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STRATEGY INCREASING FOREIGN INVESTMENT IN MEDAN CITY Nana Gustiana; Isfenti Sadalia; Sukaria Sinulingga
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 3 (2023): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i3.918

Abstract

Weak economic growth and low foreign investment coming into Medan City from 2018-2022 are the basis for selecting an effective strategy to be implemented in Medan City. This study aims to identify and analyze the factors and formulate an effective strategy for increasing foreign investment in the city of Medan. The method used in this study is the SWOT analysis method (Strength, Weakness, Opportunity, and Threats) and AHP (Analytical Hierarchy Process) analysis. The results of the research analysis show that there are several strategies for increasing foreign investment in Medan City, namely: First, increasing the upstream-downstream industry partnership integration scheme in Medan City (0.415). Second, the preparation of regional incentive facility policies through the establishment of regional regulations (0.321). Third, developing green investment (green investment) in the city of Medan (0.136). Fourth, increasing information technology-based innovation to support potential leading sectors (0.128).
EFFECT OF INTERNET BANKING AND MOBILE BANKING USAGE ON SHARE PRICES THROUGH INDONESIAN BANKING FINANCIAL PERFORMANCE REGISTERED ON THE INDONESIA STOCK EXCHANGE Angella Tiosanna; Isfenti Sadalia; Chairul Muluk
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 3 (2023): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i3.921

Abstract

The purpose of this study was to analyze the effect of the use of internet banking and mobile banking on stock prices through the financial performance of Indonesian banks. The population in this study are banking sector companies listed on the Indonesia Stock Exchange. The number of samples in this study was 7 with criteria determined by the researcher. The data analysis technique used is descriptive analysis and multiple linear regression analysis. The results of this study indicate that the internet banking variable has a positive and insignificant effect on stock prices, the mobile banking variable has a negative and significant effect on stock prices and the financial performance variable has a positive and insignificant effect on stock prices.
PROFIT PREDICTION USING MULTIPLE LINEAR REGRESSION METHODS PYTHON PROGRAMMING LANGUAGE AT PT TRI ERDNOV REZEKI Tri Pamungkas, Ferdy; Isfenti Sadalia; Iskandar Muda
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 5 (2023): October
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i5.1076

Abstract

PT. Tri Erdnov Rezeki is a national private company founded in 2016 and fully under the leadership and ownership of Indonesian entrepreneurs. PT. Tri Erdnov Rezeki is also engaged in Construction Development Planning and Repair and Maintenance of Steam Aircraft and Pressure Vessels, Supply of Technical Equipment, Industrial Work Equipment, Electrical Equipment, and Machinery, especially in the Palm Oil Plantation and Power Plant Sectors. In carrying out a project, the company does not only carry out technical design but also must carry out the economic design so that the company can determine the economic feasibility of a project. However, companies often experience cost calculation errors. Data science can be utilized to predict the value achieved in a period using previous data. Data science will analyze patterns related to data with other data to produce a reference or a formula that can be used as a value prediction in the future. So, the author will use the multiple linear regression method using the Python programming language, which functions to perform statistical analysis, namely predicting profits in a project. The analysis results in this study show that the profit variable is influenced by 99.7% by the variables material cost, labor cost, and utility cost. In comparison, other variables outside the study influence the other 0.3%. The material cost variable has the most significant influence, where the value is below 0 .05 compared to the variable labor cost and utility cost to the profit variable. The average percentage of Python prediction errors is 0.97%, where the average percentage of Python prediction errors is smaller than the average percentage of SPSS prediction errors which is 2.04%.
TECHNICAL ANALYSIS AS THE BASIS FOR DECISION MAKING IN STOCK INVESTMENT IN PT. BANK MESTIKA DHARMA.TBK IN THE INDONESIAN CAPITAL MARKET (DURING THE COVID PANDEMIC JANUARY 2020 - JUNE 2021) Tika Denisa Simanjuntak; Isfenti Sadalia; Nisrul Irawati
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 5 (2023): October
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i5.1085

Abstract

This study uses a quantitative approach to making stock investment decisions using the Moving Average Convergence Divergence indicator and the Stochastic Oscillator indicator by recording sell signals and buy signals and then testing the effectiveness of buy signals and sell signals from the two indicators. This research will be analyzed using the investing.com chart analysis platform. Based on research that has been conducted by researchers, it can be concluded that: 1. From graphic analysis at PT Bank Mestika Dharma Tbk, the Stochastic Oscillator indicator provides a total of 65 signals consisting of 35 buy signals and 30 sell signals while the MACD indicator provides 19 signals consisting of 10 bell signals and 9 sell signals from. 2. The Stochastic Oscillator indicator provides a better level of accuracy with an accuracy rate of 68%, while the MACD indicator has an accuracy rate of 58%. 3. The Stochastic Oscillator indicator has proven to be superior for analyzing stocks with a sideways trend, as experienced by PT Bank Mestika Dharma Tbk during the current economic crisis.
INFLUENCE OF FINANCIAL ATTITUDE AND FINANCIAL KNOWLEDGE ON FINANCIAL BEHAVIOR WITH LOCUS OFCONTROL AS AN INTERVENING VARIABLE Fran’s Gidion Sinuhaji; Isfenti Sadalia; Syahyunan
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 3 (2024): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i3.1624

