Article Per Year (5 Year)
p-Index From 2021 - 2026
3.416
P-Index
This Author published in this journals
All Journal Jurnal Sains Peternakan Jurnal Rekayasa Mesin Jurnal FATEKSA : Jurnal Teknologi dan Rekayasa Jurnal Teknologi dan Manajemen Industri Manajemen Agribisnis: Jurnal Agribisnis Jurnal Teknik Industri Terintegrasi (JUTIN) Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Promotif Preventif Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Ekonomi, Akutansi dan Manajemen Nusantara Journal of Artificial Intelligence in Architecture
Dharsono, Wardhana Wahyu
Universitas Satya Wiyata Mandala
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Veterinary Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Klasifikasi Jenis Burung Cendrawasih Menggunakan Convolutional Neural Network (CNN) Berdasarkan Citra Rooy Marthen Thaniket; Musa Henri Janto Rahanra; Wardhana Wahyu Dharsono
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 8 No 1 (2025): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v8i1.280

Abstract

Birds of paradise are iconic symbols of Indonesia's biodiversity, especially in Papua, with more than 40 recorded species. Manual classification requires specific expertise and is time-consuming. This study aims to develop an automated classification system for birds of paradise using Convolutional Neural Network (CNN), specifically the MobileNetV2 architecture known for its efficiency in image processing. The dataset used comprises three species: Cicinnurus regius, Paradisaea apoda, and Paradisaea rubra. The preprocessing steps include image augmentation, resizing, and normalization. The training results show an accuracy of 98.49% and validation accuracy of 97.50%. Evaluation using a confusion matrix reveals high accuracy and minimal misclassification. This model shows great potential for use in conservation applications and automatic bird species identification
Co-Authors Ali Waromi Ali Waromi Amos Pundu Aris Widodo Bintoro, Agustinus Gatot Bogar, Deby Siska Christian P. Raymond Deby S. Bogar Ellysa Nursanti Ellysa Nursati Erol L. Tokoro Errol Lesly Tokoro Hans F. Liborang Hermanus Jimy Suripatty Johanis Manuel Ramandey Julianus Hutabarat Liborang, Hans F Liborang, Hans Frits Matius Kendenan Mery Christiana S Mohamad, Amna Musa Henri Janto Rahanra Nugroho Mamayu Hayuning Bawono Nugroho, Agung Pamungkas, Eliasar Margoadi Paulus Wisnu Anggoro Petrus Izaak Suripatty Putra Irian, Ananda T. Rahanra, Nicodemus Ramandey , Johanis M Ramandey, Johanis Manuel Riky F. Yeninar Rio Banggo Rooy Marthen Thaniket Simanjuntak, Mery Christina Sthevwn Wakey Suryadi Suryadi , Suryadi Suryadi . Suryadi . . Suryadi Suryadi Titaley, Everly Deroth Aryoko Tokoro, Errol Lesly Trijaya Gane Putra Waromi, Ali