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Music is one of the most popular entertainments, and the music industry continues to increase over time. There are many types of genres in music, and everyone has their own choice of the type of music they want to listen to. The recommendation system is an important function in the application, especially when there are…

Normalized Metered Energy Consumption (NMEC) is a solution for investors in determining the best energy-saving strategy for buildings. But on the other hand, investors need a fast and reliable evaluation results in measuring how effective the savings methods they use without wasting money. To address this issue, we selected Facebook’s latest predictive time series method…

The need to update the news at this time is very important. Journalists have responsibilities as their job. Apart from conveying the correct news to the public, they must also deliver it quickly. Journalists who are tasked as news seekers must always be updated about the latest news that is viral, therefore a journalist must…

Project completion is a common and best practice for oil and gas and construction industry. It provides a comprehensive completion approach and gives total confidence to asset owner to operate the facility handed over by construction contractors. While the nature variation of asset hierarchy is unique from one type of asset to another, a project…

Transportation vendors are important for distribution companies to deliver goods or products. Operational problems of logistic process in transportation vendors’ activities are difficult to track and monitor directly in the field, such as driver’s position, the delivery, and so forth. These problems result in the difficulty to measure the performance of vendors’ activities. The aim…

In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one…

This paper is proposed to build a model by applying two methods, namely support vector machine and nonnegative matrix factorization in the process of predicting stock market movement using twitter and historical data. The stock exchange is based on the LQ 45 stock with period from August 2018 – January 2019. The features consist of…

STIE XYZ is one of the universities of economics that has not been optimal in the use of information technology. IT implementation is applied when there are urgent and sudden needs. So it is not planned carefully according to the development needs of this educational institution. Therefore many patchy applications are created. As the consequence,…

Music genre classification is an important multimedia research domain, including aspects of music piece representation, distances between genres, and categorization of music databases. The objective of this study was to develop a model for automatic classification of musical genres from audio data by using features from low-level time and frequency domains. These features can highlight…

Knowing how and types of talk shows discussed in social media is significant to all stakeholders in a talk show’s program. There are many messages that can be found in social media that need to be noticed so the messages from the user could reach the viewer. Social media provides promising as well as challenging…