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Pelatihan Deployment Aplikasi Berbasis Website SMK Pawiyatan Surabaya Pratomo, Baskoro Adi; Zaini, Alfa Fakhrur Rizal; Teja, Andika Rahman; Prinandika, Arya Gading; Fadhila, Farah Dhia; Arsyad, Hammuda; Fikriansyah, Irsyad; Al Kanza, Kalyana Putri; Vinorian, Muhammad Ersya; Diani, Nabila A'idah; Pramudya, Rafli Raihan; Ahmad, Tohari; Santoso, Bagus Jati; Studiawan, Hudan; Shiddiqi, Ary Mazharuddin; Alzamzami, Moch. Nafkhan; Anggoro, Radityo; Djanali, Supeno; Ijtihadie, Royyana Muslim; Suadi, Wahyu
Sewagati Vol 8 No 5 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i5.2091

Abstract

Permintaan akan tenaga kerja terampil di bidang pengembangan perangkat lunak dan website terus meningkat seiring dengan pertumbuhan industri teknologi informasi. Di tengah situasi ini, banyak sekolah yang berupaya memenuhi kebutuhan tersebut dengan membuka program-program pendidikan khusus dalam pengembangan perangkat lunak dan website . Salah satu contohnya adalah SMK Pawiyatan Surabaya. Sebagai respons terhadap kondisi ini, kami berencana untuk menyelenggarakan program pelatihan kompetensi yang fokus pada deployment aplikasi berbasis website . Strategi pelaksanaan program ini dirancang secara terstruktur, dimulai dari pembelajaran konsep dasar hingga penerapan praktis deployment aplikasi secara langsung. Selain itu, program ini akan dilengkapi dengan evaluasi progres berkala guna memantau dan meningkatkan pemahaman serta keterampilan peserta sepanjang program berlangsung. Output yang diharapkan dari program ini termasuk laporan kegiatan yang komprehensif, dokumentasi video untuk memperlihatkan tahapan pelaksanaan program, serta berita acara yang mencatat semua aspek terkait program pelatihan ini. Dengan mengimplementasikan program pelatihan kompetensi deployment aplikasi berbasis website ini, SMK Pawiyatan Surabaya diharapkan dapat memberikan kontribusi yang signifikan dalam mempersiapkan generasi muda Indonesia untuk menjadi tenaga kerja yang kompeten dan siap beradaptasi dengan dinamika industri teknologi informasi global.
EPR-Stego: Quality-Preserving Steganographic Framework for Securing Electronic Patient Records Safitri, Wardatul Amalia; Arsyad, Hammuda; Croix, Ntivuguruzwa Jean De La; Ahmad, Tohari; Batamuliza, Jennifer; Basori, Ahmad Hoirul
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 1 (2026): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i1.1172

Abstract

Secure medical data transmission is a fundamental requirement in telemedicine, where information is often exchanged over public networks. Protecting patient confidentiality and ensuring data integrity are crucial, particularly when sensitive medical records are involved. Steganography, an information hiding technique, offers a promising solution by embedding confidential data within medical images. This approach not only safeguards privacy but also supports authentication processes, ensuring that patient information remains secure during transmission. This study introduces EPR-Stego, a novel steganographic framework designed specifically for embedding electronic patient record (EPR) data in medical images. The key innovation of EPR-Stego lies in its mathematical strategy to minimize pixel intensity differences between neighboring pixels. By reducing usable pixel variations, the framework generates a stego image that is visually indistinguishable from the original, thereby enhancing imperceptibility while preserving diagnostic quality. Additionally, the method produces a key table, required by the recipient to accurately extract the embedded data, which further strengthens security against unauthorized access. The design of EPR-Stego aims to prevent attackers from easily detecting the presence of hidden medical information, mitigating the risk of targeted breaches. Experimental evaluations demonstrate its effectiveness, with the proposed approach achieving Peak Signal to Noise Ratio (PSNR) values between 51.71 dB and 75.59 dB, and Structural Similarity Index Measure (SSIM) scores reaching up to 0.99. These metrics confirm that the stego images maintain high visual fidelity and diagnostic reliability. Overall, EPR-Stego outperforms several existing techniques, offering a robust and secure solution for medical data transmission. By combining imperceptibility, security, and quality preservation, the framework addresses the pressing need for reliable protection of patient information in telemedicine environments