Gambaran Tingkat Pengetahuan Masyarakat dalam Mengantisipasi Penyalit Pasca Banjir di RT 04, Dusun Nusupan, Desa Kadokan

Floods occur when normally dry land areas are inundated with large volumes of water, generally caused by prolonged heavy rainfall or water runoff from higher areas. Following floods, the risk of infectious diseases increases due to the presence of infectious agents such as bacteria, viruses, parasites, and other hazardous substances. Common post-flood diseases include acute respiratory infections (ARI), diarrhea, typhoid fever, leptospirosis, dengue hemorrhagic fever (DHF), and skin diseases. This study aims to describe the characteristics of the community and their level of knowledge regarding efforts to prevent post-flood diseases in Dusun Nusupan. The research employed a descriptive quantitative method with purposive sampling, involving 67 respondents. Data were collected using questionnaires. The results showed that the majority of respondents were in late adulthood, female, had a middle-level education, and most had previously experienced post-flood diseases. The community’s level of knowledge was generally good, with nearly all respondents demonstrating adequate understanding of preventive measures. However, the high incidence of post-flood diseases among respondents highlights that public health risks remain significant. These findings indicate the necessity of continuous education and the implementation of clean and healthy living behaviors to minimize the health impacts of floods.

Authors

Publication Details

Journal
Nian Tana Sikka Jurnal ilmiah Mahasiswa
Published
2025-09-16
DOI
https://doi.org/10.59603/niantanasikka.v3i5.1015
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gambaran Tingkat Pengetahuan Masyarakat dalam Mengantisipasi Penyalit Pasca Banjir di RT 04, Dusun Nusupan, Desa Kadokan

Putri Apriliyana, Ika Silvitasari
Nian Tana Sikka Jurnal ilmiah Mahasiswa
Computer Science and Engineering
article

Gambaran Tingkat Pengetahuan Masyarakat dalam Mengantisipasi Penyalit Pasca Banjir di RT 04, Dusun Nusupan, Desa Kadokan

Putri Apriliyana, Ika Silvitasari
article en

Abstract

Floods occur when normally dry land areas are inundated with large volumes of water, generally caused by prolonged heavy rainfall or water runoff from higher areas. Following floods, the risk of infectious diseases increases due to the presence of infectious agents such as bacteria, viruses, parasites, and other hazardous substances. Common post-flood diseases include acute respiratory infections (ARI), diarrhea, typhoid fever, leptospirosis, dengue hemorrhagic fever (DHF), and skin diseases. This study aims to describe the characteristics of the community and their level of knowledge regarding efforts to prevent post-flood diseases in Dusun Nusupan. The research employed a descriptive quantitative method with purposive sampling, involving 67 respondents. Data were collected using questionnaires. The results showed that the majority of respondents were in late adulthood, female, had a middle-level education, and most had previously experienced post-flood diseases. The community’s level of knowledge was generally good, with nearly all respondents demonstrating adequate understanding of preventive measures. However, the high incidence of post-flood diseases among respondents highlights that public health risks remain significant. These findings indicate the necessity of continuous education and the implementation of clean and healthy living behaviors to minimize the health impacts of floods.

Nian Tana Sikka Jurnal ilmiah MahasiswaVol. 3(5)
Openalex Percentile: Top 87%
Computer Science and Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.