OPTIMIZATION OF SUSTAINABLE AGRICULTURE THROUGH INTEGRATION OF MATHEMATICS, AGROTECHNOLOGY AND ECONOMIC LITERACY FOR EMPOWERING THE LABUHANBATU COMMUNITY

The "Makmur Sejahtera" Farmers Group in Labuhanbatu faces low productivity due to the limited adoption of agrotechnology, mathematical literacy, and economic understanding in managing their farms. This topic is important because the integration of technology, applied mathematics, and economic empowerment can increase farmer efficiency and income, supporting sustainable food security. The objective of this community service is to empower 45 partner farmers through training in the application of agrotechnology (drip irrigation and soil sensors), simple mathematical modeling (for yield prediction and cost calculation), and economic literacy and agricultural product marketing. The methods used include needs identification, workshops, field practice, and pre-test-post-test evaluations. The results show a 78% increase in hard skills in agrotechnology management and a 65% increase in soft skills such as cooperation and self-confidence. On average, farmers' income increased by 20% thanks to production efficiency and business diversification. In conclusion, this community service effectively strengthens farmers' technical and economic capacity, creating a replicable model of sustainable agriculture to support the welfare of rural communities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-20
DOI
https://doi.org/10.5281/zenodo.16222591
Primary Topic
Agricultural Development and Management
Type
article
Field-Weighted Citation Impact
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article

OPTIMIZATION OF SUSTAINABLE AGRICULTURE THROUGH INTEGRATION OF MATHEMATICS, AGROTECHNOLOGY AND ECONOMIC LITERACY FOR EMPOWERING THE LABUHANBATU COMMUNITY

Zenodo (CERN European Organization for Nuclear Research)
Agricultural Development and Management
article

OPTIMIZATION OF SUSTAINABLE AGRICULTURE THROUGH INTEGRATION OF MATHEMATICS, AGROTECHNOLOGY AND ECONOMIC LITERACY FOR EMPOWERING THE LABUHANBATU COMMUNITY

article en

Abstract

The "Makmur Sejahtera" Farmers Group in Labuhanbatu faces low productivity due to the limited adoption of agrotechnology, mathematical literacy, and economic understanding in managing their farms. This topic is important because the integration of technology, applied mathematics, and economic empowerment can increase farmer efficiency and income, supporting sustainable food security. The objective of this community service is to empower 45 partner farmers through training in the application of agrotechnology (drip irrigation and soil sensors), simple mathematical modeling (for yield prediction and cost calculation), and economic literacy and agricultural product marketing. The methods used include needs identification, workshops, field practice, and pre-test-post-test evaluations. The results show a 78% increase in hard skills in agrotechnology management and a 65% increase in soft skills such as cooperation and self-confidence. On average, farmers' income increased by 20% thanks to production efficiency and business diversification. In conclusion, this community service effectively strengthens farmers' technical and economic capacity, creating a replicable model of sustainable agriculture to support the welfare of rural communities.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger, Quality Education
Openalex Percentile: Top 37%
Agricultural Development and Management
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OPTIMIZATION OF SUSTAINABLE AGRICULTURE THROUGH INTEGRATION OF MATHEMATICS, AGROTECHNOLOGY AND ECONOMIC LITERACY FOR EMPOWERING THE LABUHANBATU COMMUNITY · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS