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Developing Seasonal Operation for Water Table Management in Tidal Lowland Reclamations Areas at South Sumatera, Indonesia Imanudin, Momon Sodik; Armanto, Mustika Edi; Susanto, Robiyanto Hendro
JOURNAL OF TROPICAL SOILS Vol. 16 No. 3: September 2011
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2011.v16i3.233-244

Abstract

The objective of the study was to develop the water management operational plan at tertiary blocks for the growth of rice and corn.  Study was conducted at reclaimed tidal lowland area which was located at Primer 10, Delta Saleh.  This area was classified as a C-typhology land (dry).  The methods of the study were survey, field measurements, computer simulation, and field action research.  Study stages were consisted of survey and monitoring, water status evaluation, water management scenarios design, model simulation, and model adaptation.  Computer model of DRAINMOD had been used to estimate the water table status and to design water table control operation at tertiary blocks.  Simulation results showed that the model worked properly which was indicated by root mean square error of 1.45 cm, model efficiency of 0.97, and correlation coefficient of 0.84.  Model adaptation for dry land condition (C-typhology) showed that the best scenario was land utilization pattern of rice-corn.  This paper presented monthly water management operational plan for rice crop in first cropping season (CS1) during November-February period and for corn crop in second cropping season (CS2) during May-August period.  Results of computer simulation and field study showed that the main objective of water management in this area was water retention in combination with land leaching.
Drainmod Model Adaptation for Developing Recommendations Water Management in the Tertiary Block of Tidal Lowland Agriculture Imanudin, Momon Sodik; Bakri, Bakri; Armanto, Mustika Edi; Rohim, Abdul Madjid
JOURNAL OF TROPICAL SOILS Vol. 26 No. 3: September 2021
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2021.v26i3.129-140

Abstract

The primary key to successful agricultural cultivation is maintaining the groundwater level to fulfill crop water requirements, particularly during the dry season. Field study was conducted in Tidal reclamation area of section 25 at Sugihan Kanan, Bandar Jaya Village, Air Sugihan, Ogan Komering Ilir District of South Sumatra.  The DRAINMOD computer model was used to simulate water levels in dry and wet climatic conditions. The principal measured parameters are soil hydraulic conductivity and drain spacing, as well as daily rainfall data. The simulation results showed that the research area belongs to the rainfed type, and the main objective of water management is to retain water and determine some efforts to increase the groundwater level through pump irrigation in the dry season. The application of pump irrigation was applied to the plant entering the generative phase. The pump irrigation was provided to distribute water into the quarter and worm (micro) channels. The effect of this application caused the groundwater level to approach about 30 cm below the soil surface, while groundwater level in areas without pump irrigation facility was in the range of 50-60 cm. Besides efforts to increase the water table, liming is still required in order to increase production. Lime application of 1 Mg ha-1 had a significant effect on increasing production. Corn production with this treatment could produce 5 Mg ha-1, while non-treated land areas only produce 2-3 Mg ha-1.
Water Table Control Model for Maize Cultivation of C Typology Land on Tidal Lowland Reclaimed Area of South Sumatra, Indonesia Imanudin, Momon Sodik; Madjid, Abdul; Bakri, Bakri; Armanto, Mustika Edi; Priatna, Satria Jaya; Warsito, Warsito; Mardiansa, Edwin
JOURNAL OF TROPICAL SOILS Vol. 30 No. 2: May 2025
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2025.v30i2.113-124

Abstract

Tidal lowland productivity in type C is still low. Most of them have only been able to cultivate rice twice a year. The third cultivation of corn often fails due to a lack of water. The research objective is to determine an operational model for water management in the field for maize cultivation at several planting times. Model area is conducted at a tertiary block of reclaimed tidal lowland, Telang Jaya Village Primer 8 Delta Telang I, of  Banyuasin District. There are three planting times treatments: the fourth week of April, the second week of June, and the first week of July, 2021. A water management model was applied to control the drainage system, in which the water level in the tertiary channel is maintained at a depth of 50 cm. When groundwater drops below 70 cm, and there is no rain, pump irrigation is provided. Results of the field experiment showed that the maize crop showed similar growth quality at each phase. Land with a planting period of June and July still requires water addition using pump irrigation. It was applied on 14th and 18th August. Moreover, the maize cultivated at the end of April did not require pump irrigation. All treatments have generally similar production with an average magnitude of 8.0 Mg ha-1. The highest production is 8.73 Mg ha-1, which is planted in the first week of July.
Variability of hydro-physical properties in drained peat soil: A case study of Perigi Village, Ogan Komering Ilir, South Sumatra, Indonesia Imanudin, Momon Sodik; Bakri, Bakri; Prayitno, Muh. Bambang; Sazili, A.; Choi, Eunho
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.9847

Abstract

Peatlands have a hydrological function, providing water, controlling floods and weather conditions, and regulating chemical and biological processes in the soil. Among the most important hydrological parameters indicating peatland damage are soil hydraulic conductivity (Ks), bulk density, and porosity. This study aimed to determine the diversity of soil hydraulic conductivity values in peatlands reclaimed for agriculture. Soil sampling was carried out in the peatlands of Perigi Village, included in the Sugihan-Saleh KHG (Peat Hydrological Area). The Ks measurement method in the laboratory uses the constant head method. The research results showed that the vertical permeability coefficient (kv) was 50.21-52.63 cm/h and the horizontal permeability coefficient (kh) was 113.2 cm/h. Spatial variations did not show significant differences, and the Ks value relative to the distance to the drainage channel shows the same inhibiting value of 50.21-52.63 cm/h. Soil porosity values ranged from 92.10 to 95.34%, and soil bulk weights ranged from 0.12 to 0.23 g/cm3. This condition shows that horizontal water movement is very fast and this causes a rapid decrease in the water level if the land is opened up by building channels. Therefore, assessing damage to peatland also determines the number of land drainage networks that have been built. To control the groundwater level so that it does not fall quickly and in accordance with the compliance figure of 40 cm, the construction of canal blocking is absolutely necessary in the drainage system in agricultural and plantation areas.
Estimating leaf area in velvetleaf (Limnocharis flava) and kangkong (Ipomea aquatica): a precise and non-destructive approach for wetland vegetables Riyanti, Anggrika; Lakitan, Benyamin; Imanudin, Momon Sodik; Yazid, Muhammad
Kultivasi Vol 25, No 1 (2026)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v25i1.69353

Abstract

Developing a leaf-area estimation model for vegetable cultivars in wetlands is essential to optimizing agricultural cultivation practices. This study aims to develop a non-destructive model for leaf area estimation in wetland vegetable cultivars (velvetleaf (Limnocharis flava) and kangkong (Ipomoea aquatica)) using regression-based models. The plants were cultivated in a wetland system. Measurements of leaf length and width were taken on all leaves of each plant, using the product of length and width (L×W) as predictor. The regression models for estimating leaf area were adjusted from linear, zero-intercept linear, quadratic, and power. The optimal model was evaluated using the determination coefficient (R2) and the Root Mean Square Error (RMSE). The results showed that the most reliable regression model for estimating velvetleaf leaf area was linear regression with the equation y = 0.881LW - 7.615 (R2 = 0.954; RSME = 7.916), and the power model for kangkong leaf area, with the equation y = 0.9407LW0.9309 (R2 = 0.970; RSME = 1.695). Differences in leaf shape among plant species result in different accuracies of leaf area estimation models. Thus, the model should be useful to guide future research and practical applications in monitoring leaf growth and determining harvest time.