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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Revenue : Jurnal Ekonomi Pembangunan dan Ekonomi Islam Biner : Jurnal Ilmiah Informatika dan Komputer Journal of Engineering and Informatic
Sibyan, Hidayatus
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Journal : Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)

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Layanan Pelanggan Berbasis Natural Language Processing Melalui Chatbot Pada UKM NQ Water Menggunakan Naïve Bayes Algorithm Said, Muhammad Arju; Sibyan, Hidayatus; Hasanah, Nur
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.710

Abstract

Proper, quick and easy customer service is what every business player should care about. Includes how to virtually communicate with customers  through messaging apps. Thanks to the sophistication of information technology, they can be used to create new  opportunities for economic actors. One of them is natural language processing or NLP technology that allows machines to interact with natural human  language. This study aims to provide courier services to customers in an efficient and effective manner. The implementation is done  using chatbots on  messaging applications. Chatbot is designed to be able to respond to customer messages automatically and in real time by implementing  NLP methods. Based on the observations made, it is known that the 3 types of questions most  frequently asked by customers are location, price list and shuttle service. Research results  show that chatbots created in natural language can be easily understood and used by customers. It is also made easier for business stakeholders as they no longer need to respond to each customer message, making  customer service  more responsive and optimized.
Co-Authors Akh. Fawaid Al Amali, Diah Alif Muwafiq, M. Asnawi, Fuat Astuti, Erna Dwi Erifatul Khasanah, Rifka Fuat Asnawi, Muhamad Gilang Pratama Indah Lestari, Annisa Mardiyantoro, Nahar Moh. Zaini Nur Hasanah Said, Muhammad Arju Siti Badriyah