<![CDATA[Manggarai Regency possesses significant tourism potential, yet remains constrained by the lack of integrated digital information, which hinders tourists from accessing accurate data and determining visit priorities. This research aims to design and develop a tourism information website integrated with an Item-Based Collaborative Filtering recommendation system to facilitate data-driven decision-making. The development employs the Research and Development (R&D) method using the Waterfall model, encompassing requirements analysis, system design, Implementation using PHP and MySQL, and rigorous functional testing. The final system was evaluated using Black Box testing, which confirms that all features, including the automated rating-based recommendation engine, function correctly according to specifications. The results demonstrate that the website effectively presents comprehensive information and generates accurate top-destination recommendations based on real-time visitor ratings. This platform provides a transparent and interactive tool that successfully assists tourists in selecting destinations while enhancing the digital promotion of Manggarai Regency’s tourism sector.]]>
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