IDENTIFIKASI OTOMATIS SAMPAH BOTOL PLASTIK PADA BELT CONVEYOR MEGGUNAKAN METODE NAÏVE BAYES BERBASIS PYTHON

SAPUTRA, M.ROMI and Yani, Irsyadi (2025) IDENTIFIKASI OTOMATIS SAMPAH BOTOL PLASTIK PADA BELT CONVEYOR MEGGUNAKAN METODE NAÏVE BAYES BERBASIS PYTHON. Undergraduate thesis, Sriwijaya University.

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Abstract

Environmental problems caused by plastic waste are a serious challenge that requires appropriate technological solutions, especially in the waste sorting process. This study aims to develop an automatic identification system for plastic bottle waste integrated with a belt conveyor using a Python-based Naïve Bayes classification algorithm. The system is designed to recognize three types of plastic: Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), and Polypropylene (PP) by utilizing the Red, Green, and Blue (RGB) color values from bottle images captured in real-time using a camera. Image data processing is carried out by a minicomputer equipped with supporting libraries such as OpenCV and scikit-learn. Tests were conducted at three shooting positions: perpendicular, diagonal, and horizontal to examine the effect of camera angle on classification accuracy. The results showed that the perpendicular position produced the highest efficiency of 95.20%, compared to the horizontal (81.45%) and diagonal (77.50%) positions. Naïve Bayes was chosen because of its simplicity, computational efficiency, and its ability to adapt to a limited amount of training data. With its high accuracy and automated process, this system has great potential for application in the recycling industry to increase efficiency and reduce reliance on manual labor, while supporting more environmentally friendly plastic waste management.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Plastic Bottle Waste, Belt Conveyor, Naïve Bayes, Python, RGB
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ170-179 Mechanics applied to machinery. Dynamics
Divisions:	03-Faculty of Engineering > 21201-Mechanical Engineering (S1)
Depositing User:	M.Romi Saputra
Date Deposited:	22 Aug 2025 02:19
Last Modified:	22 Aug 2025 02:19
URI:	http://repository.unsri.ac.id/id/eprint/183156

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