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Development of an Academic Chatbot Based on Natural Language Processing for Student Information Services at Universitas Bina Darma

Recursive Journal of Informatics · Vol. 4 No. 2 (2026) · hlm. 113–126

DOI
10.15294/rji.v4i2.62866
ISSN
2986-6588, 2963-5551
Terbit
2026-09-30
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Purpose: Repetitive academic inquiries and substantial linguistic variation in informal Indonesian student messages can reduce the consistency and timeliness of university information services. This study develops and evaluates an academic chatbot for student information services at Universitas Bina Darma through WhatsApp. Methods/Study design/approach: An applied engineering-research approach was employed. An exploratory questionnaire involving 100 active students was used to identify dominant information needs and representative query expressions, while verified institutional documents were used separately to construct controlled service responses. The implemented architecture integrates Baileys as the WhatsApp messaging gateway, Node.js/Express as the orchestration layer, Dialog flow ES for intent and entity recognition, and MySQL for conversation logging and monitoring. The final agent contains 129 custom intents, 22 entities, and 2,572 training-phrase entries. An operational confidence threshold of 0.70 was applied to route uncertain inputs to fallback handling. Evaluation was conducted at four layers: 13 black-box functional scenarios, 24 intent cases representing major service families and out-of-scope input, 15 response-conformity cases, and six end-to-end integration scenarios. Result/Findings: All black-box scenarios produced the expected outputs. Intent agreement reached 95.83%, response conformity reached 86.67%, and all integration scenarios were successful. The difference between intent agreement and response conformity indicates that correct intent recognition does not necessarily guarantee an equally specific or institutionally appropriate answer when response coverage is incomplete. Novelty/Originality/Value: The contribution of this study is therefore positioned as applied system engineering rather than a new NLP algorithm. It demonstrates a deployable, confidence-controlled architecture that separates informal-query recognition from verified institutional delivery and evaluates recognition, answer conformity, and technical integration as distinct quality dimensions. Broader intent coverage, human-user evaluation, threshold calibration, load testing, and dynamic integration with institutional information systems remain necessary for wider deployment.

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  • Universitas Halu Oleo
  • Universitas Islam Negeri Ar-Raniry
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  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Dedi Fazriansyah PutraAfiliasi tidak diketahui2
Harun HarunUniversitas Halu Oleo2
Wan Siti Adibah Wan DahalanAfiliasi tidak diketahui2
Muhammad ArsyadUniversitas Halu Oleo1
Wardiman WardimanAfiliasi tidak diketahui1
La Ode Muhammad ElwanUniversitas Halu Oleo1
Muhamad Samsul AlamAfiliasi tidak diketahui1
Norimune KawaiAfiliasi tidak diketahui1
Muhammad Khairul RijalAfiliasi tidak diketahui1
Muhammad Azwar ParammaAfiliasi tidak diketahui1
Syamsu RijalAfiliasi tidak diketahui1
Nur Fadhillah MuhlisAfiliasi tidak diketahui1
Andi Badli RompegadingAfiliasi tidak diketahui1
Rizal IrfandiAfiliasi tidak diketahui1
Muhammad ArafahAfiliasi tidak diketahui1
Ahmad YaniAfiliasi tidak diketahui1
Lia HastutiAfiliasi tidak diketahui1
Saida RasnoviAfiliasi tidak diketahui1
Cut Nanda DeviraAfiliasi tidak diketahui1
Mardianti MardiantiAfiliasi tidak diketahui1
Fachruddin AzmiAfiliasi tidak diketahui1
Toni NasutionAfiliasi tidak diketahui1
Khairul AnwarAfiliasi tidak diketahui1
Saiful AkmalUniversitas Islam Negeri Ar-Raniry1
Faraha HamidiAfiliasi tidak diketahui1
Ikhramah IsmedAfiliasi tidak diketahui1
Abd Mujahid HamdanAfiliasi tidak diketahui1
Ridha MaulanaAfiliasi tidak diketahui1
T. Mulkan SafriAfiliasi tidak diketahui1
Fitria GemasihAfiliasi tidak diketahui1
Juniar AfridaAfiliasi tidak diketahui1
Rian AfkarAfiliasi tidak diketahui1
Rusydi RusydiAfiliasi tidak diketahui1
Dinda Yulia DarsaAfiliasi tidak diketahui1
Samsul BahriAfiliasi tidak diketahui1
Cut Maulida RahmahAfiliasi tidak diketahui1
Meriska AfryaniAfiliasi 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) https://journal.unnes.ac.id/journals/rji/oai, pertama di-harvest 6 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">Development of an Academic Chatbot Based on Natural Language Processing for Student Information Services at Universitas Bina Darma</dc:title>
	<dc:creator xml:lang="en">Syahputra, Muhammad Arif Rahmad</dc:creator>
	<dc:creator xml:lang="en">Widyanto</dc:creator>
	<dc:creator xml:lang="en">Muhammad Nasir</dc:creator>
	<dc:subject xml:lang="en">Natural Language Processing</dc:subject>
	<dc:subject xml:lang="en">Academic Chatbot</dc:subject>
	<dc:subject xml:lang="en">Student Information Services</dc:subject>
	<dc:subject xml:lang="en">WhatsApp</dc:subject>
	<dc:subject xml:lang="en">Dialog flow ES</dc:subject>
	<dc:description xml:lang="en">Purpose: Repetitive academic inquiries and substantial linguistic variation in informal Indonesian student messages can reduce the consistency and timeliness of university information services. This study develops and evaluates an academic chatbot for student information services at Universitas Bina Darma through WhatsApp.
Methods/Study design/approach: An applied engineering-research approach was employed. An exploratory questionnaire involving 100 active students was used to identify dominant information needs and representative query expressions, while verified institutional documents were used separately to construct controlled service responses. The implemented architecture integrates Baileys as the WhatsApp messaging gateway, Node.js/Express as the orchestration layer, Dialog flow ES for intent and entity recognition, and MySQL for conversation logging and monitoring. The final agent contains 129 custom intents, 22 entities, and 2,572 training-phrase entries. An operational confidence threshold of 0.70 was applied to route uncertain inputs to fallback handling. Evaluation was conducted at four layers: 13 black-box functional scenarios, 24 intent cases representing major service families and out-of-scope input, 15 response-conformity cases, and six end-to-end integration scenarios.
Result/Findings: All black-box scenarios produced the expected outputs. Intent agreement reached 95.83%, response conformity reached 86.67%, and all integration scenarios were successful. The difference between intent agreement and response conformity indicates that correct intent recognition does not necessarily guarantee an equally specific or institutionally appropriate answer when response coverage is incomplete.
Novelty/Originality/Value: The contribution of this study is therefore positioned as applied system engineering rather than a new NLP algorithm. It demonstrates a deployable, confidence-controlled architecture that separates informal-query recognition from verified institutional delivery and evaluates recognition, answer conformity, and technical integration as distinct quality dimensions. Broader intent coverage, human-user evaluation, threshold calibration, load testing, and dynamic integration with institutional information systems remain necessary for wider deployment.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-09-30</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/rji/article/view/62866</dc:identifier>
	<dc:identifier>10.15294/rji.v4i2.62866</dc:identifier>
	<dc:source xml:lang="en">Recursive Journal of Informatics; Vol. 4 No. 2 (2026): September 2026; 113-126</dc:source>
	<dc:source>2986-6588</dc:source>
	<dc:source>2963-5551</dc:source>
	<dc:source>10.15294/j2r8b957</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/rji/article/view/62866/11623</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Recursive Journal of Informatics</dc:rights>
</oai_dc:dc>