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All Journal Jurnal Riset Kesehatan Journal of Electrical Technology Indonesian Journal of Global Health research
Ratih Sari Wardani
Universitas Muhammadiyah Semarang
Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Nursing Public Health

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WORKLOAD, REPETITIVE WRIST MOVEMENTS, YEARS OF SERVICE WITH CARPAL TUNNEL SYNDROME Ratna Kurnia Sari; Diki Bima Prasetio; Ratih Sari Wardani
Jurnal Riset Kesehatan Vol 9, No 2 (2020): NOVEMBER 2020
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.818 KB) | DOI: 10.31983/jrk.v9i2.6233

Abstract

Carpal Tunnel Syndrome (CTS) is an occupational disease caused by disruption of the hand position which is constantly and is often associated with activities that use the hands for a long time can affect nerves, blood supply to the hands and wrists. This study aims to determine the relationship between workload, repetitive wrist movements and work time with carpal tunnel syndrome in cantel eyelash workers. Type of research is observational with cross-sectional approach. The sample in study were 50 eyelash workers who were part of the cantel. The results of this study are there is no relationship between workload and the incidence of CTS (p=1.000), there is a relationship between repetitive wrist movements with the incidence of CTS (p=0.031) and There is a relationship between years of service and the incidence of CTS (p=0.007). The conclusion is repetitive wrist movements performed by workers during years of work are a risk factor for carpal tunnel syndrome. So that to reduce this risk, it is necessary to stretch your hands before working, every two hours of work and finish working.
Behavior Related to the Success of Pulmonary TB Treatment Mohammad Fauzi; Edy Soesanto; Ratih Sari Wardani; Mohammad Fatkhul Mubin; Aric Vranada
Indonesian Journal of Global Health Research Vol 7 No 5 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i5.7057

Abstract

Pulmonary Tuberculosis (TB) is an infectious disease caused by Mycobacterium Tuberculosis, this disease becomes a public health problem, especially if there is a break in treatment which has an impact on TB drug resistance. The purpose of this study is to see the correlation or relationship of determinant factors that influence the success of pulmonary tuberculosis treatment. The type of research is Observational Analytical with a Cross Sectional approach. Data collection uses questionnaires, observations and interviews. The population is 158 and the sample is 91 respondents with cluster sampling. The study was conducted in Parigi Moutong Regency during February-June 2025. Of the 91 respondents who were 94.5% compliant with taking medication, 75.8% had good Family Support, 75.8% had Drug Supervisor (PMO) Support and 83.5% had Health Worker Support, the results of the chi square test showed a relationship between medication adherence and the success of Pulmonary TB Treatment p = 0.000 <0.05, there was a relationship between family support and the success of Pulmonary TB Treatment p = 0.001 <0.05, there was a relationship between support (PMO) and the success of Pulmonary TB Treatment p = 0.001 <0.05 and there was a relationship between Health Worker support and the success of Pulmonary TB Treatment p = 0.000 <0.005. Conclusion There is a relationship between behavior (medication adherence, family support, PMO support and health worker support) and the success of pulmonary TB treatment.
Representasi Distribusi Energi EEG Multi-Channel untuk Deteksi Aktivitas Epilepsi Menggunakan SVM Siswandari Noertjahjani; Ratih Sari Wardani; Aris Kiswanto
JET (Journal of Electrical Technology) Vol 11, No 2 (2026): : Edisi June
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i2.13713

Abstract

Deteksi epilepsi berbasis electroencephalogram (EEG) menghadapi tantangan berupa ketidakseimbangan kelas, data leakage, dan variasi sinyal antarpasien. Penelitian ini mengusulkan representasi distribusi energi EEG multikanal menggunakan Support Vector Machine (SVM) dengan kernel Radial Basis Function (RBF). Dataset CHB-MIT dipreproses dan disegmentasi menjadi window berdurasi 2 detik dengan overlap 25%. Setiap window direpresentasikan oleh 23 fitur energi domain waktu dan 23 fitur Power Spectral Density (PSD) metode Welch, sedangkan energy map berukuran 23 × 16 digunakan sebagai visualisasi distribusi energi kanal–waktu dan bukan sebagai masukan model. Evaluasi dilakukan menggunakan independent file-wise testing, grouped file-wise 5-fold cross-validation, dan patient-wise Leave-One-Subject-Out (LOSO). Untuk mencegah data leakage, pembagian data dilakukan pada tingkat file atau pasien sebelum segmentasi, sedangkan undersampling dan standardisasi hanya diterapkan pada data pelatihan. Hasil file-wise testing menunjukkan akurasi 93,247%, sensitivitas 98,387%, F1-score 42,958%, dan ROC-AUC 0,9880. Pada evaluasi LOSO, akurasi, sensitivitas, dan F1-score menurun menjadi 78,071%, 51,909%, dan 20,550%, yang menunjukkan adanya inter-subject variability. Uji Mann–Whitney menunjukkan perbedaan distribusi energi yang signifikan antara kelas seizure dan non-seizure (p = 2,1804 × 10⁻¹⁴⁰). Metode ini efektif untuk deteksi antarfile pada pasien yang sama, namun masih memerlukan validasi lintas pasien dan dataset eksternal untuk meningkatkan kemampuan generalisasi. Kata kunci: CHB-MIT, deteksi epilepsi, distribusi energi EEG, patient-wise LOSO, SVM.
Co-Authors Aris Kiswanto Edy Soesanto Mohammad Fatkhul Mubin Mohammad Fauzi Prasetio, Diki Bima Ratna Kurnia Sari Siswandari Noertjahjani Vranada, Aric