Programs TRAMO and SEATS, that contain an ARIMA-model-based methodology, are applied for seasonal adjustment and trend-cycle estimation of the exports, imports, and balance of trade Japanese series. The programs are used in an automatic mode, and the results are found satisfactory. It is shown how the SEATS output can be used to discriminate among competing models. Finally, using the balance of...

Peluang penggunaan pupuk organik akan semakin besar dengan sadarnya para petani pengaruh buruk kimia pada tanah yang bisa membuat menjadi tidak subur. Tetapi untuk jumlah permintaan fluktuatif PT. Petrokopindo Cipta Selaras (PCS) harus perencanaan produksi terencana sehingga menjual sesuai Petrokimia Gresik (PG) selaku penyalur organik. Penelitian ini dilakukan pabrik berada di Kabupaten Sidoar...

Multi-Task Learning (MTL) is a growing subject of interest in deep learning, due to its ability train models more efficiently on multiple tasks compared using group conventional single-task models. However, MTL can be impractical as certain dominate training and hurt performance others, thus making some perform better model multi-task one. Such problems are broadly classified negative transfer,...

Semantic Differencing for Numerical Programs Nimrod Partush and Eran Yahav

The purpose of this study is to compare the 3 forecasting methods Linear Regression, Exponential Smoothing and Weighted Moving Average based on smallest error value or close zero. From results study, Regression method was obtained as correct with a predicted 502 students, MAD 27.83, MSE 1152.1 MAPE 8.1%. Tracking Signal moves between 1 -1, movement within control limits tracking signal standard...