Claim Missing Document
Check
Articles

Found 35 Documents
Search

Meningkatkan Kompetensi Digital Guru SD melalui Pelatihan Desain Modul Ajar Kreatif dengan Canva di Kota Jambi Renny Afriany; Samsinar Samsinar; Rudolf Sinaga; Frangky Frangky; Ika Widyastuti
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 4 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i4.8851

Abstract

This community service activity aims to improve the digital competence and creativity of elementary school teachers in Jambi City through training in making teaching modules using the Canva platform. The main problem faced by teachers is the limited ability to design digital teaching materials that are attractive and in accordance with the demands of the Independent Curriculum. The training was held at SD Negeri 176 Jambi City on July 30, 2025 with interactive lectures, direct demonstrations, and independent practice. Participants consisted of elementary school teachers from several schools in Jambi City. Training materials include an introduction to Canva, the basic principles of educational graphic design, the creation of learning outcomes-based learning modules, and the publication of design results. Evaluation is carried out through pre-test and post-test, observation of participant activities, and assessment of the digital teaching module products produced. The results of the evaluation showed a significant improvement in participants' understanding and skills, with more than 90% of participants experiencing an increase in scores, and 85% stating that they would use Canva regularly in the preparation of teaching materials. In addition, participants showed high enthusiasm and produced teaching modules that were creative and contextual to the needs of students. This activity contributes to strengthening pedagogic competence, digital literacy, and learning innovation in the basic education environment, as well as being a concrete step to support the digital transformation of education in Jambi City.
FT Pelatihan Pembuatan Evaluasi Pembelajaran dengan Menggunakan Google Formulir bagi Guru SDN 96/IV Kota Jambi Sinaga, Rudolf; Afriany, Renny; Samsinar, Samsinar
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 8 No 1 (2024): Volume 8 Nomor 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v8i1.21813

Abstract

SD Negeri 96/IV is at Jalan Sunan Bonang RT. 32 Kel. Simpang III Sipin Kec. Kota Baru Jambi City. In the implementation of learning evaluation, teachers at this school apart from using the paper-based system, have also tried to use other media, such as Quiziz, and Google Forms. But in practice, it is still not used optimally, because the teachers have not gained good knowledge of the features and capabilities of each of these applications. Making learning evaluations is an important part of an effective learning process. Therefore, in the digital era, one of the most suitable media to use is Google Forms, because Google Forms can be used as a tool that can improve the quality and effectiveness in making learning evaluations or exam questions with several question models such as multiple choice, essay, and can add images and videos to the questions. Google Forms will also make it easier for teachers to collect and analyze exam data. Community service at this school was carried out in March 2023. Activities are carried out using presentation, training, and evaluation methods. The conclusions obtained through this community service activity are: 1. Improve teachers' understanding at SDN 96/IV about the features and capabilities of Google Forms, 2. Improve teachers' knowledge at SDN 96/IV in making learning evaluations using Google Forms.
Penerapan ISO/IEC 27001:2022 dalam Tata Kelola Keamanan Sistem Informasi: Evaluasi Proses dan Kendala Rudolf Sinaga; Frangky Taan
NUANSA INFORMATIKA Vol. 18 No. 2 (2024): Nuansa Informatika 18.2 Juli 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i2.205

Abstract

Implementing ISO/IEC 27001:2022 in information security management is crucial and timely due to the increasing cyber threats, the necessity for regulatory compliance, and the significance of information security as a competitive edge. The latest revision of this standard demands proper adaptation and implementation to ensure effective information security management across various organizations. This study examines the key components of ISO/IEC 27001:2022, including organizational context, leadership, planning, support, operations, performance evaluation, and improvement. It delves into the application of ISO/IEC 27001:2022 in security system governance, emphasizing how this standard can enhance risk management and information security within an organization. A case study on a logistics company adopting this standard was conducted to identify best practices, implementation challenges, and its impact on security and regulatory compliance. The study's findings demonstrate that implementing ISO/IEC 27001:2022 effectively improves an organization's information security posture by integrating security policies, procedures, and controls into business processes. These findings offer recommendations as practical guidelines for organizations aiming to strengthen their information security management through the adoption of globally recognized international standards.
ANALISIS TINGKAT KEPUASAN PETUGAS REKAM MEDIS ELEKTRONIK DENGAN PENDEKATAN END-USER COMPUTING SATISFACTION Zhenya, Zhenya Zeldha Elyzvania; Irwandi, Irwandi; Adha Taufik, Anvika; Sinaga, Rudolf
Journal of Hospital Administration and Management (JHAM) Vol 6 No 2 (2025): Journal of Hospital Administration and Management (JHAM)
Publisher : LPPM Universitas Awal Bros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54973/jham.v6i2.682

