Penerapan Metode MOORA dan WASPAS dalam Keputusan Pemilihan Lokasi Usaha Laundry


  • Sanwani Sanwani Universitas Nusa Mandiri, Jakarta, Indonesia
  • Pristiwanto Pristiwanto * Mail Universitas Budi Darma, Medan, Indonesia
  • Mesran Mesran Universitas Budi Darma, Medan, Indonesia
  • Sarwandi Sarwandi Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Laundry Business Location; Decision Support System; MOORA; WASPAS

Abstract

The location of the Laundry business is a means of building a business, namely the place where the business is founded. Competition in this Laundry business causes many things to be considered in choosing a Laundry business location because if you don't choose the right location for a Laundry business, it can cause many losses such as bankruptcy for business owners. For this reason, business owners need foresight when setting up their Laundry business. To assist entrepreneurs in making decisions regarding the selection of a Laundry business location, there is a system that can be used, namely SPK. Decision Support Systems (DSS) are the steps or stages in finding a solution to a problem where the process is carried out using a solution according to how the computer works. There are 2 methods used in this study, namely the MOORA and WASPAS methods. The MOORA method is a method that can be used in the completion and completion process of the DSS. This method has a working procedure that uses mathematical calculations. While the WASPAS method is to find the priority of the most suitable location choice by using weighting. Where the results of research using the Multi-Objective Optimization by Ratio Analysis (MOORA) method, that which meets the criteria as the best Laundry business location is alternative A1, namely Jalan Setia Budi with a value of 0.2780 as the first rank. Meanwhile, based on the WASPAS method that meets the criteria as the best Laundry business location, alternative A7 is Jalan Gatot Subroto with a value of 0.8407 as the first rank.

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References

R. Ristiana and Y. Jumaryadi, “Sistem Pendukung Keputusan Pemilihan Paket Wedding Organizer Menggunakan Metode SAW (Simple Additive Weighting),” J. Sisfokom (Sistem Inf. dan Komputer), vol. 10, no. 1, pp. 25–30, 2021.

N. Nurjannah, Z. Arifin, and D. M. Khairina, “Sistem Pendukung Keputusan Pembelian Sepeda Motor Dengan Metode Weighted Product,” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 10, no. 2, p. 20, 2015.

Y. Siagian, “Seleksi Penerimaan Karyawan Baru Menggunakan,” J. Mantik Penusa, vol. 2, no. 1, pp. 65–70, 2018.

M. W. Sari and O. Alexander, “Sistem Pendukung Keputusan Pemilihan Sepatu Pada Online Shop Choice Fashion Dengan Menggunakan Metode Moora,” vol. 5, no. 1, pp. 43–52, 2021.

E. L. AMALIA, A. N. Pramudhita, and M. R. Aditya, “Sistem Pendukung Keputusan Penentuan Lokasi Pembangunan Peternakan Ayam Menggunakan Metode MOORA,” Antivirus J. Ilm. Tek. Inform., vol. 13, no. 1, pp. 15–23, 2019.

A. Revi, I. Parlina, and S. Wardani, “Analisis Perhitungan Metode MOORA dalam Pemilihan Supplier Bahan Bangunan di Toko Megah Gracindo Jaya,” J. Nas. Inform. dan Teknol. Jar., vol. 3, no. 1, pp. 95–99, 2018.

C. Fadlan, A. P. Windarto, and I. S. Damanik, “Penerapan Metode MOORA pada Sistem Pemilihan Bibit Cabai (Kasus: Desa Bandar Siantar Kecamatan Gunung Malela),” J. Appl. Informatics Comput., vol. 3, no. 2, pp. 42–46, 2019.

L. Nababan and L. Sinambela, “Sistem Pendukung Keputusan Penentuan Kelayakan Bedah Rumah Keluarga Miskin Menggunakan Metode Moora,” J. Tek. Inform. Kaputama, vol. Vol.02, no. 2, pp. 20–27, 2018.

W. M. Kifti and I. Hasian, “Sistem Pendukung Keputusan Penentuan Merek Smartphone Terbaik Dalam Mendukung Belajar Online Mahasiswa Era Covid-19 Menggunakan Metode PSI ( Preference Selection Index ),” J. Media Inform. Budidarma, vol. 5, no. 1, pp. 762–768, 2021.

T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.

D. Nofriansyah, Multi Criteria Decision Making (MCDM) Pada Sistem Pendukung Keputusan. Yogyakarta: CV.Budi Utama, 2017.

K. Perencanaan et al., “Covid-19, New Normal, dan Perencanaan Pembangunan di Indonesia,” J. Perenc. Pembang. Indones. J. Dev. Plan., vol. 4, no. 2, pp. 240–252, 2020.

