(Institut Teknologi Del, Indonesia)(2) Humasak Simanjuntak
(Institut Teknologi Del, Indonesia)(3) Samuel Indra Gunawan Situmeang
(Institut Teknologi Del, Indonesia)(4) Robert Aritonang
(Institut Teknologi Del, Indonesia)(5) Nicholas Hutabarat
(Institut Teknologi Del, Indonesia)(6) Grase Panjaitan
(Institut Teknologi Del, Indonesia)*corresponding author
AbstractUlos is a traditional Batak textile with high cultural significance, yet artisans lack tools to modernize designs while preserving heritage. Previous research primarily uses single-objective methods that fail to accommodate user preferences. This study introduces the first multi-objective framework for traditional textile coloring, differentiating itself by using a large language model (LLM) as a natural language interface for non-technical weavers. The LLM translates user design preferences into dynamic objective functions to guide a Non-dominated Sorting Differential Evolution (NSDE) algorithm. Performance is assessed using the epsilon indicator, aesthetic metrics (contrast and colorfulness), and user preference scores. The system achieved high convergence with an epsilon-indicator value and user preference scores reaching 0.66. Additionally, a paired t-test (p=0.07) demonstrated the algorithm's robustness across parameter variations. This approach enables artisans to create culturally authentic, aesthetically optimized designs through intuitive interaction.
KeywordsUlos; Automatic Coloring; Large Language Model; Multi-objective Optimization; NSDE
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DOIhttps://doi.org/10.26555/ijain.v12i2.2328 |
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References
[1] R. J. Siagian, “The Symbolic Meaning of Traditional Woven Fabric Ulos as A Spiritual Expression in Batak Toba Rituals,” Int. J. Relig., vol. 5, no. 5, pp. 200–209, Apr. 2024, doi: 10.61707/stw03g83.
[2] Zulkifli and M. Ridwan, “Revitalization of The Traditional Values Lost Due to The Commodification of Art/Crafts: A Case Study of Bataknese Traditional Ulos,” Asian Ethn., vol. 20, no. 4, pp. 541–554, Oct. 2019, doi: 10.1080/14631369.2019.1608812.
[3] R. S. B. Simbolon, M. Sihotang, and K. Tobing, “Threads of Tradition: Silalahi Ulos Weaving and Cultural Significance in North Sumatra,” J. Ilmu Pendidik. dan Hum., vol. 11, no. 2, pp. 138–152, 2022, doi: 10.35335/jiph.v11i2.20.
[4] M. Z. Idris, N. B. Mustaffa, and S. O. S. Yusoff, “Preservation of Intangible Cultural Heritage Using Advance Digital Technology: Issues and Challenges,” Harmon. J. Arts Res. Educ., vol. 16, no. 1, p. 1, Dec. 2016, doi: 10.15294/harmonia.v16i1.6353.
[5] W. M. Wan Isa, N. A. Mat Zin, F. Rosdi, and H. Mohd Sarim, “Digital Preservation of Intangible Cultural Heritage,” Indones. J. Electr. Eng. Comput. Sci., vol. 12, no. 3, p. 1373, Dec. 2018, doi: 10.11591/ijeecs.v12.i3.pp1373-1379.
[6] S. Mazzetto, “Integrating Emerging Technologies with Digital Twins for Heritage Building Conservation: An Interdisciplinary Approach with Expert Insights and Bibliometric Analysis,” Heritage, vol. 7, no. 11, pp. 6432–6479, Nov. 2024, doi: 10.3390/heritage7110300.
[7] C. Nugroho, I. K. Nurhayati, K. Nasionalita, and R. M. U. Malau, “Weaving and Cultural Identity of Batak Toba Women,” J. Asian Afr. Stud., vol. 56, no. 6, pp. 1165–1177, Sep. 2021, doi: 10.1177/0021909620958032.
