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All Journal Jurnal Mandiri IT Brilliance: Research of Artificial Intelligence
Antika Zahrotul Kamalia
Universitas Pelita Bangsa, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Mathematics Other

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Web-based project material inventory information system at PT XYZ using the waterfall method Cut Zahra Malahayatinur; Antika Zahrotul Kamalia; Candra Naya
Jurnal Mandiri IT Vol. 15 No. 1 (2026): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v15i1.550

Abstract

PT XYZ is an enterprise operating in the building contractor sector with a high intensity of material movement. Currently, the warehouse inventory management procedure in the company still relies on conventional methods using a manual physical Logbook. This mechanism triggers various operational obstacles, such as a high risk of handwriting errors (human error), stock discrepancies between physical availability and written balances, and a slow cascade of report recapitulation for management. This study aims to design and develop a Web-Based Project Material Inventory System to digitalize the entire workflow of stock management. The system development method implemented is the Waterfall model, which encompasses requirement analysis, design, implementation, testing, deployment, and maintenance. This computerized application is built using the PHP programming language with the Laravel framework, a MySQL database, and supported by a Tailwind CSS-based interface. System functionality testing was conducted through the Black Box Testing method to ensure all operational modules run according to the system requirements. The final result of this research is a centralized information system capable of managing master data (items, vendors, units, projects), processing incoming and outgoing item transactions with automatic stock calculation, and presenting inventory mutation reports in real-time. The implementation of this system has been proven to reduce warehouse administrative burdens, eliminate the risk of physical damage to paper documentation, and accelerate managerial decision-making processes at PT XYZ.
Evaluating Informatics Engineering Learning Outcomes Using Weighted Rubrics to Compare Teacher and LLM Scores Nurhadi surojudin; Antika Zahrotul Kamalia; Sufajar Butsianto; Refania Meilani Firdos; Bagus Tri Ardiawan
Brilliance: Research of Artificial Intelligence Vol. 6 No. 4 (2026): Brilliance: Research of Artificial Intelligence, Article Research November 2026
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v6i4.9858

Abstract

The increasing use of large language models (LLMs) in educational assessment highlights the need to examine scoring consistency between automated and teacher evaluations. This study analyzes assessment-score consistency and compares teacher and LLM evaluations using a weighted-rubric approach. A descriptive-analytical method was applied to the HARMOGEN-R dataset. First, 32,805 evaluation records were examined to assess consistency between recorded total scores and aggregated criterion scores. Second, 345 paired teacher–LLM responses were analyzed across five criteria using equal weights of 0.20. Evaluation metrics included mean absolute error (MAE), root mean squared error (RMSE), mean score difference, Pearson correlation, and Spearman rank correlation. The results showed that 32,618 evaluations (99.43%) had matching recorded totals and summed criterion scores. In the paired analysis, the mean teacher score was 52.583, compared with 49.996 for LLM scores. The MAE was 4.168, the RMSE was 9.328, and the mean difference (LLM minus teacher) was ?2.587. Pearson and Spearman correlations were 0.9781 and 0.9863, respectively (both p < 0.001). Despite these strong positive associations, score differences indicate that correlation does not necessarily establish agreement or interchangeability. The weighted-rubric approach provides a transparent method for score aggregation and identifying assessment discrepancies. However, equal weights were used as a baseline, and the criteria were not validated against official Course Learning Outcomes (CLOs) or Program Learning Outcomes (PLOs). Future research should investigate alternative weighting schemes, validate learning-outcome mapping, and assess score agreement across broader educational contexts.
Co-Authors Bagus Tri Ardiawan Butsianto, Sufajar Candra Naya Cut Zahra Malahayatinur Nurhadi Surojudin Refania Meilani Firdos