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All Journal Jurnal Simetris Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan JOIN (Jurnal Online Informatika) Diksa : Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Bitnet: Jurnal Pendidikan Teknologi Informasi JISA (Jurnal Informatika dan Sains) Reswara: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) INSERT: Information System and Emerging Technology Journal JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Pengabdian Siliwangi International Journal of Applied Information Systems and Informatics
Hidayat, Eka Wahyu
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

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GRAPHICAL COMPUTING FOR BATIK PATTERN DESIGN BASED ON L-SYSTEM Hidayat, Eka Wahyu; Anshary, Muhammad Adi Khairul; Nur Shofa, Rahmi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1595

Abstract

The challenge faced by the batik industry in the industrial era 5.0 is the adaptation to technology in the production process. One way to overcome this challenge is to start from the basics in the batik industry, namely the creative process of designing batik patterns. It is important to pay special attention to this process to enhance digital transformation in the batik industry. The purpose of this paper is to present the design and creation of batik patterns using the L-System-based fractal approach. Previous research has shown that the L-System can be used to model plant growth in 2D and 3D contexts. In a similar way, the L-System is used in this study to create batik patterns. Experiments were conducted through three stages, namely Data Acquisition, Data Identification, and Modeling. The experiment results in a dataset of batik motifs that can be used as parameters to replace line segments in the L-System. The design and creation of batik patterns using the L-System only needs to be done once, so that from one pattern, a variety of different motifs can be produced easily by simply changing the parameters. This shows that the design and creation of batik patterns using L-System is more efficient and practical. In addition, the fractal dimension calculation is used to understand and describe the fractal properties of the resulting objects. In this study, it was found that there are four motifs without ornaments that have higher fractal dimension values than motifs with equivalent ornaments.
Improved Contrast and Clarity in Plant Microscopic Images using Contrast Limited Adaptive Histogram Equalization Hidayat, Eka Wahyu; El Akbar, R Reza; Anshary, Muhammad Adi Khairul
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5333

Abstract

This research aims to enhance the quality of microscopic plant images which often suffer from low contrast and noise, hindering both visual and automated analysis. We propose the application of the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm to address this issue. Implementation was carried out using MATLAB, processing a dataset of microscopic images from the Biology Laboratory of Siliwangi University. The research methodology includes image pre-processing, applying CLAHE with a Tile Grid Size of 8×8 and a Clip Limit of 0.02, and a quantitative evaluation using full-reference metrics such as MSE, PSNR, SSIM, RMSE, and FSIM. The results show that the application of CLAHE consistently demonstrated a significant improvement in image quality. Based on calculations, the lowest MSE value was found in the “monokotil (L.S)” image with 644.046 and the highest in the Monocotyledon Stem image with 6,298,683. The highest PSNR value was achieved by the “monokotil (L.S)” image with 46.225 dB, while the lowest was in two Monocotyledon Stem images, at 25.174 dB and 23.422 dB. The highest SSIM value was also in the “monokotil (L.S)” image with 0.946, indicating a very high structural similarity. Likewise, the highest FSIM value was also found in the “monokotil (L.S)” image with 0.979. This enhancement is crucial for botanical analysis and bioinformatics applications, as it effectively increases contrast, reduces noise, and preserves structural integrity, thereby facilitating the identification of fine details in microscopic images. These results establish a reproducible enhancement baseline that strengthens downstream botanical analytics.
Co-Authors Akbar, R Reza El Alam Rahmatulloh Aldya, Aldy Putra AMALIA, TIARA Andhy Romdani, Andhy Anisah Anshary, Muhammad Adi Khairul Asep Andang, Asep Azim, Muhammad Fauzan Bowo, Ferdian Arie Cucu Hidayat El Akbar, R Reza Ernawati, Rita Sri Fajriani, Yuke Nurul Faridah, Linda Firdaus, Andre Taufik Hasanah, Risna Husni Mubarok Julianus, Ervan Kurniati, Neng Ika Maulana Sugiartana, Firmansyah Milak, Asep Saeful Mustofa, Romy Faisal NUR KOMALASARI Nur Shofa, Rahmi Nur Widiyasono, Nur Permana, Prama Prasetia, Rhoza Pratama, Miftahul Huda Putra, Adita Widara Putra, Rachmat Mahardika Rachman, Andi Nur Rahman, Yulizar Rahmawati, Shelvi Nur Rifansyah, Elpan Ahmad Sakina, Hilmi Septian, Hilman Shofa, Rahmi Nur Solihin, Ade Sulastri, Heni Suteja, Fauzan Novaldi Titin Setiartin, Titin