[8] M. P. Sikka, A. Sarkar, and S. Garg, “Artificial Intelligence (AI) in Textile Industry Operational Modernization,” Res. J. Text. Appar., vol. 28, no. 1, pp. 67–83, Jan. 2024, doi: 10.1108/RJTA-04-2021-0046.
[9] H. Anwer, M. Ali, and H. Jamshaid, “Applications of Artificial Intelligence in Textiles and Fashion,” in Creative Textile Industry, 2024, pp. 175–194, doi: 10.1007/978-981-97-3802-1_8.
[10] X. Wu and L. Li, “An Application of Generative AI for Knitted Textile Design in Fashion,” Des. J., vol. 27, no. 2, pp. 270–290, Mar. 2024, doi: 10.1080/14606925.2024.2303236.
[11] Y. Zhang, C. Liu, and S. Xia, “From Hype to Value: Harnessing Generative AI in Fashion Retailing From A Technology-Organization-Environment Perspective,” J. Electron. Bus. Digit. Econ., vol. 4, no. 2, pp. 203–219, Dec. 2025, doi: 10.1108/JEBDE-11-2024-0042.
[12] G. Rizzi and P. Bertola, “Exploring the generative AI potential in the fashion design process: an experimental experience on the collaboration between fashion design practitioners and generative AI tools,” Eur. J. Cult. Manag. Policy, vol. 15, pp. 1–22, May 2025, doi: 10.3389/ejcmp.2025.13875.
[13] LIAOANSHUN and S. Banerjee, “Investigating Cultural Sustainability via The Fusion and Innovation of Traditional Crafts and Modern Design,” Cuest. Fisioter., vol. 53, no. 3, pp. 4739–4747, 2024, doi: 10.48047/v5bakm73.
[14] A. C. Barus, M. Simanjuntak, and V. Situmorang, “DiTenun, Smart Application Producing Ulos Motif,” SHS Web Conf., vol. 86, p. 01025, Nov. 2020, doi: 10.1051/shsconf/20208601025.
[15] H. Simanjuntak, E. Panjaitan, S. Siregar, U. Manalu, S. Situmeang, and A. Barus, “Generating New Ulos Motif with Generative AI Method in Digital Tenun Nusantara (DiTenun) Platform,” Int. J. Adv. Comput. Sci. Appl., vol. 15, no. 7, pp. 1125–1134, 2024, doi: 10.14569/IJACSA.2024.01507109.
[16] A. Barus, S. Situmeang, M. Napitupulu, S. Saragih, and R. Theresia, “Automatic Ulos Coloring Using Genetic Algorithm Approach,” Eng. Appl. Artif. Intell., no. September, pp. 1–36, 2024, doi: 10.2139/ssrn.5059671.
[17] Y. Bo, J. Yu, and K. Zhang, “Computational Aesthetics and Applications,” Vis. Comput. Ind. Biomed. Art, vol. 1, no. 1, p. 6, Dec. 2018, doi: 10.1186/s42492-018-0006-1.
[18] S. Wang, J. Liu, J. Jiang, Y. Jiang, and J. Lan, “Attribute analysis and modeling of color harmony based on multi-color feature extraction in real-life scenes,” Front. Psychol., vol. 13, pp. 1–15, Sep. 2022, doi: 10.3389/fpsyg.2022.945951.
[19] Y. Du, X. Liu, M. Cai, and K. Park, “A Product’s Kansei Appearance Design Method Based on Conditional-Controlled AI Image Generation,” Sustainability, vol. 16, no. 20, p. 8837, Oct. 2024, doi: 10.3390/su16208837.
[20] G. Tian, Q. Yuan, T. Hu, and Y. Shi, “Auto-Generation System Based on Fractal Geometry for Batik Pattern Design,” Appl. Sci., vol. 9, no. 11, p. 2383, Jun. 2019, doi: 10.3390/app9112383.
