2 10 11 https://repository.horizon.ac.id/files/original/d31c621344e182d48e1863295372e568.pdf fb0b6e3b8dd1728cd9c1b5152b1393e1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Vol 8 No 4 (2024) Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Improved Backpropagation Using Genetic Algorithm for Prediction of Anomalies and Data Unavailability Subject The topic of the resource data prediction;backpropagation;genetic algorithm;survey data Description An account of the resource Anomalies and data unavailability are significant challenges in conducting surveys, affecting the validity, reliability, and accuracy of analysis results. Various methods address these issues, including the Backpropagation Neural Network (BPNN) for data prediction. However, BPNN can get stuck in local minima, resulting in suboptimal error values. To enhance BPNN's effectiveness, this study integrates Genetic Algorithm (GA) optimization, forming the BPGA method. GA is effective in findingoptimal parameter solutionsand improving prediction accuracy. This research uses data from the 2022 National Socio-Economic Survey (Susenas) in Solok District to compare the prediction performance of BPNN, Multiple Imputation (MI), and BPGA methods. The comparison involves training the models with a subset of the data and testing their predictions on a separate subset. The BPGA method demonstrates superior accuracy, with the lowest mean squared error (MSE) and highest average accuracy, outperforming both BPNN and MI method Creator An entity primarily responsible for making the resource Gunadi Widi Nurcahyo1*,Akbari Wafridh2, Yuhandri Source A related resource from which the described resource is derived https://jurnal.iaii.or.id/index.php/RESTI/article/view/5507/947 Publisher An entity responsible for making the resource available Universitas Putra Indonesia “YPTK” Padang, Indonesia Date A point or period of time associated with an event in the lifecycle of the resource 04-08-2024 Contributor An entity responsible for making contributions to the resource FAJAR BAGUS W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT