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Unisda Journal of Mathematics and Computer Science (UJMC)
Published by Universitas Islam Darul Ulum
ISSN : 24603333     EISSN : 2579907X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education Mathematics
Unisda Journal of Mathematics and Computational Science (UJMC) is a research journal published by Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan with the scope of pure mathematics, applied science, education, statistics
Arjuna Subject : -
Articles 152 Documents
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Penerapan Triple Exponential Smoothing Model Multiplicative dan Additive untuk Memprediksi Harga Saham BRIS.JK Noor Sofiyati
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.10603

Abstract

When investing in stocks, investors must consider not only potential returns but also the risk of loss. Like conventional stocks, sharia-compliant stocks fluctuate in value, requiring careful analysis to predict future prices. This study aims to forecast the price of sharia-compliant BRIS.JK stocks using both the multiplicative and additive triple exponential smoothing models. These methods were chosen because BRIS.JK stock data exhibits random fluctuations. The analysis uses 270 daily closing prices of BRIS.JK shares from the past five business days. The results indicate that both models predict a continuous rise in stock prices over the next 54 days (June to August 2025). The MAPE values for both models are below 10%, demonstrating excellent predictive accuracy. This insight can assist investors in deciding whether to increase their holdings of BRIS.JK shares or purchase them to maximize future profits.
Peramalan Kemiskinan di Kabupaten Banyumas Menggunakan Regresi Nonparametrik dengan Pendekatan Kernel Nadaraya Watson Adjusted Novita Eka Chandra; Melda Juliza; Muhammad Hafidh Nashrullah
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.10646

Abstract

Poverty is a serious challenge faced by the Banyumas Regency Government. Although the poverty rate in this region has shown a declining trend for more than a decade, the pattern of decline has not been linear. This study utilizes time series data representing the percentage of the poor population in Banyumas Regency from 2003 to 2024. This research primarily seeks to forecast the poverty rate in 2030 and to differentiate between the performance of two kernel functions, Gaussian and Epanechnikov, which are applied in nonparametric regression using the adjusted Nadaraya-Watson kernel approach. Analysis results suggest that the model performs best when the bandwidth is set at its optimal value of 0,538909 using the Epanechnikov kernel function. Based on the forecast, the poverty rate in 2030 is estimated to be 12,87%. This result indicates the need for well-planned strategies and policies by the Banyumas Regency Government to reduce the poverty rate over the next six years.

Page 16 of 16 | Total Record : 152

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