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All Journal Journal of Applied Science, Technology & Humanities
Fiona Kharismatunnisaa
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Making a Mobile-Based Social Media Information System for Environmentalists with Flutter and AWS Mohamad Alvin Renaldi; Riyo Putra Syam Satria; Nanda Octavia; Muhammad Danang Mukti Darmawan; Ivan De Nerol; Firdayanti; Fiqri Nurfadillah; Fiona Kharismatunnisaa; Ester Angeline; Yourdan Saputra
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 1 (2024): January 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/73a97b15

Abstract

This research explores an effective role in environmental conservation through technological innovation. This study aims to design and develop a mobile-based social media application by utilizing Flutter technology and AWS architecture. The research focuses on managing user data securely and efficiently through AWS services. This research uses an applied method based on the Scrum framework, emphasizing technology integration for environmental preservation and AWS implementation for data security. The results showed successful application development in line with the company's environmental sustainability mission. The data management system ensures safe and efficient handling of user information. The study concludes with a summary of findings, emphasizing the positive impact of technology on environmental initiatives.
IoT-Based Barcode Scanning System for Production and Warehouse Management Ivan De Nerol; Riyo Putra Syam Satria; Rafi Rasyid Parmana; Nanda Octavia; Muhammad Danang Mukti Darmawan; Mohamad Mohamad Alvin Renaldi; Firdayanti; Fiqri Nurfadillah; Fiona Kharismatunnisaa; Ester Angeline; Dhafa Kamil; Yourdan Saputra
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 1 (2024): January 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/0zv1h756

Abstract

This project aims to develop an IoT-based barcode scanning system using an ESP32 microcontroller and a GM-65 barcode reader for efficient production and warehouse management. The system facilitates automated and accurate barcode scanning, with the collected data transmitted to a web-based platform in real-time. The web interface provides users with comprehensive insights into production quantities and warehouse status, generating a detailed journal for traceability and accountability. This innovative solution offers businesses a streamlined approach to monitor and record production activities, ultimately optimizing the overall efficiency of production and warehouse management processes.
Integrated Face Recognition and IoT-Based Electronic Equipment Management System Firdayanti Firdayanti; Riyo Putra Syam Satria; Nanda Octavia; Muhammad Danang Mukti Darmawan; Mohamad Alvin Renaldi; Ivan De Nerol; Fiqri Nurfadillah; Fiona Kharismatunnisaa; Ester Angeline; Yourdan Saputra
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 1 (2024): January 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/k4rv4267

Abstract

This research explores the development of an Integrated Face Recognition and IoT-Based Electronic Equipment Management System, aiming to enhance security and efficiency in equipment lending processes. Utilizing face recognition technology integrated with IoT, the system is designed to automate and secure the return of borrowed electronic equipment. The methodology includes a detailed study of existing management practices, development of a prototype system, and analysis of its effectiveness in a real-world setting. Results indicate a significant improvement in the management and security of equipment lending. The system demonstrates potential for broader application in similar contexts.
Analysis of Google Play Store Apps Data Using Tableau Data Visualization Application Fiona Kharismatunnisaa; Yourdan Saputra
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 3 (2024): June 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/fct2yw28

Abstract

This research aims to enhance understanding of big data management and processing. One of the challenges faced is the complexity and large volume of data, which requires effective tools and techniques for analysis and visualization. The objective of this study is to analyze Google Play Store app data based on categories and ratings, and to visualize the results using Tableau. The research method employs a quantitative approach with a framework that includes problem formulation, data collection from the Google Play Store Apps database obtained from kaggle.com, data processing, and analysis using Tableau. The results of the study indicate that the use of data visualization in the form of management graphics, such as horizontal bars and treemaps, is highly effective in identifying the comparison of the number of applications based on categories and ratings. These visualizations facilitate understanding the distribution and trends of applications on the Google Play Store. In conclusion, this research demonstrates that data visualization with Tableau can optimize big data processing and provide valuable insights into the distribution of app categories and ratings on the Google Play Store. These findings underscore the importance of using visualization tools in big data analysis to enhance understanding and improve decision-making.
Co-Authors Dhafa Kamil Ester Angeline Fiqri Nurfadillah Firdayanti Firdayanti Firdayanti Ivan De Nerol Ivan De Nerol Mohamad Alvin Renaldi Mohamad Mohamad Alvin Renaldi Muhammad Danang Mukti Darmawan Nanda Octavia Rafi Rasyid Parmana Riyo Putra Syam Satria Yourdan Saputra