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

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

• By Akmaludin, Akmaludin; Sihombing, Eren Gernaria; Dewi, Linda Sari; Rinawati, Rinawati; Arisawati, Ester;
• Jurnal Nasional Terakreditasi
• 450
• 192-198

Seeing the rapid advancement of software applications in today's destructive era, the need for software applications is very reliable for the advancement industry of the 4.0 generation era. Especially in object-oriented software applications. The main objective of this research is to measure the technical capabilities of object-based software applications. Many techniques can be developed in object-based software applications such as class implementation, Inheritance, Encapsulation, Pollymorphys, Constructor, Accessor, Mutator, Visibility, Overriding, and Overloading. This technique is an advantage of object-based software applications. Taking advantage of these advantages causes difficulties in selecting and evaluating software. 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 applications can be done optimally and provide efficiency on the benefits and costs incurred.

• Katakunci Application Software, Optimum value, Cost-Benefit, MOORA, Price-Quality Ratio.
• URL https://jurnal.polgan.ac.id/index.php/sinkron/article/view/10789/466
• Penerbit Fakultas Teknik Universitas Muhammadiyah Jakarta, Jakarta Pusat DKI Jakarta

REFERENSI

Ayubi, A., Muqtadiroh, F. A., & Nisafani, A. S. (2015). Quality Measurement Of Object Oriented Code Using Chidamber And Kemerer Metric In Tthe Perspective Of Maintainabality, Efficiency, Understadability And Replaceability (Case Studies Software Accounting XYZ).

Gadakh, V. (2011). Application of MOORA method for parametric optimization of milling process. International Journal of Applied Engineering Research, 1(4), 743–758.

Hidayatulloh, I., & Naf’an, M. Z. (2018). Integrasi Sentiment Analysis SentiWordNet pada Metode MOORA untuk Rekomendasi Pemilihan Smartphone. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi (JNTETI), 7(1), 21–26. https://doi.org/10.22146/jnteti.v7i1.396

Ijadi Maghsoodi, A., Abouhamzeh, G., Khalilzadeh, M., & Zavadskas, E. K. (2018). Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy. Frontiers of Business Research in China, 12(1), 1–21. https://doi.org/10.1186/s11782-017-0022-6

Kamila, I., & Helma, S. S. (2019). Implementation of MOORA Method for Determining Prospective Smart Indonesia Program Funds Recipients. International Journal of Engineering and Advanced Technology, 9(2), 1920–1925. https://doi.org/10.35940/ijeat.b2860.129219

Kundakci, N. (2016). Combined Multi-Criteria Decision Making Approach Based On Macbeth And Multi-MOORA Methods. Alphanumeric Journal, 4(1). https://doi.org/10.17093/aj.2016.4.1.5000178402

Mill, R. B. (2011). Validity of the Ahp / Anp : Comparing Apples and. International Journal of the Analitical Hierachy Process, 3(1), 2–27.

Prasetyo, H., & Sutopo, W. (2018). Industri 4.0: Telaah Klasifikasi Aspek Dan Arah Perkembangan Riset. J@ti Undip : Jurnal Teknik Industri, 13(1), 17. https://doi.org/10.14710/jati.13.1.17-26

Saaty, T. L. (2009). An Essay on How Judgment and Measurement are Different in Science and in Decision Making. International Journal of the Analytic Hierarchy Process, 1(1), 61–62. https://doi.org/10.13033/ijahp.v1i1.14

Saaty, T. L. (2010). The Eigenvector In Lay Language 2 . What we learn when we have measurement. 2(2), 163–169.

Sarkar, A., Panja, S. C., Das, D., & Sarkar, B. (2015). Developing an efficient decision support system for non-traditional machine selection: an application of MOORA and MOOSRA. Production and Manufacturing Research, 3(1), 324–342. https://doi.org/10.1080/21693277.2014.895688

Siahaan, A. P. U., Rahim, R., & Mesran, M. (2017). Student Admission Assesment using Multi-Objective Optimization on the Basis of Ratio Analysis. International Seminar IRSTC 2017, Irstc. https://doi.org/10.31219/osf.io/cwfpu

Stanujkic, D., Magdalinovic, N., Stojanovic, S., & Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141–154. https://doi.org/10.15388/informatica.2012.353

Tian, Z. peng, Wang, J., Wang, J. qiang, & Zhang, H. yu. (2017). An improved MULTIMOORA approach for multi-criteria decision-making based on interdependent inputs of simplified neutrosophic linguistic information. Neural Computing and Applications, 28, 585–597. https://doi.org/10.1007/s00521-016-2378-5