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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; Tajidan; Yorman
ARMADA : Jurnal Penelitian Multidisiplin Vol. 3 No. 12 (2025): ARMADA : Jurnal Penelitian Multidisplin, December 2025
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v3i12.1941

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
Water Use Efficiency and Physiological Adaptation of Maize (Zea Mays L.) Under Drought Stress in Dryland Ecosystems Raodatul Putri; M. Taufik Fauzi; A.A. Ketut Sudharmawan
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 7 (2026): ARMADA : Jurnal Penelitian Multidisplin, July 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i7.3069

Abstract

Drought control on dry land is one of the main factors that reduce the productivity of corn plants (Zea mays L.) due to disruption of physiological processes and plant metabolism. This study aims to analyze the relationship between water use efficiency (WUE) and the physiological adaptation of corn plants to water deficit conditions through a literature review approach. The study was conducted using various national and international scientific articles published in the 2022–2025 period. The results of the study showed that drought stress caused a decrease in the rate of photosynthesis, leaf water content, and plant biomass formation due to stomata closure and increased accumulation of reactive oxygen species (ROS). Drought-tolerant corn plants have the ability to maintain water use efficiency through stomata regulation, proline accumulation, increased antioxidant activity, and the development of a more adaptive root system. In addition, the application of precision irrigation technology and adaptive agronomic management can improve water use efficiency and support crop productivity on dry land. Thus, the integration of physiological adaptation and adaptive cultivation strategies is an important approach in supporting the sustainability of maize production under climate change conditions.