Classification system of indonesian language thesis documents in computer science department using K-means algorithm

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Abstract

Thesis is a scientific paper created by the student as a final requirement on his final academic education to earn a bachelor's degree. Students of the Computer Science Department at Pakuan University are faced with the difficulty of finding the previous thesis references to determine the desired thesis theme because the clustering of the thesis documents is set based on the writing year only and not based on the theme classifications which includes Software Engineering, Hardware Programming, Artificial Intelligence, and Network Computer. A computer based system will be developed where the data in the Thesis document will be processed through text pre-processing which aims to convert unstructured document data into structured so that it can be read by the system, then grouped using K-Means Algorithm.

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CITATION STYLE

APA

Situmorang, B. H., Alkausar, R. R., & Harsani, P. (2019). Classification system of indonesian language thesis documents in computer science department using K-means algorithm. International Journal of Recent Technology and Engineering, 8(2 Special Issue 7), 138–141. https://doi.org/10.35940/ijrte.B1033.0782S719

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