K. M. H. Juita Hutagaol, “Sistem Pendukung Kepetusan Pembelian Laptop Bekas dengan Menerapkan Metode Preference Selection Index (PSI),” pp. 446– 451, 2019.

M. S. Obeidat and H. Traini, “Ranking of water desalination technologies based on the preference selection index,” Proc. Int. Conf. Ind. Eng. Oper. Manag., vol. 0, no. March, pp. 1301–1306, 2020.

R. Attri and S. Grover, “Application of preference selection index method for decision making over the design stage of production system life cycle,” J. King Saud Univ. - Eng. Sci., vol. 27, no. 2, pp. 207–216, 2015.

I. K. Widiasa, “Manajemen Perpustakaan Sekolah,” J. Perpust. Sekol., vol. 1, no. 6, pp. 1–14, 2007.

M. R. Ramadhan, M. K. Nizam, and ..., “Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Siswa-Siswi Berprestasi Pada Sekolah SMK Swasta Mustafa,” TIN Terap. Inform. …, vol. 1, no. 9, pp. 459–471, 2021.

T. Panggabean, Mesran, and Y. F. Manalu, “Penerapan Metode Simple Additive Weighting (SAW) dalam Pemberian Reward Bagi Pegawai Honorer Menggunakan Pembobotan Rank Order Centroid,” J. MEDIA Inform. BUDIDARMA, vol. 5, no. 4, pp. 1667–1673, 2021.

R. T. Aldisa, A. Priyatna, F. Saidah, K. Y. Siahaan, and Mesran, “Analisis Perbandingan Penerapan Metode MOORA dan SAW dalam,” J. Sist. Komput. dan Inform., vol. 3, no. 4, pp. 393–404, 2022.

N. K. Daulay, B. Intan, and M. Irvai, “Comparison of the WASPAS and MOORA Methods in Providing Single Tuition Scholarships,” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, pp. 84–94, 2021.

A. T. Hidayat, N. K. Daulay, and Mesran, “Penerapan Metode Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) dalam Pemilihan Wiraniaga Terbaik,” J. Comput. Syst. Informatics, vol. 1, no. 4, pp. 367–372, 2020.

R.- Ramadiani, F. P. Rani, D. M. Khairina, and H. R. Hatta, “Sistem Pendukung Keputusan Pemilihan Pramuka Pandega Berprestasi Menggunakan Metode Multi Objective Optimization on the Basis of Ratio Analysis,” J. Teknol. Inf. dan Ilmu Komput., 2019.

A. D. Amanda, F. N. Arieni, and A. P. Windarto, “Penerapan Metode Multi Objective Optimization on The Basic of Ratio Analysis ( MOORA ) pada Pemilihan Masker Organik Wajah Berdasarkan Kriteria,” J. Sist. Komput. dan Inform., vol. 2, no. 3, pp. 283–288, 2021.

D. Pasaribu and R. K. Hondro, “Sistem Pendukung Keputusan Pemilihan Bidan Terbaik Dengan Metode MOORA (Studi Kasus Rumah Sakit Ridos),” JURIKOM (Jurnal Ris. Komputer), vol. 6, no. 2, pp. 143–149, 2019.

Y. Primadasa and Alfiarini, “Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Pembobotan Ahp Dan Moora,” Cogito Smart J., 2019.

J. Afriany, L. Ratna, S. Br, I. Julianty, and E. L. Nainggolan, “Penerapan MOORA Untuk Mendukung Efektifitas Keputusan Manajemen Dalam Penentuan Lokasi SPBU,” vol. 5, no. 2, pp. 161–166, 2018.

D. Assrani, N. Huda, R. Sidabutar, I. Saputra, and O. K. Sulaiman, “Penentuan Penerima Bantuan Siswa Miskin Menerapkan Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA),” Penentuan Penerima Bantu. Siswa Miskin Menerapkan Metod. Multi Object. Optim. Basis Ratio Anal., vol. 5, no. 2407–389X (Media Cetak), pp. 1–5, 2018.

S. C. and E. K. Zavadskas, “Applications of WASPAS Method in Manufacturing Decision Making,” Informatica, vol. 25, pp. 1–20, 2014.

A. Ulva, D. Iqbal, Nuraini, Mesran, Dian U Sutikno, and Yuhandri, “Sistem Pendukung Keputusan Pemilihan Bibit Lele Terbaik Menggunakan Metode MOORA (Multi-Objective Optimization On The Basis Of Ratio Analysis) dan WASPAS (Weight Aggregated Sum Product Assesment),” vol. 2, no. 1, pp. 177–185, 2018.


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Article History
Submitted: 2022-11-10
Published: 2022-11-29
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