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All Journal Jurnal Rekayasa Material, Manufaktur & Energi Jurnal Inovator
Fajri, Nural
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Aerospace Engineering Automotive Engineering Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Machine Learning-Based Regression Model for Predicting Global Horizontal Radiation and Global Horizontal Irradiance: A Case Study in Banda Aceh Fajar Sabri, M Salamul; Muhammad, Ikramullah; Rizqullah, Akbar; Fikri, Thaharul; Fajri, Nural; Mizanus Sabri, Faris Ahmad
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.26011

Abstract

Global Horizontal Radiation (GHR) and Global Horizontal Illumination (GHI) are critical environmental parameters that play a vital role in solar energy development, precision agriculture, and sustainable urban planning. However, their prediction remains challenging due to the high variability caused by atmospheric conditions. This study evaluates the performance of various machine learning models in predicting GHR and GHI using a comprehensive dataset comprising 29 environmental features. The models tested include Linear Regression, Random Forest Regressor, XGBoost Regressor, LightGBM Regressor, Support Vector Regressor (SVR), and Artificial Neural Network (ANN). The results consistently show that ensemble-based models, particularly LightGBM Regressor, provide the best predictive performance for both target variables, achieving very high R-squared values (approaching 0.999). XGBoost and Random Forest also demonstrate highly competitive performance. ANN performs well, while Linear Regression and SVR show lower accuracy. These findings underscore the significant potential of advanced machine learning models in predicting environmental parameters with high accuracy, which has important implications for renewable energy optimization, smart agriculture, and sustainable urban planning.
Variasi Laju Aliran Air Panas Terhadap Efisiensi Dan Efektifitas Laju Perpindahan Panas Pada Alat Heat Exchanger Tipe Shell And Tube Dengan Aliran Searah Angga Bahri Pratama; Saragi, Jandri Fan HT; Al Qadry; Boangmanalu, Eka Putra Dairi; Sahat; Kadriadi; Fajri, Nural
Jurnal INOVATOR Vol. 6 No. 2 (2023): Jurnal INOVATOR
Publisher : LPPM Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/inovator.v6i2.252

Abstract

Heat exchanger merupakan suatu alat yang digunakan dalam proses perpindahan panas suatu fluida ke fluida lain tanpa adanya perpindahan massa dan dapat digunakan sebagai pemanas atau pendingin. Salah satu jenis heat exchanger yang sering digunakan dalam proses industri adalah shell and tube heat exchanger. Fokus penelitian ini adalah menghitung dan menganalisis efisiensi dan efektivitas laju perpindahan panas pada alat penukar panas tipe shell and tube dengan aliran searah. Metode pengumpulan data adalah pengamatan langsung terhadap alat, dengan selang waktu lima menit untuk setiap pengujian. Setelah dilakukan penelitian dan analisis, hasil penelitian ini menunjukkan bahwa pengaruh variasi aliran pada Vh = ±800 l/h, Vc = ±1000 l/h yang dibuat konstan pada tipe shell and tube, dapat disimpulkan semakin besar laju aliran panas maka semakin besar temperatur yang dihasilkan yaitu dengan temperatur 47.7°C, hal ini juga mempengaruhi waktu pengambilan data, dengan efisiensi yang diperoleh sebesar 146% dan efektifitas = 0.50.
Co-Authors Al Qadry Angga Bahri Pratama Boangmanalu, Eka Putra Dairi Fajar Sabri, M Salamul Fikri, Thaharul Kadriadi Mizanus Sabri, Faris Ahmad Muhammad, Ikramullah Rizqullah, Akbar Sahat Saragi, Jandri Fan HT