MALCOM is an Indonesian journal publishing cutting-edge research in Machine Learning and Computer Science. Discover innovations, theories, and applications.
This study presents a mobile-based road damage detection system using Teachable Machine and TensorFlow Lite to support real-time monitoring and efficient infrastructure maintenance. The system identifies road damage types such as cracks, potholes, an...
Internet of Things (IoT)-based air quality monitoring systems represent a significant advancement in urban environmental management. This research implements a system that integrates PM2.5, PM10, CO2, and NO2 sensors for real-time monitoring of pollu...
The retail industry faces significant challenges in understanding increasingly complex customer behavior due to massive data growth. One major obstacle is suboptimal customer segmentation, leading to ineffective marketing strategies. This study aims...
Effective inventory control is essential in optimizing profitability through cost control and efficiency expectations. Conventional inventory techniques frequently find it difficult to adjust to the fast-changing restaurant setting, resulting in surp...
BuatEvent.id leverages an AI-driven platform for event planning, powered by Gemini.ai—a sophisticated NLP model with an accuracy rate of 92.5%. The system integrates multiple technologies, including PHP, Python, Golang, Flutter, and MySQL, to automat...
Reading a doctor's handwritten prescription is a challenge faced by most patients and some pharmacists, which in some cases can lead to negative consequences due to misinterpretation of the prescription. The "Doctor's Handwritten Prescription BD Data...
By Sciaria
By Sciaria
By Sciaria
By Sciaria
By Sciaria
By Sciaria