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Comparative Analysis of Highland and Lowland Agricultural Commodities Based on Location Quotient (LQ) in South Sumatra Province.pdf: Analisis Komperatif Komoditi Pertanian Dataran Tinggi dan Rendah Berdasarkan Location Quotient (LQ) di Provinsi Sumatera Selatan Sari, Serly Novita; Ayu Sulastri, Merna; Sudarti, Sudarti; Maryadi, Maryadi; Wahyu Swasdiningrum, Trisna
Sriwijaya Journal of Agribusiness and Biometrics in Agriculture Research Vol. 4 No. 2 (2024): Volume 4 Nomor 2 (2024) : Juli 2024 - Desember 2024
Publisher : Departement of Socio-Economic Agricuture, Faculty of Agriculture

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Abstract

This study examines the comparative advantages of agricultural products from highland and lowland areas in South Sumatra Province using the Location Quotient (LQ) method. The research aims to identify specific commodities that dominate each region and evaluate their potential for regional economic development. Data were collected from agricultural production reports, regional economic statistics, and field surveys. The LQ analysis reveals the agricultural specialization in both highland and lowland regions. Highland areas primarily focus on plantation crops such as coffee and tea, while lowland areas excel in rice production and horticulture. The results indicate that highland commodities have a high LQ value, reflecting their contribution to the regional economy and export potential. Conversely, lowland commodities showcompetitive advantages in meeting local demand and supporting food security. This comparative analysis highlights the importance of tailoring agricultural policies to the unique characteristics of each region. Strategies such as infrastructure development, market access improvement, and sustainable farming practices can enhance productivity and competitiveness. The findings also emphasize the need for diversification and value-added processing to increase income and reduce economic vulnerability in both highland and lowland areas.
Characteristics And Factors Affecting Carbohydrate And Protein Based Food Consumption Patterns Ayu Sulastri, Merna; Sari, Yulia; Revina Putri , Rani; Lestari, Etika Fuji; Huanza, M
JURNAL AGRIBISAINS Vol. 11 No. 1 (2025): Jurnal AgribiSains
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jagi.v11i1.18447

Abstract

Food consumption patterns are fundamental to human well-being, directly influencing health, productivity, and quality of life. This research examines the characteristics, welfare, and factors affecting household consumption patterns in Palembang City. This study uses primary data from an online survey of 72 deliberately selected respondents in Palembang City during November and December 2024. The data was analyzed using descriptive analysis and linear regression methods. The results showed that the people of Palembang City consume carbohydrates and protein as their primary daily food sources. Protein consumption, such as chicken meat and eggs, has met welfare standards. The variables influencing household protein consumption are Household Income (X1), Age (X3), Education (X4), Family Size (X5), and Gender of the Respondent (X6). Meanwhile, the variables affecting household rice consumption (Y2) are Household Income (X1), Family Size (X5), and Gender (X6). The variation in household consumption of protein and rice is significantly influenced by household income. The results of this study can provide information to the government to improve the welfare of the people of Palembang City.