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All Journal International Journal of Advances in Applied Sciences Jurnal Edukasi dan Penelitian Informatika (JEPIN) JEES (Journal of English Educators Society) IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Jurnal Pengabdian Masyarakat AbdiMas Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora (KAGANGA) Jurnal Pengabdian kepada Masyarakat Nusantara FASHLUNA Window of Public Health Journal Jurnal Abdimas Bina Bangsa Madani Syari'ah : Jurnal Pemikiran Perbankan Syari'ah Journal of Education Research Jurnal Patria Bahari Jurnal Puan Indonesia Tarbiyah Wa Ta'lim: Jurnal Penelitian Pendidikan dan Pembelajaran Mestaka: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Jurnal Salamata Pengabdian Jurnal Abdimas Nusantara Community Empowerment Review Abdurrauf Journal of Islamic Studies Journal of Accounting Law Communication and Technology Jurnal Pembangunan Agribisnis (Journal of Agribusiness Development) Journal Of Sustainable Education (JOSE) Madrasah Ibtidaiyah Research Journal Early Stage QOUBA : Jurnal Pendidikan JPFT (Jurnal Pendidikan Fisika Tadulako Online) Jurnal Gladiator Jurnal Sosiologi USK (Media Pemikiran & Aplikasi)
Azizah, Wafiq
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Journal : Jurnal Sisfokom (Sistem Informasi dan Komputer)

 1 
Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection Azizah, Wafiq; Agustin, Soffiana
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 1 (2025): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i1.2225

Abstract

The preservation of traditional batik patterns, often transmitted orally and through direct practice across generations, faces significant challenges in the modern era. Globalization introduces the risk of cultural homogenization, potentially diminishing the uniqueness and diversity of these patterns. Furthermore, the manual recognition of batik motifs is labor- intensive, time-consuming, and requires specialized expertise, rendering it unsuitable for large-scale preservation initiatives. Consequently, the development of technology-based solutions capable of documenting, analyzing, and recognizing batik patterns with efficiency and precision is imperative for safeguarding this cultural heritage. This study aims to address these challenges by developing an automated system for recognizing batik patterns, focusing on Javanese batik motifs—Kawung, Megamendung, and Parang—which serve as foundational designs for the evolution of batik in other regions. The proposed methodology integrates two feature extraction techniques, Histogram of Oriented Gradients (HOG) and Texture Moments, with the Random Forest machine learning algorithm. The research process encompasses four key stages: pre-processing, feature extraction, classification, and system evaluation, where the accuracy of individual and combined feature extraction methods is analyzed. Experimental results reveal that the HOG method achieves an accuracy of 78.99%, while the Texture Moments method yields 81.88%. Notably, the combination of these two methods enhances system performance, achieving the highest accuracy of 86.23%, representing a 4.65% improvement over the single methods. These findings underscore the efficacy of integrating HOG and Texture Moments with the Random Forest algorithm for automated batik pattern recognition.
Co-Authors , Syahru Rahmayuda, Haris Febriyanto Ramadhan , Sampe Hotlan Sitorus Afbasri, Afbasri Afriliana, Asmak Agustina, Indria Ahmad Ajib Ridlwan Ahna, Divia Nihlatul Ahsani, Eva Luthfi Fakhru Aji Sukoco Alhabsyi, Zulfa Alifudin, Muhammad Rifan Amin, Gempar Yanuar Al Amrina, Amrina Anggay Luri Pramana Anggraini, Siti Aisatul Khori Annisa, Yuliana Noor Anugrah, Bintang Melgian Arnada, Feby Asiah Asiah Astari, Syirli Ayuni, Efitria Basysyar, Andi Haura Rafiqah Budianto, Ivan Rivaldy Darmiyati Dhita, Ad’dhan DK, Sonia Effendy Effendy Esterina, Meriam Fadhiyah, Umrotus Shofiyatul Fadilah Fadilah, Fadilah Fathoni , Rizki Dwi Fhadilah, Yenifa Nurul Hanik, Elya Umi Hardinah, Siti Harianto Hasanah, Ghina Hasibuan, Hasbi Anshori Ibrahim, Agung Biladin Ilhamsyah Irawati, Arwita Ira Irfan Ramis Junaidi, Juliandry Kurniawan Karimah, Mar’atus Akhlakul Karubaba, Oktovianus Cristian Khasanah, Khotimatul Lestari, Andes LUBIS, ARMANSYAH MAGHFIRAH Maghfiroh, Mellya Imro’atul mardesia, pringgo Mardiningrum, Arifah Ma’arif, Amrullah Khoirul Meilani, Tantri Meri Erawati Mohammad Lutfi Muh. Fahruddin Nurdin Muhammad Idris Nabilah, Putri Nofi Susanti Nur Sehang Thamrin Nurasyah Dewi Napitupulu Nurgahayu nuri, Ahmad Zai Nurjannah Nurjannah Osira, Yessilia Pebriandi, Pebriandi Purnamasari, Intan Izza Putra, Juanda Putri, Laisya Syifana Hariyanto Qolbi, Rajab Khairul Rahmadanti, Erinda Ramadhan, Farhan Ricka Handayani Risma, Nor Rocha, Thiago Safitri, Novia Salsabila, Lutfia Aina Saputra, Yogy Ardian Sari Mariati Sepriza, Nurul Sih Yuwanti Siregar, Aulina Safitri Sistyawan, Yan Nisa Intan Siti Aminah Hasibuan Soffiana Agustin, Soffiana Sriati Usman Sumarta, Ryan Puby Supriyatman, Supriyatman Syaufuri, Intan Lhotifah Triana Lindriati Umi Kulsum Virizky, Fayzha Wati, Sulastri Yonda, Ade YULIANINGSIH, LILIK Yunus Yunus Zaimar, Syam Zakaria Zakaria Zara Tania Rahmadi Zulfa, Khusyairi