Skripsi

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

---

Penilaian

---

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.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507005494	T183156	T1831562025	Central Library (Referensi)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1831562025

Publisher

Inderalaya : Prodi Teknik Mesin, Fakultas Teknik Universitas Sriwijaya., 2025

Collation

xxiii, 443 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

621.807

Content Type

Text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Teknik mesin

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment