Implementasi Algoritma Apriori  untuk Mendapatkan Pola Dosen Pembimbing Skripsi STIE-GK Muara Bulian

Anas, Azwar

doi:10.33998/mediasisfo.2021.15.1.972

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…Suatu aturan asosiasi dikatakan menarik apabila nilai dukungannya lebih besar dari dukungan minimumnya dan juga nilai keyakinannya lebih besar dari keyakinan minimumnya. Algoritma apriori ini akan cocok diterapkan jika terdapat beberapa hubungan item yang ingin dianalisis [6].…”

Section: Iunclassified

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Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Puspita,

Syahri

2023

jusim

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This research aims to implement an a priori algorithm to determine promotion strategies for new students at the Tarbiyah College of Science (STIT) Pagar Alam City. Based on the results of observations and interviews with the committee accepting new students at STIT, the promotion strategy is still carried out thoroughly without looking at target opportunities for places that have potential and those that do not have potential. This is very time-consuming and expensive. The Apriori algorithm is very effective in finding relationship patterns of one or more itemsets in a large data set to determine which study programs are most in demand at the Pagar Alam Tarbiyah College of Science. The process of applying the Apriori algorithm to student data for 2020-2021 uses the Rapidminer application with minimum support of 10% and confidence of 40%, this research obtained information that if the student comes from the PAI study program then comes from the department with a confidence of 44.44%, and if the student comes from SMA N 3 Pagar Alam then comes from the science department with a confidence of 56.09%

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“…Penting atau tidaknya suatu pergaulan dapat ditentukan dengan menggunakan dua tolok ukur yaitu dukungan dan keyakinan. Support adalah nilai pendukung atau persentase kombinasi suatu item dalam database, sedangkan keyakinan adalah nilai kepastian yaitu kuatnya hubungan antar item dalam aturan asosiasi [6].…”

Section: Estimasiunclassified

Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Puspita,

Syahri

2023

jusim

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“…The support value is used as a probability value for a transaction or a measure of value that shows how big the level of dominance of an item or item is in the entire transaction [8]and the confidence value is used as a value of confidence or certainty between combinations [9][10] [11]. To measure the value that has been produced, we will also use the Lift Ratio.…”

Section: ) Determination Of Support Value and Confidence Value Parame...mentioning

confidence: 99%

Product Stock Supply Analysis System with FP Growth Algorithm

Hartanti,

Atina

2023

J. Inf. Syst. Informatics

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This study explores the application of Data Mining in deciphering consumer purchasing patterns at Tani Heritage Shop, a retailer specializing in agricultural products. Facing the challenge of managing a high volume of daily sales transactions, the shop often encounters difficulties in tracking which products are frequently purchased together. This lack of insight leads to a critical issue: popular products running out of stock unexpectedly. To address this, the research focuses on developing a product stock supply analysis system, utilizing the FP Growth Algorithm. The FP Growth Algorithm, a powerful tool in Data Mining, is employed to analyze sales transaction data and identify consumer purchasing trends, particularly products bought simultaneously. This approach is designed to provide insights into optimal stocking strategies, ensuring the availability of in-demand products. The research methodology involves applying the FP Growth Algorithm to model the product stock supply system, using specific sales data attributes. The results of this study are significant. By setting parameters such as a minimum support value of 30%, a confidence value of 70%, and targeting the highest lift ratio value of 3.67, the research successfully derives several key association rules from the FP Growth algorithm. These rules are instrumental in optimizing the product stock supply analysis system.

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“…Association Rules memiliki semua aturan atau pola yang memiliki support dan confidencedi atas batas yang dapat ditentukan oleh penggunannya (Indah Prahartiwi et al, 2017). Nilai support adalah suatu ukuran nilai yang menunjukkan seberapa besar tingkat dominasi suatu item atau itemset dari keseluruhan transaksi (Anas, 2021). Nilai confidence adalah nilai kepastian yang memiliki hubungan antar item yang kuat dalam aturan asosiasi (Santoso et al, 2016).…”

Section: Pendahuluanunclassified

Implementasi Algoritma Apriori dan FP-Growth pada Penjualan Spareparts

Wadanur

Sari

2022

Edumatic

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Data Mining can be applied in various areas, for example in PT. Agung Toyota Denpasar in order to increase sales and determine the sale of replacement parts. The current problem is to determine the replacement parts sale in PT. Agung Toyota Denpasar cannot know the purchasing habits of customers or customers in purchasing replacement parts purchased simultaneously. This research aims to implement apriori algorithms and fp-growth algorithms to form a model or a combination of rules so that businesses can increase their sales. Using the Knowledge Discovery Database (KDD) method should provide significant information on transaction patterns purchased simultaneously using the apriori and fp-growth algorithms. The dataset used to support this research is the sales transactional dataset for the period of January 2022. The results showed that the 10 best association rules of apriori algorithms and fp-growth algorithms were ready to be used to increase sales with a minimum support value of 85%, confidence value of 100%, and the highest lift ratio of 2.03.

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Implementasi Algoritma Apriori untuk Mendapatkan Pola Dosen Pembimbing Skripsi STIE-GK Muara Bulian

Cited by 3 publications

References 6 publications

Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Implementasi Algoritma Apriori Untuk Menentukan Strategi Promosi Sekolah Tinggi Sains Tarbiyah Kota Pagar Alam

Product Stock Supply Analysis System with FP Growth Algorithm

Implementasi Algoritma Apriori dan FP-Growth pada Penjualan Spareparts

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