APLIKASI DETEKSI KEMIRIPAN TUGAS PAPER
DOI:
https://doi.org/10.30812/matrik.v15i2.39Keywords:
Detection, Information Retrieval, Similarity, Vector Space ModelAbstract
Information searching based on users’ query, which is hopefully able to fnd the documents based on users’ need, is known as Information Retrieval. This research uses Vector Space Model method in determining the similarity percentage of each student’s assignment. This research uses PHP programming and MySQL database. The fnding is represented by ranking the similarity of document with query, with mean average precision value of 0,874. It shows how accurate the application with the examination done by the experts, which is gained from the evaluation with 5 queries that is compared to 25 samples of documents. If the number of counted assignments has higher similarity, thus the process of similarity counting needs more time, it depends on the assignment’s number which is submitted.
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References
[1] F. Amin, “Implementasi Search Engine (Mesin Pencari) Menggunakan Metode Vector Space Modelâ€, hal. 45-58, Januari 2011.
[2] Sahrun Alim Tri Bawono, Information Retrieval Meningkatkan Pencarian Data yang Relevan, Yogyakarta: Universitas Gadjah Mada, 2014.
[3] Dinz. Information Retrieval (Methods, Recall and Precision, Web-Crawler), 2008. [Online]. Available : http://catatan-dinz.net/riset-pengembangan/information-retrieval-methods-recall-and-precision-web-crawler/. [Accessed : Jul. 17, 2015].
[4] Irwan Pahendra Anton Saputra, Penggunaan Algoritma Tfdf Dalam Proses Hierarchical Template Maching : Konferensi Nasional Sistem dan Informatika, November 2011..
[5] Michael J. Shaw, E BUSINNESS MANAJEMENT. New York: Kluwer Academic Publishers, 2002.
[2] Sahrun Alim Tri Bawono, Information Retrieval Meningkatkan Pencarian Data yang Relevan, Yogyakarta: Universitas Gadjah Mada, 2014.
[3] Dinz. Information Retrieval (Methods, Recall and Precision, Web-Crawler), 2008. [Online]. Available : http://catatan-dinz.net/riset-pengembangan/information-retrieval-methods-recall-and-precision-web-crawler/. [Accessed : Jul. 17, 2015].
[4] Irwan Pahendra Anton Saputra, Penggunaan Algoritma Tfdf Dalam Proses Hierarchical Template Maching : Konferensi Nasional Sistem dan Informatika, November 2011..
[5] Michael J. Shaw, E BUSINNESS MANAJEMENT. New York: Kluwer Academic Publishers, 2002.
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Published
2016-05-24
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Articles
How to Cite
[1]
A. Anggrawan and A. Azhari, “APLIKASI DETEKSI KEMIRIPAN TUGAS PAPER”, MATRIK, vol. 15, no. 2, pp. 5–10, May 2016, doi: 10.30812/matrik.v15i2.39.
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