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All Journal Jurnal Ilmu dan Teknologi Kesehatan Jurnal Sehat Mandiri JPP Jurnal Kesehatan Poltekkes Palembang PREPOTIF : Jurnal Kesehatan Masyarakat Community Empowerment Journal of Applied Nursing and Health Jurnal Abdi Kesehatan dan Kedokteran Jurnal Pusat Akses Kajian Pangan dan Gizi Jurnal Gizi dan Kesehatan
Nazarena, Yunita
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Dentistry Education Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary

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Journal : Jurnal Ilmu dan Teknologi Kesehatan

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Effectiveness of Food Cholesterol Detect (FCD) Application on Total Cholesterol Levels of Hypercholesterolemia Patients Terati, Terati; Nazarena, Yunita; Shadiq, Ahmad
jitek Vol 12 No 2 (2025): Maret 2025
Publisher : Poltekkes Kemenkes Jakarta III

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32668/jitek.v12i2.1801

Abstract

High cholesterol levels will cause blockages in blood vessels so that circulation is disrupted. The incidence of hypercholesterolemia is still quite high. The Food Cholesterol Detect application is one of the screening tools that can be used to determine the amount of cholesterol intake consumed through food. The purpose of this study was to determine the effectiveness of using the Food Cholesterol Detect application on the total cholesterol levels of patients with hypercholesterolemia. This research design uses quasi-experiments before and after using the application with a one group pre-post test design. Data analysis used univariate and bivariate analysis to see the relationship between the dependent variable (total cholesterol levels of hypercholesterolemia patients) and the independent variable. The characteristics of respondents were mostly in the age group of 30-49 years, approximately 44.3%,. Most of the hypercholesterolemia patients have normal nutritional status based on BMI, namely (50%). Cholesterol levels are mostly female, namely (62.9%) having high borderline total cholesterol levels of 200-239 mg/dl. Cholesterol intake in food consumed shows that all respondents, both men and women, 100% have a high intake of cholesterol in food ≥ 200 mg / hr. There is a difference in the average total cholesterol levels of hypercholesterolemia patients before using the Food Cholesterol Detect Application, which is 234.432 mg/dl, while after use it is 203.892 mg/dl. There is an effect of the effectiveness of the Food Cholesterol Detect Application on reducing total cholesterol levels.
Analysis Study of “Food Cholesterol Detect” Application Development in Early Detection of High Cholesterol Food Consumption Terati, Terati; Nazarena, Yunita; Sadiq, Ahmad
jitek Vol 10 No 2 (2023): Maret 2023
Publisher : Poltekkes Kemenkes Jakarta III

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32668/jitek.v10i2.1020

Abstract

The incidence of hypercholesterolemia in Indonesia is increasing daily, caused by a sinful lifestyle, lack of physical activity, and high consumption of foods high in fat. Patients with hypercholesterolemia have a cholesterol intake from food consumed by 46%. Related to these problems, we need a technology that can make it easier for people to manage the consumption of foods high in cholesterol by utilizing the sophistication of Smartphones. So researchers are interested in designing an application, "Food Cholesterol Detect", to detect early consumption of foods high in cholesterol. The system testing scenario is carried out using the system testing method of Black Box Testing. Trials on Users were conducted to assess the website-based Food Cholesterol Detect Application's appearance and the information presented. As for the test results, all of these website systems run well, and the test results on users, namely an average rating of 3-3.5 (good), and users feel helped by this application.
Co-Authors Abda, Audry Nabila Antisa, Putri Salsabila Cutyanti, Cici Delmi, Zahroh Istantini Dwi Astuti Fatriani, Fatriani Hapsari, Dyah Aulia Hartati, Yuli Imelda Karyati, Pri Linda Marlina, Linda Meilina, Ayu Muzakar, Muzakar Nazarena, Yuli Hartati Oktaveriana, Dwi Podojoyo, Podojoyo Puspitasari, Marlisa Rahma, Tria Mareta Rosenda, Caroline Sadiq, Ahmad Salasa Nilawati, Nurul Sartono Sartono, Sartono Shadiq, Ahmad Sihite, Nathasa Weisdania Sri Wiyanti Sriwiyanti Sriwiyanti, Sriwiyanti Susyani, Susyani Telisa, Imelda Terati, Terati Widasari, Dyah Esti Wijaya, Febri Yulianto Yulianto