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This research aims to address the issues surrounding the allocation of employee benefits at TVRI Nusa Tenggara Timur. Currently, the decision-making process for benefits is solely based on recommendations from supervisors, without taking into consideration employee performance, potentially leading to social jealousy and suboptimal outcomes. In this study, we develop a Decision Support System (DSS) utilizing the Analytical Hierarchy Process (AHP) method to assess employee performance. AHP allows for a hierarchical and objective breakdown of multi-factor problems. The criteria used for evaluation include attendance, behavior, length of service, and dependents. It is expected that the implementation of this DSS will enhance transparency and objectivity in decision-making, minimize employee dissatisfaction, and provide a more robust basis for benefit allocation decisions. This research offers practical contributions to human resource management and decision-making at TVRI Nusa Tenggara Timur.

Achievement ability is a pinnacle of the learning process, at this stage students prove the success of learning at school SD Negeri 17 Gunung Megang. However, as the learning process progresses, several things occur that can affect this success. One of them is the problem of declining achievement scores, both academic and non-academic scores. The value of achievement that decreases or increases can be influenced by various factors. All problems need to be resolved so that the school can find a solution to increase or maintain the value of student achievement for the next period. Based on these problems, a Decision Support System is needed that can help the school in seeing the effect of student achievement. The method used in making decisions on the effect of student achievement is the Analytical Hierarchy Process (AHP) method. AHP can be compiled based on a hierarchical model that is made together with decision makers in order to provide solutions through the highest weight value in each criterion and alternative that is served. The decision support system with the AHP method can determine the priority weight of the criteria.

Digital marketing is an important part of promoting a business owned by an individual or an organization. Marketing is essential for startups to stay competitive and sustain their products on the market. For people who are computer novices, this is a challenge. One of them is the proprietor of Keripik Orang Kekinian, a chips company in Bekasi, Indonesia, which has limited sales capabilities for its product. Researchers help firms choose the best social media channels for promoting their products in order to overcome these difficulties. The methods involved are Simple Additive Weighting (SAW) and Analytical Hierarchy Processing (AHP). The results show that Instagram is the best social media platform for advertising products. The result obtained are expected to help business owners increase sales.

Laptops are very necessary for students in lectures. However, choosing a laptop for student needs is not easy. A way to help college students decide which laptop is right for their needs is to use a decision support system. The process used by DSS is the Analytical Hierarchy Process or AHP. shows that the Asus Vivobook Ultra 15 laptop is the first priority for students with a total score of 0.1243, the HP 250 G8 laptop is the second priority with a total score of 0.0951, and the Lenovo V14 G2 laptop is the last priority with a total score of 0.0823 for students. Based on the review and assessment of the previous chapter, the following conclusions can be drawn:1. Making DSS for laptop selection can be pursued with an analytical Hiarakiya process that ensures the criteria and weights are calculated systematically. 2. The process of analytic hierarchy, which is a decision support procedure for solving various multi-criteria decision problems, can also be used to solve the laptop selection problem.