Implementation of The K-Means Clustering Algorithm in Determining The Rate of Indramayu Mango Fruit

Vito Dwi Yanto; Irma Handayani

doi:10.58526/jsret.v3i4.609

Authors

Vito Dwi Yanto Universitas Teknologi Yogyakarta
Irma Handayani Universitas Teknologi Yogyakarta

DOI:

https://doi.org/10.58526/jsret.v3i4.609

Keywords:

K-Means Clustering, Color Feature Extraction, Silhouette Score

Abstract

This research aims to classify the ripeness levels of Indramayu mangoes using the K-Means Clustering algorithm based on HSV (Hue, Saturation, Value) color features. The process begins with capturing mango images, followed by preprocessing steps such as normalization and resizing to enhance image quality. Next, color feature extraction is conducted, focusing on the Hue value as an indicator of color changes that characterize ripeness levels. The optimal number of clusters is determined using the Elbow method, resulting in two clusters: ripe mangoes and unripe mangoes. The clustering quality evaluation is performed using the Silhouette Score, which indicates an accuracy of 80%. The results demonstrate that the K-Means algorithm successfully classifies Indramayu mangoes, generating 495 image data divided into two main categories. This study contributes to improving the efficiency of automated mango ripeness classification, with potential applications in the agricultural industry.

Downloads

Download data is not yet available.

References

Alan Pambudi, N., Agus Pranoto, Y., & Panji Sasmito, A. (2021). PENGENALAN TINGKAT KEMATANGAN BUAH KOPI BERDASARKAN FITUR WARNA CIELAB DENGAN K-MEANS CLUSTERING. In Jurnal Mahasiswa Teknik Informatika) (Vol. 5).

Arif Rachman, MTr. H. CE. Y. A. I. S. H. P. (2016). Kuantitatif, P. P. (2016). Metode Penelitian Kunatitatif Kualitatif dan R&D. Alfabeta, Bandung.

Cui, M. (2016). Introduction to the k-means clustering algorithm based on the elbow method. Accounting, Auditing and Finance, 1(1), 5-8. https://doi.org/10.23977/accaf.2020.010102

Febrianti, A., Arini, S. T., & Fahrianto, F. (2020). PENERAPAN METODE K-MEANS CLUSTERING DAN SUPPORT VECTOR MACHINE (SVM) DALAM IDENTIFIKASI API PADA CITRA WARNA DIGITAL. Jurnal CoreIT, 6(1).

Himmah, E. F., Widyaningsih, M., & Maysaroh, M. (2020). Identifikasi Kematangan Buah Kelapa Sawit Berdasarkan Warna RGB Dan HSV Menggunakan Metode K-Means Clustering. Jurnal Sains Dan Informatika, 6(2), 193–202. https://doi.org/10.34128/jsi.v6i2.242

Kiay, G. S. (2018). Konsentrasi Asam Sitrat terhadap Mutu Sari Buah Mangga Indramayu.

Muchtar, M., & Muchtar, R. A. (2024). PERBANDINGAN METODE KNN DAN SVM DALAM KLASIFIKASI KEMATANGAN BUAH MANGGA BERDASARKAN CITRA HSV DAN FITUR STATISTIK. Jurnal Informatika Dan Teknik Elektro Terapan, 12(2). https://doi.org/10.23960/jitet.v12i2.4010

Oseko, M. (2017). Knowledge Sharing and Creating Process in a Social Development Project: Developing a Model for Intra-Project Knowledge Management. Open Journal of Social Sciences, 05(10), 117–127. https://doi.org/10.4236/jss.2017.510011

Pah, N. E. R., Mola, S. A. S., & Mauko, A. Y. (2021). EKSTRASI CIRI WARNA HSV DAN CIRI BENTUK MOMENT INVARIANT UNTUK KLASIFIKASI BUAH APEL MERAH. Jurnal Komputer Dan Informatika, 9(2), 142–153. https://doi.org/10.35508/jicon.v9i2.5043

Premana, A., & Pandhu Wijaya, A. (2022). Klasifikasi Jenis Buah Mangga Menggunakan Metode K-Means Clustering. 5.

Premana, A., Saeful Bachri, O., & Wijaya, A. P. (2022). KLASIFIKASI JENIS MANGGA APEL MENGGUNAKAN METODE K-MEANS KLUSTERING. Retrieved from https://jti.rivierapublishing.id/index.php/rp

Puspa, I., & Widayati, S. (2019). Segmentasi Warna Citra HSV dan Deteksi Objek Kupu-Kupu Dengan Metode Klasifikasi K-Means. Seminar Nasional Teknologi Informasi Dan Komunikasi STI&K (SeNTIK), 3(1).

Setiady, D. A. (2020). IMPLEMENTATION OF K-MEANS ALGORITHM ELBOW METHOD AND SILHOUETTE COEFFICIENT FOR RAINFALL CLASSIFICATION (Vol. 4).

Sinaga, A. S. R., & Marpaung, E. (2020). Segmentasi Warna HSV Telapak Tangan Untuk Deteksi Bakteri Pada Pendemi Covid 19. Fountain of Informatics Journal, 5(3), 1. https://doi.org/10.21111/fij.v5i3.4925

Umargono, E., Suseno, J. E., & Gunawan, V. (2020). K-Means Clustering Optimization Using the Elbow Method and Early Centroid Determination Based on Mean and Median Formula.

Utami, M., & Putra, E. D. (2023). Deteksi Objek Kualitas Daun Sawi Menggunakan Metode HSV Color dan Color Blob. 5(2). Retrieved from https://jurnal.ikhafi.or.id/index.php/jusibi