Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia
Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readin...
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| Format: | Article |
| Language: | English |
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Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)
2023-12-01
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| Series: | Journal of Applied Engineering and Technological Science |
| Subjects: | |
| Online Access: | https://www.yrpipku.com/journal/index.php/jaets/article/view/2401 |
| _version_ | 1797208944470392832 |
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| author | M. Khairul Anam Arda Yunianta Hasan J. Alyamani Erlin Erlin Ahmad Zamsuri Muhammad Bambang Firdaus |
| author_facet | M. Khairul Anam Arda Yunianta Hasan J. Alyamani Erlin Erlin Ahmad Zamsuri Muhammad Bambang Firdaus |
| author_sort | M. Khairul Anam |
| collection | DOAJ |
| description |
Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU.
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| first_indexed | 2024-03-07T14:16:45Z |
| format | Article |
| id | doaj.art-abce3dc804874471b2c99224107c9fc9 |
| institution | Directory Open Access Journal |
| issn | 2715-6087 2715-6079 |
| language | English |
| last_indexed | 2024-04-24T09:46:51Z |
| publishDate | 2023-12-01 |
| publisher | Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) |
| record_format | Article |
| series | Journal of Applied Engineering and Technological Science |
| spelling | doaj.art-abce3dc804874471b2c99224107c9fc92024-04-14T12:08:02ZengYayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)Journal of Applied Engineering and Technological Science2715-60872715-60792023-12-015110.37385/jaets.v5i1.2401Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, IndonesiaM. Khairul Anam0Arda Yunianta1Hasan J. Alyamani2Erlin Erlin3Ahmad Zamsuri4Muhammad Bambang Firdaus5STMIK Amik RiauKing Abdulaziz UniversityKing Abdulaziz UniversityInstitut Bisnis dan Teknologi Pelita IndonesiaLancang Kuning UniversityMulawarman University Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU. https://www.yrpipku.com/journal/index.php/jaets/article/view/2401Kampar DistrictSmart cityTAM (Technology Acceptance Model)readiness |
| spellingShingle | M. Khairul Anam Arda Yunianta Hasan J. Alyamani Erlin Erlin Ahmad Zamsuri Muhammad Bambang Firdaus Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia Journal of Applied Engineering and Technological Science Kampar District Smart city TAM (Technology Acceptance Model) readiness |
| title | Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia |
| title_full | Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia |
| title_fullStr | Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia |
| title_full_unstemmed | Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia |
| title_short | Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia |
| title_sort | analysis and identification of non impact factors on smart city readiness using technology acceptance analysis a case study in kampar district indonesia |
| topic | Kampar District Smart city TAM (Technology Acceptance Model) readiness |
| url | https://www.yrpipku.com/journal/index.php/jaets/article/view/2401 |
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