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All Journal ARTERI : Jurnal Ilmu Kesehatan Journal of Electrical Engineering and Computer (JEECOM)
Suryana, Arinda Lironika
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Control & Systems Engineering Electrical & Electronics Engineering Energy Health Professions Medicine & Pharmacology Nursing Public Health

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The Probability of Stroke Based on Clinical Decision Support System (CDSS) using the Framingham Risk Score Method in Hospital Suryana, Arinda Lironika; Pratama, Mudafiq Riyan; Alfiansyah, Gamasiano
ARTERI : Jurnal Ilmu Kesehatan Vol 5 No 1 (2023): November
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/arteri.v5i1.412

Abstract

Stroke is the main cause of death in Indonesia. Identification of stroke risk factors can use the Clinical Decision Support System (CDSS). Researchers have designed and developed a CDSS using the Framingham Risk Score (FRS) method to identify stroke in patients. The study aims to identify stroke risk factors using CDSS with the Framingham Risk Score method in dr Soebandi Hospital.This research was an analytic observational study using secondary data from medical record documents of neurology patients. . The sampling technique used was incidental sampling that met the inclusion criteria and exclusion criteria. The inclusion criteria used in selecting medical records were medical records that had complete data regarding gender, age, systolic blood pressure, total cholesterol, HDL, smoking behavior, history of diabetes mellitus, and the patient's stroke incidence thus obtaining 14 patient medical records.. Data were analyzed using the FRS method. Based on the research results, it can be concluded that there were 8 patients with high risk and 6 patients with low risk. However, further research needs to be carried out on the relationship between variables so that they can contribute in more detail to efforts to reduce the prevalence of stroke in society.
Pengaruh Latihan Sepeda Virtual Terhadap Sensori-Motor Ekstremitas Bawah Pasien Pasca Stroke Lesmana, I Putu Dody; Yuana, Dia Bitari Mei; Mukhlisoh, Nanik Anita; Widiawan, Beni; Hakim, Lukman; Suryana, Arinda Lironika
Journal of Electrical Engineering and Computer (JEECOM) Vol 5, No 2 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v5i2.6911

Abstract

Defisit neurologis yang sering didapati pasca stroke adalah penurunan fungsi sensorik dan motorik. Terapi rehabilitasi yang tepat akan memberikan pemulihan sensori motor yang optimal. Fisioterapi menggunakan modalitas latihan motorik berupa latihan sepeda virtual merupakan salah satu pilihan program rehabilitasi. Jenis latihan ini dapat memperbaiki fungsi keseimbangan dan koordinasi ekstrimitas bawah. Tujuan penelitian ini untuk mengetahui pengaruh latihan sepeda berbasis Virtual Reality Augmented Cycling (VRAC) terhadap respon sensorimotor pasien pasca stroke kronis.Rancangan penelitian adalah quasi experimental dengan post test only control group design. Subyek penelitian sebanyak 15 orang terbagi dalam dua kelompok yaitu 8 orang pasien pasca stroke dan 7 orang kontrol sehat, diambil secara purposive sampling dan telah memenuhi kriteria inklusi. Semua subyek mengikuti program latihan sepeda virtual 2 kali dalam seminggu selama 3 bulan di Poli Rehabilitasi Medik RSD Kalisat Jember. Respon sensorimotor diukur dari kecepatan kayuhan (RPM) dengan tiga lintasan. Data dideskripsikan dalam bentuk mean±SD dan dianalisis uji independent T-Test menggunakan SPSS V.22.0.Rata-rata kecepatan kayuhan pasien pasca stroke meningkat tiap minggu selama latihan. Terdapat perbedaan kayuhan pedal pada lintasan lebar, lintasan lebar berpenghalang dan lintasan sempit yang signifikan antara pasien pasca stroke dengan kontrol (p<0,001).Simpulan: Latihan sepeda virtual dapat memperbaiki sensorimotor pasien pasca stroke kronis.
Co-Authors Alfiansyah, Gamasiano Beni Widiawan, Beni I Putu Dody Lesmana Lukman Hakim Mukhlisoh, Nanik Anita Pratama, Mudafiq Riyan Yuana, Dia Bitari Mei