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RANCANGAN CHATBOT REKOMENDASI COFFEE SHOP JABODETABEK DENGAN MENGGUNAKAN DIALOGFLOW NATURAL LANGUAGE PROCESSING

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Bibliographic Details
Title: RANCANGAN CHATBOT REKOMENDASI COFFEE SHOP JABODETABEK DENGAN MENGGUNAKAN DIALOGFLOW NATURAL LANGUAGE PROCESSING
Authors: Syahrani, Gina, Sevira, Silviana, Yunizar Pratama Yusuf, Ajif
Source: SKANIKA: Sistem Komputer dan Teknik Informatika; Vol. 7 No. 1 (2024): Jurnal SKANIKA Januari 2024; 74-84 ; SKANIKA: Sistem Komputer dan Teknik Informatika; Vol 7 No 1 (2024): Jurnal SKANIKA Januari 2024; 74-84 ; 2721-4788
Publisher Information: Universitas Budi Luhur
Publication Year: 2024
Subject Terms: Coffee Shop, NLP, Chatbot, Dialogflow, Telegram Messenger
Description: Public interest in coffee culture is increasing, especially in the JABODETABEK area. Some ways to get information about finding recommendations for coffee shops that are tiring through social media platforms, asking peers, advertisements and others still feel less effective and efficient. Utilization of chatbot technology and Natural Language Processing as an effective solution in providing coffee shop recommendations to users. This research aims to design and implement a chatbot that has the ability to deliver coffee shop recommendations based on user preferences. This chatbot is applied with Dialogflow which is able to connect to the Telegram platform. Dialogflow is used to process user input in the form of natural language and provide additional information such as location, opening hours, prices, menus, and social media to communicate to the coffee shop. Chatbot is a practical way for Telegram users to communicate information quickly. The expected result of this coffee shop recommendation chatbot system using Dialogflow NLP is to be able to provide useful and relevant recommendations to users, with the potential to promote coffee culture in the Jabodetabek area. ; Ketertarikan masyarakat terhadap budaya kopi semakin meningkat, khususnya didaerah area Jabodetabek. Beberapa cara untuk mendapatkan informasi mengenai pencarian rekomendasi coffee shop yang melelahkan melalui platfrom media sosial, bertanya dengan teman sebaya, iklan dan lainnya masih merasa kurang efektif dan efisien. Pemanfaatan teknologi chatbot serta Natural Language Processing sebagai solusi efektif dalam memberikan rekomendasi coffee shop kepada pengguna. Penelitian ini bertujuan merancang serta mengimplementasi suatu chatbot yang memiliki kemampuan menyampaikan rekomendasi coffee shop berdasarkan preferensi pengguna. Chatbot ini diaplikasikan dengan Dialogflow yang mampu terhubung pada platfrom Telegram. Dialogflow digunakan untuk memproses masukan pengguna dalam bentuk bahasa alami dan memberikan informasi tambahan seperti lokasi, jam ...
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://jom.fti.budiluhur.ac.id/SKANIKA/article/view/3139/1336; https://jom.fti.budiluhur.ac.id/SKANIKA/article/view/3139
DOI: 10.36080/skanika.v7i1.3139
Availability: https://jom.fti.budiluhur.ac.id/SKANIKA/article/view/3139
https://doi.org/10.36080/skanika.v7i1.3139
Rights: Copyright (c) 2024 SKANIKA: Sistem Komputer dan Teknik Informatika
Accession Number: edsbas.8AA0BB71
Database: BASE
Description
Abstract:Public interest in coffee culture is increasing, especially in the JABODETABEK area. Some ways to get information about finding recommendations for coffee shops that are tiring through social media platforms, asking peers, advertisements and others still feel less effective and efficient. Utilization of chatbot technology and Natural Language Processing as an effective solution in providing coffee shop recommendations to users. This research aims to design and implement a chatbot that has the ability to deliver coffee shop recommendations based on user preferences. This chatbot is applied with Dialogflow which is able to connect to the Telegram platform. Dialogflow is used to process user input in the form of natural language and provide additional information such as location, opening hours, prices, menus, and social media to communicate to the coffee shop. Chatbot is a practical way for Telegram users to communicate information quickly. The expected result of this coffee shop recommendation chatbot system using Dialogflow NLP is to be able to provide useful and relevant recommendations to users, with the potential to promote coffee culture in the Jabodetabek area. ; Ketertarikan masyarakat terhadap budaya kopi semakin meningkat, khususnya didaerah area Jabodetabek. Beberapa cara untuk mendapatkan informasi mengenai pencarian rekomendasi coffee shop yang melelahkan melalui platfrom media sosial, bertanya dengan teman sebaya, iklan dan lainnya masih merasa kurang efektif dan efisien. Pemanfaatan teknologi chatbot serta Natural Language Processing sebagai solusi efektif dalam memberikan rekomendasi coffee shop kepada pengguna. Penelitian ini bertujuan merancang serta mengimplementasi suatu chatbot yang memiliki kemampuan menyampaikan rekomendasi coffee shop berdasarkan preferensi pengguna. Chatbot ini diaplikasikan dengan Dialogflow yang mampu terhubung pada platfrom Telegram. Dialogflow digunakan untuk memproses masukan pengguna dalam bentuk bahasa alami dan memberikan informasi tambahan seperti lokasi, jam ...
DOI:10.36080/skanika.v7i1.3139