Sri Nita
Politeknik Negeri Padang, Indonesia

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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.
Design and Implementation FTTH GPON Network Design Based on Attenuation Measurement and Optisystem Modeling Aprinal Adila Asril; Popy Maria; Ummul Khair; Silfia Rifka; Sri Nita
Brilliance: Research of Artificial Intelligence Vol. 6 No. 3 (2026): Brilliance: Research of Artificial Intelligence, Article Research August 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i3.8946

Abstract

This study aims to design and implement a Fiber to the Home (FTTH) network based on Gigabit Passive Optical Network (GPON) technology using attenuation measurement as an approach to detect physical disturbances in optical fiber through modeling with Optisystem software. The research activities were conducted in a laboratory through several stages, including network topology design, system simulation using Optisystem, implementation of an FTTH trainer module, and attenuation measurement using an Optical Power Meter (OPM). Testing was carried out under various cable conditions, namely normal conditions, bending, damaged core, and variations in dropcore cable length to analyze their effects on attenuation values. The results showed that the attenuation values under normal conditions ranged from 14.94 to 16.23 dB, while under physical disturbance conditions such as bending and core damage, there was a significant increase in attenuation. The addition of cable length also contributed to an increase in attenuation of approximately 0.9 dB for every 5 meters. The Optisystem simulation results were consistent with the link power budget calculations and actual measurements, with a difference of approximately 0.1 dB. Furthermore, cable conditions with severe damage such as a broken core showed attenuation values exceeding 50 dB, which can be used as an indicator of physical disturbances. Overall, this study successfully demonstrates that the attenuation measurement method combined with Optisystem modeling is effective in detecting physical disturbances in FTTH GPON networks. The developed trainer module can also be used as a learning medium to understand attenuation characteristics and the performance of optical fiber networks in a laboratory environment.