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Automatic Monitoring of Soil Conditions For Plants Based On The Internet of Things Evan Adicandra Evan; Aisyah Vianda Putri; Alif Bintang Al Ikhlas
International Journal of Wireless And Multimedia Communications Vol. 2 No. 2 (2025): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v2i2.72

Abstract

Abstract—In the current era of digitalization and technological developments, embedded systems have become an important component in various applications, including in the agricultural sector. The Embedded Systems course provides an understanding of the design, development and implementation of efficient and effective integrated systems. One practical application of this knowledge is in the concept of smart farming.Smart farming utilizes embedded system technology to monitor and control various aspects of agriculture automatically and in real-time. By using sensors, microcontrollers and IoT (Internet of Things) devices connected using the ESP32 module
Comparison Download and Upload ofLong Term Evolution Time Division Duplex 2300 Mhz and Fdd 2100 Mhz Aisyah Vianda Putri; Alifia Amanda
International Journal of Wireless And Multimedia Communications Vol. 3 No. 2 (2026): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v3i2.141

Abstract

Data communication such as downloads and uploads are used by users on different channels, namely downlink and uplink in data transceiver. This study analyzed the download and upload results of Time Division Duplex (TDD) 2300 MHz and Frequency Division Duplex (FDD) 2100 Mhz. The bandwidth used is 20 MHz. This research was conducted in the Cengkeh Nan XX area because of the availability of both TDD and FDD technologies in this area and including densely populated areas, so good service performance is needed. The average FDD Reference Signal Received Power (RSRP) value of downloaded and uploaded is in the very good category (-95 ≤ x < -80 dBm) of -91.4 dBm and -89.4 dBm, while TDD is included in the Good category (-100≤ x < -95 dBm) of -98.2 dBm and -97.6 dBm. The average TDD Signal to Interference Noise Ratio (SINR) downloaded and uploaded is in the very good category (10 ≤ x < 20 dB) of 13.4 dB and 12.1 dB, while FDD is included in the Good category (0≤ x < 10 dB) of 8.9 dB and 7.4 dB. Average download throughput on PDCP (Packet Data Convergence Protocol) and Physical Layer TDD is included in the very good category (500 ≤ x < 100,000 kbps) which is 22,457.3 kbps and 26,842.3 kbps, while FDD is 18,687.7 kbps and 21,790.6 kbps. Average Upload Throughput on PDCP and Physical Layer FDD is included in the very good category (2000 ≤ x < 5000 kbps) which is 3733.12 kbps and 4425.9 kbps, while TDD reaches 2832.34 kbps and 3175.4 kbps. TDD and FDD technologies use different frequencies and multiplexing techniques resulting in differences in service performance. Based on the results of the study, it was analyzed that the best parameters in FDD are RSRP and Upload Throughput, while in TDD frequencies are SINR, Download Throughput. Thus, TDD and FDD technologies are used in certain categories and purposes.