Comparison of Linear Regression and Polynomial Regression for Predicting Rice Prices in Lhokseumawe City
Rice is a strategic food commodity in Indonesia, and its price fluctuations significantly impact inflation, economic stability, and poverty levels. Accurate price prediction is, therefore, essential for effective policymaking. The objective of this research is to develop a system for predicting the...
Saved in:
| Main Authors: | Muhammad Iqbal, Rozzi Kesuma Dinata, Rizki Suwanda |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LPPM ISB Atma Luhur
2025-07-01
|
| Series: | Jurnal Sisfokom |
| Subjects: | |
| Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2396 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative Analysis of Regression Models for Stock Price Prediction: Linear, Support Vector, Polynomial, and Lasso
by: Ștefan Rusu, et al.
Published: (2024-11-01) -
Comparative Analysis of Linear Regression and Neural Network Algorithms for Stock Price Prediction
by: Eldrianto Christian Wibowo, et al.
Published: (2025-07-01) -
Enhancing Medium-Term Load Forecasting Accuracy in Post-Pandemic Tropical Regions: A Comparative Analysis of Polynomial Regression, Split Polynomial Regression, and LSTM Networks
by: Agus Setiawan
Published: (2025-07-01) -
Prediction of Maximum Precipitation in Turkey with Polynomial Regression
by: Fatih Dikbaş, et al.
Published: (2023-06-01) -
Explore poverty with statistical modeling: The bivariate polynomial binary logit regression (BPBLR)
by: Vita Ratnasari, et al.
Published: (2025-06-01)