Article Per Year (5 Year)
p-Index From 2019 - 2024
1.066
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi Annual Research Seminar EDUMATIC: Jurnal Pendidikan Informatika BERNAS: Jurnal Pengabdian Kepada Masyarakat Internet of Things and Artificial Intelligence Journal
Gustina, Sapriani
Universitas Proklamasi 45
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : EDUMATIC: Jurnal Pendidikan Informatika

 1 
Perancangan Chatbot di Universitas Proklamasi 45 Hakim, Lukman; Gustina, Sapriani; Putri, Shela Fadila; Faudiah, Sri Ulfa
Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 1 (2020): Edumatic : Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Customer Support is a person who serves prospective student questions appropriately and quickly. However, the conventional Customer Support requires high operating costs and has limited working hours. Moreover, in busy times, sometimes Customer Support is slow in responding to questions. In this study, a Chatbot system will be built to answer basic questions from prospective students, so it can improve the efficiency and effectiveness of Customer Support work at the Proklamasi 45 University. The more complex questions will still be directed to conventional Customer Support by the system. The Chatbot system in this study was built using the waterfall method, which consists of the requirements specification, design, implementation, testing, and implementation stages. The intent recognition will be performed using the StarSpace algorithm and Count Vectorizer by the Chatbot System. The frequency of occurrence of words in a sentence will be a reference to determine the purpose of a sentence. Testing is performed by Black box method by sending questions and evaluating the responses given by the system. The test results show that the Chatbot can provide answers with an accuracy of 97.75%. So it can be concluded that the Chatbot system can substitute the role of Customer Support. Accuracy can be improved by adding more data variations to the training data
Perancangan Chatbot di Universitas Proklamasi 45 Lukman Hakim; Sapriani Gustina; Shela Fadila Putri; Sri Ulfa Faudiah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 4, No 1 (2020): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v4i1.2157

Abstract

Customer Support is a person who serves prospective student questions appropriately and quickly. However, the conventional Customer Support requires high operating costs and has limited working hours. Moreover, in busy times, sometimes Customer Support is slow in responding to questions. In this study, a Chatbot system will be built to answer basic questions from prospective students, so it can improve the efficiency and effectiveness of Customer Support work at the Proklamasi 45 University. The more complex questions will still be directed to conventional Customer Support by the system. The Chatbot system in this study was built using the waterfall method, which consists of the requirements specification, design, implementation, testing, and implementation stages. The intent recognition will be performed using the StarSpace algorithm and Count Vectorizer by the Chatbot System. The frequency of occurrence of words in a sentence will be a reference to determine the purpose of a sentence. Testing is performed by Black box method by sending questions and evaluating the responses given by the system. The test results show that the Chatbot can provide answers with an accuracy of 97.75%. So it can be concluded that the Chatbot system can substitute the role of Customer Support. Accuracy can be improved by adding more data variations to the training data
Co-Authors Abdul Fadlil Enda Apriani Faudiah, Sri Ulfa Faudiah, Sri Ulfa Feri Febria Laksana Hakim, Lukman Hakim, Lukman Hb. Sukarjo Jemadi Jemadi Lukman Hakim Muhammad Eka Purbaya Muhammad Khusaini Azis Muhammad Noviansyah Aridito Muhammad Sigit Cahyono Nugraha, Anggit Ferdita Putri, Shela Fadila Putri, Shela Fadila Rusydi Umar Shela Fadila Putri Sri Ulfa Faudiah