CCTV is a sophisticated tool for monitoring and surveillance. It was chosen because of the low price and ease of use. CCTV creates issues in monitoring because officers must always supervise every CCTV monitor to look for abnormal conditions. This research proposes the implementation of smart CCTV for surveillance in Bandung Station. It applied deep learning algorithm to create smart CCTV for sensing and understanding station environment such as passengers’ flow, crowded area, prohibited location and others. Big data technologies are also carried out to solve the complexity of data. The objective of this research is to improve the quality of services in Bandung Station and make the station safer, more secure and more convenient.
This study uses Systematic Literature Review (SLR) to understand about research trends, methods, and data used in decision-making with GPS data. After reviewing 27 chosen journals and proceedings, this study concludes that there are several methods used to decide with GPS data such as decision tree, random forest, neural network, and support vector machine (SVM). Health, environment, Transportation, and agriculture are several fields of business that used GPS data to make a decision. The data analyzed consist of position, time, speed, track, and distance. Based on SLR result, we propose a method to validate the data collection process of a survey using three methods (SVM, decision tree and random forest) will be used to analyze the position, time, track and personal data of the surveyor.
The lack of coordination in the integration of information systems between government agencies that issue identity numbers causes replication and redundancy of population information data. Another problem is the emergence of citizens' concerns over data integrity and security due to national identification records is also used by the private sector. In this paper, one of the solutions offered to overcome the above problem is to build an integrated national identification database system between government agencies by applying the concept of Single Identity Number (SIN) using blockchain technology. Blockchain is a secure and robust system for keeping a record of the identities of all citizens and also able to facilitate data integration between institutions. This paper uses the strengths of blockchain to possess characteristics of immutability that it is possible to store national identification records.
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