Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal SUTASOMA KOMTEKS: Komputer dan Teknologi Sains
Ni Wayan Yulya Wiani
Institut Teknologi dan Kesehatan Bali
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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

Found 2 Documents
Search

 1 
KLASIFIKASI SAMPAH NON-ORGANIK MENGGUNAKAN ARSITEKTUR VGG-16, RESNET50 DAN DENSENET121 Anak Agung Candra Widyaningsih; Ni Wayan Yulya Wiani; I Nyoman Saputra Wahyu Wijaya
KOMTEKS Vol 5, No 1 (2026)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/komteks.v5i1.3000

Abstract

Pertumbuhan populasi global memicu lonjakan produksi sampah padat, termasuk di Indonesia di mana sebagian besar sampah berakhir di Tempat Pembuangan Akhir (TPA) tanpa melalui proses pemilahan yang memadai. Kurangnya pemahaman dan kesadaran masyarakat terkait klasifikasi sampah, khususnya sampah non-organik, mengakibatkan pengelolaan yang tidak optimal serta memicu dampak negatif terhadap lingkungan dan kesehatan masyarakat. Seiring dengan kemajuan teknologi kecerdasan buatan, penelitian ini mengusulkan solusi klasifikasi sampah otomatis melalui sistem deteksi cerdas berantarmuka visual berbasis Deep Learning. Penelitian ini membandingkan kinerja tiga arsitektur Convolutional Neural Network (CNN), yaitu VGG-16, ResNet50, dan DenseNet121, dengan mengimplementasikan teknik fine-tuning guna menghasilkan model klasifikasi sampah non-organik yang paling optimal. Hasil penelitian menunjukkan bahwa arsitektur DenseNet121 merupakan model yang paling unggul dengan tingkat akurasi validasi mencapai 93%. Keterbatasan kuantitas dan variasi dataset teridentifikasi sebagai faktor yang membuat arsitektur lainnya menjadi kurang optimal. Implementasi sistem ini diharapkan dapat diaplikasikan pada tempat sampah umum maupun fasilitas industri guna meningkatkan akurasi pemilahan sampah, menekan biaya operasional, serta mendukung pembangunan berkelanjutan.
PERANCANGAN UI/UX APLIKASI KAMUS BAHASA ISYARAT BERBASIS MOBILE DENGAN PENGUJIAN USABILITY MENGGUNAKAN SYSTEM USABILITY SCALE (SUS) Agung Ukki Galih Cahyaningsih; Gede Aditya Pratama; Ni Wayan Yulya Wiani
Jurnal SUTASOMA (Science Teknologi Sosial Humaniora) Vol 4 No 2 (2026): Juni 2026
Publisher : Universitas Tabanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58878/sutasoma.v4i2.460

Abstract

The development of mobile technology provides opportunities for creating more practical and interactive learning media, including sign language learning. However, the currently available sign language learning media are still limited and less effective, causing the general public to experience difficulties in understanding sign language. Based on observations and interviews conducted at several Special Schools (SLB), it was found that the sign language learning process still uses conventional methods such as guidebooks and direct practice between teachers and students. Therefore, this study aims to design the User Interface (UI) and User Experience (UX) of a mobile-based Sign Language. Dictionary application that is easy to use and capable of providing a good user experience. The methods used in this study are User Centered Design (UCD) for the UI/UX design process and System Usability Scale (SUS) for usability testing. Data collection was carried out through observation, interviews, and literature studies. The application prototype was designed using Figma with several main features such as vocabulary search, sign language categories, visual details of sign language movements, and a favorite feature. Usability testing was conducted on 10 respondents consisting of 5 teachers and 5 students from Special Schools (SLB). Based on the results of testing using the SUS method, the application obtained an average score of 90.25, which falls into the Excellent category and is included in the Acceptable level. These results indicate that the application has a very good usability level and is well accepted by users. Therefore, the designed mobile-based Sign Language Dictionary application is expected to become an effective and interactive learning medium and help improve communication between deaf individuals and the general public.
Co-Authors Agung Ukki Galih Cahyaningsih Anak Agung Candra Widyaningsih Gede Aditya Pratama I Nyoman Saputra Wahyu Wijaya