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Pendekatan Decision Tree Untuk Klasifikasi Penyakit Pada Tanaman Kopi Altaf Ghani Subekti; Alvin Diaz Setiadi; Muhammad Agung Zikri; Ryandanu Wisnu Pradipta
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 10 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Coffee plants are an important commodity in the agricultural sector but are vulnerable to various diseases that can affect productivity and crop quality. To quickly and accurately identify and classify diseases in coffee plants, a technology-based approach is needed to assist farmers in decision-making. This study aims to evaluate the use of the Decision Tree algorithm as a classification method in detecting diseases in coffee plants. Through a Systematic Literature Review (SLR), we collected data from five relevant journals and analyzed the effectiveness of Decision Tree in the disease classification process. The results show that the Decision Tree approach can achieve high accuracy in identifying coffee plant diseases and is easy to implement in the field. This research is expected to provide further insights for the development of decision support systems to help coffee farmers improve plant health and productivity.
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.