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All Journal JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal SUTASOMA
Murdhani, I Dewa Ayu Sri
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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Media Pembelajaran Pengenalan Sistem Organ Manusia Melalui Augmented Reality Dengan Menggunakan Aplikasi Unity Murdhani, I Dewa Ayu Sri; Saraswati, I Dewa Ayu Indah; Muhammad, Sholeh
Jurnal SUTASOMA (Science Teknologi Sosial Humaniora) Vol 1 No 2 (2023): Juni 2023
Publisher : Universitas Tabanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58878/sutasoma.v1i2.193

Abstract

In today's modern era, information technology is developing quite rapidly in line with the times. The existence of these developments has had a large and broad impact on the progress of life in all fields. One of the currently developing information technologies is augmented reality (AR). AR can be used in the development of innovation in education. The use of AR can be an effective, fun, and interesting educational medium. The aim of the research is to help students learn more effectively using learning media that combines the real world with digital information through 2D or 3D models. The use of AR is used for the development of biology learning materials. The developed application is expected to make teaching materials easier to understand and students can measure mastery of the material, as well as make it easier to learn in a more active way in a self-paced mode. The research method used is Research and Development (R&D). Using this method can create innovation and improvement in the product/application development process. This research will produce an AR application that explains the discussion of material from human organs, then there is a quiz, and is equipped with 3D objects to provide an interactive learning experience, increase interest in learning, then be able to see and interact with models of human organs virtually. AR-based learning (Education) media was developed using the Unity application.
Classification of Moringa Leaf Quality Using Vision Transformer (ViT) Sugiartawan, Putu; Murdhani, I Dewa Ayu Sri; Febyanti, Putu Ayu; Wibawa, Gusti Putu Sutrisna
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 7 No 4 (2025): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.219

Abstract

Moringa (Moringa oleifera) leaves are widely recognized for their nutritional and medicinal value, making quality assessment crucial in ensuring their market and processing standards. Traditional manual classification of leaf quality is subjective, time-consuming, and prone to inconsistency. This study aims to develop an automated classification system for Moringa leaf quality using a Vision Transformer (ViT) model, a deep learning architecture that leverages self-attention mechanisms for image understanding. The dataset consists of six leaf quality categories (A–F), representing various conditions of color, texture, and defect severity. The ViT model was trained and evaluated using labeled image datasets with standard preprocessing and augmentation techniques to improve robustness. Experimental results show an overall accuracy of 56%, with class-specific performance indicating that the model achieved the highest recall for class D (1.00) and the highest precision for class F (0.74). Despite moderate performance, the results demonstrate the potential of ViT for complex agricultural image classification tasks, highlighting its capability to capture visual patterns in small. Future improvements may include larger datasets, fine-tuning with domain-specific pretraining, and hybrid transformer–CNN architectures to enhance model generalization and accuracy.
Co-Authors Febyanti, Putu Ayu Muhammad, Sholeh PUTU SUGIARTAWAN Saraswati, I Dewa Ayu Indah Wibawa, Gusti Putu Sutrisna