Analisa Algoritma Apriori Pada Pola Peminjaman Buku di Perpustakaan ITB Ahmad Dahlan

Abstract

The library is a source of information and a place of learning. Each book lending information is stored by the library so as to produce large data lending books. Big data if not utilized will create problems in the future. In this study, researchers will utilize a priori algorithms and Tanagra software to group library book borrowing data at Ahmad Dahlan ITB based on trends that occur together in library visit activities. In the process of borrowing books, of course the raw data will be processed by dividing it into different pieces of data. Among the lending data tables processed are general lending tables, 2-itemset candidate tables, lending tabular tables, support value tables, confidence value tables. From the results of this study it can be seen what books are often borrowed together with a minimum support of 5% and 10% confidence one of which is Taxation and Taxation Accounting with a minimum support of 7.30% confidence 62.79%. And can be used as a reference for ITB Ahmad Dahlan in the procurement and placement of library book layout.

Apriori Algorithm for Determining the Demand Level of Stationary Pt. Main Gafa Indonesia

“…Data processing uses the Apriori Algorithm whose calculations are carried out manually by making tabular into Microsoft Excel (Satie et al, 2020).…”

“…The next related research is the analysis of the Apriori algorithm on the pattern of borrowing books at the ITB Ahmad Dahlan library, the purpose of this research is to utilize the apriori algorithm and use the Tanagra software to classify the data on borrowing books at the ITB Ahmad Dahlan library. The results of this study are known which books are most often borrowed together, with a minimum support value of 5%, and a minimum confidence value of 10% in the form of Tax Accounting books, and for Taxation books, it is with a minimum support value of 7.30%, and a minimum confidence value of 62, 79%, and can be used as a reference for the library on the Ahmad Dahlan ITB Campus in the procurement and placement of book layouts (Satie, Suparni, & Pohan, 2020).…”

Penerapan Metode Data Mining Pada Point of Sale Berbasis Web Menggunakan Algoritma Apriori

“…Data ini mendapatkan prosedur yang susah seperti memakai artificial intelligence, teknik statistik, ilmu matematika, machine learning, dan lain lain. Mengenali sistem yang rumit ini maka tambahan informasi yang berguna pada satu penyimpanan besar [12]. Data mining ini mempunyai banyak fungsinya.…”

Analisis Pola Penjualan Pakaian Menggunakan Data Mining Dengan Algoritma Apriori

“…Informasi yang dihasilkan diperoleh dengan cara mengekstraksi dan mengenali pola yang penting atau menarik dari data yang terdapat pada basis data. Data mining terutama digunakan untuk mencari pengetahuan yang terdapat dalam basis data yang besar sehingga sering disebut Knowledge Discovery Database (KDD) (Satie et al, 2020).…”