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All Journal GANESHA CIVIC EDUCATION JOURNAL Jurnal Teknik Informatika (JUTIF)
Marwa, Adeline Fellita
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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.
IMPLEMENTASI NILAI-NILAI PANCASILA DALAM LINGKUNGAN UNIVERSITAS Marwa, Adeline Fellita; Najicha, Fatma Ulfatun
Ganesha Civic Education Journal Vol 5 No 1 (2023): April, Ganesha Civic Education Journal
Publisher : Program Studi PPKn Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/gancej.v5i1.5139

Abstract

Penelitian ini bertujuan untuk mendeskripsikan pemahaman mahasiswa tentang penerapan nilai-nilai Pancasila dalam kehidupan berbangsa. Nama Pancasila sendiri diambil dari Bahasa Sansekerta yaitu kata Panca yang artinyalima dan kata Sila yang berarti prinsip atau asas. Lalu setelah sejarah terbentuknya Pancasila, terdapat juga fungsi dan peranan Pancasila, kemudian yang terakhir terdapat penerapan nilai-nilai Pancasila terhadap mahasiswa. Metode yang akan digunakan adalah metode studi pustaka dengan instrumen kunci dalam penelitian ini yaitu peneliti sendiri. Metode penelitian ini menggunakan analisis pendekatan kualitatif, karena data yang dipaparkan berupa deskripsi yang diuraikan dalam bentuk pernyataan. Hasil penelitian menunjukkan Implementasi nilai-nilai pancasila bagi mahasiswa di lingkungan universitas bisa dilaksanakan dengan menumbuhkan sifat nasionalisme pada mahasiswa. Nasionalisme dapat dipupuk kembali dalam momentum-momentum yang tepat seperti pada saat peringatan hari sumpah pemuda, hari kemerdekaan, hari pahlawan, dan hari besar nasional lainnya.
Co-Authors Cahyani, Yonaka Titin Nur Hasan Dwi Cahyono Najicha, Fatma Ulfatun Setiyawan, Sitti Ayuningrum