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All Journal IJCIT (Indonesian Journal on Computer and Information Technology) Technomedia Journal IJISTECH (International Journal Of Information System & Technology) Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal International Journal for Educational and Vocational Studies ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics IJISTECH Jurnal Manajemen Retail Indonesia (JMARI) Indonesian Journal Accounting (IJAcc) International Journal of Cyber and IT Service Management (IJCITSM) IPSIKOM International Transactions on Artificial Intelligence (ITALIC) Masyarakat: Jurnal Pengabdian Journal of Computer Science and Technology Application
Rafika, Ageng Setiani
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : journal of computer science and technology application

 1 
Secure Communication in Solar Panel Monitoring Systems Using SmartPLS Ageng Setiani Rafika; Dhimas Tribuana; Rohim Rohim; Agung Rizky; Chua Toh Hua
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/gtmmg783

Abstract

This study investigates the factors shaping secure communication architecture in solar panel monitoring systems within smart grid environments, focusing on cybersecurity, data integrity, and system reliability. The integration of solar photovoltaic systems with digital monitoring networks enhances real-time energy management but introduces communication vulnerabilities affecting monitoring accuracy and operational stability. This study aims to assess how Network Security, Data Integrity, and System Reliability contribute to Secure Communication Architecture and Monitoring Performance. A quantitative research design was employed, and the proposed model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS. The research model included five constructs: Network Security, Data Integrity, System Reliability, Secure Communication Architecture, and Monitoring Performance. Results indicate that Network Security significantly and positively affects Secure Communication Architecture, while Data Integrity positively influences both Secure Communication Architecture and System Reliability. Furthermore, Secure Communication Architecture and System Reliability both contribute positively to Monitoring Performance. The measurement model demonstrated acceptable reliability and validity, confirming construct robustness. These findings highlight that effective solar panel monitoring systems depend not only on technical energy infrastructure but also on secure, reliable communication networks that ensure accurate and timely data exchange. The study concludes that strengthening cybersecurity mechanisms, data integrity controls, and communication reliability is essential to improve monitoring performance and support resilient smart grid-based renewable energy management.
AI-Driven Big Data Solutions for Personalized Healthcare: Analyzing Patient Data to Improve Treatment Outcomes Ageng Setiani Rafika; Adam Faturahman; Bintang Nandana Henry; Firdaus Dwi Yulian; Mohammed Hassan
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.61

Abstract

The advent of AI-driven big data solutions has transformed personalized healthcare by enabling the analysis of vast and complex patient datasets to optimize treatment outcomes. This study aims to evaluate the effectiveness of AI models in improving healthcare delivery through enhanced diagnostic accuracy, reduced processing times, and personalized treatment plans. The research utilizes AI models to process extensive patient data from electronic health records, wearable devices, and genetic information. The results show an impressive accuracy rate of 93%, a 25% reduction in diagnostic errors, and significant improvements in patient outcomes, including 72% of patients receiving more accurate diagnoses and 65% experiencing faster recovery. A comparison with traditional methods highlights the advantages of AI in scalability, efficiency, and reliability, offering a clear improvement over existing healthcare approaches. However, challenges such as data bias, ethical concerns, and scalability need to be addressed to en- sure the responsible application of AI in healthcare systems. In conclusion, this research provides valuable insights for healthcare organizations that aim to implement AI-driven solutions, fostering the advancement of patient care and encouraging innovation in the industry. The findings suggest that AI-powered big data solutions have the potential to revolutionize healthcare, improving diagnostic precision and treatment personalization, ultimately enhancing patient satisfaction and outcomes.
Cybersecurity Strategies for Preventing Ransomware Attacks in Cloud-Based Applications Ageng Setiani Rafika; Sora Baltasar; Alfri Adiwijaya; Mochamad Heru Riza Chakim; Zhask Stefano Rizky
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.77

