Manurung, Reza Ajiardhana (2023) DATA MINING PENJUALAN ALAT TULIS KANTOR DENGAN ALGORITMA APRIORI PADA UD PERCETAKAN MATAHARI KISARAN. S1 thesis, STMIK Royal.
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Abstract
UD Percetakan Matahari Kisaran is a printing business that sells banners, office equipment, sports and art equipment, props, knowledge books located at Jalan Imam Bonjol No. 2 Kisaran (Simpang Tugu Pancasila). Starting from a screen printing industry, but slowly but surely in the end UD Percetakan Matahari Kisaran can now develop into a printing company that is larger than before, using machines that are arguably quite sophisticated and complete, ranging from offset printing machines, cutting machines, film machines, plong machines and digital printing machines. The problem that occurs at UD Percetakan Matahari Kisaran is that every day UD Percetakan Matahari Kisaran conducts transactions for Office Stationery ordered by various groups. So far, the use of sales transaction data at UD Solar Printing has only been stored as an archive. In fact, this data can be utilized and processed into useful information for increasing product sales and product innovation. In this case, it is necessary to analyze transaction data to obtain sales patterns. With information about sales patterns, UD Percetakan Matahari Kisaran can find out what consumers buy most often. So that from consumer purchasing patterns as well, decision making can be done by UD Percetakan Matahari Kisaran related to the products to be sold. Based on the results of the final process review rule obtained from the program that was run that the association rules were produced as many as 12 association rules, where the support set was 05 and confidence was set at 95.
Keywords : UD Percetakan Matahari Kisaran, Office Stationery, Apriori
Item Type: | Thesis (S1) |
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Subjects: | L Education > L Education (General) L Education > LB Theory and practice of education L Education > LB Theory and practice of education > LB1501 Primary Education |
Divisions: | Falkultas Ilmu Komputer > Sistem Informasi |
Depositing User: | Reza ajiadhana Manurung |
Date Deposited: | 13 May 2025 03:09 |
Last Modified: | 13 May 2025 03:10 |
URI: | https://eprints.universitasroyal.ac.id/id/eprint/53 |