Skripsi

 IMPLEMENTASI DECISION TREE DENGAN BAYESIAN OPTIMIZATION UNTUK MENDETEKSI KEMACETAN DAN REKOMENDASI RUTE ALTERNATIF MENGGUNAKAN ANT COLONY OPTIMIZATION

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Penilaian

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Traffic congestion is a serious issue that requires data-driven solutions and intelligent technologies. This study proposes a congestion detection system and alternative route recommendation based on a combination of Decision Tree (DT) algorithms optimized using Bayesian Optimization (BO) for classifying traffic conditions, and Ant Colony Optimization (ACO) for determining optimal routes. Input data is obtained from CCTV cameras and processed using YOLOv11 as a vehicle detector. The methodology includes vehicle object detection, traffic density extraction, traffic condition classification (free-flowing, moderate, congested) using DT+BO, and alternative route search using ACO. The results show that the classification model without Bayesian Optimization achieved 100% accuracy on training data and 79.31% on test data. With the implementation of Bayesian Optimization, the Decision Tree model achieved and maintained 100% accuracy on both training and test datasets. The ACO algorithm successfully identified an alternative route from Ampera Bridge to Sultan Mahmud Badaruddin II Airport, where Route 1 consistently had the lowest weight. The main contribution of this research is the integration of the DT+BO method to enhance congestion detection accuracy and the application of ACO in dynamic routing scenarios based on real-time traffic conditions. This system is expected to serve as an intelligent and adaptive solution for traffic management in urban areas

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507004651	T180131	T1801312025	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1801312025

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xvii, 64 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Sistem komputer

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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