Christanti Agustina
Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

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PENGARUH BATUAN DAN SERESAH PADA PERMUKAAN TANAH TERHADAP PENDUGAAN LONGSOR HASIL SIMULASI Oktaviani Putri Lestari; Sri Rahayu Utami; Christanti Agustina
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 2 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.814 KB) | DOI: 10.21776/ub.jtsl.2022.009.2.15

Abstract

Landslide is a natural disaster that often occurs in Indonesia. The total of landslides from 2003 to 2018 is 363, which were caused by controlling factors and triggering factors or restraining factors. The relation between two factors (litter and rock) that cause landslide is still rarely researched. This research was carried out from September 2020 to March 2021, in Agro Techno Park Cangar and Jatimulyo Experimental Station. A simulation used an acrylic box (100 cm x 50 cm x 75 cm), with soil 20 cm thick on an aluminium plate adjusted at a slope of 50°. Rainfall intensity was set at 70 mm hour-1, using an Adjustable Water Gun (as a rainfall simulator) with a current of 2.6 amperes rotation sprayer A. There were eight combination treatments consisting of three factors. The variables measured were landslide duration and volume. Data obtained were then analyzed using an unpaired t-test. Apparently, the faster the landslide occurs, the larger the avalanche volume. Among the three factors observed (soil texture, litter and rocks at the surface), surface litter was the most determining factor for landslide duration and volume. Landslide duration and volume were far different between the two soil textural classes when there was no litter at the soil surface. In contrast, if there was 3 cm litter, landslide duration and volume were quite similar between the two soil textural classes. To a small extent, the occurrence of the rocks at the soil surface may fasten and increase landslide volume.
SIMULASI PENDUGAAN LONGSOR: PENGARUH INTENSITAS HUJAN PADA TANAH DENGAN TEKSTUR DAN KANDUNGAN BAHAN ORGANIK YANG BERBEDA Nur Fadillah Aunur Rofiq; Sri Rahayu Utami; Christanti Agustina
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 2 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.755 KB) | DOI: 10.21776/ub.jtsl.2022.009.2.16

Abstract

Natural factors and human actions can cause landslides. Natural factors include high rainfall intensity and mountainous areas or hills with steep slopes. Human actions that can cause landslides are land conversion and inappropriate land management. This study aimed to explore the effect of rain intensity on soils with different textures and organic matter content. The landslide simulation study was conducted at the Agro Techno Park and Experimental Field, Faculty of Agriculture, Brawijaya University. This study used an acrylic box (size 100 cm x 50 cm x 75 cm) and aluminium plate as a base, which was adjusted to a slope of 50. There were eight treatment combinations consisting of three factors: soil texture (silty and clayey), rainfall intensity (70 mm hour-1 and 120 mm hour-1 ), and organic matter application (without and with organic matter application). The variables measured were landslide duration and volume. The results showed that the duration and volume of landslide materials are largerly influenced by rainfall intensity. Adding organic matter to the soil at any rainfall intensity may decrease landslide duration and volume by half compared to without organic matter application. Among the three factors examined (soil texture, organic matter application and rainfall intensity), rainfall intensity seems to be the most determining factor in landslide duration and volume.
PEMETAAN KELAS KAPABILITAS KESUBURAN TANAH SEBAGAI DASAR IDENTIFIKASI PERMASALAHAN DAN STRATEGI PENGELOLAAN LAHAN SAWAH Christanti Agustina; Novalia Kusumarini; Mochtar Lutfi Rayes
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 2 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (498.102 KB) | DOI: 10.21776/ub.jtsl.2022.009.2.23

Abstract

Farmers' lack of understanding of agricultural land characteristics leads to inaccuracy in farm management. As a result, this research aimed to classify soil fertility capability and design soil management strategies based on the limiting factor. This study took place in Malang Regency's Turen District. Soil samples were taken from 45 observation locations throughout 15 LMUs (Land Map Unit). The Fertility Capability Classification (FCC) technique was used to evaluate soil fertility classification utilizing soil texture, pH, organic C, CEC, cation base (K, Na, Ca, Mg), and base saturation. Turen District was found to have eight fertility capability classifications, including Chm (3-8 %), Chm (8-15 %), CLhm (0-3 %), CLhm (3-8 %), LChm (3-8 %), Lhm (0-3 %), Lhm (3-8 %), and Lhm (8-15 %). Single symbol C is interpreted as clay texture for both top and subsoil, as well as a single symbol for L as loamy texture. Symbol CL is interpreted as clay texture on topsoil and loamy texture on subsoil. Symbol LC is interpreted as loamy texture on topsoil and clay texture on subsoil. Symbol h in FCC class is interpreted as low pH (acid), and symbol m as low organic C. Soil pH and organic C content are the two most important limiting parameters for soil fertility.
Analysis of degraded land suitability and regional comparative advantages for maize development in the Gorontalo sustainable agriculture areas, Indonesia Mochtar Lutfi Rayes; N Nurdin; Endang Listyarini; Christanti Agustina; Asda Rauf
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.4909

Abstract

Maize has attracted the attention of local governments due to its high yield potential and economic prospects, but the strategic value of this commodity has not been specific to particular locations. Therefore, this study aimed to assess degraded land suitability and determine the regional comparative advantages for maize development in the Gorontalo sustainable agriculture areas. The suitability class was assessed using Automatic Land Evaluation System software, while comparative advantages were determined using input-output and regional analysis. The input-output analysis was based on maize farming data from interviews with 80 farmers. This study also employed location quotient, specialization index, and localization index analyses based on maize, rice, and soybean production data for 2014, 2016, and 2018. The results showed that land degradation caused by soil erosion was dominated by moderate, heavy, and very heavy categories. Most of the actual land suitability for maize was classified as marginal suitable (S3) but became very suitable (S1) and moderately suitable (S2) after the limiting factors were improved. Furthermore, maize was profitable for the land suitability classes of S1, S2, and S3, and the commodity was most concentrated in Mootilango District. Based on the results, land management recommendations followed a pattern of recommendation I > II > III > not recommended.