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All Journal Medula Journal of Science and Applicative Technology JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai
Mohamad Idris
Institut Teknologi Sumatera
Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Engineering Health Professions Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences

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Analisis Prestasi Akademik Mahasiswa Teknik Informatika Institut Teknologi Sumatera (ITERA) Berdasarkan Jalur Seleksi Masuk Perguruan Tinggi Negeri Mohamad Idris
Journal of Science and Applicative Technology Vol 5 No 1 (2021): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v5i1.410

Abstract

Indicators of student success in the academic at university is the Cumulative grade point average (GPA). Assessed from the Selection Pathways students for State Universities, it is suspected that there are differences in the academic achievement of students. Therefore, this study aims to determine and analyze the academic achievement of students based on the Selection Pathways students at the Department of Informatics Engineering, ITERA. This research is a quantitative research. The population in this study were all students who still active at the Department of Informatics Engineering generation 2017, 2018, and 2019. The samples of this study were 239 (SNMPTN), 239 (SBMPTN), and 35 (Mandiri). The data collection methods were conducted using documentation techniques in the form of GPA data’s students and the Selection Pathways students. Data were analyzed using the ANOVA test. The results of data analysis research were obtained an average GPA of students in the SNMPTN (2.93), SBMPTN (2.89), and Mandiri (2.59). Result of ANOVA test showed that F count (4.363) > F table (3.0133). The conclusion of this study showed that there are significant differences in the academic achievement of students Based on the Selection Pathways for State Universities.
Tinjauan Literatur Sistematis: Protokol Kriptografi untuk Menjamin Keamanan dan Privasi Data Genomik Angga Wijaya; Mohamad Idris; Linda Septiani; George Pestalozi
Medula Vol 15 No 4 (2025): Medula
Publisher : CV. Jasa Sukses Abadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53089/medula.v15i4.1840

Abstract

Advances in Next-Generation Sequencing (NGS) technology have enabled large-scale genomic data digitalization to support precision medicine. However, the static, sensitive, and hereditary nature of genomic data poses significant privacy risks for individuals and their families. This study aims to conduct a systematic literature review of modern cryptographic protocols designed to secure genomic data. The research applies a Systematic Literature Review (SLR) approach by analyzing relevant scientific publications from 2018 to 2026 across multiple reputable databases. The findings indicate that Homomorphic Encryption (HE) enables computation on encrypted data without decryption, ensuring strong privacy protection, but faces challenges related to computational efficiency. Secure Multi-party Computation (SMPC) supports secure collaboration across institutions without exposing raw data, although it requires substantial communication and bandwidth resources. Meanwhile, Differential Privacy (DP) provides a more efficient approach but may compromise data accuracy, particularly in clinical decision-making contexts. In addition, hybrid approaches, selective encryption strategies, and the integration of post-quantum cryptography are emerging as promising solutions to address scalability and long-term security challenges in genomic big data. Alignment with regulatory frameworks such as Indonesia’s Personal Data Protection Law is also critical for practical implementation. Therefore, developing adaptive, efficient, and sustainable genomic data security systems is essential to support a secure, ethical, and trustworthy national health data ecosystem.
Pelatihan Pemanfaatan Artificial Intelligence untuk Meningkatkan Pengetahuan dan Akses Informasi Kesehatan bagi Masyarakat mohamad idris; linda septiani; Angga Wijaya
JPM (Jurnal Pengabdian Masyarakat) Ruwa Jurai Vol. 11 No. 1 (2026): JURNAL PENGABDIAN MASYARAKAT RUWA JURAI
Publisher : FK Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpmrj.v11i1.3947

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah menghadirkan inovasi baru dalam penyediaan informasi kesehatan yang lebih cepat, praktis, dan mudah diakses oleh masyarakat. Namun, kemampuan masyarakat dalam memanfaatkan teknologi tersebut secara optimal masih perlu ditingkatkan, khususnya dalam memperoleh informasi kesehatan yang akurat dan terpercaya. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan literasi digital serta kemampuan jamaah majlis taklim Al Inabah, Lampung Selatan dalam menggunakan teknologi AI sebagai media pencarian informasi kesehatan. Pelaksanaan kegiatan dilakukan dengan metode edukasi berupa penyampaian materi, demonstrasi penggunaan aplikasi AI, dan praktik langsung pemanfaatan chatbot berbasis AI untuk mencari informasi kesehatan sehari-hari. Materi yang diberikan mencakup pengenalan konsep AI, pemanfaatannya dalam bidang kesehatan, serta pentingnya verifikasi informasi guna mencegah penyebaran hoaks kesehatan di lingkungan masyarakat. Evaluasi dilakukan melalui pre-test, post-test, dan observasi selama kegiatan berlangsung. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan peserta menjadi 88 % dalam memanfaatkan AI sebagai sumber informasi kesehatan yang cepat dan mudah diakses. Program pelatihan ini diharapkan dapat menjadi sarana edukasi yang efektif dalam memperluas akses informasi kesehatan berbasis teknologi di masyarakat. Kata Kunci: Artificial Intelligence, informasi kesehatan, literasi digital, edukasi kesehatan.
Pemanfaatan Citra Digital dalam Bidang Kesehatan: Tinjauan Literatur Mohamad Idris; Linda Septiani
Medula Vol 16 No 3 (2026): Medula
Publisher : CV. Jasa Sukses Abadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53089/medula.v16i3.2028

Abstract

The development of digital technology has driven significant transformation in healthcare, particularly through the utilization of digital imaging. The application of digital imaging in healthcare includes disease diagnosis, radiological analysis, early disease detection, identification of herbal medicinal plants, patient monitoring, telemedicine, and the development of Artificial Intelligence (AI)-based healthcare systems to enhance the accuracy and efficiency of medical services. This study examined the utilization of digital imaging in healthcare based on various relevant studies. The method used in this study was a literature review conducted by collecting and analyzing national and international scientific articles related to digital image processing in healthcare. The results of the literature review indicate that digital imaging plays an important role in improving the effectiveness of diagnosis, medical analysis, and telemedicine services. Artificial Intelligence (AI) technologies, particularly deep learning and Convolutional Neural Networks (CNN), have demonstrated high accuracy in medical image processing, while image compression technology improves the efficiency of medical data transmission. However, its implementation still faces several challenges, including limitations in technological infrastructure, image quality, internet connectivity, and patient data security. Therefore, the development of digital imaging technology in healthcare needs to be continuously improved to support a more optimal healthcare system. Keywords: artificial intelligence, digital imaging, medical diagnosis, healthcare, technology
Co-Authors Angga Wijaya Angga Wijaya George Pestalozi Linda Septiani Linda Septiani