The objective of this research was to discover the behavior of museum visitors on Facebook fan page in Indonesia based on the user motivation, user expectation, online community involvement, and Facebook fan page of the museum. This research used a quantitative approach to descriptive analysis. The population was the Facebook users who had followed the Facebook fan page of the museum in Indonesia. The samples used were 270 respondents. The researchers distributed the questionnaire to a Facebook group managed by museums or communities. Based on the demographic profile of respondent, the researchers discover that the respondents are highly educated, work as employees or student, and allocate more than Rp500.000,00 per month for traveling expense. Based on social media behavior of the respondents, the respondents are active using Facebook and not aware of the presence of museum in social media. The respondents require museum information, social interaction, and entertainment on Facebook fan page of the museum. Therefore, museum managers must maintain the content quality and perceived usefulness in delivering the information through Facebook. The involvement of cultural community can help people to get honest information about museum through credible opinion from the respondents.
Financial planning of individuals started a trend in Indonesia in recent years. This paper will attempt to design an individual financial planning. Object of this project include individual financial planning and financial management, investment planning, financial planning elements, prepare an emergency fund and retirement funds, education costs and achieve other financial goals. Of this paper is expected to increase the knowledge of individuals in managing finances and choosing the right media investments and achieve their financial goals.
Information technology is useful to automate business process involving considerable data transaction in the daily basis. Currently, companies have to tackle large data transaction which is difficult to be handled manually. It is very difficult for a person to manually extract useful information from a large data set despite of the fact that the information may be useful in decision-making process. This article studied and explored the implementation of business intelligence in banking, retail, and educational industries. The article begins with the exposition of business intelligence role in the industries; is followed by an illustration of business intelligence in the industries and finalized with the implication of business intelligence implementation.
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