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All Journal Jurnal Cendikia JSAI (Journal Scientific and Applied Informatics) Jurnal Abdi Masyarakat (JAM) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences
Wachyu Hari Haji
Jurusan Sistem Informasi, Fakultas Ilmu Komputer, Universitas Mercu Buana Jakarta
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : JSAI (Journal Scientific and Applied Informatics)

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Perancangan Aplikasi Web Untuk Deteksi Motif Batik Indonesia Berbasis Image Processing dan Machine Learning Vina Ayumi; Ida Nurhaida; Wachyu Hari Haji
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.6240

Abstract

Machine learning batik motif detection is important because it helps identify, classify, and find batik by motif and area. The diversity of batik motifs in Indonesia poses a challenge to society, as many motifs have similarities in pattern or color, leading to errors in identification. Researchers have used machine learning techniques to address this problem. Machine learning models with image preocessing techniques such as torch techniques, log gabor, gray level co-occurrence matrix (GLCM) techniques have been used to identify batik motifs with high accuracy. This application will be developed using the web information system development methodology (WISDM) methodology. These advances in machine learning of batik motif detection contribute to preserving Indonesian culture and heritage. The best results were obtained from the combination of gabor, log gabor, GLCM features with retrieval rate quality reaching 84.54% in motif detection.
Evaluasi Usability pada Portal Basis Data Tanaman Obat Indonesia Menggunakan Metode System Usability Scale (SUS) Wachyu Hari Haji; Anita Ratnasari; Vina Ayumi; Handrie Noprisson; Nur Ani
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.6263

Abstract

Previous research discussed valuable recommendations for the development of an Indonesian medicinal plant database portal. However, previous research has not discussed usability evaluation on the Indonesian medicinal plant database portal. One usability evaluation technique that is quite popular is the system usability scale (SUS). This study aims to analyze the portal database of medicinal plants using the usability scale (SUS) system to find out the next portal improvement. The SUS method allows researchers to collect data from users through surveys and calculate usability scores, providing recommendations for improving the design and functionality of web-based systems. From the experimental results in the form of calculation results using SUS measurement, it is known that the implementation of the medicinal plant database portal received an assessment of 72.14. This value if interpreted using the measurement level of the final value of SUS can be said that the implementation of the medicinal plant database portal can be accepted (acceptable) with a good category (good).
Co-Authors Anita Ratnasari Ayumi, Vina Ida Nurhaida Muhammad Syahidin Noprisson, Handrie Nur Ani Vivi Ovianti