Image Processing Application for Lipa Saqbe Mandar
(1) Universitas Al Asyariah Mandar
(2) Universitas Al Asyariah Mandar
(3) Universitas Al Asyariah Mandar
(*) Corresponding Author
Abstract
Seeing from today's technological developments, it is growing rapidly, but there are still many people, especially the younger generation today, whose understanding is still very lacking, in recognizing any motifs or patterns in Lipa Saqbe Mandar. From these problems, an image processing application is needed to recognize the Lipa Saqbe pattern that can be used to help facilitate the community or the younger generation, where the camera application will be directed to Lipa Saqbe and will then provide information or identify the name of the Lipa Saqbe pattern or motif. This system uses the template matching method, which functions to match each part of an image with the image that becomes the template (reference). One of the applied methods of the convolution technique. This method is often used to identify character images of letters, numbers, fingerprints, and other image matching applications. This application is built using the Java programming language, and database. The image management process uses the template matching method through a scanning process so that it can identify the name of the motif or pattern in Lipa Saqbe
Full Text:
PDFReferences
Adyla, N. S., Sulili, A., & Aswad, M. (2018). Poverty Condition of Lipa’ Saqbe Mandar Weavers: Initial Findings from Agriculture Area of West Sulawesi, Indonesia. International Journal of Agriculture System Nationally Accredited Journal Decree, 6(48a), 68–73. https://doi.org/10.20956/ijas.v6i1.1492
Amalia, I., & Amin, Y. M. (2018). Ekstraksi Fitur Citra Songket Berdasarkan Tekstur Menggunakan Metode Gray Level Co-occurrence Matrix ( GLCM ). 3(2), 64–68.
Bahri, R. S., & Maliki, I. (2012). Perbandingan Algoritma Template Matching Dan Feature Extraction Pada Optical Character Recognition. Jurnal Komputer Dan Informatika (KOMPUTA), 1(1), 29–35. http://repo.pens.ac.id/1324/1/Paper_TA_MBAH.pdf
Fuad, M. N., & Suciati, N. (2018). Klasifikasi Multilabel Motif Citra Batik Menggunakan Boosted Random Ferns. JUTI: Jurnal Ilmiah Teknologi Informasi, 16(1), 79. https://doi.org/10.12962/j24068535.v16i1.a673
Sulistyo A.S., P. (2016). Sistem Pengenalan Pola Motif Batik Pada Perangkat Android Dengan Jaringan Syaraf Tiruan, Tugas Akhir, Universitas Gadjah Mada, Yogjakarta.
Haerulah, E., & Ismiyatih, S. (2017). Aplikasi e-commerce penjualan souvenir pernikahan pada toko “ XYZ .” Jurnal Prosisko, 4(1), 43–47. https://e-jurnal.lppmunsera.org/index.php/PROSISKO/article/download/146/208
Kadir, A., & Susanto, A. (2013). Teori dan Aplikasi Pengolahan Citra. Yogyakarta: Andi.
Kurniawardhani, A., Suciati, N., & Arieshanti, I. (2014). Klasifikasi Citra Batik Menggunakan Metode Ekstraksi Ciri yang Invariant Terhadap Rotasi. JUTI: Jurnal Ilmiah Teknologi Informasi, 12(2), 48.
Rangkuti, A. H. (2014). Klasifikasi Motif Batik Berbasis Kemiripan Ciri dengan Wavelet Transform dan Fuzzy Neural Network. ComTech: Computer, Mathematics and Engineering Applications, 5(1), 361. https://doi.org/10.21512/comtech.v5i1.2630
Riesmala, C. P., Rizal, A., & Novamizanti, L. (2012). budaya Indonesia. Batik telah ditetapkan oleh UNESCO sebagai Warisan Kemanusiaan untuk Budaya Lisan dan Nonbendawi ( Masterpieces of the Oral and Intangible Heritage of menggunakan ekstraksi ciri Rotated Wavelet Transform . Selanjutnya , hasil ekstraksi . 0–6.
Ihwan (2018). "Proses Tenun Lipa Sabbe Mandar". http://pauddikmassulbar.kemdikbud.go. id/. Diakses tanggal 26 Desember 2019
SAA Bowo, A Hidayatno, R. I. (2011). Analisis deteksi tepi untuk mengidentifikasi pola daun. Undergraduate Thesis, Diponegoro University, 1–7.
N. H. Maulida, B. Hidayat, and S. Sa’idah (2019), “Recognition Sasirangan Fabric Base On Texture With Gabor Filter, Template Matching And Decision Tree Classification,” in e-Proceeding of Engineering, pp. 927–934.
B. M. Musthofa, “Aplikasi Betawi Akses: Model Strategi Pelestarian Budaya Betawi Di Era Teknologi Informasi Dan Komunikasi Masa Kini,” J. Sos. Hum. Terap., vol. 2, no. 2, pp. 146–52, 2020.
Article Metrics
Abstract view : 323 timesPDF - 37 times
DOI: https://doi.org/10.26714/jichi.v2i2.8068
Refbacks
- There are currently no refbacks.
____________________________________________________________________________
Journal of Intelligent Computing and Health Informatics (JICHI)
ISSN 2715-6923 (print) | 2721-9186 (online)
Organized by
Department of Informatics
Faculty of Engineering
Universitas Muhammadiyah Semarang
W : https://jurnal.unimus.ac.id/index.php/ICHI
E : jichi.informatika@unimus.ac.id, ahmadilham@unimus.ac.id