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All Journal JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Kecerdasan Buatan dan Teknologi Informasi
Sultan Imam Fajri
Universitas Indo Global Mandiri
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Design of an Intelligent Computing-based Information System for Automated Decision Making Febri Pratama; Terttia Avini; Irfan Saputra; Melinda Kurnia Putri; Sultan Imam Fajri
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 2 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v9i2.2

Abstract

The rapid growth of information technology has increased the need for intelligent computing-based information systems across sectors, such as business, education, and government, to facilitate quick and accurate decision-making. Previous research primarily focused on data analysis without a seamless integration for automated decision support. This study aims to bridge this gap by designing an information system that leverages machine learning algorithms for automated decision-making. The system incorporates artificial intelligence and big data processing to provide accurate recommendations based on historical and real-time data patterns. Key processes include identifying user needs, selecting suitable algorithms, developing predictive models, and integrating them into a user-friendly, web-based platform. Results indicate that the intelligent system significantly enhances decision-making speed and accuracy, particularly in scenarios demanding real-time analysis. Tests with decision trees and neural network algorithms demonstrate the system's reliability and adaptability to various data types, supporting consistent, data-driven outcomes. This research concludes by highlighting the system's potential to address complex data challenges, enabling efficient decision-making in dynamic environments.
Strategy to Improve Operational Performance Efficiency through the Implementation of Management Information System Nining Ariati; Febri Pratama; Irfan Saputra; Melinda Kurnia Putri; Sultan Imam Fajri
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.1

Abstract

The rapid advancement of information technology has encouraged many companies to adopt Management Information Systems (MIS) to enhance operational performance. However, a significant number of organizations continue to experience suboptimal results due to inadequate employee training, inconsistent system maintenance, and weak managerial support. This indicates a critical gap between MIS implementation and its expected benefits, particularly in improving operational efficiency. This study aims to bridge that gap by investigating the impact of MIS implementation on operational performance and identifying key success factors that influence its effectiveness. Using a quantitative approach, the research involved a case study in a medium-sized manufacturing company, with data collected from 100 respondents across operational-related depart-ments through a structured questionnaire. The findings show that effective MIS implementation contributes substantially to operational efficiency by streamlining workflows, minimizing processing time, and enhancing resource allocation. Furthermore, success is strongly associated with comprehensive user training, consistent system maintenance, and committed managerial support. These findings offer practical insights for organizations seeking to maximize the benefits of MIS and can serve as strategic references for improving operational performance through targeted system implementation efforts.
VEHICLE REPAIR MONITORING INFORMATION SYSTEM FOR OPERATIONAL VEHICLES AT PT SU Sultan Imam Fajri; Darius Antoni; Evi Yulianti
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 2 (2026): May 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i2.474

Abstract

Rapid developments in information technology have encouraged companies to improve operational efficiency through the implementation of integrated information systems. In transportation and logistics companies, vehicle maintenance management plays an important role in supporting operational continuity. PT SU currently still uses Microsoft Excel to record and monitor vehicle repairs, resulting in several problems such as data duplication, delays in reporting, difficulties in monitoring repair progress, and the risk of data loss. Therefore, this study aims to design and develop a web-based operational vehicle repair monitoring information system using the Web Engineering method. The development process consists of communication, planning, modeling, construction, and deployment stages. Unified Modeling Language (UML) was used to model system requirements, including use case diagrams and Entity Relationship Diagrams (ERD). The system was developed using PHP, MySQL, and Apache server through XAMPP. The developed system provides several features, including vehicle data management, repair requests, repair status monitoring, repair reports, and repair history management. System testing was conducted using black-box testing, performance testing, usability testing, and User Acceptance Testing (UAT). The testing results showed that all system functions operated properly according to user requirements. Performance testing indicated that the average response time was below 3 seconds, while usability testing showed positive results with ease of use reaching 90% and monitoring effectiveness reaching 92%. The developed system successfully improved repair data management, reporting efficiency, monitoring transparency, and coordination between departments at PT SU.
Co-Authors Darius Antoni Febri Pratama Irfan Saputra Melinda Kurnia Putri Nining Ariati Terttia avini Yulianti, Evi