cover
Contact Name
Ansari Saleh Ahmar
Contact Email
qems@ahmar.id
Phone
+6281258594207
Journal Mail Official
qems@ahmar.id
Editorial Address
Jalan Karaeng Bontomarannu No. 57 Kecamatan Galesong, Kabupaten Takalar Provinsi Sulawesi Selatan, Indonesia
Location
Unknown,
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INDONESIA
Quantitative Economics and Management Studies
ISSN : -     EISSN : 27226247     DOI : https://doi.org/10.35877/qems
Journal of Quantitative Economics and Management Studies (QEMS) is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of economics, management, business, finance, marketing, accounting. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the QEMS follows the open access policy that allows the published articles freely available online without any subscription.
Articles 19 Documents
Search results for , issue "Vol. 3 No. 6 (2022)" : 19 Documents clear
Analysis of The Effect Earnings Management, Financial Ratios, Governance On Bond Hartono; Krisdiana; Cuk Jaka Purwanggono; Samuel PD Anantadjaya; Teguh Setiawan Wibowo
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.438 KB) | DOI: 10.35877/454RI.qems1247

Abstract

The purpose of this study is to analyze the concentration on board profit factors, the proportion of liquidity, administrative ownership and review quality used to anticipate organizational security ratings. This study intends to provide experimental evidence that board income, monetary proportion and corporate administrative mechanisms affect security ratings. The subject of this exploration is an organization listed on the IDX and registered in Indonesia, PT. PEFINDO 2016-2019. Information check using strategic relapse investigation. The results showed that executive earnings, the proportion of liquidity, administrative ownership and review quality had an effect on bond ratings. While action proportion, market price proportion, institutional ownership and free head have no impact on security evaluation.
The Level of Employee Trust in The Boss in The Regional Secretariat of Cirebon City Claudia Desyosevin Ully Basa Pasaribu; Johnson Dongoran
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.778 KB) | DOI: 10.35877/454RI.qems1249

Abstract

This study aims to identify the type of employee trust in superiors and determine the tendency of the type of employee trust in superiors. The type of this research is qualitative research that used primary data, where the researcher conducts indirect interviews in the form of open questions to 18 respondents who are employees of the Cirebon City Regional Secretariat. The data were analyzed using qualitative descriptive analysis techniques. The results showed that the dimensions of integrity, competence, consistency, and openness were mostly knowledge-based trust. Meanwhile, the loyalty dimension is at the level of identification-based trust. While the type of employee trust in superiors tends to have confidence in the level of knowledge and level of identification.
Good Corporate Governance and Financial Performance: Moderating Effects of Company Size Della Gracia Yudistya Putri; Supramono
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.907 KB) | DOI: 10.35877/454RI.qems1251

Abstract

This study aims to determine the effect of components of good corporate governance, namely the size of a board of directors, independent board of commissioners, and audit committee size, on company performance as proxied by ROA with company size as moderating variable. A total of 65 samples were used. The data processing method used in this research is panel data regression analysis and Moderated Regression Analysis (MRA) using Eviews 10 software. The result showed the size of the board of directors and the independent board of commissioners do not affect ROA, and only the audit committee affects ROA. The result also showed company size does not moderate the relationship between the size of the board of directors and the size of the independent commissioners on ROA; company size can weaken the relationship between the size of the audit committee and ROA
Survival Strategies and Online Marketing in the Time of the COVID-19 Pandemic of Bandung City SME: A Case Study of the Cibaduyut Shoe Center Dindin Abdurohim; Andry Mochammad Ramdan
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (466.256 KB) | DOI: 10.35877/454RI.qems1259

Abstract

This study aims to describe and analyze survival strategies and online marketing strategies for small shoe businesses during the COVID-19 pandemic in Bandung. This study uses a qualitative method with a case study approach. Data were obtained by interviewing knitting business actors and related parties as key informants. The results showed that the COVID-19 pandemic had a negative impact on small shoe businesses in the shoe center of Bandung city. As a strategic step in the midst of a pandemic, business people use a survival strategy, by not increasing selling prices, but reducing profit targets, in the online marketing strategy of knitting small businesses using strategies: e-commerce, digital marketing, improving product and service quality, and customer relations. The implementation of this strategy is driven by an entrepreneurial spirit, flexibility, responsiveness to changes and technological developments, and the ability to collaborate with various stakeholders. This research shows that small businesses that implement survival strategies and online marketing are able to survive and improve business performance.
Factors Affecting Indonesian Agriculture Companie’s Disclosure of Biological Assets Sari Mujiani; Rianto Rianto; Eni Margiati
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.22 KB) | DOI: 10.35877/454RI.qems1265

