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dc.contributor.advisorSitorus, Tulus Burhanuddin
dc.contributor.authorDEMENICO, NICHOLAS
dc.date.accessioned2025-07-24T02:30:08Z
dc.date.available2025-07-24T02:30:08Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/106621
dc.description.abstractSolar radiation is a key factor in solar energy calculations, essential for various applications, particularly in solar power generation systems. This study estimates the parameters a₀, a₁, and k used in the solar radiation fraction equation based on the zenith angle using the curve fitting method. The dataset used consists of observations over the past five years in Medan, Indonesia. Zenith angle calculations were performed using astronomical equations based on the site's latitude, solar declination, and hour angle. Non-linear regression was applied to determine the optimal parameter values for the exponential model used. The results indicate that the curve fitting model effectively represents the relationship between the solar radiation fraction and the zenith angle with high accuracy, as evidenced by a determination coefficient (R² > 0.90). Model validation with observational data shows a low error rate, making it suitable for estimating solar radiation without direct measurement. This model has strong potential for optimizing solar energy systems and advancing renewable energy research.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectSolar Radiationen_US
dc.subjectZenith Angleen_US
dc.subjectCurve Fittingen_US
dc.subjectNon-Linear Regressionen_US
dc.subjectSolar Energyen_US
dc.titleMenentukan Koefisien Nilai A0,A1 dan K dari Perhitungan Fraksi Radiasi Menggunakan Metode Curve Fittingen_US
dc.title.alternativeDetermining the Coefficient Values of a₀, a₁, and k from Radiation Fraction Calculation Using the Curve Fitting Methoden_US
dc.typeThesisen_US
dc.identifier.nimNIM210401025
dc.identifier.nidnNIDN0023097203
dc.identifier.kodeprodiKODEPRODI21201#Teknik Mesin
dc.description.pages63 pagesen_US
dc.description.typeSkripsi Sarjanaen_US
dc.subject.sdgsSDGs 9. Industry Innovation And Infrastructureen_US


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