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A Computational Physics–Based Machine Learning Modelling of Multiphase Flow Dynamics for Crude Oil Percentage Prediction Using Water Cut and Sediment Indicators Pebralia, Jesi; Amri, Iful; Amanda, Dwi Rahmah; Kurniawan, Muhammad Aziz
Jurnal Ilmu Fisika Vol 18 No 1 (2026): March 2026
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.18.1.80-92.2026

Abstract

Existing crude oil percentage prediction methods often rely on direct measurements and historical data, neglecting the coupled multiphase characteristics of oil–water–sediment systems, which limits predictive accuracy. This study develops a computational physics–based machine learning model integrating key multiphase production parameters, including water cut, basic sediment, and BS&W, using samples from PT. Pertamina Puspa Field Jambi. Data were split into two sets: one for model development and one for validation to prevent overfitting. Linear Regression, Support Vector Machine (SVM), and Random Forest algorithms were applied, with Linear Regression achieving the best performance. For the test dataset, the model yielded a Mean Absolute Error of 0.022168, a Mean Squared Error of 0.001227, and an accuracy of 0.99877, demonstrating precise capture of multiphase interactions. The proposed computational physics–based modelling framework provided improved predictive reliability and consistency. Correlation analyses indicated a coefficient of determination (R²) of 0.99 and a perfect negative correlation (r = −1) between BS&W and oil content, showing that higher BS&W corresponds to lower oil percentage. This framework offers improved predictive reliability and consistency for crude oil quality assessment.
PERAN LABORATORIUM VIRTUAL DALAM MENINGKATKAN KETERAMPILAN ABAD KE-21 (4C) PADA PEMBELAJARAN IPA : STUDI LITERATUR Ramadhona, Tyse; Lestari, Mutiah; Meilanie, Trista; Akhsan, Hamdi; Amri, Iful
LENSA (Lentera Sains): Jurnal Pendidikan IPA Vol. 16 No. 1 (2026): Mei 2026
Publisher : Faculty of Teaching and Education, University of Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/lensa.v16i1.876

Abstract

Peran Laboratorium Virtual Dalam Meningkatkan Keterampilan Abad Ke-21 (4C) Pada Pembelajaran IPA : Studi Literatur. Pendidikan abad ke-21 menuntut penguasaan keterampilan berpikir kritis, kreativitas, komunikasi, dan kolaborasi (4C). Dalam pembelajaran IPA, praktikum berperan penting untuk memfasilitasi pemahaman konsep sekaligus melatih keterampilan tersebut. Namun, keterbatasan laboratorium fisik di banyak sekolah menghambat pelaksanaan praktikum secara optimal. Laboratorium virtual menjadi alternatif yang memungkinkan peserta didik melakukan eksperimen interaktif tanpa bergantung pada fasilitas fisik. Kajian ini bertujuan menganalisis peran laboratorium virtual dalam mendukung pengembangan keterampilan abad ke-21 melalui telaah literatur artikel ilmiah terbitan 2018–2025. Hasil menunjukkan bahwa laboratorium virtual efektif meningkatkan keterampilan berpikir kritis, kreativitas, komunikasi, dan kolaborasi pada berbagai jenjang pendidikan. Selain itu, media ini mampu memperkuat pemahaman konseptual, meningkatkan motivasi belajar, serta menyediakan pengalaman eksperimen yang aman dan fleksibel. Dengan demikian, laboratorium virtual berkontribusi signifikan dalam peningkatan kualitas pembelajaran IPA. Dampaknya bagi pendidikan sains mencakup perluasan akses belajar, penguatan kemampuan berpikir tingkat tinggi, dan pengembangan inovasi praktikum digital.