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All Journal JOIV : International Journal on Informatics Visualization Jurnal Ners
Wijaya, Frenischa Yincenia
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing

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Smart Early Detection of Rheumatoid Arthritis Tool on Nails with a Certainty Factor Technology Approach Based on Image Processing Octavio, Abi Mufid; Syafaah, Lailis; Vhirdausia, Nuri; Wijaya, Frenischa Yincenia; Hery Soegiharto, Achmad Fauzan; Faruq, Amrul
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3252

Abstract

This study developed the Smart Early Detection Rheumatoid Arthritis (SEDRA) tool, designed to diagnose RA at an early stage by analyzing nail conditions. Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects joints, commonly in older individuals. Left untreated, RA can lead to severe complications such as pain, fatigue, paralysis, and even death. Early detection is essential to mitigate these effects. The research utilized advanced image processing techniques, MATLAB, Python, and a certainty factor approach. The experimental method involved capturing nail images, which were then processed in MATLAB to identify abnormalities associated with RA. Key nail indicators, including yellowing, brittleness, bloody splinters, textured surfaces, and jagged or perforated patterns, were validated using certainty factor technology to ensure diagnostic accuracy. The findings indicate that SEDRA effectively identifies RA through these nail features, providing accurate and timely diagnostic results. The results showed that this tool can detect Rheumatoid Arthritis disease through yellowing, brittle nails, bloody splinters, textured nails, and jagged or perforated nails. SEDRA was created to meet the needs of innovation in the health sector. SEDRA represents a breakthrough in health technology, providing a practical tool for early RA detection that can be integrated into primary healthcare systems. Its implications include improving patient outcomes by enabling early intervention and monitoring. Future research should focus on enhancing the diagnostic accuracy of SEDRA, expanding its applicability to diverse populations, and integrating it with mobile or wearable technologies to increase accessibility and usability in remote or underserved areas.
Hubungan Kualitas Tidur dengan Kualitas Hidup Family Caregiver Pasien Stroke Wijaya, Frenischa Yincenia; Rohmah, Anis Ika Nur; Husna, Chairul Huda Al; Ruhyanudin, Faqih
Jurnal Ners Vol. 9 No. 4 (2025): OKTOBER 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i4.51084

Abstract

Stroke merupakan salah satu penyebab utama disabilitas yang meningkatkan ketergantungan pasien terhadap family caregiver. Peran merawat pasien stroke dalam jangka panjang menimbulkan beban fisik, psikologis, sosial, serta gangguan kualitas tidur yang berujung pada penurunan kualitas hidup. Penelitian ini bertujuan menganalisis kualitas tidur family caregiver pasien stroke, menilai kualitas hidup pada empat domain (fisik, psikologis, sosial, lingkungan), serta mengidentifikasi domain yang paling dipengaruhi kualitas tidur. Desain penelitian adalah kuantitatif korelasional dengan pendekatan cross-sectional. Sampel sebanyak 173 family caregiver menggunakan consecutive sampling sesuai kriteria inklusi. Instrumen yang digunakan adalah Pittsburgh Sleep Quality Index (PSQI) dan WHOQOL-BREF, dengan analisis Spearman Rank. Hasil menunjukkan 93,64% responden memiliki kualitas tidur buruk. Kualitas hidup juga didominasi kategori buruk pada semua domain, dengan persentase tertinggi pada domain psikologis (87,28%). Terdapat hubungan signifikan antara kualitas tidur dengan seluruh domain kualitas hidup: kesehatan fisik (r=0,206; p=0,007), psikologis (r=0,398; p=0,000), hubungan sosial (r=0,196; p=0,010), dan lingkungan (r=0,202; p=0,008). Domain yang paling dipengaruhi kualitas tidur adalah kesehatan psikologis. Semakin buruk kualitas tidur family caregiver, semakin rendah kualitas hidup mereka, terutama pada aspek psikologis. Kata Kunci: Kualitas Tidur, Kualitas Hidup, Family Caregiver, Stroke
Co-Authors Achmad Fauzan Hery Amrul Faruq Anis Ika Nur Rohmah Chairul Huda Al Husna Faqih Ruhyanudin Octavio, Abi Mufid Syafaah, Lailis Vhirdausia, Nuri