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All Journal Semantik Jurnal Simetris Jurnal Informatika Seminar Nasional Informatika (SEMNASIF) Jurnal Informatika Upgris SISFOTENIKA JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Tekinkom (Teknik Informasi dan Komputer) Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Prosiding Konferensi Nasional PKM-CSR Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Publikasi Hasil Pengabdian Kepada Masyarakat. Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Data Analytics, Information, and Computer Science (JDAICS) Jurnal Computer and Technology Jurnal Pelayanan Masyarakat Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan
Hendrik Fery Herdiyatmoko
Prodi Informatika, Universitas Katolik Musi Charitas Palembang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Other

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PENERAPAN ALGORITMA RANDOM FOREST REGRESSION DALAM PREDIKSI HARGA SAHAM BBRI: IMPLEMENTATION OF THE RANDOM FOREST REGRESSION ALGORITHM FOR PREDICTING BBRI STOCK PRICES Winardi, Kevin; Nugroho, Yulianus Febry Tri; Johannes; Herdiatmoko, Hendrik Fery
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 17 No. 1 (2026): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol17no1.p9-18

Abstract

Pergerakan harga saham dipengaruhi oleh berbagai faktor dan bersifat fluktuatif, sehingga diperlukan metode prediksi yang mampu menangkap pola data yang kompleks. Penelitian ini bertujuan untuk memprediksi harga saham menggunakan metode Random Forest Regression. Data yang digunakan dibagi menjadi data pelatihan dan data pengujian untuk mengevaluasi kinerja model. Kinerja model dievaluasi menggunakan beberapa metrik, yaitu Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), dan koefisien determinasi (R²). Hasil penelitian menunjukkan bahwa model Random Forest Regression setelah optimasi menghasilkan nilai MAE sebesar 64,02,  RMSE sebesar 84,51, dan R² sebesar 0,8484. Nilai-nilai tersebut mengindikasikan bahwa model memiliki tingkat kesalahan prediksi yang rendah dan mampu menjelaskan 84,84% variasi pada data harga saham. Berdasarkan hasil tersebut, dapat disimpulkan bahwa Random Forest memiliki kinerja yang baik dan cukup andal dalam memprediksi harga saham.   Stock price movements are influenced by various factors and exhibit high volatility, making accurate prediction a challenging task. This study aims to predict stock prices using the Random Forest Regression method. The dataset is divided into training and testing sets to evaluate the model’s performance. The performance of the model is assessed using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and the coefficient of determination (R²). The results show that the Random Forest Regression model after optimization achieves an MAE of 64,02, an RMSE of 84,51, and an R² value of 0.8484. These results indicate a low prediction error and demonstrate that the model is able to explain 84.84% of the variance in stock price data. Therefore, it can be concluded that Random Forest is an effective and reliable method for stock price prediction.
Edukasi Interaktif: Literasi Digital dan Etika Bermedia Sosial Bagi Peserta Didik Baru SMK Xaverius Palembang Jevanda BS, Klaudius; Hermawan, Latius; Nurmansyah, Wawan; Fery Herdiyatmoko, Hendrik; Ninda Permata Nugraha, Fransiska
Jurnal Pelayanan Masyarakat Vol. 3 No. 2 (2026): Juni: JPM :Jurnal Pelayanan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/jpm.v3i2.3175

Abstract

In today’s world, social media has become an everyday necessity for interacting and socializing with others, but it has both positive and negative effects, particularly on the younger generation. The roles of parents and educators are crucial in building digital resilience among the younger generation, such as the new students at SMK Xaverius Palembang. One solution is to provide early education to new students during the School Environment Orientation Program. The UKMC Community Service Team served as guest speakers, presenting material on digital literacy and social media ethics, along with real-life case studies, to the incoming students for the 2025/2026 academic year on Thursday, July 17, 2025, in the auditorium of SMK Xaverius Palembang. The method used involved an interactive educational approach, in which the team presented five questions related to online gambling, fake news, cyberbullying, explicit content, and ending human trafficking in the form of digital posters, and the students explained them. The team also provided real-life examples and explained the causes and effects. The purpose of this activity is to educate new students at SMK Xaverius Palembang to improve their understanding of digital literacy and social media ethics, and to encourage them to use social media more wisely. According to the research findings, the activity proceeded as planned, and the students were very enthusiastic about participating in the discussion and answering questions using digital posters.
Co-Authors Achmad Alfian Adha , M. Fathir Adi Prananda, Patrik Galih Alvaro, Hadi Anselmus Agung Pramudito Arini, Diana Putri Cevin, Jery Devi, Natalia Regina Diana Putri Arini Dwi Normawati, Dwi Fransiska Ninda Permata Nugraha Fransiska Soejono Gultom, David Hadi Alvaro Hendri Syaputra Herdiyanto, H.Y. Ary Indriasari, Bernadine Ajeng J.M.Sri Narhadi Jevanda BS, Klaudius Johannes Klaudius Jevanda BS Latius Hermawan M. Fathir Adha Meylinda Mulyati Muhamad Septian Natalia Regina Devi Ninda Permata Nugraha, Fransiska Nugroho, Yulianus Febry Tri Orlando, Nikolas Patrik Galih Adi Prananda Pratama, Yohanes Dicka Putiastanti, Stevani Fatrisia Rendy Saputra riyanto, agustinus Saputra, Laurensius Sirwanti Septian , Muhamad Stevani Fatrisia Putiastanti Theresia Sunarni wawan nurmansyah Wawan Nurmansyah, Wawan Winardi, Kevin Windriani, H.Y. Wayan Windriani, Wayan Yohanes Dika Pratama