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Setiyowati, Ririn
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Journal : Equiva

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Penerapan Stochastic Gradient Descent Support Vector Regression pada Data Laju Pertumbuhan Produk Domestik Bruto di Indonesia Arrazaq, Khamid Muhammad; Saputro, Dewi Retno Sari; Setiyowati, Ririn
Equiva Journal Vol 1 No 2 (2023)
Publisher : Jurusan Matematika dan Teknologi Informasi

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Abstract

Economic growth is defined as an increase in a country's income as measured using gross domestic product (GDP) data. The GDP growth rate tends to experience an upward trend even though fluctuates in each time period. This fluctuation will affect the decision of investors in investing or withdrawing capital. In this study, a regression model is applied to GDP growth rate data to help investors understand the pattern of GDP growth in the future. One of the regression models that can be used is support vector regression with stochastic gradient descent optimization algorithm (SGD-SVR). The results show that the SGD-SVR model is able to be applied to GDP growth rate data in Indonesia. In the training process, the MSE resulted was 0.2805 with a total of 360 iterations. Meanwhile, the testing process resulted in an MSE of 0.0325.
Co-Authors Amelia, Cynthia Rizky Arrazaq, Khamid Muhammad Dewi Retno Sari Saputro, Dewi Retno Diah Nur Hidayati Elnatan Dimas Aditya Endang Sulastri Handajani, Sri Sulistijowati Haning Puspita, Aulia Salsabila Hidayati, Diah Nur Irsalinda, Nursyiva Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Khurdi, Nughthoh Arfawi Martini, Titin Sri Mulyani, Sabrina Sri Nughthoh Arfawi Kurdhi, Nughthoh Arfawi Nugroho Arif Sudibyo Nur Azizah Pangadi Pangadi Pangadi, Pangadi Purnami Widyaningsih Rachmawati, Zahra Febrilia Ramadhani, Shinta Nur Pratiwi Rasyidah, - S Siswanto Slamet Krismanto Supriyadi Wibowo Sutanto Sutanto sutanto sutanto Sutanto Sutanto Sutrima Sutrima Tri Lestari Usdianto, Dwitama Alphin Venna Ade Riestiana Vika Yugi Kurniawan Winaro, Bowo