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All Journal Jurnal Pemberdayaan Masyarakat Universitas Al Azhar Indonesia IAIC Transactions on Sustainable Digital Innovation (ITSDI) Petanda : Jurnal Ilmu Komunikasi dan Humaniora Journal of Computer Science and Technology Application
Fazri, Muhammad Faizal
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Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : IAIC Transactions on Sustainable Digital Innovation (ITSDI)

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Study of Kumaon Language for Natural Language Processing in End-to-End Conversation Scenario Rawat, Bhupesh; Bist, Ankur Singh; Mehra, Nidhi; Fazri, Muhammad Faizal; Terah, Yochebed Anggraini
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.534

Abstract

Natural language processing is one of the essential activities of artificial intelligence. There is an excellent need for chatbots that require integration into artificial intelligence applications. The local language makes the process easier. Our research aims to analyze the possibilities and challenges of implementing a chatbot in the Kumaon language. We also provide a detailed survey of the Kumaon language and map it to other languages to make it easier to process it for industrial use. This chatbot can help with various needs and services in the Kumaon language. The method used in this research is a study analysis of the Kumaon language to deal with language extinction. The novelty in this research is a chatbot in the Kumaon language with end-to-end encryption so that the service user has good security.
Implementing Artificial Intelligence to Reduce Marine Ecosystem Pollution Fazri, Muhammad Faizal; Lintang Bayu Kusuma; Risa Burhani Rahmawan; Hardiana Nur Fauji; Castarica Camille
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 4 No 2 (2023): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v4i2.579

Abstract

Industrial growth has a positive impact because it brings prosperity to humans. But on the other hand, it also has a negative effect, mainly due to industrial pollution produced. The pollution impacts environmental damage, one of which is the marine environment. This damage can be reduced by increasing understanding of the marine environment by monitoring it using technology. Although efforts have been made to monitor the marine environment, there are difficulties interpreting the large amount of data collected. To overcome these obstacles, we need technology that can process big data. One of the technologies that can be used is Artificial Intelligence which will be discussed in this study. This study aims to provide further understanding regarding the application of Artificial Intelligence to monitor the marine environment. This study uses a literature review method from several studies related to Artificial Intelligence. The final result of this study explains the potential and impact of applying Artificial Intelligence in reducing pollution of the marine environment sustainably. Although there have been many efforts to monitor the ocean for pollutants remotely, classifying the data is challenging because of the high volume of data. Therefore, the novelty of this research is to discuss a use case of a new approach to monitoring the ocean with the help of Artificial Intelligence. This research is expected to be motivated to develop better solutions in overcoming marine environment pollution using Artificial Intelligence technology.
Co-Authors Apriliasari, Dwi Bist, Ankur Singh Cahya, Mochamad Robby Fajar Castarica Camille Dewi, Sari Amalia Elis Teti Rusmiati Filda Angellia Fitzroy, Arabella Gustina, irwanti Hardiana Nur Fauji Iswahyu Pranawukir Julianingsih, Dwi Lintang Bayu Kusuma Mehra, Nidhi Rahmadi, Muhamad Hanan Ramadhan, Tarisya Rawat, Bhupesh Risa Burhani Rahmawan Terah, Yochebed Anggraini Winata, Nanda Putu