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EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis
Published by Universitas Dehasen Bengkulu
ISSN : 23388412     EISSN : 27164411     DOI : https://doi.org/10.37676/ekombis.v8i1.926
Core Subject : Economy, Science, Education,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Other
Ekombis Review: Jurnal Ilmiah Ekonomi dan Bisnis is a peer-reviewed journal. Ekombis invites academics and researchers who do original research in the fields of economics, management, and accounting.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 60 Documents
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Search results for , issue "Vol 12 No 2 (2024): April" : 60 Documents clear
Deciding the Best Location for RM Bunut Sari to Open A New Branch in Greater Bandung Ichsan Ramadhan Prawira; Utomo Sarjono Putro
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5455

Abstract

This research aims to support the Sundanese restaurant RM Bunut Sari in determining the optimal location for opening a new branch in the Greater Bandung area of West Java. Environmental analysis is conducted by assessing the internal capabilities of RM Bunut Sari and examining external market conditions in Bandung City, Bandung Regency, and West Bandung Regency. Analytical Hierarchy Process (AHP) modeling is then utilized to evaluate which alternative location offers the greatest strategic advantages. Based on comparisons across decision criteria such as parking facilities, building size, visibility, distance from competitors, and property prices, Bandung Regency emerges as the recommended location. An implementation plan details the necessary launch activities spanning site selection, renovation, licensing and permissions, staffing, promotions, and eventual restaurant opening. The recommendations highlight leveraging RM Bunut Sari’s existing strengths in taste quality and service experience while closely monitoring operational and marketing outcomes from the new branch. Thus the analytical approach delivers an optimized location choice for RM Bunut Sari’s expansion, guided by environmental analysis and multi-criteria decision making.
Customer Relationship Management As A Proposed Marketing Strategy: A Case Study Of Seafood Company In Bogor Gracia Ulina Christanti Bawono; Atik Aprianingsih
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5456

Abstract

Indonesia’s fisheries and marine industry is a valuable sector and one that needs to be continuously developed. About 62% of Indonesia's territory is sea which has a very large potential wealth of marine resources, especially in the fisheries and marine products industry sector. The study narrows its scope to investigate the decline in sales at one seafood company based in Bogor, specifically within the business market segment. Employing qualitative methodology, the research analyses the personal selling process, identifying a potential link between declining salesperson performance and challenges in managing client relationships. Data from interviews and observations with clients, salespersons, and competitors form the basis for internal and external analyses, culminating in a SWOT analysis. The study reveals that while clients perceive personal selling positively, relationship management poses challenges. Additionally, technological opportunities from online systems are identified through PESTLE analysis. The research recommends a strategic shift towards utilizing online and integrated business operation systems, particularly in customer relationship management, to enhance salespersons' performance and address relationship management issues. The proposed strategy aims to optimize personal selling effectiveness.
Non Performing Financing (Npf) In Islamic Banking In Indonesia Zulfahmi Syahputra Nasution; Nurul Atika Fitri Nasution
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5457

Abstract

Data on non-performing financing (NPF) or non-performing funding is known to vary, and the six Islamic banks surveyed were declared healthy in the funding category. The purpose of this study is to determine the NPF situation in Islamic banking in Indonesia from 2010 to 2016. This study uses secondary data in the form of financial statements of each Islamic Bank which are tested based on overall NPF performance. An increase in NPF funding, among others, will change the level of ROA. The highest NPF data is 3.78% and the lowest is 2.18%.
The Influence Of Financial Literacy, Lifestyle, Use Of M-Banking With A Utaut2 Approach On Financial Behavior Elsa Mayangsari; Heni Safitri; Dedi Hariyanto
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5470

Abstract

This research aims to determine whether there is a connection between M-Banking usage, lifestyle factors, and financial literacy. With a positive data collection strategy and a sample size of 150 participants, this research applies an associative methodology. Participants must be Singkawang City residents, aged 17–50, and M-Banking app users in order to be considered for the study. Statistical methods are employed in the analysis, including the following: multiple linear regression, correlation and determination coefficient, simultaneous testing (F test), and partial testing (t test). The data is linear, has a normal distribution, and does not show signs of multicollinearity; these findings are confirmed by the standard assumption test. The variables are strongly associated with one another, as shown by the correlation value of 0.523. According to the coefficient of determination (R2), the variables that were included in this research accounted for 28% of the variance in financial behavior, while other unexplained factors influenced the remaining 72%. Preliminary research shows that financial literacy and M-Banking use significantly affect financial behavior for the better. In contrast, lifestyle has a positive effect but is not statistically significant in influencing financial behavior.
The Influence of Net Profit Margin, Return on Asset, Current Ratio, Price Earning Ratio, Solvency Ratio on Market Price Ivena Mashoeda
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5475

Abstract

This study aims to analyze the influence of Profit Margin, Return on Assets, Current Ratio, Solvency Ratio on Market Price. Information about company share prices is related to these 5 variables. The data used in this research is the Consumer Good Industry Company (CGIC) which has complete data related to these variables so that the sample obtained is 13 companies in 2019-2022. The data analysis technique used in this research is the selection of a panel data regression model with the Chow test, Hausman test, large range multiplier (LM) test, and parameter significance test. The test results can be concluded that Net Profit Margin (NPM) has a significant effect on Market Price (MP) while Return on Assets (ROA), Current Ratio (CR), Price Earning Ratio (PER), Solvency Ratio (SR) do not have a significant effect on Market Price (MP).
Comparative Analysis Of Machine Learning And Deep Learning Models Integrated With Altman Z-Score For Financial Distress Prediction In Companies Listed On The Indonesia Stock Exchange (IDX) Fadly Muhammad Irvan; Raden Supriyanto
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5478

