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The selection process for prospective cadets at a maritime college is routinely carried out every year. In the current system, the processing and calculation of prospective cadet scores uses Microsoft Excel tools, but this takes a long time and can lead to errors in the calculation of scores and the recapitulation of selection results. In addition, unintegrated data can lead to data duplication, resulting in inaccurate selection results that can be detrimental to prospective cadets. A fast, precise, and accurate integrated decision support system is needed to support the selection process for prospective cadets. The author conducted a study on the prospective cadet admission system at UNIMAR AMNI Semarang using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method to assist in the selection of qualified prospective cadets who meet the established criteria. With this decision support system using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method, it can be used to solve the selection problem for prospective cadets because it has a short calculation time, is simple, transparent, and has high flexibility. This system will be built using the Codeigniter Framework and a MySQL database.

The application of the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method in employee promotion decisions at PTPN 4 aims to enhance efficiency and objectivity in decision-making. This method allows managers to evaluate employees based on multiple criteria simultaneously, such as performance, experience, contributions, and other relevant factors. By considering these various aspects, MOORA helps make promotion decisions more transparent and fair. One of the primary advantages of applying the MOORA method is its ability to reduce bias that may occur during the promotion process. Bias can arise from subjectivity or imbalance in employee assessments, which are often based on individual judgments or personal perceptions. By using MOORA, promotion decisions are based on more objective and measurable data, making the process more systematic and structured. The MOORA method can also increase employee motivation. A transparent promotion process based on clear criteria provides employees with a strong incentive to continuously improve their performance. When employees know that promotions are based on fair evaluation, they are more motivated to work harder. This, in turn, will increase overall productivity and performance at PTPN 4. The implementation of MOORA at PTPN 4 also provides advantages in better human resource management. With the MOORA-based decision support system, managers can easily identify employees who have the best potential for promotion. This process involves several steps, such as data normalization, determining criteria weights, and calculating final values that reflect overall employee performance. The end result is the selection of employees who meet the qualifications and have outstanding performance for promotion, supporting the sustainable development of the organization.

Employee performance represents the ability to fulfill tasks and responsibilities according to organizational standards. At UPTD Puskesmas Kosambi, the evaluation of Non-Civil Servant (Non-ASN) healthcare workers is still done manually and tends to be subjective, primarily based on attendance. This study aims to address the issue by developing a decision support system using the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method. A descriptive-applied approach and the waterfall development model were employed. Five evaluation criteria were used: attendance (25%), service quality (35%), report timeliness (20%), patient complaints (10%), and lateness (10%). Data from 20 Non-ASN healthcare workers in April 2025 were analyzed, with Anis Julianti achieving the highest MOORA score of 0.3839. The system underwent validation through black-box testing and user acceptance testing (UAT), both confirming its accuracy and usability. The findings were compared with previous studies. Harningsih et al. (2024) used the MOORA method for promotion evaluations at the North Sumatra Provincial Inspectorate Office and recorded a top score of 0.3616. Dewi Yohana br Ginting et al. (2024) applied the method at a beauty clinic and found a top score of 0.3747. These comparisons indicate that the MOORA results in this study fall within a consistent and valid range. The developed decision support system is expected to enhance the objectivity, transparency, and accountability of performance evaluations for Non-ASN employees in primary healthcare services, offering a more comprehensive alternative to manual assessment methods.

When making a decision to purchase a motorcycle, it is necessary to consider several criteria. These include price, environmental impact, fuel consumption, design and technology, performance and power, availability of spare parts, after-sales service, warranty on spare parts and distance to the nearest service centre. This research aims to help consumers make informed decisions when buying motorbikes by using the Multi-Objective Optimisation by Ratio Analysis (MOORA) method. The MOORA method was selected because it can handle many criteria efficiently and simply, and produce very objective decisions. Nine criteria were used with four alternatives: motor A, motor B, motor C and motor D. The MOORA calculation results ranked motor C as the highest with a value of 1.90, motor B as the second highest with a value of 1.77, motor A as the third highest with a value of 1.25 and motor D as the fourth highest with a value of 1.20. This research proves that the MOORA method can effectively and accurately provide recommendations for making decisions about purchasing motorbikes with many criteria.

A Decision Support System is a system designed with the capability to solve problems, particularly in decision-making. One example is making decisions regarding the recruitment of prospective employees or crew members for a company. In this research case study, the Decision Support System will be implemented to assist in recruiting crew members for Wedding Organizer Rahwana. A Wedding Organizer is a service-oriented business that plans and manages all aspects of a wedding event. In this case, Rahwana WO is still facing difficulties in selecting potential crew members. The implemented Decision Support System will use the MOORA method, a multi-objective optimization technique that has been successfully applied to solving various complex decision-making problems. The system’s performance was evaluated using the SUS method, and the implementation of this approach for Rahwana WO’s crew selection received a good rating, categorized as GOOD, with a score of 78.6.

Placing appropriate Field Work Practices (PKL) for students is very important, because it can maximize the abilities and talents of each student so as to produce graduates who are ready to compete in the world of work. In choosing a place for PKL students at SMK Negeri 4 Malang, the problem that often occurs is a mismatch in students' needs for a PKL place. To overcome this problem, a computer system is needed in the form of a decision support system that can help students at SMK Negeri 4 Malang to choose the right PKL place for students. The decision support system developed in this research uses the Moora and Simple Additive Weighting (SAW) methods in deciding the placement of PKL students. Based on the final results of the decision support system in the form of ranking. Moora's advantages include being stable and strong, this method does not even require an expert in mathematics to use it and requires simple mathematical calculations. Moora also has a good level of selectivity because it can determine goals from conflicting criteria. Where the criteria can be profitable (benefit) or unprofitable (cost). The SAW method was chosen because this method determines the weight value for each attribute, then continues with a ranking process which will select the best alternative. Research is carried out by looking for weight values for each criterion, and then creating a ranking process that will determine the optimal alternative.

Many manufacturers create numerous types of automobiles with diverse advantages ranging from engine capacity, type of design, and fantastic features to their products in response to the large number of enthusiasts and requests from the general public. Consumers are frequently perplexed while making decisions regarding brand, model, type, price, engine capacity, transmission, year of manufacturing, fuel capacity, and other aspects of the car's benefits due to the growing range of options available. Brand, model, type, price, engine and transmission size, year of production, and gasoline capacity are all factors in choosing a car. The MOORA system only recommends vehicles from the three well-known manufacturers Honda, Toyota, and Suzuki. A Honda CRV with a value of Y_i = 0.225 was recommended as the first recommendation, followed by a Honda BRV with a value of Y_i = 0.211, and a Honda Brio with a value of Y_i = 0.204. The recommendations were based on Honda brand criteria and CVT transmission.