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All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal of Student Development Information System (JoSDIS)
Ritonga, Akbar Pramuja
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Computer Science & IT Education

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Analisis Keuntungan Produk Penjualan Sate Padang Menggunakan Metode Simplex Ananda, Muhammad Rizki; Wijaya, Alief Achmad; Ritonga, Akbar Pramuja; Ritonga, Irmayanti
Journal of Student Development Information System (JoSDIS) Vol 4, No 2: JoSDIS | Juli 2024
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/josdis.v4i1.5435

Abstract

This study aims to analyze the products and queues at the sale of satay padang using Simplex Method with QM for Windows application.Sate padang sellers, as food sellers, face challenges in planning and managing satay portion inventory to achieve maximum product.This study applies the Simplex Method, a mathematical programming technique, to identify the optimal combination of product inventory that can improve product and customer queues.The research steps include analysis of historical sales data, identification of decision variables, as well as the formulation of mathematical models based on optimal goals.The QM for Windows application is used as a tool to run probability and random variable distribution methods and analyze the results. The study also evaluated the impact of optimization on products, queues, inventory efficiency, and customer satisfaction.The results of this study are expected to provide practical guidance to owners of sate padang or similar businesses in managing product inventory and planning sales.In addition, this study can be a contribution to the development of optimization methods that can be applied in the context of small and medium businesses, especially in the culinary sector.
Comparative Analysis of Incoming Goods Patterns Using FP-Growth and Apriori Algorithms: A Case Study in Retail Ritonga, Akbar Pramuja; Harahap, Syaiful Zuhri; Masrizal, Masrizal
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6776

Abstract

This study aims to analyze consumer purchasing patterns in minimarkets using the Apriori and Fp Growth association algorithms based on transaction data, where the data consists of 10 goods receipt transactions with 7 variable items such as Ultra Milk UHT 250ml, Indomie Goreng Spesial, Beras Ramos 5kg, Teh Cup Sariwangi 25's, Minyak Goreng Bimoli 1L, Soap Bar Lifebuoy 75g, and Mie Lemonilo Goreng 70g. The analysis process is carried out through the preprocessing stage, transformation to binary format, and application of the algorithm with minimum support parameters of 20% and confidence of 50%. The results show that Ultra Milk UHT 250ml has the highest support (0.5) followed by Indomie Goreng Spesial (0.4), while the combination of UHT Milk with Indomie has a support of 0.2; in terms of confidence, a number of rules even reach a perfect value of 1.0, for example the relationship between Teh Cup Sariwangi and Ultra Milk which always appear together. Quantitatively, Apriori produces 25 association rules with a processing time of approximately 2.1 seconds, while Fp Growth produces the same number of rules but is more efficient with a processing time of 1.3 seconds and lower memory usage, so it can be concluded that although both are equal in terms of rule quality, Fp Growth is superior in computational efficiency. This finding has important practical implications for minimarket management, especially to support shelf arrangement strategies, more targeted stock planning, and the preparation of bundling promotions based on product combinations with high confidence, while also showing a scientific contribution in the form of comparing the performance of two association algorithms on incoming goods data that is relatively rarely used in previous studies.
Co-Authors Ananda, Muhammad Rizki Ritonga, Irmayanti Syaiful Zuhri Harahap Wijaya, Alief Achmad