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Decision Support System (DSS) is a system used to assist decision makers in determining the best alternative based on certain criteria. Determining retirement eligibility for ASN (State Civil Apparatus) employees is one of the important aspects in human resource management, where this decision affects the future of employee careers, their welfare, and state budget management. This study proposes the development of a decision support system for determining retirement eligibility for ASN employees using the Multi-Attribute Decision Making (MADM) method. The MADM method is a decision-making technique that considers several criteria and alternatives to produce optimal decisions. In this study, the criteria used to determine retirement eligibility include retirement age, length of service, work performance, health, and other factors relevant to the applicable pension policy. The method used in this system includes several steps, namely identifying criteria, assigning weights to each criterion, and evaluating alternatives based on these criteria using calculation techniques such as AHP (Analytical Hierarchy Process) or TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The results of this evaluation will provide recommendations on whether an employee is eligible for retirement or can still continue his career. The developed system is expected to facilitate the decision-making process regarding ASN employee retirement by providing objective and transparent analysis, so that the decisions taken are more appropriate and in accordance with applicable policies. Thus, this system can improve efficiency and effectiveness in human resource management in government agencies.

This research presents the development of a Decision Support System aimed at assisting in the enhancement of palm oil production using the Analytic Hierarchy Process (AHP) method. The rapid growth in the palm oil industry necessitates a scientific approach to selecting seedlings with optimal growth potential and yield. In this context, the application of artificial intelligence-based technology, such as decision support systems, is essential in the process of selecting superior palm oil seedlings. The objective of this study is to model the criteria for selecting the most superior palm oil seedlings using the Analytical Hierarchy Process (AHP) method by comparing three criteria: leaflet shape, seedling root shape, and prospective trunk size. The result of this process is a decision support system that displays the value range of each palm oil seedling variety, thus facilitating farmers in choosing the most superior seedlings.

Mental workload has a significant influence on employee performance in doing work. PT XYZ is a state-owned company engaged in the agro-industrial sector that produces fertilizer and non-fertilizer products. To maintain the quality of raw materials to products, laboratory personnel are needed. Production laboratory personnel 1A PT. XYZ has a routine job of analyzing raw materials and by-products to main products. This study aims to identify the mental workload of 1A production laboratory employees and identify appropriate intervention methods to reduce mental workload. The process of measuring mental workload uses the NASA-TLX scale and the AHP method to determine the proper intervention method. The results of this study showed that 26% of employees experienced a high mental workload. The selected intervention using the AHP method to reduce mental workload is meditation.

Students who excel must receive guidance on the development of each student's individual potential in order to produce superior and quality students. To complete this task, student achievement is taken into account. The Analytical Hierarchy Process (AHP) approach is one method that can be utilized in decision support systems. can do weighting to determine selection criteria and alternatives, starting from the definition of the problem. The purpose of evaluation or weighting in a decision support system, such as that carried out using the Analytic Hierarchy Process (AHP) approach, is to assess and compare the value or characteristics of each alternative based on predetermined criteria. This process allows us to understand how important each criterion is in achieving the main goal, so that the decisions taken are more structured and objective. Based on the method used, the system provides valid and accurate findings. The final result of determining the priority weight of alternatives based on ranking    

One of the government initiatives of the Sobawawi sub-district is Direct Cash Assistance, or BLT, which aims to lessen the financial strain on the population. Not everyone is eligible for direct cash assistance because it is meant to help low-income families fulfill their basic necessities. The government offers cash support to those who are considered impoverished through the Direct Cash support (BLT) program. This program is intended to help those who struggle to manage their financial situation. In order to help resolve and minimize errors when assessing who was eligible to receive BLT (Direct Cash Assistance) in the Sobawawi district, a decision support system was developed in response to the issues that arose throughout the selection process. The goal of this system is to support decision-making processes that employ the Analytical Hierarchy Process (AHP) technique. The results of both system and manual computations demonstrate how the decision-making system uses the AHP method's notion to determine. Based on the method employed, the system delivers findings that are legitimate and accurate. Ultimately, alternate priority weights based on ranking are determined.    

In order for students to actively develop their potential for religious spiritual strength, self-control, personality, intelligence, morality, life sciences, general knowledge, and the skills they need for society based on the law, education is a planned basic effort to create a learning atmosphere and learning process. Invite. Although it can also be autodidactic, education frequently takes place with the assistance of other people as well as biological parents. Preschool, elementary school, middle school, high school, and finally college, university, or apprenticeship are the typical phases of education. Another important factor in a region's development is education. Therefore, a decision support system that can make suggestions for choosing state institutions and study programs is required for West Sumba Regency SMA/Vocational Schools. The Analytical Hierarchy Process (AHP) approach is used to weight the value of each criterion, and the Simple Additive Weighting (SAW) method is used to calculate the weighted total or to order the alternatives from best. The weights of each alternative—a state university or study program—along with all of its features are added up to determine recommendations for selecting one. The chosen option will be indicated by a higher value. This system generates a report on the outcomes of management decisions, which includes the management's selections based on all options arranged from greatest to smallest SAW value. MySQL and Microsoft Visual Studio 2008 were used to develop the decision support system suggestions for choosing state colleges and study programs for the database.    

Wakatobi is one of the tourist destinations renowned for its underwater beauty, holding great potential to be developed as a sustainable tourism destination. This research aims to determine the priorities for sustainable tourism development in Wakatobi using the Analytical Hierarchy Process (AHP) method. The AHP method is employed to identify and prioritize various criteria and sub-criteria contributing to sustainable tourism development. Based on the research findings, infrastructure and facilities were found to be the highest priorities, with a focus on improving transportation infrastructure and public facilities. These findings indicate that the development of transportation infrastructure and public facilities is crucial to support the sustainability of tourism in Wakatobi.

