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Optimal Propagation Model for DVB-T2 System in Urban Area Sulistyawan, Vera Noviana; Pamungkas, Damar Purba; Andrasto, Tatyantoro; Fathoni, Khoirudin; Widhira, Sepfianda Eka; Abas, Faizal Ghozali; Setiyani, Hendra Dewinta
ELKHA : Jurnal Teknik Elektro Vol. 16 No.2 October 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v16i2.82749

Abstract

The large-scale implementation of analog switch-off for television broadcasting in Indonesia has led to blank spots in several regions. To address this issue, an optimal propagation model is needed. Proper selection and analysis of the channel model can enhance transmitter coverage, increase coverage percentage, improve energy efficiency, and boost field strength due to optimal transmit power. Previous studies have explored various DVB-T2 propagation models, notably the ITU-R P.1812-4 and Longley-Rice models, which are sophisticated and consider various environmental parameters, making them suitable for diverse broadcasting conditions. This research introduces a novel approach by specifically focusing on the urban context of Semarang City, Indonesia, to reduce blank spots by applying the ITU-R P.1812-4 and Longley-Rice propagation models. This study uniquely compares the two models to determine the most effective one for this urban area. Results indicate that the ITU-R P.1812-4 model provides a higher field strength value than the Longley-Rice model, with average field strengths of 108.3425 dBμV/m and 108.2325 dBμV/m, respectively. The difference in average field strength of 0.11 dBμV/m, despite having the same free space loss value of 100.9025 dB, indicates that one model has a slightly stronger signal. This stronger signal can improve coverage by reaching further distances and penetrating obstacles better. Additionally, a stronger signal means less power is needed to maintain the same coverage area, thus improving energy efficiency. This research not only offers empirical data specific to Semarang City but also provides insights that can guide future digital broadcasting optimizations in similar urban environments.
Performance of Single-Hop and Multi-Hop Topologies in IoT-Based Wireless Sensor Networks for Environmental Monitoring Sulistyawan, Vera Noviana; Muhsin, Muhsin; Hasanah, Uswatun; Suni, Alfa Faridh; Pamungkas, Damar Purba; Santoso, Rizal Budi; Aditama, Kevin Muhammad Tegar; Fauzi, Muhamad Kurniawan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER (In Press)
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2408

Abstract

This study aims to evaluate the performance of an IoT-based Wireless Sensor Network (WSN) system in monitoring temperature and humidity in a modern poultry house. Testing was conducted on two network topologies —single-hop and multi-hop —by analyzing data transmission delay and sensor measurement accuracy. The methodology includes measuring the delay from sensor nodes to the sink node and analyzing sensor accuracy by comparing actual temperature and humidity values with sensor readings. The results indicate that the single-hop topology has lower and more stable transmission delays, ranging from 18 ms to 36 ms. In contrast, the multi-hop topology exhibits higher transmission delays, averaging 47.9 ms, due to additional time spent traversing intermediary nodes. In terms of accuracy, the temperature sensor shows minimal deviation from actual values, demonstrating good reliability. However, the humidity sensor exhibits greater variation, necessitating additional calibration or the use of higher-precision sensors. The evaluation using MAPE, RMSE, MSE, and MAE provides further insights into sensor error levels within the system. The uniqueness of this study lies in the comparative analysis of single-hop and multi-hop network performance in a WSN-IoT-based monitoring system. The study's implications emphasize the importance of optimizing network protocols to reduce latency in multi-hop communication and improving sensor accuracy to enhance the reliability of environmental monitoring.