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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains Switch: Jurnal Sains dan Teknologi Informasi
Satria Andikah Putra
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Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Klasifikasi Penyakit Tanaman Tebu dengan Pendekatan Support Vector Machine All Iqbar Arifin; Muhammad Alditho Firlata; Aziz Arrasyid; Satria Andikah Putra
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 proposes the use of the Support Vector Machine (SVM) method as an approach to classifying sugarcane plant diseases. This developing research requires an effective method to detect and classify sugarcane plant diseases so that treatment can be carried out appropriately. This study proposes the use of the Support Vector Machine (SVM) method as an approach to classifying sugarcane plant diseases. SVM was chosen because of its high ability to distinguish data from various classes even in complex dimensions, as well as its reliability in handling small datasets with a good level of accuracy. The data in this study were obtained from images of sugarcane leaves that had been classified into several disease categories. These images were then processed through a feature extraction process that included shape, texture, and color as the main parameters. The experimental results showed that the SVM approach could achieve a high level of accuracy in classifying sugarcane plant diseases. These findings indicate that SVM is an effective and efficient method for identifying diseases in sugarcane plants, and has the potential to be applied as a decision support system in sugarcane plantation management.
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 All Iqbar Arifin Aziz Arrasyid Haryono, Wasis Januardy Ahda Setia Murad Muhammad Agung Zikri Muhammad Alditho Firlata