Forests are the source of community life. In recent years the problem of natural disasters in forest fires (Kerhutla) in two provinces in Kalimantan and Sumatra has been very detrimental to the state and local communities. Disasters are events that can be social, economic and political. Based on the results of this study it can be concluded that forest fires compared to 2015 and 2019, the largest forest and land burning was in 2015, which is the largest forest and burning area of around 2.6 million hectares. Meanwhile, in 2019 forest and land fires will reach 328,722 hectares. On average, forest fires are caused by humans such as land clearing and illegal logging, land clearing usually occurs every year, but this time the forest fires are organized. they are irresponsible parties who deliberately ride local communities to intentionally commit forest fires. In this study, research is analyzed through state-centric and communal analysis and market-based dynamics. The result is when viewed from the state-centric that the State through its governmental institutions has issued several policies at the national level to the local level while these countries are invited to participate in international cooperation to reduce and minimize fires. If viewed from a communal analysis that forest fires are not free from the surrounding culture. This is evidenced by the tradition claimed every year to open land for settlements. Apart from illegal logging and when viewed from a Market Based analysis that forest fires are precisely caused by companies that play to their advantage. In the case of forest and land fires, there is actually an interest to be achieved from forest and land fires. There is some data that results that there is political competition by the local political elite so that the forest fires occur. Forest fires will continue if the government cannot provide strict laws to irresponsible parties. The state must be present as a tool to control its citizens so as not to burn forests and land that harms the country.
Collaborative governance and social capital can help to form a resilient community in the wake of a disaster, such as the eruptions of Mount Merapi in Indonesia. This study examines the successfulness of the handling of disasters in Indonesia, with particular focus on eruptions of Mount Merapi. Disasters foster a close relationship between the government and the community in response to the emergency. This study uses a mixed method to analyse social networks in evaluating the structure of disaster networks in Indonesia and their implications for disaster management. Data were collected via a survey of 100 respondents from 28 institutions representing, for practical purposes, each population identified by each institution (government, non-governmental organisations and volunteers) that participated in handling the Merapi eruption disaster. The findings revealed that considerable miscommunication between institutions reduced the effectiveness of disaster management so that close discussion about conflict resolution was needed to develop more mature and systematic planning. Inter-agency trust is also felt to be necessary in disaster management. Trust between agency members and other institutions strongly supports the success of systematic disaster management. Meanwhile, every institution must foster open leadership by giving individuals with precise knowledge of the situation and the condition of the disaster area a mandate to lead directly in the field. Disaster governance is carried out through the agreement of each institution formed in the Disaster Emergency Planning (Rencana Penanggulangan Kedaruratan Bencana – RPKB) guidelines. These guidelines expect the Government and the community to coordinate with each other in a structured and systematic manner in the process of disaster management.
Social media can quickly help people interact with the Government and use technology to turn communication into interactive dialogue. This study looks at Omnibus Law policies from government ethics through social media Twitter hashtag (#) Omnibus law. The method used in this research is qualitative, then data is collected from the Twitter hashtag using Nvivo12 Plus to analyze the data. This study's results reveal that the Hashtag (#) Omnibus Law's effectiveness is proven to be efficient in viewing data analysis through information dissemination on Nvivo12 Plus on Twitter to see policies and responses from the public who use the Hashtag (#) Omnibus Law.
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