The MOORA method for selecting software App: price-quality ratio approach

Abstract

Seeing the rapid progress of software app. in today's destructive era, the need for software app. is very reliable for industrial progress in the era of the 4.0 generation. Especially in object-oriented software app. The main objective of this research is to measure the technical capabilities of object-based software app. and to find out the process of selecting the best number of app.software in terms of the appropriate price. Many techniques can be developed in object-based software app. such as class implementation, Inheritance, Encapsulation, Polymorphic, Constructor, Accessor, Mutator, Visibility, Overwrite and Overload. This technique is an advantage of object-based software app. Taking advantage of these advantages causes difficulty in selecting and evaluating software. Indeed, it is very difficult to evaluate software products, because they are qualitative. In order for the assessment to be objective, it requires good method collaboration, thus an objective method is needed in the assessment of the selection of a number of program app. The test was carried out with the Multi Objective Optimization by Ratio Analysis (MOORA) method collaborated with the Price-Quality Ration approach. The results obtained are the selection of object-based software app. that can be done optimally and provide efficiency in the benefits and costs incurred.

The Implementation of MOORA Methods to Support Refinement Decision Priority System in Information Technology

“…The Multi-Objective Optimization method based on Ratio Analysis (MOORA) is an algorithm that optimizes two or more conflicting attributes simultaneously (Sunardi, Fadlil, & Fitrian Pahlevi, 2021) as well as a method used to optimize the ranking of several alternatives with several stages based on ratio analysis (Akmaludin, Sihombing, Dewi, Rinawati, & Arisawati, 2021). The first algorithm is to input the value of the criteria where the value of the criteria in an alternative is the value that will later be processed, and the result becomes a decision.…”

“…The same is also applied (Pane & Erwansyah, 2020) by applying the AHP and MOORA methods to determine the weight of the criteria and the best alternative to select tower construction sites with a level of accuracy at the seven locations tested. Other research was also conducted by (Akmaludin, Sihombing, Dewi, Rinawati, & Arisawati, 2021), testing conducted with the MOORA method in collaboration with the Price-Quality Ratio approach. The results obtained were the selection of object-based software applications, which can be done optimally and provide efficiency in the benefits and costs incurred.…”

A historical review and analysis on MOORA and its fuzzy extensions for different applications

“…Karande and Chakraborty [ 222 ] applied the MOORA method under a fuzzy environment in selecting an enterprise resource planning system for improving business productivity and efficacy in terms of improved purchasing, inventory control, product planning, and sales capability. Akmaludin et al [ 223 ] selected and evaluated the best object-oriented software app for enhancing industrial progress in the era of the 4th generation. The authors applied the MOORA approach with the price-quality ratio approach for assessing different software apps considering conflicting criteria.…”

Optimal service quality and pricing for App service supply chain with network externality based on four different scenarios

“…How to stand out from an ocean of mobile applications and attract users to pay has become a problem that App service suppliers have to face. App quality and pricing are two key factors affecting user needs (Akmaludin et al, 2021). To stand out from a multitude of competitors, App service suppliers and App service operators must make scientific and reasonable decisions when Optimal service quality and pricing for App…”

“…How to stand out from an ocean of mobile applications and attract users to pay has become a problem that App service suppliers have to face. App quality and pricing are two key factors affecting user needs (Akmaludin et al. , 2021).…”