Penerapan metode saw (simple additive weighting) dalam pemilihan saham terbaik pada indeks saham LQ45 periode 2023-2024 pada tahun 2021

Wesley, Wesley (2024) Penerapan metode saw (simple additive weighting) dalam pemilihan saham terbaik pada indeks saham LQ45 periode 2023-2024 pada tahun 2021. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Peringkat saham adalah aspek krusial yang perlu dipertimbangkan dalam memilih saham yang optimal. Oleh karena itu, setiap saham harus dianalisis untuk menentukan peringkatnya, termasuk yang terdaftar dalam indeks LQ45, yang merupakan salah satu dari indeks utama di Bursa Efek Indonesia (BEI). Penelitian ini bertujuan untuk menerapkan metode Simple Additive Weighting (SAW) dalam mengidentifikasi saham-saham terbaik dari indeks LQ45 untuk periode 2023-2024 pada tahun 2021 berdasarkan indikator kinerja yang beragam, seperti Dividen Yield (DY), Price To Book Value (PBV), Price Earning Ratio (PER), dan Return On Equity (ROE). Data yang digunakan berasal dari laporan tahunan yang diterbitkan oleh BEI untuk indeks LQ45 periode 2023-2024 serta platform analisis saham Stockbit. Data tersebut kemudian dianalisis menggunakan metode Simple Additive Weighting (SAW) untuk menghasilkan peringkat akhir, di mana saham kelompok A (peringkat 1-20) teridentifikasi sebagai saham terbaik dengan nilai preferensi yang tinggi. Kemudian untuk mengukur keakuratan hasil perhitungan menggunakan metode Simple Additive Weighting (SAW), dilakukan perbandingan antara hasil peringkat saham yang dihasilkan dengan data keuntungan saham pada kelompok A, B, dan C pada periode observasi yang sama. Hasil analisis menunjukkan bahwa saham kelompok A memiliki rata-rata keuntungan sebesar 6.61%, saham kelompok B sebesar 3.51%, dan saham kelompok C sebesar 13.69%. / Stock ranking is a crucial aspect that needs to be considered in selecting optimal stocks. Therefore, each stock must be analyzed to determine its ranking, including those listed in the LQ45 index, which is one of the main indices on the Indonesia Stock Exchange (IDX). This study aims to apply the Simple Additive Weighting (SAW) method in identifying the best stocks from the LQ45 index for the 2023-2024 period in 2021 based on various performance indicators, such as Dividend Yield (DY), Price To Book Value (PBV), Price Earning Ratio (PER), and Return On Equity (ROE). The data used comes from the annual report published by the IDX for the LQ45 index for the 2023-2024 period and the Stockbit stock analysis platform. The data is then analyzed using the Simple Additive Weighting (SAW) method to produce the final ranking, where group A stocks (ranked 1-20) are identified as the best stocks with high preference values. Then to measure the accuracy of the calculation results using the Simple Additive Weighting (SAW) method, a comparison was made between the stock ranking results produced with stock profit data in groups A, B, and C in the same observation period. The analysis results show that group A stocks have an average profit of 6.61%, group B stocks 3.51%, and group C stocks 13.69%.
Item Type: Thesis (Bachelor)
Creators:
Creators
NIM
Email
ORCID
Wesley, Wesley
NIM03082210001
wesleyshen9@gmail.com
UNSPECIFIED
Contributors:
Contribution
Contributors
NIDN/NIDK
Email
Thesis advisor
Kusuma, Benz Edy
NIDN0327058302
benz.kusuma@lecturer.uph.edu
Uncontrolled Keywords: Metode Simple Additive Weighting; Indeks Saham LQ45; Indikator Kinerja Saham; Peringkat Saham; Pemilihan Saham Terbaik
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: Wesley Wesley
Date Deposited: 25 Feb 2025 03:38
Last Modified: 25 Feb 2025 03:38
URI: http://repository.uph.edu/id/eprint/67251

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