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

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Antipodal Vivaldi Array Antenna for LoRa: A Simulation Study within 900–923 MHz Band Deri Latika Herda; Amelia Yolanda; Gardinia Naz Surya; Uzma Septima; Popy Maria
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.
ANALISIS DATA PENERIMAAN SINYAL ADS-B DALAM MENENTUKAN LOKASI PESAWAT MENGGUNAKAN RTL-SDR DAN LOW NOISE AMPLIFIER Adam Bintang Defino; Popy Maria; Sahid Ridho; Ummul Khair
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.v3i2.240

Abstract

Automatic Dependent Surveillance-Broadcast (ADS-B) allows real-time monitoring of aircraft positions, but Software Defined Radio (SDR) devices such as the RTL-SDR have sensitivity limitations that can affect signal reception quality, especially at long distances or under less than ideal  conditions. This study designs an ADS-B receiver system based on the RTL-SDR equipped with a Low Noise Amplifier (LNA) to amplify weak signals without adding significant noise. The method includes receiver circuit design, antenna installation, LNA integration, and signal reception testing at various distances. Reception data with and without the LNA are compared based on the maximum distance and the number of messages received. The results show that the LNA increases the maximum reception distance from 309.95 km to 417.90 km and improves signal stability at medium and short distances. This system is able to capture more messages, including from aircraft under less than  ideal  propagation  conditions. The combination of the RTL-SDR and LNA has proven to be effective and economical as an alternative to expensive device-based flight monitoring.
Co-Authors Adam Bintang Defino Amelia Yolanda Deri Latika Herda Gardinia Naz Surya Sahid Ridho Ummul Khair Uzma Septima