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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal ICT : Information Communication & Technology Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sistim Informasi dan Teknologi AMMA : Jurnal Pengabdian Masyarakat
Dadang Sudrajat
STMIK IKMI Cirebon
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Bibliometrik Analysis: Signal Preprocessing Techniques for Kualitas Sinyal Electrogram Odi Nurdiawan; Dadang Sudrajat; Fathurrohman; Ade Rizki Rinaldi
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This study explores electroencephalogram (EEG) signal preprocessing techniques used in the early detection and diagnosis of epilepsy, aiming to enhance the quality and reliability of data used in clinical applications. Effective signal preprocessing techniques are crucial for minimizing artifacts and noise, which can obscure critical information in EEG signals. More accurate EEG signal processing allows for the identification of abnormal patterns associated with various neurological conditions, such as epilepsy, which heavily relies on this signal analysis for precise diagnosis. This study conducted a bibliometric analysis using a descriptive approach to identify research trends, geographic distribution, institutional contributions, and key authors in this field. Data was collected from the Scopus database using the keywords "electroencephalogram AND signal AND processing AND epilepsy". The analysis results show a significant increase in the number of publications related to EEG signal preprocessing techniques over the past five years, with major contributions from countries like China, India, and the United States, reflecting the high global interest and focus on this topic. Additionally, deep learning and machine learning techniques emerged as the most dominant methods in this research, indicating future trends in the development of increasingly sophisticated EEG signal processing technologies. The findings also suggest that using techniques such as artificial neural networks, convolutional neural networks (CNN), and deep learning can enhance the accuracy of epilepsy diagnosis and prediction, making a significant contribution to modern clinical practice. Moreover, this study emphasizes the importance of developing and integrating more advanced preprocessing techniques to improve the effectiveness of EEG signal detection and classification, which is expected to enhance diagnostic outcomes and patient management with neurological disorders. This study provides valuable contributions to the development of medical diagnostic technologies, particularly for neurological disorders such as epilepsy, and highlights the need for further research to optimize these techniques for broader clinical application.
Bibliometrik Analysis: Kontruksi Sosial Masyarakat Mengenai Teknologi AI Pada Data Base Scoupus 2014-2024 Nisa Dienwati Nuris; Khaerul Anam; Dadang Sudrajat
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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This research investigates the social construction of ChatGPT technology in society by identifying and analyzing the factors that influence its adoption and utilization. Through this analysis, we aim to identify recent research trends, gaps, and future research opportunities. The study utilizes data from various international scientific journals indexed by Scopus to explore the application of social construction of technology techniques and their societal impact. The method used in this research is bibliometric analysis to uncover patterns in the study of the social construction of ChatGPT technology in society. The results show that user perceptions of ChatGPT are influenced by digital readiness, technological literacy, as well as perceptions of benefits and risks. Additionally, ChatGPT is closely related to the development of critical skills among students, supporting the enhancement of analytical and critical abilities. The research focus in the field of AI, particularly concerning social and economic impacts, is expanding. This study emphasizes the importance of AI in various aspects of life and its contribution to sustainable development, especially in higher education, where AI technology integration is involved. Educational institutions are encouraged to design policies to support learning and skill development through AI. This research has limitations, particularly in terms of sample size and methodology, which can be addressed in future studies by expanding the scope and methods of the research. Overall, this study enriches the understanding of the impact of AI technology, particularly ChatGPT, in higher education and provides a foundation for further research.
Bibliometrik Analysis: Pembelajaran Speaking Session Menggunakan Instagram Pada Data Base Scopus 2014-2024 Riri Narasati; Ahmad Faqih; Dadang Sudrajat
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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In today's digital age, social media plays an important role in various aspects of life, including education. This research explores the use of Instagram as a learning tool to improve English speaking skills. Through bibliometric analysis, this study identifies previous research trends and evaluates the effectiveness of Instagram-based learning methods. It also reviews existing literature to understand how Instagram has been used in language learning contexts, as well as identifying existing research gaps. The results show that the use of Instagram in English language learning can increase student motivation and participation. Interaction through video, story and dialog-based content on Instagram proved effective in improving speaking skills. The study also found that the use of project-based tasks on Instagram can help students in developing their confidence and speaking ability. In addition, this study highlights the importance of structured guidance and feedback in maximizing the benefits of learning through Instagram. This research makes a novel contribution to the literature by offering a more in-depth approach to the use of Instagram in English language learning. By exploring effective learning strategies and their impact on students' speaking skills, this study explores the role of Instagram in English language learning.
