Purpose: This study aims to conduct a comparative analysis of the decision-making methods of Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and build a decision support system that can be used to determine the linearity of lecturers’ research in their scientific fields. The analysis aims to assist relevant institutions in determining research linearity and guiding lecturers in their research policies and directions.
Methods: This study compares the performance of the SAW and TOPSIS methods, against the alternative ranking of lecturers’ research linearity. The performance of both methods was measured using accuracy and MSE, where a high accuracy value indicates that the method performs better and the value of MSE is small or close to zero indicating a better relevance.
Result: The results showed that the SAW method has a better accuracy value of 100% and an average MSE value of 0.13. At the same time, the TOPSIS method has an accuracy value of 33% and an average MSE value of 0.58.
Novelty: This study provides knowledge about the effectiveness and efficiency of decision-making methods to determine the lecturers’ research linearity, as a guideline for related institutions regarding research policy making. In addition, the results of this study also provide a framework for evaluating the recent decision-supporting method and improving the understanding of the implementation and performance of the methods.

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Electronic asset management is important to increase operational efficiency and minimize the risk of loss or damage to goods that are company assets. Developed system for managing inventory data, maintenance and asset reporting. The development process follows the Agile stages, starting from gathering requirements through interviews and surveys with users. Next, the interface and system features are designed, as well as iterative testing to ensure the system meets user expectations. The result of this research is an information system that can manage electronic asset data effectively, increase information accuracy, and speed up the decision-making process. It is hoped that the implementation of this system can make a significant contribution to asset management in the organization and increase transparency and accountability in the use of resources.