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All Journal Techno.Com: Jurnal Teknologi Informasi EMITTER International Journal of Engineering Technology INOVTEK Polbeng - Seri Informatika Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Computer Science and Informatics Engineering Proceeding Applied Business and Engineering Conference TANJAK : Jurnal Pengabdian Kepada Masyarakat
Desi Amirullah, Desi
Politeknik Negeri Bengkalis
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Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features Amirullah, Desi; Barakbah, Ali Ridho; Basuki, Achmad
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.37

Abstract

The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs names and variations was derived from plants and animals as source of inspiration to create many patterns of songket. Each of songket patterns have a philosophy in form of rhyme that refers to the nature of the sources of songket patterns and that philosophy reflects to the beliefs and values of Malay culture. In this research, we propose a system to facilitate an understanding of songket and the philosophy as a way to conserve Songket culture. We propose a system which is able to collect information in image songket motif variations based on feature extraction methods. On each image songket motif variations, we extracted philosophy of rhyme into impressions, and extracting color features of songket images using a histogram 3D-Color Vector quantization (3D-CVQ), shape feature extraction songket image using HU Moment invariants. Then, we created an image search based on impressions, and impressions search based on image. We use techniques of search based on color, shape and aggregation (combination of colors and shapes). The experiment using impression as query : 1) Result based on color, the average value of true 7.3, total score 41.9, 2) Result based on shape, the average value of true 3, total score 16.4, 3) Result based on aggregation, the average value of true 3, total score 17.4. While based using Image Query : 1) Result based on color, the average precision 95%, 2) Result based on shape, average precision 43.3%, 3) Based aggregation, the average precision 73.3%. From our experiments, it can be concluded that the best search system using query impression and query image is based on the color.Keyword : Image Search, Philosophy, impression, Songket, cultural computing, Feature Extraction, Analytical aggregation.
Penerapan Aplikasi Manajemen Keuangan Usaha Mikro melalui Komunitas Bengkalis UMKM Community (BUC) Lipantri Mashur Gultom; Desi Amirullah
TANJAK : Jurnal Pengabdian Kepada Masyarakat Vol 7 No 1 (2026): TANJAK : Jurnal Pengabdian Kepada Masyarakat
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/9m4an446

Abstract

Usaha Mikro Kecil Menengah (UMKM) merupakan sektor yang berperan penting dalam pengembangan ekonomi daerah, namun sebagian besar pelaku UMKM masih menghadapi kendala dalam pencatatan keuangan yang rapi dan terstruktur. Bengkalis UMKM Community (BUC) sebagai komunitas UMKM aktif di Kabupaten Bengkalis menunjukkan permasalahan utama berupa minimnya pengetahuan pelaku UMKM mengenai pencatatan keuangan berbasis akuntansi dan belum tersedianya aplikasi yang mudah digunakan. Kegiatan pengabdian masyarakat ini bertujuan untuk mengembangkan aplikasi manajemen keuangan berbasis Standar Akuntansi Keuangan Entitas Mikro Kecil Menengah (SAK EMKM) yang sederhana, dan ramah pengguna. Metode pelaksanaan meliputi analisis kebutuhan, pengembangan aplikasi, uji coba, pelatihan, pendampingan, hingga monitoring dan evaluasi. Hasil kegiatan menunjukkan bahwa aplikasi telah sukses digunakan oleh lebih dari 40 UMKM dan dinilai membantu meningkatkan literasi keuangan digital pelaku UMKM. Luaran kegiatan meliputi publikasi ilmiah, HKI, video kegiatan, serta implementasi aplikasi sebagai Teknologi Tepat Guna. Program ini diharapkan dapat memberikan dampak signifikan dalam meningkatkan tata kelola keuangan serta memperkuat ekosistem digitalisasi pelaku usaha khususnya Usaha Mikro di Bengkalis.
Quantum Natural Gradient vs. Adam Optimizer in Variational Quantum Classifiers: Crossover Analysis and Information Acquisition Efficiency Desi Amirullah; Lipantri Mashur Gultom
Journal of Computer Science and Informatics Engineering Vol 5 No 3 (2026): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i3.1829

Abstract

Variational Quantum Circuits (VQCs) represent a central paradigm in near-term quantum machine learning, yet the comparative optimisation dynamics of quantum-aware and classical optimisers remain insufficiently characterised in realistic multi-class settings. We present a systematic empirical study comparing the Quantum Natural Gradient (QNG) optimizer against Adam within a VQC trained for ten-class digit recognition, employing eight qubits, three variational layers with RY-RZ-RX gate sequences, circular CX entanglement, and data re-uploading—yielding 72 trainable quantum parameters augmented by a classical linear readout head. A diagonal Quantum Fisher Information Matrix (QFIM) estimated via the parameter-shift fidelity metric underpins QNG, with a lazy update scheme (every five gradient steps) to equalise computational cost with Adam. Over 1,000 training epochs, Adam achieves 95% test accuracy while QNG achieves 92%, with QNG demonstrating markedly superior early convergence. Crossover analysis across four encoding-overlap bins confirms that QNG outperforms Adam exclusively in the low-overlap regime (ci < 0.54), consistent with the theoretical predictions of Kimura and Mitarai [10]. Information acquisition efficiency measurements reveal qualitatively opposite scaling behaviours: Adam’s Fisher-empirical gi scales as ci−2.19 , whereas QNG’s QFIM-fidelity gi is near scale-invariant (ci0.02). These findings provide actionable optimizer selection criteria for practical VQC deployments and offer the first empirical validation of the Kimura-Mitarai efficiency framework beyond the quantum phase estimation setting
Co-Authors Achmad Basuki Ali Ridho Barakbah Eko Prayitno Gultom, ipantri Mashur Gultom, Lipantri Mashur jaroji jaroji Lipantri Mashur Gultom Mashur Gultom, Lipantri Muhammad Nurul Hudin