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All Journal Influence: International Journal of Science Review
Moch. Arief Soeleman
Faculty of Computer Science, Dian Nuswantoro University, Semarang, Indonesia
Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Public Health Social Sciences

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Classification of Types of Dates Using Extraction of Shape and Texture Features with K-Nearest Neighbors Method Muhammad Ichsan; Abdul Syukur; Affandy; Moch. Arief Soeleman
INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW Vol. 4 No. 1 (2022): INFLUENCE: International Journal of Science Review
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/influencejournal.v4i1.333

Abstract

Dates are one type of plant that comes from palm trees, dates can also be called in Latin arecaceae. There are several types of dates available in the market making it difficult for buyers (consumers) to recognize the types. The purpose of this study was to determine the accuracy of the results of dates from ajwa, grape and mejol dates using the classification of texture and shape features using the K-NN (K-Nearest Neighbors) method. The stages of image processing, namely data processing, segmentation, and extraction using the K-Nearest neighbors method, from this research it is known that the accuracy value is 96.33%.
Co-Authors Abdul Syukur Affandy Muhammad Ichsan