Improved Fixed Asset Depreciation Performance on Odoo ERP System with Iterative Linear Search Algorithm

The depreciation of fixed assets makes the data access process become too large for Odoo application and causes problems in data handling. One of the solutions to deal with the problem of asset depreciation process can be done by using a linear search algorithm. In the process of searching for data assets, the performance of the algorithm will be improved by using an iterative linear search algorithm. From the research results it is known that depreciation assets using a search method without iterative has a long process and was even stopped by Odoo. The search method has been improved by using an iterative method in terms of access time and inprocess memory usage aspects. The search method without iteration has a result of 6472.3 MiB. As for the results of Iterative Linear Search Algorithm memory usage, it shows better results with a result of 3881.7 MiB. Meanwhile, in terms of access time, the search method without iteration has a result of 126.3863 s. While the access time required by the iterative linear search algorithm is 0.0215 s. From these results, the iterative linear search algorithm produces faster access times.