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Utilizing data for segmentation analysis can bring a streamlined way to get potential insight as of decision making support in a business organization. Using appropriate data analytical technique help the organizations in profiling their customer segments accurately. The result brings an effective marketing strategy. However, there are times in doing data analytic, the organization needs another variable...
Big data is a new phenomenon that force organization to find new way to process, to save, and to analyze data in various forms. Big data challenge is getting bigger and faster but also the opportunities of harvesting information from it. Organization prefers using big data's technology for many advantages, mainly because it is cheaper, effective, efficient and faster than previous system. In some...
Understanding market segmentation is a crucial aspect for business organizations to survive in high competitive environment. Traditional approach relies on sampling methodologies to gather demographic and other specific properties of market segment is considered expensive. The need of real-time decision making force us to adopt the new approach, which is taking advantage of social media data. In this...
Big data has been widely spread throughout social media in this digital era. Indeed, it is a good chance for business to get the information in real time. Since the data from social media is unstructured, thus we need to process it beforehand. Machine learning needs proper training data that makes the classification model perform accurately. In order to actualize it, we need a qualified domain knowledge...
Artificial Neural Network (ANN) method is increasingly popular to build predictive model that generated small error prediction. To have a good model, ANN needs large dataset as an input. ANN backpropagation is a gradient decrease method to minimize the output error squared. Stock price movements are suitable with ANN requirement: it is a large data set because stock price is recorded up to every seconds,...
The rapid growth of social media and user-generated contents (UGC) has provided a rich source of potentially relevant data. The problems arise on how to summarize those data to understand and transforming it into information. Twitter as one of the most popular social networking and micro-blogging service can be analyzed in terms of content produced with sentiment analysis. On the other hand, some...
Market tight competition put pressure the companies to employ a new and faster way to support their marketing intelligence effort. The need of marketing intelligence includes gathering and analyzing data for confident decision making about market and its competition. Today, the abundant large scale data from online social network services has made possible to extract valuable information such as user...
Public election viewed as one of the biggest event for democracy as it will start a new phase of government in hundreds of regions across Indonesia. Such a major event will attract a big attention and require careful decision making, thus a real time information for decision support become crucial part. Twitter can serve the purpose as one source of real time information from user generated content,...
The high competitiveness of the Indonesia Fast Food market has forced the industry to find the new way to understand market behavior. The new challenge should include faster data collection and analytical process, preferably time delivery needed close to real-time. The common practice of gathering market data using questionnaires and interviews are considered expensive and time-consuming process compared...
The current practices of collecting information about market insight in music industry are through the sampling data collection using surveys, questionnaires and interviews. With the availibility of large-scale online conversation data, we can get faster; cheaper and more accurate data represent the actual phenomena of the market. The aim of this paper is to propose a new approach for helping the...
Facebook fan page is used by many organizations to manage its stakeholder. Telkom University manages its Facebook fan page officially to disseminate its activities to its stakeholders. By using Social Network Analysis tools, this fan page's performance can be interpreted by using social network metrics; hence key role user or activity can be identified. This paper shows the topology and centrality...
Big data phenomenon arises from the increasing number of data collected from various sources, including the internet. Big data is not only about the size or volume. Big data posses specific characteristics (volume, variety, velocity, and value − 4V) that make it difficult to manage from security point of view. The evolution of data to become big data rises another important issues about data security...
The advance of social computing study is grown very fast to the extents that influence many aspects of our daily life. One of those aspects is implementation in marketing / advertising. We are always looking for the effective way to understand our market, but the absent of powerful metrics has cause some problem. The availibility of Big Data all around us has triggered a new perspective on how we...
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