<![CDATA[The manual management of Fiber optic infrastructure data at PT Aplikanusa Lintasarta has the potential to cause data duplication, recording errors, difficulty in information retrieval, and inconsistencies in Joint Closure risk assessments. These problems can affect the effectiveness of decision-making related to network infrastructure maintenance. This study aims to design and build a Fiber Optic Infrastructure Information System equipped with a Joint Closure Risk Assessment Expert System feature using the Forward Chaining method. This method is used to determine the risk level based on location conditions, installation age, and disruption history represented in the form of expert knowledge-based rules. The Forward Chaining method is implemented using 26 rules that represent expert knowledge in determining the Joint Closure risk level. System evaluation is carried out through Black Box testing, System Usability Scale (SUS), and expert validation. The results of the study indicate that the system runs according to its function with a Black Box test success rate of 100%, obtaining a SUS score of 71.83 which is included in the Good and Acceptable categories, and a level of conformity with expert validation results of 100%. Based on these results, the system built is able to support infrastructure data management and Joint Closure risk assessment in an effective, consistent, and structured manner.]]>
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