cover
Contact Name
Dr. Imang DP, SE.,M.Si.,Ak.,CA.,CIBA.,ACPA
Contact Email
garuda@apji.org
Phone
-
Journal Mail Official
garuda@apji.org
Editorial Address
Jl. Imam Bonjol No.207, Pendrikan Kidul, Kec. Semarang Tengah, Kota Semarang, Jawa Tengah 50131, Semarang, Provinsi Jawa Tengah, 50130
Location
Kota semarang,
Jawa tengah
INDONESIA
International Journal of Accounting, Management, and Economics Research : Ijamer
ISSN : 29886392     EISSN : 29886406     DOI : 10.56696/
International Journal Of Accounting, Management, And Economics Research (IJAMER) ; an electronic international journal, provides a forum for publishing the original research articles, review articles from contributors, and the novel technology news related to management, accounting and economic. This journal is published 2 (two) a year, namely the Juny, and December editions.
Articles 42 Documents
Industrial Revolution Technology 4.0: The Concept Of Blockchain Accounting To Detect Corruption In Government Public Sector Finance Indira Nadya Ulya; Eva Rossiana Aulia Hidayah; Revilina Indah Sari
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.28

Abstract

The culture of corruption in the public sector of government is one of the cases that is still difficult to avoid until now. However, along with the development of industry 4.0, corruption cases can begin to be detected using current technology, one of which is blockchain technology. Blockchain technology can be combined with accounting so that it can detect corruption. This scientific work aims to provide a concept of blockchain performance in detecting corruption cases in the public sector of government. This research uses a literature review method of previous research which is then described using a qualitative approach. Blockchain public sector accounting is able to detect corruption because it uses a block recording system that is arranged with each other to form a chain and is permanent. If there is an invalid block, then there is data manipulation which can then be detected.
The Relations Of Regional Original Income And Balanced Funds On Financial Performance: Empirical Study Of Districts And Cities In Central Java 2019-2021 Yulita Setiawanta
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.29

Abstract

The purpose of this study was to determine the effect of (PAD) regional original income and balance funds on the financial performance of district and city governments in Central Java Province. The population used in this study are districts or cities throughout Central Java Province with a total of 36. The sampling method used is purposive sampling. This study uses secondary data in the form of a APBD realization report for the 2019-2021 fiscal year. The data analysis method used is multiple linear regression analysis. Based on the results of the research conducted, it can be seen that regional original income does not have a significant effect on financial performance, while balancing funds have a significant effect on the financial performance of district and city governments in Central Java Province.
Optimizing Banking Stock Price Prediction: Deep Learning Based Approach Dicky Setiawan; Tito Wira Eka Suryawijaya ; Muhammad Ikhsan Anugrah; Judea Pearl; Amalia Nur Chasanah
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.30

Abstract

Recently, the stock market has experienced significant instability, especially during the global pandemic which resulted in unprecedented economic impact. The main focus of this research is to develop an optimal prediction model using deep learning techniques for the projection of closing prices of bank stocks during the pandemic period. This study evaluates the performance of banking stocks, specifically ARTO, BRIS, BBNI, and BMRI in the Jakarta Composite Index (JCI). Data was extracted from Yahoo Finance and processed through LSTM and GRU algorithms, including data cleaning, normalisation, and descriptive statistical analysis. Scoring metrics such as MSE, RMSE, and MAPE are used to measure the effectiveness of the predictive models. The results show that the LSTM and GRU models can predict stock prices well. These findings provide a basis for trading strategies and improved decision-making in the stock market. Recent research confirms the importance of integrating deep learning methods such as LSTM and GRU in stock price prediction, helping to understand complex financial market fluctuations and improve prediction accuracy.
The Role Of Internal Financing Sources To Reduce Liquidity Risks: A Study Of A Sample Of Jordanian Islamic Banks Muneeb Khalaf Mhameed; Ahmed Fareed Naji; Ali Hamad Ali
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.32

Abstract

This study aims to analyze the impact of internal financing sources on liquidity risks in Jordanian Islamic banks during the period from 2008 to 2022, using regression analysis. The results show that increasing paid-in capital, reserves, and retained earnings reduces liquidity risk and enhances financial stability. It has been shown that Islamic banks are able to manage these resources effectively. The study recommends strengthening these sources and applying advanced risk management procedures that are compatible with Sharia controls.
Influence E-Commerce Regarding Consumer Behavior On The Shopee Application Vita Dhameria; Nunung Nurnilasari; Mahmud Mahmud; Nana Noviada Kwartawati
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.33

Abstract

The aim of this research is to examine the influence of e-commerce on student consumer behavior. A total of 150 respondents who had shopped at Shopee e-commerce participated in this research. This research instrument has passed validity and reliability tests through outer model measurements consisting of convergent validity, discriminant validity and composite reliability. The software used in these three stages is SEM - AMOS, this research is categorized as a cross-sectional study where data is collected only once in one time period. The sampling technique using purposive sampling is limited to certain types of people who can provide the desired information. The results of hypothesis testing concluded that e-commerce had a positive and insignificant influence on self-control. Lifestyle has a positive and significant influence on self-control. E-commerce, Lifestyle, Self control has a positive and significant influence on consumer behavior.
The Importance Of Knowledge, Investment And Motivation For Gen-Z Interested In Investing Winarsih Winarsih; Khoirul Fuad; Farah Aida Ahmad Nadzri
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.34

