This research is conducted to determine and analyze carrying capacity of agricultural land of Sumatra Selatan in 2015 as well as to project it in 2030. The analysis is also carried out to describe the Optimum Population Number and Land Requirement per Hectare of each regency and municipality in 2030. The research method applied using quantitatively descriptive method in which the data is collected from secondary source such as Agricultural Ministry and Central Statistics Agency publication and supported by literature study. The result shows that Sumatra Selatan has high carrying capacity (τ > 1) in 2015 and 2030. It means that the province is capable of food self-sufficiency since the province is underpopulated. The projection indicates that there is decline of carrying capacity in 2030 occurring across the province. For example, Ogan Komering Ulu (OKU) Regency which previously has high carrying capacity, is predicted to have experience low carrying capacity.
Food security is a burden to realize sustainable development in achieving the zerohunger goal. This study aimed to examine the distribution of food security levels and the factors that influence the level of food security in the Special Region of Yogyakarta. Quantitative analysis was carried out in this study based on secondary data. The method of determining food security was carried out by applying the concept of the Food Security and Vulnerability Atlas (FSVA) which consists of three food pillars, namely food availability, access, and utilization. The results proved that Gunungkidul Regency was the area with the highest score for food availability, while the lowest were Bantul and Sleman. On the pillars of food access and food utilization, the highest was in Sleman, while the lowest was in Gunungkidul. The value of food security from the highest were the City of Yogyakarta (84.47), Sleman Regency (82.37), Bantul (79, 51), Gunungkidul (79.31), and Kulon Progo (79.03). All areas in DIY are included in very good food security. Food security policies need to be directed at handling food-poor households in villages through increasing knowledge about nutrition. Meanwhile in urban areas, it can be done through expanding job opportunities and community empowerment.
The reduced area of agricultural land in West Sleman will affect the availability of food in the region. The decreasing availability of food will have an impact on the condition of the carrying capacity of the land, whether it will get better or worse. Based on these problems, a study was conducted to determine the condition of the class and the carrying capacity of rice farming land in West Sleman Regency in 2014-2020 and its effect on the indicators used. The data used in this study is secondary data from the Central Bureau of Statistics in 2015-2021 and analyzed quantitatively descriptively. The method used to calculate the carrying capacity of agricultural land using the formula Odum et al (1985) then analyzed by multiple linear regression. The results of the analysis of this study indicate that the carrying capacity of agricultural land in each sub-district in West Sleman is between 1.01-2.61. In addition, the trend of changes in the carrying capacity of agricultural land in West Sleman from 2014 to 2020 fluctuated. Changes in the pattern of carrying capacity of agricultural land are influenced by various factors of agricultural land area, number of harvests, population, and land productivity in each sub-district in West Sleman. The most influential indicators on the carrying capacity of the land are the area of harvested land and the average rice production. Changes in the decrease in the carrying capacity of agricultural land can cause food availability in every sub-district in West Sleman to also decrease.
The northern coastal plains of Kendal Regency are deltaic landform whose processes are strongly influenced by fluvial (fluvial dominated deltas). The area of land in the Kendal Delta area continues to experience changes due to regional developments that occur as Kendal Regency is designated as one of the national activity center in terms of strategic and industrial economies. Various developments can trigger various land conversions so that studies are needed to identify changes occurring. The purpose of this study is to identify land cover patterns based on geomorphological aspects and analyzed land cover changes based on landscape structures in Delta Kendal in 1989 and 2021. Changes in the Kendal Delta landscape structure were analyzed using landscape metrics approach. The results showed that the land cover pattern in the Kendal Delta from 1989 to 2021 has a change. Based on the calculation from landscape metrics, land cover in Delta Kendal that has a relatively high patch density tends to have a high level of interference, and vice versa. In general, there is a relationship if there is an increase in the value of PD and ED, there will be a decrease in the value of MNN and IJI.
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