Implementation of Deep Learning CNN Algorithm for Classification of Gas Station Digitization Inventory Devices

Authors

  • Doli Sawaluddin Universitas Pembangunan Panca Budi
  • Zuhri Ramadhan Universitas Pembangunan Panca Budi

Keywords:

Convolutional Neural Network, Deep Learning, Classification, Gas Station Digitization, Device Inventory

Abstract

The process of digitizing gas station devices requires careful data validation, especially on device images that are often subject to input errors. To overcome this, this research proposes the use of Convolutional Neural Network (CNN) algorithm with transfer learning technique. The pre-trained CNN model will be used to classify the device images into 13 classes. For the sake of development flexibility, the data is divided into 2 separate models.

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Published

2025-02-02

How to Cite

Doli Sawaluddin, & Zuhri Ramadhan. (2025). Implementation of Deep Learning CNN Algorithm for Classification of Gas Station Digitization Inventory Devices. Journal of Information Technology, Computer Science and Electrical Engineering, 2(1), 35–46. Retrieved from https://ysmk.org/ejournal/index.php/jitcse/article/view/159