RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SAHAM SYARIAH UNTUK INVESTASI JANGKA PANJANG MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING DAN WEIGHTED PRODUCT

Galih Redha Saputra, NIM.: 18106050022 (2022) RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SAHAM SYARIAH UNTUK INVESTASI JANGKA PANJANG MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING DAN WEIGHTED PRODUCT. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

A common problem that occurs with stock buyers, especially beginners, when investing in long-term Islamic stocks is that some many parameters and criteria can affect the price of a stock. In general, people will buy a stock to invest based on viral news, recommendations from people through cyberspace channels, and so on. Whereas for the long-term investment itself, accuracy is needed in determining data and criteria in viewing the financial statements of a company so that there is a greater chance of getting profits in investing in stocks. With these problems, the authors conducted a study aimed at researching data and criteria that affect the rise and fall of stocks. Furthermore, a decision support system creates to choose according to the data and criteria determined using the Simple Additive Weighting and Weighted Product methods. The result of this study is that the higher the percentage results, the more recommended the stock is for investment. The results of this study indicate that the company Indo Tambangraya Megah Tbk (ITMG) gets the highest percentage value 0.884 for the SAW method and 0.022 for the WP method. So that it can be said that the system with these two methods is relevant for use in making decisions to determine investment in Islamic stocks for the long term invesment.

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