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The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.

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The application is e-government services social media based. It is designed for citizens to be able to report problems that occur around South Tangerang City. The research was conducted to find out the factors that affect the intention of SIARAN's users. The research model in this research was Theory of Planned Behavior which was combined by several variables of several acceptance models. The methods which were used to collect the data were literature review and questionnaire. The findings of the research were going to be developed and proceeded by using SEM-PLS (Structural Equation Model-Partial Least Square). The results of this research indicated that Information Design, Architecture, Security, Esthetical Design, give significant positive effects towards attitude. Whereas, Perceived Usefulness and Perceived Ease of Use did not give significant effects towards Attitude. Facilitating Condition and Participation Efficacy gave significant positive effect towards perceived behavior control. Perceived Behavioral Control and Attitude gave significant positive effect towards intention.