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All Journal BERKALA SAINSTEK Paradigma JURNAL MEDIA INFORMATIKA BUDIDARMA Jiko (Jurnal Informatika dan komputer) Jurnal Ilmu-Ilmu Kesehatan Jurnal ABDINUS : Jurnal Pengabdian Nusantara Community Empowerment EXPLORER Jurnal Ilmu-Ilmu Kesehatan Sekolah Tinggi Ilmu Kesehatan Garuda Putih Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Journal of Hospital Administration and Management (JHAM) Jurnal Manajemen Sistem Informasi Nuansa Informatika ABDIMAS CSRID ARUMAS Systematic Literature Review Journal JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) KREATIF: Jurnal Pengabdian Masyarakat Nusantara Global Science: Journal of Information Technology and Computer Science Cyber Security and Network Management
Rudolf Sinaga
Universitas Dinamika Bangsa
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Segmentasi Pasien Berbasis K-Means dari Tanda-tanda Vital dan Demografi : Pendekatan Unsupervised Learning untuk Profil Risiko Klinis Renny Afriany; Rudolf Sinaga; Samsinar Samsinar
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1811

Abstract

Digital transformation in the health system demands the use of clinical data more strategically to support evidence-based decision-making. This study aims to explore the application of the K-Means Clustering algorithm in patient segmentation based on a combination of vital signs (systolic and diastolic blood pressure) and demographic characteristics (age, weight, and gender). Data on 1,401 outpatients was obtained from the medical record system of a hospital in Indonesia, then processed through the stages of preprocessing, standardization, and dimensionality reduction using PCA. The results of the elbow method showed that the optimal number of clusters was 3 (k=3). Descriptive analysis showed that Cluster 0 consisted of 100% women with normal blood pressure (124/77 mmHg) and an average body weight of 55.6 kg; Cluster 1 consists of the majority of women with high blood pressure (160.8/98.8 mmHg); while Cluster 2 includes 100% of men with blood pressure leading to pre-hypertension (130.1/80.7 mmHg). PCA visualizations show fairly clear cluster separation, with Cluster 1 having the most clinically distinct characteristics. The conclusion of this study is that the K-Means-based unsupervised learning approach is effective in identifying latent risk patterns in patient populations, as well as the potential to support clinical risk mapping and preventive health policies. Future recommendations include the integration of this method in EMR systems and the expansion of studies on national datasets.
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.
CyberBERT: A Semantic Search Framework for Security Terminologies Using Transformer Models Sinaga, Rudolf; Frangky
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 4 (2025): December: Global Science: Journal of Information Technology and Computer Scienc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i4.179

Abstract

: The rapid expansion of cybersecurity standards and threat intelligence frameworks has led to significant semantic fragmentation among security terminologies, hindering effective information retrieval and interoperability across systems. Traditional keyword-based search approaches are inadequate for capturing the contextual meaning of security terms, particularly within formal frameworks such as NIST, MITRE ATT&CK, and CWE. This study addresses this challenge by proposing CyberBERT, a transformer-based semantic search framework designed to align cybersecurity terminologies through deep contextual representation and ontology-driven reasoning. Research Objectives: The primary objective of this research is to develop a semantic retrieval model capable of understanding conceptual relationships between security terms beyond lexical similarity. Methodology: The proposed methodology fine-tunes a BERT-based model on the NIST Glossary corpus using a combination of masked language modeling and triplet loss objectives to generate discriminative semantic embeddings. These embeddings are further aligned with cybersecurity ontologies, including MITRE ATT&CK and CWE, to enhance semantic consistency and explainability. Semantic retrieval is performed using cosine similarity within a 768-dimensional embedding space and evaluated using Mean Reciprocal Rank (MRR) and Precision@K metrics. Results: Experimental results demonstrate that CyberBERT achieves an MRR of 0.832, outperforming domain-adapted baselines such as SecureBERT and CyBERT. The integration of ontology alignment improves semantic accuracy by over 6%, while robustness evaluations confirm resilience against adversarial linguistic perturbations. Visualization using t-SNE reveals coherent semantic clustering aligned with the five core NIST Cybersecurity Framework functions. Conclusions: In conclusion, CyberBERT effectively bridges semantic gaps across cybersecurity terminologies by combining transformer-based contextual learning with ontological reasoning. The framework offers a robust, interpretable, and scalable solution for semantic search, supporting improved interoperability and knowledge discovery in cybersecurity operations and standards harmonization.
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.
Co-Authors Adha Taufik, Anvika Afriany, Renny Errissya Rasywir Frangk Frangky Frangky Frangky Frangky Frangky Frangky Frangky Frangky Frangky Frangky Taan Frangky, Frangky Ika Widyastuti Irwandi Irwandi Lely Priska D Tampubolon M. Yogi Riyantama Isjoni N, Renny Afriany Nurhadi Nurhadi Raihansyah, M. Renny Afriany Renny Afriany Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Samsinar Soomal Fatima Yovi Pratama Zhenya, Zhenya Zeldha Elyzvania