Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal BIOTIK: Jurnal Ilmiah Biologi Teknologi dan Kependidikan Jurnal Teknologi Informasi
Juliwardi, Ilham
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Computer Science & IT Education

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

Found 2 Documents
Search

 1 
Penerapan CNN Arsitektur VGG16 untuk Deteksi Kesegaran Ikan Berdasarkan Citra Digital Suhendra, Rivansyah; Ayu, Ratih Sari; Qaisa, Rara Syifa; Juliwardi, Ilham; Astrianda, Nica; Arisna, Puput; Syahril, Alfis; Hasanah, Uswatun
Jurnal Teknologi Informasi Vol 4, No 1 (2025): Mei
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jti.v4i1.12301

Abstract

Kesegaran ikan merupakan indikator utama dalam menentukan kualitas dan keamanan produk perikanan. Penilaian secara manual masih bersifat subjektif dan memerlukan keahlian khusus. Penelitian ini bertujuan untuk mengembangkan sistem klasifikasi tingkat kesegaran ikan secara otomatis menggunakan algoritma Convolutional Neural Network (CNN) dengan arsitektur VGG16. Data berupa 1.378 citra mata ikan dikumpulkan dari pasar ikan di Meulaboh dan Blangpidie, kemudian melalui proses preprocessing menggunakan teknik contrast stretching. Dataset dibagi menjadi data latih (80%) dan data validasi (20%). Proses pelatihan dilakukan dengan menerapkan augmentasi dan normalisasi data guna meningkatkan kemampuan generalisasi model. Hasil pengujian menunjukkan bahwa model mampu mengklasifikasikan citra dengan akurasi, precision, recall, dan F1-score sebesar 100%. Analisis confusion matrix menunjukkan tidak adanya kesalahan klasifikasi pada data validasi. Temuan ini menunjukkan bahwa citra mata ikan merupakan fitur visual yang efektif untuk mengidentifikasi tingkat kesegaran. Sistem yang dikembangkan memiliki potensi untuk diimplementasikan dalam proses sortir dan kontrol mutu hasil perikanan. Penelitian selanjutnya disarankan untuk memperluas cakupan jenis ikan dan pengujian dalam kondisi lingkungan nyata guna meningkatkan robustitas model.
A DIGITAL INTERACTIVE MODULE-BASED ON PROBLEM LEARNING IN ENVIRONMENTAL POLLUTION Ulhaq, Riza; Juliwardi, Ilham
Biotik Vol 11 No 2 (2023): JURNAL BIOTIK
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/biotik.v11i2.19875

Abstract

The background of this research is the lack of innovative digital technology-based learning media. There are not many digital interactive modules that have been developed to support learning. The limited availability of digital interactive modules can limit the use of technology in learning and hinder the achievement of learning goals in the era of Industrial Revolution 4.0. For this reason, it is necessary to develop digital-based interactive modules that provide opportunities for students to discover for themselves the concepts they are studying. Learners become more active and independently build knowledge. Research and development used the Borg and Gall model, which consists of product development, product validation, design revision, testing, and product revision. The research instrument consisted of a module validation questionnaire (content and media) and a response questionnaire. Module validation involves lectures at Teuku Umar University who are experts in their fields as content and media expert. The experts validation results obtained a combined score of 87.5%, indicating that the module can be used without repair. The product field test was carried out in the odd semester of the 2023–2024 academic year with 60 students at SMP Negeri 1 Aceh Barat. Field test results showed that 91% of students gave positive responses to the module. The development of digital-based interactive problem-based learning modules meets the requirements, can be used to facilitate active, creative learning, leads to the development of students' skills independently, and is relevant to technological developments.
Co-Authors Arisna, Puput Ayu, Ratih Sari Nica Astrianda Qaisa, Rara Syifa riza ulhaq Suhendra, Rivansyah Syahril, Alfis Uswatun Hasanah