Kajian Optimalisasi Metode Fuzzy TOPSIS dalam Pemilihan Saham dengan Evaluasi terhadap Risiko dan Return

Abstract

This study aims to mathematically examine the results of stock selection analysis in the banking sector listed on the Indonesia Stock Exchange (IDX) using the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) method, which is effective in handling uncertainty and subjectivity in stock market data. The five criteria used are capital gain, return on equity (ROE), beta value, price volatility, and trading volume, with five stock alternatives: BCA, BNI, Mandiri, BRI, and BTN, based on data from the last five years. The analysis process includes fuzzification, normalization, determination of positive and negative ideal solutions, distance calculation from the ideal solution, and preference value calculation. The results show that BCA has the highest preference value (Vi = 0.741), followed by Mandiri (Vi = 0.714), BRI (Vi = 0.631), BNI (Vi = 0.497), and BTN (Vi = 0.232). Validation shows the results are stable and consistent with the Pareto principle, indicating that Fuzzy TOPSIS is appropriate as a basis for objective and measurable investment decision-making.