Large Profits Research Articles

Penerapan Metode Recurrent Neural Network dengan Pendekatan Long Short-Term Memory (LSTM) Untuk Prediksi Harga Saham

Investing in shares is now increasingly popular and growing rapidly in Indonesia. By investing in shares, investors will get quite fast and large profits in a fairly short time. Investors need to analyze previous stock movements as a form of investment strategy to get maximum investment results. Many techniques have been applied to predict stock prices, one of which uses techniques in Deep Learning such as Recurrent Neural Network. In this research, research was conducted on stock price predictions using the Recurrent Neural Network method with the Long-Short Term Memory (LSTM) approach on BBNI stock data. The research only uses close data or data about daily closing stock prices. In designing LSTM there are several things that are configured such as dropout size, density, activation function, and number of neurons used, and in the training process one of the optimizers provided by the Keras framework is used, namely the ADAM (Adaptive Moment Estimation) optimizer. The test scenario is carried out using a number of epochs of 10 and 20 with a batch size of 32. The test results will produce MAE and MAPE values, where the lower the MAE and MAPE values, the better the model's performance in making accurate predictions. The test results using epoch 10 got an MAE value of 0.0286 and a MAPE value of 0.0488, while the test results using epoch 20 got an MAE value of 0.0150 and a MAPE value of 0.0257.

Pengaruh Pasar Industri Pada Dampak Oligopoli Terhadap Globalisasi

Business actors carry out economic activities for profit. Globalization makes many changes in the times, especially in the industrial economy in Indonesia.Digital economy or disruptive innovation raises business competition problems so as not to cause large losses to consumers and other business actors on a large economic scale creating high barriers to market entry due to the positive economy. This research uses qualitative descriptive, descriptive analysis to see the phenomenon of existing events and qualitative research methods based on philosophy as an instrument, Data collection techniques and qualitative analysis emphasize meaning. Oligopoly markets whose structure consists of two or three or even more control the market 70 to 80 percent of all production or selling value around it and emphasize the price determined. The development of the era of business actors utilizing technology is certainly due to globalization which affects industrial markets in each country to abroad. Oligopoly is very influential in industrial markets because of pressure on prices and new ideas from competitors and supported by digital technology hence industrial market activities to retain consumers. In addition to the effect, business actors get large profits due to increasingly sophisticated information technology. The influence of globalization can encourage large companies to innovate their businesses and be able to integrate in the global market.

Firm Structural Attributes and Capital Structure Adjustments among Listed Manufacturing Firms in Nigeria using Static and Dynamic Approaches

The study examined the effect of firm structural attributes on capital structure adjustments of Nigerian listed manufacturing companies. Out of the 56 listed firms 35 listed manufacturing firms were selected using the purposive sampling approach. Dynamic and static estimation techniques were applied. The results from both static and dynamic panel data revealed that assets tangibility had a positive and significant effect on capital structure adjustments with (t= 4.463; t = 2.965; p <0.05). Non-debt tax shields (t= -2.831; t= -4.478; p <0.05) had negative but significant effect on capital structure adjustments. Furthermore, static result showed that firm size (t= -5.617; p <0.05) had negative but significant while dynamic results revealed firm size (t=6.956; P<0.05) had a positive and significant effect on capital structure adjustments. This study concluded that structural attributes serve as firm-level determinants to understanding of factors influencing the capital structure and speed of adjustments of listed companies in Nigeria. It was recommended that management of firms need to expand in size and investing in tangible assets to enhance their profit level, this will enable them to enjoy large profit levels with a large reduction in debt ratio.

Implementasi Fatwa DSN MUI Terhadap Pembiayaan Sindikasi Melalui Akad Musyarakah Pada BPRS HIK Cibitung

The Syndicated financing is one of the strategies that can be carried out by Islamic banking, especially Islamic people's financing banks to get a relatively safe boost of Islamic banking industry assets. With the implementation of syndication, Islamic banking can enter the corporate sector and government infrastructure projects. BPRS has the potential to earn large profits, but can also mitigate relatively large risks.This study aims to find out how the implementation of syndicated musharaka financing at BPRS HIK Cibitung and analysis of syndication financing conformity with the DSN fatwa Number 91/DSN-MUI/IV/2014.This research is a qualitative research. Sources of data in the form of primary data, and secondary data. Primary data was obtained by conducting interviews with the BPRS HIK Cibitung. Literature studies were obtained from books, journals, official websites and documents related to syndicated financing. The data analysis technique was carried out in three steps, namely data reduction, data presentation, and drawing conclusion. The results of this study indicate that the syndicated financing at BPRS HIK Cibitung is in accordance with the fatwa dsn-mui number 91 of 2014. However, there are several points in the fatwa dsn-mui that have never been used by BPRS HIK Cibitung.

