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Journal : international journal software engineering and computer science ijsecs

Implementation of Employee Attendance with Face Recognition using Waterfall Method in Solo Technopark Arsandy, Noelino Grevansha; Maulindar, Joni; Muhtarom, Moh.
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2617

Abstract

In the Business and Technology Incubator Division at Solo Technopark, the existing attendance system presents significant challenges, requiring employees to physically commute to a centralized attendance machine. This process not only reduces work efficiency and productivity but also disrupts the daily workflow, particularly under unfavorable weather conditions or during peak hours. To address these issues, this research proposes the development of an attendance system based on facial recognition technology. This system enables employees to register their attendance directly from their desks using the camera on their laptops, thereby conserving time, reducing physical contact, and enhancing overall workplace hygiene. The system's development follows the Waterfall Method, which is structured into five key stages: communication, planning, modeling, construction, and deployment. Unified Modeling Language (UML) was employed to design the system, which was subsequently implemented for real-time monitoring and management. The findings demonstrate a marked improvement in employee efficiency and productivity, validating the system's effectiveness in a practical setting. The study underscores the potential of facial recognition technology to streamline operational processes and improve the working environment within modern organizations.
Web-Based Motorcycle Spare Part Stock Management Information System at Geleng Classic Shop Toti Fernanda Suprapto; Moh. Muhtarom; Bondan Wahyu Pamekas
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7292

Abstract

Advances in information technology have encouraged businesses to adopt more effective inventory management systems. Geleng Classic Store still managed motorcycle spare part inventory manually using record books, resulting in recording errors, delays in updating information, inconsistencies between physical and recorded stock, and difficulties in monitoring inventory. These problems affected the efficiency of stock management and the availability of spare parts. This research aimed to design and develop a web-based inventory information system to support spare part stock management at a small and medium-sized enterprise. The system was developed using the waterfall model within the System Development Life Cycle (SDLC), consisting of requirements analysis, system design, implementation, testing, and maintenance. The system was developed using the Laravel framework, PHP programming language, and MySQL database, with the First In, First Out (FIFO) method applied to inventory management. The developed system provides computerized recording of incoming and outgoing goods, real-time stock monitoring, minimum stock notifications, and role-based access according to user requirements. PIECES analysis indicated improvements in the management of performance, information, economics, control, efficiency, and service compared with the previous manual system. Black-box testing of ten main system features showed that all tested functions produced the expected results. The implementation of FIFO prioritizes older stock for release, supporting more orderly stock rotation and reducing the possibility of older items remaining in storage for extended periods. The developed system therefore provides a practical tool for supporting motorcycle spare part inventory management at Geleng Classic Store.