Penerapan Algoritma K-Nearest Neighbor pada Information Retrieval dalam Penentuan Topik Referensi Tugas Akhir
DOI:
https://doi.org/10.33633/jais.v1i2.1189Abstract
Perpustakan sebagai bagian penting universitas,  berperan sebagai sumber pustaka dan referensi laporan Tugas Akhir(TA). Semua koleksi tersebut ditempatkan dalam ruangan tertentu sesuai dengan kategorinya dan data tersebut sudah terkomputerisasi dengan baik di dalam server database. Permasalahan penelitian adalah pencarian dan pengidentifikasian laporan Tugas Akhir berdasarkan topik yang diangkat. Tujuan penelitian ini mendapatkan akurasi klasifikasi yang baik menggunakan algoritma K-Nearest Neighbor (KNN) dan menerapkannya kedalam sebuah program. Sehingga klasifikasi topik TA dapat menjadi solusi untuk menyelesaikan permasalahan tersebut. Kata kunci — Information Retrieval, K-Nearest Neighbor, Text Mining, KlasifikasiDownloads
Published
2016-06-30
Issue
Section
Articles
License
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).