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Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)

Consumption Compliance of Ferrum Tablet with Anemia in Pregnant Woman in Ngasinan Village Sukoharjo Central Java Anik Sulistiyanti; Ana Yuliana
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.684 KB) | DOI: 10.47701/icohetech.v1i1.748

Abstract

Iron deficiency called anemia is still a health problem in Indonesia which has a bad impact on sufferers, especially in pregnant women. Pregnant women affected by anemia reach 40% -50%, meaning that 5 out of 10 pregnant women in Indonesia suffer from anemia. Fe tablets or blood booster tablets are 60 mg of iron and 0.5 mg of folic acid given orally or commonly referred to as oral iron therapy. The iron content in Fe tablets is greater than that of folic acid, this is because iron deficiency anemia is the main cause of anemia in pregnant women compared to other iron deficiencies. The purpose of this study to find out the compliance of Fe tablets consumption with the incidence of anemia in pregnant women and the difference in the incidence of anemia after giving Fe tablets to pregnant women. This type of research is a quasi-experimental two group pretest-posttest design research design. The study population was all pregnant women in the village of Ngasinan, Sukoharjo. The research sample was 35 pregnant women with random sampling techniques. Collecting data using examination of hemoglobin levels and a closed questionnaire. Data analysis with univariat analysis and multivariat analysis using one way anova. The results of the one way anova test results obtained F count was 19,735 with a significance of 0,000. In the hypothesis test the test decision is if F arithmetic > F table or significance value ≤ 0.05. There is a significant difference between compliant in consuming Fe tablets with the incidence of anemia in pregnant women.
Correlation Between The Knowledge Level About Eating Patterns And The Incidence Of Anemia In Adolescents During Covid-19 Pandemic Anik Sulistiyanti; Fany Dwi Yulianti; Yulia Nur Khayati
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.743 KB) | DOI: 10.47701/icohetech.v1i1.1072

Abstract

The World Health Organization (WHO) determined that on March 12, 2020, it would receive a threat as a world pandemic status due to Coronavirus Disease (Covid-19). Coronavirus Disease (Covid-19) has an impact on all structures of life, which is felt by adolescents, especially those whose lives are in difficult and / or disadvantaged conditions. Covid-19 has the potential to transmit the virus to other people, and in some cases teenagers have to be isolated in hospital because of serious conditions. Changes in the covid-19 pandemic can affect knowledge, psychosocial and consumption patterns of adolescents so that it can cause anemia. Anemia is a condition in which the hemoglobin level is below 12g%. The purpose of this study was to determine correlation between the knowledge level about eating patterns and the incidence of anemia in adolescents during Covid-19 pandemic. This type of research analytic observational study with a cross sectional study design. The study population was all adolescents in SMA N 3 Sragen. The research sample was 60 adolescents with proportional random sampling technique. Data collection using examination of haemoglobin levels and a closed questionnaire. Data analysis with univariate analysis and bivariate analysis using chi square statistical test. The results showed that the level of knowledge of adolescents about eating patterns was mostly respondents with the less category, namely as many as 33 respondents (55%). The result shows that the incidence of anemia is mostly respondents with anemia category as many as 36 respondents (60%). The results of the statistical tests with chi-square obtained value = 17.911> 5.59 and p value = 0.000 <0.05 then Ho is rejected and Ha is accepted, which means statistically it can be concluded that there is a correlation between the level of adolescent knowledge about eating patterns with anemia in students of SMAN 3 Sragen. the result is 0.479 so that the close correlation between the level of knowledge of adolescents about eating patterns and the incidence of anemia is moderate. There is a correlation between the knowledge level about eating patterns and the incidence of anemia in adolescents during Covid-19 pandemic
Detection of Covid-19 on X-Ray Images Using a Deep Learning Convolution Neural Network Sri Widodo; Anik Sulistiyanti; Indra Agung Yudistira; Maryatun
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1887.08 KB) | DOI: 10.47701/icohetech.v1i1.1136

