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PEMODELAN DEBIT SUNGAI MENGGUNAKAN SOIL AND WATER ASSESSMENT TOOL DI SUBDAS MAMASA Irlan, Irlan; A, Widyanti Utami; Rosmaeni, Rosmaeni; Samsu, Andi Khairil A.; Irundu, Daud; Mas'ud, Emban Ibnurusyd
Jurnal Eboni Vol 5 No 2 (2023): November
Publisher : Program Studi Kehutanan Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/eboni.v5i2.2106

ABSTRACT Issues related to watershed have received primary attention in the past few decades. The hydrological conditions of the watershed area are considered crucial as a source of life. In efforts to achieve sustainable watershed management, understanding the complex hydrological dynamics is very important. The objective of this research is to simulate river discharge using the Soil and Water Assessment Tools (SWAT) model. This study was conducted in the Mamasa Sub-watershed area. The results show that the river discharge in the Mamasa Sub-watershed has increased as it approaches the outlet (downstream) through the accumulation of discharge in larger order rivers. The Mamasa Sub-watershed also experiences a trend of increasing average annual discharge at a rate of 0.74 m3/s per year. Improvement in the discharge simulation results was achieved through a calibration process using 11 parameters. The calibration results indicate that the calibrated discharge has a higher R2 value compared to the initial simulation discharge, showing that the model calibration successfully improved the quality of the expected discharge results to reach 79.50 percent. However, the calibration results still have a low R2 value, influenced by the selection of appropriate parameters and accurate observational data. Keywords: Modeling, River discharge, SWAT, Watershed

Analisis Kesesuaian Lahan Tanaman Sengon, Cengkeh, Jagung, Bawang Merah untuk Pengembangan Pola Agroforestri di Desa Tammero’do Kabupaten Majene: Analysis of the Land Suitability Sengon, Clove, Corn, Shallot Crops for the Development of Agroforestry Patterns in Tammero'do Village, Majene Regency Rosmaeni, Rosmaeni; Palianto, Narson; Rusmidin, Rusmidin; Idris, Andi Irmayanti
Jurnal Ecosolum Vol. 13 No. 2 (2024): DESEMBER
Publisher : Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ecosolum.v13i2.42029

Land suitability evaluation for agroforestry development is needed for productive and sustainable land use planning. The selection of plants that are in accordance with the biophysical conditions of the land is very important to know before determining the type of plant to be planted. The purpose of this study was to analyze the suitability of land for the development of agroforestry patterns between forestry, plantation and horticultural plants. The forestry plants evaluated were Sengon, plantation plants were Cloves, and horticultural plants were Shallots and Corn. This study used field survey and laboratory analysis methods. The actual land suitability evaluated consisted of 17 biophysical characteristics at 5 observation points in the Community Plantation Forest Area. Land suitability classes are divided into 4 classes, namely S1 (very suitable), S2 (Quite suitable), S3 (Marginally suitable) and N (Not Suitable). The results of the study showed that the actual land suitability in the Community Plantation Forest Area of Tammero'do Village class S1 was Cloves at UL2, Sengon at UL2, UL3, UL4, UL5. Class S2 is Sengon in UL1, Clove and Corn, in all land units.

Will Indonesia's Forests Survive Development Pressure? Machine Learning Predictions for Energy-Critical Tropical Watersheds Utami A, Widyanti; Irlan, Irlan; Syahrir, Nur Hilal A; Rosmaeni, Rosmaeni
Jurnal Wasian Vol. 12 No. 01 (2025): June
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/hjs6a555

