PENENTUAN POLA TINGKAT PEMESANAN BARANG INVENTARIS KANTOR MENGGUNAKAN ALGORITMA APRIORI
| dc.contributor.author | Albi, Albi | |
| dc.contributor.supervisor | Fitriansyah, Aidil | |
| dc.date.accessioned | 2023-07-25T02:13:00Z | |
| dc.date.available | 2023-07-25T02:13:00Z | |
| dc.date.issued | 2023-05 | |
| dc.description.abstract | The development of technology is growing along with the needs of its users. With the development of technology, it can solve many problems that were previously solved in a conventional way. One of the problems that can be solved by technology development is problems in the office sector. The Inspectorate of Kampar needs a system to process data that can produce inventory ordering data that is often ordered so that it becomes a reference for adding stock items. One of the data processing technique that can be used is the Apriori algorithm, because the apriori algorithm is one of the best algorithms in data mining so that it can get association rules from data and information on the order level of office inventory items. This research uses data on the order level of office inventory items for the period January 2018 to December 2022 as much as 298 data with 51 items of inventory ordered for each date. This research uses a minimum support value of 2% and a minimum confidence of 26% so as to produce a pattern of 54 rules with the highest value being the combination of box file and color hvs folio paper with a support value of 5.03% and a confidence value of 31.91%. The resulting association rules then formed the best strategy recommendations for the Kampar Inspectorate to take a decision in making orders so as to reduce the ordering of excessive inventory items and increase productivity. | en_US |
| dc.description.sponsorship | Fakultas Matematika dan Ilmu Pengetahuan Alam | en_US |
| dc.identifier.citation | Perpustakaan | en_US |
| dc.identifier.other | Elfitra | |
| dc.identifier.uri | https://repository.unri.ac.id/handle/123456789/11053 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elfitra | en_US |
| dc.subject | Inventory Order Level Pattern | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Association Rule | en_US |
| dc.subject | Apriori Algorithm | en_US |
| dc.title | PENENTUAN POLA TINGKAT PEMESANAN BARANG INVENTARIS KANTOR MENGGUNAKAN ALGORITMA APRIORI | en_US |
| dc.type | Article | en_US |