Analysis of the Multi Objective Optimization by Ratio Analysis (MOORA) Method in Determining Pilot Areas at PT. XYZ

Windi Saputri Simamora; Siti Sarah Harahap; Akbar Idaman; Septian Simatupang

doi:10.47709/cnahpc.v6i3.4149

Authors

Windi Saputri Simamora Universitas Satya Terra Bhinneka
Siti Sarah Harahap Universitas Satya Terra Bhinneka
Akbar Idaman Universitas Satya Terra Bhinneka
Septian Simatupang Politeknik Wilmar Bisnis Indonesia

DOI:

10.47709/cnahpc.v6i3.4149

Keywords:

Pilot Area, Decision Support System, MOORA, Accuracy

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Abstract

This research analyzes the application of the Multi Objective Optimization by Ratio Analysis (MOORA) method model in determining the Pilot Area at PT XYZ. This method is used to evaluate various performance criteria, including customer satisfaction, productivity, service quality, and operational efficiency. Currently, the Pilot Area assessment and selection process at PT XYZ is still done manually, which causes a lack of accuracy and efficiency. MOORA was chosen for its ability to handle multi-criteria decision-making problems more systematically and objectively. The analysis results showed that Alternative Area 7 obtained the highest final score of 0.39, placing it as an area with superior performance. The application of MOORA is proven to improve accuracy and efficiency in the Pilot Area determination process, providing a more objective basis for decision-making. By using MOORA, PT XYZ can evaluate area performance more comprehensively and accountably. This research recommends that PT XYZ implement the MOORA method thoroughly and conduct periodic evaluations of the methods used. For theory development, PT XYZ can add specific evaluation criteria according to company needs. The implementation of these suggestions is expected to improve the quality of service and competitiveness of PT XYZ in the global market. Further research is expected to compare MOORA with other methods to strengthen the validity of the results. Thus, this research not only provides a practical contribution to PT XYZ but also adds academic insight into the application of multi-criteria optimization methods in the context of performance management and service improvement.

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References

Aranda, S., & Witanti, W. (N.D.). Sistem Pendukung Keputusan Penentuan Area Pembayaran Pajak Menggunakan Simple Additive Weighting (Saw) Di Kota Cimahi. In Seminar Riset Mahasiswa-Computer & Electrical (Serima-Ce (Vol. 1, Issue 1).

Daulay, N. K., Intan, B., & Irvai, M. (2021). Comparison Of The Waspas And Moora Methods In Providing Single Tuition Scholarships. The Ijics (International Journal Of Informatics And Computer Science), 5(1), 84. Https://Doi.Org/10.30865/Ijics.V5i1.2969

Emovon, I., Okpako, O. S., & Edjokpa, E. (2021). Application Of Fuzzy Moora Method In The Design And Fabrication Of An Automated Hammering Machine. World Journal Of Engineering, 18(1), 37–49. Https://Doi.Org/10.1108/Wje-07-2020-0250

Feizi, F., Karbalaei-Ramezanali, A. A., & Farhadi, S. (2021). Fucom-Moora And Fucom-Moosra: New Mcdm-Based Knowledge-Driven Procedures For Mineral Potential Mapping In Greenfields. Sn Applied Sciences, 3(3). Https://Doi.Org/10.1007/S42452-021-04342-9

Hakim Lubis, J., & Fitrianto Rahmad, I. (2022). Penerapan Metode Multi-Objective Optimization On The Basic Of Ratio Analysis (Moora) Dalam Keputusan Penerimaan Siswa Baru. Bulletin Of Informatics And Data Science, 1(2). Https://Ejurnal.Pdsi.Or.Id/Index.Php/Bids/Index

Hamurcu, M., & Eren, T. (2022). Applications Of The Moora And Topsis Methods For Decision Of Electric Vehicles In Public Transportation Technology. Transport, 37(4), 251–263. Https://Doi.Org/10.3846/Transport.2022.17783

Handayani, M., Azis Ubaidillah, A., & Royal, S. (2023). Implementasi Metode Moora Sebagai Pendukung Keputusan Dalam Pemilihan Tendik Terbaik. In Journal Of Science And Social Research: Vol. Vi (Issue 2). Http://Jurnal.Goretanpena.Com/Index.Php/Jssr

