Image of  PENENTUAN JALUR TERBAIK MENGGUNAKAN ALGORITMA PARTICLE SWARM OPTIMIZATION BERDASARKAN DARI HASIL OUTPUT KONDISI KEPADATAN KENDARAAN DENGAN METODE LONG SHORT TERM MEMORY.

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 PENENTUAN JALUR TERBAIK MENGGUNAKAN ALGORITMA PARTICLE SWARM OPTIMIZATION BERDASARKAN DARI HASIL OUTPUT KONDISI KEPADATAN KENDARAAN DENGAN METODE LONG SHORT TERM MEMORY.

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This study aims to determine the best route using Artificial Intelligence (AI) based on the Particle Swarm Optimization algorithm under road conditions in Palembang City. This research employs You Only Look Once version 8 (YOLOv8) to develop a detection system and count the number of vehicles based on CCTV video recordings, achieving a model with mAP accuracy values of 84% for training and 83% for testing. Additionally, the Long Short Term Memory (LSTM) method is used to assess road conditions as clear, moderate, or congested using several parameters, including vehicle count, road width, and travel distance. In predicting road congestion conditions, LSTM achieved a model accuracy of 93%. This is followed by the Particle Swarm Optimization algorithm to determine the best route using travel distance and road conditions as parameters. The research results indicate that route 4 is the best route at different times, namely, in the morning at 8 and 9 AM, in the afternoon at 1 and 2 PM, and in the evening at 4 and 5 PM. Route 4 has a relatively low total route weight of 13.5. It can be concluded that YOLO and Long Short Term Memory are capable of detecting and determining road congestion conditions with accuracy values of 84% for YOLO and 92.18% for LSTM.

Availability
Inventory Code Barcode Call Number Location Status
2407003717T146493T1464932024Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1464932024
Publisher
Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer.,
Collation
xvii, 84 hlm.; ilus.; tab.; 29 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
518.107
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Particle Swarm Optimization
Prodi Sistem Komputer
Specific Detail Info
-
Statement of Responsibility
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No other version available

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