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As one of the countries with a big Muslim population in the world, opportunity of growing an Islamic business in Indonesia has swiftly gained. It is proved by the growth of 95% market share in manufacture, service, and technology areas. This will give a chance for entrepreneurs to follow the wave. One of the entrepreneurs that utilized the opportunity is the developer of Kaaba Buku Saku application. They are releasing solutions for Muslims in a form of mobile application. Since the launching of this application, Kaaba Buku Saku generate only 30% of the total downloader that become the active user of this application. The focus of this study is to know the significant factors of Muslim-based mobile application adoption and analysing customer journey map of Kaaba Buku Saku application users. This research will be used Binary Logistic Regression analysis to obtain the significant factors of Muslim-based application adoption. The result of the most significant factors in a Muslim-based mobile application adoption and customers journey map of Kaaba Buku Saku is analyzed using product canvas. Therefore, this study will contribute to generating insights for the developer to do some improvements to the application and enhance customer engagements to the application.