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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Brilliance: Research of Artificial Intelligence
Sarosa Castrena Abadi
Politeknik Manufaktur bandung, Indonesia
Decision Sciences, Operations Research & Management Mathematics Other

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Soil Health Data Acquisition System with Augmented Reality (AR) Features: Innovation in Sustainable Plantation Management Sarosa Castrena Abadi; Siti Aminah; Cepi Ramdani
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7548

Abstract

Plantations in West Java are vital to Indonesia’s agricultural economy, yet they face significant challenges in efficient and real-time soil monitoring due to reliance on conventional, labor-intensive methods. This study aims to develop a distributed soil health data acquisition system integrated with Augmented Reality (AR) visualization to enable intuitive, real-time access to key soil parameters specifically moisture, pH, and NPK (Nitrogen, Phosphorus, Potassium) levels without manual sampling. The system employs a multi-hop LoRa-based wireless sensor network comprising two sensor nodes and a master gateway. Node 2 collects soil nutrient data and relays it to Node 1, which aggregates it with environmental data before forwarding the payload to the gateway. The gateway publishes the consolidated data to an MQTT broker, which feeds both a Firebase database and a Unity-based AR application. System performance was evaluated through field tests measuring latency, packet loss, and AR rendering accuracy across ten data batches. The system achieved stable communication with an average end-to-end latency of 3.00–3.40 ms and successfully visualized soil metrics in real time through the AR interface. Although minor packet loss (up to 20%) occurred in later test batches, data integrity remained sufficient for monitoring non-rapidly changing soil conditions. The integration of LoRa multi-hop communication and AR provides a robust, scalable framework for real-time soil monitoring, offering a practical foundation for future smart agriculture systems in plantation environments.
Street Lighting Design with IoT-Based Energy Management in Cibuluh Village Sarosa Castrena Abadi; Danu Jaya Saputro; Muhammad Nursyam Rizal; Anggraeni Mulyadewi; Ega Mardoyo
Brilliance: Research of Artificial Intelligence Vol. 6 No. 1 (2026): Brilliance: Research of Artificial Intelligence, Article Research May 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i1.7853

Abstract

This study presented the design and implementation of an Internet of Things–based public street lighting system with energy management in Cibuluh Village, Tanjung Siang District, Subang Regency. The project aimed to improve lighting reliability in areas with limited grid access while reducing energy consumption and operational costs. The system employed solar panels as the primary energy source, battery storage, and light-emitting diode lamps equipped with smart dimming features. This approach enhances system autonomy, minimizes maintenance requirements, increases operational efficiency, ensures consistent illumination quality, and provides a scalable model suitable for broader rural infrastructure deployment nationwide. Energy management was achieved through the integration of light-dependent resistor and passive infrared sensors to adapt lamp brightness based on environmental light conditions and road activity. Electrical parameters, including voltage, current, and power, were monitored using a direct current power measurement module and transmitted via long-range wireless communication to a centralized database. Data visualization was provided through a real-time monitoring dashboard. The system was developed using the ADDIE research and development model and was implemented directly in the village environment. Evaluation results showed stable electrical performance, effective energy savings, reliable data transmission in hilly areas, and improved sustainability of street lighting operations. The proposed system demonstrated its suitability as an efficient and autonomous public lighting solution for rural areas.
Co-Authors Anggraeni Mulyadewi Cepi Ramdani Danu Jaya Saputro Ega Mardoyo Muhammad Nursyam Rizal Siti Aminah