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Prediksi Harga Beras di Provinsi Nusa Tenggara Barat Dengan Metode Least Square Approximation Anjani, Aulia Fadma; Choirunnisa, Nabila; Haizar, Maulana Rifky; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
JSN : Jurnal Sains Natural Vol. 3 No. 1 (2025): Februari
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v3i1.690

Abstract

The Linear Least Square Approximation method is applied to predict rice prices in West Nusa Tenggara (NTB) Province. The price of rice plays a strategic role in the Indonesian economy as it is the basic need of most people, and its fluctuations have a significant impact on purchasing power and economic stability. Various factors influence changes in rice prices, such as production volume, climate conditions, and the possibility of price manipulation by certain parties. In this analysis, the Least Square Approximation method was chosen because it is able to capture trend patterns based on historical data from 2015-2022 obtained from the Central Statistics Agency (BPS), thus helping to project future prices. The prediction results show that rice prices in the period tend to be stable in the range of IDR 8,900 to IDR 9,800 per kilogram. The accuracy of the model was evaluated using Mean Absolute Percentage Error (MAPE), which resulted in an error of 2.59%, indicating that the method is effective and reliable enough to provide accurate rice price predictions.
Solusi Numerik pada Persamaan Korteweg-De Vries Equation menggunakan Metode Beda Hingga Haizar, Maulana Rifky; Rizki, Miptahul; Robbaniyyah, Nuzla Af'idatur; Syechah, Bulqis Nebulla; Salwa, Salwa; Awalushaumi, Lailia
Eigen Mathematics Journal Vol 7 No 1 (2024): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i1.190

Abstract

The Korteweg-de Vries (KdV) equation is a nonlinear partial differential equation that has a key role in wave physics and many other disciplines. In this article, we develop numerical solutions of the KdV equation using the finite difference method with the Crank-Nicolson scheme. We explain the basic theory behind the KdV equation and the finite difference method, and outline the implementation of the Crank-Nicolson scheme in this context. We also give an overview of the space and time discretization and initial conditions used in the simulation. The results of these simulations are presented through graphical visualizations, which allow us to understand how the KdV solution evolves over time. Through analysis of the results, we explore the behavior of the solutions and perform comparisons with exact solutions in certain cases. Our conclusion summarizes our findings and discusses the advantages and limitations of the method used. We also provide suggestions for future research in this area.