Fuzzy Inference System Mamdani dan The Mean Absolute Percentage Error (MAPE) untuk Prediksi Permintaan Dompet Pulsa pada XL Axiata Depok [PDF]
Jurnal Informatika Universitas Pamulang, 2017 Kemajuan perkembangan teknologi informasi pada era globalisasi sekarang ini sangat pesat; hal ini menuntut setiap Perusahaan untuk dapat saling bersaing dalam dunia bisnis yang dinamis dan penuh persaingan.
Junianto, M. B. (Mochammad)
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VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends
Journal of Electrical Systems and Information Technology, 2023 The analysis of the high volume of data spawned by web search engines on a daily basis allows scholars to scrutinize the relation between the user’s search preferences and impending facts. This study can be used in a variety of economics contexts.
Williams Kwasi Adu +2 more
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A comprehensive approach on predicting the crop yield using hybrid machine learning algorithms
Journal of Agrometeorology, 2022 Crop yield prediction is a complex task which uses historical data to predict how much yield can be obtained in a particular year. To predict accurate crop yield, a novel deep neural network named crop yield predicting deep neural network with XGBoost ...
KRITHIKHA SANJU SARAVANAN +1 more
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Using the Mean Absolute Percentage Error for Regression Models [PDF]
, 2015 We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE ...
De Myttenaere, Arnaud +3 more
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FORECASTING PRICES OF FERTILIZER RAW MATERIALS USING LONG SHORT TERM MEMORY [PDF]
, 2022 This study uses long short term memory (LSTM) modeling to predict time series data on the price of fertilizer raw materials, namely prilled urea, granular urea, ammonium sulphate((NH4)2SO4), ammonia (NH3), diammonium phosphate((NH4)2HPO4 ), phosphoric ...
Ivan, Eliansion +1 more
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Application of Artificial Neural Network to Solar Potential Estimation in Hilly Region of India [PDF]
Journal of Renewable Energy and Environment, 2022 The use of these conventional resources causes continuous depletion of fossil fuels and increased greenhouse effect. Solar power is the major renewable resource used for power generation across the globe.
Rahul Dogra, Sanjay Kumar, Nikita Gupta
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Improving Lettuce Fresh Weight Estimation Accuracy through RGB-D Fusion
Agronomy, 2023 Computer vision provides a real-time, non-destructive, and indirect way of horticultural crop yield estimation. Deep learning helps improve horticultural crop yield estimation accuracy. However, the accuracy of current estimation models based on RGB (red,
Dan Xu +3 more
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A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil [PDF]
, 2021 Malaysia is a significant export country of palm oil to all over the world. Therefore, forecasting of palm oil export is required to help in boosting the nation’s socioeconomic development as well as for the plantation companies to sustain and ...
Chai, Kah Chun
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Sutte Indicator: an approach to predict the direction of stock market movements [PDF]
, 2018 The purpose of this research is to apply technical analysis of Sutte Indicator in stock trading which will assist in the investment decision making process i.e. buying or selling shares. This research takes data of "A" on the Indonesia Stock Exchange(IDX
Ahmar, Ansari Saleh
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A review on Black-Scholes model in pricing warrants in Bursa Malaysia [PDF]
, 2016 This paper studies the accuracy of the Black-Scholes (BS) model and the dilution-adjusted Black-Scholes (DABS) model to pricing some warrants traded in the Malaysian market.
Abdul Rahim, Norhuda +2 more
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