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PKM Penggunaan Teknologi Augmented Reality Pelajaran Biologi Untuk Meningkatkan Pemahaman Siswa SMA Christina Purnama Yanti; Ginantra, Ni Luh Wiwik Sri Rahayu; Theresia Hendrawati; Dewa Ayu Putri Wulandari
Darma Abdi Karya Vol. 3 No. 1 (2024): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v3i1.1972

Abstract

Biology is a science that studies everything about everyday life, such as living things, health, the environment, and biology can also be used to solve problems that occur in everyday life. One of the things that is discussed in biology is viruses. A virus is a living creature with parasitic properties, which means that the life of this living creature depends on other living creatures by infecting the cells of other living creatures. Studying biology at high school level is considered quite important because it is considered to be an opportunity for students to get to know themselves, the environment and the living creatures around them. Based on interviews conducted with Mr. Tisnawan as one of the biology subject teachers at SMA Negeri 8 Denpasar, the results showed that there are challenges in studying the structure and shape of viruses which can influence students' interest in learning, such as the abstract shape of viruses, lack of variation in learning media, and limited equipment and practical space such as microscopes and others. Therefore, the service team plans to introduce teachers and students to the use of Augmented Reality in learning media where the topic used is the structure and shape of viruses in class X high school material. Assistance to teachers and students in using Augmented Reality applications needs to be provided so that teachers and students can use them well. Apart from that, this assistance is also expected to increase teachers' digital literacy in using technology in learning.
Design Thinking Testing of AR/VR Application for Bali's Lontar Prasi Preservation Christina Purnama Yanti; I Gede Iwan Sudipa; Putu Wirayudi Aditama
Jurnal Multidisiplin Madani Vol. 3 No. 9 (2023): September, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v3i9.5744

Abstract

This study investigates the use of Design Thinking in the creation of Augmented Reality (AR) and Virtual Reality (VR) applications for the preservation of Bali's Lontar Prasi cultural heritage. As a piece of Indonesian cultural patrimony, Lontar Prasi necessitates a novel approach to its preservation in the digital age. This research identifies UI/UX issues of AR/VR applications based on user problems through the phases of Emphasis, Definition, Ideation, Prototype, and Test. Changes were made to the icon display, 3D character information, and UI positioning as a result. With an average score of 80 (Excellent) on the System Usability Scale (SUS), testing revealed a substantial improvement in user satisfaction. These results demonstrate that the Design Thinking methodology is effective for addressing UI/UX issues and enhancing the app's acceptability. In conclusion, this approach can serve as a foundation for future advancements in the preservation of cultural heritage using modern technology for digitized cultural heritage
ELECTRE-Based Decision Support Model for LPG Base Location Optimization Putri, Ida Ayu Putu Calista Kencana; Sudipa, I Gede Iwan; Ariana, Anak Agung Gede Bagus; Yanti, Christina Purnama; Ekayana, Anak Agung Gde
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15500

Abstract

The kerosene to LPG (Liquefied Petroleum Gas) 3 kg conversion program since 2007 has successfully improved household energy efficiency, but equitable access to bases in remote areas is still an obstacle. In Tabanan Regency, Bali, eight villages do not have access to 3 kg LPG bases, making it difficult for the community to obtain LPG at the Highest Retail Price (HET) and timely supply. This research develops a decision-making model using the ELECTRE method to recommend optimal base locations based on a case study of four villages: Pupuan Sawah, Dalang, Mundeh, and Belatungan. The model integrates 15 criteria including population density, infrastructure accessibility, existing base distance, and the presence of public facilities with a multi-stakeholder approach. The model is expected to be a tool for LPG agents and policy makers in determining the optimal base location and supporting equitable distribution of subsidized energy.
IndoBERT-Based Pediatric Disease Classification and Symptom-Based Traditional Medicine Recommendation from Lontar Usada Rare Winata, I Putu Erick Prawira; Sudipa, I Gede Iwan; Meinarni , Ni Putu Suci; Wulandari, Dewa Ayu Putri; Yanti, Christina Purnama
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15507

Abstract

This study aims to develop a Balinese traditional text-based pediatric disease classification model using a fine-tuned IndoBERT model on the Lontar Usada Rare dataset. The dataset used consists of 422 entries containing disease symptoms, disease types, medicinal ingredients, and treatment procedures obtained from transliteration of lontar manuscripts and interviews with traditional medicine experts. Pre-processing was done through case folding, cleansing, and normalization, followed by label encoding on 35 disease classes. The IndoBERT model was fine-tuned using the AdamW optimizer with a learning rate of 5e-5, batch size 8, and 15 epochs. Evaluation results showed the model was able to achieve 90.59% accuracy, 94.71% precision, 90.59% recall, and 90.99% F1-score, indicating excellent performance in understanding the linguistic context of traditional medical text. The developed recommendation system integrates model prediction with TF-IDF-based cosine similarity method to provide the most relevant treatment recommendations based on user symptom input. This research makes an important contribution to the digitization and preservation of Balinese traditional medical knowledge through the development of a structured and widely accessible digital knowledge base.