scholarly journals The Mental Emotional Disorder Pattern: Study of National Basic Health Research 2007, 2013, and 2018

2020 ◽  
Author(s):  
Sri Idaiani ◽  
Raharni ◽  
Siti Isfandari
Keyword(s):  
Health Research ◽  
Emotional Disorder ◽  
Basic Health

scholarly journals Pneumonia pada Anak Balita di Indonesia

2014 ◽  
Vol 8 (8) ◽  
pp. 359
Author(s):  
Athena Anwar ◽  
Ika Dharmayanti
Keyword(s):  
Physical Environment ◽  
Health Research ◽  
Maternal Education ◽  
Smoking Habit ◽  
Individual Characteristics ◽  
Cross Sectional ◽  
Children Under Five ◽  
Under Five ◽  
Basic Health ◽  
Determinant Factors

Pneumonia adalah penyakit infeksi yang merupakan penyebab utama kematian pada balita di dunia. Riset Kesehatan Dasar (Riskesdas) tahun 2007 melaporkan bahwa kematian balita di Indonesia mencapai 15,5%. Penelitian ini bertujuan untuk mengidentifikasi faktor determinan terjadinya pneumonia pada balita di Indonesia. Desain penelitian ini adalah potong lintang dengan menggunakan data Riskesdas 2013. Kriteria sampel adalah balita (0 – 59 bulan) yang menjadi responden Riskesdas 2013. Variabel dependen adalah kejadian pneumonia balita, sedangkan variabel independennya adalah karakteristik individu, lingkungan fisik rumah, perilaku penggunaan bahan bakar, dan kebiasaan merokok. Penetapan kejadian pneumonia berdasarkan hasil wawancara, dengan batasan operasional diagnosis pneumonia oleh tenaga kesehatan dan/atau dengan gejala pneumonia dalam periode 12 bulan terakhir. Jumlah sampel yang memenuhi kriteria adalah 82.666 orang. Hasil menunjukkan bahwa faktor risiko yang paling berperan dalam kejadian pneumonia balita adalah jenis kelamin balita (OR = 1,10; 95% CI = 1,02 - 1,18), tipe tempat tinggal (OR = 1,15; 95% CI = 1,06 – 1,25), pendidikan ibu (OR = 1,20; 95% CI = 1,11 – 1,30), tingkat ekonomi keluarga/kuintil indeks kepemilikan (OR = 1,19; 95% CI = 1,10 – 1,30), pemisahan dapur dari ruangan lain (OR = 1,19; 95% CI = 1,05 – 1,34), keberadan/kebiasaan membuka jendela kamar (OR = 1,17; 95% CI = 1,04 – 1,31), dan ventilasi kamar yang cukup (OR = 1,16; 95% CI = 1,04 – 1,30). Disimpulkan bahwa faktor sosial, demografi, ekonomi dan kondisi lingkungan fisik rumah secara bersama-sama berperan terhadap kejadian pneumonia pada balita di Indonesia.Pneumonia is an infectious disease which is a major cause of mortality in children under five years of age in the world. National Basic Health Research 2007 reported that infant mortality in Indonesia has reached 15.5%. The objective of the study was to identify the determinant factors related to the incidence of pneumonia in children under five years of age in Indonesia. The research design was cross sectional, using National Basic Health Research 2013 data. Sample criteria were children under five years of age (0 – 59 months). The dependent variable was the incidence of pneumonia among children under five years of age, while the independent variables were individual characteristics, physical environment of house, types of fuel used, and smoking habit. There were 82,666 samples that fulfilled the study criteria. The result showed that determinant factors contributing to the incidence of pneumonia in children were sex (OR = 1.10; 95% CI = 1.02 – 1.18), residence (urban/rural) (OR = 1.15; 95% CI = 1,06 – 1,25), maternal education (OR = 1.20; 95% CI = 1.11 – 1.30), household poverty index quintile (OR = 1.19; 95% CI = 1.10 – 1.30) , kitchen separation (OR = 1.19; 95% CI = 1.05 – 1.34), window availability in bedroom (OR = 1.17; 95% CI = 1.04 – 1.31), and bedroom ventilation (OR = 1.16; 95% CI = 1.04 – 1.30). This study concluded that social factors, demographic, economic levels and the physical environment of house simultaneously contributed to the incidence of pneumonia in children under five of age. 

