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Analysis of the Apriori Algorithm for Enhancing Retail Product Staple Sales Recommendations Kurniawan, Avip; Suwaryo, Niko
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1877

Abstract

Products are fundamental commodities in the market that cater to various consumer needs and desires. This research employs the Apriori algorithm to generate product recommendations based on the analysis of high-demand patterns arising from product sales and association patterns. Specifically, we focus on identifying elevated sales in categories such as Bulk Products, Biscuits/Snacks, Drinks, Milk/Coffee/Tea, and Sauces & Spices during specific time intervals. The model's evaluation and validation entail measuring the Lift Ratio value, a key metric. In our assessment using the RapidMiner Studio application, we find that the Lift Ratio value equals 1. Consequently, our model asserts that combinations with a Lift Ratio value greater than or equal to 1 are deemed valid and beneficial.
Pendekatan Fuzzy Logic dalam Perhitungan Harga Rental Truck Crane Kurniawan, Avip; Irawan, Bei Harira; Prihadi, Deddy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 4 (2023): OCTOBER-DECEMBER 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i4.1759

Abstract

Calculating rental prices in the crane rental industry is essential in achieving competitiveness and optimal profits amidst increasingly tight business competition. Applying fuzzy logic, especially the Fuzzy Mamdani method, in calculating truck crane rental prices by Standard Operational Decision Procedures (SPOK) can significantly contribute to overcoming penetration and subjectivity that may be associated with factors that influence truck crane rental prices. The advantage of fuzzy logic, especially the Fuzzy Mamdani method, and its contribution to the crane rental industry lies in its ability to handle ambiguity in data and decision problems. The Fuzzy Mamdani method was chosen because of its high flexibility and ability to handle data tolerance values well. This research shows that applying fuzzy logic can help carry out optimal calculations to determine crane rental prices. Using input variables such as a distance of 40 km and a weight capacity of 25 tons, the calculation results show that the rental price is in the medium category. This reflects the synchronization of calculation results in determining crane rental prices, which can be adjusted to certain conditions and variables.