<![CDATA[The Al-Hidayah Islamic Boarding School (PKP) faces challenges in attracting new prospective students every year in the midst of competition from private and public schools, budget limitations, and negative issues of Islamic boarding schools that are rampant on social media. This research aims to optimize data-driven promotion strategies through the application of Data Mining techniques, especially K-Means algorithms, to map the potential of promotion target areas and produce more effective policies. The analysis was carried out by utilizing the data of the origin of students using Python-Scikit-Learn to group based on the region of origin. The findings show that the K-Means method is effective in identifying potential areas to be prioritized for promotion, so that promotional strategies can be expanded and become more efficient. The results of this study are expected to assist PKP Al-Hidayah in increasing the number of new registrants in a sustainable manner through more targeted and evidence-based promotion decisions.]]>
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