[21] V. M. Ngo, T.-V. T. Duong, T.-B.-T. Nguyen, P. T. Nguyen, and O. Conlan, “An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures,” J. Comput. Cult. Herit., vol. 14, no. 4, pp. 1–22, Dec. 2021, doi: 10.1145/3465381.
[22] R. F. Alya, M. Wibowo, and P. Paradise, “Classification of Batik Motif Using Transfer Learning on Convolutional Neural Network (CNN),” J. Tek. Inform., vol. 4, no. 1, pp. 161–170, Feb. 2023, doi: 10.52436/1.jutif.2023.4.1.564.
[23] A. Das, A. Deka, K. Medhi, and M. J. Saikia, “Deep Learning to Authenticate Traditional Handloom Textile,” Information, vol. 15, no. 8, p. 465, Aug. 2024, doi: 10.3390/info15080465.
[24] N. Yusof, N. A. Abd. Majid, A. Ismail, and N. H. Hussain, “Preserving Songket Heritage Through Intelligent Image Retrieval: A PCA and QGD-Rotational-Based Model,” Computers, vol. 14, no. 10, p. 416, Oct. 2025, doi: 10.3390/computers14100416.
[25] Y. Chen and Y. Lou, “Deep Learning-Driven Craft Design: Integrating AI Into Traditional Handicraft Creation,” IEEE Access, vol. 13, pp. 176141–176156, 2025, doi: 10.1109/ACCESS.2025.3614185.
[26] V. Melnyk, “Parametric Pattern Design For Manually Knitted Textile Panels,” Digit. Creat., vol. 36, no. 3, pp. 167–177, Jul. 2025, doi: 10.1080/14626268.2025.2514120.
[27] X. Cong and W. Zhang, “Design of geometric flower pattern for clothing based on deep learning and interactive genetic algorithm,” J. Intell. Syst., vol. 33, no. 1, pp. 1–13, Jun. 2024, doi: 10.1515/jisys-2023-0269.
[28] C. Cui and S. Nazlina, “Integrating Genetic Algorithms with Biotechnological Insights for the Application of Chinese Traditional Geometric Patterns in Modern Textile Design,” J. Commer. Biotechnol., vol. 29, no. 3, pp. 364–376, 2024. [Online]. Available at: https://commercialbiotechnology.com/article-detail/?id=1488.
[29] H. Du, X. Huang, Y. Sheng, and Z. Liu, “Fuzzy Design Structure Matrix-Guided Genetic Algorithm for Optimizing Apparel Production Line Layouts,” Int. J. Cloth. Sci. Technol., pp. 1–21, Nov. 2025, doi: 10.1108/IJCST-11-2024-0220.
[30] R. Angira and B. V. Babu, “Non-dominated Sorting Differential Evolution (NSDE): An Extension of Differential Evolution for Multi-objective Optimization,” Proc. 2nd Indian Int. Conf. Artif. Intell. IICAI 2005, pp. 1428–1443, 2005. [Online]. Available at: https://www.semanticscholar.org/paper/Non-dominated-Sorting-Differential-Evolution-An-of-Angira-Babu/b995941cf069cfe76b05a9f96608dd5f555f8ae8.
[31] J. Yazdi, Y. H. Choi, and J. H. Kim, “Non-Dominated Sorting Harmony Search Differential Evolution (NS-HS-DE): A Hybrid Algorithm for Multi-Objective Design of Water Distribution Networks,” Water, vol. 9, no. 8, p. 587, Aug. 2017, doi: 10.3390/w9080587.
[32] A. Cemiloglu, L. Zhu, B. Chen, L. Lu, and Y. A. Nanehkaran, “Enhancing Urban Surface Runoff Conveying System Dimensions through Optimization Using the Non-Dominated Sorting Differential Evolution (NSDE) Metaheuristic Algorithm,” Water, vol. 15, no. 16, p. 2927, 2023, doi: 10.3390/w15162927.
