| Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
|
|
|---|---|---|
| Article Number | 09001 | |
| Number of page(s) | 4 | |
| Section | Culture and Environment Development in Coastal Community | |
| DOI | https://doi.org/10.1051/e3sconf/201912509001 | |
| Published online | 28 October 2019 | |
Meta-analysis of community’s adaptation pattern with tidal flood in Pekalongan City, Central Java, Indonesia
1 Magister of Environmental Science, School of Postgraduate Studies, Diponegoro University, Semarang – Indonesia
2 Department of Oceanography, Faculty Of Fisheries And Marine Sciences Diponegoro University, Semarang – Indonesia
3 Department of Anthropology, Faculty of Humanity, Diponegoro University, Semarang – Indonesia
* Corresponding author: faradwisaktikartika@gmail.com
In the last two decades, northern coast Java Island occasionally experienced a tidal flood. One of area that affected by tidal flood is Pekalongan City, a small city in Central Java. Many studies have been conducted to investigate this issue. The area of investigation includes physical damage and people’s adaptation with tidal flood. This paper tries to explore people’s adaptation pattern in Pekalongan City with tidal flood. The meta-analysis approach was adopted as there are many papers that had investigated this phenomenon. This paper shows that community’s adaptation patterns in Pekalongan city tidal flood are divided into two response patterns, cognitive map and artifact patterns. These patterns have produced a new way of life or culture in the community. By understanding how people adaptation with tidal flood, hopefully, scientist and policymaker can bring more appropriate solution or policy to help people’s adaptation with tidal flood or how they minimize tidal flood effect in more sustainable way.
Key words: Tidal Flood / adaptation pattern / environment anthropologie
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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