Smart City and Halal Tourism during the Covid-19 Pandemic in Indonesia / Cidade Inteligente e Turismo Halal durante a Pandemia Covid-19 na Indonésia
Notice bibliographique
Résumé
ABSTRACTThis article will explore the use of technology in smart cities for the development of Halal Tourism during the Covid-19 pandemic in Indonesia. The function of technology for Halal Tourism services can be utilized for the prevention and transmission of Covid-19 and for realizing changes in the tourism system that are integrally developed with aspects of public health. The method in this article uses content analysis techniques that are based on written or visual material with the main content sourced from journal articles indexed by Scopus and WoS, then operationalized by determining the aims and objectives of the research, compiling the latest content, analyzing content, comparing results analysis, refine results, and conclude findings. This article concludes that smart cities can improve services rapidly to the public in accessing information about Halal Tourism and help control and manage the Covid-19 pandemic in tourism places by increasing detection, mitigating outbreaks, and making effective decisions when situations are critical. Social protection and economic stimulus by the government for tourism actors affected by Covid-19 and technological innovations such as virtual tourism as new services in developing local tourism potential are solutions to new normal conditions while preserving the values of Indonesia's cultural heritage.KEYWORDSTourism; Covid-19; Halal Tourism; Smart City; Indonesia. RESUMOEste artigo analisa o uso de tecnologia por cidades inteligentes, para o desenvolvimento do Turismo Halal durante a pandemia Covid-19, na Indonésia. A presença da tecnologia nos serviços associados ao Turismo Halal pode auxiliar na prevenção à transmissão do Covid-19 e na realização de mudanças no sistema turístico, que são desenvolvidas integralmente em termos de saúde pública. Neste artigo, o método inclui a Análise de Conteúdo de materiais visuais ou escritos, provenientes de artigos em periódicos indexados nas bases Scopus e WoS, operacionalizados a partir os objetivos e metas da pesquisa. A seguir os dados coletados mais recentes foram compilados, comparados e analisados; a análise refinou os resultados, concluindo-se com os principais achados da pesquisa. Neste artigo conclui-se que as cidades inteligentes podem qualificar os serviços oferecidos ao público, através do acesso rápido a informações sobre o Turismo Halal, e assim contribuindo com o controle e gerenciamento da pandemia Covid-19 em locais turísticos, aumentando a detecção, mitigando surtos e tomando decisões eficazes quando as situações são críticas. A proteção social e o estímulo econômico do governo para com os atores do turismo afetados pela Covid-19 e as inovações tecnológicas, como o turismo virtual e os novos serviços no desenvolvimento do potencial turístico local, são soluções para quando das novas condições normais, e para preservação dos valores do patrimônio cultural indonésio.PALAVRAS-CHAVETurismo; Covid-19; Turismo Halal; Cidade Inteligente; Indonésia. AUTORIAAan Jaelani – Doctor. Associate Professor Department of Islamic Economics, Institut Agama Islam Negeri Syekh Nurjati, Cirebon, Indonesia. Orcid: http://orcid.org/0000-0003-2593-7134. Email: iainanjal@gmail.comSlamet Firdaus – Doctor. Associate Professor Department of Islamic Studies, IAIN Syekh Nurjati, Cirebon, Indonesia. Orcid: http://orcid.org/0000-0002-0011-277X. Email: slamet.firgo@gmail.comDidi Sukardi – Doctor. Associate Professor Department of Islamic Business Law, Institut Agama Islam Negeri Syekh Nurjati, Cirebon, Indonesia. Orcid: http://orcid.org/0000-0003-1368-5128. Email: didisukardimubarrak@gmail.com.Syaeful Bakhri - Senior Lecturers Department of Islamic Tourism, Institut Agama Islam Negeri Syekh Nurjati Cirebon, Indonesia. Orcid: http://orcid.org/0000-0003-4703-7719. Email: sultan01aulia@yahoo.comAfif Muamar - Senior Lecturers Department of Islamic Business Law, Institut Agama Islam Negeri Syekh Nurjati Cirebon, Indonesia. Orcid: http://orcid.org/0000-0001-5491-5327. Email: afifmuamar85@yahoo.com REFERENCESAllam, Z. (2019). Cities and the digital revolution: Aligning technology and humanity. Springer Nature. LinkAllam, Z., & Jones, D. S. (2020). On the coronavirus (Covid-19) outbreak and the smart city network: universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management. Healthcare, 8(1), 46. LinkAllam, Z., & Jones, D. S. (2021). Future (post-Covid) digital, smart and sustainable cities in the wake of 6G: Digital twins, immersive realities and new urban economies. Land Use Policy, 101, 105201. LinkAllam, Z., & Newman, P. (2018). Redefining the smart city: Culture, metabolism and governance. Smart Cities, 1(1), 4-25. LinkAllam, Z., Dey, G., & Jones, D. S. (2020). Artificial intelligence (AI) provided early detection of the coronavirus (Covid-19) in China and will influence future Urban health policy internationally. AI, 1(2), 156-165. LinkAmanda, G. (2021, 27 JAN). Kementerian Pariwisata dan Ekonomi Kreatif gelar wisata virtual ke-10 desa wisata [The Ministry of Tourism and Creative Economy held virtual tourism in the 10 tourist villages]. Jakarta: Republika. LinkAngelidou, M. (2017). The role of smart city characteristics in the plans of fifteen cities. Journal of Urban Technology, 24(4), 3-28. LinkAnkomah, P., & Larson, T. (2019). Virtual tourism and its potential for tourism development in sub-saharan africa. In: M. Khosrow-Pour, D.B.A. (Ed.), Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship. (pp. 584-595). IGI Global. LinkArfah, A., Olilingo, F. Z., Syaifuddin, S., Dahliah, D., Nurmiati, N., & Putra, A. H. P. K. (2020). Economics during global recession: Sharia-economics as a post Covid-19 agenda. The Journal of Asian Finance, Economics, and Business, 7(11), 1077-1085. LinkAteljevic, I. (2020). Transforming the (tourism) world for good and (re) generating the potential ‘new normal’. Tourism Geographies, 22(3), 467-475. LinkAzizah, N. (2020, 08 october). Tur virtual kian diminati selama pandemi [Virtual tours have grown in demand during the pandemic]. Jakarta: Republika. LinkBakar, N. A., & Rosbi, S. (2020). Effect of Coronavirus disease (Covid-19) to tourism industry. International Journal of Advanced Engineering Research and Science, 7(4), 189-193. LinkBaskanligi, D.I. 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Tourism–resilient but vulnerable as ‘the times they are a changing’ in the ‘new normality’. Worldwide Hospitality and Tourism Themes, 12(6), 663-670. LinkCampbell, T. (2012). Beyond Smart Cities: how cities network, learn and innovate. Routledge. LinkCastells, M. (1996). The Information age: economy, society and culture (3. vol.). Oxford: Blackwell.Comstock, M. (2012, 02 april). What is a smart city and how can a city boost its IQ ?. World Bank. LinkCosta, D. G., & Peixoto, J. P. J. (2020). Covid-19 pandemic: A review of smart cities initiatives to face new outbreaks. IET Smart Cities, 2(2), 64-73. LinkDavis, D., & Cosenza, R. M. (1993). Business Research for Decision Making. California: Wadswort.Elasrag, H. (2016). Halal industry: Key challenges and opportunities. SSRN, 1-33. LinkEremia, M., Toma, L., & Sanduleac, M. (2017). The smart city concept in the 21st century. Procedia Engineering, 181, 12-19. LinkFinn, M., Walton, M., & Elliott-White, M. (2000). 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».