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In the academic world, research will continue to grow over time. Hence, this will affect the number of Scientific Writing documents which keeps increasing. To avoid plagiarism, the application of various methods in the document comparison process has been applied to determine the similarity of a document with other documents. Jaro-Wrinkler Distance is a method to measure the similarity between two strings by calculating the distance between the strings. Doc2Vec is a method that aims to represent documents in vector form to be compared with machine learning processes. This study compares the results of plagiarism detection between the Jaro-Wrinkler Distance method and the Doc2Vec method. The best measurement comparison method used is the accuracy of the document comparison and its speed.