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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Pendidikan Teknologi dan Kejuruan APTEKINDO Jurnal Sains dan Teknologi Jurnal Teknologi Pembelajaran Sinkron : Jurnal dan Penelitian Teknik Informatika SINTECH (Science and Information Technology) Journal Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYA LAKSANA IJISTECH (International Journal Of Information System & Technology) Jurnal Pendidikan Teknik Mesin Undiksha Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Unri Conference Series: Community Engagement IJISTECH
Luh Joni Erawati Dewi
Universitas Pendidikan Ganesha
Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : Jurnal Sains dan Teknologi

 1 
UNDIKSHA VIRTUAL ASSISTANT (SHAVIRA): INTEGRATION FREQUENCY ASKED QUESTION WITH RASA FRAMEWORK Resika Arthana, I Ketut; Dewi, Luh Joni Erawati; Seputra, Ketut Agus; Marti, Ni Wayan
JST (Jurnal Sains dan Teknologi) Vol 10, No 2 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1084.369 KB) | DOI: 10.23887/jst-undiksha.v10i2.39863

Abstract

Nowadays, the implementation of chatbots in information systems is getting popular to increase user experience. In our previous research, we developed Undiksha Virtual Assistant (Shavira). Shavira is a knowledge management system (KMS) as Frequency Asked Question (FAQ) system to facilitate users to get an answer about their questions. The challenge on the existing Shavira system is that the users must open a website and type queries to get a list of answers. The text query must match with the keyword in systems. To address this problem and to avoid cognitive load, in this research we implemented a chatbot in Shavira. The purpose of the chatbot implementation in Shavira is to make information easier to be accessed and to increase user experience. The users can ask a question in natural language and get an answer immediately on their chat application such as: Telegram, Facebook, or Messenger. We used Rasa Framework as a chatbot engine in Shavira. Rasa Framework is an open-source virtual assistant engine based on artificial intelligence. The challenge in conducting this research is in integrating the existing FAQ system with Rasa Framework. This research consists of four phases, they are: adaptation data structure in the existing FAQ with data structure requested by Rasa framework, data integration and mapper, and evaluation. The result of this research is a new Shavira that is integrated with a chatbot and can be accessed from chat applications such as Telegram.  We evaluated the accuracy of Shavira powered by Rasa Framework with ten topics about academic information. The results showed that the accuracy of Shavira is 90%. We also evaluated the usability of Shavira with Software Usability Scale (SUS) Questionnaire. The usability evaluation showed that Shavira satisfied users with value  81 (threshold 68) and categorized Excellent, Acceptable and Prometer.
UNDIKSHA VIRTUAL ASSISTANT (SHAVIRA): INTEGRATION FREQUENCY ASKED QUESTION WITH RASA FRAMEWORK I Ketut Resika Arthana; Luh Joni Erawati Dewi; Ketut Agus Seputra; Ni Wayan Marti
JST (Jurnal Sains dan Teknologi) Vol. 10 No. 2 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1084.369 KB) | DOI: 10.23887/jstundiksha.v10i2.39863

Abstract

Nowadays, the implementation of chatbots in information systems is getting popular to increase user experience. In our previous research, we developed Undiksha Virtual Assistant (Shavira). Shavira is a knowledge management system (KMS) as Frequency Asked Question (FAQ) system to facilitate users to get an answer about their questions. The challenge on the existing Shavira system is that the users must open a website and type queries to get a list of answers. The text query must match with the keyword in systems. To address this problem and to avoid cognitive load, in this research we implemented a chatbot in Shavira. The purpose of the chatbot implementation in Shavira is to make information easier to be accessed and to increase user experience. The users can ask a question in natural language and get an answer immediately on their chat application such as: Telegram, Facebook, or Messenger. We used Rasa Framework as a chatbot engine in Shavira. Rasa Framework is an open-source virtual assistant engine based on artificial intelligence. The challenge in conducting this research is in integrating the existing FAQ system with Rasa Framework. This research consists of four phases, they are: adaptation data structure in the existing FAQ with data structure requested by Rasa framework, data integration and mapper, and evaluation. The result of this research is a new Shavira that is integrated with a chatbot and can be accessed from chat applications such as Telegram.  We evaluated the accuracy of Shavira powered by Rasa Framework with ten topics about academic information. The results showed that the accuracy of Shavira is 90%. We also evaluated the usability of Shavira with Software Usability Scale (SUS) Questionnaire. The usability evaluation showed that Shavira satisfied users with value  81 (threshold 68) and categorized Excellent, Acceptable and Prometer.
Co-Authors A. A. Gede Yudhi Paramartha Ach. Khalil Kadir Agus Gunawan Agus Seputra I Ketut Ahmad Asroni Ahmad Asroni Ariana, I Wayan Dwi Prima Handayani Putri Dwipayana, Made Krisna Gede Arya Ardivan Pratama Saputra Gede Beny Indrawan Gede Indrawan Gede Rasben Dantes Gede Tomi Junaedi Gusti Ayu Gita Mulya Sari Handayani Putri, Dwi Prima I Gede Aris Gunadi I Gede Krishna Adi I Gede Randi Wirdana I Gusti Andiani Octavia I Gusti Lanang Agung Andrayuga I Gusti Putu Yada Giri I Kadek Purnama Yasa I Ketut Paramarta I Ketut Purnamawan I Ketut Purnamawan I Ketut Purnamawan I Ketut Resika Arthana I Made Candiasa I Made Gede Sunarya I Made Suryana Dwipa I Nyoman Gede Ardi Yana Putra I Nyoman Pasek Nugraha I Nyoman Saputra Wahyu Wijaya I Wayan Ariana IDA BAGUS KETUT KARISMA PRIMAYUDI Indrawan, Gede Beny Junaedi, Gede Tomi Kadek Rihendra Dantes Kadek Utari Darma Putri Komang Setemen Made Krisna Dwipayana Ni Ketut Opayanti Ni Wayan Marti PRIMAYUDI, IDA BAGUS KETUT KARISMA Putri, Kadek Utari Darma Randi Wirdana, I Gede Sari, Gusti Ayu Gita Mulya Wisnu Dwijaya Pradiktha