Abstract

This study aims to determine the influence of Financial Attitude and Financial Knowledge on Financial behavior through Locus of Control as an intervening variable. This study is associative research and the type of data used is quantitative data. The Data used were obtained from primary data and secondary data. The method of analysis used is descriptive statistical analysis and structural equation modeling. Population and sample in this study amounted to 353 students of Methodist University of Indonesia with sampling technique used is purposive sampling. The results of this study showed that Financial Attitude has a positive and significant effect on Financial behavior in students of Methodist University Indonesia, Financial Attitude has a positive but insignificant effect on Locus of Control in students of Methodist University Indonesia, Financial Knowledge has a positive and significant effect on Financial behavior in students of Methodist University Indonesia, Financial Knowledge has a, Locus of Control has a positive and significant effect on Financial behavior in students of Methodist University of Indonesia, Locus of Cotrol is not able to mediate the relationship of Financial Attitude to Financial behavior but is able to mediate the influence of Financial Knowledge on Financial behavior.
BIONEENSIS BIOLOGICAL FERTILIZER DISTRIBUTION ANALYSIS IN THE SUMATERA ISLAND REGION Fahri Putra Hafira; Abdul Rauf; Isfenti Sadalia
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 5 (2024): October
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i5.1981

Abstract

The title of this study is "Analysis of Bioneensis Biofertilizer Distribution in the Sumatra Island Region". This type of research is a qualitative analytical research with a case study design. The number of informants in this study was 27 informants. The results of the research that has been conducted indicate that the distribution process of biofertilizers in the Sumatra Island Region has been carried out in accordance with the distribution procedures that have been set by the company which is done by increasing the number of Marketing Partners in each Province that are legally registered so that their legality is clear which will be used to facilitate or bring the distribution of Bioneensis biofertilizers closer to users. The problem concerning the smooth distribution process of Bioneensis biofertilizers in the Sumatra Island Region at the distributor is the limited transportation to distribute Bioneensis biofertilizers to resellers where limited transportation or transportation results in expensive shipping costs and also shipping times that take quite a long time, and there are also obstacles regarding errors in reporting verification results and validation as well as in the payment system that uses cashless. For the obstacles faced by resellers in the process of distributing Bioneensis biofertilizer to farmers in the Sumatra Island Region, it also lies in shipping where shipping costs from distributors are expensive, competition between resellers is increasing, and also in the shipping process where there are still many areas that are still difficult to access by couriers which will cause limited fertilizer stock among resellers to be distributed to farmers. Suggestions for further researchers It is suggested to further develop the research model, add discussion topics such as obstacles in carrying out distribution and also how to overcome them so that in the future research on the distribution of Bioneensis biofertilizer can be more varied and better.
ANALYSIS OF THE EFFECT OF GREEN BANKING FINANCING AND BANK HEALTH ON FINANCIAL PERFORMANCE THROUGH BANK SIZE AS A MODERATING VARIATION OF THE BANKING INDUSTRY IN INDONESIA Jepri Wandes Nababan; Isfenti Sadalia; Khaira Amalia Fachrudin
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 6 (2024): December
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i6.2343

Abstract

This study aims to analyze the effect of green banking financing and bank health on financial performance through bank size as a moderating variable in the banking industry in Indonesia. The type of research used is quantitative research. The data analysis technique used is descriptive statistical method and panel data regression analysis (Eviews). The sample in this study was conducted on banking companies listed on the Indonesia Stock Exchange by implementing the Green Banking financing concept in Indonesia for 5 periods, namely 2019 - 2023. The results of this study indicate that the implementation of green banking, capital adequacy ratio, non-performing loans, operating expenses to operating income (BOPO), loan to deposit ratio and total assets have a significant effect on return on assets. Green banking practice has a positive effect on bank financial performance. Non-performing loans have a negative effect on return on assets. Operating expenses to operating income (BOPO) have a negative effect on return on assets. Liquidity (LDR) has a positive effect on return on assets. Cost efficiency ratio has a negative effect on bank financial performance. Bank size can moderate green banking on return on assets. Company size can moderate CAR. Company size cannot moderate NPL. Company size cannot moderate the operational efficiency ratio (BOPO).
EARNED VALUE ANALYSIS METHOD AS A COST AND TIME PERFORMANCE ANALYSIS (Case Study LAU SIMEME DAM Construction Project KSO Between PT. Wijaya Karya Persero.Tbk and PT. Bumi Karsa) Denny Irawan; Isfenti Sadalia; Iskandar Muda
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 3 No. 2 (2023): March
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v3i2.769

