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All Journal Brilliance: Research of Artificial Intelligence SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Andi Ahmad Dahlan
Politeknik Negeri Padang, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Other

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IoT-Based Rainfall Monitoring System for Chili Farming Land Rahmadani Putri; Ratna Dewi; Silfia Rifka; Sri Nita; Andi Ahmad Dahlan
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3649

Abstract

This research focuses on the design and implementation of a rainfall monitoring system for chili pepper farms using Internet of Things (IoT) technology. The rainfall monitoring system consists of a transmitter system, a receiver system, the Thingspeak platform as a database, and a weather station application that can be accessed via a mobile device. The weather station application is built using the MIT App Inventor platform. In the testing phase, the system successfully collected data from two sensors used, namely the rainfall intensity sensor and the raindrop sensor. The test results showed that the data obtained from the rainfall intensity sensor was 0.25 inches and the raindrop sensor was 1. This result shows that there was no rain during the test. This rain intensity and raindrop data can provide farmers with an overview of the weather conditions in the chili pepper farm. So, with this rainfall monitoring system, farmers can monitor the condition of their agricultural land in real-time. The collected data can help farmers to care for chili pepper plants more effectively and adapt to environmental changes. In addition, this system is expected to increase the productivity of chili pepper farming because it uses a more precise and responsive approach to changes in environmental conditions on the chili pepper farm.
KAJIAN LITERATUR PERBANDINGAN TEKNOLOGI LORAWAN DAN NB-IOT PADA SISTEM SMART AGRICULTURE BERBASIS INTERNET OF THINGS Raihan Riyon Pratama; Andi Ahmad Dahlan; Ramiati Ramiati; Yulindon Khaidir
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 2 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i2.272

Abstract

The development of the Internet of Things (IoT) has encouraged the implementation of smart agriculture systems through the integration of sensors, communication technologies, and automated monitoring systems. Communication technology plays an important role in supporting long-range data transmission with low power consumption and efficient implementation costs. Two Low Power Wide Area Network (LPWAN) technologies widely used in IoT-based smart agriculture are LoRaWAN and Narrowband Internet of Things (NB-IoT). This study aims to analyze and compare the characteristics, performance, advantages, limitations, and implementation of LoRaWAN and NB-IoT through a literature review approach. Scientific articles published between 2021 and 2026 were collected from Google Scholar, IEEE Xplore, ScienceDirect, MDPI, and Springer. The analysis focused on communication coverage, power consumption, latency, scalability, infrastructure requirements, implementation costs, reliability, and suitability for smart agriculture. The results show that LoRaWAN is more suitable for low-power and low-cost monitoring systems, while NB-IoT provides better communication stability and quality of service for real-time applications.
ARSITEKTUR CLOUD NETWORKING UNTUK MIGRASI INFRASTRUKTUR TELEKOMUNIKASI KE PUBLIC CLOUD: TINJAUAN SISTEMATIK Sultha Redysa; Andi Ahmad Dahlan; Yulindon Yulindon
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 2 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i2.277

Abstract

This study examines the transformation of telecommunication network architectures toward public cloud environments through a cloud networking approach. Although technologies such as Network Function Virtualization (NFV), Software Defined Networking (SDN), edge computing, and virtualization have developed rapidly, the integration of cloud networking architectures capable of supporting comprehensive multi-domain communication remains limited. This research employs a Systematic Literature Review (SLR) of publications from 2020–2024 to identify development trends, challenges, and research gaps in cloud networking architectures. The analysis indicates that multi-domain interconnection, particularly communication among cloud, edge, and virtual networks, remains a major unresolved challenge, while most studies still focus on optimizing individual components rather than comprehensive architectural integration. As its main contribution, this study proposes the Hierarchical Multi-Domain Cloud Networking Fabric (HM-CNF), integrating multiple communication mechanisms into a hierarchical unified system to enable more coordinated, scalable, and efficient multi-domain communication, supporting telecommunication infrastructure migration toward public cloud and providing a conceptual framework for next-generation cloud networking systems.
IoT-Based Public Street Lighting Monitoring and Control System Using LoRa Communication Andi Ahmad Dahlan; Reza Fahlevi; Ummul Khair; A. Abd Jabbar
Brilliance: Research of Artificial Intelligence Vol. 6 No. 2 (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.v6i2.8579

Abstract

Public Street Lighting (PSL) systems are important infrastructures that support road safety, reduce criminal activity, and improve public comfort during nighttime conditions. However, conventional PSL systems still experience several limitations, including inefficient energy consumption, delayed maintenance processes, and the absence of real-time monitoring capabilities. This study aims to design and implement an Internet of Things (IoT)-based public street lighting monitoring and control system using LoRa communication technology and the MQTT protocol. The proposed system integrates ESP32 microcontrollers, LoRa E220-900T30D communication modules, Raspberry Pi gateway devices, MQTT brokers, and Node-RED dashboards. The system is also equipped with Light Dependent Resistor (LDR), Passive Infrared Receiver (PIR), and current sensors to support automatic lighting control, motion detection, and abnormal condition monitoring. The research method includes hardware and software design, system integration, and communication performance testing through local networks and internet connections. Experimental results show that the system successfully performs real-time monitoring and remote lighting control. The average transmission delay for node 1 was approximately 15 seconds, while node 2 experienced delays ranging from 21.89 seconds to 36.02 seconds depending on communication conditions and processor workload. The proposed system successfully improves operational monitoring efficiency, supports adaptive lighting control, and reduces energy consumption through dimmer-based lighting adjustment. The developed system can be implemented as an alternative smart city solution for intelligent and efficient public street lighting management.
Co-Authors A. Abd Jabbar Rahmadani Putri Raihan Riyon Pratama Ramiati Ramiati Ratna Dewi Reza Fahlevi Silfia Rifka Sri Nita Sultha Redysa Ummul Khair Yulindon Khaidir Yulindon Yulindon