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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi INTEGER: Journal of Information Technology JIEET (Journal of Information Engineering and Educational Technology) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Abadimas Adi Buana PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Abdi: Media Pengabdian Kepada Masyarakat Jurnal Ekonomika Dan Bisnis Journal of Informatics and Computer Science (JINACS) Serambi Engineering Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Ricky Eka Putra
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : Serambi Engineering

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A Systematic Literature Review on Chatbot Development For Whatsapp: Programming Language, Method, And Utility Rahulil, Muhammad; Yuni Yamasari; Ricky Eka Putra; I Made Suartana; Anita Qoiriah
Jurnal Serambi Engineering Vol. 10 No. 3 (2025): Juli 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

The development of chatbot technology in recent years has shown rapid advancements across various sectors, particularly on popular communication platforms such as WhatsApp. A systematic review is necessary to identify advancements related to chatbot development on WhatsApp. Therefore, this study presents a systematic literature re-view on the development and use of WhatsApp chatbots using the PRISMA framework. From an initial search of 41 studies, followed by filtering according to categories, eight relevant articles were identified from various digital data-bases through focused searches using the keyword "WhatsApp chatbot". The review results indicate that Natural Language Processing (NLP) methods are the most commonly applied approach in chatbot development, with Python being the dominant programming language. This is attributed to Python's flexibility and strong library support, such as NLTK, spacy, and TensorFlow, which enable more efficient chatbot development. The findings reveal that WhatsApp chatbots have been applied in various sectors, including healthcare, business, and education. The study's outcomes highlight the challenges and opportunities in future chatbot development, such as the integration of additional features and the enhancement of conversational context understanding. By providing in depth insights into trends and best practices, this study contributes to the development of WhatsApp chatbots as increasingly relevant and effective automated communication tools.
Co-Authors Aditya Prapanca Agus Prihanto Akbar, Rafy Aulia Alit, Ronggo Alizar Hasan Ammar, Muhammad Zhafran ANITA QOIRIAH Anita Qoiriah Ardiansyah, Muhammad Yusriza Asmunin Asmunin Aulia Akbar, Rafy Dewi, Maharani Nirmala Diastian Vinaya Wijanarko Dyantono, Aganda Maulan Dan Fardeen Atallah Kabir Muhammad Handayani Tjandrasa Haqqul Amal Jiddan I Made Suartana Iffo Elsande Pratama Putra Juhrah Singke Mahendra, Yusril Isra Maulana, Dimas Avian Mirwa Adiprahara Anggarani Muhammad Santoso Nanik Suciati Nuhaenibudi As-sajid, Amirah Bilqis Permatasari, Dyah Wahyu Prasetyo, Achmad Wafa Purnama, Erlix Rakhmad Putra, Nino Fachrurrozi Erlangga Putri, Rezky Arisanti Rafif Raif, Andi Rhifqy Rahmatulloh, Romadlon Rahulil, Muhammad Raya Sulistyowati Romadhon, Dedy Putra Suartana, I Made Subroto, Jahfal Azzuhri Tilasefana, Rhyosvaldo Aurellio Tri Sudarwanto Tutuk Indriyani Usodoningtyas, Sri Wisnu Shena Arrafi Wiyli Yustanti YUNI YAMASARI