Land Use and Land Cover (LULC) changes play an important role in influencing the hydrological conditions of a watershed. The conversion of land such as forests, shrubs and grasslands into agricultural land can disrupt the hydrological balance of the watershed. The availability of information related to LULC dynamics in the future is needed to assist sustainable watershed management planning. Machine learning technology, such as Cellular Automata, can provide accurate predicting. The objective of this research is to simulate LULC based on machine learning in the Mamasa Sub-watershed. Two model combinations were employed to simulate LULC: Artificial Neural Network-Cellular Automata (ANN-CA) and Logistic Regression-Cellular Automata (LR-CA). The research results found that the ANN-CA model achieved percent of correctness and overall kappa of 83.6745 and 0.75412, respectively, which were higher than those of the LR-CA model (82.3498 and 0.73361). The prediction results of both model combinations still fall below the actual LULC values, especially in the case of large LULC classes such as forests, range-shrub, rice, and pasture. Conversely, higher accuracy is observed for smaller classes such as wetlands-forested, orchard, residential, and oak. However, it should be noted that this research did not include several socio-economic variables, such as population and income level, which are considered to influence changes in LULC. Future research is expected to analyse the influence of each variable and include some socio-economic variables that may have a significant influence on LULC change.

PEMODELAN DEBIT SUNGAI MENGGUNAKAN SOIL AND WATER ASSESSMENT TOOL DI SUBDAS MAMASA Irlan, Irlan; A, Widyanti Utami; Rosmaeni, Rosmaeni; Samsu, Andi Khairil A.; Irundu, Daud; Mas'ud, Emban Ibnurusyd
Jurnal Eboni Vol. 5 No. 2 (2023): November
Publisher : Program Studi Kehutanan Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/eboni.v5i2.2106

ABSTRACT Issues related to watershed have received primary attention in the past few decades. The hydrological conditions of the watershed area are considered crucial as a source of life. In efforts to achieve sustainable watershed management, understanding the complex hydrological dynamics is very important. The objective of this research is to simulate river discharge using the Soil and Water Assessment Tools (SWAT) model. This study was conducted in the Mamasa Sub-watershed area. The results show that the river discharge in the Mamasa Sub-watershed has increased as it approaches the outlet (downstream) through the accumulation of discharge in larger order rivers. The Mamasa Sub-watershed also experiences a trend of increasing average annual discharge at a rate of 0.74 m3/s per year. Improvement in the discharge simulation results was achieved through a calibration process using 11 parameters. The calibration results indicate that the calibrated discharge has a higher R2 value compared to the initial simulation discharge, showing that the model calibration successfully improved the quality of the expected discharge results to reach 79.50 percent. However, the calibration results still have a low R2 value, influenced by the selection of appropriate parameters and accurate observational data. Keywords: Modeling, River discharge, SWAT, Watershed

SOIL EROSION OVER DIFFERENT SLOPES UNDER PINE STANDS Rosmaeni, Rosmaeni; Malamassam, Daud; Zubair, Hazairin; Mursyid, Mursyid
Indonesian Journal of Forestry Research Vol. 9 No. 2 (2022): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2022.9.2.265-276

Forests have an important role in controlling soil erosion. Pine stands are considered effective in controlling erosion due to high interception and thick litter. This study compares the level of erosion on land with a slope > 40% to land with a slope <40%, as one of the references used in reviewing standards for determining the slope of a protected forest area. The study was conducted from November 2016 to February 2017, under Pinus merkusii stand in the Education Forest of Hasanuddin University in Maros Regency. Erosion was measured in a land of 22 m x 4 m having long slopes > 40% and < 40% with 3 replicates. Surface runoff was measured during rain and suspension levels was determined based on a dry oven heated at 105°C. Actual erosion (gr) is calculated by multiplying total runoff volume (m3/plot) by suspension level (gr/m3). The results show the average erosion on the slopes >40% was 54.94 g/plot or 0.006 tons/ha while on the slopes <40% was 36.74 g/plot or 0.004 tons/ha. The average difference of the two test results, with a 95% confidence interval, shows differences in the erosion average on the slopes> 40% and <40%. However, when there is an increase in the percentage of canopy cover the erosion becomes smaller even on the slopes > 40%. This research can be used as a reference for considering the increase in the upper limit of the slope of the protected forest area, and the need for further evaluation on the existing upper limit value.

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