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All Journal EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan agriTECH Barometer International Journal of Electronics and Communications Systems Jurnal Inovasi Pembangunan Electrician : Jurnal Rekayasa dan Teknologi Elektro
Mulyani, Yessi
Universitas Lampung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Journal : EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi

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Implementasi Long Short-Term Memory pada Chatbot Informasi Akademik Teknik Informatika Unila Puput Budi Wintoro; Hilmi Hermawan; Mona Arif Muda; Yessi Mulyani
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2593

Abstract

The times have made technology develop rapidly and rapidly, one of which is artificial intelligence. According to an Accenture survey, s can help organizations with up to 30% operational costs and users enjoy having 24/7 instant access to the answers they order. However, there are many organizations and companies that have not used s to facilitate business, one of which is the Informatics Engineering Study Program, University of Lampung (PSTI Unila). The purpose of this research is to able to apply the Long Short-Term Memory (LSTM) algorithm to the academic information at PSTI Unila and demonstrate the accuracy of the algorithm. Broadly speaking, this research consists of 4 stages: data collection and exploration, data preparation, building model and training, and testing the model. The model is tested using the user validation method which gets an accuracy of 99%. With these accurate results, this model is quite feasible to be used as a place for students to ask questions about PSTI Unila academic information.
Co-Authors Agus Haryanto Ardi Ragil Saputra Dzihan Septiangraini Gigih Forda Nama Halim Abdillah Sholeh Hery Dian Saptama Hery Dian Septama Hilmi Hermawan Mahendra Pratama Mareli Telaumbanua Meizano Ardhi Muhammad Mona Arif Muda Muhammad Amin Nyoman Herman Ardike Puput Budi Wintoro Sugeng Triyono Titin Yulianti Wahyu Aji Pulungan Wahyu Eko Sulistiono