Abstract

The implementation of electronic recording systems like Electronic Medical Records (EMR) is expected to ease and accelerate service provision. However, EMR applications don't always fully support healthcare professionals in their duties. Therefore, an evaluation is crucial to identify system weaknesses. User satisfaction with electronic medical records is a key indicator of information system success. This study aimed to determine the satisfaction level of electronic medical record officers using the End-User Computing Satisfaction (EUCS) method, based on the dimensions of Content, Accuracy, Format, Ease of Use, and Timeliness. This descriptive quantitative study used a survey method, distributing questionnaires to 39 EMR user officers. Data analysis involved descriptive statistics and hypothesis testing using multiple linear regression. The results showed all variables were in the very satisfied category, with average values of Content 4.33, Accuracy 4.31, Format 4.35, Ease of Use 4.23, and Timeliness 4.27. The F-test also indicated that all five EUCS variables simultaneously had a significant effect on user satisfaction. Thus, it can be concluded that the EMR system at UPTD Koni Health Center has met end-user expectations regarding its operations. UPTD Koni Health Center is advised to continuously improve the quality of the EMR system, conduct ongoing evaluations and improvements in areas with a medium satisfaction level, and strategically plan EMR system development to support more efficient health services.
ANALYSIS OF SECURITY CHALLENGES IN REST API IN EDGE COMPUTING-BASED IOT ECOSYSTEM: A REVIEW Rudolf Sinaga; Samsinar Samsinar; Soomal Fatima; Frangky Frangky
JIKO (Jurnal Informatika dan Komputer) Vol 8 No 2 (2025)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i2.10097

Abstract

REST APIs are the backbone of data communication in the Internet of Things (IoT)-based edge computing ecosystem because they are lightweight and flexible. However, the REST architecture's openness and the edge devices' limited resources give rise to security challenges such as MITM, spoofing, and replay attacks. This study aims to identify the key challenges of REST API security in IoT edge environments, evaluate the limitations of conventional solutions such as TLS and RSA/ECDSA algorithms, and explore the potential of Post-Quantum Signature-based digital authentication approaches (PQS). Through a comprehensive narrative literature review of 43 peer-reviewed publications (2020-2025), this research reveals two key findings: the results show that TLS generates significant overhead in memory and energy, while classical algorithms do not resist quantum threats. PQS schemes such as Falcon and Dilithium have proven more efficient and secure in limited devices. The study concludes that PQS-based lightweight authentication approaches have strong prospects for implementation in future REST API gateway architectures, particularly in supporting electronic-based governance systems (SPBEs).
A Comprehensive Study on Blockchain Based Cryptographic Key Management and Secure Communication Protocols for Large Scale Cyber Physical Systems in Industrial Environments Rudolf Sinaga; Lely Priska D Tampubolon
Cyber Security and Network Management Vol. 1 No. 1 (2026): February: Cyber Security and Network Management
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/cybernet.v1i1.12

Abstract

The increasing integration of Cyber physical Systems (CPS) into industrial environments has highlighted the need for secure, scalable, and efficient cryptographic key management systems. Traditional centralized key management protocols are often limited by vulnerabilities such as single points of failure, scalability issues, and significant overhead. Blockchain technology presents a promising solution to these challenges by leveraging decentralization, immutability, and transparency to enhance security and efficiency in CPS. This study investigates the use of blockchain based cryptographic key management systems, focusing on smart contracts for automated key distribution and rotation. Experimental results demonstrate that blockchain based systems significantly improve system integrity, auditability, and resilience, offering enhanced protection against cyber-attacks and reducing the risks associated with centralized systems. Blockchain’s decentralized architecture eliminates the need for a central authority, making it more resistant to tampering and operational failures. Additionally, smart contracts automate the key management process, improving efficiency while maintaining a high level of security. The study also evaluates the impact of blockchain on communication performance, finding that it reduces latency and overhead by automating processes and eliminating the need for centralized control. Despite these advantages, challenges such as scalability, latency, and integration with legacy systems remain. The study concludes by suggesting future research directions, including the development of lightweight blockchain protocols tailored for industrial applications and the integration of blockchain with emerging technologies like Artificial Intelligence (AI) to further enhance key management in CPS. Blockchain based solutions have the potential to transform the security landscape of industrial environments, offering greater robustness, reliability, and trust.
Bridging the Language of Cybersecurity: A Semantic Comparison Between NIST and ISO/IEC 27000 Terminologies Eka Julianti; Dewi Andriyanti; Aji Nurrohman; Rudolf Sinaga
Global Science: Journal of Information Technology and Computer Science Vol. 2 No. 2 (2026): June: Global Science: Journal of Information Technology and Computer Science
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v2i2.203

