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All Journal ARMADA : Jurnal Penelitian Multidisiplin
Raodatul Putri
University of Mataram, Mataram, Indonesia
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System IoT-AI Based on Microclimate Disease Risk Index for Early Detection of Vanilla Plant Diseases Muh. Hayatullah; Raodatul Putri; Nur Safitri; Misbahuddin; Muhammad Husni Idris
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 3 (2026): ARMADA : Jurnal Penelitian Multidisplin, March 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i3.1940

Abstract

The vanilla plant (Vanilla planifolia) is a high-value commodity, but it is highly susceptible to microclimatic fluctuations and disease attacks, especially stem and root rot closely related to Fusarium oxysporum f. sp. vanillae. A review of the literature also shows that temperature, humidity, and shade conditions affect vanilla growth, whereas conventional monitoring approaches often detect disease risk too late. This paper presents a systematic literature study with the help of Google Scholar-based Publish or Perish (PoP), enriched by targeted searches on ScienceDirect and Web of Science, and reported to follow the principles of PRISMA 2020. The synthesis results show that the integration of IoT, microclimate sensors, and AI has the potential to form a more precise Early Warning System through the MDRI index, which is a weighted risk score that collects parameters of temperature, relative humidity, VPD, light intensity, soil moisture, and history of daily conditions. Conceptually, MDRI can be applied to edge devices to provide early warnings, recommendations for cultivation actions, and the basis for data-driven decision-making. This paper emphasizes that the IoT–AI approach is not just a monitoring tool, but the foundation of an adaptive and sustainable vanilla disease risk management system.
Corn Productivity through a Climate Change Mitigation Approach Based on Sustainable Agriculture Policy Based on Pancasila Values Raodatul Putri; Sukartono; Yorman
ARMADA : Jurnal Penelitian Multidisiplin Vol. 3 No. 12 (2025): ARMADA : Jurnal Penelitian Multidisplin, December 2025
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

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Abstract

This study aims to analyze the strategy of increasing corn productivity through a climate change mitigation approach based on sustainable agricultural policies based on the values of Pancasila in Dompu Regency. The method used is a mixed approach with quantitative analysis through multiple linear regression and qualitative analysis to explore policy implementation, farmer behavior, and internalization of Pancasila values in agricultural practices. Data was collected through questionnaires, in-depth interviews, field observations, and secondary data from related agencies. The results of the study show that climate change mitigation, sustainable agricultural policies, Pancasila values, and farmer capacity have a positive and significant effect on corn productivity. The use of drought-resistant varieties and input subsidy support are the dominant factors in increasing production yields, while technology adoption and training participation are still relatively low. In addition, Pancasila values such as mutual cooperation, social justice, and environmental ethics have been proven to strengthen farmers' social capital which has an impact on increasing the efficiency and sustainability of farming businesses. This research produces an integrative strategy model that combines technical, policy, social, and ideological aspects as a holistic approach in sustainable agricultural development. The implications of this study emphasize the importance of synergy between the government, farmers, and stakeholders in creating a productive, adaptive, and equitable agricultural system
Co-Authors Misbahuddin, Misbahuddin Muh. Hayatullah Muhammad Husni Idris Nur Safitri Sukartono Yorman