scholarly journals Exploration of Obesity Status of Indonesia Basic Health Research 2013 With Synthetic Minority Over-Sampling Techniques

2021 ◽  
Vol 5 (1) ◽  
pp. 75-91
Author(s):  
Sri Astuti Thamrin ◽  
Dian Sidik ◽  
Hedi Kuswanto ◽  
Armin Lawi ◽  
Ansariadi Ansariadi
Keyword(s):  
Machine Learning ◽  
Health Research ◽  
Class Imbalance ◽  
Imbalanced Data ◽  
Sampling Technique ◽  
Data Sets ◽  
Data Set ◽  
Basic Health ◽  
Obesity Status ◽  
Obese Class

The accuracy of the data class is very important in classification with a machine learning approach. The more accurate the existing data sets and classes, the better the output generated by machine learning. In fact, classification can experience imbalance class data in which each class does not have the same portion of the data set it has. The existence of data imbalance will affect the classification accuracy. One of the easiest ways to correct imbalanced data classes is to balance it. This study aims to explore the problem of data class imbalance in the medium case dataset and to address the imbalance of data classes as well. The Synthetic Minority Over-Sampling Technique (SMOTE) method is used to overcome the problem of class imbalance in obesity status in Indonesia 2013 Basic Health Research (RISKESDAS). The results show that the number of obese class (13.9%) and non-obese class (84.6%). This means that there is an imbalance in the data class with moderate criteria. Moreover, SMOTE with over-sampling 600% can improve the level of minor classes (obesity). As consequence, the classes of obesity status balanced. Therefore, SMOTE technique was better compared to without SMOTE in exploring the obesity status of Indonesia RISKESDAS 2013.

scholarly journals Implementasi Metode Algoritma Genetika Pada Penentuan Menu Makanan Untuk Membentuk Berat Badan Ideal

2019 ◽  
Vol 6 (1) ◽  
pp. 35-40
Author(s):  
Christopher Nanda Jonathan
Keyword(s):  
Physical Activity ◽  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Health Research ◽  
Healthy Food ◽  
Nutritional Deficiencies ◽  
Average Increase ◽  
Basic Health ◽  
Human Need ◽  
Nutritional Needs

Human need balanced nutrition to grow up. It contained various nutrients namely energy, protein, vitamins, and minerals. Data from the Ministry of Health, the proportion of overweight in adults above 18 years old on 2018 amounted to 13%, while data from Basic Health Research mentions that adults with nutritional deficiencies amounted to 12.6%. This shows that many adults do not pay attention to the food with balanced nutrition that can lead to obesity and nutritional deficiencies.  To prevent this, it can be done by eating healthy food that contains enough calories. Someone needs different calories according to the age, height, weight, gender and physical activity. To optimize the level of calory that being consumed daily, we use Genetic Algorithm to obtain more menus with higher calory, the menu will be divided into breakfast, lunch, and dinner, in accordance to the recommended nutritional needs. From this study using Genetic Algorithms, there is an average increase in the number of calories by 88 kcal, from 1037 kcal to 1123 kcal, and there is one chromosome that satisfies the recommended calorie requirement, which is 1,849 kcal.

scholarly journals Predicting Obesity in Adults Using Machine Learning Techniques: An Analysis of Indonesian Basic Health Research 2018

2021 ◽  
Vol 8 ◽  
Author(s):  
Sri Astuti Thamrin ◽  
Dian Sidik Arsyad ◽  
Hedi Kuswanto ◽  
Armin Lawi ◽  
Sudirman Nasir
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Logistic Regression ◽  
Health Research ◽  
Health Data ◽  
Basic Health ◽  
Multiple Risk Factors ◽  
Obesity Status ◽  
Address Data ◽  
Multiple Risk

