<![CDATA[This study aims to develop a web-based Decision Support System to assist the allocation of teachers to subjects at Madrasah Ibtidaiyah Nurul Huda. The main problem addressed in this study is the manual teacher allocation process, which leads to subjectivity, mismatch of expertise, and imbalance in workload distribution. The system is designed to improve objectivity and efficiency in decision-making based on several criteria, namely educational background, competence, teaching experience, and teaching hour availability. The method applied in this study is the Simple Additive Weighting (SAW) method, a multi-criteria decision-making technique that calculates preference values based on predetermined criteria weights. The contribution of this study lies in the implementation of a specialization-based grouping approach in the SAW calculation process, resulting in rankings that are more relevant to subject requirements. The results show that in the general field, alternative A6 achieved the highest preference value of 0.948, while in the Islamic studies field, alternative A4 obtained a value of 0.958. The system is able to generate objective allocation recommendations and produces results consistent with manual calculations. Usability testing resulted in a score of 84.2%, which is categorized as very good, indicating that the system is feasible to support faster, more transparent, and efficient decision-making.]]>
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