Budi Aswoyo
Politeknik Elektronika Negeri Surabaya

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“Beamforming” menggunakan Antena Array untuk Memperbaiki Kinerja Sistem Penerimaan Sinyal Komunikasi Budi Aswoyo; Arifin Arifin
Approach : Jurnal Teknologi Penerbangan Vol. 1 No. 2 (2017): Oktober 2017
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1044.346 KB)

Abstract

Dalam makalah ini, dipaparkan hasil simulasi tentang beamforming pada antena array linier menggunakan Algoritma Least Mean Square (LMS). Dari proses beamforming ini, menghasilkan suatu gambar pola faktor array (AF Paterrn) dari antena array, yang mampu beradaptasi dengan cara mengarahkan pancaran utama ke arah sinyal yang dikehendaki (signal of interest atau SOI) , dan sekaligus menekan serendah mungkin arah-arah sinyal yang tidak dikehendaki (signal not of interest atau SNOI). Perbadingan antara level sinyal dari SOI dan SNOI dari pola pancar tersebut, akan menghasilkan suatu parameter yang merupakan kinerja sistem, dan disebut dengan signal of interference ratio (SIR). Simulasi dilakukan untuk mengevaluasi kinerja sistem terhadap pengaruh jumlah elemen antena array, dengan arah SOI yang bervariasi dari 0o, 20o, 40o dan 50o dengan arah SNOI=60o, dengan nilai konstanta konvergensi Algoritma LMS sebesar 0,001, dan nilai ambang minimum SIR 40 dB. Dari hasil simulasi disimpulkan, jika selisih sudut antara SOI dan SNOI relatif jauh (60o; 40o dan 20o), maka proeses beamforming yang terbentuk berhasil menempatkan sinyal- sinyal tersebut pada arah SOI dan SNOI yang telah ditentukan, dengan SIR yang relatif tinggi, di atas nilai ambang 40 dB. Semakin kecil selisih sudut antera SOI dan SNOI, maka semakin kecil nilai SIR yang dihasilkan. Sedangkan, pada saat sudut antara SOI dan SNOI sebesar 10o, proses beamforming tidak berhasil menempatkan sinyal pada sudut-sudut yang telah ditentukan, dan nilai ambang SIR lebih kecil dari nilai ambang 40 dB.
Performance Analysis of Full-Duplex DF Relay-Based D2D Communication with Energy Harvesting Afina Nabila Dirganingsih; Anang Budikarso; Yoedy Moegiharto; Mohammad Ridwan; Faridatun Nadziroh; Budi Aswoyo
Journal of Communication Systems, Networks, and Security Vol. 1 No. 1 (2026): April
Publisher : Politeknik Elektronika Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68129/jcsns.v1i1.41

Abstract

Device-to-device (D2D) communication is a promising technology that leverages spectral efficiency and relieves network congestion in next-generation wireless systems. However, it suffers from significant performance degradation under Interference and limited transmission power and energy limitations, especially in the suburban areas with non-line-of-sight (NLOS) propagation conditions. To tackle these challenges, this paper studies a full-duplex D2D communication system with an energy-harvesting decode-and-forward (DF) relay based on the power-splitting relaying (PSR) protocol. The system model enables simultaneous information and energy transfer using radio-frequency (RF) signals as the energy source. We examine two scenarios: a relay-assisted self-interference model and a multi-node interference model. We evaluate system performance in terms of signal-to-noise ratio (SNR), throughput, and outage probability for different energy-harvesting efficiencies, power-splitting factors, and time-allocation parameters. Simulations show that system performance rises with energy-harvesting efficiency. We also identify optimal power-splitting and time-allocation values for maximum throughput. In the full-duplex DF relay system, self-interference is present at the relays, yet spectral efficiency improves. However, multiple nodes cancel each other out, causing a drop. These results help design effective, energy-efficient D2D communication systems with near-optimal performance for future wireless networks.
IoT-Based Monitoring and Control of Smoke Concentration in Fish Smoking Warehouses Using Fuzzy Logic and ESP32 Urifah Nur Rohmah; Faridatun Nadziroh; Budi Aswoyo; Anang Budikarso; Ida Anisah
Journal of Communication Systems, Networks, and Security Vol. 1 No. 1 (2026): April
Publisher : Politeknik Elektronika Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68129/jcsns.v1i1.51

Abstract

Fish smoking is a common practice for preserving and flavoring fish; unfortunately, traditional methods of smoking can produce dangerous air pollutants, including carbon monoxide (CO) and nitrogen oxides (NO₂), which have severe implications for workers' health and environmental performance. In this context, we propose an Internet of Things (IoT)- based intelligent system for real-time monitoring and control of smoke levels in fish smoking warehouses. The MICS-6814 gas sensor, combined with the ESP32 microcontroller, measures CO and NO₂ levels, while a fuzzy-logic algorithm classifies air quality using the CO₂-N₂ Air Pollution Standard Index (ISPU) from the reference. The proposed approach automatically controls ventilation via a fan actuator, which is triggered when pollutant levels exceed specific thresholds. The results of the experiment show that at a distance of 40 cm, as soon as it falls, this system is determined to be an unhealthy air condition if it starts automatic ventilation. Still, at a distance of 1 m, air quality remains moderate and therefore requires no action. The system enabled real-time monitoring, classification, and control, while data visualization was handled via a web-based interface and an LCD. Power, investigations repeatedly reported that indoor air quality management in fish smoking places demonstrated its practicality in reducing health risks from smoke exposure