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Journal : Journal of Artificial Intelligence and Technology Information

Kombinasi Metode Rank Reciprocal dan MARCOS Dalam Pemilihan Kinerja Guru Terbaik Badiwibowo Atim, Sandi
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 3 (2024): Volume 2 Number 3 September 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i3.132

Abstract

Problems in teacher performance evaluation often include several aspects that can hinder effectiveness and fairness in the process, especially in subjectivity in assessment. Many evaluation methods still rely on subjective judgments from superiors or peers, which can result in bias and unfairness. The purpose of this study is to develop a more objective and transparent teacher performance evaluation system by combining the reciprocal and MARCOS rank methods. In addition, this research is also to provide effective recommendations in the selection of the best teachers based on relevant criteria, in order to improve the quality of education in related institutions. The combination of the reciprocal rank and MARCOS methods in selecting the best teacher performance is an innovative approach to evaluate and rank teachers based on predetermined criteria, such as pedagogical competence, material mastery, communication skills, and managerial ability. The results of the ranking of the best teacher performance show that Dian Lestari ranks highest with a score of 1.8959, followed by Fitria Sari with a score of 1.8559 and Andi Santoso in third place with a score of 1.8523. These results show that Dian Lestari has the most superior performance compared to her peers in various aspects of the assessment applied.
Permodelan Sistem Informasi Penjualan Barang Berbasis Website Menggunakan Metode Agile Badiwibowo Atim, Sandi
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.104

Abstract

Goods sales information system is an important infrastructure for companies to manage and track all sales transactions of their goods efficiently. One common problem is the system's inability to handle high transaction volumes quickly and efficiently, especially during busy sales periods. This study aims to create a website-based goods sales information system by applying agile methods in design so that it can overcome existing problems and accelerate when there is a change process in design. In modeling a website-based goods sales information system using the Agile method, the result is the development of a system that is more adaptive and responsive to changing business and user needs. The Agile method allows for gradual system development, focusing on delivering features that have high added value in each iteration. The results of blackbox testing show that the website-based goods sales system reflects a high success rate, reaching 100%. This indicates that the system has successfully passed a series of functionality, security, compatibility, and performance tests without finding significant defects or errors.