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PENERAPAN METODE CAPITAL ASSET PRICING MODEL (CAPM) UNTUK MENENTUKAN KELOMPOK SAHAM-SAHAM EFISIEN (Studi Pada Perusahaan Sektor Asuransi Go-Public Yang Terdaftar di Bursa Efek Indonesia Periode 2012-2014) Riska Yulianti; . Topowijono; Devi Farah Azizah
Jurnal Administrasi Bisnis Vol 38, No 2 (2016): SEPTEMBER
Publisher : Fakultas Ilmu Administrasi Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.127 KB)

Abstract

Investments that serves efficient stock investing is to consider the factors that may affectthe return on the stock. With the CAPM method, investors can gauge the stock's performance in determining the level of expectation of return (expected return) of a security and minimize investment risk. This research uses descriptive method with quantitative approach. The population in this study are all companies go public insurance sectors listed in Indonesia Stock Exchange in 2012-2014. The sampling technique used was purposive sampling method. Based on predetermined criteria, acquired 7 shares of insurance companies sampled in this study. The results showed that there are 6 shares of companies included in the group efficiently share and 1 share of companies included in the group of stocks is not efficient. Efficient stock group has a rate of return of individuals ( )is greater than the expected rate [E( )]. Investment decisions should be taken by investors are buying the shares. Group shares are not efficient to have people return rate ( )is smaller than the expected rate [E( )]. Investment decisions should be taken by investors is to sell these shares before the stock price fell. Keywords: Expected Return, Risk, Investment Decisions, Stock Inefficient.  ABSTRAK Investasi yang menyajikan saham efisien adalah investasi yang mempertimbangkan faktor-faktor yang dapat mempengaruhi return pada saham tersebut. Dengan metode CAPM, investor dapat mengukur kinerja saham dalam menentukan tingkat harapan pengembalian (expected return) dari suatu sekuritas dan meminimalisir risiko investasi. Penelitian ini menggunakan metode deskriptif dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah seluruh perusahaan sektor asuransi go-public yang terdaftar di Bursa Efek Indonesia pada periode 2012-2014. Teknik pengambilan sampel yang digunakan adalah metode purposive sampling. Berdasarkan kriteria yang telah ditentukan, diperoleh 7 saham perusahaan asuransi yang menjadi sampel dalam penelitian ini. Hasil penelitian menunjukkan bahwa terdapat 6 saham perusahaan yang termasuk dalam kelompok saham efisien dan 1 saham perusahaan termasuk dalam kelompok saham tidak efisien. Kelompok saham efisien memiliki tingkat pengembalian individu ( ) lebih besar daripada tingkat pengembalian yang diharapkan [E( )]. Keputusan investasi yang harus diambil investor adalah membeli saham tersebut. Kelompok saham tidak efisien memiliki tingkat pengembalian individu ( ) lebih kecil daripada tingkat pengembalian yang diharapkan [E( )].  Keputusan investasi yang harus diambil investor adalah menjual saham tersebut sebelum harga saham turun. Kata kunci: Expected Return, Risiko,Keputusan Investasi, Saham Tidak Efisien.
Pengenalan Pola Tulisan Tangan Suku Kata Aksara Sasak Menggunakan Metode Moment Invariant dan Support Vector Machine Riska Yulianti; I Gede Pasek Suta Wijaya; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 2 (2019): December 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1285.209 KB) | DOI: 10.29303/jcosine.v3i2.181

Abstract

The research of Javanese and Balinese ancient script have been done by some researches. However, the researches still have problems, such as image scaling, noise reduction and image transformation. This research implemented moment invariant and support vector machine to solve these problems especially on Sasak ancient script. The input data used in this research was 2700 handwritten Sasak ancient script. The testing was done to know the effect of thinning and the number of feature by using zoning on the classification performance. Accuracy is used as performance indicator. The highest average accuracy is 89.76%, on the second scenario, the average accuracy obtained is 92.52%.
Regresi Data Panel untuk Mengetahui Faktor-Faktor yang Mempengaruhi IPM di Kabupaten/Kota Provinsi DIY Epha Diana Supandi; Riska Yulianti; Akhmad Fauzy
Statistika Vol. 22 No. 2 (2022): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v22i2.1122

Abstract

The Human Development Index (HDI) is a regional or national welfare index based on three aspects, namely a long and healthy life, knowledge, and a decent standard of living. This study aims to determine the factors that affect the HDI of Regency/City in the Province of the Special Region of Yogyakarta (DIY) in 2016-2021. These factors include poverty rates, average length of schooling, gross regional domestic product, and health complaints. The analysis used is panel data regression. The influencing factors are the variable of poverty level, average length of schooling and gross regional domestic product.