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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan) Journal of Degraded and Mining Lands Management Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Kurniawan Sigit Wicaksono
Brawijaya University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Engineering Environmental Science

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Determination of the spatial variability of soil nitrogen content based on reliefs in an apple orchard, Batu, Indonesia Kurniawan Sigit Wicaksono; S Suratman; R Suharyadi; Sigit Heru Murti
Journal of Degraded and Mining Lands Management Vol 6, No 3 (2019)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2019.063.1713

Abstract

A better understanding of the spatial variability of soil nitrogen content is required to achieve the best management in precision agriculture. The purpose of this research was to determine the spatial variability of soil nitrogen content based on reliefs in an apple orchard. The research was conducted from March to August 2018 in a 1210 hectare of apple orchard, Batu, East Java Province, Indonesia. Soil samples were taken using the stratified random sampling method. Data were processed by the GLM Univariate 5% method with SPSS 16.0. The results of the statistical analysis show that the Sig value and coefficient of determination were 0.000 and 0.846, respectively. This condition means that soil nitrogen content was significantly different in various reliefs. The apple orchard was divided into 10 (ten) zones with different soil nitrogen content in various relief. It is crucial as a basis for implementing precision agriculture in apple orchards, meaning that the determination of fertilizer dosage is adjusted to the soil nitrogen content in the various zones. This study concluded that relief significantly affects the spatial variability of soil nitrogen content.
PENGARUH PERBEDAAN TUTUPAN LAHAN TERHADAP INFILTRASI TANAH PADA KAWASAN UB FOREST KARANGPLOSO MALANG Kurniawan Sigit Wicaksono; Istika Nita; Aditya Nugraha Putra; Widianto Widianto; Fikri Hadi Rusdianto; Priska Ayuningtyas
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 1 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.078 KB) | DOI: 10.21776/ub.jtsl.2022.009.1.14

Abstract

Changes in land cover of forest provide different soil organic matter which affects soil infiltration through soil porosity. The purpose of this study was to determine the effect of differences in land cover on soil infiltration at UB Forest of Karangploso Malang. The study area was divided into six plots, namely protected area plots, mahogany production forests, pine production forests intercropped with coffee plants that have three different canopy densities (tenuous, sufficient and tight) and pine production forests intercropped with seasonal crops. Field observations were carried out to analyze the characteristics of vegetation with a sample plot measuring 20x20 m. The parameters observed were canopy density, basal area, plant density, litter and understorey. The taking of soil samples was done by making minipit which was repeated four times;  the parameters observed were organic matter, texture, bulk density, particle density and soil porosity. Infiltration measurements were carried out with two methods i.e. single ring infiltrometer and rainfall simulator, each of which was repeated three times. Observation data were subjected to Analysis of Variance (ANOVA) and followed by with LSD test with a significant level of 5%. The results showed that differences in land cover can affect soil infiltration (F-count > F-table 3.33). The effect of land cover on infiltration occurs through litter which is a source of organic material which will then affect the physical properties of the soil, namely soil porosity. Soil porosity is a very influential factor in soil infiltration. The highest soil infiltration reta of 131.33 cm hour-1 was found in protected areas. Meanwhile, the lowest infiltration rate of 12 cm hour-1 was found in pine production forest plots intercropped with annual crops.
Estimation Model of Robusta Coffee (Coffea canephora) Productivity Based on Soil, Plant, and Remote Sensing Data Mochtar Fauzi; Nisfi Fariatul Ifadah; Soemarno Soemarno; Kurniawan Sigit Wicaksono
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.52-62

Abstract

Coffee is an important global commodity, and understanding the relationships among factors influencing its productivity is essential for improving production efficiency. This study aimed to evaluate the effects of soil, plant, and remote sensing variables on Robusta coffee productivity. The production estimation model included soil variables (potassium, pH, and electrical conductivity), crop variables (plant height, crown diameter, and chlorophyll content), and remote sensing data (NDVI). Data were collected directly from field plots measuring 10 m × 10 m. Multiple linear regression models were developed to improve prediction performance. Model accuracy was evaluated using paired t-tests, RMSE, and RRMSE. The results showed that the model based on soil and crop data (R² = 0.85) performed slightly better than the model based on soil, plant, and NDVI data (R² = 0.88). Furthermore, the soil and crop data-based model produced lower error values (RMSE = 2659.44; RRMSE = 11%) than the model incorporating NDVI (RMSE = 2737.10; RRMSE = 12%). These findings indicate that soil and plant variables play a dominant role in predicting coffee productivity, while remote sensing data provide complementary information. This study provides a comprehensive understanding of the integrated influence of soil, plant, and remote sensing variables in estimating and improving Robusta coffee productivity.
Co-Authors Aditya Nugraha Putra Fikri Hadi Rusdianto Istika Nita Mochtar Fauzi Nisfi Fariatul Ifadah Priska Ayuningtyas R. Suharyadi S Suratman Sigit Heru Murti Soemarno Soemarno Widianto Widianto