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All Journal Jurnal Teknologi Informasi MURA Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Scientific Journal of Informatics Journal of Computer and Information Systems Ampera Bulletin of Information Technology (BIT) Jurnal Teknologi Informasi Mura Jurnal Komputer dan Teknologi (JUKOMTEK) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Bunga Intan
Universitas Bina Insan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science Other

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SISTEM INFORMASI E-LIBRARY MENGGUNAKAN METODE WEB ENGINEERING Ihsan Alvindra; Cindi Wulandari; Bunga Intan
Jurnal Komputer dan Teknologi Vol 5 No 2 (2026): JUKOMTEK JULI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i2.454

Abstract

A digital library information system (E-Library) offers a solution to the challenges of library data management—previously handled manually—which often resulted in disorganized records and difficulties in retrieving information regarding books and members. This study aims to design and develop an E-Library information system for SMP Negeri Purwodadi using the Web Engineering method, encompassing user requirements analysis, system design, implementation, and testing. The Laravel framework serves as the core technology for building a robust and efficient backend system, while Black Box Testing ensures the system operates in accordance with user needs. The results demonstrate that the system enables students and staff to access book data, search collections, and manage member information digitally via a user-friendly interface. Testing confirms that the system meets functionality and reliability standards. This development fosters a more integrated, efficient, and secure library management process, thereby enhancing the quality of school library services and supporting digital transformation in education.
PREDIKSI HARGA SAHAM BANK NEGARA INDONESIA (BNI) BERDASARKAN HISTORICAL STOCK PRICE MENGGUNAKAN METODE GATED RECURRENT UNIT (GRU) Arina Kanuri; Elmayati Elmayati; Bunga Intan
Jurnal Komputer dan Teknologi Vol 5 No 2 (2026): JUKOMTEK JULI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i2.705

Abstract

The volatile nature of stock price movements necessitates a prediction method capable of accurately modeling time-series data patterns. This study aims to predict the stock price of Bank Negara Indonesia (Persero) Tbk (BNI) using the Gated Recurrent Unit (GRU) method, based on historical data from the 2020–2025 period. The dataset includes closing prices, trading volume, moving averages (MA_7 and MA_21), volatility, and high-low ratios. The research process encompasses preprocessing, feature engineering, Min-Max normalization, the creation of sequential data with a time step of 30, and the splitting of data into training and testing sets. The GRU model is trained using the Adam optimizer, incorporating ReduceLROnPlateau and Early Stopping mechanisms to enhance training stability and mitigate the risk of overfitting. Model performance is evaluated using MSE, RMSE, MAE, R², and MAPE metrics. The results demonstrate that the GRU model yields effective predictions, achieving a MAPE of 3.91%, an RMSE of 211.21, and an R² of 0.746. Stock price predictions for the upcoming 10 days indicate a trend of gradual price decline. These findings suggest that the GRU method is effective for predicting BNI stock prices based on historical data and holds potential for supporting investment decision-making, while acknowledging external factors that influence market conditions.
Co-Authors Abdul Qodir Ahmad Taqwa Martadinata Ali Amran Arina Kanuri Armanto Armanto Astrid Ayuzi Putri Hendri Hariadi Budi Santoso Cindi Wulandari Efranda, Nolan Elmayati Elmayati Fido Rizki Ihsan Alvindra Indah Lestari Muhamad Akbar Muhamad Salman Muhammad Irvai Rudi Kurniawan Sunardi, Lukman