2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia
| Format: | General Document |
|---|
| _version_ | 1860797998123974656 |
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| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 |
| copyright | Copyright©PWB2025 |
| country | Malaysia |
| date | 2024-03-17 11:47 |
| format | General Document |
| id | 15353 |
| institution | UniSZA |
| originalfilename | SISTEM SOKONGAN MEMBUAT KEPUTUSAN BERDASARKAN MODEL SPATIAL TERHADAP TABURAN PERSEPSI PEMAIN DALAM MEMILIH REKABENTUK KASUT BOLA SEPAK YANG SESUAI DI MALAYSIA |
| person | PDFsam Basic v5.2.5 Mohd Firdaus bin Mahamad Ali |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15353 |
| sourcemedia | Server storage Scanned document |
| spelling | 15353 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15353 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu English UniSZA East Coast Environmental Research Institute application/pdf 1.5 Malaysia Server storage Scanned document UniSZA Private Access PDFsam Basic v5.2.5 SAMBox 3.0.10; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) 343 2024-03-17 11:47 SISTEM SOKONGAN MEMBUAT KEPUTUSAN BERDASARKAN MODEL SPATIAL TERHADAP TABURAN PERSEPSI PEMAIN DALAM MEMILIH REKABENTUK KASUT BOLA SEPAK YANG SESUAI DI MALAYSIA 2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia Copyright©PWB2025 Spatial analysis (Statistics) Mohd Firdaus bin Mahamad Ali Mohd Firdaus bin Mahamad Ali Mohd Firdaus bin Mahamad Ali Sistem Sokongan Model Spatial Taburan Persepsi Pemain Rekabentuk Kasut Bola Sepak Decision support systems Athletic shoes—Design and construction Soccer—Equipment and supplies Consumer preferences—Mathematical models Human factors engineering—Applications in sports equipment Machine learning—Applications in consumer behavior Geospatial data—Applications in consumer research Sports sciences—Technological innovations Marketing research—Mathematical models The design of soccer shoes has undergone many evolutions over time involving the development and study of various technologies and materials to improve the performance of soccer players. A Geographic Information System (GIS) has been used in this study to help map the distribution of spatial patterns of perception of soccer players in Malaysia related to anatomical, anthropometric and biomechanical factors. The main purpose of this study is to develop a DSS Shoe Design model based on spatial patterns that influence the selection of shoes for soccer players in Malaysia. Therefore, the objective of this study is (i) to identify the anatomical, anthropometric and biomechanical factors as well as the design elements of soccer shoes (ii) Analyze the relationship between anatomy, anthropometrics and biomechanics for the design of soccer shoes (iii) Map the spatial distribution through Geographical Information System (GIS) to detect hotspot areas to see players' perception of anatomical, anthropometric and biomechanical factors as well as key elements (iv) Build a DSS shoe design model to help players, designers and manufacturers. A total of 398 soccer players from various levels of play, playing positions and experience were selected in this study using a simple random sampling method based on the entire population of soccer players in Malaysia with reference to Krejcie and Morgan's (1970) sample size determination. This study uses a quantitative approach through survey methods through questionnaires to obtain information to achieve the objectives of the study. Statistical analysis was performed using the Statistical Package for Social Sciences (SPSS) version 23.0 software. Meanwhile, spatial pattern mapping and hotspot analysis methods (Getis-Ord Gi*) use Arcgis Pro software. The construction of the DSS Shoe Design model is produced from the perception and spatial pattern distribution of the players on anatomical, anthropometric and biomechanical factors and the main elements of the selection of soccer shoe designs among soccer players in Malaysia. The results of the study show that design factors namely anatomy, biomechanical and anthropometry are identified as the main influencing factors while brand elements, comfort and foot design are identified as the main elements of football shoe selection. Analysis of statistical data from SPSS proves that the relationship between anatomical and biomechanical factors with the design of football shoes is significant with values of R2 = 0.56 and R2 = 0.55. For the construction of the hot spot spatial model through the Getis-Ord Gi* method, three districts recorded the highest hot spots, namely in Asa Jaya, Serian and Bintulu (Sarawak) with a Z score of 2.14 while the P value amounted to 0.03 for anatomical factors. Anthropometric factors record 3 districts with the highest hot spots in Kulim, Pendang and Alor Setar (Kedah) with a Z score of 1.74 and a P value of 0.08. The highest hot spot for biomechanical factors was recorded in two districts namely Kuala Nerus and Permaisuri (Terengganu) with a Z score of 2.14 and a P value of 0.03. The design elements show that 4 areas recorded the highest Z score value of 3.73 with a P value of 0.0002 in Lembah Pantai and in Precincts 15, 16 and 18 (Putrajaya). The RBKDSS Model has been developed by taking the factors and design elements of soccer shoes as a reference for players, designers and manufacturers in choosing and designing ergonomic and innovative soccer shoes that benefit time and cost savings and improve the performance of soccer players in Malaysia in line with achieving the Sustainable Development Goals (SDG 3) Dissertations, Academic Thesis |