Obesity is strongly associated with multiple risk factors. It is significantly contributing to an increased risk of chronic disease morbidity and mortality worldwide. There are various challenges to better understand the association between risk factors and the occurrence of obesity. The traditional regression approach limits analysis to a small number of predictors and imposes assumptions of independence and linearity. Machine Learning (ML) methods are an alternative that provide information with a unique approach to the application stage of data analysis on obesity. This study aims to assess the ability of ML methods, namely Logistic Regression, Classification and Regression Trees (CART), and Naïve Bayes to identify the presence of obesity using publicly available health data, using a novel approach with sophisticated ML methods to predict obesity as an attempt to go beyond traditional prediction models, and to compare the performance of three different methods. Meanwhile, the main objective of this study is to establish a set of risk factors for obesity in adults among the available study variables. Furthermore, we address data imbalance using Synthetic Minority Oversampling Technique (SMOTE) to predict obesity status based on risk factors available in the dataset. This study indicates that the Logistic Regression method shows the highest performance. Nevertheless, kappa coefficients show only moderate concordance between predicted and measured obesity. Location, marital status, age groups, education, sweet drinks, fatty/oily foods, grilled foods, preserved foods, seasoning powders, soft/carbonated drinks, alcoholic drinks, mental emotional disorders, diagnosed hypertension, physical activity, smoking, and fruit and vegetables consumptions are significant in predicting obesity status in adults. Identifying these risk factors could inform health authorities in designing or modifying existing policies for better controlling chronic diseases especially in relation to risk factors associated with obesity. Moreover, applying ML methods on publicly available health data, such as Indonesian Basic Health Research (RISKESDAS) is a promising strategy to fill the gap for a more robust understanding of the associations of multiple risk factors in predicting health outcomes.

Pemberian Kompres Jahe Merah Pada Penderita Asam Urat Dengan Masalah Keperawatan Nyeri Di Desa Padan Arang Kabupaten Lahat

2021 ◽  
Vol 4 (5) ◽  
pp. 1209-1215
Author(s):  
Usastiawaty Cik Ayu Saadiah Isnainy ◽  
Renda Wulandasari
Keyword(s):  
Connective Tissue ◽  
World Health Organization ◽  
Elderly People ◽  
Health Research ◽  
World Health ◽  
Basic Health ◽  
The World ◽  
Health Organization ◽  
Red Ginger ◽  
The City

ABSTRAK Data World Health Organization (2016) dilaporkan prevalensi gout arthritis di dunia adalah 13,6% pria dan 6,4% perempuan. Pada tahun 2015 jumlah penderita arthritis sudah mencapai 66 juta atau hampir 1 dari 3 orang menderita gangguan sendi (WHO, 2016). Hasil Riset Kesehatan Dasar (Riskesdas) tahun 2017, prevalensi arthritis gout tiga tertinggi yaitu di Bali mencapai 22,8%, Aceh 21,3%, dan Lampung 14,5%, sedangkan untuk kota Palembang pada tahun 2016 di bulan JanuariFebruari penyakit pada sistem otot dan jaringan pengikat di urutan ke 4 dari 10 penyakit terbesar sebanyak 7.304 orang, dan pada bulan Maret meningkat sebesar 3.357 orang, sedangkan pada bulan April meningkat sebanyak 5.328 (Dinkes Palembang, 2016). Sedangkan di Desa Padan Arang Kabupaten Lahat, terdapat sedikitnya 30 lansia dan kurang lebih 20 (66,67%) diantaranya mengalami masalah asam urat dengan tanda gejala nyeri pada setiap sendi-sendi baik pagi atau pun malam hari, namun terapi yang digunakan hanya sebatas melakukan kompres hangat saja.Kata Kunci: Kompres jahe merah, Nyeri Gout Atritis (Asam Urat) ABSTRACTData from World Health Organization (2016) reported that the prevalence of gout arthritis in the world is 13.6% of men and 6.4% of women. In 2015 the number of arthritis sufferers reached 66 million or almost 1 in 3 people suffer from joint disorders (WHO, 2016). The results of the Basic Health Research (Riskesdas) in 2017, the highest prevalence of arthritis of gout three, namely in Bali reached 22.8%, Aceh 21.3%, and Lampung 14.5%, while for the city of Palembang in 2016 in January February the disease in the system muscle and connective tissue ranked 4th out of the 10 largest diseases of 7,304 people, and in March it increased by 3,357 people, while in April it increased by 5,328 (Palembang Health Office, 2016). Whereas in Padan Arang Village, Lahat Regency, there are at least 30 elderly people, and approximately 20 (66.67%) of them experience gout problems with signs of pain in every joint either morning or night, but the therapy used is only limited to conducting just warm compresses. Keywords: compress red ginger, gout arthritis pain (gout)

