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Algoritma SMART dalam Sistem Penilaian Karyawan Terbaik Berbasis Web Sukaesih, Fitri; Mugiarso; Mukhlis; Rasim
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2nmc4618

Abstract

PT Sinar Perkasa Engineering is a leading engineering and manufacturing company that considers employee evaluation a critical component of human resource management. Manual evaluation processes are often time-consuming and prone to human error, potentially leading to inaccuracies in selecting the best employees. This study aims to design a decision support system based on the SMART algorithm to enhance the efficiency and accuracy of employee evaluations. The system was developed using the Waterfall model and designed with the Unified Modeling Language (UML). The results indicate that the implementation of a web-based decision support system significantly improves the speed and accuracy of the evaluation process, reduces the risk of human error, and provides a transparent and objective assessment tool. This research is expected to serve as a foundation for further development of decision support systems, either through collaborative efforts or by comparing alternative decision-making methods.
Perancangan Aplikasi E-Commerce Berbasis Website Menggunakan Algoritma Content Based-Filtering Pada Toko Smoodie Foodie Arifin, Muhammad Khoirul; Mugiarso; Sari, Rafika
Journal of Informatic and Information Security Vol. 6 No. 1 (2025): Juni 2025
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/83a4yw27

Abstract

The development of digital technology is driving transformation in the trade sector, including the increasing use of e-Commerce   platforms. However, challenges such as sales disparities between products still occur, such as at the Smoodie Foodie Store, which still operates conventionally, where 5 of its 16 products have a low sales conversion rate despite being promoted. This research aims to design an e-Commerce   system that facilitates online purchases and increases the visibility of less popular products through the Content-Based Filtering (CBF) algorithm. The system development uses the Waterfall method, from analysis to testing. The uniqueness of this research lies in the integration of a recommendation feature that displays similar products based on title attributes. The result is an e-Commerce   application that is able to recommend products effectively and increase the visibility of products with low sales. Next, system testing covered key functions such as registration, login, product and order management by the admin, and adding products to the cart by the user. Based on the test results, all features showed a "Succsess" status, indicating the system was functioning as expected