Comparison of Triple Exponential Smoothing and ARIMA in Predicting Cryptocurrency Prices | Prasetyo | International Journal of Engineering, Science and Information Technology

About The Authors

Adi Prasetyo
Universitas Malikussaleh
Indonesia

Department of Informatics

Nurdin Nurdin
Universitas Malikussaleh
Indonesia

Department of Information Technology

Hafizh Al Kautsar Aidilof
Universitas Malikussaleh
Indonesia

Department of Informatics

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Keywords Academic Services, Classification Model, Feature Selection, Recursive Feature Elimination, Student Complaints Activity, City, Transportation, Analytical Hierarchy Process Algorithm, RGB, HSV, Support Vector Machine, Papaya Bagasse, Lignin, Antioxidant, DPPH, Isolation Clustering, Agricultural Productivity, K-Medoids, North Aceh District, Web Application. E-commerce, Shopee, Lazada, Sentiment Analysis, Random Forest Education, Clustering, K-Means, K-Medoids, Davies-Bouldin Index (DBI). Expert System, Diagnosis, Comparison, Naive Bayes, Dempster Shafer Hashing, Rolling Hash, Computing, Dictionary, Medical Terms Height Detection, Image Processing, Russel & Rao Method, Borland Delphi 07, Detection Accuracy Linear Regression, Prediction, Support Vector Machine, Tourism Map, Technology, MSMEs, Economy, Research Netflix, Prediction, Simple Exponential Smoothing, Stock, Weighted Moving Average Occupational Health, Physical Recovery, Stress, Therapy, Well-being Operational Management, Consumer Behaviour, AIDA Model, McDonald's Marketing Strategy Ozone Sensor, Corona Effect, Corona Losses, Corona Detection Plagiarism, Detection, Thesis, Cosine Similarity, Rabin-Karp Rule-Based System, Financial Management, Student Financial Literacy, Financial Literacy Safety, Health, Work, Hazard, Operability, Hazop Spiral Steel Pipe 508, tensile strength, Metal Inert Gas Stability, Flow, Marshall Test, Carbon Nanotubes, Asphalt Mixture

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Copyright (c) 2024 Adi Prasetyo, Nurdin, Hafizh Al Kautsar Aidilof

International Journal of Engineering, Science, and Information Technology (IJESTY) eISSN 2775-2674

Published by Malikussaleh University, Indonesia

Editor E-mail: journalijesty@gmail.com

The works in IJESTY Journal are licensed under a Creative Commons Attribution 4.0 International Public License (CC BY 4.0).