Time series are one of the most common data types encountered by data scientists and, in
the context of today's exponentially increasing data, learning how to best model them to …

Non-oil and gas exports could be forecasted using exponential smoothing for future periods.
This study examines non-oil and gas export data in Indonesia from January 2015 to May …

Prediksi (forecasting) dapat membantu perusahaan untuk menentukan jumlah penjualan
barang di masa yang akan datang, sehingga perusahaan dapat memutuskan untuk …

Pariwisata merupakan sektor penghasil devisa penting di Indonesia. Dalam industri
pariwisata, ketepatan dan kelengkapan prakiraan yang baik diperlukan dari pembuat …

The purpose of this paper is to apply forecasting methods to forecast the electricity demand
in Thailand. Demand forecasts will be used to estimate the imported coal order quantity in …

Tingkat persaingan antar perusahaan dalam melakukan pemasaran produknya semakin
pesat sehingga dituntut untuk memahami pentingnya hubungan antara lingkungan …

In this study, we develop forecast models for incoming calls at a call center of a commercial
bank in Thailand. We found that incoming calls are non-stationary. Normally, the number of …

Budgeting for highly capital-intensive activities such as course material development, hiring
of facilitators and conduct of examinations in Open and Distance Learning (ODL) institutions …