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All Journal MDP Student Conference Jurnal Penelitian Teknologi Informasi dan Sains
Russel Wijaya
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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Pengembangan UI/UX pada Aplikasi iDompet dengan Menggunakan Metode Design Thinking jonathan stanly; Hendra Nata Niko P; Dicko David K; Jeason Lie; Russel Wijaya; hafiz irsyad
MDP Student Conference Vol 1 No 1 (2022): The 1st MDP Student Conference 2022
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (647.79 KB)

Abstract

Abstrak: iDompet is a payment and transaction application. iDompet aims to make it easier for clients to process payments and remittances, both fellow users of the iDompet application as well as between banks and accounts. The Design Thinking method is a method that makes it easier to solve problems and provide new innovation breakthroughs. To get feedback and find out problems, research and testing processes are carried out, the use of the Design Thinking method is expected to make it easier for users when using the application so that it is more effective and efficient. After successfully finding and understanding every problem, a solution is obtained in the form of a UI/UX design from the iDompet application that has met the requirement criteria. Abstrak: iDompet merupakan aplikasi pembayaran dan transaksi. iDompet bertujuan untuk mempermudah client dalam memproses pembayaran dan pengiriman uang, baik sesama pengguna aplikasi iDompet maupun antar bank dan rekening. Metode Design Thinking merupakan metode yang mempermudah untuk menyelesaikan masalah dan memberikan terobosan inovasi baru. untuk mendapatkan feedback dan mengetahui permasalahan dilakukan proses research dan pengujian, penggunaan metode Design thinking diharapkan memudahkan pengguna saat menggunakan aplikasi sehingga lebih efektif dan efisiensi. setelah berhasil menemukan dan memahami setiap permasalahan yang didapatkan solusi berupa design UI/UX dari aplikasi iDompet yang telah memenuhi kriteria kebutuhan.
Klasifikasi Penyakit Daun Tomat Menggunakan MobileNetV3 Russel Wijaya; Nur Rachmat
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 2 (2026): Juni: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i2.4230

Abstract

Tomato (Solanum lycopersicum) is a high-value horticultural commodity in Indonesia, yet its cultivation is frequently disrupted by leaf diseases that are difficult to distinguish visually. Diseases such as Bacterial Spot, Early Blight, and Tomato Yellow Leaf Curl Virus often present overlapping visual symptoms, making early and accurate diagnosis a significant challenge for farmers. The manual identification methods currently in use are inefficient and error-prone, ultimately leading to reduced crop yield and quality. The general objective of this study is to develop software capable of automatically classifying tomato leaf diseases. Specifically, this research aims to implement the MobileNetV3 Small architecture based on Convolutional Neural Network (CNN) with ImageNet pre-trained weights to classify 10 types of tomato leaf diseases. The research methodology encompasses dataset collection from Kaggle comprising 10,000 images (1,000 per class), image pre-processing through resizing to 224x224 pixels, and normalization, as well as hyperparameter optimization (optimizer, learning rate, epoch, batch size) via scheduler. Model performance is evaluated using a confusion matrix encompassing accuracy, precision, recall, and F1-score.
Co-Authors Dicko David K Hafiz Irsyad Hendra Nata Niko P Jeason Lie jonathan stanly Nur Rachmat