TY  - THES
N1  - Pembimbing: Muhammad Didik Rohmad Wahyudi, S.T., MT
ID  - digilib40413
UR  - https://digilib.uin-suka.ac.id/id/eprint/40413/
A1  - LANA RAHIM, NIM.: 15650002
Y1  - 2019/05/06/
N2  - The Al-Qur?an Index is a navigation tool that is used to explore the breadth
and diversity of themes in the Qur?an. The Al-Qur?an Index is used as a reference to
get the verses contained in the Qur?an. But in the process of searching for referrals
it is still done manually so that the search process takes a long time.
Building an intelligent system that can classify and search for arguments
from a document in accordance with the Al-Qur?an index is expected to help people,
both Muslims and non-Muslims, to understand and understand the verses in the
Qur?an. With the method of cosine similarity and Naive Bayes can be used to do
classifiers and look for relevant verses according to the Qur?an.
This research was conducted with the preprocessing stage for Islamic articles, weighting with TF-IDF, and calculations with Cosine Similarity. The results
of the tests carried out using confusion matrix were obtained: 38% accuracy, 9%
precission, and 8% recall.
PB  - UIN Sunan Kalijaga
KW  - Cosine Similirity
KW  - Naive Bayes
KW  - Qur?an
KW  -  Islamic Articles
M1  - skripsi
TI  - Implementasi Cosine Similarity Dan NaĻIve Bayes Classifier Untuk Mencari Dalil Pada Artikel Islami Berdasarkan Indeks Al-Qur?An
AV  - restricted
EP  - 98
ER  -