PENERAPAN ALGORITMA STEMMING NAZIEF & ADRIANI DAN SIMILARITY PADA PENERIMAAN JUDUL THESIS

Hafiz Ridha Pramudita

Intisari / Abstract


Search information in the form of a document or a text known as Information Retrieval (IR) is a separation process documents that are relevant from a set of documents available. The increasing number of thesis documents are available allowing the similarity theme or topic of discussion was appointed as the thesis title. Stemming is a process that converts all the words in a text document into "rootword" or principal said. Rootwords are stored as an index. Each index which stored to be used as a comparison to the new document. By using the concept of Similarity, the index comparisons of old documents with new index documents can be obtained degree of similarity to certify the appropriateness of the thesis title.


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Referensi


Agusta, Ledy, Perbandingan Algoritma Stemming Porter dengan Algoritma Nazief & Adriani untuk Stemming Dokumen Teks Bahasa Indonesia, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Fadillah Z. Tala, A Study of Stemming Effect on Information Retrieval in Bahasa Indonesia, Netherland, Universiteit van Amsterdam

B. Zaka, "Theory and Applications of Similarity Detection Techniques, : Fraz University of Technology. 2009 B. Zaka, "Theory and Applications of Similarity Detection Techniques, : Fraz University of Technology. 2009

Alsamadi, Izzat. Saleh, Zakaria Issa, Documents Similarities Algorithms for Research Papers Authenticity. IT Faculty, Yarmouk University. Jordan.

Nazief, Bobby dan Mirna Adriani, Confix-Stripping: Approach to Stemming Algorithm for Bahasa Indonesia, Fakulty of Computer Science University of Indonesia.


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