Abstract

Pneumonia Coronavirus Disease 2019 (COVID-19) is an inflammation of the lung parenchyma caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Supporting examinations carried out to establish a diagnosis of Covid-19 is through radiological examinations, one of which is a X-Ray The current method used to diagnose COVID-19 from X-Ray images is by studying the 2-D X-Ray image data set using the naked eye, then interpreting the data one by one. This procedure is ineffective. Proposed research aims to develop a Covid-19 detection application on localized X-Ray images using a Deep Learning Convolution Neural Network. This research includes four main points. The first is taking a X-Ray image from the internet. The second is X-Ray image preprocessing. The third is the determination of Region of Interest (ROI) from X-Ray imagery containing Covid-19 and normal X-Ray. The fourth is to detect COVID-19 automatically by classifying image suspected of being COVID-19 on X-Ray using the Deep Learning Convolution Neural Network method. The accuracy obtained is an accuracy of 95%.
CORRELATION OF NUTRITIONAL STATUS AND DIETARY HABIT WITH THE INCIDENCE OF ANEMIA IN ADOLESCENT GIRLS Anik Sulistiyanti; Nessatania Selfiani Widodo; Dian Nirmala Sari
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.318 KB) | DOI: 10.47701/icohetech.v3i1.2244

Abstract

Adolescence is a period where growth occurs rapidly, so that the nutritional needs of adolescence also increase. One of the nutrients whose needs are increasing is iron. The purpose of this study was to determine the relationship between nutritional status and diet with the incidence of anemia in adolescent girls. The method used in this research is an analytic observational research with a cross sectional research design. The research population is all young women at SMK Citra Medika Sragen. The research sample was 160 adolescent girls using stratified random sampling technique. Data analysis using univariate analysis and bivariate analysis using chi square test with 95% confidence level. The results of the study using statistical tests with chi-square values ​​obtained on nutritional status with the incidence of anemia were p value = 0.008 <0.05. The results of the analysis of eating patterns with the incidence of anemia are p value = 0.004 < 0.05 with an OR of 0.409. The conclusion of this study is that there is a correlation between nutritional status and dietary habit with the incidence of anemia in adolescent girls
The Development of Intelligent Software for Early Detection of Stunting in Toddlers Based on Anthropometry Sri Widodo Widodo; Anik Sulistiyanti -
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (361.169 KB) | DOI: 10.47701/icohetech.v3i1.2279

Abstract

Stunting describes chronic undernutrition status during growth and development since early life. This situation is represented by the z-score of height for age (TB/U) less than -2 standard deviations (SD). The current method used to determine the presence of stunting in toddlers is to use Health Card. The way to do this is by weighing toddlers every month, the weighing results are recorded in the Health Card, and between the weight points from last month's weighing results and this month's weighing results are connected by a line. The series of children's growth lines form a child's growth graph. This procedure is of course less effective. In addition, midwives can differ from one another in determining stunting status in toddlers. The research aims to conduct early detection of stunting in toddlers based on anthropometry using an intelligent system. This research includes 3 (three) main things. The first is the development of software for managing children's medical record data. The second is the development of software for early detection of stunting using the Support Vector Machine (SVM). The third is the development of graph software for toddler anthropometric data development. The results of this study are expected to provide a tool for posyandu cadres and midwives in early detection of stunting in toddlers.
TEST OF THE EFFECTIVENESS SQUATTING POSITION IN REDUCING THE DURATION OF THE SECOND STAGE OF LABOR Farida, Siti; Sulistiyanti, Anik; Fernandes, Angelina da Costa; Xao, Maria Margaretha Xan
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/vh34kc33

Abstract

The second stage of labor is a crucial phase that influences maternal and neonatal outcomes. Its duration is an important indicator of whether labor progresses normally or requires intervention. Birthing position plays a role in this process. The squatting position is expected to facilitate cervical dilation and fetal head descent, thus shortening the second stage. This study aimed to determine the effect of squatting on the duration of the second stage of labor. An experimental design was conducted with two groups: 15 mothers delivering in the squatting position and 15 in the lithotomy position. Data on the duration of the second stage were collected through observation and analyzed using the t-test. Results showed a significant difference between groups (p = 0.000 < 0.05). Mothers in the squatting position experienced a shorter second stage compared to those in the lithotomy position. The squatting position was proven to enhance contractions, improve the mechanism of labor, and facilitate optimal opening of the birth canal. It can be considered a safe and effective alternative birthing position to accelerate delivery, provided there is adequate education and professional supervision.