Symposium Topic V
9. METEOROLOGICAL VARIABILITY AND ITS LAG TIME EFFECTS ON DENGUE INCIDENCE IN MAKASSAR
CITY: A RANDOM FOREST APPROACH
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The 4th International Conference on Environmental Risks and Public Health (ICER-PH-2022)
“Environmental Health Challenge in Pandemic on Global Maritime”
Conclusions
Utilization of lag time formeteorological variables combined with random forest approach can be used as an early warning system, especially for the occurrence of dengue fever. Such information will be very useful in formulating strategies for preventing and controlling infectious diseases, especially those that are closely related to climatic factors.
Keywords:Meteorological, Lag time, Dengue, Random forest
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The 4th International Conference on Environmental Risks and Public Health (ICER-PH-2022)
“Environmental Health Challenge in Pandemic on Global Maritime”
Rahmi Amir1, Magfirah, ayudi2
1,2Environmental Health Department, Faculty of Public Health, Muhammdiyah University of Parepare
E-mail of Corresponding Author: [email protected]
ABSTRACT Background
Microplastics are particles that are in every Bottled Drinking Water (AMDK) in Indonesia that have a negative impact on the body if they accumulate in the body. The purpose of this study was to determine the content of microplastics in Indonesia, the factors that influence them and the impact on the human body.
Methods
This study uses a qualitative method with a systematic literature review approach by reviewing 8 journals that have been screened using the prism method according to the inclusion criteria with a data base derived from science direct, pubmed and google scholar and thevos viewer application.
Results
The results of the study showed that in bottled water, the concentration of microplastics was 7,043 - 8,339 particles/L with small sizes in the range of 1-10 m and large ones in the range of 10-5000 m, where the dominant form of microplastics was fiber and fragments, mostly white with The dominant composition is polypropylene (PP), polyethylene (PE), and polyethyleneterephthalate (PET) polymers. Factors that affect microplastics in bottled drinking water are water sources, production processes, exposure to sunlight and repeated use of bottles. Microplastics can cause hormonal imbalances, risk of heart disease and infertility, digestive disorders, and growthinhibition.
Conclusions
Ways to reduce MP particles in AMDK are traditional filtering of rawwater, electro 10. SYSTEMATIC LITERATURE REVIEW
OF MICROPLASTICS IN BOTTLED DRINKING WATER IN INDONESIA
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The 4th International Conference on Environmental Risks and Public Health (ICER-PH-2022)
“Environmental Health Challenge in Pandemic on Global Maritime”
coagulation, magneticextraction and membrane separation.
Keywords: Microplastics; Bottled drinking water; influencing factors; impact.
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The 4th International Conference on Environmental Risks and Public Health (ICER-PH-2022)
“Environmental Health Challenge in Pandemic on Global Maritime”
Agus Bintara Birawida1, Anwar Daud2, Erniwati Ibrahim3, Muhamad Subhan4, Nurlia Sila5
1,2,3,5 Hasanuddin University/Environmental Health Department,
4 Dayanu Ikhsanuddin University/Public Health Department E-mail of Corresponding Author: [email protected]
ABSTRACT Background
Domestic activities of coastal and island communities are factors that affect the quality and quantity of groundwater availability, including the use of detergents. Chemicals used in detergents can have a negative impact, both on public health and the environment. The dynamic spatial model is a solution to overcome the problem of detergent contamination. The purpose of this study is to build a dynamic model of the distribution of detergent pollutants in well water and their impact on public health in small islands.
Methods
This research is an observational research using spatial analysis approach with kriging interpolation method and dynamic modeling with stock flow. Simple random sampling (simple random sampling).
Results
The results of the spatial modeling show that the patternthe distribution of contamination is higher in the east to the center of the island. The dynamic modeling results show that the detergent concentration distribution pattern in well water with the lowest concentration is 0.0 mg/l and the highest is 0.16389 mg/l. The pessimistic scenario experienced the highest increase of 0.21 mg/l, while the optimistic scenario experienced the highest increase of 0.03 mg/l. An optimistic scenario is built with 75% off-island laundry activities and IPAL management.
Conclusions
Based on the results of the analysis, laundry activities and WWTP management must be 11. SPATIAL DYNAMIC MODELING OF DETERGENT DISTRIBUTION IN WELL WATER AND THEIR IMPACT
ON COMMUNITY HEALTH IN SMALL ISLAND
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The 4th International Conference on Environmental Risks and Public Health (ICER-PH-2022)
“Environmental Health Challenge in Pandemic on Global Maritime”
considered in order to minimize detergent contamination on small islands.
Keywords:Dynamic modeling, Spatial analysis, Detergent, Well water,Small Island
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The 4th International Conference on Environmental Risks and Public Health (ICER-PH-2022)
“Environmental Health Challenge in Pandemic on Global Maritime”
Yusriani1, Muhammad Khidri Alwi2
1,2 Universitas Muslim Indonesia
E-mail of Corresponding Author: [email protected]
ABSTRACT Background
Health promotion for pregnant women is very important in an effort to reduce the problem of maternal mortality to encourage all pregnant women to cultivate a culture of healthy living behavior so that they are willing and able to change unhealthy habits. The purpose of this study was to determine the relationship between knowledge, attitudes, and roles of health workers with health promotion for pregnant women in the South Bontonompo District, Gowa Regency.
Methods
This type of research used a cross-sectional design. The total population is 304 people. To calculate the sample size using the Slovin formula so that the number of samples is 265 pregnant women. Data analysis using univariate analysis and bivariate analysis using chi-square test.
Results
The results of the Chi-Square test showed that knowledge obtained p-value = 0.047, attitude obtained p-value = 0.035, and the role of health workers obtained p-value = 0.019. So that the variables of knowledge, attitudes, and roles of health workers are related to the promotion of the health of pregnant women.
Conclusions
There is a relationship between knowledge, attitudes, and the role of health workers in relation to the promotion of the health of pregnant women. It is expected that pregnant women can increase their knowledge, and change attitudes regarding health promotion by increasing literacy, paying attention to, and recording health counseling materials carried out by health
12. KNOWLEDGE, ATTITUDE, AND ROLE OF HEALTH