Abstract: Waste management presents a significant challenge in ensuring environmental sustainability, requiring an automated classification system to improve efficiency. This study designs a waste classification system (biological, electronic, glass, plastic) using a deep learning approach based on computer vision. The proposed method implements a custom...

Abstract: Game descriptions on digital distribution platforms play a crucial role in conveying the characteristics of gameplay to players. However, the language complexity of these descriptions varies and may influence players' understanding of the gameplay being offered. This study aims to classify gameplay complexity based on sentence structure in game...

Abstract: Water is a highly valuable and limited natural resource. To increase awareness of the global water crisis, it is important to minimize water wastage. With a water flow monitoring system, water resource management can be carried out more efficiently while ensuring fair water distribution. In this research, problems are often encountered in...

Abstract: Indoor air quality is an important factor affecting human comfort, health, and productivity, especially in enclosed spaces with high usage intensity, where temperature and humidity serve as primary indicators of environmental conditions. This study aims to design and implement a real-time Internet of Things (IoT)-based temperature and humidity...

Abstract: The advancement of technology has driven the use of social media to promote products, including in the building materials industry. To address this, the author designed a website e-catalog as a solution for promoting building materials products. This website serves as a sub-website of the KatalogQU platform at PT. Era Cipta Digital, featuring a...