| spellingShingle | 2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia |
| state | Terengganu |
| subject | Spatial analysis (Statistics) Decision support systems Athletic shoes—Design and construction Soccer—Equipment and supplies Consumer preferences—Mathematical models Human factors engineering—Applications in sports equipment Machine learning—Applications in consumer behavior Geospatial data—Applications in consumer research Sports sciences—Technological innovations Marketing research—Mathematical models Dissertations, Academic |
| summary | The design of soccer shoes has undergone many evolutions over time involving the development and study of various technologies and materials to improve the performance of soccer players. A Geographic Information System (GIS) has been used in this study to help map the distribution of spatial patterns of perception of soccer players in Malaysia related to anatomical, anthropometric and biomechanical factors. The main purpose of this study is to develop a DSS Shoe Design model based on spatial patterns that influence the selection of shoes for soccer players in Malaysia. Therefore, the objective of this study is (i) to identify the anatomical, anthropometric and biomechanical factors as well as the design elements of soccer shoes (ii) Analyze the relationship between anatomy, anthropometrics and biomechanics for the design of soccer shoes (iii) Map the spatial distribution through Geographical Information System (GIS) to detect hotspot areas to see players' perception of anatomical, anthropometric and biomechanical factors as well as key elements (iv) Build a DSS shoe design model to help players, designers and manufacturers. A total of 398 soccer players from various levels of play, playing positions and experience were selected in this study using a simple random sampling method based on the entire population of soccer players in Malaysia with reference to Krejcie and Morgan's (1970) sample size determination. This study uses a quantitative approach through survey methods through questionnaires to obtain information to achieve the objectives of the study. Statistical analysis was performed using the Statistical Package for Social Sciences (SPSS) version 23.0 software. Meanwhile, spatial pattern mapping and hotspot analysis methods (Getis-Ord Gi*) use Arcgis Pro software. The construction of the DSS Shoe Design model is produced from the perception and spatial pattern distribution of the players on anatomical, anthropometric and biomechanical factors and the main elements of the selection of soccer shoe designs among soccer players in Malaysia. The results of the study show that design factors namely anatomy, biomechanical and anthropometry are identified as the main influencing factors while brand elements, comfort and foot design are identified as the main elements of football shoe selection. Analysis of statistical data from SPSS proves that the relationship between anatomical and biomechanical factors with the design of football shoes is significant with values of R2 = 0.56 and R2 = 0.55. For the construction of the hot spot spatial model through the Getis-Ord Gi* method, three districts recorded the highest hot spots, namely in Asa Jaya, Serian and Bintulu (Sarawak) with a Z score of 2.14 while the P value amounted to 0.03 for anatomical factors. Anthropometric factors record 3 districts with the highest hot spots in Kulim, Pendang and Alor Setar (Kedah) with a Z score of 1.74 and a P value of 0.08. The highest hot spot for biomechanical factors was recorded in two districts namely Kuala Nerus and Permaisuri (Terengganu) with a Z score of 2.14 and a P value of 0.03. The design elements show that 4 areas recorded the highest Z score value of 3.73 with a P value of 0.0002 in Lembah Pantai and in Precincts 15, 16 and 18 (Putrajaya). The RBKDSS Model has been developed by taking the factors and design elements of soccer shoes as a reference for players, designers and manufacturers in choosing and designing ergonomic and innovative soccer shoes that benefit time and cost savings and improve the performance of soccer players in Malaysia in line with achieving the Sustainable Development Goals (SDG 3) |
| title | 2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia |
| title_full | 2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia |
| title_fullStr | 2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia |
| title_full_unstemmed | 2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia |
| title_short | 2024_Sistem Sokongan Membuat Keputusan Berdasarkan Model Spatial Terhadap Taburan Persepsi Pemain Dalam Memilih Rekabentuk Kasut Bola Sepak Yang Sesuai Di Malaysia |
| title_sort | 2024_sistem sokongan membuat keputusan berdasarkan model spatial terhadap taburan persepsi pemain dalam memilih rekabentuk kasut bola sepak yang sesuai di malaysia |