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All Journal International Journal of Computer and Information System (IJCIS) International Journal of Multidisciplinary Sciences and Arts Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Information Systems Management and Digital Business Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET)
Putri Ariatna Alia
Universitas Anwar Medika
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Jurnal Rekayasa Sistem Informasi dan Teknologi

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LITERATURE REVIEW: LUNG DISEASE DETECTION BASED ON X-RAY USING ARTIFICIAL INTELLIGENCE Ariatna Alia, Putri
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 2 (2023): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i2.152

Abstract

According to a WHO survey in 2019, 4 of the 10 most common diseases that kill people are lung disease. Lung disease is a significant problem for all of us, but until now there has not been found an effective drug to detect it earlier, so that in general lung disease is diagnosed in a severe condition. One example of a lung disease taken as a sample is pneumonia. This research aims to develop a method that is faster and more accurate in detecting individuals infected with pneumonia by using Artificial Intelligence, especially by using Convolutional Neural Network (CNN) architecture in its learning. The research method used in this study is literature review, in which related articles are collected and processed using the Mendeley application. The criteria used in the selection of articles were articles published in 2020 which discussed the use of Artificial Intelligence in treating pneumonia. Based on the collection and discussion of several existing studies, it can be concluded that by using an Artificial Intelligence system, pneumonia detection in individuals can be carried out through pattern analysis on Lung X-ray results with a high degree of accuracy, using existing training data
Literature Review: Manajemen Layanan Teknologi Informasi dengan Framework Information Technology Infrastructure Library (ITIL) di Indonesia Prayogo, Johan Suryo; Alia, Putri Ariatna; Setyadi, Agung Teguh; Setyawan, Agung Budi
Jurnal Rekayasa Sistem Informasi dan Teknologi Vol. 1 No. 2 (2023): November
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jrsit.v1i2.212

Abstract

Penerapan Framework Information Technology Infrastructure Library (ITIL) dalam Manajemen Layanan Teknologi Informasi (ITSM) di Indonesia. Melalui tinjauan tren penelitian terkini, sehingga memperoleh manfaat. Penelitian ini memberikan wawasan penting untuk pemahaman lebih lanjut tentang efektivitas Information Technology Infrastructure Library (ITIL) dalam mendukung pengelolaan sistem layanan teknologi informasi di lingkungan bisnis Indonesia. Manfaat penerapan Information Technology Infrastructure Library (ITIL) tergambar melalui peningkatan dalam sistem pelayanan kepada pelanggan dam penanganan keluhan dari pelanggan dapat diselesaikan dengan waktu yang lebih cepat. Information Technology Infrastructure Library (ITIL) membantu organisasi untuk lebih responsif terhadap perubahan teknologi dan pasar, menghasilkan lingkungan IT yang lebih adaptif. Tren penelitian menyoroti perkembangan terbaru dalam penerapan Information Technology Infrastructure Library (ITIL) di berbagai sektor industri di Indonesia. Hasil penelitian menunjukkan bahwa semakin banyak organisasi yang menggunakan pendekatan Information Technology Infrastructure Library (ITIL) untuk meningkatkan sistem pelayanan kepada pelanggan, penanganan keluhan dari pelanggan dapat diselesaikan dalam waktu yang lebih cepat. Keywords:, Information Technology Infrastructure Library, Manajemen Layanan TI.
Co-Authors Agung Budi Setyawan, Agung Budi Alfanio Atmoko, Rizky Anita Farida, Elis Bernadus Gunawan Sudarsono Cahyono, Warna Agung Dian Kartika Sari Fahruddin, Agus Fathoni, Mohammad Febriana, Rusina Widha Kartiko, Erik Yohan Kriswibowo, Rony Lieztyanto, Yeeryzkhe Githasari Meisyarani, Jihan Salsabila Mufid, Mohammad Robihul Nur Azis Prayogo, Johan Suryo Purwo Agus Sucipto Rony Kriswibowo Sani, Rosi Rijal Selfya Ningrum Setyadi, Agung Teguh Shodikin, Mohamad Suryo Prayogo, Johan Teguh Setyadi, Agung