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The development of the world tourism industry in daily life still focuses on the beauty of tourist attractions and the economic income of a country. Still, it ignores crisis conditions, such as disasters in tourist areas. Therefore, disaster mitigation is expected to educate the public and tourists to prepare them for a disaster. The research objective is to universally analyze the development of tourism research topics based on disaster mitigation. The research method used was bibliometric analysis. Bibliometric analysis helps identify the distribution of articles published in Scopus-indexed journals, authors, institutions, citations, countries, topic trends, keywords, and networks between authors. The research results show that the disaster mitigation process refers to structural and nonstructural mitigation actions, such as infrastructure development, increasing public knowledge about disaster mitigation, creating disaster evacuation routes, and strengthening regulations. Meanwhile, the results of the bibliometric analysis show that the country that produces the most scientific writing on tourism and disaster mitigation is Indonesia, with 49 articles, followed by China with 16 articles, the United States with 12 articles, Japan with 5 articles, India and the UK with 4 articles. These results indicate that Indonesian writers have contributed globally to tourism and disaster mitigation. [ABSTRACT FROM AUTHOR]

Rembang Regency has little annual rainfall, ranging from 1,000 to 2,000 mm. The Capluk Watershed in Rembang is the only one with a discharge station. The average rainfall of the watershed in 2011 to 2020 is relatively low (1,877 mm/year). Moors are the dominant land use in the watershed, so the watershed is prone to drought. This study aims to assess the water balance and land use planning to reduce water deficits. The FJ Mock modeling method is used to understand hydrological phenomena, where the results can help manage water resources by regulating land use by utilizing the exposed surface parameters in the model. The results show that the demand for water in the watershed for the 2011 to 2020 period reaches an average of 49,151,012 m³/year, while the availability of water is 132,512,172 m³/year. This condition shows that the total water balance experiences an average surplus of 83,361,160 m³/year but experiences a deficit in the dry season, an average of 3,452,278 m³/year. For land use planning, scenario 5 (a combination of regional spatial plan maps, forest area maps, general plan for forest and land rehabilitation maps, and land use in 2020) is the best in reducing the water deficit by 20,383,274 m³ or can lower the water deficit to 4,957,173 m³. [ABSTRACT FROM AUTHOR]

Regional development is one of the efforts to improve socioeconomic development, reduce regional disparities and preserve the environment. The Gross Regional Domestic Product (GRDP) of Banyumas Regency has increased over the past 5 years, with the largest contributor to the Gross Value Added category being the Agriculture and Forestry sector. Arabica coffee varieties are one of the mainstay commodities in the region and a source of income for the people of Kabupaten Banyumas. Arabica coffee is a plantation commodity that has been determined to be developed in Kabupaten Banyumas in accordance with the plantation commodity development plan in the RTRW Kabupaten Banyumas 2012-2032. The main objective of this research is to develop a strategy in planning the development of arabica coffee plantation area in Kabupaten Banyumas. The research area covers all 29 subdistricts starting from January to April 2024. In looking at the actual distribution of arabica coffee plantations, overlay analysis techniques were used using data from land use maps, elevation maps. Land availability was analyzed through overlay and matching techniques with ArcGIS software and direct measurement. Arabica coffee agribusiness system was analyzed through R/C ratio descriptively. The development strategy of Arabica coffee plantation area in Banyumas Regency was conducted using AWOT analysis. The results showed that the actual distribution of arabica coffee plantations in the cultivation area in Banyumas Regency covers several sub-districts and the area reaches 1,214 ha. Available and suitable land for the development of arabica coffee plantation in the cultivation area is indicated to reach an area of 20,471 ha, of which the largest area is located in Lumbir Sub-district with an area of 3,726 ha or 18.09% of the total available land area. [ABSTRACT FROM AUTHOR]

Landslides occur in many parts of the world. Well-known drivers, such as geological activities, are often enhanced by violent precipitation in tropical regions, creating complex multi-hazard phenomena that complicate mitigation strategies. This research investigated the utility of spatial data, especially the digital elevation model of SRTM and Landsat 8 remotely sensed data, for the estimation of landslide distribution using a machine learning approach. Bogor Regency was chosen to demonstrate the approach considering its vast hilly/mountainous terrain and high rainfall. This study aimed to model landslide hazards in Sukajaya District using random forests and analyze the key variables contributing to the isolation of highly probable landslides. The initial model, using the default settings of random forest, demonstrated a notable accuracy of 93%, with an accuracy ranging from 91 to 94%. The three main predictors of landslides are rainfall, elevation, and slope inclination. Landslides were found to occur primarily in areas with high rainfall (2,668–3,228 mm), elevations of 500 to 1,500 m, and steep slopes (25–45%). Approximately 4,536 ha were potentially prone to landslides, while the remaining area (> 12,000 ha) appeared relatively sound. [ABSTRACT FROM AUTHOR]

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