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All Journal Jurnal Media Komunikasi Pendidikan Pancasila dan Kewarganegaraan Jurnal Teknik Informatika (JUTIF)
Setiyawan, Sitti Ayuningrum
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Computer Science & IT Education

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OPTIMIZATION OF STOCK PRICE PREDICTION WITH RIDGE REGRESSION AND HYPERPARAMETER SELECTIONS Marwa, Adeline Fellita; Setiyawan, Sitti Ayuningrum; Cahyani, Yonaka Titin Nur; Cahyono, Hasan Dwi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.2384

Abstract

Stock price prediction is a topic that has garnered significant attention in the investment world and has been the subject of various studies. Despite the massive attention, predicting stock price movements using algorithms remains challenging as the algorithms must be agile and highly adaptive to movement trends. Recent studies using deep learning methods for stock price prediction show that deep learning methods have high reliability. However, their computational complexity limits widespread implementation. This study aims to predict Netflix stock prices using a linear regression model with ridge and hyperparameter optimisation. The research consists of three stages: data preprocessing, building a linear regression model with ridge, and predicting and visualizing results. The dataset used is historical Netflix stock price data from 2017 to 2022. In the preprocessing stage, the data was normalized using MinMaxScaler and split into training and test sets. A ridge regression model was built with hyperparameter alpha optimization using GridSearch. Predictions were compared to stock prices and evaluated using Root Mean Squared Error (RMSE). The ridge regression model with hyperparameter optimization performed best with an RMSE of 13.8082. Although the linear regression model demonstrated the fastest execution time of 0.7717 seconds, the ridge regression model with hyperparameter optimization provided an optimal balance between prediction accuracy and time efficiency.
Menjaga Nilai Persatuan dan Kesatuan Bangsa di Tengah Polemik Pandemi Covid Setiyawan, Sitti Ayuningrum
Jurnal Media Komunikasi Pendidikan Pancasila dan Kewarganegaraan Vol. 5 No. 2 (2023): Oktober, Jurnal Media Komunikasi Pendidikan Pancasila dan Kewarganegaraan
Publisher : Program Studi PPKn Jurusan Hukum dan Kewarganegaraan Undiksha Singaraja

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Abstract

Warga Indonesia terdiri atas suku, budaya, agama, ras, etnis dan kebiasaan yang beragam sehingga membuat bangsa Indonesia dikenal dengan bangsa yang mejamuk. Ditambah lagi dengan latar belakang budaya (cultural background) yang dimiliki bangsa Indonesia membuatnya juga dikenal sebagai masyarakat multikultural. Bhinneka Tunggal Ika ialah semboyan bangsa Indonesia memiliki makna bahwa meskipun Indoensia terdiria atas beragam suku, budaya, agama, ras, etnis, kebiasaan dan lain sebagainya tetapi menjadikan bangsa Indonesia satu kesatuan yang sebangsa setanah air. Hal ini juga sesuai dengan isi Pancasila pada sila ke 3 yang berbunyi: “Persatuan Indonesia”. Meskipun begitu, generasi sekarang mengalami perubahan yang signifikan, sehingga cukup banyak dampak nya terhadap persatuan dan kesatuan. Maka dari itu pentingnya kerja sama antara masyarakat Indonesia dan pemerintah dalam menjaga persatuan dan kesatuan, terlebih lagi mewabah nya virus Covid-19.
Co-Authors Cahyani, Yonaka Titin Nur Hasan Dwi Cahyono Marwa, Adeline Fellita