Abstract

Financial distress is a condition in which a company experiences a decline in its financial situation, which is typically temporary. However, financial distress can worsen if not promptly addressed, leading to bankruptcy. Early identification of potential financial distress in a company is crucial for stakeholders such as investors, creditors, and regulators. In practice, predicting financial distress in a company is not an easy task. One of the methods commonly used to identify early symptoms of financial distress is the method introduced by Altman in 1986. Altman's research model, known as the Z-Score, determines a value based on standard calculations of financial ratios to indicate the likelihood of a company experiencing bankruptcy. The use of artificial intelligence, such as deep learning, can enhance the scope of research on the analysis and prediction of financial distress. This study aims to conduct a comparative analysis of machine learning models, such as the K-Nearest Neighbor Classifier and Random Forest Classifier, and deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). This analysis is carried out to evaluate the success rate of the proposed deep learning models in predicting financial distress in companies operating in Indonesia. Based on the conducted research, the K-Nearest Neighbor Classifier algorithm achieved an accuracy of 77.42% during testing and 88.89% during validation, the Random Forest Classifier algorithm achieved an accuracy of 87.09% during testing and 95.24% during validation, the CNN model achieved an accuracy of 95.16% during testing and 96.83% during validation, and the RNN model achieved an accuracy of 93.55% during testing and 96.83% during validation. Based on these results, the deep learning method has a higher average success rate than machine learning models in predicting financial distress.
The Impact Of Fundamentals And Technical Analysis On Stock Returns In Banking Companies Listed For Indonesia Stock Exchange 2013-2022 Muhammad Rizki Alwi Ardana; Wisnu Panggah Setiyono; Sriyono Sriyono
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5505

Abstract

This study aims to provide understanding, knowledge, and testing of the Effect of Fundamental Factors Analysis and Technical Analysis on Stock Returns of Banking Companies listed on the Indonesia Stock Exchange for 2013-2022. The sampling technique used purposive sampling using the documentation model and data collection totaling 7 banking companies listed on the Stock Exchange and 70 total samples of banking companies in the 10-year time frame. The data analysis technique used in the data processing software is Eviews 12, using a linear regression model. The results of this study from the tests that have been carried out show that fundamental components such as price to sales ratio do not affect Stock Returns, Earnings per Share has an effect on Stock Returns, Cash Flow From Operation affects Stock Returns and technical components such as Trading Volume affects Stock Returns, and Market Capitalization does not affect Stock Returns.
Accounting Information System In The Decision-Making Of Fixed Asset Investments At PT. Sawit Jujuhan Abadi (Asian Agri Group) Edy Prabowo; Eka Siskawati; Nurul Fauzi
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5507

Abstract

This research delves into the pivotal role of Accounting Information Systems (AIS) in the decision-making process concerning fixed asset investments at PT. Sawit Jujuhan Abadi, a subsidiary of the esteemed Asian Agri Group. The study aims to scrutinize the existing practices of AIS within the company and assess the managerial readiness to adopt the E-Capex Accounting Information System model. This model is specifically designed to facilitate effective decision-making in the realm of fixed asset investments. Through an in-depth analysis, the research endeavors to provide valuable insights into the utilization of AIS, shedding light on its impact on decision-making processes related to fixed asset investments. The study anticipates contributing practical knowledge to the management of PT. Sawit Jujuhan Abadi, empowering them to make more informed and strategic decisions. Furthermore, the research seeks to enhance the broader understanding of AIS applications in the dynamic context of fixed asset investments within the Asian Agri Group.
Stock Price Synchronicity And Institutional Ownership: The Role Of Sustainability Reporting, Political Connection, And Leverage Muhamad Haidar Feryan; Muhammad Nuryatno Amin
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5514

Abstract

This research study is aimed to evaluate how institutional ownership affects the degree of correlation among stock prices, as well as the influence of sustainability reporting, political connections, and leverage. The study takes sample data from companies that were on the LQ45 index at the end of the year, or December 31, for the years 2019–2022 using purposive sampling method. Hypothesis testing uses a multiple linear regression analysis model in the form of a moderated regression analysis (MRA) to test moderator variables. The findings indicated that leverage has negative effect on stock price synchronicity, while neither sustainability reporting nor political connections influenced stock price synchronicity. Institutional ownership as a moderating variable is able to strengthen the negative influence of leverage on stock price synchronicity, On the other hand, the presence of institutional ownership does not have an ability to impact the correlation between sustainability reporting and political relationships on stock price synchronicity
Characteristics Of Youth Unemployment: Before And During The Covid-19 Pandemic In Indonesia Cindy Aprilia; Yulia Anas
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 2 (2024): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i2.5521

Abstract

This research aims to investigate the characteristics of young unemployment before and during the covid-19 pandemic in Indonesia, as well as to identify changes in the characteristics of young unemployment during this period. Young unemployment refers to individuals within the labor force, actively seeking employment, aged between 15 and 24 years, and not attending school. The study utilizes raw data from the Indonesian National Labor Force Survey (SAKERNAS) for the periods of August 2019 and 2020. To achieve these objectives, a binary logistic regression analysis with interaction effects is employed. The research findings indicate that young individuals within the labor force who are characterized as female, unmarried, have attained a minimum level of high school education, have not participated in any training, and possess work experience are more likely to experience unemployment before and during the covid-19 pandemic. Moreover, the occurrence of the covid-19 pandemic in 2020 has indeed had a significant impact on youth unemployment in Indonesia. The changes in the characteristics of youth unemployment during the pandemic are observed among young individuals within the labor force who are unmarried, have work experience, and reside in rural areas.

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