Abstract

Abstract: Background: Inconsistent terminology across cybersecurity frameworks undermines global governance and interoperability. The National Institute of Standards and Technology Cybersecurity Framework (NIST CSF 2.0) and ISO/IEC 27001:2022 share similar objectives but diverge semantically in defining risk, control, and resilience. This semantic gap causes difficulties in compliance mapping and automated policy translation. Research Objectives: This study aims to analyze the semantic similarity and divergence between NIST and ISO/IEC 27000 terminologies, identify conceptual structures influencing interoperability, and propose an AI-assisted foundation for harmonizing cybersecurity language globally. Methodology: A mixed-method semantic comparative design integrates Natural Language Processing (NLP) and ontology mapping. Using the nist_glossary.csv dataset and ISO vocabularies, terms were normalized and analyzed via cosine similarity using sentence-transformer embeddings. Ontological alignment was visualized through the Semantic Threat Graph (STG) and validated by certified experts using Cohen’s Kappa reliability tests. Results: From 672 term pairs, results show 40.9% high semantic equivalence, 38.8% partial overlap, and 20.3% semantic divergence. Strongest alignment appears in “Protect” and “Identify” domains, while divergences occur in governance and recovery-related terms. Ontology mapping revealed three conceptual clusters—Risk Governance, Technical Safeguards, and Organizational Readiness. Conclusions: Findings confirm a 79.7% total semantic alignment, indicating strong potential for harmonizing global cybersecurity standards. The study contributes an empirical model combining computational linguistics and AI-based ontology mapping to establish semantic interoperability, enabling unified cybersecurity governance and AI-driven compliance automation. Keywords: Semantic Interoperability; Ontology Mapping; Cybersecurity Frameworks; NIST; ISO/IEC 27000 Terminology
Penerapan Komputasi Kuantum dalam Kriptografi Modern dan Sistem Keamanan Digital Rudolf Sinaga; Uswatun Kasanah
Journal of New Trends in Sciences Vol. 1 No. 4 (2023): November : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i4.779

Abstract

Quantum computing has emerged as a revolutionary paradigm, holding immense potential to solve complex problems that classical computing struggles to address. This study explores the application of quantum computing in cryptography, with a specific focus on two major quantum algorithms: Shor’s algorithm for large number factorization and Grover’s algorithm for unstructured database searching. The main objective of this research is to compare the performance of these quantum algorithms with classical cryptographic methods in terms of computational efficiency and time. Shor’s algorithm, which can factorize large numbers in polynomial time, presents a significant threat to the security of public-key cryptosystems such as RSA, which rely on the difficulty of factoring large numbers. On the other hand, Grover’s algorithm offers a quadratic speedup for searching unstructured databases, making it highly relevant for symmetric key cryptography systems like AES. In this study, simulations of both algorithms were conducted using quantum simulators to assess their speed and effectiveness in solving cryptographic challenges. The results demonstrate that quantum algorithms significantly reduce the computation time compared to classical methods, with Shor’s algorithm efficiently solving factorization problems and Grover’s algorithm accelerating key searching processes. However, while these quantum algorithms show promise in improving cryptographic systems, the implementation of large-scale quantum computers remains a challenge. This research highlights the potential of quantum computing to revolutionize data security and underscores the need for further development in quantum algorithms and the transition to quantum-resistant cryptographic systems to safeguard against the threat posed by quantum computers.
Penerapan Metode K-Means Clustering Untuk Menentukan Faktor Resiko Pada Penderita Diabetes Melitus Melda Septriani; Pareza Alam Jusia; Rudolf Sinaga; Shinta Renova Putri; Firyal Najla 'Afifah
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.94

Abstract

Diabetes Mellitus is a disease caused by the failure of the pancreas organ in producing the hormone insulin in excess causing increased blood sugar levels and resulting in a lack of insulin. This study discusses the application of the k-means clustering method to determine risk factors for diabetes mellitus. By using the clustering method, data will be grouped into several clusters or groups which in this study compare by applying several data mining tools such as RapidMiner, SPSS, WEKA, and Python. From the results of the comparison carried out resulted in 5 calculations, namely the manual calculation of cluster 1 with a ratio value of 73% being the first priority, calculations using RapidMiner resulting in cluster 3 with a ratio value of 58% being the first priority, calculations using SPSS cluster 2 with a ratio value of 34% being the first priority, and calculations using Python produce cluster 1 with a ratio value of 55% being the first priority.
Sentimen Analisis Review Aplikasi Cek Bansos Pada Google Play Store Menggunakan Metode Naïve Bayes Ary Ardiansyah; Pareza Alam Jusia; Rudolf Sinaga; Clarisa Putri Valentina; Pardede, Nadia
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.100

Abstract

The Ministry of Social Affairs has made a new breakthrough in facilitating the public in checking social assistance recipients, namely the social assistance check application. User reviews can be used to find out whether the application provides benefits to the community or not. However, these reviews need to be processed using sentiment analysis. Then to do sentiment analysis requires machine learning. One method that includes machine learning is Naïve Bayes. The purpose of this research is to implement the Naïve Bayes method in conducting sentiment analysis and find out whether the social assistance check application is beneficial to society based on the results of sentiment analysis. In this study, two categories of sentiment are used, namely positive and negative. The author collects by crawling using the Google Play Scrapper library. The results of crawling data obtained as many as 4000 data. The results showed that the actual data that had been labeled using Textblob resulted in 987 negative label reviews and 628 positive label reviews. Meanwhile, the Naïve Bayes method is able to analyze the review sentiment of the social assistance check application with the results of 1181 negative sentiments and 434 positive sentiments. The Naïve Bayes model has a good accuracy rate of 0.77 or 77% in analyzing sentiment for social assistance check application reviews.