Article Per Year (5 Year)
p-Index From 2021 - 2026
0.882
P-Index
This Author published in this journals
All Journal PROSIDING SEMINAR NASIONAL CENDEKIAWAN Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat Nusantara Media Ekonomi Neraca Manajemen, Akuntansi, dan Ekonomi
Tri Kunawangsih P
Universitas Trisakti
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Media Ekonomi

 1 
ANALISIS STRUKTUR, KONSENTRASI, DAN EFISIENSI PASAR INDUSTRI TELEKOMUNIKASI DI INDONESIA Zulfikar Adi Satria; Tri Kunawangsih P
Media Ekonomi Vol. 24 No. 2 (2016): Oktober
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.139 KB) | DOI: 10.25105/me.v24i2.3798

Abstract

The purpose of this study was to determine how the structure, market concentration and efficiency of the telecommunication industry in Indonesia. The analysis technique used in this research is Concentration Ratio (CR4) and Data Envelopment Analysis (DEA). Total revenue of the Indonesia telecommunication industry from 2010-2015 were used to calculate Concentration Ratio (CR4) and Data Envelopment Analysis (DEA) are input and output, the input consists of total assets, debt and equity, the output consists of total revenue and gross profits. Based on the analysis results of Concentration Ratio (CR4) is quite of very high ranging from 98,17% - 99,67%, the market structure in property industry classified within a very high concentrated oligopoly. Results from Data Envelopment Analysis (DEA) in 2010-2015 there were 1 efficient company. As a result of an oligopoly market structure is very tight, then in the telecommunications industry is a lot to make improvements to network sharing and speed the delivery of messages, telephone, and internet as well as to achieve efficient company should refer to the telecommunications industry, which reached the maximum efficient level. In order to achieve an efficient level that has not been efficient, the company must conduct debt reduction, labor usage more efficient and increase product sales.
RASIO KEUANGAN DAN PENGARUHNYA TERHADAP PERGERAKAN HARGA SAHAM SEKTOR PROPERTI YANG LISTING DI BURSA EFEK INDONESIA Tri Kunawangsih Purnamaningrum
Media Ekonomi Vol. 26 No. 2 (2018): Oktober
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.956 KB) | DOI: 10.25105/me.v26i2.5217

Abstract

The research is analyzing the effect current ratio, Return on Equity, dividend per share, towards the property stock price in Indonesia Stock Market. The research methodology used is quantitave deskriptif. The data used in this research was quarterly data during period 2011-2016. The estimation method is based on pooled OLS regression with fixed effects and random effects models.   Historical data was taken Indonesian Stock Market, Statictic Center Beaurau, Bank of Indonesia report and Indonesia Capital Market Directory. The results of the study showed current ratio and dividen per share has positiv significant influence toward property stock price. While Return on Equity has negative significant toward property stock price.
ANALISIS TEKNOLOGI FINANSIAL SAAT PANDEMI COVID-19 TERHADAP KINERJA PERBANKAN DI INDONESIA Antyo Pracoyo; Tri Kunawangsih Purnamaningrum
Media Ekonomi Vol. 31 No. 1 (2023): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/me.v31i1.18232

Abstract

The purpose of this study is to analyze the performance of banks listed on the Indonesia Stock Exchange utilizing various technology platforms during the pandemic COVID-19. The independent variables used in both research models consist of ITF, LDR, and NPL. This study uses two models, in the first model the dependent variable is ROA, while in the second model, BOPO is the dependent variable. In order to fulfill the objectives of this study, the sample used was 40 conventional banks which during the observation period were listed on the Indonesia Stock Exchange. In this study used quarterly data throughout 2020, consisting of quarters 1, 2, 3, and 4. Based on the initial data presented when processed, they were forced to discard some of the available data for both the first and second models. The mechanism for deleting processed data is because the data is included in the outlier category. For data categorized as outliers, a data reduction mechanism is carried out
ANALISIS TEKNOLOGI FINANSIAL SAAT PANDEMI COVID-19 TERHADAP KINERJA PERBANKAN DI INDONESIA Tri Kunawangsih Purnamaningrum; Antyo Pracoyo
Media Ekonomi Vol. 31 No. 1 (2023): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/me.v31i1.18232

Abstract

The purpose of this study is to analyze the performance of banks listed on the Indonesia Stock Exchange utilizing various technology platforms during the pandemic COVID-19. The independent variables used in both research models consist of ITF, LDR, and NPL. This study uses two models, in the first model the dependent variable is ROA, while in the second model, BOPO is the dependent variable. In order to fulfill the objectives of this study, the sample used was 40 conventional banks which during the observation period were listed on the Indonesia Stock Exchange. In this study used quarterly data throughout 2020, consisting of quarters 1, 2, 3, and 4. Based on the initial data presented when processed, they were forced to discard some of the available data for both the first and second models. The mechanism for deleting processed data is because the data is included in the outlier category. For data categorized as outliers, a data reduction mechanism is carried out
Co-Authors Ali Gesang Widodo Antyo Pracoyo Christina Dwi Astuti Deden Misbahudin Muayyad Henny Setyo Lestari Maria Ariesta Utha Masfar Gazali Nirdukita Ratnawati Sandra Kurniawati Scan Yani Soeharjoto, Soeharjoto Zilal Hamzah Zulfikar Adi Satria