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Strengthening Rice Farmers' Climate Resilience through Green Technology Plus and Infrastructure Optimization in North Sumatra, Indonesia

AGRIVITA, Journal of Agricultural Science · Vol. 48 No. 3 (2026) · hlm. 703–710

DOI
10.17503/agrivita.v48i3.5081
ISSN
2477-8516, 0126-0537
Terbit
2026-10-01
Penerbit
Faculty of Agriculture University of Brawijaya in collaboration with PERAGI
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

This research examined the use of Green Technology Plus (GTP) elements and how they influence the climate resilience of rice growers in North Sumatra, Indonesia. Between July and September 2024, a cross-sectional survey was carried out involving 200 rice farmers across Deli Serdang, Serdang Bedagai, and Asahan. Data were collected through structured questionnaires, field observations, and stakeholder interviews, and subsequently analyzed using descriptive statistics, multiple regression, and scenario-based yield assessment. Renewable energy use (45%) and water-efficient management (40%) demonstrated the highest adoption rates, while climate information services (15%) and crop diversification (20%) were implemented less frequently. Infrastructure optimization was the strongest predictor of farmer resilience (β = 0.42, p < 0.001). Subsequently, improvements included water-efficient management, the use of renewable energy, climate information services, organic fertilizers, and crop diversification. The adoption of precision agriculture tools resulted in a positive effect that was not statistically significant (β = 0.10, p = 0.329). Scenario analysis shows that optimizing infrastructure increased simulated rice yields by 14–19%, with the greatest improvements observed during drought conditions. Improving irrigation, drainage, localized climate services, and farmer training is essential to converting GTP adoption into measurable resilience gains.

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  • Politeknik Negeri Ujung Pandang
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Kusmuriyanto KusmuriyantoAfiliasi tidak diketahui2
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Malahayati MalahayatiPoliteknik Negeri Sriwijaya2
Anjar Purba AsmaraAfiliasi tidak diketahui2
Agustina WidiyaniAfiliasi tidak diketahui2
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Sumber metadata: OAI-PMH (metadata jurnal) https://agrivita.ub.ac.id/index.php/agrivita/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Strengthening Rice Farmers' Climate Resilience through Green Technology Plus and Infrastructure Optimization in North Sumatra, Indonesia</dc:title>
	<dc:creator>Nurhayati, Nurhayati</dc:creator>
	<dc:creator>Asmanizar, Asmanizar</dc:creator>
	<dc:creator>Rizwan, Muhammad</dc:creator>
	<dc:creator>Wibowo, Satrio Joko</dc:creator>
	<dc:creator>Basyaruddin, Basyaruddin</dc:creator>
	<dc:creator>Tarno, Hagus</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">climate adaptation; climate-smart agriculture; farmer resilience; green technology; rice</dc:subject>
	<dc:description xml:lang="en-US">This research examined the use of Green Technology Plus (GTP) elements and how they influence the climate resilience of rice growers in North Sumatra, Indonesia. Between July and September 2024, a cross-sectional survey was carried out involving 200 rice farmers across Deli Serdang, Serdang Bedagai, and Asahan. Data were collected through structured questionnaires, field observations, and stakeholder interviews, and subsequently analyzed using descriptive statistics, multiple regression, and scenario-based yield assessment. Renewable energy use (45%) and water-efficient management (40%) demonstrated the highest adoption rates, while climate information services (15%) and crop diversification (20%) were implemented less frequently. Infrastructure optimization was the strongest predictor of farmer resilience (β = 0.42, p &amp;lt; 0.001). Subsequently, improvements included water-efficient management, the use of renewable energy, climate information services, organic fertilizers, and crop diversification. The adoption of precision agriculture tools resulted in a positive effect that was not statistically significant (β = 0.10, p = 0.329). Scenario analysis shows that optimizing infrastructure increased simulated rice yields by 14–19%, with the greatest improvements observed during drought conditions. Improving irrigation, drainage, localized climate services, and farmer training is essential to converting GTP adoption into measurable resilience gains. </dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Agriculture University of Brawijaya in collaboration with PERAGI</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-10-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://agrivita.ub.ac.id/index.php/agrivita/article/view/5081</dc:identifier>
	<dc:identifier>10.17503/agrivita.v48i3.5081</dc:identifier>
	<dc:source xml:lang="en-US">AGRIVITA Journal of Agricultural Science; Vol 48, No 3 (2026): October 2026; 703-710</dc:source>
	<dc:source>2477-8516</dc:source>
	<dc:source>0126-0537</dc:source>
	<dc:source>10.17503/agrivita.v48i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/view/5081/2055</dc:relation>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/5081/3496</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 The Author (s)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>