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SiAkif-Bots: Gemini AI for Academic Service Chatbots

Journal of Applied Engineering and Technological Science (JAETS) · Vol. 6 No. 2 (2025) · hlm. 1237–1253

DOI
10.37385/jaets.v6i2.6728
ISSN
2715-6079, 2715-6087
Terbit
2025-06-08
Penerbit
Yayasan Riset dan Pengembangan Intelektual (YRPI)
Bahasa
en

Abstrak

Academic services are an important element in education, as they provide students with access to information and support. At Telkom University Purwokerto, there are obstacles to the efficiency of academic services, especially due to information delays and the high burden of onsite services. To overcome this challenge, a Telegram-based chatbot, "SiAkif," was developed using the Large Language Model (LLM) model from Gemini AI. Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. This research aims to implement the Telegram chatbot that utilizes Gemini AI for Indonesian-language academic services. The implementation showed satisfactory results, with the chatbot "SiAkif" recording an average BLEU score of 0.88, which reflects good performance and response. This chatbot effectively reduces information delays, expands service accessibility, and improves student experience in interacting with institutions. Through "SiAkif," the institution is expected to strengthen the interaction between students and academic services, making it a potential solution for digital transformation in education.

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  • Institut Teknologi Telkom Purwokerto
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Dwijanto DwijantoAfiliasi tidak diketahui1
N.R. Dewi (Nino Adhi)Afiliasi tidak diketahui1
Dasril AldoInstitut Teknologi Telkom Purwokerto1
Wahyu Andi SaputraAfiliasi tidak diketahui1
Ajeng Dyah KurniawatiAfiliasi tidak diketahui1
Dedy Agung PrabowoAfiliasi tidak diketahui1
Ahmad FauziAfiliasi tidak diketahui1
Feri YasinAfiliasi tidak diketahui1
Satya Helfi AgustiantoAfiliasi tidak diketahui1
Farhan Aryo PangestuAfiliasi tidak diketahui1
Gilang SulaemanAfiliasi tidak diketahui1
Nisrina NurhalizaAfiliasi tidak diketahui1
Pradana Ananda RaharjaAfiliasi 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.yrpipku.com/index.php/jaets/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">SiAkif-Bots: Gemini AI for Academic Service Chatbots</dc:title>
	<dc:creator xml:lang="en">Muna, Bunga Laelatul</dc:creator>
	<dc:creator xml:lang="en">Sudianto, Sudianto</dc:creator>
	<dc:creator xml:lang="en">Usman, Muhammad Lulu Latif</dc:creator>
	<dc:subject xml:lang="en">Academic services</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en">chatbot</dc:subject>
	<dc:subject xml:lang="en">Gemini</dc:subject>
	<dc:subject xml:lang="en">LLM</dc:subject>
	<dc:subject xml:lang="en">Telegram</dc:subject>
	<dc:description xml:lang="en">Academic services are an important element in education, as they provide students with access to information and support. At Telkom University Purwokerto, there are obstacles to the efficiency of academic services, especially due to information delays and the high burden of onsite services. To overcome this challenge, a Telegram-based chatbot, "SiAkif," was developed using the Large Language Model (LLM) model from Gemini AI. Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. This research aims to implement the Telegram chatbot that utilizes Gemini AI for Indonesian-language academic services. The implementation showed satisfactory results, with the chatbot "SiAkif" recording an average BLEU score of 0.88, which reflects good performance and response. This chatbot effectively reduces information delays, expands service accessibility, and improves student experience in interacting with institutions. Through "SiAkif," the institution is expected to strengthen the interaction between students and academic services, making it a potential solution for digital transformation in education.</dc:description>
	<dc:publisher xml:lang="en">Yayasan Riset dan Pengembangan Intelektual (YRPI)</dc:publisher>
	<dc:date>2025-06-08</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://journal.yrpipku.com/index.php/jaets/article/view/6728</dc:identifier>
	<dc:identifier>10.37385/jaets.v6i2.6728</dc:identifier>
	<dc:source xml:lang="en">Journal of Applied Engineering and Technological Science (JAETS); Vol. 6 No. 2 (2025): Journal of Applied Engineering and Technological Science (JAETS); 1237-1253</dc:source>
	<dc:source>2715-6079</dc:source>
	<dc:source>2715-6087</dc:source>
	<dc:source>10.37385/jaets.v6i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.yrpipku.com/index.php/jaets/article/view/6728/4515</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Bunga Laelatul Muna, Sudianto Sudianto, Muhammad Lulu Latif Usman</dc:rights>
</oai_dc:dc>