Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi
Indoor positioning system issue is an open problem that still needs some improvements. This research explores the utilization of multilayer perceptron in determining someone’s position inside a building or a room, which generally known as Indoor Positioning System. The research was conducted in some...
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| Format: | Article |
| Language: | English |
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Diponegoro University
2017-07-01
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| Series: | Jurnal Teknologi dan Sistem Komputer |
| Subjects: | |
| Online Access: | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12932 |
| _version_ | 1827333772066947072 |
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| author | Yuan Lukito |
| author_facet | Yuan Lukito |
| author_sort | Yuan Lukito |
| collection | DOAJ |
| description | Indoor positioning system issue is an open problem that still needs some improvements. This research explores the utilization of multilayer perceptron in determining someone’s position inside a building or a room, which generally known as Indoor Positioning System. The research was conducted in some steps: dataset normalization, multilayer perceptron implementation, training process of multilayer perceptron, evaluation, and analysis. The training process has been conducted many times to find the best parameters that produce the best accuracy rate. The experiment produces 79,16% as the highest accuracy rate. Compared to previous research, this result is comparably lower and needs some parameters tweaking or changing the neural networks architectures. |
| first_indexed | 2024-03-07T17:34:21Z |
| format | Article |
| id | doaj.art-ac0c539a2f684534b0f30fdc77621f1e |
| institution | Directory Open Access Journal |
| issn | 2338-0403 |
| language | English |
| last_indexed | 2024-03-07T17:34:21Z |
| publishDate | 2017-07-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Jurnal Teknologi dan Sistem Komputer |
| spelling | doaj.art-ac0c539a2f684534b0f30fdc77621f1e2024-03-02T17:17:29ZengDiponegoro UniversityJurnal Teknologi dan Sistem Komputer2338-04032017-07-015312312810.14710/jtsiskom.5.3.2017.123-12812716Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-FiYuan Lukito0https://orcid.org/0000-0002-2348-7056Department of Informatics, Universitas Kristen Duta Wacana, IndonesiaIndoor positioning system issue is an open problem that still needs some improvements. This research explores the utilization of multilayer perceptron in determining someone’s position inside a building or a room, which generally known as Indoor Positioning System. The research was conducted in some steps: dataset normalization, multilayer perceptron implementation, training process of multilayer perceptron, evaluation, and analysis. The training process has been conducted many times to find the best parameters that produce the best accuracy rate. The experiment produces 79,16% as the highest accuracy rate. Compared to previous research, this result is comparably lower and needs some parameters tweaking or changing the neural networks architectures.https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12932indoor positioning systemwi-fi positioningmultilayer perceptron |
| spellingShingle | Yuan Lukito Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi Jurnal Teknologi dan Sistem Komputer indoor positioning system wi-fi positioning multilayer perceptron |
| title | Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi |
| title_full | Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi |
| title_fullStr | Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi |
| title_full_unstemmed | Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi |
| title_short | Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi |
| title_sort | multi layer perceptron model for indoor positioning system based on wi fi |
| topic | indoor positioning system wi-fi positioning multilayer perceptron |
| url | https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/12932 |
| work_keys_str_mv | AT yuanlukito multilayerperceptronmodelforindoorpositioningsystembasedonwifi |