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All Journal Jurnal Sains dan Teknologi Informasi Unnes Journal of Public Health
Jusran, Alek
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Public Health

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Factors of Diabetic Retinopathy among Type 2 Diabetes Mellitus Patients in Central Java Province, Indonesia Casmuti, Casmuti; Zainafree, Intan; Cahyati, Widya Hary; Ningrum, Dina Nur Anggraini; Saefurrohim, Muhamad Zakki; Hakam, Abdul; Zaimatuddunia, Irma; Prasetya, Henky Yoga; Jusran, Alek; Irsam, Muhamad
Unnes Journal of Public Health Vol. 14 No. 1 (2025)
Publisher : Universitas Negeri Semarang (UNNES) in cooperation with the Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujph.v14i1.16126

Abstract

One of the microvascular complications of type 2 diabetes mellitus is diabetic retinopathy. The prevalence of diabetes mellitus in Central Java Province in 2022 by 10% increased to 12.52% in the third quarter of 2023. This prevalence rate has not reached the SDG's target, namely there is no increase in diabetes prevalence by 0%. The purpose of this study is to analyze factors associated the incidence of diabetic retinopathy in type 2 DM patients at Central Java Provincial Hospital in 2023. This research is quantitative research with a nested case control study design, using electronic medical record data from the Central Java Provincial Hospital in 2023. The variables in this study were gender, age, education level, employment status, marital status, health insurance status, BMI, DM diet, duration of DM, hypertension, other diseases, current blood glucose, and HbA1c. The analysis used was univariate, bivariate, and multivariate analysis (logistic regression). The results showed that there was association between age ≥70 years (p=0.006), DM diet (p<0.0001, OR=20.914), duration of DM (p=0.003, OR=3.010), hypertension (p=0.013, OR=2.619), other diseases including cataracts (p=0.040, OR=9.00), glaucoma (p=0.007), CHD (p=0.040, OR=9.00), and cardiomegaly (p=0.016), current blood glucose (p=0.045, OR=2.478), and HbA1c (p<0.0001, OR=6.152). DM diet is the most dominant factor associated with diabetic retinopathy in type 2 DM patients. 
Sistem Mobile Deteksi Gangguan Kejiwaan Berbasis Suara Menggunakan Metode Deep Convolutional Neural Network Nugroho, Kristiawan; Jusran, Alek; Sari, Linda Kartika; Nofiyanto, Muhamat; Suprihhartini, Suprihhartini
Jurnal Sains dan Teknologi Informasi Vol 5 No 1 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v5i1.8966

Abstract

-Mental disorders are a global health problem that often goes undetected early, requiring innovative approaches to their detection. This study aims to develop a mobile system capable of detecting mental disorders based on voice using Deep Convolutional Neural Network technology. The method used in this study is the collection of voice data from individuals experiencing symptoms of mental disorders, followed by voice feature extraction and the application of a Deep Convolutional Neural Network model for the classification of these disorders. The system was tested using a processed voice dataset, which includes various types of mental disorders, including depression and anxiety. The results showed that the Deep Convolutional Neural Network model was able to achieve high detection accuracy, with the ability to recognize mental disorders based on specific voice characteristics. This finding opens new opportunities for faster and more efficient detection of mental disorders using mobile devices, which are accessible to the wider community. This study also demonstrates the great potential of deep learning technology in the field of mental health, particularly in the prevention and diagnosis of mental disorders.
Co-Authors Abdul Hakam Casmuti, Casmuti Dian Kristiawan Nugroho Dina Nur Anggraini Ningrum Intan Zainafree, Intan Irsam, Muhamad Linda Kartika Sari Nofiyanto, Muhamat Prasetya, Henky Yoga Saefurrohim, Muhamad Zakki Suprihhartini, Suprihhartini Widya Hary Cahyati Zaimatuddunia, Irma