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Journal : liaison journal of engineering

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Telaah Bisnis Penerbangan Komersial Di Indonesia Setelah Terbit UU Penerbangan No.1/Th 2009 arista atmadjati; normalisa
Liaison Journal of Engineering Vol. 2 No. 2 (2022): Vol 2, No 2, Desember 2022
Publisher : Liaison Journal of Engineering

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After the launch of aviation law number 1 of 2009 by the government, of course, the hope of the Indonesian people that the atmosphere of commercial flights in Indonesia will be increase and guaranteed that the safety factor will improve and be accompanied by an increasingly better quality of service in accordance with the spirit of the consumer protection law number 1 of 1999. Consumer rights are the most Priority in the issuance of aviation law. Many airlines ignored the issue of long delays, changing flight schedules, and lost passengers' items of baggage as well. With the aviation law 1/2009, it is hoped that all of the above problems will subside because if the airline is reputable, it can be subject sanctions up to the heaviest revocation of flying permits for certain, fatal revocation of the Air Operator Certificate. However, since the issuance of Law 1/2009, the government has also been miss conduct by the bankruptcy of the state-owned airline Merpati Nusantara, which should have been avoided. We hope that all of us stakeholders of aviation in Indonesia will become loyal customers to board the Indonesia domestic airlines as their choosing transport and the airlines can improve the level of service and maintain the level of safety.Keywords: keep safe flights, serve customers, keep the fleet growing increase
The Development of Covid-19 Dashboard Application for Monitoring the Covid-19 Infections in Indonesia abraham mahanaim; salma aziizah novrian; normalisa
Liaison Journal of Engineering Vol. 3 No. 1 (2023): Volume III
Publisher : Liaison Journal of Engineering

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In this Era where global pandemic is rampant, there is a need for accurate and up-to- date information for people to know, understand and monitor the movement of the virus. This abstract will explain about COVID-19 Dashboard app design to visualize the COVID-19 infection data, this dashboard can be used to monitor and also analyze pandemic impact in Indonesia. This app uses COVID-19 csv data sourced from trusted Indonesian Organization to present reliable data so the app can present statistical data such as the number of confirmed cases, deaths, recoveries, and other insight related to pandemics. By using interactive sidebars users can explore the data or change the type of graphs. This app aims to be able to help individuals, travelers, healthcare professionals, and others to gain insight regarding pandemic situations in Indonesia and also hopefully increase the situational awareness of each individual. Keywords: Covid-19; Monitor Dashboard; Paper; University Liaison Indonesia
Identifying How Any Interface Elements Are Created in The Gamemaker Engine jibran prawiko; normalisa; pradana atmadiputra
Liaison Journal of Engineering Vol. 3 No. 1 (2023): Volume III
Publisher : Liaison Journal of Engineering

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Abstract

A GUI, whether well or badly designed, is one of the most important requirements for any video game. The role of a GUI is to present the player with their in-game character’s current status, whether it’s the number of ammunitions of a weapon, the current active quest, or the player’s current location within the game’s map. Creating GUI elements should be one of the first guides that are taught after a GameMaker tutorial provides a guide on creating a camera object. The creation process of a GUI element can be divided into two parts; its positioning and functionality. In theory, simplifying the development process, in this case the algorithm, for creating GUI elements is possible, mainly by categorizing every GUI element based on what they are presenting to the player. Developers could then create the same algorithm for every element that falls in one category, thus simplifying the development process. Keywords: GUI elements, game development, simplification, categorization.
Deep Learning : Image Analysis and Transferable Knowledge in Computer Vision nurafi chandra, zahran; normalisa
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
Publisher : Liaison Journal of Engineering

