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All Journal JAM : Jurnal Aplikasi Manajemen Jurnal Ekonomi & Studi Pembangunan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Muara Ilmu Ekonomi dan Bisnis
Sunarya, I Wayan
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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PENERAPAN ASSET PRICING MODEL (CAPM) TERHADAP KEPUTUSAN INVESTASI PADA INDEKS LQ45 PERIODE 2017- 2019 Sunarya, I Wayan
Jurnal Muara Ilmu Ekonomi dan Bisnis Vol 4, No 1 (2020): Jurnal Muara Ilmu Ekonomi dan Bisnis
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmieb.v4i1.7529

Abstract

CAPM merupakan sebuah cara dalam memilih saham yang tepat sehingga penelitian ini dilakukan untuk membuat sebuah deksripsi dari saham dari LQ45 dari tahun 2017-2019. Pemilihan sampel dalam penelitian ini yaitu perusahaan Go Public yang digolongkan kedalam Indeks LQ45 yaitu sebuah kelompok perusahaan yang memiliki modal yang cukup besar dan paling liquid selama periode 2017-2019 yang berjumlah 45 perusahaan namun yang digunakan sebagai sampel hanya 33 perusahaan dengan menggunakan cara purposive sampling. Data saham yang diperoleh bersumber dari yahoo finance dan mengambil sumber pustaka untuk sitasi dari berbagai jurnal baik nasional maupun internasional. Penelitian ini dilakukan dengan memilih saham yang efisien yaitu suatu saham yang memiliki nilai (Ri) > [E(Ri)]. Penelitian ini menghasilkan bahwa antara beta maupun expected return terjadi hubungan yang berbanding terbalik, dimana jika nilai beta tinggi maka tingkat pengembalian saham (return) akan rendah, begitu sebaliknya. Dari jumlah 33 perusahaan yang masuk dalam penelitian ini, 24 perusahaan berada pada kondisi efisien dan sisanya 9 perusahaan dalam kondisi yang tidak efisien dari tahun 2017-2019. Adapun beberapa faktor yang menentukan pengelompokkan yaitu dengan membandingkan antara Ri dan E(Ri), jika Ri > E(Ri) maka saham tersebut akan dikelompokkan kedalam saham yang efisien namun sebaliknya jika Ri < E(Ri) maka saham tersebut akan dikelompokkan kedalam saham yang tidak efisien. Dan apabila hasil dari analisa E(Ri) menunjukkan bahwa saham tersebut efisien maka sebaiknya saham tersebut dibeli dan dijadikan portofolio investasi. CAPM is a way of choosing the right stock so this research was conducted to make a description of the shares of LQ45 from 2017-2019. The sample selection in this study is the Go Public company classified into the LQ45 Index, which is a group of companies that have a large enough capital and are the most liquid during the 2017-2019 period, amounting to 45 companies but only 33 companies are used as samples by using purposive sampling. The stock data obtained was sourced from Yahoo Finance and took library sources for citations from various national and international journals. This research was conducted by selecting an efficient stock that is a stock that has a value (Ri)> [E (Ri)]. This research results that between beta and expected return there is an inverse relationship, where if the beta value is high then the rate of return of shares will be low, and vice versa. Of the 33 companies included in this study, 24 companies were in an efficient condition and the remaining 9 companies were in an inefficient condition from 2017-2019. As for several factors that determine grouping, by comparing between Ri and E (Ri), if Ri> E (Ri) then the shares will be grouped into efficient shares, but conversely if Ri <E (Ri) then the shares will be grouped into shares that are not efficient. And if the results of the E (Ri) analysis show that the stock is efficient, then the stock should be bought and used as an investment portfolio.
THE INFLUENCE OF FINANCIAL PERFORMANCES ON INDONESIA’S STATE-OWNED BANKS TOWARDS SHARE RETURNS IN 2013-2016 Sunarya, I Wayan
Jurnal Ekonomi & Studi Pembangunan Vol 19, No 1: April 2018
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.19.1.3861

