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All Journal Jurnal Eduscience (JES) Journal of Information Systems and Technology Research
Phaklen Ehkan, Phaklen
University Malaysia Perlis
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Other

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EXPLORATION OF THE USE OF PHET SIMULATION ON NEWTON'S LAW MATERIALS TO IMPROVE STUDENT PHYSICS LEARNING OUTCOMES Siregar, Juliandi; Mawaddah, Hajar; Khairiah, Khairiah; Berliani, Halimah; Nasution, Lia Afriyanti; Putri, Nur Amelia; Derlina, Derlina; Pramudito, Rafaza; Ehkan, Phaklen
JURNAL EDUSCIENCE Vol 11, No 3 (2024): Jurnal Eduscience (JES), (Authors from Hungary, South Africa, Malaysia, and Ind
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jes.v11i3.6590

Abstract

AbstractThe background to this research is that physics lessons are often considered difficult and less interesting by students, especially because of their abstract nature, the complexity of mathematical calculations, and the difficulty in connecting theory with practice. One of the challenging topics is Newton's Law of motion, which includes the relationship between force, mass and acceleration. This research was carried out at MA Muallimin UNIVA Medan, by applying the Problem Based Learning (PBL) learning model, an innovative learning media that is relevant to development. technology. This research utilizes PHET (Physics Education Technology), an interactive simulation platform developed by the University of Colorado Boulder, to support learning Newton's Laws. PHET allows students to carry out virtual experiments independently with various variables, such as mass, force and surface type, so that student learning outcomes increase. The research method used is quantitative in class X-G. The instrument used is a written test (essay) with a total of 10 questions. It is known that the pretest and posttest data are normally distributed with a significance value of Pretest (0), Posttest (0,), and are declared homogeneous with a significance value Based on Mean (0.245) where the normality and homogeneity test values exceed (>) the real level used in the measurement namely α = 0.05 or 5%. With the help of SPSS, it is known that the average posttest student learning outcomes (85.93) are higher than the pretest (58.80), so it can be concluded that the hypothesis is accepted.  
Assessing Palm Plant Health through Color Analysis of Leaves Using MATLAB-Based Digital Image Processing Pane, Muhammad Akbar Syahbana; Saleh, Khairul; Satia Simbolon, Hasanal Fachri; Wilhelm Weber, Gerhard; Ehkan, Phaklen; Warip, Mohd Nazri
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 Berliani, Halimah Derlina . Juliandi Siregar Khairiah Khairiah Khairul Saleh Lia Afriyanti Nasution Mawaddah, Hajar Muhammad Akbar Syahbana Pane Pramudito, Rafaza Putri, Nur Amelia Satia Simbolon, Hasanal Fachri Warip, Mohd Nazri Wilhelm Weber, Gerhard