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This short paper gives an overview of deep learning in computer vision with a focus on information that can be used in other situations. It shows how neural networks, especially Convolutional Neural Networks (CNNs), can learn on their own and compares them to older computer vision methods. It looks at the history of evolution, including important events like the 2012 ImageNet Competition and ground-breaking networks like ResNet, VGGNet, AlexNet, and GoogLeNet. In the paper, real-life examples from healthcare, self-driving cars, and security are used to show how deep learning has changed picture analysis. Deep learning architectures, including CNNs and RNNs, are talked about in depth, including important parts like filters, stride, and activation functions. Transfer learning is presented as an important method, and its three types are grouped: fine-tuning, feature extraction, and domain adaptation. It is emphasized that transfer learning has many benefits, such as better generalization, faster convergence, and more efficient use of data. The conclusion stresses how important transfer learning and fine-tuning are for making computer vision apps better. It shows how important it is to understand deep learning models and how they can be used in real life, as well as how they affect accuracy, efficiency, and generalization in the field of computer vision. Keywords: Deep Learning, Computer Vision, Neural Network, Convolutional Neural Networks, ImageNet.
Advancement in computer vision: Unveiling the spectrum of possibilities naufal azzam, julian; normalisa
Liaison Journal of Engineering Vol. 3 No. 2 (2023): Vol III
Publisher : Liaison Journal of Engineering

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This article provides a comprehensive overview of the rapidly growing field of computer vision, tracing its historical origins, outlining fundamental principles, examining industry applications, addressing ethical challenges, and providing an outlook on future directions. Key topics include image processing techniques, feature extraction, pattern recognition, neural networks, use cases in areas such as healthcare and transportation, bias and privacy considerations, as well as new research in explainable artificial intelligence and multi-modal learning. This analysis outlines how computer vision is transforming human-computer interaction by improving visual perception and understanding while emphasizing the need for responsible and transparent development. Keywords: Computer Vision, Image Processing, Neural Network, Artificial Intelligence, Multi-modal Learning.
Enhancing Sportirena testing through custom Selenium Automation tools for PT Technova naufal azzam, julian; atmadiputra, pradana; normalisa
Liaison Journal of Engineering Vol. 4 No. 1 (2024): Vol 4
Publisher : Liaison Journal of Engineering

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This research paper, entitled "Improving the Testing of Sportirena through Personalized Selenium Automation Tools," highlights the urgent requirement for automated testing within the Sportirena platform. In a similar manner to enhancing fire resistance in composite sandwich panels, which aims to strengthen against potential dangers, our investigation concentrates on enhancing the reliability of Sportirena's application. We have developed customized automation tools, comparable to the addition of fire retardants, utilizing Selenium, with a specific focus on user authentication. The results demonstrate significant improvements in testing efficiency, coverage, and defect detection when compared to manual techniques. The insights obtained from existing literature support our findings and validate the chosen methodology. By drawing parallels between fire resistance in composite panels and automated testing in Sportirena, this study contributes to the overall objective of ensuring safety and resilience in intricate systems. Keywords: testing, efficiency, coverage, and defect detection.
Front-End Internship Journal: Enhancing UI and Implementing User Analytics with Reactjs and Chartjs in Property Business Admin Portal wiratmaja, yumna; atmadiputra, pradana; normalisa
Liaison Journal of Engineering Vol. 4 No. 1 (2024): Vol 4
Publisher : Liaison Journal of Engineering

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Abstract

This paper presents an overview of the author's internship experience at Astra Property, focusing on front-end development tasks undertaken within the admin portal project. The author discusses the practical application of software engineering principles and methodologies, with a particular emphasis on agile methodology facilitated by Jira software utilising Kanban methods. Tasks executed during the internship include refining sorting systems, implementing advanced features such as the Daily Active Users dashboard using Chart.js, and collaborating with colleagues to optimise user interface design. Through a systematic approach to project management and iterative development processes, the author has produced an enhanced user experience through design revamp and improved task efficiency with quick links applied. This experience serves to deepen the author's understanding of front-end development practices and underscores the importance of continuous learning and adaptation in the software engineering domain. Keywords: Agile Methodology, Admin Portal, Reactjs, Ant Design, Chartjs
Co-Authors abraham mahanaim Achmad Fatoni, Achmad Agus Herdiyanto Aldy Pura Dicki Alamsyah Alvino Octaviano arista atmadjati atmadiputra, pradana Hidayatullah, Achmad Syauqii Imam Maulana jibran prawiko jihan angrila Joko Priambodo Munawaroh naufal azzam, julian Neno Ruseno nurafi chandra, zahran Perani Rosyani pradana atmadiputra salma aziizah novrian sudjiran Sunarto Usna Triyana, Yudi victor hugo cahyo wiratmaja, yumna Yulianti Zulfikar, Ahmad Fikri