Melola Discovery

← Melola Discovery

Jurnal SINTA 1

Smart Dissemination by Using Natural Language Processing Technology

Journal of Information Systems Engineering and Business Intelligence · Vol. 6 No. 2 (2020) · pp. 133–142

DOI
10.20473/jisebi.6.2.133-142
ISSN
2443-2555, 2598-6333
Published
2020-10-27
Publisher
Universitas Airlangga
Language
eng

Abstract

Background: Recently, WhatsApp has become the world's most popular text and voice messaging application with 1.5 billion users. A lot of WhatsApp Application Programming Interface (API) has also been established to be connected to other applications. On the other hand, the development of natural language processing (NLP) for WhatsApp messages has snowballed. There are extensive studies on the dissemination information using WhatsApp but the study on NLP involving data from WhatsApp is lacking.Objective: This study aims to implement NLP in smart dissemination applications by using WhatsApp API.Methods: We build a framework that embeds an intelligent system based on the NLP in WhatsApp API to disseminate a dynamic message. Some of the sentences are used to evaluate the accuracy of this application.Results: Smart dissemination consists of dynamic filter and dynamic content. Dynamic filter was conducted by using the POS tagger and clause statement. Meanwhile, dynamic content was built by using the replace MySQL function. There are twofold limitation: the application could not transform a message that matches rule with conjunction "dan”; has the same attribute before and after tag; and the maximum of the logical operator is one type for coordinating conjunction (AND/OR) in one sentence.Conclusion: Our framework can be used for dynamic dissemination of messages using dynamic message content and dynamic message recipient with an accuracy of 95% from twenty sample messages.

Collaboration network of the authors

15 authors · 34 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Telkom University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Siska Komala SariTelkom University1
KastamanTelkom University1
Heru Pudyo NugrohoTelkom University1
Ibnu AsrorTelkom University1
Yanuar Firdaus Arie WibowoTelkom University1
Ledya NovamizantiTelkom University1
Anggunmeka Luhur PrasastiAffiliation unknown1
RochmawatiAffiliation unknown1
Ashri DinimaharawatiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JISEBI/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (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">Smart Dissemination by Using Natural Language Processing Technology</dc:title>
	<dc:creator>Fahrudin, Tora</dc:creator>
	<dc:creator>Kastaman, Kastaman</dc:creator>
	<dc:creator>Meideni, Sherin Nadya</dc:creator>
	<dc:creator>Priyono, Padma Edhitya Chairunnisafa</dc:creator>
	<dc:creator>Fathirkina, Muhammad Galang</dc:creator>
	<dc:creator>Samira, Samira</dc:creator>
	<dc:description xml:lang="en-US">Background: Recently, WhatsApp has become the world's most popular text and voice messaging application with 1.5 billion users. A lot of WhatsApp Application Programming Interface (API) has also been established to be connected to other applications. On the other hand, the development of natural language processing (NLP) for WhatsApp messages has snowballed. There are extensive studies on the dissemination information using WhatsApp but the study on NLP involving data from WhatsApp is lacking.Objective: This study aims to implement NLP in smart dissemination applications by using WhatsApp API.Methods: We build a framework that embeds an intelligent system based on the NLP in WhatsApp API to disseminate a dynamic message. Some of the sentences are used to evaluate the accuracy of this application.Results: Smart dissemination consists of dynamic filter and dynamic content. Dynamic filter was conducted by using the POS tagger and clause statement. Meanwhile, dynamic content was built by using the replace MySQL function. There are twofold limitation: the application could not transform a message that matches rule &amp;lt;3&amp;gt; with conjunction "dan”; has the same attribute before and after &amp;lt;CC&amp;gt; tag; and the maximum of the logical operator is one type for coordinating conjunction (AND/OR) in one sentence.Conclusion: Our framework can be used for dynamic dissemination of messages using dynamic message content and dynamic message recipient with an accuracy of 95% from twenty sample messages.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2020-10-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JISEBI/article/view/19650</dc:identifier>
	<dc:identifier>10.20473/jisebi.6.2.133-142</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Information Systems Engineering and Business Intelligence; Vol. 6 No. 2 (2020): October; 133-142</dc:source>
	<dc:source>2443-2555</dc:source>
	<dc:source>2598-6333</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/19650/12444</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 The Authors. Published by Universitas Airlangga.</dc:rights>
</oai_dc:dc>