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All Journal Jurnal Teknik Informatika (JUTIF) Yayasan Cita Cendikiawan Al Khwarizmi Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
El Akbar, R Reza
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Approach Integration Design Sprints to Design Thinking in Learning Management System Sakattaku Nida, Siti Nabilah; El Akbar, R Reza; Rahmatulloh, Alam
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 10 No. 1 (2024): April 2024
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v10i1.4833

Abstract

The Ministry of Education and Culture has introduced a new phase of its independent learning policy called the Movement Organization Program (POP). As a participant in POP, the Sakata Innovation Center Foundation offers a Saung Coding training program that combines hybrid learning methods, including utilizing the Sakattaku Learning Management System (LMS) platform. However, feedback from teachers and school principals indicates that 45% of the respondents (20 out of 45) faced difficulties and discomfort while using the LMS. The user interface (UI) and user experience (UX) are crucial in enhancing the system's functionality and overall user satisfaction. Hence, this research aims to analyze and develop a plan to implement improvements in the UI/UX of the sakattaku.com LMS. The study also involves testing the system and recommending design enhancements. By prioritizing UI and UX, the research combines the compatibility of Design Thinking and Design Sprint methodologies. The final findings indicate that 9 of 15 expert users completed the assigned scenario tasks successfully. The User Experience Questionnaire (UEQ), administered to a sample of 45 individuals, yielded positive impressions across all assessment aspects, with particular improvement noted in the clarity aspect, which transformed from a below-average rating to an excellent rating. Additionally, the novelty aspect exhibited the highest positive difference, with a value of 75.6%.
Pelatihan Literasi Digital, Koding, dan Kecerdasan Artifisial untuk Peningkatan Kapasitas Sekolah di Wilayah Kabupaten Tasikmalaya El Akbar, R Reza; Herwina, Wiwin; Handiman, Iman; Al Husaini, Muhammad; Lukmana, Hen Hen; Pitrianti, Siti; Asyaky, Muhammad Sidik
Dedikasi Sains dan Teknologi (DST) Vol. 5 No. 2 (2025): Artikel Pengabdian Nopember 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v5i2.7327

Abstract

Transformasi digital menuntut sekolah tanggap terhadap perubahan teknologi pembelajaran. Kegiatan pengabdian ini bertujuan meningkatkan literasi digital, kompetensi koding dasar, dan pemanfaatan kecerdasan artifisial (AI) bagi pendidik dan siswa di Kabupaten Tasikmalaya. Program mencakup asesmen kebutuhan, pelatihan literasi digital, pengenalan koding berbasis Scratch dan metode “unplugged”, serta pemanfaatan AI edukatif (mis. peringkasan, pembuatan bahan ajar, dan penilaian awal). Pendampingan lapangan dan project-based learning (PjBL) digunakan untuk memastikan adopsi di kelas. Luaran meliputi modul pelatihan, video tutorial, prototipe proyek ajar berbasis koding/AI, dan Rencana Tindak Lanjut (RTTL) tiap sekolah. Hasil awal menunjukkan peningkatan kepercayaan diri pendidik dalam mengintegrasikan teknologi, tersusunnya perangkat ajar digital, serta terbentuknya tim inovasi sekolah. Kegiatan ini menegaskan bahwa pendekatan bertahap, adaptif, dan berbasis proyek efektif mendorong adopsi teknologi pada satuan pendidikan dengan keterbatasan fasilitas.
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 Al Husaini, Muhammad Alam Rahmatulloh Anshary, Muhammad Adi Khairul Asyaky, Muhammad Sidik Handiman, Iman Herwina, Wiwin Hidayat, Eka Wahyu Lukmana, Hen Hen Nida, Siti Nabilah Pitrianti, Siti