Optimasi Rectenna Rangkaian RF Energy Harvesting Pada Frekuensi 2,45 GHz

MUHAMMAD AKBAR RAMADHAN, . (2026) Optimasi Rectenna Rangkaian RF Energy Harvesting Pada Frekuensi 2,45 GHz. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Perkembangan teknologi nirkabel, khususnya jaringan WiFi pada frekuensi 2,4 GHz, membuka peluang pemanfaatan gelombang elektromagnetik sebagai sumber energi alternatif melalui teknik RF energy harvesting. Penelitian ini bertujuan merancang dan merealisasikan sistem rectenna untuk optimasi transfer daya nirkabel pada frekuensi 2,45 GHz sehingga energi RF dari sinyal WiFi dapat dikonversi menjadi tegangan DC yang bermanfaat bagi perangkat berdaya rendah seperti sensor dan perangkat Internet of Things (IoT). Metode penelitian dilakukan melalui tahapan perancangan, simulasi menggunakan perangkat lunak Advanced Design System (ADS) 2026, fabrikasi PCB, dan pengujian performa rangkaian rectifier dengan konfigurasi voltage doubler 3-stage serta teknik matching impedance menggunakan mikrostrip open stub. Hasil penelitian menunjukkan bahwa rangkaian berhasil direalisasikan dan bekerja sesuai fungsi yang diharapkan. Hasil simulasi memperlihatkan tegangan keluaran meningkat seiring kenaikan daya input RF, yaitu sebesar 0,667 V pada input -5 dBm dan mencapai sekitar 2–3 V pada daya yang lebih tinggi. Pada pengujian nyata, sistem mampu menghasilkan tegangan hingga sekitar 1,1 V pada kondisi antena sangat dekat dengan sumber sinyal WiFi tanpa beban. Selain itu, diperoleh tegangan keluaran sebesar 1,15 V, arus sebesar 17 µA, dan daya sebesar 19,55 µW pada kondisi optimal. Secara keseluruhan, penelitian ini membuktikan bahwa sistem RF energy harvesting berbasis rectenna pada frekuensi 2,45 GHz berhasil mengonversi energi RF dari sinyal WiFi menjadi energi listrik DC dengan performa terbaik pada jarak dekat terhadap sumber sinyal, sehingga berpotensi mendukung pengembangan perangkat elektronik mandiri dan teknologi ramah lingkungan. ***** The rapid development of wireless technology, particularly WiFi networks operating at 2.4 GHz, has created opportunities to utilize electromagnetic waves as an alternative energy source through RF energy harvesting techniques. This study aims to design and implement a rectenna system to optimize wireless power transfer at a frequency of 2.45 GHz, enabling RF energy from WiFi signals to be converted into DC voltage for low-power devices such as sensors and Internet of Things (IoT) devices. The research methodology consisted of design, simulation using Advanced Design System (ADS) 2026 software, PCB fabrication, and performance testing of a rectifier circuit employing a 3-stage voltage doubler configuration and impedance matching techniques using a microstrip open stub. The results indicate that the circuit was successfully implemented and operated according to the intended design. Simulation results showed that the output voltage increased with higher RF input power, reaching 0.667 V at an input power of -5 dBm and approximately 2–3 V at higher power levels. Experimental testing demonstrated that the system was capable of producing an output voltage of approximately 1.1 V when the antenna was placed very close to the WiFi signal source under no-load conditions. Furthermore, the system produced an output voltage of 1.15 V, an output current of 17 µA, and an output power of 19.55 µW under optimal conditions. Overall, this study demonstrates that the proposed rectenna-based RF energy harvesting system operating at 2.45 GHz successfully converts RF energy from WiFi signals into DC electrical energy, achieving the best performance at close distances to the signal source. Therefore, the system shows potential for supporting the development of self-powered electronic devices and environmentally friendly technologies.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Baso Maruddani, M.T. 2). Vina Oktaviani, S.Pd., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Muhammad Akbar Ramadhan .
Date Deposited:	11 Aug 2026 03:08
Last Modified:	11 Aug 2026 03:08
URI:	http://repository.unj.ac.id/id/eprint/69538

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