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Journal : Journal of Innovation and Computer Science

Design of a Free Nutritious Food Menu Preparation System with Interactive Nutrition Calculation Simulation Kusuma, Muhammad Romadhona
Journal of Innovation and Computer Science Vol. 1 No. 2 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v1i2.94

Abstract

The government's preparation of free nutritious food menus represents a strategic initiative to improve public health, particularly for vulnerable populations such as underprivileged families. This study presents a web-based simulation system designed to assist the government in planning menus with processes that are not only quantitatively adequate but also aligned with balanced nutritional standards. The platform enables users to select food ingredients based on specific nutritional targets, including calories, carbohydrates, protein, and fat. To ensure that each stage—ingredient selection, nutrition calculation, validation, and result presentation—proceeds in a structured and efficient sequence, the system adopts a Finite State Automata (FSA) approach. Implementation results demonstrate that the system can accurately compute and visualize nutritional values using interactive pie charts, helping users evaluate the nutritional balance of selected menus. The key contribution of this study lies in integrating the FSA method to structure the menu preparation process, combined with interactive data visualization techniques to enhance user comprehension. This approach aims to improve public nutritional literacy and ensure that distributed meals deliver optimal health benefits.
Classification of Software Defect Prediction for Bisnissyariah.co.id Media Portal using Machine Learning Technology Ismaya, Fikri; Gata, Windu; Kusuma, Muhammad Romadhona; Saputra, Dedi Dwi; Kurniawan, Sigit
Journal of Innovation and Computer Science Vol. 1 No. 2 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v1i2.96

Abstract

This research was conducted to develop software defect prediction using a dataset from Bisnissyariah, a forum website with up-to-date news related to Islamic business. The study employed a straightforward research design to ensure easy comprehension for the readers. Machine learning models, including Random Forest, Gradient Boosting, and Support Vector Machine, were utilized in this research—the application of these models aimed to evaluate and compare the accuracy of software defect predictions. The research findings indicated that the Random Forest model outperformed the others, achieving an accuracy rate of 96.7%. This result shows the high effectiveness of the Random Forest model in predicting software defects based on data from Bisnissyariah. In addition, these findings significantly impact the development of more reliable and high-quality software, particularly in Islamic business. This research makes a valuable contribution to enhancing our understanding of software defect prediction using data from sources like Bisnissyariah.
Design of a User-Friendly Financial Tracker for Daily Household Spending Based on JavaScript and Bootstrap Ramadhania, Dina; Kusuma, Muhammad Romadhona
Journal of Innovation and Computer Science Vol. 1 No. 2 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v1i2.99

Abstract

In today's digital era, recording expenses is crucial to effective financial management, especially for individuals and Micro, Small, and Medium Enterprises (MSMEs). This study aims to design and implement a web-based financial system using JavaScript and Bootstrap 5 that can record transactions dynamically and in real time. The system is designed to be lightweight, responsive, and easy to use. Thus, it is accessible to users with varying levels of technological literacy. Evaluation results find that the system records expenses accurately and receives positive feedback from users regarding its usability. In particular the system is especially suitable for household users, particularly individuals who manage their daily spending routines at home.