Abstract

The performance of financial statements shows the level of productivity in a company. Specific to banking sector, the performance of its financial statements can be analyzed from Economic Value Added (EVA) and Market Value Added (MVA). This study analyzes MVA and EVA are of state-owned banks consisting of Bank Tabungan Negara (BTN), Bank Negara Indonesia (BNI), Bank Mandiri and Bank Rakyat Indonesia (BRI). The results convey that Indonesia’s state-owned banks in giving share return to theirs shareholders are not influenced by Economic Value Added (EVA) and Market Value Added (MVA). There is an evidence that, EVA and MVA do not give any effect to share return because in the state owned bank in Indonesia, the investors have been very confident about the performance of banks in Indonesia so that without seeing the performance of the financial statements of investors have been very convinced from the fundamental point that the Indonesia state owned banks can bring benefits to investors 
Decision Making Model for Temple Revitalization in Bali Using Fuzzy-SMARTER Combination Method Erlina Putri, Ni Putu Mita; Sudipa, I Gede Iwan; Wiguna, I Komang Arya Ganda; Sarasvananda, Ida Bagus Gede; Sunarya, I Wayan
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13177

Abstract

Bali is dominated by Hindus and temples as places of worship. Revitalization is carried out periodically in order to preserve the temple. Many factors are taken into consideration in revitalization decisions so that they can be approved by a group or government. Through the decision-making model of temple revitalization in Bali, the entire complexity of decision-making factors can be integrated so as to produce an objective priority ranking of improvements as supporting data for a revitalization decision. The combination of fuzzy sets and the SMARTER (Simple Multi Attribute Rating Technique Exploiting Rank) method can help solve unstructured problems in determining temple revitalization decisions. The calculation between the Alternative sacred building and the complexity factor criteria with a final value of more than 0.5 is included as a revitalization priority suggestion.
Analisis Pembangunan Sumber Daya Manusia di Provinsi Bali Tahun 2011-2014 Sunarya, I Wayan
Jurnal Aplikasi Manajemen Vol. 14 No. 3 (2016)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (177.268 KB) | DOI: 10.18202/jam23026332.14.3.18

Abstract

This study aimed to analyze: (1) the effect of Life Expectancy at Birth (LEB) to Human Development Index (HDI) in Bali from 2011 to 2014; (2) the effect of Adult Literacy Rate (ALR) to Human Development Index (HDI) in Bali from 2011 to 2014; (3) the effect Mean Years of Schooling (MYS) to Human Development Index (HDI) in Bali from 2011 to 2014. Secondary data, from article entitled Bali In Figures, which is published once a year, namely from the year 2011-2014 by the Central Statistics Agency of Bali. This study implemented panel data with Fixed Effect Model (FEM) method of Generalized Least Square (GLS). The results showed that the Life Expectancy at Birth (LEB) and Mean Years of Schooling (MYS) has positive and significant effect to Human Development Index (HDI) in Bali from 2011 to 2014. However, Adult Literacy Rate (ALR) doesn't significantlyaffect the Human Development Index (HDI) in Bali from 2011 to 2014.
Sentiment Analysis of Roblox Game Reviews Using Support Vector Machine Method Dewi, Ni Kadek Feby Puspita; Sudipa, I Gede Iwan; Sunarya, I Wayan; Kusuma Dewi, Ni Wayan Jeri; Kusuma, Aniek Suryanti
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15272

Abstract

The development of digital technology has driven changes in entertainment consumption patterns, especially among the younger generation. Roblox has become one of the most popular online gaming platforms, with a wide range of user opinions recorded on Google Play Store. This study aims to classify the sentiment of Roblox user reviews (positive, negative, neutral) and evaluate the performance of the Support Vector Machine (SVM) algorithm with TF-IDF weighting and automatic labeling using Lexicon InSet. Data was obtained by crawling 10,000 reviews during the period of April 2–May 23, 2025, and after the preprocessing stage, 8,950 data remained for analysis. The classification results show that the sentiment distribution consists of 41.3% positive (3,703 reviews), 41.8% neutral (3,739 reviews), and 16.8% negative (1,507 reviews). Model evaluation using a confusion matrix produced high performance with 87.03% accuracy, 87.29% precision, 87.03% recall, and an F1-score of 86.67%. WordCloud visualization shows that positive reviews emphasize creativity and interactive features, while negative reviews are dominated by technical complaints such as lag and errors. These findings prove that the combination of SVM, TF-IDF, and Lexicon InSet is effective in sentiment analysis and provides valuable input for developers to improve application quality and user protection. Further research is recommended to adopt a hybrid approach based on deep learning and aspect-based sentiment analysis to generate more insights.
Co-Authors Aniek Suryanti Kusuma, Aniek Suryanti Dewi, Ni Kadek Feby Puspita Erlina Putri, Ni Putu Mita I Gede Iwan Sudipa Ida Bagus Gede Sarasvananda Kusuma Dewi, Ni Wayan Jeri Wiguna, I Komang Arya Ganda