@thesis{thesis,
		author={Makkulau  Andi and RISKI ARSYAD  JAYATI},
		title ={PENGARUH VARIASI BAYANGAN TERHADAP DAYA
KELUARAN PHOTOVOLTAIC JENIS POLYCRISTALLINE},
		year={2022},
		url={http://156.67.221.169/5391/},
		abstract={Future energy sources with the most potential include solar energy, which is also one of
the most environmentally beneficial forms of energy. Solar cell modules enable the direct
conversion of solar energy into electrical energy. Solar panels' production will, however,
drop if they are in the shadows. As a result, this study was carried out to ascertain the
impact of shadow changes on the output power of polycrystalline solar panels. The
shadow variables given were 0%, 25%, 50%, and 75%, with a tilt angle of 36.7. The
outcomes of linear regression analysis performed using Excel The calculated R value is
0.99, indicating a very strong correlation, and the R square value is 0.9978, or 99.78%,
indicating that shadow variations account for the remaining 0.22% of the reduction in
value. The regression's standard error is 0.00333 the lower the number, the more accurate
the regression. The standard error number determined from the Excel software in direct
study and simulated testing is 0.00562.}
		}