Abstract

This study aims to empirically prove investment knowledge, investment benefits and investment motivation on Gen-Z's investment interest in the capital market. This study is quantitative research. The population of this research is Gen-Z who are studying at universities in the city of Semarang. Primary data by distributing questionnaires to Gen-Z who are studying at universities in the city of Semarang, Indonesia using accidental sampling is the data source for this study. So there were 199 respondents obtained. Data processing using WarpPLS. The findings of this study show that investment knowledge, investment benefits, and investment motivation have an influence on the investment interest of Gen-Z who are studying at universities in the city of Semarang, Indonesia in the capital market. The implications of this study show that understanding and motivation is important for Gen-Z to invest in the capital market to gain additional income and investment experience.
Minimum Wage, Inflation, Interest Rate and Household Consumption In Indonesia Putri Valentine; Sabilayana Sabilayana; Andria Zulfa; Lia Nazliana Nasution; Dwita Sakuntala
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.35

Abstract

This study aims to determine the effect of minimum wages, inflation, and lending rates on household consumption in Indonesia. The variables in this study are minimum wage, inflation, and lending rates as independent variables, while the household consumption variable is the dependent variable. The research period is from 1993-2023. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The results of this study indicate that the province that is able to become a leading indicator for the stability of household consumption is North Sumatra. When viewed from the short run and long run, the Minimum Wage variable has an insignificant effect on Household Consumption in the short term but has a significant effect on Household Consumption in the long term. Inflation variable has a significant effect on Household Consumption in the short run, while in the long run Inflation variable has an insignificant effect on Household Consumption. The loan interest rate variable has no significant effect on household consumption in the short term or in the long term.
The Influence of Ease of use of Information Technology, Information Quality and Top Management Support on SME Performance Through End User Satisfaction: A Study on Semarang City SMEs Koerniawan, Iwan; Triatmanto, Boge; Zuhroh, Diana
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 1 (2024): June : International Journal Of Accounting, Management, And Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i1.37

Abstract

This research aims to analyze the influence of ease of use of information technology, information quality and top management support on SME performance through end user satisfaction in SMEs in the city of Semarang. The contribution of this research is as feedback for SME managers or owners in making decisions regarding the importance of digitizing accounting, in this case the accounting information system. This research is quantitative research with an explanatory research approach that is guided by a questionnaire that tests the relationship and influence between research variables. Data analysis was obtained using the SEM approach by analyzing 132 respondents who had used the accounting information system application for at least 1 year. The results reveal that ease of use of information technology, quality of information and top management support have a significant effect on SME performance through end user satisfaction  of accounting information.
The Impact of Knowledge Sharing and Integrity on Work Productivity Mediated by Organizational Commitment Variables Nur Ainun Nafilah; Supriyono Supriyono; Agus Prayitno; Kusni Ingsih
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 2 (2024): December : International Journal Of Accounting, Management, And Economics Rese
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i2.131

Abstract

The aim of this research is to develop a model of the relationship between knowledge sharing, integrity, organizational commitment and work productivity of Bank Contact Center employees. The research respondents consisted of 150 employees who worked in banking in the Contact Center section. Primary data was obtained by distributing questionnaires via Google Form. Data analysis uses the Structural Equation Model method with the SmartPLS application version 3.0. Three stages of testing were held: measurement model testing, structural model testing, and indirect effect testing. The research results show that knowledge sharing and integrity have a positive and significant effect on organizational commitment and work productivity. Organizational commitment partially mediates the effect of knowledge sharing and integration on work productivity.
Optimizing Portfolios Using Single Index Models and Mean-Variance From the Indonesia Stock Exchange: IDX30 Siti Fitriyyatul Jamilah; Dwi Eko Waluyo; Amron Amron
Jurnal Telekomunikasi dan Informatika Lbh. 2 Àir. 2 (2024): December : International Journal Of Accounting, Management, And Economics Rese
Publisher : Fakultas Ekonomi dan Bisnis Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/ijamer.v2i2.132

Abstract

The purpose of the study was to determine the optimal portfolio composition using the Single Index Model and Mean-variance Model methods, then the results of the two methods were compared. Data collection was carried out using secondary data from stocks that make up the IDX30 index for the 2013-2022 period. The research method is a comparative analysis of the returns and risks obtained from the Single Index Model portfolio then compared with the return and risk of the portfolio using the Mean-variance Model with 5 portfolio combinations. The comparison is carried out by comparing the coefficient of variance of each resulting portfolio composition. The comparison is carried out by comparing the coefficient of variance of each resulting portfolio composition. The analysis results show that the portfolio produced by the Mean-Variance Model has better returns and risks than the Single Index Model.