No image available for this title

Text

Question Answering using Ontology for Sumedang Larang History with Support Vector Machine Based on Telegram Bot



Technological developments affect many aspects, one of which is historical education. History lessons can shape students' personalities and encourage an interest in historical knowledge. There are many stories from Indonesian history, one of which is the Sumedang Larang Kingdom. The Sumedang Larang Kingdom is one of the Islamic kingdoms in Pasundan. However, not many people know about this kingdom. The millennial generation is technologically advanced, so they can take advantage of technological advances to quickly introduce the history of Sumedang Larang. One of them utilizes the telegram bot using the Application Programming Interface (API), which can connect the system to the telegram platform. In addition, this technology can be used as a history learning attraction using the question answering system (QA). Our research aims to build a QA system that can introduce the history of Sumedang Larang to the millennial generation. Because this system uses ontology knowledge with concepts related to the Sumedang Larang domain, it can focus on the history of Sumedang Larang. Applying the support vector machine (SVM) algorithm to process classification text can make it easier to search for text categories. The test results show the performance of the SVM method with a test size parameter of 0.5, such as 74% and 78%. The performance test results are accuracy scores in the subject category and object classification.


Availability

No copy data


Detail Information

Series Title
-
Call Number
-
Publisher JURNAL MEDIA INFORMATIKA BUDIDARMA : Indonesia.,
Collation
006
Language
English
ISBN/ISSN
2614-5278
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Specific Detail Info
-
Statement of Responsibility

Other Information

Accreditation
-

Other version/related

No other version available


File Attachment



Information


Web Online Public Access Catalog - Use the search options to find documents quickly