[33] A. Zade, S. Neogi, and R. R. P. Kuppusamy, “Development of Non-Dominated Sorting Differential Evolution Algorithm for Cure Cycle Optimization of Industrial Composite Parts,” J. Reinf. Plast. Compos., vol. 44, no. 1–2, pp. 96–111, 2025, doi: 10.1177/07316844231212527.
[34] L. Wu et al., “Multi-Objective Distribution Network Planning Method with Distributed Generation Based on Non Dominated Sorting Differential Evolution Algorithm,” J. Phys. Conf. Ser., vol. 2247, no. 1, p. 12019, Apr. 2022, doi: 10.1088/1742-6596/2247/1/012019.
[35] L. Duan, Y. Liu, H. Li, K.-H. Park, and K. Cao, “Nondominated Sorting Differential Evolution Algorithm to Solve the Biobjective Multi-AGV Routing Problem in Hazardous Chemicals Warehouse,” Math. Probl. Eng., vol. 2022, no. 1, p. 3785039, 2022, doi: 10.1155/2022/3785039.
[36] F. Liu et al., “Large Language Model for Multi-objective Evolutionary Optimization.” in Evolutionary Multi-Criterion Optimization: 13th International Conference, 2024, pp. 1–13 2024. [Online]. Available at: https://dl.acm.org/doi/abs/10.1007/978-981-96-3538-2_13.
[37] W. M. Freire et al., “Large Language Model-Based Suggestion of Objective Functions for Search-Based Product Line Architecture Design,” in Anais do XVIII Simpósio Brasileiro de Componentes, Arquiteturas e Reutilização de Software (SBCARS 2024), Sep. 2024, pp. 21–30, doi: 10.5753/sbcars.2024.3833.
[38] N. van Stein and T. Bäck, “LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics,” IEEE Trans. Evol. Comput., vol. 29, no. 2, pp. 331–345, Apr. 2025, doi: 10.1109/TEVC.2024.3497793.
[39] Y. Huang, S. Wu, W. Zhang, J. Wu, L. Feng, and K. C. Tan, “Autonomous Multi-Objective Optimization Using Large Language Model,” IEEE Trans. Evol. Comput., pp. 1–1, 2025, doi: 10.1109/TEVC.2025.3561001.
[40] S. Yao, F. Liu, X. Lin, Z. Lu, Z. Wang, and Q. Zhang, “Multi-Objective Evolution of Heuristic Using Large Language Model,” Proc. AAAI Conf. Artif. Intell., vol. 39, no. 25, pp. 27144–27152, Apr. 2025, doi: 10.1609/aaai.v39i25.34922.
[41] D. Hasler and S. E. Suesstrunk, “Measuring Colorfulness in Natural Images,” Jun. 2003, p. 87, doi: 10.1117/12.477378.
[42] M. Beyeler, Machine Learning for OpenCV: Intelligent Image Processing with Python. London, England: Packt Publishing, 2017. [Online]. Available at: https://books.google.co.id/books/about/Machine_Learning_for_OpenCV.
[43] B. Moulden, F. Kingdom, and L. F. Gatley, “The Standard Deviation of Luminance as a Metric for Contrast in Random-Dot Images,” Perception, vol. 19, no. 1, pp. 79–101, Feb. 1990, doi: 10.1068/p190079.
[44] H. Kukkonen, J. Rovamo, K. Tiippana, and R. Näsänen, “Michelson Contrast, RMS Contrast and Energy of Various Spatial Stimuli at Threshold,” Vision Res., vol. 33, no. 10, pp. 1431–1436, Jul. 1993, doi: 10.1016/0042-6989(93)90049-3.
[45] C. Peng, H. Sun, and J. Guo, “Multi-Objective Optimal PMU Placement Using A Non-Dominated Sorting Differential Evolution Algorithm,” Int. J. Electr. Power Energy Syst., vol. 32, no. 8, pp. 886–892, Oct. 2010, doi: 10.1016/j.ijepes.2010.01.024.
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