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All Journal Indonesian Review of Physics (IRiP) Jurnal Kolaboratif Sains Journal of Law and Bibliometrics Studies Open Access DRIVERset
Afiyah Nikmah
Universitas Negeri Surabaya
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Trends and Mapping of Research on Artificial Intelligence-Based Antenna Optimisation: A Bibliometric Analysis Riski Ramadani; Afiyah Nikmah; Nisaul Fadhilah; Rohim Aminullah Firdaus; Noer Risky Ramadhani
Journal of Law and Bibliometrics Studies Vol. 1 No. 2 (2025): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.2.85

Abstract

Objective: This study aims to map the global research landscape on artificial intelligence (AI)-based antenna optimisation using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2010–2025. Data preprocessing included deduplication and keyword harmonisation. Bibliometric analysis was conducted using performance metrics (publication trends, influential authors, journals, countries) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three distinct publication phases: initial stagnation (2010–2016), growth (2017–2019), and exponential expansion (2020–2024), with a peak in 2023. China dominates global research output, followed by the United States and India. IEEE journals, particularly IEEE Access and IEEE Transactions on Antennas and Propagation, serve as the primary publication platforms. Co-authorship analysis indicates a highly centralised collaboration network with hubs like Zhang and Wang. At the same time, thematic mapping shows a strong focus on machine learning, deep learning, 5G or 6G technologies, and adaptive antenna design. Novelty: This paper provides a systematic, data-driven overview of the intellectual structure and thematic evolution of AI-based antenna optimisation research. It identifies gaps such as limited experimental validation, standardisation issues, and the need for AI-driven inverse design methods for next-generation communication systems.
Trends and Mapping of Research on Artificial Intelligence-Based Antenna Optimisation: A Bibliometric Analysis Riski Ramadani; Afiyah Nikmah; Nisaul Fadhilah; Rohim Aminullah Firdaus; Noer Risky Ramadhani
Journal of Law and Bibliometrics Studies Vol. 1 No. 2 (2025): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.2.85

Abstract

Objective: This study aims to map the global research landscape on artificial intelligence (AI)-based antenna optimisation using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2010–2025. Data preprocessing included deduplication and keyword harmonisation. Bibliometric analysis was conducted using performance metrics (publication trends, influential authors, journals, countries) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three distinct publication phases: initial stagnation (2010–2016), growth (2017–2019), and exponential expansion (2020–2024), with a peak in 2023. China dominates global research output, followed by the United States and India. IEEE journals, particularly IEEE Access and IEEE Transactions on Antennas and Propagation, serve as the primary publication platforms. Co-authorship analysis indicates a highly centralised collaboration network with hubs like Zhang and Wang. At the same time, thematic mapping shows a strong focus on machine learning, deep learning, 5G or 6G technologies, and adaptive antenna design. Novelty: This paper provides a systematic, data-driven overview of the intellectual structure and thematic evolution of AI-based antenna optimisation research. It identifies gaps such as limited experimental validation, standardisation issues, and the need for AI-driven inverse design methods for next-generation communication systems.
Comparative Simulation Study of Impedance Enhancement in a Circular UWB Antenna Using Defected Ground Structure and Slot Techniques Afiyah Nikmah; Arum Vonie Rachmawati; Muhimmatul Khoiro; Yohanes Galih Adhiyoga; Nanang Winarno; Rohim Aminullah Firdaus
Indonesian Review of Physics Vol. 8 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v8i2.16065

Abstract

This study presents a comparative simulation analysis of impedance enhancement in a circular UWB microstrip antenna using Defected Ground Structure (DGS) and slot techniques. Three antenna configurations were investigated: a baseline circular antenna, a DGS-loaded antenna, and a combined DGS-slot antenna. All antenna models were designed and simulated using CST Studio Suite with identical simulation conditions to evaluate the progressive effect of each structural modification. The antenna performance was analyzed in terms of S11, VSWR, input impedance, realized gain, radiation efficiency, and radiation pattern. The results show that the combined DGS-slot antenna provides the best impedance-matching performance, achieving S11 below -10 dB from approximately 1.72 GHz to 13.06 GHz, corresponding to a continuous bandwidth of 11.34 GHz. This represents a bandwidth improvement of approximately 223.6% compared with the baseline antenna and 69.3% compared with the DGS-loaded antenna. The optimized antenna also achieves a minimum VSWR of approximately 1.01 at 7.66 GHz and an input impedance of 50.46 + j0.35 Ω near resonance. In addition, the antenna provides a realized gain of 4.735 dBi and radiation efficiency of 79.27% at 7.6 GHz. These results demonstrate the synergistic effect of DGS-slot coupling in improving impedance matching, bandwidth continuity, and radiation performance of circular UWB antennas
Analisis Pengaruh Variasi Fiber Doped Amplifier dan Panjang Gelombang Laser terhadap Optical Power pada Perancangan Sistem FMCW LiDAR: Analysis of the Effect of Variations in Doped Fiber Amplifier and Laser Wavelength on Optical Power in FMCW LiDAR System Design Riski Ramadani; Meta Yantidewi; Rohim Aminullah Firdaus; Afiyah Nikmah
Jurnal Kolaboratif Sains Vol. 7 No. 5: MEI 2024 - Jurnal Kolaboratif Sains (JKS)
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v7i5.5267

Abstract

Frequency Modulated Continuous Wave (FMCW) LiDAR merupakan teknologi pendeteksian objek dengan teknik memodulasi frekuensi sinar laser secara kontinu. FMCW LiDAR memiliki kelebihan dalam mendeteksi objek karena dapat menghasilkan pendeteksian objek secara akurat. Salah satu paramater yang berperan dalam pendeteksian sistem ini adalah optical power. Namun optical power dapat berkurang karena ketidaksesauian kombinasi fiber doped amplifier dengan panjang gelombang laser sehingga pada penelitian ini dilakukan pengukuran optical power secara simulasi terhadap berbagai jenis fiber doped amplifier dan panjang gelombang laser. Hasil penelitian menunjukan bahwa jenis Holmium Doped Fiber Amplifier (HDFA) mengeluarkan optical power yang lebih besar dibandingkan jenis fiber doped amplifier lainnya, yakni sebesar 20,02 mW. Selain itu, panjang gelombang 1550 nm menghasilkan keluaran optical power yang optimal diberbagai jenis fiber doped amplifier. Pada penelitian ini semua jenis fiber doped amplifier dan panjang gelombang laser menghasilkan frekuensi beat sebesar 20 MHz dan objek terdeteksi pada jarak 100 meter.
Co-Authors Arum Vonie Rachmawati Muhimmatul Khoiro Nanang Winarno Nisaul Fadhilah Noer Risky Ramadhani Riski Ramadani ROHIM AMINULLAH FIRDAUS Yantidewi, Meta Yohanes Galih Adhiyoga