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Journal : AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal

Service Quality Analysis of Business Licensing Information System (BLIS) at the Provincial Industry Department Using Decision Tree Putri, Indah Pratiwi; Marcelina, Dona; Yulianti, Evi; Anandez, Arum Adisha Putra
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 2 (2024): VOLUME 1, NO 2: DECEMBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i2.48

Abstract

In the digital era, government services, particularly business licensing, are expected to be efficient, reliable, and user- friendly to meet public demands. The South Sumatra Provincial Industry Department has adopted a web-based Business Licensing Information System to facilitate the licensing process. However, the system’s effectiveness in delivering quality service and ensuring process efficiency remains underexplored. This study aims to evaluate the service quality of the system, focusing on factors such as reliability, responsiveness, assurance, empathy, and usability. Using decision tree analysis, the study identifies the key variables impacting user satisfaction and process efficiency. The research objectives include assessing the overall quality of the service, analysing factors influencing efficiency, and providing recommendations for system improvement. Data will be gathered from business users who have utilized the system within the past year. The study scope encompasses service quality dimensions, process efficiency indicators, and user satisfaction metrics. Decision tree analysis will be employed to analyse these variables, highlighting the most influential factors on system performance. This research is expected to provide insights for enhancing the system’s reliability and usability, offering data-driven recommendations for decision-makers at the Industry Department. By improving the system, users can experience a more streamlined and satisfying licensing process, ultimately increasing their likelihood to recommend and reuse the service. The findings will also contribute to public information systems literature, serving as a valuable reference for similar service evaluations and optimizations in other government sectors
Payroll Checker System Based on Employee Performance at PT GOTO Palembang Using FDD Marcelina, Dona; Putri, Indah Pratiwi; Yulianti, Evi
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 2 No. 1 (2025): VOLUME 2, NO 1: JUNE 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v2i1.78

Abstract

This study addresses the critical need for modernising payroll management at PT GOTO Palembang, a rapidly expanding enterprise grappling with the limitations of manual, paper-based salary processing. The research focuses on the design and implementation of a web-based Payroll Checker Information System that integrates employee performance metrics to enhance accuracy, efficiency, and transparency in remuneration processes. Employing the Feature-Driven Development (FDD) methodology, the system was developed iteratively to ensure alignment with organisational requirements and adaptability to evolving operational complexities. The system architecture encompasses modules for attendance tracking, performance evaluation, salary computation—including deductions, allowances, and meal subsidies—and comprehensive reporting functionalities. Role-based access controls were instituted to safeguard data integrity and facilitate secure access for administrators, employees, and directors. The implementation of this system has yielded significant improvements in payroll accuracy, reduced administrative workload, and enhanced employee trust through increased transparency. Furthermore, the integration of performance-based compensation aligns employee incentives with organisational objectives, fostering a culture of accountability and continuous improvement. This initiative exemplifies how strategic application of information technology can optimise human resource management practices, particularly in organisations experiencing rapid growth and structural complexity. The findings underscore the efficacy of agile development methodologies in delivering scalable and responsive business solutions, and they offer valuable insights for enterprises seeking to modernise their payroll systems in alignment with contemporary performance management paradigms.
A Prognostic System for Pharmaceutical Inventory Forecasting Using the Trend Least Squares Method at Rakha Medika Yulianti, Evi; Putri, Indah Pratiwi; Marcelina, Dona
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 2 No. 1 (2025): VOLUME 2, NO 1: JUNE 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v2i1.80

Abstract

This study proposes the development of a sophisticated predictive system for pharmaceutical inventory management at Rakha Medika, Palembang, aimed at addressing the prevalent challenges associated with inaccurate drug stock forecasting. Employing the Trend Least Squares method, the system leverages historical consumption data to generate precise predictions of future pharmaceutical needs, thereby facilitating optimal procurement strategies and mitigating the risks of both stockouts and surplus inventory. Developed with PHP and MySQL, the system offers a user-friendly web-based interface, providing role-specific access for administrators, warehouse personnel, and senior management, ensuring seamless integration within the existing operational framework. This research highlights the importance of data-driven decision-making in healthcare supply chain management, where the accuracy of stock forecasts directly correlates with the quality-of-service delivery. Through rigorous testing using real-world data, the system demonstrated a significant improvement in forecasting accuracy and operational efficiency, with tangible benefits including reduced administrative burdens and enhanced drug availability. The implementation of this predictive system not only optimizes inventory control but also contributes to the overall enhancement of healthcare services at the public health center.