Shared Nearest Neighbour in Text Mining for Classification Material in Online Learning Using Mobile Application

Shared Nearest Neighbour in Text Mining for Classification Material in Online Learning Using Mobile Application

text mining

classification

mobile application

There are many resources for media learning in online learning that all of the teachers made many media which it made a problem if there have the same subject and material. This problem made online learning having a big database and many materials made useless because the material has the same purpose. The big problem in overload database is that online learning can't be accessed by everyone. This research to fix this problem developed an algorithm in Artificial Intelligence for the classification of material in online learning with the same subject and purpose so that teachers can use already media. This algorithm is text mining and Shared Nearest Neighbour (SSN) that is embedded in the mobile application to display the classification and the location of searching media in database online learning. The testing in this research  applied in 142 media  with 130 data training and 12 data testing is  the result of testing is 94,7% of the accuracy of the algorithm  and The average of validation is 73,33%.

Wahyono, Irawan Dwi

Saryono, Djoko

Putranto , Hari

Asfani , Khoirudin

Rosyid , Harits Ar

Sunarti , Sunarti

Mohamad , Mohd Murtadha

Mohamad Said , Mohd Nihra Haruzuan Bin

Horng , Gwo Jiun

Shih , Jia-Shing

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 04 (2022); pp. 159-168

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2022-02-28

Copyright (c) 2022 Irawan, Prof., Hari, Khoirudin, Harits, Ms., Prof., Prof Nihra, Gwo, Jia-Shing Shih

https://creativecommons.org/licenses/by/4.0

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Non-refereed Article