DECISION SUPPORT SYSTEM APPLICATION FOR DETERMINING CURRENCY PRODUCTS THE BEST CRYPTOCURRENCY USING THE METHODMULTI FACTOR EVALUATION PROCESS (MFEP)

Feedrix Anberto Panjaitan, Arie Rafika, Nurjamiyah Nurjamiyah

Abstract


Information systems and computer technology are developing very rapidly. More and more decision support system applications are used to make it easier to solve problems using applications. The decision making of the best cryptocurrency products is currently still done manually. There is a need for a Decision Support System Application to assist potential investors in determining the best cryptocurrency product. In the Decision Support System Application to determine cryptocurrency virtual currency products, there are five criteria, namely Criteria, Adoption, Production Costs, Regulations, and Related News. The Multifactor Evaluation Process (MFEP) algorithm method can be used in decision support systems. By using the MFEP method, each predetermined criterion is given a weight, then each alternative is evaluated based on these consideration factors. The alternative with the highest value deserves to be determined as the best cryptocurrency. This decision support system application was developed using the waterfall method, namely by analyzing, then calculating the MFEP method algorithm, then designing the system, then implementing it into the system after that a blackbox trial was carried out. From this research, the results of the best crypto product, namely Bitcoin, have a total evaluation weight of 4.25 using a web-based MFEP method of decision support application. This application has helped potential investors before entering the crypto market in receiving information and making decisions in determining the best cryptocurrency product. It is hoped that this application can minimize the occurrence of errors in determining the best cryptocurrency virtual currency.


Full Text:

PDF

References


Afrizal, R. (2017). Pemahaman Cryptocurrency. Abhisena, G. A., Sukarsa, I. M., & Githa, D. P. (2017). Implementasi Database Auditing dengan Memanfaatkan Sinkronisasi DBMS. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, 8(2), 89. https://doi.org/10.24843/lkjiti.2017.v08.i02.p03

Adniato Hafiz (2018). Determinan penggunaan mata uang kripto di Indonesia. Jurnal Teknologi Blockchain

Andaru, A. (2018). Pengertian Database Secara Umum. Osf Preprints, 2.

Ikhlas, M. (2019). Penerapan Metode Mfep (Multifactor Evaluation Process) Dalam

Pengambilan Keputusan Pemilihan Bibit Kelapa Sawit Terbaik. Jurnal Sains Dan Teknologi: Jurnal Keilmuan Dan Aplikasi Teknologi Industri, 19(1), 16. https://doi.org/10.36275/stsp.v19i1.128

Hanif, M. (2016). Sistem Pendukung Keputusan. Jurnal Informatika Mulawarman, 6.1.

Harip Santoso. (2017). Perencanaan Dan Pengembangan Aplikasi Absensi Mahasiswa Menggunakan Smart Card Pengembangan Kampus Cerdas. Jurnal Integrasi 9(1):84

Kurniawan, T. A. (2018). Pemodelan Use Case (UML): Evaluasi Terhadap beberapa Kesalahan dalam Praktik. Jurnal Teknologi Informasi Dan Ilmu Komputer, 5(1), 77. https://doi.org/10.25126/jtiik.201851610

Kotler dan Amstrong. (2018). Harga Kualitas Produk Terhadap Keputusan Pembelian Mac N Go. Jurnal Manajemen dan Start up Bisnis

Kumar dan Smith. (2017). Crypto Currency And Introduction. Jurnal of Economic Survey

Lin dan Wang. (2016). Perkembangan Mata Uang Crypto. Jurnal Bitcoin Mata Uang Crypto

Supiyandi, S.-, Siahaan, A. P. U., & Alfiandi, A. (2020). Sistem Pendukung Keputusan

Pemilihan Pegawai Honorer Kelurahan Babura dengan Metode MFEP. Jurnal Media Informatika Budidarma, 4(3), 567. https://doi.org/10.30865/mib.v4i3.2107

Turaina, R., & Gustia E, C. (2016). Sistem Penunjang Keputusan Penerimaan Calon Tenaga Honorer Di Sma N 1 Junjung Sirih Kab. Solok Menggunakan Metode Multifaktor Evaluasi Proses (Mfep).

Widyastuti, A. (2017) Pemahaman Metode Multi Factor Evaluation Process (MFEP). Jurnal Teknologi Informasi Dan Ilmu Komputer , 8(2), 22.


Refbacks

  • There are currently no refbacks.