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Analisis Tren dan Fluktuasi Harga Komoditas Kentang di Kabupaten Muara Enim Provinsi Sumatera Selatan
Jurnal Publikasi Ekonomi dan Akuntansi
Vol 3
, No 4
(2026)
The price of horticultural commodities such as potatoes is highly vulnerable to market fluctuations influenced by factors such as harvest season, distribution, and consumer demand. This study aims to analyze the trend and fluctuation of potato prices in Muara Enim Regency over the past five years, from 2019 to 2023. A descriptive quantitative approach was employed, utilizing secondary data consisting of monthly potato prices in Indonesian rupiah per 100 kilograms. The data were analyzed using av...
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Model Peramalan Harga Kol/Kubis Tingkat Konsumen di Kabupaten Ngawi, Kabupaten Pacitan, Provinsi Jawa Timur, dan Indonesia
Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak
Vol 2
, No 4
(2025)
This study aims to analyze and project consumer prices of cabbage commodities at four levels: Ngawi Regency, Pacitan Regency, East Java Province, and nationally, using the additive Holt–Winters forecasting model. Monthly price data for the period January 2020–December 2024 were used to capture the dynamics of levels, trends, and seasonal patterns that affect price fluctuations. Model performance was evaluated using the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) indicators. The r...
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Model Peramalan Harga Karet di Kabupaten Lahat Provinsi Sumatera Selatan tahun 2019-2023
Kajian Ekonomi dan Akuntansi Terapan
Vol 2
, No 4
(2025)
Rubber prices experience significant and prolonged fluctuations, which impact farmer incomes and management decisions. Understanding historical patterns and price predictions is considered crucial for production planning, marketing, and farmer protection policies. This study aims to identify the characteristics of rubber price time series in Lahat Regency and develop a reliable forecasting model to support short- to medium-term decision-making. This study uses secondary data on monthly average p...
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Peramalan Harga Daging Sapi di Kota Palembang dan di Tingkat Nasional Tahun 2019-2024 Menggunakan Metode Arima
Pajak dan Manajemen Keuangan
Vol 2
, No 6
(2025)
This study aims to forecast beef prices in Palembang City and at the national level in Indonesia using the Autoregressive Integrated Moving Average (ARIMA) method. The data used are the monthly average beef prices for the period January 2019 to December 2024. The analysis involves stationarity tests using Augmented Dickey-Fuller (ADF), model identification through Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots, parameter estimation with Maximum Likelihood Estima...
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