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All Journal Jurnal Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Friwaldi, Restian Dwi
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Computer Science & IT

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Optimization of Direct Sales and Sales Canvasser Sales Target Monitoring With RESTful API Implementation on Web-Based Monitoring System Friwaldi, Restian Dwi; Widiono, Suyud
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.8644

Abstract

RESTful API offers advantages in real-time data exchange, scalability, and ease of integration with other systems. This research aims to develop a web-based monitoring system using RESTful API to optimise the monitoring of direct sales targets and sales canvassers at. This system is built with Laravel framework and Agile method, focusing on ease of use and real-time data access. Tests were conducted using Apache JMeter with load scenarios of 500, 750, and 1000 users. The test results showed response times of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the target of 900 ms. The error rate was recorded at 0.00%, indicating the high reliability of the system. The throughput achieved was 90.30 requests per second for 500 users, 124.30 requests per second for 750 users, and 159.10 requests per second for 1000 users, exceeding the target of 150 requests per second. Recommendations for further development are the integration of mobile applications for accessibility and real-time monitoring of sales performance.
Performance Evaluation of RESTful API in Sales Target Monitoring System for Direct Sales and Sales Canvassers Widiono, Suyud; Friwaldi, Restian Dwi; Anggara, Afwan
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.25747

Abstract

In an increasingly competitive digital era, manual sales target monitoring often leads to delayed information and inefficiency in decision-making. This research aims to develop a web and mobile-based sales target monitoring system integrated with RESTful API to enhance the efficiency of monitoring the performance of direct sales and sales canvassers. The system is developed using the Laravel framework for the back-end and Flutter for the mobile application, with Agile methodology applied in the development process. Testing is conducted using the Black Box Testing method to ensure the accuracy of system functionalities, including user authentication, sales data management, and sales target monitoring. Additionally, load testing is performed using Apache JMeter with scenarios of 500, 750, and 1000 users. The test results show that the system has stable performance with an average response time of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the threshold of 900 ms. The error rate is recorded at 0.00%, and the system throughput exceeds the set target, indicating the system's reliability in handling simultaneous user requests. The conclusion of this research shows that the implementation of RESTful API in the sales monitoring system can improve operational efficiency, enable real-time data exchange, and support faster, data-driven decision-making. As a recommendation, further development could include broader integration with mobile applications and the implementation of AI-based analytics for sales strategy optimization.
Co-Authors Anggara, Afwan Suyud Widiono