Iqbal, M Ihwanul (2022) Deteksi Kerusakan Ban Menggunakan Algoritma Convolutional Neural Network. Undergraduate thesis, UPN Veteran Jawa Timur.
|
Text (Cover)
18081010016.-cover.pdf Download (793kB) | Preview |
|
|
Text (Bab1)
18081010016.-bab1.pdf Download (77kB) | Preview |
|
|
Text (Bab2)
18081010016.-bab2.pdf Download (711kB) | Preview |
|
![[img]](http://repository.upnjatim.ac.id/style/images/fileicons/text.png) |
Text (Bab3)
18081010016.-bab3.pdf Restricted to Registered users only until September 2024. Download (598kB) |
|
|
Text (Bab4)
18081010016.-bab4.pdf Restricted to Registered users only until September 2024. Download (605kB) |
|
|
Text (Bab5)
18081010016.-bab5.pdf Download (8kB) | Preview |
|
|
Text (DaftarPustaka)
18081010016.-daftarpustaka.pdf Download (75kB) | Preview |
Abstract
A motorized vehicle is the most frequently used means of transportation and almost all of them own a motorized vehicle. When driving, you must be careful and always check the vehicle is in a condition that is suitable for use or not, especially on the wheels and rubber restrictions. There are still many accidents because the tires of these vehicles are no longer suitable for use. Although the owner of the vehicle may periodically own it, most are not aware of the risks of or damage to the tires themselves. With this study, monitoring using methods from Deep Learning to Identify Monitoring from prohibited conditions by developing the Convolutional Neural Network method. From this method, it is identified through the images taken and then classified using CNN. With this research is expected to help to reduce unwanted events. The results of the study used 1028 image datasets which were divided into 2 classes, namely crack and normal. And from 3 test scenarios to find good results, obtained using three convolution layers (8, 16, 32) with hidden layers 216 and 512 getting 83% accuracy.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||||||||
| Subjects: | T Technology > T Technology (General) | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | M Ihwanul Iqbal | ||||||||||||
| Date Deposited: | 28 Sep 2022 04:09 | ||||||||||||
| Last Modified: | 28 Sep 2022 04:09 | ||||||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/9676 |
Actions (login required)
 |
View Item |