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All Journal Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems
Nurfaisa Riono
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Computer Science & IT Education

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Peningkatan Restorasi Citra Dengan Metode Super Resolusi Menggunakan Teknik FSRCNN Andi Dio Nurul Awalia; Nurfaisa Riono; Abd Majid; Ainun Mardiah; Marwan Ramdhany Edy
Information Technology Education Journal Vol. 3, No. 3, September (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

Penggunaan metode Super Resolusi dengan teknik Fast Super-Resolution Convolutional Neural Network (FSRCNN) telah menjadi salah satu fokus utama dalam pengolahan citra untuk meningkatkan kualitas gambar. FSRCNN, sebagai metode berbasis deep learning, telah terbukti memberikan hasil yang menjanjikan pada tugas super-resolusi citra tunggal (SISR). Penelitian ini mengkaji penggunaan metode Super Resolusi dengan teknik FSRCNN dalam peningkatan kualitas citra. Selain itu, penelitian ini juga membahas landasan teori dari metode Super Resolusi dan teknik FSRCNN, implementasi praktisnya dalam pengolahan citra, serta evaluasi hasil yang diperoleh dari penerapan metode ini. Hasil penelitian menunjukkan bahwa FSRCNN mampu meningkatkan kualitas citra dengan mempertimbangkan berbagai aspek dalam proses super-resolusi.
Effectiveness of Digital Intervention on Improving Mental Health Literacy and Health Service Utilization Hidayat, Akmal; Nur Aeni Rahman; Zahrotul Ainil Mahfudhah Umar; Nurfaisa Riono; Abd Majid
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i1.7700

Abstract

The purpose of this study is to assess how well the "MindWell" information system facilitates the assessment and tracking of users' mental health. "MindWell" is an online resource created to give consumers quick and simple access to mental health assessments, educational materials, and expert advice. Using cutting-edge web technology, this system offers real-time screening services, ensures user data confidentiality and privacy, and includes features like mental health education, support service referrals, and monitoring. The system's capacity to offer pertinent information and assist users in understanding their mental health disorders was examined, along with input from beta users and a series of trial runs. The findings demonstrated that "MindWell" was successful in raising users' awareness of mental health issues, assisting in the early detection of mental health issues, and giving them access to helpful resources. It is envisaged that the deployment of this system will aid in the pursuit of more widespread and long-lasting improvements in mental health.
Co-Authors Abd Majid Ainun Mardiah Akmal Hidayat Andi Dio Nurul Awalia Marwan Ramdhany Edy Nur Aeni Rahman Zahrotul Ainil Mahfudhah Umar