Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Unisda Journal of Mathematics and Computer Science (UJMC)
Noor Sofiyati
Universitas Jenderal Soedirman
Computer Science & IT Education Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
Penerapan Model Logistik Fraksional dalam Memproyeksikan Jumlah Penduduk di Kabupaten Indramayu Tahun 2025-2030 Lu’lu Nurzahra; Isnu Aji Saputro Isnu; Noor Sofiyati
UJMC (Unisda Journal of Mathematics and Computer Science) Vol. 12 No. 1 (2026): 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

Abstract

The continuous growth in population necessitates accurate projections as a foundation for regional development planning. This study aims to apply a fractional logistic model employing the conformable fractional derivative to project the population of Indramayu Regency for the period 2025–2030. The research was conducted using population data from Indramayu Regency spanning the 2020–2024 period, with two fractional orders, namely α = 0,8 and α = 0,2, each comprising four model variations. The accuracy of the models was evaluated using the Mean Absolute Percentage Error (MAPE). The findings indicate that Model III with a fractional order of α = 0.8 yields the highest accuracy, with a MAPE value of 0.121669%. Based on this model, the population of Indramayu Regency is projected to increase from 1,943,094 inhabitants in 2025 to 1,991,027 inhabitants in 2030. The results demonstrate that the conformable fractional logistic model is capable of providing population projections with excellent accuracy, thereby offering a potential alternative for population-data-based development planning.
Co-Authors Isnu Aji Saputro Isnu Lu’lu Nurzahra