Khanady, Leonardy (2020) Implementasi metode AHP (Analytic Hierarchy Process) untuk pemilihan saham terbaik berbasis website. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Jumlah investor saham semakin meningkat dari dulu hingga saat ini. Begitu juga dengan jumlah perusahaan yang tercatat di Bursa Efek Indonesia (BEI). Yang dimana membuat investor bingung untuk memilih saham yang terbaik dari ratusan saham yang diperdagangkan di BEI. Metode yang digunakan untuk pemilihan saham terbaik yaitu menggunakan metode Analytic Hierarchy Process (AHP). Investor akan memasukkan penilaian terhadap perbandingan antar kriteria dan antar alternatif tiap kriteria. Kriteria – kriteria yang digunakan untuk pemilihan saham adalah Price to Earnings Ratio (PER), Price to Book Value (PBV), Debt to Equity Ratio (DER), Return on Equity (ROE), Return on Assets (ROA). Pada penelitian ini, peneliti merancang suatu sistem pendukung keputusan berbasis web yang dimana membantu investor dalam menentukan saham terbaik yang sesuai dengan penilaianya sendiri dengan pendekatan metode AHP./ The number of stock investors has increased from the past to the present. Likewise, with the number of companies listed on the Indonesia Stock Exchange (IDX). Which makes investors confused to choose the best stock from hundreds of stocks that are regulated on the IDX. The method used for selecting the best stock is Analytic Hierarchy Process (AHP). Investors will enter an assessment of the comparison between criteria and between alternatives for each criterion. The criteria used for stock selection are Price to Earnings Ratio (PER), Price to Book Value (PBV), Debt to Equity Ratio (DER), Return on Equity (ROE), Return on Assets (ROA). In this study, researchers designed a web-based decision support system which helps investors determine the best stocks according to their own assessment using the AHP method approach.
Item Type: | Thesis (Bachelor) | ||||||||
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Uncontrolled Keywords: | SPK; AHP; Saham Terbaik; Website | ||||||||
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science | ||||||||
Divisions: | University Subject > Current > Faculty/School - UPH Medan > School of Information Science and Technology > Information Systems Current > Faculty/School - UPH Medan > School of Information Science and Technology > Information Systems |
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Depositing User: | Users 9207 not found. | ||||||||
Date Deposited: | 11 Aug 2020 07:28 | ||||||||
Last Modified: | 11 Aug 2020 07:28 | ||||||||
URI: | http://repository.uph.edu/id/eprint/9954 |
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