Jurnal TAM (Technology Acceptance Model) Volume 13, Nomor 1, Juli 2022 Hal. 34-42 34 Jurnal TAM (Technology Acceptance Model) Jurnal TAM, Volume 13, Nomor 1, Juli 2022 E ISSN: 2579-4221; P ISSN: 2339-1103, pp.34-42 Accredited SINTA 4 Nomor 23/E/KPT/2019 https://ojs.stmikpringsewu.ac.id/index.php/JurnalTam/index MARKET BASKET ANALYSIS ON TRANSACTION DATA USING THE APRIORI ALGORITHM Sri Karnila 1 , Akbar Rizkyandi 2 , Nurjoko 3 , Rio Kurniawan 4 1,2,3 Program Studi Sistem Informasi, Institut Informatika dan Bisnis Darmajaya 4 Program Studi Teknik Informatika, Institut Informatika dan Bisnis Darmajaya 1,2,3,4 JL. ZA Pagar Alam no 93, Gedong Meneng, Bandar Lampung, Indonesia Email: srikarnila_dj@darmajaya.ac.id 1 , akbar.2.rizkyandi@gmail.com 2 , nurjoko@darmajaya.ac.id 3 , riokurniawan@darmajaya.ac.id 4 Article history: Received: May 11, 2022 Revised: June 2, 2022 Accepted: July 4, 2022 Corresponding authors srikarnila_dj@darmajaya.ac.id Abstract This research aims to get information about the relationship between sales patterns carried out by CV. Dian Abadi Jaya workshop by using APRIORI algorithms through transaction data sets carried out by customers. The subject of research is a record of shopping cart transactions made by customers, namely vehicle parts sales transactions and vehicle repair service transactions. The data collection techniques used are interviews and documentation. The criteria used in this research are a minimum of frequent itemset of 20 transactions with support criteria of 1,7%, confidence value of 40% and lift ratio value above 1. The results of the research have produced 9 sales pattern relationships with the highest confidence of 100%. The results that have been obtained are expected to help the CV. Dian Abadi Jaya workshop in making a decision for the next sale. This is an open access article under the CC–BY-SA license. Keywords: Data Mining; APRIORI Algorithm; Association Rule; Workshop; Sale. 1. INTRODUCTION The development of information technology is currently happening so rapidly thaat it affects all aspects of life. Technological developments also affect data growth, which allows data to continue to grow every day. There is a large amount of data that is around us but is not useful for human purposes if the data is not processed and analyzed into patterns, models, or knowledge[1]. These problems can be overcome by applying data mining methods, namely the process of discovering new patterns from very large datasets, which includes slice methods from artificial intelligence, machine learning, statistics, and databases[2][3]. One improvement that has been made in data mining is how to browse existing data to build a model, then use the model to recognize other data patterns that are not in the stored database[4]. Data mining can be qualified as a science and technology because it is able to provide something new to solve the problems at hand [5][6]. CV workshop. Dian Abadi Jaya is a company engaged in the repair and sale of spare parts for four-wheeled vehicles, which is located on Jalan Kimaja No. 70 Way Halim, Bandar Lampung. The services offered include tune ups, oil changes, and light services like AC repairs. As a company that has quite a lot of customers every day, the volume of transaction data generated will also increase[2][3]. Based on the results of interviews with the salesperson, CV Dian Abadi Jaya can serve 5 to 8 vehicles every day. The transaction data [7]is processed according to the company's needs, such as expense reporting, income reporting, as well as the number of transactions in each particular month[8][9]. Often, the arrangement of goods that is used in the storage warehouse causes the mechanic to find it difficult to find the needed goods because the location of the goods is not in accordance with the habits of transactions made by the customer. In addition, some inappropriate placement of goods in