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Zebua, Riki Arman
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Other

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Pengaruh Komposisi Mineral Tanah Terhadap Konduktivitas Listrik Dan Ketersediaan Nutrisi Zebua, Riki Arman; Zega, Ayu Nofita Sari
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 1 (2024): PENARIK - Agustus
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v2i3.98

Abstract

This research aims to analyze the effect of soil mineral composition on electrical conductivity and nutrient availability. Soil samples of various types (sandy, clay and clay) were analyzed to determine the mineral composition using the X-ray diffraction (XRD) method, as well as measurements of electrical conductivity and the availability of key nutrients such as potassium, calcium and magnesium. The research results show that soil with high clay mineral content, such as montmorillonite and kaolinite, has higher electrical conductivity and nutrient availability values ​​compared to sandy soil. Statistical analysis shows a positive relationship between clay mineral composition and electrical conductivity and nutrient availability. This discovery has practical implications in agricultural soil management, where electrical conductivity can be used as an indicator to predict nutrient availability quickly and efficiently.
Optimasi Sistem Irigasi Dengan Pendekatan Matematika Dan Pemodelan Hidrologi Zalukhu, Cipri Agus Iman; Mendrofa, Elsa Greta; Zebua, Riki Arman; Mendrofa, Bicard Ridoan
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 2 (2024): PENARIK - Desember
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v1i2.300

Abstract

Efficient management of irrigation systems is crucial to enhance agricultural yields, especially in areas with limited water resources. This study aims to optimize irrigation systems using mathematical approaches and hydrological modeling. In this research, hydrological models are used to predict water availability, while mathematical methods are applied to determine the optimal water allocation to meet crop needs at the right time and in the appropriate amount. The results of this study can help design more efficient irrigation systems, reduce water waste, and improve agricultural sustainability. The application of this model can provide concrete solutions to address challenges posed by climate change and the management of increasingly limited water resources.
Co-Authors Mendrofa, Bicard Ridoan Mendrofa, Elsa Greta Zalukhu, Cipri Agus Iman Zega, Ayu Nofita Sari