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Analysing the Potential of Agricultural Technology Integration in Crop Monitoring Systems to Improve the Efficiency of Soybean Cultivation Ida Marina; Ade Bastian; Kovertina Rakhmi Indriana; Dety Sukmawati; Ai Komariah; Imas Naimah Hasnah; Mukhlis
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.13361

Abstract

This study aims to integrate modern agricultural technology into soybean cultivation through the application of an Internet of Things (IoT)-based crop monitoring system combined with artificial intelligence (AI) and cloud-based data processing. The research was conducted at two experimental sites to evaluate system performance under different environmental conditions. IoT sensors and AI algorithms were utilized to monitor soil moisture, temperature, and plant health, optimize irrigation, detect pests, predict yield, and analyze plant health. Data collected included irrigation efficiency, pest control effectiveness, and plant health, which were analyzed using statistical methods. The results showed that the implementation of IoT-based monitoring technology significantly improved the technical efficiency of soybean farming by optimizing the use of land, fertilizer, and labor. Farms using monitoring technology achieved an average technical efficiency score of 0.991, higher than farms without technology, which only reached 0.920. In addition, the technology reduced water and fertilizer wastage, increased productivity, and supported data-driven agricultural decision-making. In conclusion, the application of IoT- and AI-based crop monitoring systems enhances the sustainability and productivity of soybean farming and provides an effective approach to improving agricultural efficiency in modern farming systems.
Comparative Analysis of Integrated Crop Management (ICM) Implementation on Hybrid Maize Production and Farmers’ Income (Zea mays L.) Dinar Dinar; Ida Marina; Milla Syamsiah; Sri Umyati; Dety Sukmawati
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.14306

Abstract

Hybrid maize (Zea mays L.) is one of the strategic commodities in Indonesia that plays an important role in supporting national food security and farmers’ income. One of the technologies introduced to improve maize productivity is Integrated Crop Management (ICM), which integrates several agronomic practices such as the use of improved varieties, optimal plant population, balanced fertilization, and integrated pest management. However, the level of ICM adoption among farmers is still varied, which may affect production performance and farm income. This study aimed to evaluate the implementation of Integrated Crop Management (ICM) technology and to compare the production and income of hybrid maize farmers who implement ICM technology and those who do not. The research used a quantitative survey approach involving hybrid maize farmers as respondents. Data was collected through field observations, interviews, and farm records. The results showed that the implementation of ICM technology significantly improved hybrid maize production and farmers’ income. Farmers implementing ICM technology achieved an average income of IDR 6,247,824 per hectare per planting season, while farmers applying non-ICM practices earned IDR 2,475,494 per hectare per planting season. The higher income was mainly driven by better crop management practices, including optimal plant population, balanced fertilization, and integrated pest management. These findings indicate that Integrated Crop Management technology contributes to improving production efficiency and farm profitability. Therefore, strengthening the dissemination and adoption of ICM technology is important to enhance the sustainability of hybrid maize farming systems