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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) snimed Jurnal Teknoin SITEKIN: Jurnal Sains, Teknologi dan Industri Sistemasi: Jurnal Sistem Informasi Jurnal CoreIT Communications in Science and Technology Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat ComTech: Computer, Mathematics and Engineering Applications Refleksi Pembelajaran Inovatif Automata Jurnal Teknik Informatika (JUTIF) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Locus Penelitian dan Pengabdian Khazanah: Jurnal Mahasiswa Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Elyza Gustri Wahyuni
Jurusan Teknik Informatika Fakultas Teknologi Industri Universitas Islam Indonesia
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Journal : Communications in Science and Technology

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On the characterization of EM emission of electronic products: Case study for different program modes Yuwono, Tito; Baharuddin, Mohd Hafiz; Zhivomirov, Hristo; Wahyuni, Elyza Gustri
Communications in Science and Technology Vol 9 No 1 (2024)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.9.1.2024.1289

Abstract

The characterization of the EM emissions for electronic products is crucial to ensure that the emissions have met the requirements of the EMC standards. For this, a more comprehensive testing is required to get more meaningful results. While, the emergence of non-stationary emissions is a challenge to obtain valid analysis results. So far, non-stationary EM emissions is not considered and treated properly in the emission analysis. This paper presents a new method for the analysis of EM emissions from electronic devices as a case study by testing three different program modes (scenarios) of Intel Galileo board. These program modes were designed to vary processing intensity in its memory and processor. A comparison was also made between the actual situation (the presence of non-stationary signals) and the hypothetical situation with the assumption that all emissions were stationary. As a result, a significant difference was observed when the analysis considered the real scenario of a non-stationary emission. The ratio between the average autocorrelation using the proposed algorithm and the average correlation by ignoring the non-stationarity of the emission signal was 113.6 times. The study concludes that different program modes produce the different characteristics of EM emissions, making some of them non-stationary. Hence, we strongly suggest the consideration of the non-stationarity of the EM emissions in characterizing complex electronic devices.
Co-Authors Adhin Alifarchan Aditya, Silfa Kurnia Ahmad Syahriza Ramadhan Anggraini, Nadia Rahmi Nur Aswal Chusnan Widodo Athiya Mutiara Denasfi Baharuddin, Mohd Hafiz Erna Retno Wukiratun Fadhillah Abriyani Fadhillah, Lalam Fathonah Farhan Mozart Aditya Fahreza Fatimah Shalehah Fayruz Rahma Firman Kurnianto Joko Susilo Karimah, Karimah Kholid Haryono Kurniawan, Ricky Linda Rosita Lizda Iswari Maria Ulfa Muhammad Zufar Al Rafif Nadya Khairunnisa Nikmah, Za Idatin Nurul Fatikah Muchlis Pratiwi, Anis Prinanda, Zetram Adhitya Putra, Arya Nanda Mahardika Ramadhan, Ahmad Syahriza Ramadhana Bagus Solichuddin Sri Kusumadewi sri mulyati Tamiri, Muhammad Husni Tito Yuwono, Tito Trisdiatin, Sausan Vedamurti Nuur Anisah Wahyudi, Rian Tri Widodo Prijodiprodjo Wijoyo Budi Prasetyo Zhivomirov, Hristo