scholarly journals PENGETAHUAN TENTANG MEROKOK TERHADAP PERILAKU MEROKOK PADA SISWA DI SMKN 6 KOTA PEKANBARU

2019 ◽  
Vol 3 (2) ◽  
pp. 11-16
Author(s):  
Tyagita Widya Sari ◽  
Muliana Lestari ◽  
Nadia Rukmana ◽  
Yogi Ersandy
Keyword(s):  
Health Research ◽  
Smoking Behavior ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
World Health ◽  
Research Report ◽  
P Value ◽  
Cross Sectional ◽  
Basic Health ◽  
Risk Of Death

Background: The World Health Organization (WHO) states that smoking causes fatal health problems which cause about 8 million deaths per year worldwide. The risk of death from active smokers is higher than passive smokers, which is about more than 7 million deaths occur in active smokers and 1.2 million deaths occur in passive smokers. The results of the 2018 Basic Health Research report (Riskesdas) showed that the prevalence of smoking among adolescents of school age or aged 10-18 years (both inside and outside school) had increased according to the 2018 Basic Health Research (Riskesdas) which was recorded at 9.1 %, up from Riskesdas 2013 which was 7.2%. Lack of knowledge about smoking will cause teens to be easily influenced by peers. Good knowledge illustrates a broader experience regarding smoking so that it will also affect one's smoking behavior Objectives: To determine the correlation of knowledge about smoking with smoking behavior of students at SMKN 6 Pekanbaru City. Methods: This study used an observational study with a cross-sectional study design. The sampling technique in this study was simple random sampling, where the number of respondents in this research was 149 students. Results: Knowledge about smoking is correlated to smoking behavior of students with a p-value of 0.048 (p-value <0.05) and a weak correlation power with a negative direction (r = -0,162). Conclusion: Knowledge about smoking is correlated to smoking behavior of students at SMKN 6 Pekanbaru City. The lower the students' knowledge about smoking, the worse their smoking behavior will be.

scholarly journals PREVALENCE AND RISK FACTORS OF THE ISCHEMIC HEART DISEASES IN INDONESIA: A DATA ANALYSIS OF INDONESIA BASIC HEALTH RESEARCH (RISKESDAS) 2013

2020 ◽  
Vol 6 (4) ◽  
pp. 138-144
Author(s):  
Tati Suryati ◽  
Suyitno Suyitno
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Health Research ◽  
Fruits And Vegetables ◽  
Heart Diseases ◽  
Health Sector ◽  
Ischemic Heart ◽  
Basic Health

Background: The Cardiovascular disease (CVDs) is leading in the world as a number one cause of death.  Ischemic Heart Disease (IHD) part of CVDs which is often also called coronary artery disease.Objective: The purpose this study is to know the risk factors for ischemic heart disease in Indonesia, 2013.Methods: The risk assessment analyzes was used to exam the risk factor IHD around 721,427 people from data of Basic Health Research (RISKESDAS) 2013 in Indonesia.Results: The finding of this study was former smoker (Adj. OR= 4.09, 95% C.I=3.78-4.43), hypertension (Adj. OR= 3.80, 95% C.I=3.60-4.10), obesity (Adj. OR= 1.96, 95% C.I=1.84-2.08), low consumption of fruits and vegetables (Adj. OR= 0.70, 95% C.I=0.57-0.87), and low physical activity (Adj. OR= 1.14, 95% C.I=1.06-1.23) are risk factor of IHD in Indonesia, 2013.Conclusion: The central, regional, and even village level special attention have a need for reducing IHD. Cross-program and sector collaboration are also needed collaboration with NGOs and the private sector to control risk factors outside the health sector and improve the environment.

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