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All Journal International Journal Science and Technology (IJST) EDUCATIONE: Journal of Education Research and Review
Leonardo Frando Pasla
Politeknik Negeri Manado
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Social Sciences

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Computer Vision-Based Automated Waste Sorting System for Plastic and Organic Waste Classification Using Color and Shape Features Rick Resa Wahani; Michael Edward G. Kimbal; Deko Trio Desembara; Leonardo Frando Pasla; Firmansyah Reskal Motulo
International Journal Science and Technology Vol. 4 No. 3 (2025): November: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v4i3.2384

Abstract

The increasing volume of municipal solid waste demands low-cost, real-time sorting solutions to improve recycling efficiency and reduce landfill burden. Objective: This study develops and evaluates a low-cost, real-time computer vision system to classify plastic waste and organic leaf waste for automated sorting. Methodology: The system uses a standard RGB camera (640×480, 30 fps) and OpenCV-based processing, including Gaussian blurring, HSV color-space conversion, morphological operations, contour detection, and geometric feature extraction (circularity, solidity, aspect ratio, and extent). Classification is performed using a hierarchical rule-based logic that combines HSV color masks with a proposed overlap ratio to quantify the spatial correspondence between object contours and leaf-color regions. Findings: Experimental testing under controlled illumination (500–1000 lux) achieved 89% overall accuracy with an average processing time of 45 ms/frame and an operational throughput of approximately 7 objects/min. The system correctly classified 8 plastic items and 7 leaf samples in the initial test set. Implications: The proposed approach supports practical deployment in small-scale or resource-constrained waste management facilities by enabling real-time sorting without large, labeled datasets or GPU hardware. Originality: This work introduces an interpretable hybrid decision framework that integrates a mask-based overlap ratio with multiple geometric shape descriptors, improving discrimination between plastic and leaf waste while maintaining computational efficiency.
DESIGN OF A DIGITAL DISPLAY SYSTEM FOR FUEL CONSUMPTION MONITORING IN FOUR-WHEELED VEHICLES Yohanis Prasetyo Dalekes; Leonardo Frando Pasla; Jedithjah Naapia Tamedi Papia; Alfred Noufie Mekel; Tammy Tinny Veisy Pangow
EDUCATIONE Volume 4, Issue 2, July 2026
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/edu.v4i2.286

Abstract

Real-time fuel-consumption information can support more transparent evaluation of vehicle operating efficiency, but low-cost direct-flow prototypes require validation before vehicle deployment. This study designed and evaluated a digital display prototype using an Arduino Uno microcontroller, a YF-B6 Hall-effect water-flow sensor, an LM2596 voltage regulator, and a 20×4 I2C LCD. A prototype-development procedure covered literature review, workflow analysis, hardware and software design, bench sensor testing, system integration, and evaluation. During bench testing with water, one reported sensor reading was compared with each nominal reference volume from 1 to 5 L. Percentage error was calculated as |V_actual − V_sensor|/V_actual × 100. The sensor readings were 0.98, 1.96, 2.95, 3.93, and 4.91 L, producing errors of 2.00%, 2.00%, 1.67%, 1.75%, and 1.80%, respectively, with an average error of 1.84%. All pointwise errors were below the YF-B6 ±3% specification. The readings consistently under-reported the nominal volumes, indicating a systematic calibration bias that may be addressed through calibration correction. Because the prototype was tested with water rather than automotive fuel and was not validated on a moving vehicle, the results demonstrate bench-scale volumetric performance rather than final on-vehicle fuel-consumption accuracy. The system is therefore positioned as a low-cost proof of concept for subsequent fuel-compatible and on-vehicle validation.
Co-Authors Alfred Noufie Mekel Deko Trio Desembara Firmansyah Reskal Motulo Jedithjah Naapia Tamedi Papia Michael Edward G. Kimbal Rick Resa Wahani Tammy Tinny Veisy Pangow Yohanis Prasetyo Dalekes