K-MEANS SEGMENTATION AND CLASSIFICATION OF SWIETENIA MAHAGONI WOOD DEFECTS

  • Sri Rahayu STMIK Nusa Mandiri
  • Dwiza Riana Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri
  • Anton Anton Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri
DOI: https://doi.org/10.33480/techno.v18i2.2222
Keywords: K-Means, GLCM, Euclidean Distance, Wood Defect

Abstract

The potential and usefulness of wood to meet the needs of human life are not in doubt. Demands us to continue to maintain the quality. Wood quality is closely related to wood defects. Manual defect checks in the wood industry are unreliable because they are prone to human error, For example, due to acute symptoms of headaches and tired eyes, technology in the form of image processing can help identify wood defects Swietenia Mahagoni. In this case, the method used is Euclidean distance with a ratio of k-means segmentation and thresholding on 42 images of wood defects consisting of 3 types of defects, namely growing skin defects, rotting knots, and healthy knots, every 14 images with data sharing. training for 30 images and testing for 12 images. The results of the k-means segmentation are then extracted on 6 features including metric, eccentricity, contrast, correlation, energy, and homogeneity using the Gray Level Co-occurrence Matrix (GLCM) extractor and classified by calculating the closest distance using the euclidean distance between the results of data feature extraction. testing of the value of feature extraction in the training data which is used as a previous database. It is the smallest value that indicates the type of defect. The success calculation is presented in the confusion matrix calculation and gets a success or accuracy value of 91.67%.

References

Allo, M. K. (2016). Kondisi Sifat Fisik dan Kimia Tanah pada Bekas Tambang Nikel serta Pengaruhnya terhadap Pertumbuhan Trengguli dan Mahoni. Jurnal Hutan Tropis, 4(2), 207–217.

Ardhiansyah, A., Tavita, G. E., & M, I. A. (2019). Identifikasi Jenis Cacat Kayu Bulat Jati (Tectona Grandis Linn. F.) Pada Areal Pemanenan Di Kph Jember. Jurnal Hutan Lestari, 7(1), 525–531. https://doi.org/10.26418/jhl.v7i1.32377

Ariani, D. R. (2020). Identifikasi Penyebab Kecelakaan Lalu Lintas Dengan Menggunakan Metode K-Means. 8, 320–325.

Bimo, W. A., & Maryam, S. (2020). Mekanisme Pembiayaan Pemilikan Rumah IB Maslahah Dengan Akad Murabahah Di Bank BJB Syariah Kantor Cabang Bogor. 8(1), 41–50.

BPS. (2019, October). Ke Mana Tujuan Ekspor Kayu Lapis Indonesia ? 267, 2019.

Karimah, F. U., Ernawati, & Andreswari, D. (2015). RANCANG BANGUN APLIKASI PENCARIAN CITRA BATIK BESUREK BERBASIS TEKSTUR DENGAN METODE GRAY LEVEL CO- OCCURRENCE MATRIX DAN EUCLIDEAN DISTANCE. Jurnal Teknologi Informasi, 11(April), 64–77.

Kurniawan, A. (2020). Ekspor Plywood Asal Kaltim Tetap Berlabu ke Amerika Serikat di Tengah Pandemi. Https://Klikhijau.Com/.

Kusanti, J., & Haris, N. A. (2018). Klasifikasi Penyakit Daun Padi Berdasarkan Hasil Ekstraksi Fitur GLCM Interval 4 Sudut. Jurnal Pengembangan IT (JPIT), 03(01), 1–6.

Lanoeroe, S., Kesaulija, E. M., & Rahawarin, Y. Y. (2005). Pemanfaatan Jenis Tumbuhan Berkayu sebagai Bahan Baku Perahu Tradisional oleh Suku Yachai di Kabupaten Mappi. Biodiversitas, 6(3), 212–216.

Lestari, A. S. R. D., Hadi, Y. S., Hermawan, D., Santoso, A., & Pizzi, A. (2019). Physical and mechanical properties of glued-laminated lumber from fast-growing tree species using Mahagony tannin adhesive. Wood and Fiber Science, 51(2), 1–12.

