Creative industries and tourism is one sector that is easiest to improve the condition of the economy of a region. This study discusses the information distribution service usage model of mobile application technology using Location Based Service (LBS) and Global Positioning System (GPS) in the development of creative industries through integration with products of tourist destinations. By using the technology of location based services and global positioning system that will be developed and implemented on the application of geographic information systems and web-based mobile android, then the those creative industries would be material and guidance in utilizing information technology as a means to promote the business of creative industries it has to be more effective and efficient

Abstract—Traveling is a fun activity. Everyone has a different preference for the type of tour they like. Some like nature tourism, culinary tours, religious tourism, and other tourism. Problems encountered by tourists when planning tourism activities, usually do not know complete information related to tourist destinations that will be visited, and can not make weather forecasts from the destination tourist destination. This research aims to provide a model travel recommendation that is implemented into the Android mobile application so that tourists can be given recommendations on which tourism destinations are most suitable based on the criteria that are the assessment criteria, namely the price of tourist accommodation, weather and rating of tourist attractions. Mobile technology used is using GPS sensors, Google Maps API, Open WeatherMap API, and Facebook API. Based on the results of testing, the application in this research can help in recommending tourist attractions that meet the criteria desired by tourists.

Marketing of products from the creative industry needs to be done by the business actors by looking at several aspects, including the selection of locations or places to market their products. This research was conducted to provide a model that can be used by business actors in determining the most appropriate location to market their products. The model has been implemented using Analytical Hierarchy Process method and has been tested to several business actors. Tools used to perform the analysis process Expert Choice. The recommended location weight difference occurs because each business actor, and the type of industry have different perceptions in the interest rating. The result obtained in this research is a model created can be used to assist business actors in determining which location is most appropriate to market products of creative industries.

The aim of this paper is to find out how effective e-commerce to promote and selling the product of MSME. The method chosen to conduct this research is by using DeLone and McLean’s Information Success Model combined with Structural Equation Method (SEM) to find pertaining variable. Data are derived from data transaction with machine learning by conducting converting rule. The result of this research is (1) the correlation of net benefit with other dimension in DeLone and McLean model (2) the dominant variables that increasing the profit of SME (Small and Medium Enterprise).

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