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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains Switch: Jurnal Sains dan Teknologi Informasi
Januardy Ahda Setia Murad
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Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Literature Review: Penggunaan CNN dalam Klasifikasi Penyakit pada Tanaman Buah Apel Muhamad Choirul Anwar; Januardy Ahda Setia Murad; Ridwan Firdaus Haryono; Saddam Alifio
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 10 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This study focuses on the classification of diseases in apple plants using deep learning methods, particularly Convolutional Neural Networks (CNN). A primary challenge in agricultural management is the early detection of plant diseases, as failure to identify them promptly can lead to significant losses in yield. In this study, various CNN methods were explored to enhance the accuracy of disease detection and computational efficiency. Data were collected from relevant scientific journals, and a literature review was conducted on five main journals that implemented CNN techniques and hybrid methods. The research findings indicate that data preprocessing techniques, such as data augmentation and image segmentation, play a critical role in improving model performance. Hybrid models that combine CNN with other methods, such as RNN, also showed improvements in accuracy and real-time detection capabilities. In conclusion, the implementation of CNN methods tailored to specific needs, combined with appropriate data preprocessing, can provide effective solutions for the rapid and accurate detection and classification of plant diseases.
Pengembangan Sistem Kasir Berbasis Web menggunakan Model Prototype pada Usaha Laundry Indimo Azza untuk Meningkatkan Efisiensi Operasional dan Pelayanan Satria Andikah Putra; Muhammad Agung Zikri; Januardy Ahda Setia Murad; Wasis Haryono
Switch : Jurnal Sains dan Teknologi Informasi Vol. 3 No. 4 (2025): Juli: Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v3i4.532

Abstract

The laundry business is rapidly growing in urban society, especially in areas with a high activity rate. One of the main challenges is the manual transaction recording process, which causes inefficiency and potential errors. This research aims to design and develop a web-based cashier system for Laundry Indimo Azza using the Prototype method. The system is designed to support customer data recording, automatic service fee calculation, service and employee management, and structured transaction and financial reporting. The Prototype method was chosen due to its ability to adapt to user needs through design and evaluation iterations. Testing results using white box and black box methods show that the system works according to expectations, increasing operational efficiency and speeding up customer service.
Co-Authors Haryono, Wasis Muhamad Choirul Anwar Muhammad Agung Zikri Ridwan Firdaus Haryono Saddam Alifio Satria Andikah Putra