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Implementasi Framework Laravel Pada Aplikasi Godebook Berbasis Website Dengan Metode Extreme Programming Di Gify Tech Apriwinda Rahmayani; Mochamad Adhari Adiguna
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 2 No. 3 (2024): SEPTEMBER
Publisher : PT Triputra Sejahtera Prima

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Abstract

This research discusses the implementation of the Laravel framework in developing web-based GodeBook applications using the Extreme Programming (XP) method at Gify Tech. GodeBook is an application designed to provide a platform for users to access and share e-books. The XP method is used to ensure software development that is adaptive and responsive to changing user needs. This research covers the stages of application development, from planning to testing, with the application of XP principles such as intensive communication, continuous testing, and incremental development. The Laravel framework was chosen because of its advantages in simplifying the web development process, providing an organized structure, and supporting good development practices. The results of this implementation are expected to increase development efficiency, quality and reliability of the GodeBook application. By using XP and Laravel, it is hoped that we can overcome software development challenges in a more collaborative, responsive and adaptive way.   Keywords: Laravel Framework, GodeBook Application, Extreme Programming (XP) Method, Collaborative, Responsive, Adaptive, Efficient.
ARTIFICIAL INTELLIGENCE DALAM KESEHATAN DAN KESELAMATAN KERJA DI BIDANG KELISTRIKAN Sofyan Mufti Prasetiyo; Apriwinda Rahmayani; Auli Melania
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Artificial intelligence has become one of humanity's greatest technological inventions. With artificial intelligence, human work becomes easier. Artificial intelligence can be a factor in progress in the electricity sector, especially in terms of security. One of the functions of developing artificial intelligence in Occupational Health and Safety (K3) is in detecting hazards, such as detecting workers who have not used Personal Protective Equipment (PPE) by using technology such as Neural Networks, Computer Vision, and Object Recognition or detecting land conditions that are will be used for Grounding with Fuzzy Logic. This is expected to reduce the risk of hazards in the work environment.