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All Journal Journal of Information Systems and Technology Research
Khairul Saleh
Sekolah Tinggi Teknologi Immanuel
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Measuring Soil Moisture in Real-Time: Arduino Uno Based Tool Innovation Muhammad Akbar Syahbana Pane; Khairul Saleh
Journal of Information Systems and Technology Research Vol. 4 No. 1 (2025): January 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i01.1035

Abstract

Humidity measurement is vital across various sectors, such as agriculture, meteorology, industry, and households, where accurate monitoring ensures product quality, environmental stability, and process efficiency. Over time, humidity measurement technologies have evolved significantly, transitioning from basic evaporation-based methods to advanced electronic sensors like capacitive and resistive sensors, which offer real-time accuracy. Hygrometers and moisture meters are key devices in this field, with hygrometers measuring air humidity and moisture meters assessing water content in materials like soil, wood, and grains. Their integration with automation systems further enhances operational efficiency and simplifies environmental monitoring. Despite these advancements, challenges persist, including the need for higher accuracy, adaptability to diverse environments, and cost reduction. Research and development continue to tackle these issues, driving innovation toward more reliable, user-friendly, and affordable solutions. This article reviews the latest advancements in humidity measurement technologies, highlights the challenges faced, and explores future innovations that promise to enhance the accuracy and efficiency of these devices. Such progress is crucial for sustainability and improved performance in fields dependent on precise humidity data, ultimately supporting better decision-making and resource management.
Assessing Palm Plant Health through Color Analysis of Leaves Using MATLAB-Based Digital Image Processing Muhammad Akbar Syahbana Pane; Khairul Saleh; Hasanal Fachri Satia Simbolon; Gerhard Wilhelm Weber; Phaklen Ehkan; Mohd Nazri Warip
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1133

Abstract

The health of oil palm plants can be visually assessed through changes in leaf color, which reflect the plant's physiological condition. Leaf color serves as a critical, non-destructive indicator for evaluating plant health. This study aims to develop an innovative method for detecting oil palm leaf health using MATLAB-based digital image processing techniques. The process begins with leaf image acquisition, followed by pre-processing to enhance image quality, and then color space conversion from RGB to HSV. The analysis focuses on the Hue and Saturation components, which represent the leaf's color tone and intensity. Two sample images—healthy and unhealthy leaves—are compared. The results demonstrate that healthy leaves exhibit higher average Hue and Saturation values compared to unhealthy ones, providing a key parameter for automated leaf condition classification. This study introduces a cost-effective system adaptable for small-scale farmers' plantations, offering an effective, efficient, and economical solution. This approach shows significant potential for implementation in automated plant health monitoring systems and further development for precision agriculture, particularly in oil palm plantations, to enhance productivity and sustainability in modern agriculture.
Co-Authors Gerhard Wilhelm Weber Hasanal Fachri Satia Simbolon Mohd Nazri Warip Muhammad Akbar Syahbana Pane Phaklen Ehkan