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EFFECT OF DIABETIC RETINOPATHY PROGRESSION ON VISUAL ACUITY IN TYPE II DM PATIENTS Amin, Ramzi; Rajendra Ekki Maulana; Syarif Husin
Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universitas Sriwijaya Vol. 12 No. 2 (2025): Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Univers
Publisher : Fakultas Kedokteran Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/jkk.v12i2.660

Abstract

This study aims to assess the effect of DR severity on visual acuity and to identify additional contributing factors. An observational analytic study with a cross-sectional design was conducted using medical records of Type II DM patients diagnosed with DR at Dr. Mohammad Hoesin General Hospital, Palembang, between January 2021 and October 2024. Statistical analysis was performed using Fisher’s exact test to evaluate significance, followed by logistic regression to determine the most influential factor. The results showed a significant association between DR severity and visual acuity (p=0.008), while other factors including macular edema (p=0.137), age (p=1.000), gender (p=1.000), intraocular pressure (p=1.000), HbA1c levels (p=1.000), and history of hypertension (p=1.000), were not significantly associated. In conclusion DR severity has a significant and dominant influence on the visual acuity of DR patients.
PENGUJIAN PENGENALAN WAJAH REAL-TIME DENGAN DLIB PADA RASPBERRY PI 5 Syarif Husin; Iskandar Lutfi; Masayu Anisah
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 6 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Juni 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i6.442

Abstract

Penelitian ini membahas pengujian sistem pengenalan wajah berbasis Raspberry Pi 5 menggunakan pustaka dlib dengan metode Histogram of Oriented Gradients (HOG). Tujuan utama pengujian ini adalah mengevaluasi performa sistem dalam berbagai kondisi pencahayaan dan jarak. Pengujian dilakukan terhadap dua sampel wajah dalam empat skenario: dekat-terang, jauh-terang, dekat-gelap, dan jauh-gelap. Hasil menunjukkan bahwa sistem bekerja optimal pada kondisi terang dan jarak dekat, namun performanya menurun pada pencahayaan rendah dan jarak jauh. Tingkat akurasi yang diperoleh adalah 25% untuk sampel pertama dan 50% untuk sampel kedua. Kelebihan sistem ini terletak pada efisiensi komputasi karena seluruh proses dilakukan secara lokal di Raspberry Pi 5 tanpa koneksi ke server eksternal. Kekurangannya adalah sensitivitas terhadap variasi pencahayaan dan sudut pandang wajah. Penelitian ini menunjukkan bahwa pengenalan wajah real-time pada perangkat edge dapat dilakukan secara cost-effective, dan direkomendasikan pengembangan lebih lanjut melalui peningkatan dataset serta integrasi dengan sensor cahaya untuk adaptasi otomatis terhadap kondisi lingkungan.
Neutrophil-Lymphocyte Ratio as a Novel Biomarker for Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study Pradesta, Rahnowi; Novadian; Yulianto Kusnadi; Nova Kurniati; Syarif Husin
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 9 No. 3 (2025): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/bsm.v9i3.1235

Abstract

Background: Early detection of diabetic nephropathy (DN) is crucial to prevent progression to end-stage renal disease. The gold standard for diagnosing DN involves urine microalbumin testing and renal biopsy. However, the availability of these diagnostic tools is limited in many healthcare facilities across Indonesia. Consequently, there is a pressing need for an alternative examination that is readily accessible and can effectively monitor the progression of DN. Methods: This cross-sectional study was conducted at Dr. Mohammad Hoesin General Hospital, Palembang, from February 2024 to May 2024. The study aimed to investigate the correlation between neutrophil-lymphocyte ratio (NLR) and urinary albumin levels in type 2 diabetes mellitus (DM) patients. NLR, calculated from complete blood counts, has emerged as a potential inflammatory marker for various conditions. A total of 65 participants diagnosed with type 2 DM were enrolled in the study. Data analysis involved Spearman's correlation test to assess the relationship between NLR and urinary albumin levels. Results: The majority of the 65 subjects were female (58.5%). The study found that 44 subjects had normoalbuminuria, 18 had microalbuminuria, and 3 had macroalbuminuria. A significant positive correlation was observed between NLR and albuminuria levels in type 2 DM patients (r = 0.795; p < 0.01). Conclusion: The study's findings suggest that NLR is a potential cost-effective biomarker for the early detection of DN in type 2 DM patients, especially in resource-limited settings. Further large-scale studies are recommended to validate these findings and establish specific NLR thresholds for predicting DN progression.