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All Journal JURNAL SISTEM INFORMASI BISNIS Sistemasi: Jurnal Sistem Informasi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan PREPOTIF : Jurnal Kesehatan Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) IJIIS: International Journal of Informatics and Information Systems Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia Journal Of World Science Quality : Jurnal Kesehatan Gemakes: Jurnal Pengabdian Kepada Masyarakat Journal of Multimedia Trend and Technology Journal Of Health & Cardiovascular Nursing Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Jurnal Info Kesehatan
Tarwoto, Tarwoto
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Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : journal of world science

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Effectiveness Test of Stroke Risk Detection Application Model, Stroke Risk Scorecard Tarwoto, Tarwoto; Rahmawaty, Elsye; Argianto, Argianto; Yusro, Muhammad
Journal of World Science Vol. 2 No. 2 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i2.142

Abstract

Stroke is a disease caused by impaired blood circulation to the brain. This disease is a non-communicable disease that can be prevented by controlling stroke risk factors. STRIC (Stroke Risk Score Card) is a stroke risk detection application resulting from the development of a stroke risk detection model by the National Stroke Association. This study aims to determine the sensitivity, specificity, and accuracy of the application of the early stroke risk detection model (STRIC) in detecting stroke risk. Descriptive analytics by conducting stroke risk assessment using the Stroke Risk Scorecard (STRIC) App. The total sample was 60 people, consisting of 30 post-stroke people and 30 non-stroke people. The sensitivity value of the STRIC application is 91.67% which means that the ability to predict stroke risk for those who have experienced a stroke is very high. The specificity value of the STRIC application was 77.78%; this means that the measurement capability of the STRIC application provides a non-stroke (negative) result of 77.78% or very good. The accuracy value of the STRIC application is 83.33%, which means that the ability of the STRIC application to detect the risk of stroke in all subjects tested correctly is 83.33%.  Applying the STRIC application can help prevent stroke and improve the prognosis for high-risk individuals.
Diabetes Self Management Education Assistance on The Quality of Life in Type 2 Diabetes Mellitus Patients Buana, Chandra; Tarwoto, Tarwoto; Retnaningtyas, Ekowati; Harmonis, Rita; Sridiany, Sridiany
Journal of World Science Vol. 2 No. 5 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i2.143

Abstract

Patients with DM in the district. Rejang Lebong reached 382 cases, and 9 people died from this disease in 2020. Diabetes Self Management Education (DSME) is a program designed to provide understanding and skills in caring for DM sufferers daily at home. This subject of this study was to analyze the effect of DSME administration on the quality of life in type 2 DM patients in the PKM Perumnas area, Rejang Lebong district. This research is a quasi-experimental study with a pretest and posttest approach with a control group design. The sampling technique used consecutive sampling involving 30 respondents, divided into 15 respondents in the treatment group and 15 in the control group. Bivariate analysis in the form of a parametric test, namely the dependent t-test and independent t-test with ? = 0.05. Researchers use computer programs for data processing and statistical analysis. The mean quality of life for DM patients was 36.20 with a standard deviation of 10.79 and p = 0.000 <0.05. This shows that after the intervention, there is an increase in the quality of life of DM patients by 36.20. There is an effect of Diabetes Self-Management Education (DSME) on the Quality of Life of Diabetes Mellitus (DM) Patients in Kab. Rejang Lebong in 2022. Education is essential for patients to change their behaviour and self-management independently to improve the quality of life of DM patients.
Co-Authors Abdul Azis Abdurrahman, Indra Kurniawan Adam Prayogo Kuncoro Adha, Fatihilal Adna, Evania Akhmarullah, Nauval Dwi Yuzhak Akso, Rafian Tri Al Vieta, Angelica Lolita Alamini, Alamini Almaini, Almaini Anggraeni, Laudiana Anom, Khotimah Dewi Argianto, Argianto Arsi, Primandani Artanti, Freda Widya Atika, Nur Azriel Arya Putra, Feishal Azzahra, Delia Oktaviana Bakara, Derison M Buana, Chandra Darso, Darso Deng, Wei Li Dwi Krisbiantoro, Dwi Dwi Puji Lestari, Dwi Puji Dwi Wahyudi Ekowati Retnaningtyas Eva Susanti Handani, Wahyu Harmonis, Rita Hermawan, Sabana Nur Rizki Hidayah, Debby Ummul Irma Darmayanti Jatmiko, Salsabilla Aulia Jaya, Meigo A Karlina, Siti Khayati, Fajar Nur Komalasari, Ika Kusuma, Tyas Pratama Puja Ma'arifah, Windiya Meizaroh, Laili Mubarok, Fawaz Asyar Muhammad Rizki Muhammad Yusro Mustofa, Dinar Noptavia, Noptavia Novendri, Alia Nurul Habibah, Ariska Oktaviani, Tia Prasetya, Rusli Prasetyo, Ilham Cipto Pratama, Yudha Pratiwi, Berliana Wahyu Pungkas Subarkah Puspita, Yenny Rahmawaty, Elsye Ramadhan, Andra Dwi Riyanto Riyanto Sarmini Sarmini Setiawan, Hasan Shidqi, Shafirina Arsydini Sholekha, Kharisma Putri Sitaresmi, Sitaresmi Sri Haryani Sridiany, Sridiany Subarkah, Fakhry Sultan, Achmad Suryani Manurung Sutriyanti, Yanti Tama, Andika Lutfhi Citra Utario, Yossy Widadi, Wiwit Puja Marga Wulandari, Arini