Sistem Pendukung Keputusan Pemilihan Investasi Saham Menggunakan Metode TOPSIS
Abstract
Selecting the right stock investment poses a challenge for investors as it requires an in-depth analysis of various financial criteria and investment ratios. This study aims to develop a decision support system to assist investors in selecting stocks based on criteria such as Earnings Per Share (EPS), Price to Earnings Ratio (PER), Price to Book Value (PBV), Return on Equity (ROE), Debt to Equity Ratio (DER), and Dividend Yield (DY). The system is designed using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, which calculates and ranks stock alternatives based on priority scores. The system development process adopts the Extreme Programming (XP) approach. System testing demonstrates that the TOPSIS method effectively delivers accurate calculations. The system provides stock recommendations based on investment criteria tailored to user preferences. The findings of this study confirm that the developed decision support system can assist investors in selecting stocks that align with their investment preferences. This system is expected to serve as a valuable tool for investors in making faster, well-informed, and data-driven investment decisions.
References
[2] A. L. Mukrimatin and N. A. Khabibah, “Analisis Fundamental Laporan Keuangan pada PT Unilever Indonesia Tbk Terhadap Pengambilan Keputusan Investasi,” J. Ilm. Akunt. Kesatuan, vol. 9, no. 3, pp. 523–530, 2021, doi: 10.37641/jiakes.v9i3.897.
[3] B. Tri Cahya and N. W. Ayu Kusuma, “Pengaruh Motivasi dan Kemajuan Teknologi Terhadap Minat Investasi Saham,” J. Ilmu Ekon. dan Keislam., vol. 7, pp. 192–207, 2019.
[4] S. Setiawansyah, “Sistem Pendukung Keputusan Rekomendasi Tempat Wisata Menggunakan Metode TOPSIS,” J. Ilm. Inform. dan Ilmu Komput., vol. 1, no. 2, pp. 54–62, 2022, doi: 10.58602/jima-ilkom.v1i2.8.
[5] F. R. Darmawan, E. L. Amalia, and U. D. Rosiani, “Penerapan Metode Topsis pada Sistem Pendukung Keputusan untuk Kota yang Menerapkan Pembatasan Sosial Berskala Besar yang di Sebabkan Wabah Corona,” J. Sist. dan Teknol. Inf., vol. 9, no. 2, p. 250, 2021, doi: 10.26418/justin.v9i2.43896.
[6] M. Bagus Yuliandre, I. Kaniawulan, and C. Dewi Lestari, “Sistem Informasi Pengarsipan Berbasis Web Menggunakan Metode Extreme Programming Di Balai Kesatuan Pengelolaan Hutan (Bkph) Sadang Perhutani Puwakarta,” JATI (Jurnal Mhs. Tek. Inform., vol. 7, no. 3, pp. 1980–1984, 2023, doi: 10.36040/jati.v7i3.6986.
[7] A. Shrivastava, I. Jaggi, N. Katoch, D. Gupta, and S. Gupta, “A Systematic Review on Extreme Programming,” J. Phys. Conf. Ser., vol. 1969, no. 1, 2021, doi: 10.1088/1742-6596/1969/1/012046.
[8] P. A. Mandala and Kurniawan, “Penerapan Metode Extreme Programming (XP) pada Pengembangan Sistem Informasi Penyewaan Lapangan Olahraga (SIPELA),” J. Jupiter, vol. 14, no. 1, pp. 71–82, 2022.
[9] M. H. Rahmadini, A. Faroqi, and A. Wulansari, “Analisis Kualitas Website Perpustakaan Menggunakan Metode Webqual 4.0,” Jutisi J. Ilm. Tek. Inform. dan Sist. Inf., vol. 11, no. 2, p. 433, 2022, doi: 10.35889/jutisi.v11i2.870.
[10] Kus Indrani Listyoningrum, Danise Yunaini Fenida, and Nurhasan Hamidi, “Inovasi Berkelanjutan dalam Bisnis: Manfaatkan Flowchart untuk Mengoptimalkan Nilai Limbah Perusahaan,” J. Inf. Pengabdi. Masy., vol. 1, no. 4, pp. 100–112, 2023, doi: 10.47861/jipm-nalanda.v1i4.552.
[11] A. B. D. K. Fuad Hilmi, “pj manajement Rancang Bangun SI,” Peranc. Sist. Inf. Pemesanan Paket Pernikahan Berbas. Web Study Kasus Di Wedd. Organ. PJ Manag., vol. 8, pp. 136–141, 2018.
[12] R. Widyastuti, “Penerapan Sistem Informasi Akademik Di Smk Yaspen Jakarta,” PROSISKO J. Pengemb. Ris. dan Obs. Sist. Komput., vol. 9, no. 2, pp. 9–24, 2022, doi: 10.30656/prosisko.v9i2.4938.
This work is licensed under a Creative Commons Attribution 4.0 International License.
