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All Journal Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Muhamad Jamaris
universitas sains dan teknologi indonesia
Computer Science & IT

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Implementasi Algoritma Regresi Linear Untuk Memprediksi Harga Laptop Risky Harahap; Karpen,; Helda Yenni; Muhamad Jamaris
BETRIK Vol. 16 No. 02 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/rnnp7x70

Abstract

The development of laptop technology has driven the need for accurate price predictions to assist consumers in making purchasing decisions appropriately and efficiently. This study implements a Linear Regression algorithm to predict laptop prices based on 4 main features including Brand, Processor, RAM, and GPU. The dataset used consists of 11,768 data obtained from the Kaggle platform which is processed through preprocessing, feature transformation, and model evaluation stages with various performance metrics. The analysis results show that the RAM feature has the most significant influence on laptop prices, followed by Processor, Brand, and GPU. The developed Linear Regression model successfully achieved an R-squared value of 0.6453, which indicates that the model is able to explain 64.53% of the variation in laptop prices based on the analyzed features. This study contributes to the development of an accurate laptop price prediction system and provides a practical tool to support data-based purchasing decisions effectively and efficiently.
Penggunaan Chatbot pada Sistem Informasi Buku Berbasis Web Menggunakan Metode Natural Language Processing (NLP) m.rezki hamdani iki; Nurjayadi; Unang Rio; Muhamad Jamaris
BETRIK Vol. 17 No. 01 (2026): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/0b2p5329

Abstract

Advances in information technology require fast and effective information retrieval services, including in library book information systems. Manually searching for books in catalogs is often timeconsuming and slow to respond, especially as the number of books in libraries increases. This problem highlights the importance of creating an automated system that can provide information directly and timely. This research aims to create a web-based chatbot that can provide information about books, using Natural Language Processing (NLP) techniques to make information retrieval more effective. The research method includes analyzing system requirements, designing the system structure, implementing a natural language processing model with text preprocessing steps such as tokenization, case adjustment, and stemming, and testing the system's capabilities. The system was developed using a prototype method to suit user needs. Evaluation was conducted by testing the accuracy of answers and checking the level of user satisfaction. Testing showed that the chatbot can provide information about the title, author, publisher, year of publication, and location of a book with a 90% accuracy rate, measured by the extent to which the answers provided by the  chatbot match the user's questions. Furthermore, user test results indicate that this method is more efficient in saving search time than previous methods. So the use of NLP-based chatbots has been proven to help improve the quality and speed of providing information about books in libraries. 
Co-Authors Helda Yenni Karpen, m.rezki hamdani iki Nurjayadi Risky Harahap Unang Rio