KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 9 No. 1 (2023): Kalbisiana

Pengembangan Aplikasi Klasifikasi Alat Transportasi Berdasarkan Citra Digital untuk Pencatatan Aset Studi Kasus: PT. Pulo Mas Jaya

Muhammad Fikry (Institut Teknologi dan Bisnis kalbis)

Article Info

Publish Date
09 May 2023

Abstract

This research aims to develop desktop-based software that is useful for classifying digital images of transportation equipment for asset recording using the Convolutional Neural Network method to classify image data. The data used as training data is 15000 data which is divided into 3 data groups. While the test data used in this study were 3000 data. The convolutional neural network method is implemented using the TensorFlow software library. In this study, using the incremental model of software development. This incremental stage is divided into two stages, namely the first iteration focuses on making the classification model of transportation equipment and the second iteration focuses on making GUI-based applications. From the research results, iteration one produces a model with an accuracy value of 92.17%. for training data at 40 epochs and 92.16% on test data. Then, iteration two creates a desktop- based user interface built using the Tkinter framework.

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Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...