SISTEM PEREKOMENDASI DOSEN PEMBIMBING BERDASARKAN RELEVANSI TOPIK TUGAS AKHIR MENGGUNAKAN METODE OKAPI BM25
| Main Author: | Agustina, Meilina |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/51376/8/PENDAHULUAN.pdf http://eprints.umm.ac.id/51376/3/BAB%20I.pdf http://eprints.umm.ac.id/51376/4/BAB%20II.pdf http://eprints.umm.ac.id/51376/5/BAB%20III.pdf http://eprints.umm.ac.id/51376/6/BAB%20IV.pdf http://eprints.umm.ac.id/51376/7/BAB%20V.pdf http://eprints.umm.ac.id/51376/11/POSTER.pdf http://eprints.umm.ac.id/51376/ |
Daftar Isi:
- The recommendation system is a software to provide recommendations to users about the products they can use. The administrative problem in the office of the Primary School Teacher Education department at the University of Muhammadiyah Malang is one of the problems faced by the Administration staff and part timers. The use of manual systems that are still running at this time is considered to be less effective against time, place, and energy, so that assistance in the form of information systems is needed. In designing this information system will use the Okapi BM25 method where this method is a ranking function used by search engines for matching document rankings according to their relevance to search queries, namely in the form of final assignment topics. BM25 has functions that are in accordance with the 3 principles of good weighting, which has an inverse document frequency (idf), term frequency (tf), and has a document length normalization function.