Agus Wandra
Universitas Teuku Umar

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Analysis Of Rice Distribution On Price Stability In Perum Bulog, West Aceh Regency Agus Wandra; Alisman Alisman; Pola Tengah Pelawi
Return : Study of Management, Economic and Bussines Vol. 2 No. 2 (2023): Return : Study of Management, Economic And Bussines
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v2i2.72

Abstract

Distribution is one of the most important marketing activities carried out in marketing, namely developing and expanding the flow of goods or services from producers to consumers in accordance with a predetermined amount and time. The choice of distribution method is a very important point, because an error in choosing a distribution method can slow down the delivery of goods and services to consumers or users. Distribution of rice is one aspect of the marketing mix that also determines the success or failure of the objectives to be achieved by Perum Bulog, West Aceh Regency in distributing rice to meet community needs. The problem discussed in this study is how the influence of rice distribution on price stability at Bulog Public Corporation in West Aceh Regency. While the aim of this research to be achieved is to determine the effect of rice distribution on price stability at Perum Bulog, West Aceh Regency. The analytical method used in this study is simple linear regression analysis, simple linear regression equation implies that in a regression equation there is one dependent variable and one independent variable. The simple linear regression method aims to prove the hypothesis on the effect of joint distribution variables on price stability at Perum Bulog, West Aceh Regency, both individually and collectively. Based on the results of the study, it shows that the effect of the distribution of rice (X) on the stability of rice prices (Y) is very significant. This is evidenced by the value of Rice Price Stability (Y) at the West Aceh District Bureau of Logistics Agency, a coefficient of determination of 0.875 (R) where this shows 87.50% is in the category of very high influence and the remaining 12.50% is influenced by other variables which is not researched.
Dinamika Luas Panen dan Produksi Padi di Kawasan Barsela Aceh: Bukti Empiris Data Panel 2018-2025 Agus Wandra; Yasrizal Yasrizal; Hartini Hartini; Helmi Noviar; Rolis Juliansyah
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/a922tq28

Abstract

This study examines the effect of harvested area on rice production in the Barsela region of Aceh Province during 2018-2025. It highlights the importance of harvested area as a key agricultural production factor in explaining regional rice output across districts and cities. This study employs a quantitative approach using balanced panel data from eight districts and cities in the Barsela region, namely Aceh Jaya, Aceh Barat, Nagan Raya, Aceh Barat Daya, Aceh Selatan, Simeulue, Aceh Singkil, and Kota Subulussalam. The dataset covers the 2018-2025 period, resulting in 64 observations. Panel data regression is applied by comparing the Common Effect Model, Fixed Effect Model, and Random Effect Model. Model selection is conducted using the Chow test, Hausman test, and Lagrange Multiplier test. The Random Effect Model is selected as the preferred specification. The findings show that harvested area has a positive and statistically significant effect on rice production. The coefficient of harvested area is 5.204529 with a probability value of 0.0000, indicating that a one-hectare increase in harvested area is associated with an increase of approximately 5.20 tons of rice production. The Adjusted R-squared value of 0.772121 shows that harvested area explains 77.21 percent of the variation in rice production. This study provides district-level evidence on rice production in Barsela Aceh. The findings emphasize the importance of protecting productive paddy fields, controlling land conversion, improving irrigation, and strengthening agricultural infrastructure to sustain regional food security.