TOPSIS for culinary recommendation system in Malang, as has been done in [3], and analyze the accuracy and time complexity. The Analytic Hierarchy Process (AHP) is a general theory of measurement, which is used to derive ratio scales from both discrete and continuous pairwise comparisons [1] It is the form of decision-making method as well. The best approach to determine the rank of criterion in a pairwise comparison, is using the calculation of Eigen Vector from the matrix represents a local priority scale to obtain the orderof priority or importance of criterions and alternatives [9]
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