This study aims to evaluate and compare the performance of the Random Forest, Bidirectional Long Short-Term Memory (BiLSTM), and Isolation Forest algorithms in detecting anomalies in rainfall data, as well as to implement these methods in a web-based monitoring system.
R. Arista, Adi Widiatmoko Wastumirad, Marzuki Sinambela et al.· Micronic: Journal of Multid...· 0 citations
An automatic soil moisture and pH monitoring and control system based on the Internet of Things has been designed and constructed and the physical growth of spinach plants in the automated control area proved to be much healthier compared to conventional maintenance methods.
Adjie Pramudya Wardhani, Anton Widodo· Internet of Things and Artif...· 0 citations
The ESP32-based rainwater quality monitoring system successfully measures pH, TDS, and temperature in real-time during rainfall, and shows different patterns of variation according to the characteristics of each rainfall event.
Fachrul Rizky Syaputra, Anton Widodo· Internet of Things and Artif...· 0 citations
Autonomous marine Internet-of-Things (IoT) platforms must preserve sensing and telemetry functions under a limited and weather-dependent energy supply. This paper develops an energy-aware power-management assessment for a multi-parameter smart buoy using only the implemented design parameters and field records of the p...
Dimas Aditya Wiranata, Anton Widodo· Internet of Things and Artif...· 0 citations
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