COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION
Data imbalance occurs when the amount of data in a class is more than other data. The majority class is more data, while the minority class is fewer. Imbalance class will decrease the performance of the classification algorithm. Data on IUD contraceptive use is imbalanced data. National IUD failure...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Diponegoro
2020-06-01
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| Series: | Media Statistika |
| Subjects: | |
| Online Access: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/22998 |
| _version_ | 1818479017417768960 |
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| author | Mustaqim Mustaqim Budi Warsito Bayu Surarso |
| author_facet | Mustaqim Mustaqim Budi Warsito Bayu Surarso |
| author_sort | Mustaqim Mustaqim |
| collection | DOAJ |
| description | Data imbalance occurs when the amount of data in a class is more than other data. The majority class is more data, while the minority class is fewer. Imbalance class will decrease the performance of the classification algorithm. Data on IUD contraceptive use is imbalanced data. National IUD failure in 2018 was 959 or 3.5% from 27.400 users. Synthetic minority oversampling technique (SMOTE) is used to balance data on IUD failure. Balanced data is then predicted with neural networks. The system is for predicting someone when using IUD whether they have a pregnancy or not. This study uses 250 data with 235 major data (not pregnant) and 15 minor data (pregnant). From 250 data divided into two parts, 225 training and 25 testing data. Minority class on training data will be duplicated to 1524%, so that the amount of minority data become balanced with the majority data. The results of predictive with an accuracy rate of 99.9% at 1000 epoch. |
| first_indexed | 2024-12-10T09:55:36Z |
| format | Article |
| id | doaj.art-e805a6d849dd4745b6a802afa23b9386 |
| institution | Directory Open Access Journal |
| issn | 1979-3693 2477-0647 |
| language | English |
| last_indexed | 2024-12-10T09:55:36Z |
| publishDate | 2020-06-01 |
| publisher | Universitas Diponegoro |
| record_format | Article |
| series | Media Statistika |
| spelling | doaj.art-e805a6d849dd4745b6a802afa23b93862022-12-22T01:53:31ZengUniversitas DiponegoroMedia Statistika1979-36932477-06472020-06-01131364610.14710/medstat.13.1.36-4616944COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTIONMustaqim Mustaqim0Budi Warsito1Bayu Surarso2Badan Kependudukan dan Keluarga Berencana Provinsi Jawa TengahDepartment of Statistics, Diponegoro UniversityDepartment of Mathematics, Diponegoro UniversityData imbalance occurs when the amount of data in a class is more than other data. The majority class is more data, while the minority class is fewer. Imbalance class will decrease the performance of the classification algorithm. Data on IUD contraceptive use is imbalanced data. National IUD failure in 2018 was 959 or 3.5% from 27.400 users. Synthetic minority oversampling technique (SMOTE) is used to balance data on IUD failure. Balanced data is then predicted with neural networks. The system is for predicting someone when using IUD whether they have a pregnancy or not. This study uses 250 data with 235 major data (not pregnant) and 15 minor data (pregnant). From 250 data divided into two parts, 225 training and 25 testing data. Minority class on training data will be duplicated to 1524%, so that the amount of minority data become balanced with the majority data. The results of predictive with an accuracy rate of 99.9% at 1000 epoch.https://ejournal.undip.ac.id/index.php/media_statistika/article/view/22998smotebackpropagation neural networkpredictiud |
| spellingShingle | Mustaqim Mustaqim Budi Warsito Bayu Surarso COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION Media Statistika smote backpropagation neural network predict iud |
| title | COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION |
| title_full | COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION |
| title_fullStr | COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION |
| title_full_unstemmed | COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION |
| title_short | COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION |
| title_sort | combination of synthetic minority oversampling technique smote and backpropagation neural network to contraceptive iud prediction |
| topic | smote backpropagation neural network predict iud |
| url | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/22998 |
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