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The Effectiveness of Moringa Oleifera Seed Powder and Mixing Time (Fast-Low Speed) Using Jartest in Reducing Nitrate Levels in River Water Jayadipraja, Erwin Azizi; Iqbah, Indra Purnama; Ardiansyah, Ririn Teguh; Bahtiar, La Ode; Hidayat, Muh Taufik; Asrullah, Muhammad; Alamsyah, Ryan; Rauf, Rahman
Public Health of Indonesia Vol. 10 No. 3 (2024): July - September
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v10i3.826

Abstract

Background:Moringa oleiferais a fast-growing, long-lived plant that blooms throughout the year and can withstand extreme arid conditions. Objective:This study aims to examine the effectiveness of Moringa oleiferaseed powder in reducing nitrate levels in river water. Method:The research method employed in this study involved analysis using the Paired Sample Statistical Test. Result:The statistical test results revealed a significance value of 0.017 (p < 0.05) and a mixing time variation significance of 0.011 (p < 0.05). These values indicate that the null hypothesis (H0: there is no relationship between the independent and dependent variables) is rejected, while the alternative hypothesis (Ha: there is a relationship between the independent and dependent variables) is accepted. This implies a significant difference in the reduction of nitrate levels between the pretest and posttest data, demonstrating that the use of Moringaseed powder is effective in reducing nitrate levels. Conclusion:This study concludes that the administration of Moringaseed powder at a dose of 400 mg/L, with a mixing time of 2 minutes at a fast speed (80 rpm) and 20 minutes at a low speed (40 rpm), is most effective in significantly reducing nitrate levels in river water. Keywords:Moringa oleifera; nitrate levels; river water; Indonesia
PEMODELAN POTENSI BENCANA BANJIR BERDASARKAN PERUBAHAN PENGGUNAAN LAHAN DI DAS WANGGU Alamsyah, Ryan
Jurnal Geografi Vol 21 No 2 (2025): JURNAL GEOGRAFI
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jgeo.v21i2.23233

Abstract

High rainfall and changes in land use to built-up areas in the Wanggu watershed have reduced the soil's ability to absorb water and increased surface runoff, potentially causing flooding. This study aims to identify land use changes in 2014 and 2022, predict conditions in 2030, and analyze flood potential in these three periods using overlay methods and the Land Change Modeler. The results show that forest land experienced the largest decrease in 2014–2022, amounting to 2,048.30 ha, and is predicted to decrease again by 1,591.85 ha by 2030. Conversely, the smallest changes occurred in water bodies and plantations. Flood potential in 2014 was dominated by the no potential category, while in 2022 it shifted to the low category. Predictions for 2030 show the greatest flood potential in the moderate category, while the very high category has the smallest area coverage. These findings confirm that land use dynamics have a significant influence on increasing flood risk.