E-Archive Document Clustering Information System Using K-Means Algorithm

Abstract

Archiving is an important activity in a company, because the archive is a form of decision making as physical evidence owned by the company. Records management system in a company or organization must be managed properly. Currently, the archive management system is still manual which has the risk of documents being easily damaged and lost either due to natural disasters or unwanted accidents. Therefore, it is necessary to manage archives that can use a computerized system to facilitate users and avoid data loss with various factors. The research method uses the K-Means Clustering algorithm to facilitate the process of grouping archives, and the prototype is the method that will be used for software development. The function of this application is to simplify the process of archiving and searching for archived data. Management carried out by the system includes archive storage, archive destruction, and archive file reports.

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