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Arisankita is a business program owned by CV Dwi Idea Kreasi to assist the community in obtaining goods according to their needs and managed cooperatively. The management of the Arisankita system still relies on traditional accounting and is not yet computerized, especially during accessing and storing information. The purpose of this study is to discuss a web-based system for Arisankita's business program by applying the RUP method, to improve the accuracy of data processing at the company, to optimize automatic scheduling, and to increase efficiency, effectiveness and productivity. The RUP (Integrated Rational Process) Method is a system development process that covers the entire development cycle of a device that provides help to assist and be responsible for organizational development, which consists of 4 phases, including initial, elaboration, construction, and transition.

Named Entity Recognition (NER) or Named Entity Recognition and Classification (NERC) is one of the main components of an information extraction task that aims to detect and categorize named entities in a text. NER is generally used to detect people's names, place names, and organization of a document, but can also be extended to identify genes, proteins, and others as needed. NER is useful in many NLP (Natural Language Processing) applications such as question-answering, summaries, and dialog systems because it can reduce ambiguity. NER also deals with other information extraction tasks such as relation detection, event detection, and temporal analysis. To avoid this need to train data source. The data train can be taken from various sources of news/articles crawled on the internet. The news will then be annotated by users with various labels. The news/article sources are in the thousands, while to make this training by using file is manual. And sometimes there is an error because this manual was made when it will form the NER model as needed. This research will be made so that training files can be assisted by using applications so that the error rate can be smaller or there will be no errors.

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