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All Journal Jurnal Teknik dan Science (JTS)
Kuwat Setiyanto
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Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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PENERAPAN ANALYTICAL HIERARCHY PROCESS DALAM WEBSITE PEMILIHAN SMARTPHONE XIAOMI Kuwat Setiyanto; Dimas Rizki Dwiyanto
Jurnal Teknik dan Science Vol. 2 No. 3 (2023): Oktober : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v2i3.1201

Abstract

A smartphone is a communication tool that has a multitude of features such as communicating, playing games, photography and so on, this tool has become one of human needs in this digital era. Because of this, many people want to have their dream smartphone. But day by day there are more and more variations, especially many brands competing to be the cheapest with complete features, one of which is the Xiaomi brand. This makes potential buyers confused about choosing a smartphone that suits their needs. A Website-based Decision Support System in Smartphone Selection using the Analytical Hierarchy Process method was created to help find a cellphone that suits the buyer's wishes. In order to choose the right recommendation according to smartphone criteria that suits the buyer's needs,
PEMBUATAN WEB MARTABAK BANGKA QUM MENGGUNAKAN PHP DAN MYSQL Kuwat Setiyanto; Yoga Aprianto
Jurnal Teknik dan Science Vol. 3 No. 2 (2024): Juni : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v3i2.1552

Abstract

Creating the Bangka QUM Martabak Web using PHP and MySQL as an effort to utilize technology to increase efficiency and convenience in the online martabak ordering process. This research includes developing a website that is integrated with a MySQL database to store and manage ordering information. Customers can explore the martabak menu, select the desired variant, and complete the ordering process easily. In the development process, the PHP programming method is used to design a responsive and dynamic user interface. A MySQL database is used to store order information, including customer details, type of martabak selected, and order status, enabling efficient management and tracking of order history. The Martabak Bangka QUM website aims to provide a pleasant and practical shopping experience for customers. With the online ordering system, it is hoped that it can increase business competitiveness and provide added value in providing better service to customers. 
ANALISIS PERBANDINGAN HASIL KLASIFIKASI JENIS PENYAKIT TANAMAN TOMAT MENGGUNAKAN ARSITEKTUR MOBILENET, DENSENET121, DAN XCEPTION Kuwat Setiyanto; Michael Bolang
Jurnal Teknik dan Science Vol. 3 No. 3 (2024): Oktober: Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v3i3.1898

Abstract

Machine learning can be applied in various needs, such as image classification. Plant disease classification is essential and significantly supports the agricultural sector in this modern era. With an application capable of classifying diseases in crops, farmers can accurately identify the diseases affecting their harvest and address them more efficiently and effectively compared to traditional methods, which can be more time-consuming. This research aims to determine the best TensorFlow architecture among the three architectures used in this study, namely MobileNet, DenseNet121, and Xception, to classify 9 types of tomato plant diseases and 1 healthy tomato plant. The study concludes that DenseNet121 is the best architecture for classifying the 9 types of tomato plant diseases and 1 healthy tomato plant. During testing, the DenseNet121 model achieved an accuracy, precision, recall, and F-1 score of approximately 0.987 or 98.7%. Xception ranked second with all four metrics scoring around 0.986 or 98.6%, while MobileNet ranked last with metrics scoring approximately 0.973 or 97.3%.
Co-Authors Dimas Rizki Dwiyanto Michael Bolang Yoga Aprianto