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Edi Warsito
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Agriculture, Biological Sciences & Forestry

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Journal : Jurnal Pertanian Agros

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ANALISIS PERAMALAN AGRIBISNIS PANGAN DI KABUPATEN SIMALUNGUN PROVINSI SUMATERA UTARA Rahmanta, Rahmanta; Siti Khadijah Hidayati Nasution; Edi Warsito
Jurnal Pertanian Agros Vol 27 No 2 (2025): EDISI APRIL
Publisher : Fakultas Pertanian Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v27i2.78

Abstract

North Sumatra Province is one of the food crop production centers in Indonesia, including Simalungun Regency. Fluctuations in food crop production from year to year experience ups and downs making food production forecasting quite important. This research aims to analyze food production forecasting, namely rice, corn, and cassava in 2023-2033 using the Eviews 13 software application. The research method used is the ARIMA method, then the best ARIMA method is used for forecasting food production in Simalungun Regency in the future. The data used in this research is secondary data from 1996 to 2022 obtained from the Central Bureau of Statistics and the Food Crops and Horticulture Office. The results showed that Simalungun Regency in 2023-2033 experienced an increase in rice and cassava production, while corn experienced a decrease.
DETERMINAN PENAWARAN CABAI MERAH DI SUMATERA UTARA Rahmanta; Elisabet Siahaan; Lindawati; Abid Raif Rahmatullah; Edi Warsito
Jurnal Pertanian Agros Vol 28 No 1 (2026): EDISI JANUARI
Publisher : Fakultas Pertanian Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v28i1.171

Abstract

The increasing demand for red chili peppers has led to a significant increase in their market circulation. The fluctuating price of red chili peppers encourages farmers to produce larger or smaller quantities of this commodity in the following season. The yield of the harvest will affect the amount of production offered, while supply will affect the price. This study was conducted to analyze the factors that influence the supply of red chili peppers. The method used in this study was quantitative research, and the data used in this study was time series data from 2020 to 2024 on a monthly basis, resulting in 60 observations. The model used was multiple linear double log regression analysis. The results of the study show that partially and simultaneously, the price of red chili peppers, the price of urea fertilizer, the price of ZA fertilizer, the price of TSP fertilizer, the area of harvested land, and labor wages significantly affect the supply of red chili peppers.
Co-Authors Abid Raif Rahmatullah Elisabet Siahaan LINDAWATI Rahmanta Rahmanta Rahmanta, Rahmanta Siti Khadijah Hidayati Nasution