Waste is a waste product of human activities that continues to increase along with the increase in population, activities, and consumption levels. In Bengkalis Sub-district, Bengkalis Regency, there are many waste accumulation points that have not been handled properly, mainly due to the lack of information about the location of waste accumulation. This causes the Bengkalis Regency Environment and Hygiene Agency (DLHK) to have difficulties in managing waste transportation, even though it is carried out every day. There are still many complaints from people who are outside the waste collection point. To overcome this problem, this research aims to develop a mobile application-based garbage pile complaint application focused on the Bengkalis District area. This application is designed to assist DLHK in monitoring environmental cleanliness more effectively. The Analytical Hierarchy Process (AHP) method is used to determine the priority of handling waste complaints, which will be implemented in a web platform to ensure optimal handling. Application development uses a prototype approach to ensure that the resulting application is in accordance with user needs and expectations. With this application, it is hoped that waste management in Bengkalis Regency will become more efficient and responsive to community complaints.    

The transportation sector has a very vital and strategic contribution to national development, because of its role as a driver and driver of development activities and a glue for the gap between regions. Ferry transportation is transportation that functions as a bridge connecting one area with another area separated by waters. The purpose of writing this paper This article was written to find out and explain the safety equipment standards, what types of safety equipment are there, and how many are there and how many crew members are on the ferry in accordance with applicable regulations. As well as the condition of passenger safety equipment on KMP. Sebuku, KMP. Portlink V, KMP. Jatra III and find out which ship is the most complete, and has the most safety equipment and crew on board. The method used in writing this paper uses the observation method, interviews, and literature studies. In this case, data collection is in the form of observation data, as well as a collection of documentation and data related to safety equipment.  

Pada proses penilaian penentuan RT Terbaik mengalami kesulitan karena biasanya penilaiannya hanya berdasarkan pengamatan lingkungan saja, sehingga mengakibatkan dalam penilaian untuk menentukan RT terbaik tidak tepat sasaran sehingga menimbulkan permasalahan pada wilayah tersebut. Dari permasalahan tersebut diatas maka perlu adanya sistem iformasi pendukung keputusan untuk menentukan lingkungan RT Terbaik dengan berbagai indicator penliaan, sehingga dalam proses penentuan RT terbaik bisa tepat sasaran, maka perlu adanya Sistem Informasi Pengambilan Keptusan dalam menentukan Lingkungan Rukun Tetangga ( RT ) Terbaik dengan Metode AHP.

Choosing a university is a critical decision for prospective students, impacting their future education and career trajectory. To aid in this decision-making process, a Decision Support System (DSS) can assist students in selecting a university that aligns with their specific criteria and preferences. This study developed a decision support system using the Analytical Hierarchy Process (AHP) method for university selection in Surakarta. The AHP method was selected for its capability to handle multi-criteria problems by systematically comparing each criterion pair and evaluating their relative importance. The criteria considered in this research encompass academic excellence, facilities, location, expenses, and reputation. This system aims to offer more objective and precise recommendations to prospective students seeking universities in Surakarta.  

Traditional wooden motorboats are ships that are built traditionally based on the experience of the builder without a basic design process like modern ships. The sizes of traditional wooden ships are usually small and are mostly used as fishing vessels, passenger ships and inter-island cargo ships, especially in eastern Indonesia. Traditional wooden motor boats have become a means of local transportation to serve shipping needs in the regions and as a means of local transportation. Sailing certainly has various problems which can be caused by weather factors, the condition of shipping lanes, other ships, and things beyond human capabilities, which can cause shipping disruptions and even cause emergencies. Emergency means a situation outside normal conditions that occurs on board a ship which has a tendency to endanger human life, property, objects and the environment where the ship is located. One way to anticipate emergency events is to provide safety equipment. IMO (International Marine Organization) as a maritime world organization issued SOLAS (Safety of Life at Sea) which contains provisions regarding what safety equipment is on board ships such as Life Jackets, Ring Buoys and Fire Extinguisher. However, in fact, fulfilling the safety equipment requires independent costs from traditional motorboat owners so there is a priority in fulfilling the safety equipment. Based on the results of the Analytical Hierarchy Process calculations in priority fulfillment of safety equipment with the final result of 36.6% Life Jacket, 30.8% Ring Buoy and 33.6% Fire Extinguisher. With these results, ship owners can determine their priorities in anticipating future emergencies

This research examines the application of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in determining the best graduate students in the Ners Professional Study Program at Muhammadiyah University of East Kalimantan. The third step of the AHP method involves converting the values in the pairwise comparison matrix to decimal form, which is then normalized to calculate the priority weight of each criterion and sub-criteria. Next, checking the logic of the criteria and designing AHP-TOPSIS for ranking were carried out. The analysis showed that AHP resulted in 5 ranking changes with a percentage change of 4.4%, while TOPSIS resulted in 3 ranking changes with a percentage change of 3.9%. From these results, the AHP-TOPSIS method proved to have an accuracy of 83.00%. This article also presents a comparison between AHP, TOPSIS, and AHP-TOPSIS methods, where the best student selected is Dinda Ayu Framaisella. This research provides practical guidance for decision makers in solving multi-criteria problems and contributes to the selection of the best graduate students with a comprehensive and accurate approach.

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.