KAJIAN DISTRIBUSI C ORGANIK DAN KADAR AIR TAHAN DI LAHAN KOPI ROBUSTA KABUPATEN JEMBER DENGAN KETINGGIAN BERBEDA PADA AKHIR MUSIM PENGHUJAN

Jurnal Tanah dan Sumberdaya Lahan Pub Date : 2024-01-01 DOI:10.21776/ub.jtsl.2024.011.1.15

Ika Purnamasari, Rifqi Ilman Sanjaya, Fatya Rachman, Bagus Setyo Eko Priyono, Y. Wijayanto

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Abstract

Coffee (Coffea spp.) is one of the leading commodities, which contributed 42.98 percent to the export value of the annual crop agricultural sector in 2013-2020. The productivity of Robusta coffee plants in the Jember region has tended to decrease significantly over the last 5 years. Geographic Information Systems (GIS) can be used to determine the distribution of organic C and soil water content as a basis for proper land management. The results showed that the percentage of ideal distribution area for organic C content was 94.94%, and the soil water content was at a value of 6.92-18.68%, where the status of moderate soil water content dominated by 59% of the total land. The results of simple linear regression analysis showed that the organic C variable (X1) had an effect of 29% and soil water content (X2) 10% productivity values. In addition, multiple linear regression analysis showed a strong influence of 63% on the value of productivity. The age factor also has an effect of 57% on the value of productivity.

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雨季结束时不同海拔地区罗布斯塔咖啡田的有机碳分布和水分含量研究

咖啡（Coffea spp.）是主要商品之一，占 2013-2020 年全年农作物出口额的 42.98%。在过去 5 年中，Jember 地区的罗布斯塔咖啡产量呈显著下降趋势。地理信息系统（GIS）可用于确定有机碳和土壤含水量的分布情况，为适当的土地管理提供依据。结果显示，有机碳含量理想分布区的百分比为 94.94%，土壤含水量值为 6.92-18.68%，其中土壤含水量适中的状态占总土地的 59%。简单线性回归分析结果显示，有机碳变量（X1）对生产力值的影响为 29%，土壤含水量（X2）对生产力值的影响为 10%。此外，多元线性回归分析表明，对生产率值的影响很大，达到 63%。年龄因素对生产力值的影响也达到了 57%。

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Jurnal Tanah dan Sumberdaya Lahan

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