Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Mahasiswa FEB Asia-Pacific Management and Business Application
Tomas Setya Wahyu Budi
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pengaruh Pengungkapan Corporate Social Responsibility Dan Kinerja Keuangan Perusahaan Terhadap Return Saham Perusahaan di Indeks LQ45 Bursa Efek Indonesia Periode 2008-2010 Tomas Setya Wahyu Budi; Atim Djazuli
Jurnal Ilmiah Mahasiswa FEB Vol 1, No 2: Semester Genap 2012/2013
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.594 KB)

Abstract

This research investigates the effect of corporate social responsibility disclosure and firm financial performance of stock return by analyzed the performance on the companies that have made the disclosure of corporate social responsibility and corporate performance reports disclose in its annual report. The research was conducted at the companies that listed in the LQ45 Index of Indonesia Stock Exchange. The data that was analyzed is an quantitative data in the form of time series in 2008-2010. Those quantitative data in the form was such as calculation of stock return, calculation of Corporate Social Responsibility Disclosure (CSRDi), as well as the firm’s financial performance (NPM, ROA, EPS, PER). Data analysis using descriptive analysis, multiple linear regression analysis, and statistical tests. There are findings in this study that the effect of the simultaneous of Corporate Social Responsibility disclosure as measured by the Index of Corporate Social Responsibility Disclosure and Firm Financial Performance is measured by the NPM, ROA, EPS and PER have a positive influence on stock returns of listed companies in the LQ45 index IDX. The following variables in partially test, Corporate Social Responsibility Disclosure, Return On Asetss (ROA), Earning Per Share (EPS) have a positive effect on stock prices of listed companies in the LQ45 index IDX. Keywords: Stock Return, Corporate Social Responsibility, Firms Financial Performance
Pengaruh Pengungkapan Corporate Social Responsibility Dan Kinerja Keuangan Perusahaan Terhadap Return Saham Perusahaan di Indeks LQ45 Bursa Efek Indonesia Periode 2008-2010 Budi, Tomas Setya Wahyu; Djazuli, Atim
Jurnal Ilmiah Mahasiswa FEB Vol. 1 No. 2
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research investigates the effect of corporate social responsibility disclosure and firm financial performance of stock return by analyzed the performance on the companies that have made the disclosure of corporate social responsibility and corporate performance reports disclose in its annual report. The research was conducted at the companies that listed in the LQ45 Index of Indonesia Stock Exchange. The data that was analyzed is an quantitative data in the form of time series in 2008-2010. Those quantitative data in the form was such as calculation of stock return, calculation of Corporate Social Responsibility Disclosure (CSRDi), as well as the firm’s financial performance (NPM, ROA, EPS, PER). Data analysis using descriptive analysis, multiple linear regression analysis, and statistical tests. There are findings in this study that the effect of the simultaneous of Corporate Social Responsibility disclosure as measured by the Index of Corporate Social Responsibility Disclosure and Firm Financial Performance is measured by the NPM, ROA, EPS and PER have a positive influence on stock returns of listed companies in the LQ45 index IDX. The following variables in partially test, Corporate Social Responsibility Disclosure, Return On Asetss (ROA), Earning Per Share (EPS) have a positive effect on stock prices of listed companies in the LQ45 index IDX. Keywords: Stock Return, Corporate Social Responsibility, Firms Financial Performance
Using Social Media Mining to Understand Public Opinion towards Destination Image Budi, Tomas Setya Wahyu; Wen, Shen Chien; Ratnawati, Kusuma
APMBA (Asia Pacific Management and Business Application) Vol. 5 No. 3 (2017)
Publisher : Department of Management, Faculty of Economics and Business, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.apmba.2017.005.03.3

Abstract

In the middle of highly competitive tourism market, development of successful destination image is paramount towards memorable experience for visitors. This study aims to support tourism stakeholders from the service providers and national tourism by analyzing, and extracting meaningful patterns from social media, e.g. Twitter, based on destination image information. This data plays an important role for destination marketers to distinguish their destination among others based on Twitter Statistics and key public opinion towards destination image attributes. London and New York were used as destination cities under the analysis of text mining with the concept linkage approach. Results shows five distinct keywords attributed to each city. Each keyword found to be relevant in representing the image of destination cities based on the public opinion on Twitter. For keyword “Culture and Cultural”, term "British” and "Black" represent London and New York the best, respectively. In keyword “Entertainment”, term "James Bond" and "Broadway" represent London and New York, respectively. In keyword “Festival”, term "Lumiere" and “Global Citizen Festival” are best in describing city of London and New York, respectively. In keyword “Food”, term "traditional British food" best describes London and "Food truck" best describes New York. The keyword “Shopping” exhibits term "Etsy" as the image of London and “Kate Spade" as the image for New York. This research reveals the value of social media analysis and the ability of text mining as an effective technique to extract opinions from vast amount of available social media data. Recommendations related to tourism strategic plan are made to facilitate possible future destination image studies.
Co-Authors Atim Djazuli Kusuma Ratnawati Shen Chien Wen, Shen Chien