Disease detection in rice plants at the Padang Lawas District Agriculture Service is carried out every year by collecting data from the Agriculture Service. Therefore, it is necessary to carry out classification to de...
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Autism spectrum disorder (ASD) is a neurobiological developmental disorder that affects communication and social interaction. Autistic children often have difficulty communicating effectively, both verbally and nonver...
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One of the critical visual components in video game creation is 3D asset prototypes, which also require significant effort. A procedural model using the L-system method for making low-poly buildings can address this i...
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Text data augmentation has been able to improve the performance of models or algorithms for text classification and sentiment analysis. In major cases, rule-based augmentation techniques can be easily applied to vario...
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It can be argued that the Convolutional Neural Network (CNN) used in this research is an efficient algorithm for classifying images based on the end prediction of the path taken. In every plot that is made, there is a...
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Efficient communication plays a pivotal role in the success of university community service programs. This study highlights the innovative approach taken by the University of Riau to enhance communication within their...
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Artificial intelligence was recently implemented in various fields. One of these applied artificial intelligence systems was the Performance Monitoring System "SiMoniK"for MSMEs. This system was designed thr...
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Visual impairment is a condition that affects the sense of sight. In Indonesia, around 1.5% of the 4 million people are blind. In their daily activities, the visually impaired rely on their sense of touch to recognize...
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Universitas Potensi Utama has various studyprograms, and also has various facilities to support student learning activities. However, the main obstacle in higher education is the uncertainty of the interest of studen...
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Machine learning has been employed to automatically detect the defects on car engines in several studies. One of crucial challenges on applying machine learning is on the amount of defect data collected is often large...
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