Predicting determinant factors and development strategy for tourist villages
Tourist village program is one development priority program for rural development. Despite numerous opportunities to develop tourist villages such as the availability of natural resources and high demand for tourist villages recently, some challenges are still faced to develop tourist villa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2023-01-01
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| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol12/dsl_2022_35.pdf |
| _version_ | 1797988420811751424 |
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| author | Nafiah Ariyani Akhmad Fauzi Farhat Umar |
| author_facet | Nafiah Ariyani Akhmad Fauzi Farhat Umar |
| author_sort | Nafiah Ariyani |
| collection | DOAJ |
| description | Tourist village program is one development priority program for rural development. Despite numerous opportunities to develop tourist villages such as the availability of natural resources and high demand for tourist villages recently, some challenges are still faced to develop tourist villages, especially in a developing country such as Indonesia. Governance problems, infrastructure, and effective partnership are among other factors that remain challenging in developing tourist villages. This study attempts to identify factors that determine the state of tourist villages in Indonesia and determine the appropriate strategies for better tourist village development. Using the case of tourist villages in Kedung Ombo, Central Java, a water based attractive tourist village, this study uses both machine learning and multicriteria approaches by means of Promethee in order to address the objective of the study. This study shows that government support, application of information technology, infrastructure, local participation, partnership, and attractive variations, are among the determinant factors that affect tourist village development. The study also reveals that the appropriate strategies for tourist village development include, improving infrastructure, institutional strengthening, and capacity building. This study could be used to assist local national as well as sub-national governments to effectively manage tourist villages in Indonesia. |
| first_indexed | 2024-04-11T08:03:57Z |
| format | Article |
| id | doaj.art-ad3bd00e6b354b01b0442cb4bab4363a |
| institution | Directory Open Access Journal |
| issn | 1929-5804 1929-5812 |
| language | English |
| last_indexed | 2024-04-11T08:03:57Z |
| publishDate | 2023-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Decision Science Letters |
| spelling | doaj.art-ad3bd00e6b354b01b0442cb4bab4363a2022-12-22T04:35:37ZengGrowing ScienceDecision Science Letters1929-58041929-58122023-01-0112113714810.5267/j.dsl.2022.9.003Predicting determinant factors and development strategy for tourist villagesNafiah AriyaniAkhmad FauziFarhat Umar Tourist village program is one development priority program for rural development. Despite numerous opportunities to develop tourist villages such as the availability of natural resources and high demand for tourist villages recently, some challenges are still faced to develop tourist villages, especially in a developing country such as Indonesia. Governance problems, infrastructure, and effective partnership are among other factors that remain challenging in developing tourist villages. This study attempts to identify factors that determine the state of tourist villages in Indonesia and determine the appropriate strategies for better tourist village development. Using the case of tourist villages in Kedung Ombo, Central Java, a water based attractive tourist village, this study uses both machine learning and multicriteria approaches by means of Promethee in order to address the objective of the study. This study shows that government support, application of information technology, infrastructure, local participation, partnership, and attractive variations, are among the determinant factors that affect tourist village development. The study also reveals that the appropriate strategies for tourist village development include, improving infrastructure, institutional strengthening, and capacity building. This study could be used to assist local national as well as sub-national governments to effectively manage tourist villages in Indonesia.http://www.growingscience.com/dsl/Vol12/dsl_2022_35.pdf |
| spellingShingle | Nafiah Ariyani Akhmad Fauzi Farhat Umar Predicting determinant factors and development strategy for tourist villages Decision Science Letters |
| title | Predicting determinant factors and development strategy for tourist villages |
| title_full | Predicting determinant factors and development strategy for tourist villages |
| title_fullStr | Predicting determinant factors and development strategy for tourist villages |
| title_full_unstemmed | Predicting determinant factors and development strategy for tourist villages |
| title_short | Predicting determinant factors and development strategy for tourist villages |
| title_sort | predicting determinant factors and development strategy for tourist villages |
| url | http://www.growingscience.com/dsl/Vol12/dsl_2022_35.pdf |
| work_keys_str_mv | AT nafiahariyani predictingdeterminantfactorsanddevelopmentstrategyfortouristvillages AT akhmadfauzi predictingdeterminantfactorsanddevelopmentstrategyfortouristvillages AT farhatumar predictingdeterminantfactorsanddevelopmentstrategyfortouristvillages |