https://ijerat.com/index.php/ijerat/issue/feed International Journal of Engineering Research and Advanced Technology - IJERAT (ISSN: 2454-6135) 2020-05-15T18:10:02+08:00 Sretechjournal Publications editorijerat@gmail.com Open Journal Systems <p>The <strong>International Journal of Engineering Research and Advanced Technology</strong> (IJERAT) was founded with a mission to develop a reliable platform and to provide unrestricted access to scientific literature for rapid dissemination of recent updates in various disciplines of Science, Engineering, and technology. Readers can have access with no cost (Open Access) and avail the facility to enrich their scientific understanding <strong>International Journal of Engineering Research and Advanced Technology</strong>The in the relevant topics.</p> <p> </p> <p><strong>Call for Papers Vol 6, Issue 6 June 2020</strong></p> <p>Last Date of submission: <strong>20th June 2020</strong></p> <p>Download: <a href="https://drive.google.com/open?id=1FJkHwqjTxoLAW2sKgsKxeFRSGTlgRcWP" target="_blank" rel="noopener">Paper Template</a></p> <p>Email: editorijerat@gmail.com</p> https://ijerat.com/index.php/ijerat/article/view/424 ARTIFICIAL INTELLIGENCE IN CYBERSECURITY 2020-05-03T06:09:24+08:00 Matthew N. O. Sadiku omobayode.fagbohungbe@gmail.com Omobayode Fagbohungbe omobayode.fagbohungbe@gmail.com Sarhan M. Musa omobayode.fagbohungbe@gmail.com <p>Cybersecurity is the process of protecting computer networks from cyber attacks or unintended unauthorized access. &nbsp;It is the need of the hour. Organizations, businesses, and governments need cybersecurity solutions because cyber criminals pose a threat to everyone. Artificial intelligence promises to be a great solution for this. By combining the strength of artificial intelligence with cybersecurity, security experts are more capable to defend vulnerable networks and data from cyber attackers. This paper provides an introduction to the use of artificial intelligence in cybersecurity.</p> 2020-05-15T00:00:00+08:00 Copyright (c) 2020 Omobayode Fagbohungbe, Matthew N. O. Sadiku, Sarhan M. Musa https://ijerat.com/index.php/ijerat/article/view/426 Analysis of Lean and Green Drivers for Sustainable Cosmetics SMIs Using Interpretive Structural Modelling (ISM) 2020-05-15T18:10:02+08:00 Uly Amrina ulyamrina79@gmail.com Adriyani Oktora aoktora1@gmail.com <p><em>This study aims to identify the lever integration factors of lean and green in achieving sustainable Small and Medium Industries (SMIs) cosmetics using Interpretive Structural Modelling (ISM). The sustainable development of Cosmetics SMI grouped into four dimensions, namely the dimensions of manufacturing operations and the economy as part of the lean principle, the environment, and social consciousness as indicators of the green concept. The four dimensions described into 17 lean and green trigger factors based on literature studies and interviews of 5 experts. This study explores the conceptual relationship between the seventeen drivers by using a questionnaire and modeling it in the form of an ISM hierarchy model. Based on MICMAC analysis, HR welfare factors influence elements of soundness level and encourage the performance of manufacturing operation and environment factors. In the end, the relationship between lean and green factors will increase the SMIs Cosmetics income in micro and national tax revenue in macro. This study also proposes four strategies to be carried out by the SMIs owner-manager to improve the performance of lean and green</em></p> 2020-05-28T00:00:00+08:00 Copyright (c) 2020 Uly Amrina, Adriyani Oktora