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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) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Indonesian Journal Accounting (IJAcc) Jurnal Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) IPSIKOM International Transactions on Artificial Intelligence (ITALIC) 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 
AI-Driven Big Data Solutions for Personalized Healthcare: Analyzing Patient Data to Improve Treatment Outcomes Rafika, Ageng Setiani; Faturahman, Adam; Henry, Bintang Nandana; Yulian, Firdaus Dwi; Hassan, Mohammed
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; Adiwijaya, Alfri; Riza Chakim, Mochamad Heru; Stefano Rizky, Zhask
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 Adiwijaya, Alfri Ahmad Roihan Ahmad Roihan, Ahmad Ananda Dian Alifah Andri Ahmad Gozali Andriyansah . Anisa Pujianti Arief Saptono Aris Martono Asep Saefullah Asep Saifudin Asmawati, Ari Budi, Danang Surya Dadi Adriana Dedy Prasetya Kristiadi Dendy Jonas Managas Derry Prasetyo Deviana Ika Putri Dwi Julianingsih Eduard Hotman Purba Erick Febriyanto Evans, Richard Faridah, Ida Faturahman, Adam Fauzan, Jimmy Ferry Firmansyah Ferry Sudarto Fikrah Syafa’ah Finnike Maysarah Fitroh Diah Widiarti Giandari Maulani, Giandari Gregory, Jesus Gulo, Nitema H. Suhada Hanifah Yunan Putri Hassan, Mohammed Henderi . Hendra Kusumah Henry, Bintang Nandana Hidayati Hidayati Hiroshi Kenta I Gusti Wayan Murjana Yasa Ikhsan, Ramzi Zainum Ilamsyah Ilamsyah, Ilamsyah Imam Aji Santoso jawahir, Jawahir Jesus Gregory Ki Ahmad Saputro Lena Magdalena Mardiana Mardiana Mardiana Mardiana Marviola Hardini Mayang Septiawati Meidy Surya Hadi Putra Mochamad Heru Riza Chakim Mohamad Agus Setiawan Mukti Budiarto Ninda Lutfiani Nugroho, Purnomo Satria Nurlaila Suci Rahayu Rais Po Abas Sunarya Pramita Retno Ayuning Tyas Purnomo Satria Nugroho Putri, Adisa Lahmania Raharjo, Ristian Rani Putri Merliasari Ristian Raharjo Riyan Nova Saputra Riza Chakim, Mochamad Heru Safriyati, Evi saifudin, Asep Sangaji, Aziz Andrean Siskawati Sanusi Sora Baltasar SRI RAHAYU Sri Sulistyaningsih Stefano Rizky, Zhask 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 Yulian, Firdaus Dwi Yusuf Firdaus Zakaria, Noor Azura Zebua, Selamat