Results 1 to 10 of about 12,226 (126)

Performance Evaluation Against Cost and Time Using Earned Value Analysis (EVA) and Mean Absolute Percentage Error (MAPE)

Reka Buana : Jurnal Ilmiah Teknik Sipil dan Teknik Kimia
Development in the construction sector is rapidly advancing with technological progress. This research focuses on the Damaged Fence Repair project in Karawang, which has a total work length of 780 meters. This project is a response to fence damage that limits the area of PT. Pindo Deli is located along the river flow and in residential areas.
Desma Samosir, Retna Kristiana, Sediyanto Sediyanto   +2 more
openaire   +3 more sources

Forecasting Accuracy Analysis of Catering Raw Material Stock Using Simple Exponential Smoothing Based on Mean Absolute Percentage Error (MAPE)

International Journal Software Engineering and Computer Science (IJSECS)
In the catering industry, inaccurate inventory management often leads to significant food waste or stockouts due to highly volatile raw material demand, and conventional intuition-based procurement methods are no longer sufficient to maintain operational efficiency.
Dimas Eko Prasetyo, Endin Fahrudin
openaire   +3 more sources

What the mean absolute percentage error (MAPE) should adopt from Bland–Altman analyses

German Journal of Exercise and Sport Research
Abstract Reporting reliability with precision and accuracy is of paramount importance in empirical data collections to ascertain whether data is trustworthy. Reliability is often quantified using the intraclass correlation coefficient (ICC), from which the standard error of measurement (SEM) and the minimal detectable change (MDC) can
Konstantin Warneke, Stanislav D. Siegel, José Afonso, Sebastian Wallot   +3 more
openaire   +3 more sources

Mean Absolute Percentage Error (MAPE) dan Pengertiannya

Jurnal Pemanfaatan Teknologi untuk Masyarakat: Jurnal Pengabdian Masyarakat
Mean Absolute Percentage Error (MAPE) adalah metrik evaluasi yang umum digunakan dalam statistik dan machine learning untuk mengukur tingkat kesalahan prediksi dalam sebuah model regresi. MAPE sebaiknya digunakan ketika ingin mengukur tingkat kesalahan prediksi dalam persentase, sehingga cocok digunakan dalam kasus di mana perbedaan absolut antara ...
openaire   +3 more sources

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
doaj   +1 more source

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, Mohd Tahir ISMAIL, Mosab I. TABASH, Ahmed ABOUSAMAK   +3 more
doaj   +1 more source

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
doaj   +1 more source

RANCANG BANGUN ALAT UKUR SUHU DAN KELEMBABAN TANAH MENGGUNAKAN ARDUINO UNO DENGAN PERHITUNGAN MAPE (MEAN ABSOLUTE PERCENTAGE ERROR) PADA LAHAN PERKEBUNAN

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
openaire   +1 more source

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, Tajeddine Khalili, Mohamed Rafik, Bellat Abdelouahed, Abdelhadi Raihani, Khalifa Mansouri   +5 more
doaj   +1 more source

Intelligence based Accurate Medium and Long Term Load Forecasting System

Applied Artificial Intelligence, 2022
In this study, we aim to provide an efficient load prediction system projected for different local feeders to predict the Medium- and Long-term Load Forecasting.
Faisal Mehmood Butt, Lal Hussain, Syed Hassan Mujtaba Jafri, Haya Mesfer Alshahrani, Fahd N Al-Wesabi, Kashif Javed Lone, Elsayed M. Tag El Din, Mesfer Al Duhayyim   +7 more
doaj   +1 more source