Abstract

Project construction is a series of activities that must be completed in accordance with a project contract and also at a pre-agreed cost. The important point for project completion is the accuracy in accordance with the estimate, the use of costs according to the budget while maintaining quality. However, project implementation often encountered obstacles so that the completion time stalled. The impact of late completion of this project is not only in terms of time, but has an impact on the use of costs which ultimately erodes the profit margin of a project. This is what is being faced in the Lau Simeme Dam Development Project which is an Operational Cooperation (KSO) between PT Wijaya Karya (Persero) and PT Bumi Karsa. This project costs Rp. 733 billion which began on December 22, 2017 and is estimated to be completed on April 7, 2022. The research data was taken as of December 2020, where according to the plan the project should have been completed 52.90%, but in fact it was only 13.92% completed. Based on this phenomenon, researchers conducted a research in order to solve the problem of delays and budget waste using the Earned Value Analysis approach. The results showed that there was a delay in project construction resulting in a setback in project completion with an estimated addition ( Estimated Completion Date) of 1,294 days. Due to the delay in project completion, there was an additional cost of 1.760 billion or in other words, the project cost was Rp. 665 billion while the RAB is only 663 billion. This cut the previously planned margin of 70.051 billion to 68.290 billion. In order to overcome delays in project completion, it can be done by holding work shifts,
ANALYSIS OF THE FINANCIAL HEALTH OF RURAL CREDIT BANKS BEFORE AND DURING THE COVID-19 PANDEMIC (Case Study of the Implementation of Financial Risk Management at Bank Perkreditan Rakyat Nusantara Bona Pasogit 20) Jona Sitepu; Nisrul Irawati; Isfenti Sadalia
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 3 No. 3 (2023): May
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v3i3.804

Abstract

The Covid-19 pandemic has impacted the business industry, especially the banking sector. This study aims to analyze the financial health of Rural Banks before and during the Covid-19 pandemic. Another objective of this research is to describe the implementation of risk management during the COVID-19 pandemic. The object of this research is the Bank Perkreditan Rakyat Nusantara Bona Pasogit 20 (BPR NBP 20). This research method is quantitative by comparing the financial health proxied by non-performing loans, return on assets, operating expenses to operating income, cash ratio and loan to deposit ratio. Qualitative research methods describe the implementation of risk management during the Covid-19 pandemic. The results showed that there were statistical differences in financial performance statistics before and during the Covid-19 pandemic period for financial performance as measured by non-performing loans, return on assets, cash ratio and loan to deposit ratio, and there were no statistical differences for financial performance as measured by operating expenses to operating income. The results of research on the implementation of risk management in the first semester of the Covid-19 pandemic period were in adequate condition, and BPR NBP 20 regularly reported the results of risk assessments to the Financial Services Authority (OJK).
COMPARISON ANALYSIS OF OPTIMAL PORTFOLIO PERFORMANCE ESTABLISHED FROM LQ45 INDEX STOCK WITH MANDIRI MUTUAL MUTUAL FUNDS PORTFOLIO INVESTA EQUITY ASEAN 5 PLUS Ahmad Fuady Hasibuan; Isfenti Sadalia; Khaira Amalia Fachrudin
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 3 No. 2 (2023): March
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v3i2.1050

Abstract

The increase in the number of investors becomes a huge potential to increase the capacity of the capital market. Among the instruments of investment in the stock market, shares are the most frequently traded. The participation of local investors in investing in the capital market cannot be separated from the expectations of profit or return that can be obtained as well as the risks attached to investment instruments. Risks in stock investments can be minimized by reducing them to a minimal point through the process of diversifying stocks by forming a portfolio. This type of research is descriptive research with a quantitative approach. The stock candidate population used in the formation of the Optimal Portfolio is all of the shares classified into the LQ45 Index. While the sample of stock candidates included in the portfolio formation is 41 stocks with purposive sampling technique. The type of data used is secondary data with data collection techniques documentation. In forming the portfolio used the single index model and constant correlation model. While to measure the performance portfolio used measurement scales Sharpe Index, Treynor Index and Jensen Alpha. Based on the performance measures of the Sharpe Index, Treynor Index and Jensen Alpha, the portfolio formed from LQ45 shares using a single index model has lower performance than the portfolio performance formed from LQ45 stock by using a constant correlation model. Based on the Treynor Index performance measure, the portfolio formed from LQ45 stock using a single index model has higher performance than the Mandiri Investa Equity Asean 5 Plus portfolio.