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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Pendidikan Terapan Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Journal of Deep Learning, Computer Vision and Digital Image Processing
Marwan Ramdhany Edy
Universitas Negeri Makassar
Humanities Computer Science & IT Education Engineering Social Sciences Other

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Improved Traffic Forecasting in Transportation Systems Using Deep Learning Algorithms with Tuning Parameters Marwan Ramdhany Edy
Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v4i2.746

Abstract

In this study, we evaluated the performance of two classification models, namely Random Forest and XGBoost, on a multi-class classification task. The evaluation results showed that both produced excellent accuracy, with XGBoost achieving an accuracy of 1.00 and Random Forest around 0.99. However, Random Forest requires special attention to improve recall in some classes. These results provide important insights in the selection of classification models that fit the needs of the task. In the context of multi-class classification tasks, model performance is highly relevant and needs to be carefully calculated.
Aplikasi Mobile dalam Meningkatkan Efektivitas Manajemen Keuangan Pribadi Marwan Ramdhany Edy; Hidayat Nurwahid; Muhammad Januar Anshari; Aswar; Muh Sahlan Syah
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

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

Abstract

This research aims to develop a FinanTrack mobile application that assists users in managing personal finances efficiently. This application is developed through several important stages, starting from needs analysis, software design with use case diagrams and data flow diagrams, and implementation using the Java programming language on Android Studio. The FinanTrack application has a main feature to record expenses and income, as well as a form to add new transaction data. Users can categorize transactions, view history, and monitor total finances in real- time. With this application, it is hoped that people can easily manage their personal finances through their smartphones, so as to improve financial literacy and help achieve better financial stability.
Co-Authors Abd Majid Ainun Mardiah Andi Baso Kaswar Andi Baso Kaswar Andi Dio Nurul Awalia Andi Nurul Izzah Armiana Armiana Aswar Eko prasetyo Elva Amalia Fadhlirrahman Baso Fadila Husnul Khatimah Fauziah Hidayat Nurwahid Kurnia Prima Putra M. Syahid Nur Wahid Muh Juharman Muh Sahlan Syah Muhammad Akbar Amir Muhammad Fajar B Muhammad Ilham Suherman Muhammad Januar Anshari Novita Nurhidayah Nur Fakhrunnisaa Nur Fakhrunnisaa Nurfaisa Riono Nurul Amanda Pratiwi Hasbullah Rafika Hutami Putri Rifaldy Alam Saputra Risha Febrianti S. N. Neyman S. Wahjuni Trisakti Akbar Tsabita Syalza Billa Wanda Hamidah Wilda Auliyah Gazali Zainab Zainab