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All Journal Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer
Desyanti
Sekolah Tinggi Teknologi Dumai, Riau
Computer Science & IT

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Journal : KLIK: Kajian Ilmiah Informatika dan Komputer

 1 
Implemetasi Algoritma Apriori dalam Penjualan Mebel Desyanti; Dewi Anjani; Desi Novianti
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.717

Abstract

CV. Andalas Jaya Furniture Dumai is a company engaged in the sale of furniture. Which every month CV. Andalas Jaya Furniture Dumai performs tens to hundreds of sales transactions. Currently CV. Andalas Jaya Furniture Dumai needs a strategy to increase sales, because there are many stocks of goods in the warehouse that have piled up and have not been sold, resulting in a stagnation of capital turnover. For that we need an analysis that can help CV. Andalas Jaya Furniture Dumai in managing which goods must be stocked according to consumer needs. There are several algorithms used to perform Market Basket Analysis, one of which is the Apriori algorithm. In this study, researchers will use the a priori algorithm to classify data on sales of CV. Andalas Jaya Furniture Dumai based on their tendency to appear together in a transaction. The results of this study are if a consumer buys an AC then he has a 71.42% chance of buying a TV and if he buys a TV then he has a 31.25% chance of buying an AC, if a consumer buys a TV table then he has a 62.5% chance of buying a TV and if If you buy a TV, you have a 31.25% chance of buying a TV table, if a consumer buys a refrigerator, you have a 100% chance of buying a TV, and if you buy a TV, you have a 31.25% chance of buying a refrigerator. Meanwhile, 25% of the 20 existing transactions contain both of these items
Combination of Multi-Attributive Ideal-Real Comparative Analysis and Rank Order Centroid in Supplier Performance Evaluation Muhammad Waqas Arshad; Setiawansyah; Mesran; Desyanti
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1677

Abstract

Supplier performance evaluation is a critical aspect of supply chain management that focuses on assessing and monitoring the performance of suppliers. Supplier performance evaluation not only provides benefits for the company, but also motivates suppliers to improve their quality standards and operational efficiency. This study aims to evaluate supplier performance based on existing assessment data by applying the ROC method to determine the weight of the criteria used, then the MAIRCA method will evaluate supplier performance so that it will produce a rating of supplier performance evaluation which will be a decision recommendation for companies in assessing the performance of existing suppliers. The combination of ROC and MAIRCA weighting methods forms a powerful approach in addressing the complexity and challenges of multi-criteria decision making. ROC with its focus on relative ranking criteria, whereas MAIRCA which considers the difference between ideal and real conditions, presents complementary perspectives. By combining the two, decision makers can generate a more contextual and informational weight of criteria. The ranking result graph in figure 4 shows the best supplier performance obtained on behalf of Supplier C with a final value of 0.052391944 ranked 1, then on behalf of Supplier F with a final value of 0.050077222 ranked 2, and on behalf of Supplier G with a final value of 0.049074028 ranked 3.
Co-Authors Adinda Tria Suci Desi Novianti Dewi Anjani Mesran, Mesran Muhammad Waqas Arshad Pernando, Yonky Ryan Prayoga Samsul Lutfi Setiawansyah Titus Kristanto, Titus