Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan
The purpose of this study is to determine the most suitable technique between Univariate Modelling Technique and Box Jenkins Methodology Technique to generate forecast values for the total container throughputs using data taken from Northport (Malaysia) Bhd. The data was 10 years data and about 118...
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| Format: | Monograph |
| Language: | English |
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Bachelor of Science (Hons.) Statistics
2015
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| Online Access: | https://ir.uitm.edu.my/id/eprint/34384/ |
| _version_ | 1848808536165842944 |
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| author | Ramlan, Nordina Amira |
| author_facet | Ramlan, Nordina Amira |
| author_sort | Ramlan, Nordina Amira |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | The purpose of this study is to determine the most suitable technique between Univariate Modelling Technique and Box Jenkins Methodology Technique to generate forecast values for the total container throughputs using data taken from Northport (Malaysia) Bhd. The data was 10 years data and about 118 data. The models selected for Univariate Modelling Technique are Single Exponential, Double Exponential Smoothing, Holt’s Method, Adaptive Response Rate Exponential Smoothing and Holt-Winter’s Trend and Seasonality.These models are normally used to determine multiple-ahead-forecast, focus of one variable and large size of data. For Box jenkins Methodology, this study required to used SARIMA because there is existance of seasonality trend. The performance of the models were measured by calculating for the value of the Mean Square Error (MSE) and the Mean Absolute Percentage Error (MAPE). The best model is selected based on the smallest value of MSE and MAPE. In addition, the models were evaluated by comparing the forecast values generated by the models with the actual data. Based on the analysis, Holt-Winter’s Trend and Seasonality from Univariate Modeling is the most suitable model to forecast the monthly total container throughputs for Northport (Malaysia) Bhd for Univariate Modelling |
| first_indexed | 2025-11-14T23:00:16Z |
| format | Monograph |
| id | uitm-34384 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:00:16Z |
| publishDate | 2015 |
| publisher | Bachelor of Science (Hons.) Statistics |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-343842025-03-30T08:41:19Z https://ir.uitm.edu.my/id/eprint/34384/ Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan Ramlan, Nordina Amira Balance of trade Commercial geography. Economic geography Tariff. Free trade. Protectionism The purpose of this study is to determine the most suitable technique between Univariate Modelling Technique and Box Jenkins Methodology Technique to generate forecast values for the total container throughputs using data taken from Northport (Malaysia) Bhd. The data was 10 years data and about 118 data. The models selected for Univariate Modelling Technique are Single Exponential, Double Exponential Smoothing, Holt’s Method, Adaptive Response Rate Exponential Smoothing and Holt-Winter’s Trend and Seasonality.These models are normally used to determine multiple-ahead-forecast, focus of one variable and large size of data. For Box jenkins Methodology, this study required to used SARIMA because there is existance of seasonality trend. The performance of the models were measured by calculating for the value of the Mean Square Error (MSE) and the Mean Absolute Percentage Error (MAPE). The best model is selected based on the smallest value of MSE and MAPE. In addition, the models were evaluated by comparing the forecast values generated by the models with the actual data. Based on the analysis, Holt-Winter’s Trend and Seasonality from Univariate Modeling is the most suitable model to forecast the monthly total container throughputs for Northport (Malaysia) Bhd for Univariate Modelling Bachelor of Science (Hons.) Statistics 2015-01 Monograph NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/34384/1/34384.pdf Ramlan, Nordina Amira (2015) Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan. (2015) Industrial Training. Bachelor of Science (Hons.) Statistics, Kota Bharu. (Unpublished) |
| spellingShingle | Balance of trade Commercial geography. Economic geography Tariff. Free trade. Protectionism Ramlan, Nordina Amira Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan |
| title | Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan |
| title_full | Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan |
| title_fullStr | Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan |
| title_full_unstemmed | Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan |
| title_short | Forecasting container throughput at Northport (Malaysia) Bhd using univariate modeling and box jenkins methodology / Nordina Amira Ramlan |
| title_sort | forecasting container throughput at northport (malaysia) bhd using univariate modeling and box jenkins methodology / nordina amira ramlan |
| topic | Balance of trade Commercial geography. Economic geography Tariff. Free trade. Protectionism |
| url | https://ir.uitm.edu.my/id/eprint/34384/ |