Analisis Rasio Keuangan Dalam Menilai Kinerja Keuangan Pada Industri Kosmetik Terdaftar BEI Periode 2022

The development of the beauty industry increases every year. Even during the Covid-19 pandemic, this industry remained stable in facing the crisis. This condition certainly makes many investors look to invest their capital in this industry. The beauty industry listed on the Indonesian Stock Exchange (BEI) is PT. Mustika Ratu Tbk, PT. Martina Berto Tbk and PT. Unilever Indonesia Tbk. In order to help investors assess company performance, it is necessary to carry out financial ratio analysis. Financial ratio analysis in this study is liquidity analysis, asset management analysis, debt management analysis, profitability analysis and market value analysis. This study is qualitative in nature with data analysis using financial ratio analysis. The results of this study provide the conclusion that if the analysis of the cosmetics industry in 2022 uses industry averages according to Brigham Houston, there are several components that are above standard, such as profit margin and ROA owned by PT. Mustika Ratu Tbk and PT. Unilever Indonesia Tbk above standard. PT fixed asset turnover. Muatika Ratu Tbk which is above standard. If analyzed through comparisons between companies that are still in the same industry, the company PT. Unilever Indonesia Tbk has performed quite well in generating company profitability. Proven by the fairly large profit margin and ROA ratio.
 Keywords: Liquidity, Asset management, Debt management, Profitability, Market value

Financial Risk Prediction Model in the Context of Big Data - Corporate Financial Risk Control Based on LSTM Deep Neural Networks

Abstract This paper is based on the use of recurrent neural networks and LSTM deep neural networks to obtain the financial risk prediction feature sequence in the context of big data. The financial risk prediction feature sequence is used as the input value of the input gate of the LSTM deep neural network model after data filtering, normalization and loss function optimization, and then the financial risk prediction for the output gate of the LSTM deep neural network model. Considering the availability of data, small and medium-sized enterprises listed in A-share companies in the Wind database are selected as sample enterprises, and evaluation indexes are constructed and detected at the same time so as to complete the experimental design of enterprise financial risk prediction in the context of big data. The prediction of enterprise financial risk is empirically analyzed using simulation analysis and statistical analysis. The results show that in the model performance analysis, the average value of ten years of data, the highest value is still the result obtained by LSTM training, 0.761, compared with other models of LSTM deep neural network in static financial risk prediction in the overall best performance. In the case study of Yibai Pharmaceutical, the minimum value of the rate of return, return on total assets, and return on assets were -10.02%, 2.56%, -20.72%, which reflects the fact that the private enterprises still have large profitability space to be mined. This study helps investors or financial institutions such as funds to find out the possible financial risk crisis of listed companies as early as possible to avoid the parties from incurring large financial losses.

Kesiapan Perusahaan di Indonesia Dalam Menghadapi Revolusi Industri 4.0

The main point or The purpose of this study is to find out and understand the preparations that every business company in Indonesia has had to face and will continue to face regarding the current era of industrial revolution 4.0 underway and is currently starting to face further developments in the era that is starting Entering era of industrial revolution 5.0. Industrial Revolution 4.0 or what is also known as "cyber physical systems" is an event where there is cooperation between and automation technology and cyber technology. So with the evolution of industry, in the current era, companies previously needed manpower and human resources with physical abilities who could be productive in large amounts of energy, now with chanwith the changes that occur in the eras that occur in industrial sector, technology has entered as a component that helps human work, inseparable from Therefore, the impact is widespread, especially in the industrial sector in Indonesia. Now many companies have implemented technology-based digital systems to support their performance to be more productive and generate large profits as well as develop innovation and facilitate the company's progress to continue to be sustainable in the future. Technology is developing and advancing rapidly thanks to scientists and researchers who have contributed to it in terms of science and technology. With this, digital-based systems and digital-based physical facilities and infrastructure created to make things easier for people achieve various needs and desires according to their respective goals. This is certainly something that cannot be denied and avoided in the world community, not only in Indonesia. Therefore, this article will focus on discussing the readiness of companies in Indonesia to face the positive and negative challenges arising from changes in this progress Results of this study article conclude that although there are efforts being made to prepare companies in Indonesia to face the Industrial Revolution 4.0, further efforts are still needed to ensure equal readiness in various industrial sectors.