Pantow, F. S., Tumbuan, W. J. F. A., & Ogi, I. W. J. (2018). Analisis Pemasaran Relasional Terhadap Loyalitas Pelanggan Rumah Kayu Manado Pada Pt. Woloan Permai Perkasa. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 6(3), 1618–1627. https://doi.org/10.35794/emba.v6i3.20321

Patria, A. A., & Pribadi, T. W. (2017). Analisis Teknis dan Ekonomis Pembangunan Kapal Ikan Tradisional Ukuran <10 GT Berbahan Kayu Utuh Dengan Teknologi Laminasi Kayu Mahoni. Jurnal Teknik ITS, 6(1). https://doi.org/10.12962/j23373539.v6i1.22839

Premana, A., Bhakti, R. M. H., & Prayogi, D. (2020). Segementasi K-Means Clustering Pada Citra Menggunakan Ekstraksi Fitur Warna Dan Tekstur. Information Technology Journal of UMUS, 2(1), 89–97.

Qayyum, R., Kamal, K., Zafar, T., & Mathavan, S. (2016). Wood Defects Classification Using GLCM Based Features And PSO Trained Neural Network. International Conference on Automation and Computing (ICAC), 3–7.

Rahayu, S., Riana, D., & Anton. (2021). Identifikasi Cacat Kayu Swietenia Mahagoni Menggunakan Euclidean Distance Dengan Perbandingan Segmentasi K-Means Dan Thresholding. Jurnal Techno Nusa Mandiri, 18.

Raval, K., Shukla, R., & Shah, A. K. (2017). Color Image Segmentation using FCM Clustering Technique in RGB , L * a * b , HSV , YIQ Color spaces. European Journal of Advances in Engineering and Technology, 4(3), 194–200.

Santoso, A., & Abdurachman, A. (2016). Karakteristik Ekstrak Kulit Kayu Mahoni Sebagai Bahan Perekat Kayu. Jurnal Penelitian Hasil Hutan, 34(4), 269–284. https://doi.org/10.20886/jphh.2016.34.4.269-284

Utami, E. (2016). Penggunaan Principal Component Analysis dan Euclidean Distance untuk Identifikasi Citra Tanda Tangan Use of Principal Component Analysis and Euclidean Distance to Identify Signature Image. IPTEK-KOM, 16(1), 1–16.

Xiang, Z. Y., Qin, Z. Y., Ying, L., Quan, J. L., & Wei, C. Z. (2016). Identification of Wood Defects Based on LBP Features. Proceedings of the 35th Chinese Control Conference, 4202–4205.

Yang, F., & Wang, Y. (2018). Study on Image Recognition and Classification of Wood Skin Defects Based on BOW Model. 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018), 80–84. https://doi.org/10.2991/meees-18.2018.16

Published
2021-09-15
How to Cite
Rahayu, S., Riana, D., & Anton, A. (2021). K-MEANS SEGMENTATION AND CLASSIFICATION OF SWIETENIA MAHAGONI WOOD DEFECTS. Jurnal Techno Nusa Mandiri, 18(2), 81-86. https://doi.org/10.33480/techno.v18i2.2222
Issue
Vol 18 No 2 (2021): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of September 2021
Section
Articles

Copyright (c) 2021 Sri Rahayu, Dwiza Riana, Anton Anton

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The copyright of any article in the TECHNO Nusa Mandiri Journal is fully held by the author under the Creative Commons CC BY-NC license.

  1. The copyright in each article belongs to the author.
  2. Authors retain all their rights to published works, not limited to the rights set out on this page.
  3. The author acknowledges that Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) is the first to publish with a Creative Commons Attribution 4.0 International license (CC BY-NC).
  4. Authors can enter articles separately, manage non-exclusive distribution, from manuscripts that have been published in this journal into another version (for example: sent to author affiliation respository, publication into books, etc.), by acknowledging that the manuscript was published for the first time in Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri);
  5. The author guarantees that the original article, written by the stated author, has never been published before, does not contain any statements that violate the law, does not violate the rights of others, is subject to the copyright which is exclusively held by the author.
  6. If an article was prepared jointly by more than one author, each author submitting the manuscript warrants that he has been authorized by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agrees to notify the co-authors of the terms of this policy. Techno Nusa Mandiri: Journal of Computing and Information Technology (TECHNO Nusa Mandiri) will not be held responsible for anything that may have occurred due to the author's internal disputes.