Transaction data is a set of recording data result in connections with sales-purchase activities at a particular company. In these recent years, transaction data have been prevalently used as research objects in means of discovering new information. One of the possible attempts is to design an application that can be used to analyze the existing transaction data. That application has the quality of market basket analysis. In addition, the application is designed to be desktop-based whose components are able to process as well as re-log the existing transaction data. The used method in designing this application is by way of following the existing steps on data mining technique. The trial result showed that the development and the implementation of market basket analysis application through association rule method using apriori algorithm could work well. With the means of confidence value of 46.69% and support value of 1.78%, and the amount of the generated rule was 30 rules.

The proliferation of the internet led to the emergence of new technology. Nowadays, many activities can be done online, such a payment. After Mobile Banking was introduced publicly, a new method for payment called mobile wallet that uses mobile application as a device appears. The ease caused by this technology should be the main reason for implementing this system on to daily basis. Nevertheless, in various countries, the usage rate of the cashless system remains uneven, caused by many factors, both from internal factors such as security risks and external factors such as the policies of the countries involved. This paper will evaluate worldwide online payment systems to determine the impact of online payment systems usage, both positive and negative. This paper will evaluate the factors that affect the introduction of m-payment. Several measurements, such as country with the highest and lowest cashless payment usage and the reasons were taken for this research so that the objectives to improve the system and increase the usage rate can be achieved.

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The government agencies require accurate tourism demand forecasts to plan the required tourism infrastructure, such as accommodation location planning and transportation development. Tourism demand forecasts can be viewed from various factors, one of which is the number of tourists per period. Without ignoring the number of domestic tourists, the increasing number of foreign tourists is prioritized by the government to increase the country's foreign exchange. Usually, a tourist destination is to visit some tour objects and need some accommodation and hotel sites to rest. With this consideration, the forecasting number of foreign tourists can be done by using data on the number of tour objects, accommodation and hotel sites, foreign and domestic tourists from the previous period. Data on the number of domestic tourists used to measure the tendency of foreign tourists compared with domestic tourists to all existing tour objects. All data history can be viewed as time series data. Conventionally, many researchers have employed traditional methods of time series analysis, modeling, and forecasting such as ARX (Autoregressive with exogenous input) model. FIS (Fuzzy Inference System) is a system that processes the input mapping formulation provided to produce output using Fuzzy Logic. The aim of this study is to forecast the number of foreign tourists by using FIS through a training process conducted by adapting the number of linguistic variables. All the training data are modeled by using the ARX model.

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Internet development in Indonesia is not always results in positive effect to the Indonesian people, especially to the learners. By the effect comes from internet application, then, Ministry of Communication and Information Technology conducts blocking activity to the sites suspected to change people’s mind. Based on Database of Trust Positive, between 2014-2017, type of pornography content has the first place than other contents. The increase of access towards pornography content in Indonesia supported by the availability of reachable internet access. One of contents provides pornography content said that in 2017, the largest user accesses their platform comes from mobile device. It is supported by the price of internet package for mobile device in Indonesia is one of the cheapest than other Southeast Asia countries. Therefore, the government, since 2002 till present, continually conducts blocking activity towards negative sites together with ISP in Indonesia. The ISP (Internet Service Provider) must obey the government by conducting blocking activity towards negative sites through DNS Nawala or other filtering program. The aim of this paper is to analyze pornography access through many types of provider and the differences from each provider in conducting sensor towards sites with pornography content.

Abstract-Development of learning system in the network with the involvement of Massive Open Online Program (MOOCs) at the State University of Malang, is a priority scale. The open system is the fastest step in developing student's ability to innovate. The study provides an analytical note 1) who the students of Malang State University are and how they have the integrity of an innovator after using the technology, 2) the online learning ecology blended at State University Malang. The first stage of the analysis of MOOCs was done by making a survey of three student forces with six research classes. The second phase of ecology learning development was done through the website. The result was the development of MOOCs accelerated the emergence of contributor ideas so that the learners were facilitated to develop their ability to innovate.