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All Journal Harmoni: Jurnal Pendidikan dan Penelitian Seni Budaya Journal of Mathematics and Applied Statistics
Tangsi
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Attention-Enhanced Convolutional Networks for Fine-Grained Batik Motif Classification with Statistical Feature Modeling Abdal, Nurul Mukhlisah; Tangsi
Journal of Mathematics and Applied Statistics Vol. 3 No. 1 (2025): June 2025
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v3i1.309

Abstract

This study examines a hybrid method for classifying fine-grained Indonesian batik motifs under limited data conditions. The research focuses on two objectives: (1) assessing the contribution of attention mechanisms to the extraction of discriminative visual features, and (2) evaluating the role of Gray-Level Co-occurrence Matrix (GLCM) texture descriptors when combined with deep convolutional representations. The proposed approach employs a ResNet-50 backbone equipped with a Convolutional Block Attention Module (CBAM) and integrates second-order GLCM features through a feature-fusion framework. The dataset consists of authentic batik photographs representing 38 motif categories. Model performance is assessed using accuracy, macro-averaged metrics, Cohen’s Kappa, and ablation experiments supported by statistical tests. The model reaches a test accuracy of 75.90%, with a macro F1-score of 0.7598 and a Cohen’s Kappa value of 0.7456. Training and validation curves show stable behavior after the initial epochs. Per-class evaluation indicates that motifs with distinctive structural elements tend to be classified correctly, whereas motifs with subtle or overlapping patterns exhibit lower accuracy. The ablation study records a 4.79% accuracy increase attributed to CBAM and a 3.51% increase associated with GLCM features; both effects fall within statistically significant confidence intervals. The combination of both components yields an 8.38% improvement over the baseline model. Two-way ANOVA identifies main effects for attention and GLCM, with a small interaction term. These results provide information on how spatial attention and statistical texture features contribute to the classification of fine-grained batik motifs within the examined setting.
MAKNA SIMBOLIK GAPURA  PERB ATASAN GOWA  MAKASSAR DI HERTASNING BARU Fatahuddin; Tangsi; faisal, Muhammad
Harmoni: Jurnal Pemikiran Pendidikan, Penelitian Ilmu-ilmu Seni, Budaya dan Pengajarannya Vol 14 No 2 (2024): Harmoni:Jurnal Pendidikan Seni Budaya
Publisher : Program Studi Pendidikan Seni Rupa Fakultas Keguruan dan Ilmu Pendidikan Universitas Muham

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/v7ha0014

Abstract

The purpose of this study is to determine the symbolic meaning of the Gowa–Makassar border gate located on Hertasning Baru Street. The data collection techniques used were observation, interviews, and documentation. This research aims to provide a clear, accurate, and comprehensive description of the “Symbolic Meaning of the Gowa–Makassar Border Gate at Hertasning Baru.” The method employed in this study was a survey method conducted through direct observation. Data analysis was carried out by collecting the results of observations, interviews, and documentation (photographs), followed by data categorization and interpretation. Important data were summarized, organized into sections, verified for accuracy, and then interpreted. The samples in this study consisted of several photographs of the Gowa–Makassar border gate at Hertasning Baru. Based on the research findings, it can be concluded that the visual form of the Gowa–Makassar border gate emphasizes the shape of the badik, which is a traditional weapon characteristic of the Gowa community.
Co-Authors Abdal, Nurul Mukhlisah Dwi Wahyuni Hamka Fatahuddin Jusbaeni Muhammad Faisal Siti Asmaulul Izmi Sri Riski Wulandari