Background: The main determinant of the degree of public health apart from environmental conditions is the behavior of the community. Riskesda 2007 data shows that only 38.7% of households that have practiced clean and healthy living behavior have practiced clean and healthy living behavior. In Baubau City, people still wash their hands and defecate improperly. So, they are still at risk of contracting infectious diseases. Objective: This study aims to determine the risk areas for clean and healthy living behavior in Baubau City. Methods: This type of research is an observational study with a Geographic Information System (GIS) approach. The number of respondents was 1.720 in 43 villages. Each village was represented by 40 respondents with the sampling method in each village namely simple random sampling. Results: Based on the calculation results obtained a maximum total risk index of 38 and a minimum total risk index of 9. to obtain an interval value is 7. Villages with clean and healthy living behavior Very high risk in 3 villages. High risk in 13 villages. Medium risk in 21 villages and less risky in 6 villages. Conclusion: Most of the villages in Baubau City are included in clean and healthy living behavior at medium risk.
Background: The quality of the air consumed by the community is highly dependent on the quality of the source. sources that will not be protected are easily contaminated by germs or hazardous materials used and disposed of around air sources. Objective: This study aims to determine the level of risk of clean water sources consumed by the people at Baubau City. Based on these results, the Baubau City government can use it to assist in the decision-making process related to the sanitation program, and in determining the sub-districts that are prioritized in the intervention program. Methods: This type of research is an observational study with a Geographic Information System (GIS) approach. The number of respondents was 1,720 in 43 villages, each kelurahan was represented by 40 respondents, with the sampling method in each village, namely simple random sampling. Results: The results showed that 13 villages were declared less at risk, namely Palabusa, Bone-Bone, Tomba, Waborobo, Baadia, Kadolomoko, Kampeonaho, Ngkari-Ngkari, Liabuku, Lakologou, Labalawa, Gonda Baru, and Bugi. The 19 villages at moderate risk are Bukit Wolio Indah, Karya Baru, Wameo, Wangkanapi, Tampuna, Nganganaumala, Wale, Lanto, Lowu-Lowu, Lamangga, Kaobula, Kantalai, Tanganapada, Kaisabu Baru, Tarafu, Batulo, Bataraguru, Sukanayo, and Waruruma. 9 high-risk villages, namely Liwuto, Sulaa, Kadolo, Katobengke, Kadolo Katapi, Kalia-Lia, Kolese, Wajo, and Lipu. Meanwhile, 2 sub-districts are at very high risk, namely Waliabu and Melai sub-districts. Conclusion: The conclusion is that most of the urban villages in Baubau City include the risk of air source pollution. Most of the villages in Baubau City include the risk of water source pollution, a few are high risk and very high risk.
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