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Identification Of Chatbot Usage In Online Store Services Using Natural Language Processing Methods

Advance Sustainable Science, Engineering and Technology (ASSET) · Vol. 6 No. 2 (2024)

DOI
10.26877/asset.v6i2.18309
ISSN
2715-4211, 2715-4211
Terbit
2024-03-09
Penerbit
Universitas PGRI Semarang
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Chatbot is one of the implementations of artificial intelligence in helping human tasks. The way the chatbot itself works is to answer questions directly according to the database that has been created. Chatbot helps online store owners answer questions from the same customers so that there is efficiency in terms of employee salaries. 40 questions that are often asked by customers to the online store admin. In its use, chatbot is one of the implementations of machine learning, where the function of machine learning itself is to improve the ability of machines to learn new information from data and develop the ability of machines to solve problems. Machine learning requires instruction from training data or input to teach machines how to solve problems, answer questions, and draw conclusions from the results of data processing. Furthermore, it is processed using Natural Language Processing (NLP). Natural Language Processing (NLP) is a branch of artificial intelligence that is able to study communication between humans and computers through natural language. The processing stages are identifying the intent, processing the input and displaying the results according to the input. Followed by testing the accuracy level. Then conduct testing using 40 question and answer data. Then obtained 36 answers that are appropriate and 4 answers that are not appropriate with the percentage of accuracy of the answers generated from the chatbot is 90 percent. The results of this test can answer the questions asked by customers. This chatbot can make it easier for customers to get information with a very good level of accuracy.

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  • Universitas Halu Oleo
  • Institut Teknologi dan Bisnis Nobel Indonesia
  • Universitas Pamulang
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Sahabuddin HayUniversitas Halu Oleo4
Tambi TambiAfiliasi tidak diketahui2
Rudi WijayaAfiliasi tidak diketahui1
Jovi Jus DicaprioAfiliasi tidak diketahui1
Baharudin BaharudinAfiliasi tidak diketahui1
Samuel JieUniversitas Halu Oleo1
Yuni Aryani KoedoesAfiliasi tidak diketahui1
Samuel JieAfiliasi tidak diketahui1
Sarjun SarjunAfiliasi tidak diketahui1
Rahman RahmanUniversitas Halu Oleo1
Adurahim AdurahimAfiliasi tidak diketahui1
Al Ichlas ImranAfiliasi tidak diketahui1
Muhammad HasbiAfiliasi tidak diketahui1
Muh. YusufUniversitas Halu Oleo1
Makmur KambolongUniversitas Halu Oleo1
Waode ZulkaidahUniversitas Halu Oleo1
Siti Nawal JayaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://journal.upgris.ac.id/index.php/asset/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Identification Of Chatbot Usage In Online Store Services Using Natural Language Processing Methods</dc:title>
	<dc:creator>Daud, Anshar</dc:creator>
	<dc:creator>Irwanto, Dola</dc:creator>
	<dc:creator>Said, Muh</dc:creator>
	<dc:creator>Mubyl, Mutiarini</dc:creator>
	<dc:creator>Mustamin, Mustamin</dc:creator>
	<dc:subject xml:lang="en-US">Islamic parenting; community empowerment; PKK mothers; parenting skills; family education</dc:subject>
	<dc:description xml:lang="en-US">Chatbot is one of the implementations of artificial intelligence in helping human tasks. The way the chatbot itself works is to answer questions directly according to the database that has been created. Chatbot helps online store owners answer questions from the same customers so that there is efficiency in terms of employee salaries. 40 questions that are often asked by customers to the online store admin. In its use, chatbot is one of the implementations of machine learning, where the function of machine learning itself is to improve the ability of machines to learn new information from data and develop the ability of machines to solve problems. Machine learning requires instruction from training data or input to teach machines how to solve problems, answer questions, and draw conclusions from the results of data processing. Furthermore, it is processed using Natural Language Processing (NLP). Natural Language Processing (NLP) is a branch of artificial intelligence that is able to study communication between humans and computers through natural language. The processing stages are identifying the intent, processing the input and displaying the results according to the input. Followed by testing the accuracy level. Then conduct testing using 40 question and answer data. Then obtained 36 answers that are appropriate and 4 answers that are not appropriate with the percentage of accuracy of the answers generated from the chatbot is 90 percent. The results of this test can answer the questions asked by customers. This chatbot can make it easier for customers to get information with a very good level of accuracy.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas PGRI Semarang</dc:publisher>
	<dc:contributor xml:lang="en-US">Institut Teknologi dan Bisnis Nobel Indonesia</dc:contributor>
	<dc:date>2024-03-09</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.upgris.ac.id/index.php/asset/article/view/v6i2.18309</dc:identifier>
	<dc:identifier>10.26877/asset.v6i2.18309</dc:identifier>
	<dc:source xml:lang="en-US">Advance Sustainable Science, Engineering and Technology; Vol 6, No 2 (2024): February - April; 0240206</dc:source>
	<dc:source>2715-4211</dc:source>
	<dc:source>2715-4211</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.upgris.ac.id/index.php/asset/article/view/v6i2.18309/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Advance Sustainable Science, Engineering and Technology</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>