Abstract

Ransomware attacks have become a significant threat to cloud-based applications, posing severe risks to organizations' data integrity, financial stability, and operational continuity. This paper explores the challenges of securing cloud environments against ransomware, focusing on vulnerabilities such as inadequate encryption, weak access controls, and multi-tenancy risks. Through an in-depth analysis, the paper identifies the most common types of ransomware targeting cloud applications, including file encryption and data exfiltration ransomware, and discusses the security weaknesses that facilitate these attacks. The paper further evaluates existing cybersecurity strategies, such as data encryption, multi-factor authentication (MFA), and continuous monitoring, highlighting their effectiveness in preventing ransomware attacks. Based on these findings, a comprehensive framework is proposed, combining technical solutions like strong encryption and AI-based threat detection with organizational practices such as regular employee training and backup solutions. The study also emphasizes the importance of collaboration between cloud service providers and organizations to enhance overall cloud security. By adopting a multi-layered approach and integrating emerging technologies, organizations can significantly improve their resilience against ransomware threats. This research contributes to the ongoing dialogue on cloud security by providing actionable recommendations for preventing ransomware attacks and safeguarding cloud-based applications from evolving cyber threats.
Co-Authors . Isdiarto Abdu Roqy Adam Faturahman Agung Lorenzo Agung Rizky Ahmad Roihan Ahmad Roihan, Ahmad Alfri Adiwijaya Ananda Dian Alifah Andri Ahmad Gozali Andriyansah . Anisa Pujianti Arief Saptono Aris Martono Asep Saefullah Asep Saifudin Asmawati, Ari Bintang Nandana Henry Budi, Danang Surya Chua Toh Hua Dadi Adriana Dedy Prasetya Kristiadi Dendy Jonas Dendy Jonas Dendy Jonas Managas Derry Prasetyo Deviana Ika Putri Dhimas Tribuana Dwi Julianingsih Eduard Hotman Purba Erick Febriyanto Euis Sitinur Aisyah Faridah, Ida Fauzan, Jimmy Ferry Firmansyah Ferry Sudarto Fikrah Syafa’ah Finnike Maysarah Firdaus Dwi Yulian Fitroh Diah Widiarti Giandari Maulani, Giandari Gregory, Jesus Gulo, Nitema H. Suhada Hanifah Yunan Putri Henderi . Hendra Kusumah Hendra Kusumah Hidayati Hidayati Hiroshi Kenta I Gusti Wayan Murjana Yasa Iksan Wahyu Permadi Ilamsyah Ilamsyah, Ilamsyah Imam Aji Santoso jawahir, Jawahir Jesus Gregory Ki Ahmad Saputro Lena Magdalena Mardiana Mardiana Mardiana Mardiana Mardiana Marviola Hardini Mayang Septiawati Meidy Surya Hadi Putra Mochamad Heru Riza Chakim Mohammed Hassan Muchlisina Madani Muhamad Yusup Mukti Budiarto Nugroho, Purnomo Satria Nurlaila Suci Rahayu Rais Oleh Soleh Oliver Sauntos Otniel Feliks Putra Wahyudi Padeli Po Abas Sunarya Pramita Retno Ayuning Tyas Purnomo Satria Nugroho Putri, Adisa Lahmania Raharjo, Ristian Rani Putri Merliasari Ridho Firdaus Ristian Raharjo Riyan Nova Saputra Rohim Rohim Safriyati, Evi saifudin, Asep Sangaji, Aziz Andrean Siskawati Sanusi Sora Baltasar SRI RAHAYU Sri Sulistyaningsih Sudaryono Sudaryono Sunandar, Endang Suparman, Ade Supriyono, Ignatius Agus Tamara Dian Anggiani Tarigan, Pelinta Triyono Triyono Wahyu Budianto Warseno Winda Larasati Winda Larasati Wirawan, Mohammad Fiki Wisnu Dwi Andoyo Yasin Nur Hidayat Yusuf Firdaus Zakaria, Noor Azura Zebua, Selamat Zhask Stefano Rizky