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All Journal Brilliance: Research of Artificial Intelligence
Herda, Deri Latika
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Decision Sciences, Operations Research & Management Mathematics Other

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Fiber Optical Network Damage Detection Passive Splitter 1:8 in ODC uses IOT Technology as a means of Real Time Reporting Asril, Aprinal Adila; Septima, Uzma; Dewi, Ratna; Maria, Popy; Herda, Deri Latika
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.v3i2.2966

Abstract

Fiber optic networks currently have a lot of interest, so a network monitoring system is needed that guarantees quality and speed of repair if mass disruption occurs. in research [1] regarding fiber network damage detection using IoT with the use of a 1:4 splitter and the use of a detector that can work at a wavelength of 650nm so that it can detect damaged cables with output in the software. So in connection with this, the author wants to develop the results of this research by using a 1:8 splitter and carrying out detection using the LDR sensor and NodeMCU ESP32 using IoT (Internet of Things) technology. The ESP32 NodeMCU will receive data in the form of light intensity values ??at each ODC from the LDR sensor. And then sent to a database that is connected directly to the Android application. The cable identification process occurs in three states: normal, warning, and error. The test and analysis results show that the hardware device can work well, with attenuation in the passive splitter cable of 10.28 dB and a light source with a wavelength of 650 nm. Cable detected as damaged is indicated by an output in the software with a delay of 4.56 s.
Antipodal Vivaldi Array Antenna for LoRa: A Simulation Study within 900–923 MHz Band Herda, Deri Latika; Yolanda, Amelia; Naz Surya, Gardinia; Septima, Uzma; Maria, Popy
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.v5i2.7013

Abstract

LoRa (Long Range) is a wireless communication technology that has gained significant attention in the Internet of Things (IoT) due to its wide coverage and low power consumption. However, its performance is often affected by environmental obstacles that cause signal attenuation and interference. In Indonesia, LoRa is regulated to operate in the 920–923 MHz band, whereas many commercial devices are designed for 915 MHz, leading to suboptimal antenna performance. Therefore, this research aims to design and simulate an antenna that can operate effectively across 900–923 MHz, covering both the commonly used 915 MHz band and the regulated 920–923 MHz band in Indonesia. The proposed design is a 1×2 Antipodal Vivaldi Array antenna using an FR-4 substrate with a dielectric constant of 4.3 and thickness of 1.6 mm. The simulation process was conducted using CST Studio Suite 2019, focusing on the optimization of key geometric parameters such as feedline width, inter-element spacing, flare structure, and ground plane. The simulated results show that the antenna achieves a return loss of –19.11 dB at 923 MHz, a bandwidth of 344.4 MHz, and a gain ranging from 5.103 dBi at 900 MHz to 5.162 dBi at 923 MHz. The radiation pattern is directional, which supports long-range communication requirements. These findings demonstrate that the proposed antenna design meets the specifications for LoRa communication and provides a wideband, directional solution that can enhance the reliability of IoT systems.
Co-Authors Amelia Yolanda Aprinal Adila Asril Naz Surya, Gardinia Popy Maria Ratna Dewi Uzma Septima