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Jurnal MSA ( Matematika dan Statistika serta Aplikasinya )
Article . 2020 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Algoritma Genetika dalam Pengoptimuman Portofolio Perusahaan Emiten

Authors: Izma Fahria; Elyas Kurtiawan;

Algoritma Genetika dalam Pengoptimuman Portofolio Perusahaan Emiten

Abstract

ABSTRAK. Investasi saham di pasar modal tidak lepas dari risiko. Semakin tinggi keuntungan yang diperoleh dari investasi, maka akan berpotensi tinggi pula risiko yang dihadapi (high risk high return). Diversifikasi saham merupakan salah satu cara untuk memperkecil risiko investasi yang dapat dilakukan oleh investor. Tantangan besar ketika melakukan diversifikasi saham dalam portofolio adalah penentuan kandidat saham-saham dan besarnya proporsi jumlah dana yang ditempatkan pada masing-masing saham yang menyusun portofolio optimum. Penyelesaian masalah pembentukan portofolio optimum ini dilakukan dengan mengimplementasikan algoritma genetika agar diperoleh proporsi saham yang dapat menghasilkan keuntungan optimum dengan tingkat kerugian yang dapat dipertanggung jawabkan. Studi kasus dilakukan pada sejumlah saham dengan kinerja unggul yang aktif diperdagangkan di Bursa Efek Indonesia. Hasil penelitian menunjukkan bahwa metode algoritma genetika bekerja dengan efektif dalam penyelesaian masalah pembentukan portofolio optimum

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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