RANCANG BANGUN ALAT UKUR SUHU DAN KELEMBABAN TANAH MENGGUNAKAN ARDUINO UNO DENGAN PERHITUNGAN MAPE (MEAN ABSOLUTE PERCENTAGE ERROR) PADA LAHAN PERKEBUNAN [PDF]
ELECTRA : Electrical Engineering Articles, 2022 <p>Pada saat ini petani kebun sangat kesusahan mencari sebuah alat karena tidak adanya sosialisasi tentang tekhnologi alat ukur suhu dan kelembaban dan alat ukur suhu dan kelembaban yang sudah ada termasuk mahal. Penelitian ini dilaksanakan di Perkebunan Teh Kemuning Kecamatan Ngargoyoso Kabupaten Karanganyar dan Perkebunan Jagung dan Tebu di ...
Dwiki Fitrianto, Churnia Sari
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Forecasting Bitcoin using Double Exponential Smoothing Method Based on Mean Absolute Percentage Error [PDF]
JOIV: International Journal on Informatics Visualization, 2020 — After being introduced in 2008, the rise in the price of bitcoin and the popularity of other cryptocurrencies triggered a growing discussion about how much energy was consumed during the production of this currency.
F. Liantoni, A. Agusti
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Analisis Error Terhadap Peramalan Data Penjualan [PDF]
, 2021 Tujuan penelitian ini membahas tentang peramalan permintaan lampu LED bermerk Sanyo. Penelitian ini menggunakan metode Moving Average dan Exponential Smoothing .
Alyauma Hajjah, Yulvia Nora Marlim
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Using the R-MAPE index as a resistant measure of forecast accuracy. [PDF]
Psicothema, 2013 BACKGROUND The mean absolute percentage error (MAPE) is probably the most widely used goodness-of-fit measure. However, it does not meet the validity criterion due to the fact that the distribution of the absolute percentage errors is usually skewed to ...
J. J. Montaño Moreno +3 more
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New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods. [PDF]
PLoS ONEThis research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong +1 more
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Comparative analysis on forecasting methods and how to choose a suitable one: case study in financial time series [PDF]
Mathematics and Modeling in Finance, 2023 Forecasting in the financial markets is vital for informed decision-making, risk management, efficient capital allocation, asset valuation, and economic stability. This study thoroughly examines forecasting techniques to predict the 30-day closing prices
Mahdi Goldani
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ACCRUED FORECASTING ON TOURIST’S ARRIVAL IN BANGLADESH FOR SUSTAINABLE DEVELOPMENT [PDF]
Geo Journal of Tourism and Geosites, 2021 Forecasting of potential tourists’ appearance could assume a critical role in the tourism industry, arranging at all levels in both the private and public sectors.
Sayed Mohibul HOSSEN +3 more
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Indian natural rubber price forecast–An Autoregressive Integrated Moving Average (ARIMA) approach
The Indian Journal of Agricultural Sciences, 2022 The objective of this study was to forecast the price of natural rubber in India during April 2019 to March 2020 by employing autoregressive integrated moving average (ARIMA).
SHYJU MATHEW, RAMASAMY MURUGESAN
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Wind Speed Prediction Based on Statistical and Deep Learning Models
International Journal of Renewable Energy Development, 2023 Wind is a dominant source of renewable energy with a high sustainability potential. However, the intermittence and unstable nature of wind source affect the efficiency and reliability of wind energy conversion systems.
Ilham Tyass +5 more
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PeerJ Computer Science, 2021 Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables.
D. Chicco, M. Warrens, Giuseppe Jurman
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