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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

Optimization of Inventory Management with QR Code Integration and Sequential Search Algorithm: A Case Study in a Regional Revenue Office Fajar, Moh; Azhar, Ryfial; Anshori, Yusuf; Laila, Rahma; ., Rinianty; Lapatta, Nouval Trezandy
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.8919

Abstract

Inventory management at a government office was previously conducted manually, leading to issues such as data inaccuracies, delays in item searches, and low work efficiency. This study develops a web-based inventory management system integrated with QR Code technology and a sequential search algorithm to address these challenges. The system was developed using the prototyping method, with iterative design based on user feedback until the final version met the office's operational needs. Key features of the system include digital inventory recording, item tracking using QR Codes, and real-time information access through a web-based interface. The system was tested in two stages: simulation and direct implementation in a real-world environment, involving 10 respondents to evaluate effectiveness and usability. The test results showed a 95% improvement in data recording accuracy, a 60% reduction in item search time, and an average user satisfaction score of 77.25 based on the System Usability Scale (SUS). This research successfully improved inventory management efficiency and demonstrated the system’s potential for adoption by other similar organizations, with modular adjustments tailored to their needs.
Implementasi Fisher-Yates Shuffle dan Fuzzy Tsukamoto dalam Game Edukasi Nusantara Karim, Khairul Insan; Chairunnisa Lamasitudju; Ryfial Azhar; Fizar Syafaat; Anisa Yulandari
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9248

Abstract

This research introduces "PINUS: Petualangan Ilmu Nusantara," an educational game designed to improve players' knowledge and interest in Indonesian culture, flora, fauna, and national figures. The game incorporates the Fisher-Yates Shuffle algorithm to randomize questions and answers, ensuring variety, and the Fuzzy Tsukamoto algorithm to calculate scores based on player performance for fair and competitive assessment. Quantitative methods were employed, with data collected through interviews, literature reviews, and system testing via alpha testing (black- box) and beta testing (user acceptance testing or UAT). The One Group Pretest- Posttest Design method was also applied. The findings show that the Fisher-Yates Shuffle enhances challenge and engagement, while the Fuzzy Tsukamoto algorithm ensures balanced scoring, fostering motivation. UAT results indicate strong functional acceptance, with an average score of 84.9% ("Strongly Agree"). The pre- test and post-test analysis revealed a score improvement average of 0.307, categorized as moderate. These findings affirm PINUS effectiveness in enhancing learning comprehension by offering interactive features, educational content, and dynamic question variations. The game provides an engaging, accessible, and technology-driven learning medium, making it a valuable tool for supporting educational initiatives.