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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Unram Journal of Community Service (UJCS)
Kovertina Rakhmi Indriana
Winaya Mukti University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Social Sciences

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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.
Empowering Cilembu Sweet Potato Farmers Through Education and Utilization of Local Plant-Based Biopesticides: an Environmentally Friendly Solution to Reduce Dependence on Chemical Pesticides Elly Roosma Ria; Kovertina Rakhmi Indriana; Ai Komariah; Rike Siti Latipah; Fahmi Shihabuddin
Unram Journal of Community Service Vol. 6 No. 4 (2025): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1316

Abstract

Cilembu sweet potato farmers' dependence on synthetic chemical pesticides raises concerns about their impact on health, the environment, and agricultural sustainability. This Community Service Program (PKM) aims to empower farmers through education and training in the production of biopesticides from locally sourced plants. Implementation methods include outreach, demonstrations of biopesticide production from materials such as neem and soursop leaves, and hands-on field training. The results of the activities indicate an increase in farmers' understanding and skills in utilizing biopesticides as an environmentally friendly pest control alternative. The program concludes that education and utilization of locally sourced plant-based biopesticides have proven effective as a practical solution to reduce dependence on chemical pesticides while simultaneously supporting sustainable agriculture for Cilembu sweet potato farmers.
Co-Authors Ade Bastian Ai Komariah Ai Komariah Dety Sukmawati Elly Roosma Ria Fahmi Shihabuddin Ida Marina Imas Naimah Hasnah Mukhlis Rike Siti Latipah