TY  - THES
N1  - Muhammad Didik Rohmad Wahyudi, S.T., MT
ID  - digilib47033
UR  - https://digilib.uin-suka.ac.id/id/eprint/47033/
A1  - MUHAMAD HANIF ZEIN, NIM. 17106050038
Y1  - 2021/07/22/
N2  - In general, news delivered in news portals consists of several categories
such as political news, sports, economics, health, and others. However, in dividing
the news into these categories, for now it is still done manually. Automation is
needed to support this, in this case it is necessary to have an algorithm that is able
to classify news themes automatically. In Data Mining, one of the two classification
methods, namely KNN and its development, namely FKNN as an alternative, is
expected to find the best solution.
The classification is carried out with data from the web crawling of the
kompas.com news site taken from 3 categories as a sample of 105 news items each.
then do preprocessing text and weighting the TF IDF so that it is in the form of a
term weigh data set. After that, the classification of the KNN and FKNN algorithms
was carried out by searching for the value of k and comparing the best training and
testing data. And the last test is with K-Fold Cross Validation to determine the
results of the comparison of the performance of the two algorithms.
Based on the research that has been done, it can be concluded that the
highest accuracy performance value of the classification method using the KNearest
Neighbor algorithm is the value of k = 4 with a comparison of training and
testing data that is 9:1. The development of KNN with Fuzzy KNN did not provide
a significant increase in accuracy because it could only provide 1% accuracy with
a value of k and the highest comparison of training and testing data from KNN.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - news teks
KW  -  classification
KW  -  KNN
KW  -  Fuzzy KNN
KW  -  TF IDF
KW  -  K-Fold Cross
Validation.
M1  - skripsi
TI  - ANALISIS PERBANDINGAN METODE KLASIFIKASI TEMA
PADA TEKS BERITA MENGGUNAKAN ALGORITMA KNEAREST
NEIGHBOR DENGAN FUZZY K-NEAREST
NEIGHBOR
AV  - restricted
EP  - 53
ER  -