Question Answering System Dan Penerapannya Pada Lingkup Akademik

., Wahyu (2017) Question Answering System Dan Penerapannya Pada Lingkup Akademik. Other thesis, Universitas Katolik Musi Charitas.

[img] Text
IF-2017-1313015-cover.pdf

Download (163kB)
[img] Text
IF-2017-1313015-abstract.pdf

Download (149kB)
[img] Text
IF-2017-1313015-tableofcontent.pdf

Download (175kB)
[img] Text
IF-2017-1313015-chapter1.pdf

Download (303kB)
[img] Text
IF-2017-1313015-chapter2.pdf
Restricted to Repository staff only

Download (590kB) | Request a copy
[img] Text
IF-2017-1313015-chapter3.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img] Text
IF-2017-1313015-chapter4.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img] Text
IF-2017-1313015-conclusion.pdf

Download (155kB)
[img] Text
IF-2017-1313015-reference.pdf

Download (374kB)
[img] Text
IF-2017-1313015-attchment.pdf
Restricted to Repository staff only

Download (4MB) | Request a copy
[img] Text
IF-2017-1313015-complete.pdf
Restricted to Repository staff only

Download (8MB) | Request a copy
[img] Text
IF-2017-1313015-summary_id.pdf
Restricted to Repository staff only

Download (891kB) | Request a copy

Abstract

The world of technology and science at this time is growing rapidly, resulting in many changes that occur in human life. One of them is the development of technology. Increasingly the development of technology resulting in information stored on the internet increasingly widespread, which resulted in the presence of search engines (search engines) is very useful at all to get the information you want sought. Unfortunately, not all information can be searched in the search engine, such as specific information, that specific information can be academic scope information. To solve the problem it will be made an application Natural language processing Question answering system is a system that allows computers to understand the intentions of questions posed by users by using natural language and respond to existing questions. This application is created using PHP programming language, and MySQL database. The preprocessing techniques used are tokenization, part-of-speech tagging, and named entity recogination. The results obtained after testing to see how the percentage of the system will answer questions that will be submitted by the user is 67.68%.

Item Type: Thesis (Other)
Additional Information: Skripsi Lengkap dapat dibaca di Ruang Referensi Perpustakaan UKMC Kampus Bangau.
Uncontrolled Keywords: akademic, Natural language processing, Question answering system, website, PHP, MySQL.
Subjects: T Technology > T Technology (General)
Divisions: Theses - S1 > Informatics Study Program
Depositing User: Perpustakaan Unika Musi Charitas
Date Deposited: 09 Aug 2018 01:30
Last Modified: 10 Aug 2018 02:24
URI: http://eprints.ukmc.ac.id/id/eprint/1428

Actions (login required)

View Item View Item