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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Media Teknik Elektro dan Komputer
Baihaqi, Abdullah Afif
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Computer Science & IT Electrical & Electronics Engineering

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K-Nearest Neighbors (KNN) to Determine BBRI Stock Price Baihaqi, Abdullah Afif; Fakhriza, M.
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5098

Abstract

Sales prediction is a calculation aimed at forecasting future conditions by analyzing past situations. The research method used in this study is the Research and Development (RnD) method. The modeling employs the K-Nearest Neighbor algorithm, utilizing data processed through the Knowledge Discovery in Database (KDD) stages. The objective of this research is to obtain a predictive model that can preprocess structured product data, enabling it to present a forecast for the public regarding the general overview of BBRI stock price determination, as well as to provide recommendations for BBRI stock prices that have been classified by the researcher using the K-Nearest Neighbor method. The results of the stock price prediction indicate fluctuations in value during the period, where the model is capable of capturing trends in stock price changes based on historical data. For example, on February 10, 2025, the stock price is predicted to be 4867.020, while on February 15, 2025, it rises to 5101.620. This demonstrates that the k-NN method can analyze stock price movement patterns by considering the nearest neighbors from previous data. The k-NN method has proven effective in studying historical data patterns and generating structured predictions.
Sistem Pengambilan Keputusan Prioritas Surat Bantuan Dana Untuk Pendidikan Dengan Metode Top Down Parsing Ilhami, A.Mika; Hadiansyah, M. Nauval Hafizh; Baihaqi, Abdullah Afif; Khalid, Ikhsan Putra
Jurnal Media Teknik Elektro dan Komputer Vol 1 No 1 (2024): Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65371/metrokom.v1i1.27

Abstract

This research proposes and applies a decision-making system to determine priorities in the allocation of educational funding assistance letters by utilizing the Top-Down Parsing method. The aim of this research is to increase efficiency in managing the allocation of education funds through the implementation of parsing technology for analysis and processing of letters requesting financial assistance. This system is designed to automatically analyze sentence structures, identify relevant information, and determine funding allocation priorities based on predetermined criteria. Through simulation experiments, this research evaluates the effectiveness and accuracy of the system in prioritizing letters requesting funding for education. The research results show that the application of the Top-Down Parsing method in the decision-making system is able to increase efficiency in the education fund allocation process. Nonetheless, this research highlights the need for regular maintenance and updating to maintain analytical accuracy.
Co-Authors Fakhriza, M. Hadiansyah, M. Nauval Hafizh Ilhami, A.Mika Khalid, Ikhsan Putra