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245			_aMathematical Analysis on Catfish Production Dynamics In Rizal _bLaurence C. Gumpal... et al...
260			_cNovember 2024
300			_a21 pages.,' _bIlluestrations, _c28 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
502			_aThesis _bCollege of Science _cUniversity of Rizal System-Morong _d2024
520			_aCatfish farming in Rizal, Philippines, is an important part of the local economy and helps ensure food security. This study uses a time series analysis model to look at the trends and seasonal indices to see the growth and production happens by months. By analyzing the data that has been collected, it allows us to see the flow and trend of the production for the last three years. The study uses Time Series Model to see how the pattern changes overtime and allows it to project the possible trend for the next year. According to the computation, the production rate has significantly slowed. The researchers use this model to see the data's trend, particularly the peak production. These results show how factors like demand, competitors, and other factors that the researchers haven't considered have a significant impact on catfish production. This synopsis demonstrates how time series models can provide valuable insights that startup entrepreneurs can utilize to comprehend the patterns and trends of catfish production in Rizal. Keywords: Catfish Production, Prediction, Time Series Model, Seasonal Index
700			_aLaurence C. Gumpal _eAuthor
700			_aJohn Gabriel A. Amador _eAuthor
700			_aEugene L. Aquino _eAuthor
700			_aEmmanuelle A. Cerdena _eAuthor
700			_aJallen James F. Julian _eAuthor
700			_aAriston, Ricardo R. _edegree supervisor
856			_3Online Request for Student Unpublished Works _uhttps://forms.gle/7LqvGGkaDrUQqz429
856			_uhttps://drive.google.com/file/d/1wzg4ik7p69AxyV7BelbVuAzBmiEmTZOL/view?usp=drive_link
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999			_c85929 _d85927