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Image of MODEL KEPUTUSAN CERDAS DALAM MENENTUKAN JALUR TERBAIK TRANSPORTASI PADA SMART CITY MENGGUNAKAN ALGORITMA RANDOM FOREST DAN BAYESIAN OPTIMIZATION (RF-BO)

Skripsi

MODEL KEPUTUSAN CERDAS DALAM MENENTUKAN JALUR TERBAIK TRANSPORTASI PADA SMART CITY MENGGUNAKAN ALGORITMA RANDOM FOREST DAN BAYESIAN OPTIMIZATION (RF-BO)

Kamilia, Milda  - Personal Name;

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This research analyzes various methods and algorithms in the context of object detection and optimal route determination in vehicle traffic in the city of Palembang, as a step towards developing the concept of a smart city. The YOLOv3 method is employed to detect vehicles in video recordings, yielding an accuracy ranging from 72.72% to 79.35% for the categories of motorcycles and cars. The overall detection accuracy of the model reaches 76.03%. Furthermore, the Random Forest algorithm is implemented to classify road conditions into three categories: smooth-flowing, moderate, and congested. After optimization using Bayesian Optimization, the model's accuracy improves from 89% to 92%, and reading accuracy increases from 91.66% to 92.36%. The results of the A* Heuristic Search algorithm demonstrate that Route 5 (from SMK PGRI 1 Palembang to Bom Baru Jl Perintis Kemerdekaan Arah Charitas (STMIK MBC)) is the most frequently chosen optimal route in 9 out of 12 tested instances. This route selection is based on the tendency of lighter traffic congestion and the shortest travel distance compared to other routes. The width of the road also influences the optimal route selection, where wider roads can reduce traffic density and the risk of congestion.


Availability
Inventory Code Barcode Call Number Location Status
2307005775T128774T1287742023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1287742023
Publisher
Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023
Collation
xv, 102 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
003.07
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Jurusan Sistem Komputer
Sistem analisis
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • MODEL KEPUTUSAN CERDAS DALAM MENENTUKAN JALUR TERBAIK TRANSPORTASI PADA SMART CITY MENGGUNAKAN ALGORITMA RANDOM FOREST DAN BAYESIAN OPTIMIZATION (RF-BO)
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