Model of marine fish landing in Terengganu using Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin
This paper explains the best method to predict the number of fish landings using comparison between cubic B-splines, cubic least square method and exponential smoothing. Data of fish landings from the year 2015 to 2017 is obtained from the official website of Malaysia Fishery Department. By using al...
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my-uitm-ir.401602021-01-06T13:04:24Z Model of marine fish landing in Terengganu using Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin 2019-07 Ajis, Alvanie Dilyazie Burhanuddin, Noor Fithriyah Instruments and machines Electronic Computers. Computer Science Algorithms Database management This paper explains the best method to predict the number of fish landings using comparison between cubic B-splines, cubic least square method and exponential smoothing. Data of fish landings from the year 2015 to 2017 is obtained from the official website of Malaysia Fishery Department. By using all three methods, the data from 2015 until 2017 is calculated and the result is compared to the actual data. The error of all methods is determined using relative error. The method with the least error is chosen as the best method. 2019-07 Thesis https://ir.uitm.edu.my/id/eprint/40160/ https://ir.uitm.edu.my/id/eprint/40160/1/40160.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Embong, Muhammad Fauzi |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
language |
English |
advisor |
Embong, Muhammad Fauzi |
topic |
Instruments and machines Instruments and machines Algorithms Database management |
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Instruments and machines Instruments and machines Algorithms Database management Ajis, Alvanie Dilyazie Burhanuddin, Noor Fithriyah Model of marine fish landing in Terengganu using Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin |
description |
This paper explains the best method to predict the number of fish landings using comparison between cubic B-splines, cubic least square method and exponential smoothing. Data of fish landings from the year 2015 to 2017 is obtained from the official website of Malaysia Fishery Department. By using all three methods, the data from 2015 until 2017 is calculated and the result is compared to the actual data. The error of all methods is determined using relative error. The method with the least error is chosen as the best method. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Ajis, Alvanie Dilyazie Burhanuddin, Noor Fithriyah |
author_facet |
Ajis, Alvanie Dilyazie Burhanuddin, Noor Fithriyah |
author_sort |
Ajis, Alvanie Dilyazie |
title |
Model of marine fish landing in Terengganu using
Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin |
title_short |
Model of marine fish landing in Terengganu using
Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin |
title_full |
Model of marine fish landing in Terengganu using
Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin |
title_fullStr |
Model of marine fish landing in Terengganu using
Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin |
title_full_unstemmed |
Model of marine fish landing in Terengganu using
Cubic B-Spline, discrete least square and exponential smoothing / Alvanie Dilyazie Ajis & Noor Fithriyah Burhanuddin |
title_sort |
model of marine fish landing in terengganu using
cubic b-spline, discrete least square and exponential smoothing / alvanie dilyazie ajis & noor fithriyah burhanuddin |
granting_institution |
Universiti Teknologi MARA |
granting_department |
Faculty of Computer and Mathematical Sciences |
publishDate |
2019 |
url |
https://ir.uitm.edu.my/id/eprint/40160/1/40160.pdf |
_version_ |
1783734566482083840 |