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All Journal Jurnal Ilmu dan Inovasi Fisika Proceeding Seminar Nasional IPA
Yudha, Pradipta Kusuma
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Computer Science & IT Education Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology

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ANALISIS DAN SIMULASI PERUBAHAN WARNA DAUN BERDASARKAN FAKTOR CUACA DENGAN PYTHON Yudha, Pradipta Kusuma
Proceeding Seminar Nasional IPA 2025
Publisher : LPPM UNNES

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Abstract

Studi ini menyajikan analisis dan simulasi perubahan warna daun yang dipengaruhi oleh faktor cuaca dan perawatan tanaman menggunakan pemrograman Python. Tiga jenis tanaman Mangifera Indica (Mangga), Cordyline Fruticosa (Andong), dan Prunus Serrulata (Sakura). Dimodelkan untuk mencerminkan variasi warna daun dalam kondisi musim yang berbeda: Kering, Hujan, Musim Gugur, dan Dingin. Simulasi ini menggabungkan data sekunder termasuk curah hujan, penyinaran sinar matahari, temperatur suhu, kelembaban. Visualisasi dikembangkan menggunakan pustaka PyGame, menggabungkan animasi pertumbuhan pohon dari biji hingga dewasa dengan Nilai RGB cuaca dinamis untuk mewakili dedaunan yang sehat, stres, atau pikun. Selain itu, diagram batang RGB terpisah memvisualisasikan komposisi warna daun setiap tanaman di sepanjang musim. Model ini bertujuan untuk mendukung pendidikan lingkungan dan pemantauan tanaman dengan menunjukkan bagaimana faktor eksternal memengaruhi kesehatan tanaman melalui simulasi visual yang menarik
Forward Modeling and Seismic Wave Inversion for Amplification Analysis in The Java Subduction Zone Using Python Yudha, Pradipta Kusuma; Yulianto, Agus
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 10, No 2 (2026)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v10i2.70212

Abstract

This study aims to analyze seismic wave propagation and amplification in the Java subduction zone using a numerical modeling approach. The method integrates forward modeling and seismic inversion within a two-dimensional finite difference framework to simulate wave behavior in heterogeneous subsurface conditions. Secondary data, including seismic velocity, density, and earthquake parameters, are used to construct the subsurface model. The results show that seismic wave propagation is strongly influenced by variations in subsurface properties. High amplification occurs in regions characterized by low shear-wave velocity and thick sediment layers. Quantitatively, amplification exceeds 2.0 in areas with shear-wave velocity below 2000 m/s, while regions with higher velocity (>3000 m/s) exhibit lower amplification values. The application of multi-parameter inversion improves the resolution of subsurface structures and enhances model accuracy. The spatial distribution of amplification identifies zones that are more susceptible to strong ground motion, confirming the dominant role of subsurface heterogeneity in controlling seismic response. This study provides a quantitative and dynamic framework for understanding seismic wave behavior and offers a robust basis for seismic hazard assessment and earthquake risk mitigation in the Java subduction zone 
Co-Authors Agus Yulianto