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All Journal Nusantara Journal of Computers and its Applications Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka
Hafin, Aqid Fahri
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Nusantara Journal of Computers and its Applications

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Use of Deep Learning and k-Nearest Neighbor Algorithms for Recognition of Fruit Types Sulthan, M Burhanis; Hartiansyah, Fiqih Rahman; Hafin, Aqid Fahri
NJCA (Nusantara Journal of Computers and Its Applications) Vol 10, No 1 (2025): Edisi Juni 2025
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v10i1.293

Abstract

fruit recognition was done in this research specifically for fruit image. The recognition of fruit in this study can be implemented to know the number of fruits that exist. Fruit image trained into several labels (fruit types) that are classified by data testing. There are several processes and methods undertaken in this research until the classification process, one of this i.e. Gaussian filter to improve the quality of fruit image recognition. Furthermore, the feature extraction process uses Gabor filter and for feature selection, PCA technic is respectively used to select some of the best features. The selected feature will be classified using deep learning and k-nearest neighbor (k-NN) method. Moreover, the results of the processes done carried out in achieving an accuracy of 95.01%.
Co-Authors Bidinnika, Muhammad Kunta Darmanto Darmanto Hartiansyah, Fiqih Rahman Hazar, Siti Herman Yuliansyah, Herman Muhammad Ridwan Murinto Murinto Pratama, Ridho Haikal Rajunaidi, Rajunaidi Sulthan, M Burhanis