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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Insect (Informatics and Security) : Jurnal Teknik Informatika Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Taroa : Jurnal Pengabdian Masyarakat Jurnal Riset Sistem dan Teknologi Informasi SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat (PEMAS) Jurnal Pengembangan Sains dan Teknologi Scientific Journal of Engineering Research Scientific: Journal of Computer Science and Informatics Journix: Journal of Informatics and Computing
Muhammad Amirul Mu'min
Universitas Muhammadiyah Bima
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Scientific Journal of Engineering Research

 1 
Trends and Impact of the Viola-Jones Algorithm: A Bibliometric Analysis of Face Detection Research (2001-2024) Wijaya, Setiawan Ardi; Famuji, Tri Stiyo; Mu'min, Muhammad Amirul; Safitri, Yana; Tristanti, Novi; Dahmani, Abdennasser; Driss, Zied; Sharkawy, Abdel-Nasser; Al-Sabur, Raheem
Scientific Journal of Engineering Research Vol. 1 No. 1 (2025): March
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v1i1.2025.8

Abstract

The Viola-Jones algorithm remains a cornerstone in computer vision, particularly for object and face detection. This bibliometric study provides a comprehensive analysis of the algorithm’s academic impact and research trends, encompassing publication patterns, citation metrics, influential authors, and co-occurrence of keywords. The findings indicate a significant rise in research outputs and citations between 2016 and 2020, reflecting the algorithm's sustained relevance and application in various domains. Network visualization maps further reveal the algorithm's integration with diverse fields, including machine learning, image processing, and neural networks, emphasizing its versatility and adaptability to emerging technological challenges. Key research contributions include advancements in hybrid approaches, combining the Viola-Jones framework with techniques such as convolutional neural networks and HOG-SVM for improved detection accuracy. However, limitations such as computational inefficiency and sensitivity to environmental factors persist, presenting opportunities for innovation. This study concludes by highlighting future research directions, such as integrating deep learning and edge computing to enhance algorithmic performance in real-time and complex scenarios. This study provides a valuable reference for researchers and practitioners aiming to extend the Viola-Jones algorithm’s capabilities and applications by consolidating existing knowledge and identifying research gaps.
Post-Quantum Cryptography Review in Future Cybersecurity Strengthening Efforts Mu'min, Muhammad Amirul; Safitri, Yana; Saputra, Sabarudin; Sulistianingsih, Nani; Ragimova, Nazila; Abdullayev, Vugar
Scientific Journal of Engineering Research Vol. 1 No. 3 (2025): September
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v1i3.2025.35

Abstract

The development of quantum computing technology brings significant challenges to conventional crypto-graphic systems that are currently widely used in digital data security. Attacks made possible by quan-tum computers have the potential to weaken classical algorithms such as RSA and ECC, so a new ap-proach is needed that can guarantee long-term security. This study aims to systematically review the ef-fectiveness and readiness of the implementation of post-quantum cryptography (PQC) algorithms, espe-cially those that have been recommended by NIST, in order to strengthen the resilience of future cyberse-curity systems. The method used was a structured literature study with comparative analysis of lattice-based (Kyber and Dilithium), code-based (BIKE), and hash-based (SPHINCS+) PQC algorithms. Data are obtained from official documents of standards institutions as well as the latest scientific publications. The results of the analysis show that lattice-based algorithms offer an optimal combination of security and efficiency, and demonstrate high readiness to be implemented on limited devices. Compared to other al-gorithms, Kyber and Dilithium have advantages in terms of performance and scalability. Thus, this re-search contributes in the form of mapping the practical readiness of the PQC algorithm that has not been widely studied in previous studies, and can be the basis for the formulation of future cryptographic adop-tion policies. These findings are expected to help the transition process towards cryptographic systems that are resilient to quantum threats.
Co-Authors Abdul Fadlil Abdul Fadlil Abdullayev, Vugar Al-Sabur, Raheem Ariful Aziz Dahlan Dahmani, Abdennasser Driss, Zied Fanani, Galih Pramuja Inngam Fathir Fathir Fathir Firmansyah Firmansyah Galih Pramuja Inngam Fanani Galih Pramuja Inngam Fanani Galih Pramuja Inngam Fanani Hadijah Ilmih, Muhammad Imam Riadi Imam Riadi Imam Riadi Irma Eryanti Putri Khairunnisa M. Ihya A. Elfatih Muhammad Rasyad Al Fajar Munir Husen Nani Sulistianingsih Novi Tristanti Novi Tristanti Putri Nadila Ragimova, Nazila Rahmat Dani S Ramadhan, Sahrul Randitha Missouri Sabarudin Saputra Sahrul Ramadhan Sa’adati, Yuan Sharkawy, Abdel-Nasser Siti Mutmainah Sunardi, Sunardi Sutriawan Sutriawan Syahru Ramadhan Tri Stiyo Famuji Tristanti, Novi Wijaya, Setiawan Ardi Yana Safirti Yana Safitri Yana Safitri Yana Safitri, Yana Zumhur Alamin