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Your search keyword '"Andi Fadllan"' showing total 2 results
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2 results on '"Andi Fadllan"'

1. Soil Classification Using Horizontal to Vertical Spectrum Ratio Methods on Scilab in Sendangmulyo, Semarang

Author

Prima Vitra Varecha, Andi Fadllan, and Hartono Hartono

Subjects
earth science, Physics, QC1-999
Abstract

Microtremor is ambient vibration on the surface ground by natural phenomena, human activities, etc. Microtremor data can be processed using various software such as Geopsy, easyHVSR, and MATLAB. Another alternative software to process microtremor data is Scilab. This research was conducted to classify the soil using HVSR methods on Scilab 6.1.0. in Sendangmulyo, Semarang. Data processing includes generating synthetic signals, coding the HVSR methods on Scilab, synthetic data testing, processing microtremor data, and mapping of natural frequency () and predominant period (). Coding tests are performed against synthetic signals and can display a pre-set . from the HVSR spectrum then processed to get the . The in Sendangmulyo, Semarang ranged from 1.280 Hz – 18.504 Hz, and the ranged from 0.054 s – 0,781 s. Based on the and , Sendangmulyo is composed of hard soil, medium soil, soft soil, and very soft soil.

Published
2022
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2. The Development of Introductory Physics Teaching Materials in a Biological Context Based on Scientific Creativity

Author

Andi Fadllan, Susilo, Hartono, and Sigit Saptono

Abstract

Introductory Physics learning for biology students of UIN Walisongo has not used teaching materials that accommodate students' needs in a biological context, so the students are skeptical of the relevance of this course to biology. In addition, the teaching materials have not accommodated to develop students’ scientific creativity. This study is aimed at developing a model of Introductory Physics teaching materials in a biological context based on scientific creativity and finding out the students' response to the use of it. The data was obtained from assessment experts and students using questionnaires. The results showed that the characteristics of IP teaching materials can be seen from two things, namely the application of physics in biology and scientific creativity activities. The quality of IP teaching materials is good. The feasibility score of IP teaching materials is 3.71 or Very Eligible. While student responses to the use of IP teaching materials are good, with an average score of 3.16.

Published
2022
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