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IMPLEMENTASI ROUTING DALAM MENCARI JALUR TERBAIK DENGAN ALGORTIMA FLOYD WARSHALL DAN METODE HYBRID FUZZY MAMDANI BERDASARKAN HASIL PENGOLAHAN GAMBAR DARI PANTAUAN KAMERA CCTV DENGAN METODE YOLOV3

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Penilaian

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There are several things that have been done to deal with congestion problems, for example the start of transportation infrastructure, widening sidewalks, and widening roads. Routing is the process of selecting the path on the network that is used to send data packets to the destination address. The YOLOv3 method is used in this study to process images with the hybrid Fuzzy Mamdani and Floyd Warshall Algortima to find the best path because it implements a dynamic program that guarantees more success in finding the optimum solution in the case of determining the shortest path for all pairs of nodes. The three methods above get the results of training accuracy which affects the detection of objects to calculate the number of vehicles automatically, in the form of Average Precision motorbikes 80.12% and cars 90.76%, Precision 0.86, Recall 0.85, F1 Score 0.85, mAP 85.44%, and IoU 65.83%, has got good results at intersections monitored by CCTV cameras. The density level for Fuzzy Mamdani is highest on Monday in the afternoon, while on Friday the highest density is in the morning. Processing the Floyd warshall algorithm when calculating the path weight values gets results that show the best path is path 2

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207005202	T84937	T849372022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T849372022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xiv, 66 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.707

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Komputer
Data dalam Sistem-sistem

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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