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Although halal tourism has attracted growing scholarly attention, existing studies predominantly emphasize market potential, tourist perceptions, and promotional strategies. To date, no research has rigorously examined the probability of Muslim tourists’ visit decisions by integrating halal attributes, religiosity, and attitudes within Indonesia’s five Super Priority Destinations (SPDs). Addressing this gap, the present study applies a quantitative design using a probabilistic logit model based on survey data from Muslim tourists. The findings reveal that the completeness of halal attributes substantially increases the probability of destination choice, while religiosity and positive tourist attitudes further strengthen the likelihood of visits. These results demonstrate that halal tourism decisions can be modelled as a probabilistic function of destination attributes rather than solely as cultural or religious expressions. The study highlights the critical role of Destination Management Organizations (DMOs) in institutionalizing halal standards, thereby enhancing visit probabilities, boosting competitiveness, and ensuring sustainable tourism development.

Indonesia is optimistic about becoming the center of the world's halal industry and the halal industry covers very diverse aspects of life, from the financial, food and beverage, tourism, pharmaceutical and cosmetics industries to the fashion industry. This very broad aspect of course requires the support of a lot of reliable human resources, namely human resources that are in accordance with the characteristics of Islamic values ??such as professional (kafa'ah), trustworthy (amanah) and himmatul amal (work spirit). For this reason, developing human resources who are currently or will be involved in the sharia industry is important. This research is qualitative research by conducting searches and comparisons of related concepts and policies, then analyzing them using the monotheism concept approach and finally describing the results of the interpretation of the data collected so that finally conclusions are drawn and convey the development model that should be carried out.