SMART ATTENDANCE TRACKING SYSTEM EMPLOYING DEEP LEARNING FOR FACE ANTI-SPOOFING PROTECTION Bani Nurhakim; Ahmad Rifai; Dian Ade Kurnia; Dadang Sudrajat; Ujang Supriatna
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5992

Abstract

Conventional attendance systems face challenges in accuracy and efficiency, often vulnerable to spoofing and data manipulation. This study addresses these issues by developing a smart attendance system integrating Deep Learning-based facial recognition with anti-spoofing technology. The system ensures secure and reliable attendance authentication while automating and enhancing management processes. Utilizing a convolutional neural network (CNN) architecture, the system processes raw facial images directly without additional feature extraction, improving accuracy and efficiency. A novel training strategy, termed 50 Random Samples-30 Sub-epochs Count-1 Epoch, is introduced to optimize the training process. This strategy involves random sampling during each forward pass and grouping 30 passes as one epoch, enabling the use of complex CNN architectures and automatic dataset expansion. The system achieves 98.90% accuracy in identifying genuine attendance, maintaining a confidence level above 80%, significantly reducing spoofing risks and errors. This innovative solution has significant implications, particularly for educational institutions. It automates attendance tracking, minimizes manual effort, reduces errors, and supports disciplinary enforcement through accurate data. Moreover, its scalability allows for application across various environments, offering benefits to a wide range of institutions. By enhancing data accuracy and operational efficiency, this system sets a foundation for smarter, more reliable attendance management, strengthening administrative practices in education and beyond.
Pelatihan Pembuatan Website dan Pengelolaan Media Sosial Untuk Promosi Produk Lokal Cep Lukman Rohmat; Dadang Sudrajat; Saeful Amri; Selvi Andini
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 03 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Improving the competitiveness of local products in the digital era requires micro, small, and medium enterprises (MSMEs) to be able to utilize information technology in their marketing processes. However, many local business actors still rely on conventional promotional methods and have not yet optimized the use of digital media. This Community Service Program (PKM) aims to assist partner MSMEs in increasing their product visibility through website creation and social media management as promotional tools. The program was carried out in several stages: identifying partner needs, training in the creation and management of websites using WordPress, training in content design and marketing strategies via social media (Instagram, Facebook, and WhatsApp Business), and mentoring in content creation and account management. During the program, partners were equipped with basic skills to build a simple online store website, copywriting techniques, product photography using smartphones, and the use of free design tools such as Canva. The results of the activity show that partners who previously had no online presence now have active websites displaying product catalogs, business profiles, and contact information. In addition, the partners’ social media accounts became more active and strategically managed, featuring consistent and engaging promotional content. This activity also increased partners’ understanding of the importance of digital identity and content-based marketing strategies. The PKM provided direct impact in the form of increased consumer trust in local brands, enhanced sales potential, and better preparedness of MSMEs to compete in the digital market. Moving forward, this training can be replicated in various local business communities as part of a technology-based community economic empowerment effort.
Pelatihan Analisis Bibliometrik Berbasis Vosviewer dan Publish or Perish Bagi Dosen Kopertip Indonesia Dadang Sudrajat; Bani Nurhakim; Suteja; Syaiful Imanudin
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 03 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Strengthening the research capacity of university lecturers is a crucial aspect of improving the quality of higher education in Indonesia. One relevant skill to support research development and scientific publication is the ability to conduct bibliometric analysis. This analysis is useful for mapping research trends, identifying scientific collaborations, and determining potential research topics through the study of references and citations. This Community Service Program (PKM) aims to provide training in bibliometric analysis using the software tools VOSviewer and Publish or Perish for lecturers affiliated with Kopertip Indonesia (Coordinator of Indonesian Private Universities). The training was conducted both online and offline, using a combination of theoretical and practical approaches. The materials covered included basic bibliometric concepts, methods for accessing scholarly publication data (e.g., from Google Scholar and Scopus), and hands on practice using Publish or Perish to extract bibliometric data and VOSviewer to visualize the analysis results in the form of term maps and author collaboration networks. The training was also complemented by case studies from various fields of science. Evaluation results indicated that the training improved participants’ understanding and skills in using both tools. Participating lecturers reported increased confidence in mapping research topics, selecting relevant journals, and planning more targeted publication strategies. This activity not only enhanced digital research competencies but also encouraged lecturers to be more productive in contributing to national and international scientific outputs. In the future, this type of training can be replicated across other higher education environments as part of efforts to strengthen a data-driven academic ecosystem.
Co-Authors Abrar Hiswara Ade Rizki Rinaldi Ahmad Faqih Ahmad Rifai Ajudin Arif Rinaldi Dikananda Arif Rinaldi Dikananda Bani Nurhakim Bani Nurhakim Cep Lukman Rohmat Dian Ade Kurnia Dian Ade Kurnia Fadhil Muhammad Basysyar Fatihanursari Dikananda Gifthera Dwilestari Harry Budi Santoso Hery Widijanto Jayawarsa, A.A. Ketut Khaerul Anam Lana Surlanto Martanto Nisa Dienwati Nuris Novianti Indah Putri Odi Nurdiawan Raditya Danar Dana Rinovian Rais Riri Narasati Rudi Kurniawan Saeful Amri Selvi Andini suroso, amat Suteja Syaiful Imanudin Ujang Supriatna Yudhistira Arie Wijaya Zen Munawar