Implementasi metode AHP (Analytic Hierarchy Process) untuk pemilihan saham terbaik berbasis website

Khanady, Leonardy (2020) Implementasi metode AHP (Analytic Hierarchy Process) untuk pemilihan saham terbaik berbasis website. Bachelor thesis, Universitas Pelita Harapan.

[thumbnail of Title] Text (Title)
Title.pdf
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (796kB)
[thumbnail of Abstract] Text (Abstract)
Abstract.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (247kB)
[thumbnail of ToC] Text (ToC)
ToC.pdf
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (989kB)
[thumbnail of Chapter1] Text (Chapter1)
Chapter1.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (564kB)
[thumbnail of Chapter2] Text (Chapter2)
Chapter2.pdf
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (1MB)
[thumbnail of Chapter3] Text (Chapter3)
Chapter3.pdf
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (3MB)
[thumbnail of Chapter4] Text (Chapter4)
Chapter4.pdf
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (1MB)
[thumbnail of Chapter5] Text (Chapter5)
Chapter5.pdf
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (91kB)
[thumbnail of Bibliography] Text (Bibliography)
Bibliography.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (182kB)
[thumbnail of Appendices] Text (Appendices)
Appendices.pdf
Restricted to Repository staff only
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (2MB)

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)
Creators:
Creators
NIM
Email
ORCID
Khanady, Leonardy
NIM00000023091
leonardy189@gmail.com
UNSPECIFIED
Contributors:
Contribution
Contributors
NIDN/NIDK
Email
Thesis advisor
Romindo, Romindo
NIDN0111119101
UNSPECIFIED
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
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

Actions (login required)

View Item
View Item