Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Rumpun Ilmu Teknik Intelligent Systems and Robotics
Sarah Anjani
Universitas Pamulang
Computer Science & IT Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Development of an Intelligent Embedded Cyber Physical System Integrating Edge AI and Low Power Sensor Networks for Adaptive Environmental Monitoring and Robotic Control Hayadi Hamuda; Sarah Anjani; Lailatun Adzimah
Intelligent Systems and Robotics Vol. 1 No. 1 (2026): February: Intelligent Systems and Robotics
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/isr.v1i1.40

Abstract

Recent advancements in environmental monitoring and robotic control demand systems that are capable of real-time responsiveness, energy efficiency, and reliable operation in dynamic and resource-constrained environments. Conventional cloud-centric cyber-physical system (CPS) architectures often suffer from high latency, continuous connectivity dependency, and increased energy consumption, limiting their suitability for time-critical monitoring and adaptive control applications. To address these challenges, this study proposes an intelligent embedded cyber-physical system integrating Edge AI, low-power sensor networks, and adaptive robotic control for environmental monitoring. The proposed architecture relocates data processing and decision-making closer to the data source, enabling real-time inference, reduced communication overhead, and enhanced system autonomy. The research adopts a design-oriented experimental methodology involving system architecture design, lightweight Edge AI model development, prototype implementation, and performance evaluation under realistic operating conditions. Experimental results demonstrate that the proposed edge-based CPS significantly reduces end-to-end latency and energy consumption while maintaining acceptable inference accuracy compared to cloud-based processing. Furthermore, the system achieves improved communication efficiency and higher operational reliability, particularly under intermittent network connectivity. The findings highlight that embedding intelligence at the edge enables closed-loop sensing, decision-making, and actuation, which is essential for adaptive robotic control in environmental monitoring scenarios. This study contributes a system-level perspective on Edge AI–enabled CPS design and provides empirical evidence supporting the transition from cloud-centric architectures toward distributed, energy-aware, and resilient cyber-physical systems for real-time monitoring and control applications.
Sistem Monitoring dan Kendali Kipas Otomatis Berbasis IoT pada Kandang Ayam Syahrul Ramadan; Angelina Hadriani; Sarah Anjani; Salma Nofri Yanti
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6847

Abstract

Temperature and humidity management in poultry houses is an important factor in maintaining suitable environmental conditions for poultry farming. This study was conducted at Hasan Farm, located in Kampung Cimuncang Cilik, Cimuncang Village, Serang District, Serang City, Banten Province. The operation of ventilation fans at the research site was still performed manually, resulting in suboptimal responses to temperature changes, while direct monitoring of the poultry house was inefficient in terms of time and labor. This study aims to design and implement an Internet of Things (IoT)-based automatic fan control system capable of monitoring and controlling poultry house conditions in real time. The system uses an ESP32 as the central controller, a DHT22 sensor to measure temperature and humidity, an HC-SR04 ultrasonic sensor to detect distance, a 4-channel relay module to control the actuators, a 16×2 I2C LCD for local display, and the Blynk application for monitoring, remote control, and notifications. Sensor data are processed by the ESP32 to automatically activate the fan when the temperature reaches or exceeds 30°C, while the lamp is controlled manually through Blynk. Test results show that the system can display temperature, humidity, and distance data in real time through the LCD and Blynk, control the relay, fan, and lamp according to the operating mode, and send notifications when the temperature exceeds the specified threshold. The system can effectively, efficiently, and responsively support integrated monitoring and control of poultry house conditions, thereby contributing to improved poultry farm productivity.
Co-Authors Angelina Hadriani Hamuda, Hayadi Lailatun Adzimah Salma Nofri Yanti Syahrul Ramadan