TY - JOUR AU - Berkah Hani PY - 2019/03/19 Y2 - 2024/03/29 TI - Prediksi Slippage menggunakan Metode Regresi JF - Ultimatics : Jurnal Teknik Informatika JA - TI VL - 10 IS - 2 SE - Articles DO - https://doi.org/10.31937/ti.v10i2.940 UR - https://ejournals.umn.ac.id/index.php/TI/article/view/940 AB - slippage is important for lubricant around plunger. The accuracy slippage maximizes oil production. This paper explained several regression methods to predict slippage value. Several regression methods that is used for example Huber estimation, Ordinary Least Square, Theil-Sen Estimation, RANSAC estimation and Support Vector Machine-Regression ER -