Rancang Bangun Fitur Chatbot Customer Service Menggunakan Dialogflow

Jansen Wiratama, Samuel Ady Sanjaya, Victor Ilyas Sugara

Abstract


The quality of providing customer service channels is very influential on customer satisfaction. To keep customer satisfaction, it is necessary to have a good interaction from customer service to the customer. In this case, PT Dian Prima Jayaraya is one of the companies that utilize Solo's application product as a medium for customer service. The development of the Solo application makes the application's features more complex and makes it difficult for users to do activities in the application. Customer service has a role in accommodating questions and answering difficulties experienced by users. The number of incoming questions is quite large, so that the existing customer service team cannot answer. Ignored or unanswered questions can lower the level of customer satisfaction. Therefore, we need a system that can help optimize customer service in a Chatbot to minimize unanswered customer questions. A chatbot is a service powered by rules and artificialintelligence, which the user interacts with through a chat interface. The Chatbot will be built on an iOS prototype application and use the NLP (Natural Language Processing) platform, namely Dialogflow. This platform will process and scan every question given by the customer.


Keywords


Chatbot; Customer Service; Dialogflow; NLP

References


Nila dan I. Afrianto. 2015. Rancang Bangun Aplikasi Chatbot Informasi Objek Wisata Kota Bandung dengan Pendekatan Natural Language Processing. Jurnal Ilmiah Komputer dan Informatika.

Sastrawngsa, Gde. 2017. Pemanfaatan Telegram Bot Untuk Automatisasi Layanan Dan Informasi Mahasiswa Dalam Konsep Smart Campus.

Paliwahet, I Nyoman Satria, I Made Sukarsa, dan I Ketut Gede Darma Putra. 2017. Pencarian Informasi Wisata Daerah Bali menggunakan Penerapan teknologi Chatbot.

Benedictus, R. R., Hans Wowor, dan Alwin Sambul. 2017. Rancang Bangun Chatbot Helpdesk untuk Sistem Informasi Terpadu Universitas Sam Ratulangi.

Azwary, F., Fatma Indriani, dan Dodon Turianto Nugrahadi. 2016. Question Answering System Berbasis Artificial Intelligence Markup Language Sebagai Media Informasi.

Amalia, Eka Larasati, dan Dimas Wahyu Wibowo. 2019. Rancang Bangun Chatbot Untuk Meningkatkan Performa Bisnis. Jurnal Ilmiah Teknologi Informasi Asia.

Satzinger, Systems Analysis and Design in a Changing World, Cengage Learning, 2014. Mohan N, Undeland TM, Robbins WP. Power Electronics. New York: John Wiley & Sons. 2005: 11-13.

Mustaqbal, M.S.M., Firdaus, R.F.F., dan Rahmadi, H.R. Pengujian Aplikasi Menggunakan Black Box Testing Boundary Value Analysis (Studi Kasus Aplikasi Prediksi Kelulusan SNMPTN). Jurnal Ilmiah Teknologi Terapan (JITTER), 2015; 1(3):31-36.

Patricio Pérez, et al. 2019. ChatPy: Conversational agent for SMEs. 14th Iberian Conference on Information Systems and Technologies (CISTI).

Iswandi A, 2018. Implementasi Chatbot pada Order Management System Usaha Mikro Kecil Menengah (Studi Kasus Hdkreasi). Tugas Akhir, Universitas Islam Indonesia.

Angelov S, Lazarova M. 2019. E-commerce Distributed Chatbot System. BCI'19: Proceedings of the 9th Balkan Conference on Informatics.

Astiningrum M, dkk. 2019. Identifikasi Komponen Gui pada Prototipe Aplikasi Mobile. 2019: Seminar Informatika Aplikatif 2019.


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DOI: 10.33751/komputasi.v19i1.4474 Abstract views : 900 views : 1539

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