Sistem Pendukung Keputusan Pemilihan Saham BUMN dengan Model AHP
Abstract views: 1209 , pdf downloads: 1142Abstract
Investing or investing money in the hope of generating long-term profits and in the near future, can be done by investing in stocks. Stock investment in the Indonesia Stock Exchange which is one of the investments with high profit levels. The profit of stock investment is greatly influenced by the selection of the right stocks in a portfolio. However, if one chooses shares in a portfolio, there may be a loss. To avoid these losses investors usually buy liquid BUMN shares on the stock market. The problem that reappears is that not all SOE shares produce significant and sometimes stagnant profits. Analyzing the uncertainty of a stock, investors can involve the stock selection process by using a decision support system.
Stock selection with SPK can produce a stock portfolio with a higher level of profit compared to the results of individual decision making. Implementation of the SPK stock selection uses two economic approaches, namely fundamental analysis and technical analysis. Fundamental analysis uses financial ratio data which has a significant influence on a company's stock development. This study uses the AHP method to accommodate the results of individual stock decision making. AHP method is used to rank the best alternative from a number of alternatives. This research produces individual stock ranking which can be used as a stock selection recommendation for investors.
Downloads
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
[2] A. Mauko, B. Muslimin, and P. Sugiartawan, “Sistem Pendukung Keputusan Kelompok Dalam Pemilihan Saham Indeks LQ 45 Menggunakan Metode,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 1, pp. 25–34, 2018.
[3] P. Sugiartawan and S. Hartati, “Group Decision Support System to Selection Tourism Object in Bali Using Analytic Hierarchy Process ( AHP ) and Copeland Score Model,” 2018 Third Int. Conf. Informatics Comput., pp. 1–6.
[4] J. Lv and Y. Wang, “A Ranking Method for Information Security Risk Management based on AHP and PROMETHEE,” IEEE J. Mag., 2010.
[5] F. G. M. Ai-azabl and M. A. Ayu, “Web Based Multi Criteria Decision Making Using AHP Method,” 2010.
[6] I. Pratistha, P. Sugiartawan, U. G. Mada, M. Manajemen, and U. G. Mada, “Sistem Pendukung Keputusan Kelompok Pemilihan E-Commerrce Menggunakan Metode Profile Matching dan BORDA,” vol. 1, no. 1, 2018.
[7] G. Yan and Y. Xiao-Guo, “Stock Selection Decision Based on AHP, Mathematics in Practice and Theory,” vol. 134.
[8] A. H. P. D. A. N. Borda, “Gdss Penilaian Kinerja Dan Peringkat Guru,” vol. 1, pp. 91–104, 2017.
[9] G. Ogiana, N. Made, A. Esta, D. Wirastuti, and W. G. Ariastina, “Group Decision Support System ( GDSS ) Untuk Evaluasi Penawaran Pekerjaan Konstruksi Menggunakan Metode AHP dan Borda,” Teknol. Elektro, vol. 16, no. 3, 2017.
[10] J. Green-armytage, “Strategic Voting and Nominatio,” Springer, 2013.
[11] Z. S. Xu, “Approches To Multi-Stage Multi-Attribute Group Decision Making,” Int. J. Inf. Technol. Decis. Mak., vol. 10, no. 01, 2011.
[12] M. A. Budhi and R. Wardoyo, “Group Decision Support System Determination Of Best Employee Using Topsis And Borda,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 11, no. 2, p. 165, 2017.
[13] B. Susilo and A. SN, “GDSS Penentuan Lokasi Shelter Baru Transjogja Menggunakan Metode Brown-Gibson dan Borda,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 6, no. 2, pp. 57 – 66, 2012.
