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Deteksi Jenis Jerawat Berbasis Android menggunakan Ensemble Deep Learning dengan Optimasi Layer Parsial
Aji Al Kautsar, Hanggoro
; Bismi, Waeisul
; Novianti, Deny
; Qomaruddin, Muhammad
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 2
(2025)
Accurate classification of acne types is essential for determining the appropriate treatment. This study developed an automatic detection system based on Android using an ensemble Deep Learning approach and partial layer optimization to address the visual similarity challenges among different acne types. MobileNet and EfficientNetB0 were used as base models, then combined using majority voting and weighted averaging techniques. The dataset used consisted of 6,875 acne images that underwent prepr...
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Perancangan Sistem Informasi berbasis Website Untuk Sosial commerce Rungkad (Ruang Karya Digital)
Marlina, Siti
; Bismi, Waeisul
; Agustin, Alviandi
; Bagus Virmansa, Muhammad Kiki
; Faqih, Sulaiman
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 1
(2025)
n the era of globalization and digitalization, information technology has become a vital component in various aspects of life, including the trade sector. Social commerce, which integrates social media into online buying and selling, has become an important innovation that builds interactions between sellers and buyers, providing significant opportunities for SMEs to enhance their competitiveness and expand their market reach. SMEs, which play a strategic role in Indonesia's economy, often face...
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Analisis Perbandingan Klasifikasi Citra Genus Panthera dengan Pendekatan Deep learning Model MobileNet
Bismi, Waeisul
; Novianti, Deny
; Qomaruddin, Muhammad
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6
, No 1
(2024)
Wildlife conservation is increasingly becoming a top priority as several species in the Panthera genus have experienced significant declines in their populations since the 1970s, due to illegal hunting activities, loss of natural habitat, and reduced prey. Their protection is therefore of paramount importance. In today's digital age, image processing and artificial intelligence (AI) technologies have changed the way we view and protect wildlife. In this context, the approach of using MobileNet m...
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Klasifikasi Citra Genus panthera Menggunakan Pendekatan Deep learning Berbasis Convolutional Neural network (CNN)
Bismi, Waeisul
; Qomaruddin, Muhammad
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 5
, No 2
(2023)
This research aims to develop an image classification method for the panthera genus using a deep learning approach based on Convolutional Neural network (CNN). The panthera genus includes large species such as tigers, lions, leopards, and jaguars, which share similarities in appearance but also differences in fur patterns, body size, and habitat. Image classification of the panthera genus is important in various applications, including wildlife conservation and biological research. In this study...
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