APLIKASI PENCARIAN OBAT OTOMATIS SEPUTAR OBAT – OBATAN PENYAKIT BALITA MENGGUNAKAN COSINE SIMILARITY BERBASIS WEB RESPONSIVE
Main Author: | Siswoko, Devi Lisa |
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Format: | Thesis NonPeerReviewed Book |
Bahasa: | eng |
Terbitan: |
, 2018
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Subjects: | |
Online Access: |
http://eprints.umm.ac.id/40042/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/40042/2/Bab%20I.pdf http://eprints.umm.ac.id/40042/3/Bab%20II.pdf http://eprints.umm.ac.id/40042/4/Bab%20III.pdf http://eprints.umm.ac.id/40042/5/Bab%20IV.pdf http://eprints.umm.ac.id/40042/6/Bab%20V.pdf http://eprints.umm.ac.id/40042/7/lampiran.pdf http://eprints.umm.ac.id/40042/ |
Daftar Isi:
- For IR method used is Cosine similarity. Cosine similarity is a method that can compare the similarity of a data, in this system cosine similarity compare the similarity between the questions in inputkan with data that drugs are stored in the database sehinggan can display the results of answers relevant to the question, the purpose of this final task dalah to build a data-processing system around responsive web-based disease response to toddlers and to build applications using Cosine Similarity to search for infant drug answers based on questions. The highest search result weight is the best search result for each keyword that is inputted into the search system based on the result of similarity calculation using cosine similarity method and in testing 10 questions on the system, 8 answers are yielded is correct, the rest is wrong so it concluded the accuracy of giving answer by the system of 80%.