Sistem Pendukung Keputusan Pemilihan Kartu Internet Smartphone Menggunakan Metode MOORA dan WASPAS
Abstract
Currently the internet is the most widely used source of information among the public to find the information needed. The use of the internet can meet the needs of information sources that are fast, easy, precise, accurate and inexpensive. Through the internet can access a variety of information and knowledge according to relevant needs. The internet also has several advantages that are not shared by other conventional sources of information, access to information can be done with restrictions on distance, time and space which is part of the advantages of the internet. Making it possible to get the source of the information obtained. Thus, based on the results of a survey conducted by the previous author, involving 30 respondents who had used internet service packages before, the result was that 90% of respondents had difficulty making the right choice, according to the criteria they wanted. With a decision support system using the MOORA and WASPAS methods, it will be easier to find a solution to the problem of choosing an internet package based on the conditions offered by the various internet operators themselves. These criteria include speed, signal, internet quota, active period and price. Based on the calculations of these two methods, the best smartphone internet card title is alternative A1 with the name Telkomsel with a value for the MOORA method, which is 0.437, while the WASPAS method is 0.942 as the best alternative. So that people don't need to worry about choosing an internet card for smartphones that are good and have good access speeds
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References
M. E. Y. S. H. Prawiro and A. Wijayanto, “Pengaruh Citra Merek Dan Kualitas Produk Terhadap Loyalitas Pelanggan Kartu Internet Simpati Telkomsel Di Semarang,” J. Ilmu Adm. Bisnis, vol. 10, no. 2, pp. 1005–1014, 2021.
S. F. Widianingsih, A. M. Ramdan, and S. Saori, “Analisis Social Media Marketing Terhadap Brand Loyalty Pada Produk Operator Seluler Dengan Customer Relationship Management Sebagai Variabel Mediasi,” Manag. Stud. Entrep. J., vol. 3, no. 3, pp. 1611–1621, 2022.
K. Govindan, H. Mina, and B. Alavi, “A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19),” Transp. Res. Part E Logist. Transp. Rev., vol. 138, no. April, p. 101967, 2020.
C. F. Sianturi, L. T. Sianturi, U. Hasanah, Khairunnisa, and Mesran, “Decision Support System for Accepting Pre-Employment Cards during the Covid-19 Pandemic Using the Method Multi Objective Optimization on The Basic of Ratio Analysis (MOORA),” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 2, pp. 217–223, 2021.
F. T. Waruwu, “Comparative Analysis of Ranking Methods of WASPAS + ROC with Preference Selection Index ( PSI ) in Determining the Performance of Young Lecturers,” vol. 5, no. 36, pp. 207–214, 2021.
A. Afrisawati and S. Sahren, “Analisis Perbandingan Menggunakan Metode Moora Dan Waspas Pemilihan Bibit Sapi Potong Terbaik,” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. 6, no. 3, pp. 269–276, 2020.
S. L. Mulani, “Analisis Perbandingan Metode Moora dan Waspas dalam Pendukung Keputusan Pemilihan Konten Youtube Layak Tonton untuk Anak,” J. Sist. dan Inform., vol. 15, no. 2, pp. 115–121, 2021.
U. M. Wahyuni and A. D. Kartika, “MELALUI PERBANDINGAN METODE MOORA-WASPAS,” vol. 8, no. 2, pp. 108–114, 2021.
F. Nugroho, R. H. Mulia, E. Maruli, and T. Situmorang, “Penerapan Metode Multi-Objective Optimization on The Basic of Ratio Analysis ( MOORA ) Dalam Seleksi Siswa Unggulan Sekolah,” vol. 6, pp. 2287–2292, 2022.
J. H. Lubis and D. Gusmaliza, “Penerapan Metode WASPAS Dalam Pemilihan Perguruan Tinggi Bagi Siswa Sekolah,” vol. 4, no. 1, pp. 177–183, 2022.
F. Nurningtyas and Y. Ayriza, “Pengaruh kontrol diri terhadap intensitas penggunaan smartphone pada remaja,” Acta Psychol., vol. 3, no. 1, pp. 14–20, 2021.
F. A. Nugroho, “PENGARUH KUALITAS PRODUK, HARGA DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN KARTU INTERNET TELKOMSEL (Studi Pada Masyarakat Di Kabupaten Kediri),” J. Ilm. Mhs. FEB, vol. 10, no. 1, 2021.
R. D. Arista, S. Defit, and Y. Yunus, “MOORA sebagai SistemPendukung Keputusan Dalam Mengukur Tingkat Kinerja Dosen (Universitas Pembangunan Panca Budi Medan),” J. Inform. Ekon. Bisnis, vol. 2, no. 2019, pp. 104–110, 2020.
A. Yanda and Mesran, “Penentuan Penerima Bantuan Pangan Non Tunai (BPNT) Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA),” Bull. Informatics Data Sci., vol. 1, no. 2, pp. 38–45, 2022.
Mesran, J. H. Lubis, and I. F. Rahmad, “Penerapan Metode Multi-Objective Optimization on the Basic of Ratio Analysis (MOORA) dalam Keputusan Penerimaan Siswa Baru,” Bull. Informatics Data Sci., vol. 1, no. 2, pp. 73–80, 2022.
T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.
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.
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.
M. Mesran and F. T. Waruwu, “Comparative Analysis of MOORA and MOOSRA Methods in Determining Prospective Students Recipient of the Indonesian Smart Card (KIP),” J. Inf. Syst. Res., vol. 3, no. 4, pp. 499–506, 2022.
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.
A. S. R. A. Binjori, H. R. B. Hutapea, and M. Syahrizal, “Sistem Pendukung Keputusan Pemilihan Operator Seluler Menggunakan Metode Multi-Objective Optimization on the Basis of Ratio Analysis (Moora),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, pp. 61–65, 2018.
A. Juanda and F. A. Sianturi, “Sistem Pendukung Keputusan Pemilihan Karyawan Tetap pada Trinity Teknologi Nusantara Dengan Metode Moora,” JIKOMSI [Jurnal Ilmu Komput. dan Sist. Informasi], vol. 3, no. 3, pp. 277–282, 2021.
T. H. B. Aviani and A. T. Hidayat, “Sistem Pendukung Keputusan Seleksi Pemberian Uang Kuliah Tunggal Menerapkan Metode WASPAS,” J. Sist. Komput. dan Inform., vol. 2, no. 1, pp. 102–109, 2020.
S. Damanik and D. P. Utomo, “Implementasi Metode ROC ( Rank Order Centroid ) Dan Waspas Dalam Sistem Pendukung Keputusan Pemilihan Kerjasama Vendor,” vol. 4, pp. 242–248, 2020.
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