Journal of Science and Applicative Technology

Effect of Azimuthal Variability in Estimation of HVSR Parameters and Ground Shear Strain at Kota Baru, South Lampung, Indonesia

2025-04-19T11:28:24+00:00

Kota Baru, a potential capital of Lampung Province in South Lampung, Indonesia, faces significant earthquake risks due to the Great Sumatran Fault and the Sumatra Megathrust. Geologically, the area is part of the Plio-Pleistocene Lampung Formation, predominantly composed of rhyolite-dacite tuff and volcanoclastic tuff, which can amplify seismic shaking. This study investigates azimuthal variations in the Horizontal-to-Vertical Spectral Ratio (HVSR) across 15 locations in Kota Baru to identify their underlying causes. The results show notable changes in peak amplitude (Ao) and dominant frequency (fo) across different azimuths, with Mean Absolute Deviations (MAD) ranging from 0.96 to 5.71 for Ao and from 0.00 to 1.57 for fo. Maximum HVSR values were predominantly observed at azimuths below 30° across most regions. These variations are likely related to differences in soft layer thickness and/or the presence of a suspected fault near the study area, both of which could influence seismic wave propagation. A model of an 8.9-magnitude megathrust earthquake revealed no significant differences in Ground Shear Strain values, with results remaining within the same Modified Mercalli Intensity (MMI) scale. Therefore, despite azimuthal variability, the assumption of isotropic ambient noise in Kota Baru remains valid.

Statistical Pattern Recognition of Lithosphere Anomalous Activity Along the Indonesian Ring of Fire

2025-04-19T12:07:56+00:00

The introduction of statistical pattern recognition becomes highly important for assessing disaster threats such as earthquakes. This approach is significantly more comprehensive and suitable for long-term event forecasting. Therefore, in the future, efforts can be promptly made to reduce the risk of disasters resulting from anomalies in lithospheric activity, especially frequent earthquakes in the Sumatra Island region, Indonesia. Statistical pattern analysis of lithospheric activity anomalies can be categorized through classification. Earthquake classification is performed based on magnitude scale and mathematical calculations of earthquake parameter unit conversion. The classification method employed in this research includes machine learning methods like k-nearest neighbor and support vector machine. The evaluation metrics used for machine learning models are model accuracy and confusion matrix tables.

Quantitative Profiling of Total Flavonoid Content in Cassava Leaf (Manihot esculenta Crantz) Varieties and Isolation of Flavonoid Compounds from a High-Flavonoid Variety

2025-06-18T23:10:31+00:00

Cassava (Manihot esculenta Crantz) is widely utilized across Indonesia as both a staple food and a traditional medicinal resource, and its leaves are known to contain bioactive secondary metabolites such as flavonoids. This study aimed to quantify the total flavonoid content in several cassava leaf varieties and to isolate a flavonoid compound from the variety with the highest flavonoid content. Total flavonoid content was determined using UV-Visible spectrophotometry. The isolation of flavonoid compounds was carried out using vacuum liquid chromatography (VLC) and column chromatography (CC), with thin-layer chromatography (TLC) employed to monitor the separation results. The total flavonoid content of the Gajah, UJ-3 (Thailand), UJ-5 (Katsesart), Cimanggu dan Kaspro varieties were found to be 1.029 ± 0.003 mgQE/g, 0.746 ± 0.006 mgQE/g, 0.970 ± 0.009 mgQE/g, 0.936 ± 0.004 mgQE/g and 1.220 ± 0.003 mgQE/g, respectively. The Kaspro variety exhibited the highest flavonoid content. Isolation and characterization of the flavonoid from Kaspro leaves yielded a yellowish powder with absorption maxima at 269 nm (Band II) and 334 nm (Band I). Further analysis using shift reagents identified the isolated compound as apigenin, a member of the flavone group.