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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Main Authors: Ajis, Alvanie Dilyazie, Burhanuddin, Noor Fithriyah
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/40160/1/40160.pdf
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spelling 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
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Embong, Muhammad Fauzi
topic Instruments and machines
Instruments and machines
Algorithms
Database management
spellingShingle 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
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