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All Journal Techno.Com: Jurnal Teknologi Informasi Metodik Didaktik JURNAL MEDIA INFORMATIKA BUDIDARMA PRISMA Proceedings of the 1st UR International Conference on Educational Sciences JURNAL PENDIDIKAN TAMBUSAI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika JURNAL TEKNOLOGI INFORMASI JUTIS : Jurnal Teknik Informatika Informatika JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Information Technology and Its Utilization REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Jurnal Pendidikan dan Teknologi Indonesia These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan JoMMiT : Jurnal Multi Media dan IT Journal Of Information And Technology Unimor (JITU) Indexia International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian Masyarakat Bangsa IndoMath: Indonesia Mathematics Education Journal of Information System and Education Development Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science
Suprih Widodo, Suprih
Indonesia University Of Education
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Journal : Journal of Information Technology and Its Utilization

 1 
NEXT WORD PREDICTION USING LSTM Afika Rianti; Suprih Widodo; Atikah Dhani Ayuningtyas; Fadlan Bima Hermawan
Journal of Information Technology and Its Utilization Vol 5, No 1 (2022)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.5.1.4748

Abstract

Next word prediction which is also called as language modelling is one field of natural language processing that can help to predict the next word. It’s one of the uses of machine learning. Some researchers before had discussed it using different models such as Recurrent Neural Networks and Federated Text Models. Each researcher used their own models to make the prediction and so the researcher here. Researchers here chose to make the model using  Long Short Term Memory (LSTM) model with 200 epoch for the training. For the dataset, the researcher used web scraping. The dataset contains 180 Indonesian destinations from nine provinces. For the libraries, researchers used  tensorflow, keras, numpy, and matplotlib. To download the model in json format, the researcher used tensorflowjs. Then for the tool to code, the researcher used Google Colab. The last result is 8ms/step, loss: 55%, and accuracy: 75% which means it’s good enough and can be used to predict next words.
NEXT WORD PREDICTION USING LSTM Afika Rianti; Suprih Widodo; Atikah Dhani Ayuningtyas; Fadlan Bima Hermawan
Journal of Information Technology and Its Utilization Vol 5 No 1 (2022)
Publisher : Sekolah Tinggi Multi Media "MMTC" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.5.1.4748

Abstract

Next word prediction which is also called as language modelling is one field of natural language processing that can help to predict the next word. It’s one of the uses of machine learning. Some researchers before had discussed it using different models such as Recurrent Neural Networks and Federated Text Models. Each researcher used their own models to make the prediction and so the researcher here. Researchers here chose to make the model using  Long Short Term Memory (LSTM) model with 200 epoch for the training. For the dataset, the researcher used web scraping. The dataset contains 180 Indonesian destinations from nine provinces. For the libraries, researchers used  tensorflow, keras, numpy, and matplotlib. To download the model in json format, the researcher used tensorflowjs. Then for the tool to code, the researcher used Google Colab. The last result is 8ms/step, loss: 55%, and accuracy: 75% which means it’s good enough and can be used to predict next words.
Co-Authors Abdillah, Shelya Putri Nurhaliza Afika Rianti Al Fayumi, Muhamad Fauzan Andrian, Rian Artanti, Freda Desfita Ashila, Annisa Nur Atikah Dhani Ayuningtyas Aulia Sodikin, Reisa Ayi Suherman Baihaqi, Shidqi Ahmad Budiarti, Miladi Rizkyah Chairunnisa, Ananda Alma Cilviani, Cindy D. Wahyudin, D. Dian Permata Sari Endah Setyowati Fadhilah, Iffah Fadlan Bima Hermawan Fajriansyah, Muhammad Azra Fauzi Ahmad Muda Fikri, Jidan Galura Muhammad Suranegara Gulo, Kurnia Mayestic Hamidah, Hani Haury, Ahmad Musyadad Hikmawan, Rizki Iqbal, Arifal Muhamad Kartikasari Kartikasari, Kartikasari Ladayya, Ulfa Myrna Dwi Rahmatya Nahrowi Adjie Nuriyah Musyafa, Wigi Nuur Wachid Abdul Majid Oktafiani, Wilda Oktaviani, Oriza Mutia Perdana, Cilma Fresha Perdana, Zia Imam Pratiwi, Irra Puji Rahayu Putri Alina Sidik, Legira Putri, Regina Aulia Ramarumo, Tshepo Rizal, Muhamad Fahmi Sanjaya, Miftahul Donny Sari, Dian Pemata Septiadi, Jaka Septianiady, Septianiady Setyawan, Kornelius Rhesa Valdis Siti Hodijah Sodikin, Reisa Aulia Solekha, Solekha Solihat, Sinta Syawalido, Luky Tanjung, Firda Rosiana Wachid Abdul Majid, Nuur Wicaksono, Mochamad Fajar Yulistia, Tia Fuja Yuniar, Rani Zarkasih, Aqmal Idris