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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Anestesi: Jurnal Ilmu Kesehatan dan Kedokteran
Heny Yuniarti
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Computer Science & IT Health Professions Nursing Physics Public Health

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Deteksi Microaneurysm Pada Mata Sebagai Langkah Awal Untuk Penentuan Diabetic Retinophaty Menggunakan Pengolahan Citra Digital Anisa Habsari; Tri Harsono; Heny Yuniarti; Rita Tjandra
Journal of Applied Informatics and Computing Vol 5 No 2 (2021): December 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v5i2.3302

Abstract

Diabetic Retinopathy is a microvascular complication of diabetes mellitus. According to WHO (World Health Organization), there are more than 347 billion people who suffer from diabetes. This disease will become the seventh leading cause of death in the world in 2030. Based on research in Indonesia, it is estimated that there are 42.6% of diabetic retinopathy. Therefore, this final project plans a system to assist doctors in identifying diabetic retinopathy through its characteristics, namely microaneurysm. This system begins with an input retinal image from the fundus camera. Then the input will be processed in preprocessing to increase the contrast using the green channel. The next stage is segmentation. This is used to detect candidates from blood vessels and microaneurysms that use morphology operations. The next step is feature extraction, where it uses the features of glcm and white pixels detected in the image resulting from segmentation. The value of the white pixels and the values in the glcm feature are used as parameters in determining whether the classification process will be used as a determination of a Diabetic Retinopathy image or not. The success rate of the system using the SVM (Support Vector Machine) method is 88.4%.
Hubungan Antara Indeks Massa Tubuh (IMT) dengan Lama Rawat Inap: Studi terhadap Pasien SNH di Rumah Sakit Islam Sultan Agung Semarang Daiffa Rafif Santoso; Heny Yuniarti; Reza Adityas Trisnadi
Jurnal Anestesi Vol. 3 No. 2 (2025): Jurnal Anestesi: Jurnal Ilmu Kesehatan dan Kedokteran
Publisher : Stikes Kesdam IV/Diponegoro Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59680/anestesi.v3i2.1773

Abstract

Stroke is the second leading cause of death after heart disease. This condition is thought to be related to risk factors such as hypertension, diabetes mellitus, smoking, and lack of physical activity. The existence of these risk factors can affect a person's BMI (Body Mass Index). This study aims to determine the relationship between BMI status and the length of hospitalization of SNH patients at Sultan Agung Islamic Hospital, Semarang. This study uses analytical observational research and cohort research design. Data collection was carried out prospectively through the measurement of LLA and knee height in SNH patients as well as patient medical record data. The medical record data taken is the length of hospitalization of SNH patients obtained from the date of admission to the date of discharge from the hospital. The number of samples studied was 65 patients using the non-probability sampling method with consecutive sampling that had met the inclusion and exclusion criteria. The research was conducted at Sultan Agung Islamic Hospital Semarang from October 2024 - January 2024. The results of bivariate data analysis using the contingency coefficient statistical test obtained a significance value of P=0.047 (P<0.05) so that it can be concluded that there is a significant relationship between BMI status and the length of hospitalization of SNH patients at Sultan Agung Islamic Hospital, Semarang. The level of closeness of the relationship with the contingency coefficient test in this study was obtained r = 0.239 (0.20-0.399) so it is said that the closeness of the relationship is weak. It can be concluded that there is a significant relationship between BMI and length of stay in SNH patients at Sultan Agung Islamic Hospital Semarang. The length of hospitalization in SNH patients is also influenced by the severity of comorbidities, so that SNH patients with a high level of comorbidity severity have a longer length of hospitalization.
Co-Authors Anisa Habsari Daiffa Rafif Santoso Reza Adityas Trisnadi Rita Tjandra Tri Harsono