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All Journal Jurnal Teknologi Pendidikan JURNAL PENGABDIAN KEPADA MASYARAKAT Sinkron : Jurnal dan Penelitian Teknik Informatika JCRS (Journal of Community Research and Service) Jurnal Mantik BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan INFOKUM Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Seminar Nasional Pengabdian Kepada Masyarakat QISTINA: Jurnal Multidisiplin Indonesia Jurnal Penelitian Pendidikan Indonesia The Indonesian Journal of Computer Science
Putri, Tansa Trisna Astono
Universitas Negeri Medan
Religion Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences Other

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Journal : JCRS (Journal of Community Research and Service)

 1 
Chatbot Prototype Training Using Deep Learning Methods For Tourism in North Sumatra Fibriasari, Hesti; Putri, Tansa Trisna Astono; Widiastuti, Uyuni
Journal of Community Research and Service Vol 7, No 2: July 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v7i2.49506

Abstract

One of the several foreign exchange industries with considerable expansion potential is tourism. One is the province of North Sumatra, which has numerous intriguing tourist attractions. Advertising and inadequate tourism information management systems are factors that are impeding the growth of the tourism industry. The younger generation still has very little understanding of artificial intelligence and its applications for Chatbots and support services. A program called a Chatbot makes to hold chats for you. As a result, instruction requires in the design and use of deep-learning Chatbots. By offering guidance, examples, and hands-on training on tourist Chatbot prototypes from North Sumatra, this non-profit endeavor attempted to address the issue at hand. The PKM program's activities include: 1) instruction in marketing strategies including tourist information management systems. 2) instruction in the fundamental ideas of artificial intelligence, particularly Chatbots. 3) instruction in deep learning for Chatbot construction; 4) instruction in utilizing the Chatbot application. It envisaged that the outcomes of this activity would promote public awareness usage of Chatbot applications to discover data regarding tourist attractions around the province of North Sumatra as awareness among tourists.
CHATBOT PROTOTYPE TRAINING USING DEEP LEARNING METHODS FOR TOURISM IN NORTH SUMATRA Fibriasari, Hesti; Putri, Tansa Trisna Astono; Widiastuti, Uyuni
Journal of Community Research and Service Vol 8, No 1: January 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v8i1.57639

Abstract

Tourism is one of the foreign exchange industry that has significant potential for expansion. One notable province is North Sumatra, which boasts a plethora of captivating tourism destinations. Advertising and insufficient management systems for tourism information are hindering the expansion of the tourism business. The younger generation lacks a significant comprehension of artificial intelligence and its utilization in Chatbots and support services. A Chatbot is a program designed to engage in conversations on your behalf. Consequently, the design and deployment of deep-learning Chatbots necessitate teaching. This non-profit initiative aimed to tackle the issue by providing direction, examples, and practical training on tourist Chatbot prototypes specifically from North Sumatra. The PKM curriculum offers teaching in marketing methods, specifically focusing on tourist information management systems. 2) Education on the core concepts of artificial intelligence, specifically focusing on Chatbots. 3) Training in deep learning for constructing Chatbots; 4) Training in using the Chatbot application. The purpose of this activity is to increase public knowledge and usage of Chatbot applications for obtaining information about tourism destinations in the province of North Sumatra, in order to raise awareness among tourists.
Chatbot Prototype Training Using Deep Learning Methods For Tourism in North Sumatra Fibriasari, Hesti; Putri, Tansa Trisna Astono; Widiastuti, Uyuni
Journal of Community Research and Service Vol. 7 No. 2: July 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v7i2.49506

