IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN POLA PEMBELIAN PRODUK DI E-COMMERCE AL-FATTA
DOI:
https://doi.org/10.58776/jriti.v3i3.191Kata Kunci:
data mining, algoritma apriori, E-commerce, usaha kecil, dan menengahAbstrak
Human resource management is a crucial element in supporting organizational success, particularly through fair and objective job promotion. PT. Dinito Jaya Sakti, as a growing company, faces challenges in its promotion process, which is still conventional and subjective, thereby creating potential bias, unfairness, and decreased employee motivation. This study aims to design a Decision Support System (DSS) for job promotion by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method as a structured, transparent, and measurable solution. TOPSIS was chosen due to its capability to process multiple relevant criteria, assign proportional weights, and generate promotion recommendations based on the closeness of each alternative to the ideal solution. The research methodology involves collecting employee data, determining promotion criteria covering experience, performance, and competence, as well as implementing the TOPSIS algorithm in a computer-based system. The results indicate that the developed DSS is able to provide objective employee ranking recommendations and assist management in making more accurate promotion decisions. Therefore, this system can enhance fairness, transparency, and effectiveness in human resource management at PT. Dinito Jaya Sakti.
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