Hasirun, H., Kusrini, K., & Kusnawi, K. (2023). Implementasi Moora Pada Seleksi Dosen Terbaik Berdasarkan Hasil Penilaian Dalam Pembelajaran Kuliah. Indonesian Journal Of Business Intelligence (Ijubi), 6(1). Https://Doi.Org/10.21927/Ijubi.V6i1.3331

Miftakhun Nizar, M., Alit, R., & Prima Aditiawan, F. (N.D.). Implementasi Metode Moora Pada Sistem Pendukung Keputusan Pemilihan Smartwatch Terbaik. In Jurnal Informatika Dan Sistem Informasi (Jifosi) (Vol. 02, Issue 1).

Ramadhan, R. F. (2023). Implementasi Dan Analisis Metode Moora Dan Smart Pada Pemilihan Platform Jual Beli Online Menggunakan Decision Support System. Komputika?: Jurnal Sistem Komputer, 12(1), 63–71. Https://Doi.Org/10.34010/Komputika.V12i1.9300

Rizal, C., Iqbal, M., Rian Putra, R., & Sallam, H. (N.D.). Implementasi Multi-Objective Optimization Based On Ratio Analysis (Moora) Dalam Sistem Pengambilan Keputusan Pemilihan Jurusan Berbasis Minat Siswa Implementation Of Multi-Objective Optimization Based On Ratio Analysis (Moora) In Student Interest-Based Decision Making Systems. In Jurnal Testing Dan Implementasi Sistem Informasi (Vol. 1, Issue 2). Https://Www.Bps.Go.Id/

Satoglu, S. I., & Türkekul, ?. (2021). Selection Of Material Handling Equipment Using The Ahp And Moora. Jurnal Teknik Industri, 22(1), 113–124. Https://Doi.Org/10.22219/Jtiumm.Vol22.No1.113-124

Shahzadi, G., Luqman, A., & Ali Al-Shamiri, M. M. (2022). The Extended Moora Method Based On Fermatean Fuzzy Information. Mathematical Problems In Engineering, 2022, 1–15. Https://Doi.Org/10.1155/2022/7595872

Simaremare, M., Taufik, F., Ibnutama, K., Informasi, S., & Triguna Dharma, S. (N.D.). Implementasi Sistem Pendukung Keputusan Menentukan Tempat Wisata Terbaik Menggunakan Metode Moora. Https://Ojs.Trigunadharma.Ac.Id/Index.Php/Jsi

Sintaro, S. (2024). Kombinasi Multi-Objective Optimization On The Basis Of Ratio Analysis (Moora) Dan Piprecia Dalam Seleksi Penerimaan Barista. Https://Doi.Org/10.58602/Jima-Ilkom.V3i1.23

Sirait, A. S., Safii, M., & Gunawan, I. (2021). Implementasi Moora Berbasis Web Pada Penentuan Kelayakan Penerima Bantuan Siswa Miskin. Satesi: Jurnal Sains Teknologi Dan Sistem Informasi, 1(1), 7–14. Https://Doi.Org/10.54259/Satesi.V1i1.2

Siregar, V. M. M., Hanafiah, M. A., Siagian, N. F., Sinaga, K., & Yunus, M. (2022). Decision Support System For Selecting The Best Practical Work Students Using Moora Method. Internet Of Things And Artificial Intelligence Journal, 2(4), 270–278. Https://Doi.Org/10.31763/Iota.V2i4.562

Susanto, H., Kurnia, F., Yusra, Y., & Oktavia, L. (2022). Implementasi Metode Moora Pada Sistem Pendukung Keputusan Penilaian Kinerja Karyawan. Jurnal Media Informatika Budidarma, 6(4), 2222. Https://Doi.Org/10.30865/Mib.V6i4.4750

Utama, D. M., Asrofi, M. S., & Amallynda, I. (2021). Integration Of Ahp-Moora Algorithm In Green Supplier Selection In The Indonesian Textile Industry. Journal Of Physics: Conference Series, 1933(1). Https://Doi.Org/10.1088/1742-6596/1933/1/012058

Yunianto, E., Wibowo, A. P., Informatika, T., & Pratama, W. (2021). Implementasi Metode Ahp Dan Moora Untuk Pemeringkatan Emarketplace Indonesia Tahun 2020 Kuartal Kedua. 6(1).