Abstract

This study aims to test the effect of Biological Asset Intensity, Managerial Ownership, and Audit on Biological Asset Disclosure on agricultural sector companies listed on the Indonesia Stock Exchange (IDX) Year 2018-2021. Samples were taken using a purposive sampling method with certain criteria, during the study period. Based on the criteria that have been determined by the data using panel data, a total of 68 data were obtained. The analysis method used in this study was the regression analysis of panel data processed using Eviews 9. The results of this study show that (1) Biological Asset Intensity has a significant positive effect on the disclosure of biological assets. This is because the greater the value of biological assets, the higher the company provides more complete and detailed information to users of financial statements. (2) Managerial Ownership has a significant positive effect on the disclosure of biological assets. This is because managers who have a hand in the company's capital will carry out their duties according to applicable regulations and not only for their own interests but also for the sustainability of the company to remain sustainable in the future. (3) The audit has no negative effect on the disclosure of biological assets. This is because the role of kap is not determined by the characteristics of the Big Four or Non-Big Four levels because currently, the role of auditors is growing, many KAP who are not affiliated with the Big Four also revealed that detailed information according to the needs of users of financial statements and investors when choosing the company they will choose as a place to plant shares.
Tax System Modernization and Incentive Policies' Impact on Taxpayer Compliance in Motor Vehicle Tax E-Payment Patriandari Patriandari; Moh Abdurrosyid; Liestiani Dyahningrum
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.339 KB) | DOI: 10.35877/454RI.qems1269

Abstract

This study aims to determine the influence of modernization of the tax administration system and tax incentive policies on the compliance of motor vehicle taxpayers in Bekasi City. This research approach is a quantitative research using primary data through the distribution of questionnaires. The sampling technique of this study was purposive sampling with a total sample of 100 respondents. The data analysis technique of this study uses the Partial Least Square (PLS) technique with the help of the SmartPLS 3.0 program. The results showed that the modernization of the tax administration system and tax incentive policies had a positive effect on the compliance of motor vehicle taxpayers. This is because when the government imposes social isolation policies and outdoor activity restrictions amid a pandemic, the online system put in place may be a solution for taxpayers. This is because the motor vehicle tax bleaching program is very advantageous for vehicle taxpayers, particularly for taxpayers who have arrears or fines from late vehicle tax payments.
Analysis of Factors Affecting E-Loyalty With E-Trust and E-Satisfaction as Mediation Variables on Halodoc Application Users in Indonesia Andrew Chandra; Pauline Henriette Pattyranie Tan
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.76 KB) | DOI: 10.35877/454RI.qems1272

Abstract

This study aims to analyze: the influence of factors that affect e-loyalty with e-trust and e-satisfaction as mediating variables on Halodoc application users. Data collection was carried out using a questionnaire. The target population of the study is individuals aged > 17 years, who have done online teleconsultation at Halodoc at least 2 times and are willing to be respondents. Determination of the number of samples is determined by 280 samples. The sampling technique used was purposive sampling. The data was processed using Partial Least Square-Structural Equation modeling (PLS-SEM). The results show that the Technology Acceptance Model factors such as user interface quality, perceived security risk, and perceived privacy have a positive effect on e-trust and information quality, perceived security risk, perceived privacy, and e-commerce awareness have a positive effect on e-satisfaction, in This study found that information quality and e-commerce awareness do not have a positive effect on e-trust and user interface quality does not have a positive effect on e-satisfaction. Finally, e-trust has a positive effect on e-loyalty and e-satisfaction has a positive effect on e-loyalty for Halodoc application users in Indonesia. Managerial implications based on the results of data analysis, Halodoc must maintain the visual design of the application, display attractive information, the quality of the features contained in the application, update and provide up-to-date health information, maintain the security of patient's data and also providing 24-hour customer service, increasing awareness by increasing service promotions, providing public webinars or health talks, providing compensation to customers if there are problems regarding the services provided by Halodoc.
The Influence of Taste and Price on Consumer Satisfaction Ade Perdana Siregar; Nofirman Nofirman; Muhammad Yusuf; Imam Jayanto; Sri Rahayu
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.63 KB) | DOI: 10.35877/454RI.qems1276

Abstract

The purpose of this study was to analyze the influence of taste and price on consumer satisfaction at a western fast food restaurant. The research design used in this study used quantitative associative methods. Based on the results of data analysis that has been carried out on the first hypothesis (H1) which states that taste has a positive and significant effect on consumer satisfaction, the t-count value is 22,984 which is greater than the t-table value of 1.661, testing the second hypothesis (H2) which states that price has a positive and significant effect on consumer satisfaction, the t-count value is 23,908, which is greater than the t-table value of 1.661, which means that taste and price have a positive and significant effect on consumer satisfaction, while the R-square value obtained is 0.865 which states that the taste and price variables affect consumer satisfaction by 86.50% and the remaining 13.50% is influenced by other variables.
BUMI Stock Price Prediction Using Long Short Term Memory (LSTM) with Three Hyperparameter Tuning Regression Hartono Hartono
Quantitative Economics and Management Studies Vol. 3 No. 6 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (602.625 KB) | DOI: 10.35877/454RI.qems1118

Abstract

Shares is one of investment with moderate to high level of risk profile and return rate, and is a legal ownership proof of a company (Ltd). To obtain an optimum return with possible low risk, price of shares can be predicted or analyzed via fundamental or technical analysis. One of the most popular technical analysis is by employing computer algorithms as a device to help making decision. Long short term memory (LSTM), as a deep improvement of recurrent neural networks (RNN), is a commonly used method to predict shares price. BUMI, as one of shares in the energy sector, is the most concerned shares due to the geopolitical conflict in Europe. This research aims to predict BUMI shares price using LSTM by considering three parameters, i.e. number of hidden layers, epoch, and learning rate. Linear regression is used to obtained optimum values of each parameter whichs further combined to yield the best performance of the algorithm. Based on the analysis, the combination of minimum and optimum parameters results in the best performance by RMSE value.

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