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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Minfo Polgan (JMP) Jurnal Sistem Informasi dan Teknologi Informasi
Sri Kuswayati
Universitas Teknologi Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Library & Information Science Mathematics Social Sciences

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Prototype of Sales Information System Based on Educational Book Consultan Data and Senior Educational Book Consultant Sri Kuswayati; Muchamad Rusdan
JUSTINFO | Jurnal Sistem Informasi dan Teknologi Informasi Vol. 1 No. 2 (2023): June 2024
Publisher : LP2M Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/justinfo.vol1.iss2.2023.1682

Abstract

The purpose of this study is to provide a solution to the problem of the risk of loss of sales data and EBC personal data and the possibility of data duplication that results in incompatible data points for each EBC, faster data retrieval than before the manual becomes computerized, simplifies data processing and means for leaders to get real-time sales information. The study was conducted with a qualitative approach that emphasizes a deep understanding of a particular problem. This study chooses the type of research design with primary and secondary data. Primary data sources were obtained from observations on KudeStation. Secondary data sources were obtained from literature studies related to the research conducted. The system development method used is the prototype method. The results showed that the problem of the risk of losing sales data and EBC personal data can be solved by using data stored in the database. With the application information system, data search becomes faster than before (manual) compared to after computerized with the data search feature. They are simplifying data processing by creating a sales information system. Provide a means for leaders to get real-time sales information by selecting a web-based sales information system so that after hosting this sales information system, all data can be accessed from anywhere in real-time.
AIoT-Enabled Automatic Waste Sorting System with Real-Time WhatsApp Notifications Muchamad Rusdan; Sri Kuswayati
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 3, August 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i3.2593

Abstract

The waste management crisis, particularly in educational institutions, requires innovative solutions that combine artificial intelligence and automation. This research develops and evaluates an automated waste sorting system based on the Artificial Intelligence of Things (AIoT), integrated with WhatsApp notifications. The system utilizes the EfficientNet-B0 deep learning model optimized through transfer learning and runs on a Raspberry Pi 4 edge device to classify waste into five categories: plastic, paper, metal, glass, and organic, in real time. The classification results are translated into physical actions by a servo actuator mechanism, while ultrasonic sensors monitor the trash bin capacity. The real-time notification system, implemented through the WhatsApp API, sends alerts to administrators. A 30-day evaluation conducted on campus showed that the system achieved a classification accuracy of 92.3% with an inference latency of 1.8 seconds. The mechanical system successfully sorted waste with a 94.5% success rate, while WhatsApp notifications achieved a 99.1% delivery rate, with an average administrator response time of 8.2 minutes during operational hours. A comparative analysis demonstrated that the system increased sorting efficiency by 87% and reduced operational costs by 45% compared with manual waste sorting methods. These findings conclude that the proposed integration of edge AI, mechanical automation, and WhatsApp notifications provides a smart waste management solution that is not only effective and real-time but also practical, economical, and sustainable for wider implementation.
Role of ChatGPT as an Innovative Tool for Data Analysis and Market Trend Prediction in Business Information Systems Muhamad Malik Mutoffar; Sri Kuswayati; Tarsinah Sumarni; Rimba Krisnha Sukma Dewi; Erni Nurjanah
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

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

Abstract

The advancement of information and communication technology has fundamentally transformed the business landscape. Businesses are increasingly reliant on data to make effective, market-oriented decisions. Within the context of business information systems, ChatGPT can be utilized as an innovative tool to optimize data analysis processes, provide deeper market insights, and even make predictions about future trends. The aim of this research is to explore and test the potential of ChatGPT as an innovative tool in analyzing data and predicting market trends within the context of business information systems. This research employs a literature review approach with a qualitative methodology and descriptive analysis. Data were obtained from Google Scholar for the period of 2003-2024. The study results indicate that in an era where data has become the most valuable asset for companies, the ability to analyze and understand data effectively is key to success. In this context, the role of ChatGPT as an innovative tool for data analysis and market trend prediction in business information systems becomes highly significant. ChatGPT possesses the capability to comprehend and process human language with a high level of complexity, thus enabling it to harness data in various beneficial ways for companies.
Co-Authors Erni Nurjanah Mutoffar, Muhamad Malik Rimba Krisnha Sukma Dewi Rusdan, Muchamad Tarsinah Sumarni