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Fuad Muhajirin Farid
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RAGAM: Journal of Statistics and Its Application
Published by Universitas Lambung Mangkurat
ISSN : -     EISSN : 29628539     DOI : https://doi.org/10.20527/ragam.vXXX
Core Subject : Economy, Humanities, Health, Science, Education,
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health
RAGAM Journal publishes scientific articles in the field of statistics and its applications, including: * Biostatistics * Parametric and nonparametric statistics * Quality control * Econometrics and business * Industrial statistics * Time series analysis * Spatial statistics * Data mining * Computational statistics * Applications of statistics in the medical, economic, social, environmental, industrial, technological, and other related fields
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 2 Documents
 1 
Search results for , issue "Vol 3, No 2 (2024): RAGAM: Journal of Statistics " : 2 Documents clear
PENERAPAN ALGORITMA BACKPROPAGATION DENGAN ADAM OPTIMIZER DALAM MEMPREDIKSI HARGA BITCOIN TERHADAP USD Adi Andrian; Oni Soesanto; Sigit Dwi Prabowo
RAGAM: Journal of Statistics & Its Application Vol 3, No 2 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i2.13354

Abstract

Bitcoin is a currency that implements an online transaction system without involving banks. To investors, Bitcoin is seen as a promising investment instrument due to its consistent price increase every year. However, it is important to note that Bitcoin is also a high-risk investment instrument, requiring specific techniques to consider when making buy or sell decisions. Backpropagation is a method in Artificial Neural Networks known for its good ability to generate predictions. This method can adjust network weights to reduce prediction errors and does not require assumption testing to apply this method to data. The aim of this research is to implement the Backpropagation algorithm with the Adam Optimizer to predict Bitcoin prices against USD. This method will perform computational calculations to produce predictions close to the actual values. The research results in an optimal model with 5 input layers, 5 hidden layers, and 1 output layer. The training and testing data are divided with a ratio of 70% to 30%, and the maximum number of epochs used is 3000. The accuracy results using the backpropagation method optimized with the Adam Optimizer produced predictions with an average value of 46,346.91, a MAPE of 0.6962%, a MSE of 160,159.53, and a RMSE of 400.20.
ANALISIS PERAMALAN CUACA KOTA SURABAYA MENGGAnalisis Peramalan Cuaca Kota Surabaya Menggunakan Pendekatan Autoregressive Integrated Moving Average (ARIMA) UNAKAN PENDEKATAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) Latisa Alifa Maura; Nikmah Handayani; Devina Nadifa Nur Aulia; M. Al Haris
RAGAM: Journal of Statistics & Its Application Vol 3, No 2 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i2.12963

Abstract

Erratic weather is a crucial issue that can disrupt activities in all aspects. Weather monitoring needs to be done to avoid adverse consequences. ARIMA is one of the methods that can be used in weather forecasting because it is produce high accuracy, especially on short-term data. This research aims to get the best ARIMA model that produces accurate forecasting with the smallest error. Based on the research results, the best models obtained for temperature and humidity variables are (0,0,2) and (1,01) with MAPE values of 2.57% and 6.5%. Thus, the ARIMA model has very accurate forecasting performance.

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