Abstract

One of the several foreign exchange industries with considerable expansion potential is tourism. One is the province of North Sumatra, which has numerous intriguing tourist attractions. Advertising and inadequate tourism information management systems are factors that are impeding the growth of the tourism industry. The younger generation still has very little understanding of artificial intelligence and its applications for Chatbots and support services. A program called a Chatbot makes to hold chats for you. As a result, instruction requires in the design and use of deep-learning Chatbots. By offering guidance, examples, and hands-on training on tourist Chatbot prototypes from North Sumatra, this non-profit endeavor attempted to address the issue at hand. The PKM program's activities include: 1) instruction in marketing strategies including tourist information management systems. 2) instruction in the fundamental ideas of artificial intelligence, particularly Chatbots. 3) instruction in deep learning for Chatbot construction; 4) instruction in utilizing the Chatbot application. It envisaged that the outcomes of this activity would promote public awareness usage of Chatbot applications to discover data regarding tourist attractions around the province of North Sumatra as awareness among tourists.
CHATBOT PROTOTYPE TRAINING USING DEEP LEARNING METHODS FOR TOURISM IN NORTH SUMATRA Fibriasari, Hesti; Putri, Tansa Trisna Astono; Widiastuti, Uyuni
Journal of Community Research and Service Vol. 8 No. 1: January 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v8i1.57639

Abstract

Tourism is one of the foreign exchange industry that has significant potential for expansion. One notable province is North Sumatra, which boasts a plethora of captivating tourism destinations. Advertising and insufficient management systems for tourism information are hindering the expansion of the tourism business. The younger generation lacks a significant comprehension of artificial intelligence and its utilization in Chatbots and support services. A Chatbot is a program designed to engage in conversations on your behalf. Consequently, the design and deployment of deep-learning Chatbots necessitate teaching. This non-profit initiative aimed to tackle the issue by providing direction, examples, and practical training on tourist Chatbot prototypes specifically from North Sumatra. The PKM curriculum offers teaching in marketing methods, specifically focusing on tourist information management systems. 2) Education on the core concepts of artificial intelligence, specifically focusing on Chatbots. 3) Training in deep learning for constructing Chatbots; 4) Training in using the Chatbot application. The purpose of this activity is to increase public knowledge and usage of Chatbot applications for obtaining information about tourism destinations in the province of North Sumatra, in order to raise awareness among tourists.
Co-Authors Abdullah, MT, Dr. Rijal Adilla Ulfhi Adwiyah, Rabiatul Al Farishi, M Farid Ambiyar, Ambiyar Ami, Hutri Asmar Yulastri Azmi Rizky Lubis Baharuddin . Baharuddin Baharuddin Bakti Dwi Waluyo Barus, Tirta Yasa Agung Bayu Angga Wijaya Calista, Sandha Dwiki Muda Yulanto Fadhilah Fadhilah Fahmi Rizal Fali, Rifki Fattah, M Faturrahman, M Nadhif Ganefri Ginting, Ariyantika Br Gorat, Loveyanni Marito Benedikta Hanapi Hasan Hasan Maksum Hesti Fibriasari Hesti Fibriasari Jauharah, Jauharah Khofifah Qalbun Salima Lubis, Khodijah May Nuri Manurung, Ricardo Mardhiyah, Hanifah Marta, Rizkayeni Maulana, Bagoes Maulidiyah, Ratna Mendoza, Muhammad Dominique Mhd. Dominique Mendoza Muhammad Fadhiel Alie Nazwa, Safira Nizwardi Jalinus Nurilam Harianja Nurrahma, Suci Olnes Y. Hutajulu Perdana, Nugraha Aditama Putra Rahmadany, Savitri Rahmadhani, Alfi Rahmi, Alya Ramadani, Nadila Reni Rahmadani Ressy Dwitias Sari Saragi, Frans Jhonatan Sarumaha, Matius Irvan Savitri Rahmadany Siman Sinaga, Novi Novani Sitorus, Andika Syahputra, Fahmy Tanzila, Laili Tarigan, Febrinata Silvinna Boru Tarigan, Gabriel Frandika Tarigan, Ray Rivandi Tengku Ratna Soraya Uyuni Widiastuti Waskito Wulansari, Rizky Ema Zai, Frans Pratamarifai Doya