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All Journal Jurnal Keperawatan Priority KESMAS UWIGAMA: Jurnal Kesehatan Masyarakat
Johannes Ginting
University Prima Indonesia
Dentistry Health Professions Medicine & Pharmacology Nursing Public Health Other

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DETEKSI DAN PREDIKSI PENYAKIT DIABETES MELITUS TIPE 2 MENGGUNAKAN MACHINE LEARNING (SCOOPING REVIEW) Johannes Ginting; Rapael Ginting; Hartono Hartono
Jurnal Keperawatan Priority Vol. 5 No. 2 (2022)
Publisher : Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jukep.v5i2.2671

Abstract

Diabetes Mellitus is a chronic disease and one of the non-communicable diseases whose growth is very fast. This study aims to explore and analyze the early detection and prediction system of risk factors for type 2 diabetes mellitus which utilizes machine learning methods. This type of research is a scoping review to accumulate and synthesize the results of previous studies on the early detection of risk factors and the prediction system of Diabetes Mellitus type 2 using machine learning methods. The inclusion criteria are articles in English or Indonesian, journals published in the 2017-2021 range, full text, and not systematic reviews. Article searches are 4 databases, namely Google Scholar, Pubmed, International Journal of Public Health Science/Hindawi, and IEEE Xplore.  The results obtained as many as 2,941 articles, using the PRISMA method. The remaining 15 studies were maintained and met the criteria for qualitative analysis. The articles used machine learning methods in the creation of early detection models and prediction systems. Some articles use the merging of two methods (statistical and machine learning). The machine learning techniques mostly use supervised, unsupervised, and deep learning techniques. For the algorithms used, the majority of researchers used more than one algorithm such as algorithm support vector machine (SVM), random forest (RF), Decision Tree (DT), LASSO, and others, to compare the best accuracy of each algorithm. Risk factors associated with Diabetes Mellitus type 2 incidence are age, gender, obesity, family history of the disease, lack of physical activity, genetics, environment, smoking, blood pressure, and diet.
The Relationship between Age, Gender, and Physical Inactivity on the Incidence of Obesity at Puskesmas Johar Baru, Central Jakarta Johannes Ginting; Tri Suci
KESMAS UWIGAMA: Jurnal Kesehatan Masyarakat Vol 10 No 1 (2024): January-June
Publisher : Universitas Widya Gama Mahakam Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/kujkm.v10i1.2597

Abstract

Background: Obesity is an increasing global health challenge, including in Indonesia. Objectives: This study was intended to explore the correlation between age, gender, and physical activity level with the incidence of obesity. Research Methods: This study used secondary data from Puskesmas Johar Baru, Central Jakarta, in 2021, with a sample size of 72,680 patients; the number of patients who were obese was 22,297 people. Data processing was performed using SPSS 25 software, involving bivariate analysis using the Chi-Square test and multivariate analysis using multiple logistic regression with the enter method at a significance level 0.05. Results: The results showed that the majority of obese respondents were of productive age, as many as 17,521 people (p-value 0.000), female gender as many as 9,441 people (p-value 0.000), and stated that they lacked physical activity as many as 17,207 people (p-value 0.000). Statistically, through the Chi-Square test, it was found that there was a significant association between the incidence of obesity and the three variables, with a p-value ≤ 0.05. Multivariate analysis using logistic regression reinforced that gender emerged as the dominant factor, with females having a 12.925 times higher risk of being obese compared to males. Conclusion: These findings underscore the importance of gender variables in the context of obesity in Puskesmas Johar Baru. This study highlights the differences in obesity prevalence by age and gender. Middle-aged adults, particularly women, are more prone to obesity. Physical inactivity was also identified as a significant factor in the increased prevalence of obesity. These results have implications for developing more specific obesity prevention interventions, especially for women.
Co-Authors Hartono Hartono Rapael Ginting Tri Suci