Usability Analysis of TOPSIS based Mobile Recommender System of Malang Tourism

Malang City has a variety of interesting tourist objects to visit. Determining the desired place of visit requires access speed and accuracy of favorite places to visit. This can be obtained with a mobile application that utilizes the internet and GPS features of a smartphone. Therefore, the Mobile recommender system of Malang is needed, which recommends favorite place to go in Malang. The scope of this application is developed tourist destinations in Malang & Batu, beach around Malang, shopping destinations, places to buy souvenirs, traditional snacks, organic vegetables, traditional Malang cuisine, Korean cuisine, and cafe in Malang. All of these mobile recommender systems were developed under the same algorithm-based model management system by using the Technique of Order Preference for Similarity to Ideal Solution (TOPSIS). But the success rate of the TOPSIS method will not be seen without further testing (TOPSIS performance will be tested in the further research). To ensure the mobile recommender system of tourism is feasible to be used by end users in this study, it needs to test its usability with the System Usability Scale (SUS) instrument. Testing with SUS has been done in the systematic measurement using 10 statements of SUS. The test shows the score of SUS is 78.25 that means the mobile recommender system of Malang tourism is acceptable to be used by end users and classified into grade C with a good rating. Usability testing results can be improved by eliminating the TOPSIS's weight of the criteria so that it can be more user- friendly.