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All Journal Jurnal Manajemen Informatika JUKI : Jurnal Komputer dan Informatika
Anshori, Muhammad Iqbal
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Computer Science & IT

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Klasifikasi Jenis Jerawat Secara Otomatis Dengan Convolutional Neural Network Menggunakan Arsitektur Resnet-50 Anshori, Muhammad Iqbal; Zafar Sidiq, Muhammad Ali; Yaqin, Rifki Ainul; Prasetyo Agung, Ignatius Wiseto
Jurnal Manajemen Informatika JAMIKA Vol 15 No 1 (2025): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jamika.v15i1.13712

Abstract

Acne is a common skin problem that requires different treatments based on its type, such as blackheads, conglobata, and papulopustular. This research develops an automatic acne type classification system using deep learning-based Residual Network (ResNet-50) architecture. With its 50 layers, ResNet-50 is effective in image classification. The objective of of this research is to classify the type of acne from skin images on the face, so that it can help diagnosis and treatment. face, so that it can help diagnosis and treatment. The method used in this research includes several main stages, namely the collection of the dataset, model training using CNN with ResNet-50 architecture, model testing, and performance evaluation. model, and performance evaluation. The dataset was obtained from Roboflow, consisting of three classes: acne-comedonica, acne-conglobata, and acne-papulopustulosa. The process involves image preprocessing, data augmentation, and model parameter adjustment, including Adam's dropout and optimizer techniques. The model can achieve 98.35% accuracy with loss of 0.0489 and the highest validation accuracy of 92.86% with a validation loss of 0.1976. In addition, confusion matrix analysis shows an accuracy result of 93%, which indicates the performance of the model in distinguishing between acne classes effectively. These results show that the model is effective in classifying the types of acne and can have a significant impact in assisting a more accurate and faster diagnosis. more accurate and quicker diagnosis.
Penerapan Arsitektur Monolitik Pada Aplikasi Jasa Service Online Tekku Berbasis Web Sidiq, Muhammad Ali Zafar; Anshori, Muhammad Iqbal; Yaqin, Rifki Ainul
JUKI : Jurnal Komputer dan Informatika Vol. 6 No. 1 (2024): JUKI : Jurnal Komputer dan Informatika, Edisi Mei 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v6i1.418

Abstract

This article discusses the application of monolithic architecture in Tekku web-based online service application. The research uses the System Development Life Cycle (SDLC) method to analyze, design, implement, test, and maintain the application. The results include key features such as register, login, technician search, booking, payment, and service status. Testing was conducted using the black-box method to test the functionality of the program, with positive results on the login, logout, accept order, and update service status features. The advantages of monolithic architecture include ease of development and good performance, but the disadvantages are difficulty in developing complex features and difficult scalability. A maintenance phase is conducted to receive feedback and errors from users.
Co-Authors Prasetyo Agung, Ignatius Wiseto Sidiq, Muhammad Ali Zafar Yaqin, Rifki Ainul Zafar Sidiq, Muhammad Ali