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Abstract.Utilization of information technology in the field of public transportation has been proven in improving the quality of public transportation services. The availability of information technology that supports public transportation in Malang city is still limited. An effort is required to encourage the availability of information technology that support public transportation in Malang city. This research attempts to propose a draft proposal of REST API designed for supporting information about public transportation services in Malang city. The result of this research showed that the REST API should provide a search facility to find proper service mode of transportation, cost estimation, time estimation, calling or booking a public transportation, a list of all the modes of transportation that exist, as well as detailed information on a mode of transport in which includes the name of public transportation, index of comfortability, index of security, index of safety, index of privacy, index of availability, index of accessibility index, and route.Keywords: Transportation, Public Transportation, API, REST, Service-Oriented Architecture, Web Service.

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an algorithm that can be used for alternative design in a decision support system (DSS). TOPSIS provides recommendation so that users can get information that support their decision, for example a tourist wants to visit a tourist destination in Malang, then TOPSIS provides recommendations of tourist destinations in the form of ranking recommendation, with the highest rank is the most recommended recommendation. TOPSIS-based Mobile Decision Support System (DSS) has relatively low algorithm complexity. However, there are some cases that require development from personal DSS to group DSS, for example tourists rarely come alone, in which case most of them invite friends or family. For users who are more than 1 person, the TOPSIS algorithm can be combined with the BORDA algorithm. This study explains about the implementation & testing of TOPSIS and TOPSIS-BORDA as algorithms for personal and group DSS in mobile-based tourism recommendation system in Malang. Correlation testing was conducted to test the effectiveness of TOPSIS in mobile-based recommendation system. In previous study, correlation testing for personal DSS showed that there was a relationship between the recommendation and user choice, with correlation value of 0.770769231. In this study, correlation testing for group DSS showed there is a positive correlation of 0.88 between the recommendations of the group produced by TOPSIS-BORDA and personal recommendations for each user produced by TOPSIS.

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The number of passengers of local public transport (mikrolet) in Malang city has been receding. One of the contributing factors is the limited information about the route of mikrolet. This study aims to create a prototype that can produce information about routes of mikrolet, travel planning (places to take a mikrolet and places to take off the mikrolet), map representation of travel planning, and travel plans alternatives. To calculate travel plan and all its alternatives, a modified depth-first search algorithm is used. This study uses depth-first search algorithm because it is considered simpler and can be modified to meet the requirements. Based on test results, the prototype successfully provides all the information needed. From performance perspective, when the number of routes and plans increased, the overall system performance degrades, so in the future the proposed prototype and its algorithm may needs further optimization.