Skripsi

SISTEM TANYA JAWAB UNTUK PERTANYAAN APA MENGGUNAKAN METODE PENDEKATAN JARAK

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Penilaian

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Question Answering System (QAS) is a system designed to generate information quickly in the form of natural language. The information produced by this system consists of short text snippets as answers to user questions. In this research on Question Answering System (QAS), users can obtain answers related to non-factoid information questions. The generated information is close domain, sourced from a segment of biology learning information obtained from the best documents. The information retrieval process involves preprocessing to obtain keywords and important words, calculating TF-IDF, and using three distance-approach algorithms: Manhattan Distance, Euclidean Distance, and Cosine Similarity to retrieve the best documents and answers. In the testing phase, 110 question-answer pairs and 61 documents containing answers were used. The best accuracy was achieved by the Manhattan Distance algorithm, with 0.9% in test 1, where only the definition answers were considered. The best accuracy for Euclidean Distance was 36.36%, and for Cosine Similarity, it was 37.27% in test 4, where both the definition answers and keywordswith a 40% threshold were considered, obtaining a reasonably good result. This research demonstrates the capability to perform question-answering for non-factoid questions, and it highlights how the preprocessing process, the type of distance-approach algorithms used, and the testing methods can affect the accuracy of the system. Keywords: QAS, Manhattan Distance, Euclidean Distance, Cosine Similarity.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307005100	T125407	T1254072023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1254072023

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xv, 65 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Jurusan Teknik Informatika
Sistem analisis

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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