Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Ilmiah Teknologi dan Komputer (JITTER)
Wiranatha, AA.Kt.Agung Cahyawan
Unknown Affiliation
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Aplikasi Yoga Surya Namaskar Sebagai Media Pendukung Kesehatan Fisik dan Mental Pelajar Dengan Fitur Augmented Reality Putra, Kadek Crisnanda Dika; Wiranatha, AA.Kt.Agung Cahyawan; Rusjayanthi, Ni Kadek Dwi
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 1 No 2 (2020): JITTER, Vol.1, No.2, December 2020
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.718 KB) | DOI: 10.24843/jitter.v1i2.69642

Abstract

Fitur augmented reality merupakan fitur yang dapat membawa gambar maya ke dalam realita, sehingga dapat mempermudah pekerjaan maupun menjadikan sebuah inovasi baru. Aplikasi Yoga Surya Namaskar dibuat dengan dilengkapi fitur augmented reality menjadikannya aplikasi yang dapat menarik minat pelajar untuk menjaga kebugaran diri dengan menerapkan Yoga Surya Namaskar. Aplikasi dibuat dengan markerless augmeneted reality dengan berbasis sistem Android. Pembuatan model 3D menggunakan auto desk maya, dengan plug-in Vuforia. Untuk pembuatan aplikasi Yoga Surya Namaskar digunakan Unity 3D. Aplikasi Yoga Surya Namaskar dapat menampilkan animasi 3D markerless dengan baik. Fitur training pada aplikasi dapat menampilkan timer dan estimasi jumlah kalori yang terbakar saat melakukan yoga. Aplikasi dapat berhasil difungsikan sesuai rancangan. Kata kunci: 3D, Markerless, Augmented Reality, Yoga Surya Namaskar
Scientific Paper Recommendation System: Application of Sentence Transformers and Cosine Similarity Using arXiv Data Putra, Ananda Pannadhika; Singgih Putri, Desy Purnami; Wiranatha, AA.Kt.Agung Cahyawan
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9766

Abstract

Searching for relevant scientific literature faces complex challenges due to the proliferation of academic publications. This research develops a semantic similarity-based scientific paper recommendation system by utilizing Sentence Transformer (all-MiniLM-L6-v2 model) and cosine similarity algorithm on arXiv dataset (15,504 papers in Computer Science). The system is implemented as a Streamlit-based interactive web application that accepts user queries and recommends related papers based on semantic similarity. Performance evaluation using Precision, Mean Average Precision (MAP), Mean Reciprocal Rank (MRR), and Normalized Discounted Cumulative Gain (NDCG) metrics showed that embedding text from the Introduction section without pre-processing yielded the best performance (NDCG: 0.7590; MAP: 0.6960; MRR: 0.7254), outperforming Abstract-based or text combination approaches. A user test of 45 respondents confirmed the effectiveness of the system: 95.5% expressed satisfaction with the relevance of the recommendations, and 93.3% confirmed a significant reduction in manual search time. The findings prove that retaining the raw text structure in the Introduction is optimal for semantic representation. Development suggestions include multidomain dataset expansion and transformer model optimization for accuracy improvement.
Co-Authors Desy Purnami Singgih Putri Putra, Ananda Pannadhika Putra, Kadek Crisnanda Dika Rusjayanthi, Ni Kadek Dwi