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 |