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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.

Increasing the productivity of an agency's performance is inseparable from the quality of human resources (HR) who are reliable, professional and have high integrity. Increasing the competence or expertise of HR can support an increase in employee performance. Managing employee performance effectively is one of the key factors to improve the company's business performance. In this case, effective performance management includes the process of measuring employee performance objectively through a series of appropriate performance indicators. The problems that have been the inhibiting factors are 1) the process of determining the best employees still uses conventional methods, so errors often occur in evaluating employee performance, 2) there is no system or method that can quickly, precisely and accurately determine the best employees at CV Diana Cosmetics Bandung, so as to produce reports that are more organized, so that they can be used as a reference for future elections. Implementation of the Analytical Hierarchy Process (AHP) Method for Determining the Best Employees at CV. Diana Cosmetics Bandung is the right method to use so that the final result can be obtained by multiplying the priority criteria value with the priority value of the sub criteria according to the Employee value data, for example the value "0.17" in the discipline column row A results from "0.41" ( obtained from the sufficient value of employee A, the priority of the sub criteria is sufficient on discipline) multiplied by the priority of the disciplinary criteria "0.42".

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.

This study uses the Fuzzy Analytical Hierarchy Process (FAHP) method to examine the choice of methanol raw material sources at PT XYZ. The procedure of gathering primary and secondary data for this study entails identifying supplier selection criteria, compiling data on criteria and sub-criteria, and compiling information on supplier performance. Results indicated that product quality, price, supply reliability, sustainability, and reputation were important factors in PT XYZ's decision to choose a certain supplier for its methanol raw materials. The relative weight of each criterion and sub-criteria has been computed using the FAHP approach, which aids in assessing possible providers. Additionally, depending on the obtained priority values, supplier rankings are also established. In conclusion, PT XYZ may choose its raw material suppliers for methanol using the FAHP approach effectively. As well as producing more objective and organized outcomes, this strategy aids in lowering decision-making uncertainty and complexity.

This study aims to analyze the selection of edamame raw material suppliers at PT XYZ using the Fuzzy Analytical Hierarchy Process (FAHP) method. This research involves the process of collecting primary and secondary data which includes identification of supplier selection criteria, collection of criteria and sub-criteria data, and collection of supplier performance data. The results showed that the relevant supplier selection criteria in the context of edamame raw materials at PT XYZ were product quality, price, supply reliability, sustainability and reputation. Based on the FAHP method, the relative weight of each criterion and sub-criteria has been calculated, which helps in evaluating potential suppliers. In addition, supplier rankings are also determined based on the resulting priority values. In conclusion, the FAHP method can be used as an effective tool in selecting raw material suppliers for edamame at PT XYZ. This method helps in reducing uncertainty and complexity in decision making, as well as providing more objective and structured results.