Perancangan Sistem Pendukung Keputusan Berbasis Website Pada Pemilihan Instrumen Investasi Terbaik Menggunakan Metode TOPSIS
Abstract
In managing finances there are various ways that can be chosen, such as saving and investing. Investment has long-term and short-term goals and has several types of instruments with each instrument having a promising return. Generation Z is now familiar with matters related to financial technology for their money management field. The lack of literacy among Generation Z in terms of investment raises doubts and even fear in making an investment making it difficult for them to choose or decide on the best investment instrument product. This study aims to help potential investors, especially Generation Z, in choosing the type of investment according to the selection criteria offered, namely Equity Mutual Funds, Money Market Mutual Funds, Crypto, Bonds, and Deposits. The research method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Topsis is a multicriteria decision making method based on the concept that the best alternative not only has the shortest distance from the positive ideal solution but also has the longest distance from the negative ideal solution. The results of data analysis obtained the best preference values, namely Equity Mutual Funds of 0.75 and Deposits with a value of 0.62. The results of this study are implemented by designing a website-based decision support system using the PHP programming language and MySql database which can help determine the best investment instrument according to user preferences. Â
keywords : Decision Support System, Invesment, MySQL, PHP, TOPSIS
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R. Saputra, “Analisis Faktor Investasi Pada Mahasiswa Generasi Z Di Bandung,†J. Ilmu Keuang. dan Perbank., vol. 9, no. 1, pp. 41–57, 2020, doi: 10.34010/jika.v9i1.2679
Bappenas, “Indonesia 2045: Berdaulat, Maju, Adil dan Makmur,†Bappenas.Go.Id, 2019, [Online]. Available: https://www.bappenas.go.id/files/Visi Indonesia 2045/Ringkasan Eksekutif Visi Indonesia 2045_Final.pdf
“Investor Muda Zaman Now Dominasi Pasar Modal Indonesia.â€
Faidah, F. â€Pengaruh literasi keuangan dan faktor demografi terhadap minat investasi mahasiswaâ€. Journal of Applied Business and Economic, 5(3), 251-263, 2019.
Z. Azhar, N. Azilah, and A. Syafiq, “Investment Awareness Among Young Generation,†vol. 36, no. Icbmr, pp. 126–135, 2017, doi: 10.2991/icbmr-17.2017.12.
E. T. Alawiah and S. Susilowati, “Sistem Pendukung Keputusan Pembelian Vending Machine Dengan Metode TOPSIS Studi Kasus PT. KAI Commuter Jabodetabek,†IJCIT (Indonesian J. Comput. Inf. Technol., vol. 3, no. 2, pp. 208–215, 2018.
E. T. Alawiah, S. Sefrika, and M. H. Siregar, “Sistem Pendukung Keputusan Pemilihan Instrumen Investasi Bagi Individu Dengan Metode Topsis,†IJCIT (Indonesian J. Comput. Inf. Technol., vol. 5, no. 1, pp. 8–13, 2020, doi: 10.31294/ijcit.v5i1.6596.
T. S. Waruwu and S. Nasution, “Sistem Pendukung Keputusan Pemilihan Investasi Saham Berbasis Web Menggunakan Metode SMART,†J. Mahajana Inf., vol. 5, no. 1, pp. 8–13, 2020, [Online]. Available: http://e-journal.sari-mutiara.ac.id/index.php/7/article/view/1191
Santiary. P.A.W., et al, †Sistem Pendukung Keputusan Penentuan Lokasi Wisata Dengan Metode Topsisâ€, Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), Vol. 5, No. 5, Oktober 2018, hlm. 621-628, DOI: 10.25126/jtiik2018551120.
A. Suryana, E. Yulianto, and K. D. Pratama, “PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENILAIAN PRESTASI PEGAWAI MENGGUNAKAN METODE SAW, AHP, DAN TOPSISâ€, jitter, vol. 3, no. 2, Apr. 2017.
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