Implementasi Chatbot Telegram Interaktif sebagai Asisten Virtual dalam Jual Beli Busana Menggunakan Framework RASA
DOI:
https://doi.org/10.35870/jtik.v9i3.3652Keywords:
Chatbot, Fashion, RASA, TelegramAbstract
In today's digital era, the use of technology in various fields of life such as economics and commerce is becoming increasingly important. With the development of increasingly advanced technology, it can provide convenience and time efficiency in expanding market coverage. The use of chatbots as information technology has increased rapidly in recent years and is becoming increasingly popular. Chatbot is a computer program designed to simulate conversations with human users via the internet. The implementation of Telegram chatbots can help simplify communication between sellers and buyers and provide product information. The purpose of this study is to identify and analyze factors that influence the effectiveness of using Telegram chatbots in providing information related to buying and selling Fashion and to determine their effectiveness in increasing customer satisfaction. Evaluation of this chatbot was carried out through direct testing with users to assess the level of accuracy of chatbot responses, user satisfaction, and ease of use. The evaluation results showed that the RASA-based Telegram chatbot, which was evaluated using the System Usability Scale method, was able to provide accurate and quite satisfactory responses when used by users.
Downloads
References
Al Fajri, M. R., & Hartono, B. (2024). Pengembangan aplikasi chatbot Telegram menggunakan framework Rasa untuk pelayanan administrasi di Perguruan Tinggi Universitas Stikubank. Jurnal Teknologi Informasi dan Komunikasi, 8(1), 133–136. https://doi.org/10.35870/jtik.v8i1.1370.
Ardhana, V. Y. P. (2022). Evaluasi usability e-learning Universitas Qamarul Huda menggunakan System Usability Scale (SUS). Jurnal Informatics, Electrical, and Electronics Engineering, 2(1), 5–11. https://doi.org/10.47065/jieee.v2i1.430.
Bariyah, S. H., & Imania, K. A. N. (2022). Pengembangan virtual assistant chatbot berbasis WhatsApp pada pusat layanan informasi mahasiswa Institut Pendidikan Indonesia - Garut. Jurnal Petik, 8(1), 66–79. https://doi.org/10.31980/jpetik.v8i1.1575.
Chandra, A. Y., Kurniawan, D., & Musa, R. (2020). Perancangan chatbot menggunakan Dialogflow natural language processing (Studi Kasus: Sistem pemesanan pada coffee shop). Jurnal Media Informasi Budidarma, 4(1), 208. https://doi.org/10.30865/mib.v4i1.1505.
Febriansyah, E., & Nirmala, E. (2023). Perancangan Sistem Informasi Jual Beli Properti Menggunakan Chat Bot Telegram Yang Terintegrasi Dengan Web Menggunakan Metode Prototype. Journal of Research and Publication Innovation, 1(2), 279-284.
Ferdian, A. D., & Anwar, S. N. (2023). Pengembangan chatbot untuk informasi wisata interaktif di Tangerang Selatan menggunakan framework Rasa. Jurnal Teknologi dan Sistem Informasi Bisnis, 5(4), 476–483. https://doi.org/10.47233/jteksis.v5i4.953.
Haryanto, I. D. (2024). Implementasi chatbot kesehatan kucing melalui Dialogflow dan Telegram untuk pemberian informasi penyakit dan perawatan. Jurnal Teknologi Informasi dan Multimedia, 5(4), 365–376. https://doi.org/10.35746/jtim.v5i4.484.
Hikmah, N., Ariyanti, D., & Pratama, F. A. (2022). Implementasi Chatbot Sebagai Virtual Assistant di Universitas Panca Marga Probolinggo menggunakan Metode TF-IDF. JTIM: Jurnal Teknologi Informasi dan Multimedia, 4(2), 133-148. https://doi.org/10.35746/jtim.v4i2.225.
Kosim, M. A., Aji, S. R., & Darwis, M. (2022). Pengujian usability aplikasi Pedulilindungi dengan metode System Usability Scale (SUS). Jurnal Sistem Informasi dan Sains Teknologi, 4(2), 1–7.
Lestari, D., Ramdhani, F., Ruliansyah, M. J., Beay, R. B. R., & Mulyana, D. I. (2023). Implementasi chatbot Telegram dalam meningkatkan partisipasi kegiatan warga. Jurnal Pengabdian kepada Masyarakat Nusantara, 4(2), 866-874.
Nathanael, F., Razaq, J. A., & Santoso, D. B. (2024). Penerapan metode design thinking dalam perancangan website kuis online menggunakan Figma di SMP Negeri 39 Semarang. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 8(4), 1103-1112.
Nugroho, K. (2025). Sistem Rekomendasi Wisata di Pekalongan melalui Chatbot dengan Framework Rasa. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 9(1), 68-77. https://doi.org/10.35870/jtik.v9i1.3000.
Rohman, A. N., Utami, E., & Raharjo, S. (2019). Deteksi kondisi emosi pada media sosial menggunakan pendekatan leksikon dan natural language processing. Jurnal Eksplora Informatika, 9(1), 70-76. https://doi.org/10.30864/eksplora.v9i1.277.
Sriyeni, Y. (2022). Analisis usability aplikasi investasi digital menggunakan metode heuristic evaluation dan system usability scale. Jurnal Ilmiah Informasi Global, 13(2), 88–93. https://doi.org/10.36982/jiig.v13i2.2294.
Toamain, A. S. (2021). Rancang bangun aplikasi chatbot sebagai virtual assistant dalam pelayanan pengguna data di Badan Pusat Statistik Provinsi Maluku. Jurnal Teknologi Informasi, 7(1), 24–31. https://doi.org/10.52643/jti.v7i1.1292.
Wulandari, D., & Wibowo, J. S. (2023). Implementasi chatbot menggunakan framework rasa untuk layanan informasi wisata di kota pati. INTECOMS: Journal of Information Technology and Computer Science, 6(2), 794-801.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Muhammad Alfian Syach, Budi Hartono
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