PASAR SAHAM INDONESIA DALAM PERSPEKTIF MAKROEKONOMI

The stock market is an investment place that has the potential to provide large profits, but also has high risks. In Indonesia, the IHSG (Composite Stock Price Index) is used as a benchmark for stock market performance. Profitable and low-risk stock investments require attention to macroeconomic factors at both the national and global levels. These factors include inflation, BI rate, exchange rate (USD/IDR), and Brent oil price. This research aims to identify the influence of various macroeconomic factors on the IHSG. The method used in this research is the ARDL-ECM model. The research results show that in the short term, inflation, BI rate, exchange rate (USD/IDR), and Brent oil prices have a significant effect on the IHSG. However, in the long term, only inflation does not have a significant influence on the IHSG.

The Effect of Liquidity Ratios, Profitability Ratios, and Solvency to Value Ratio Company Studies on Sector Companies Consumer Goods Industry Listed on IDX Period 2018-2021

This study examines the effect of the company's liquidity, profitability, and solvency ratios on company value and company size is used as a control variable. Using the Purposive Sampling method with a total sample of 184 business entities in the consumer goods industry sector in Indonesia for the 2018-2021 period. The data analysis technique uses multiple linear regression analysis with the help of the SPSS 26 program. The findings showed that the liquidity ratio had no impact on the value of the company, while the ratio of profitability and solvency had a significant influence on the value of the company according to the hypothesis built in the study. The size of the company proved to significantly affect the value of the company. The implication of this research is that investors can use financial ratio analysis to make decisions before investing. Companies must also pay attention to their financial performance if they want to get investment funds. Large-scale companies usually have a large number of assets so that they can generate large profits, this is what can increase the value of the company.

Cooperation and investment decisions of one shipping liner to multiple ports under differential pricing

Cooperation between shipping liners and ports has become an inevitable trend in the development of the maritime supply chain. To better understand the investment decisions of one shipping liner for multiple ports and the efforts that ports should make to achieve a large market share and high profitability, we construct a two-stage game model from the perspective of ports and shipping liner and summarize the conditions under which the shipping liner invests in different ports. The results show that the greater the difference in initial capacity between two ports under no-investment, the more likely it is that the shipping liner chooses the High-capacity port to call. Interestingly, investment in ports by the shipping liner may not necessarily help ports expand their market share but may instead damage the market share they already have, and the loss effect is positively related to port size. Additionally, with the shipping liner investment, a stronger discount decided by the Flexible port does not attract the shipping liner to cooperate with it. In this study, a multi-stage game model is used to characterize the changes in the decision-making of the maritime supply chain under different strategies, which can not only provide decision-making suggestions for the cooperation choices of shipping liners but also provide a theoretical basis for ports to attract investment from shipping liners.

Analysis of the role of the pineapple agribusiness subsector in increasing people's income in Blitar district

This research is descriptive in nature, namely providing an overview and analysis of the current condition of the company's environment both internal and external to the company. This company faces various problems that must be resolved where fast environmental changes require companies to be more responsive in developing products to deal with the increasingly rapid growth of the insurance industry. This study aims to determine the strengths, weaknesses, threats and opportunities owned and faced by PT. Asuransi Jiwasraya (Persero) Malang Regional Office and determine the right strategy for the company in an effort to develop its business and achieve company goals. So from this research it is hoped that the company can take the right strategic steps in the company's operational activities. The analytical tool used in this study consists of three stages, namely the input stage, matching stage, and decision stage. At the input stage the analysis tools used include Internal Factor Evaluation (IFE) analysis and External factor Evaluation (EFE) analysis. At the matching stage, analysis tools are used in the form of Treath-Opportunity-Weakness-Strength (TOWS) analysis and Internal External (IE) analysis and by using the Quantitative Strategic Planning Matrix (QSPM) at the decision stage, various alternative strategies are analyzed and one strategy is prioritized for implementation. Based on the results of environmental analysis and company position , the strategy chosen is the market penetration strategy. The functional strategy in the field of operations or production includes sales promotions, product presentations, and product outreach. In the field of finance, it covers cost effectiveness and efficiency, simplification of bookkeeping procedures, and the proper use of budgets. In the field of marketing includes market penetration, sales of products that provide large profits, as well as payment of commissions and marketers' rights. And in the field of human resources includes implementing training and providing knowledge about new products.

Analisis laporan keuangan untuk mengukur kinerja keuangan pada PT Kimia Farma Tbk Periode 2018-2022

Assessment of the financial performance of a company can be done by analyzing the company's financial statements for a certain period. In order for financial reports to be meaningful to users or those with an interest in financial reports, it is necessary to carry out an analysis of financial statements. The purpose of this study was to find out the analysis of financial statements to measure financial performance at PT Kimia Farma Tbk for the 2018-2022 period. The analytical method used is descriptive analysis using measurements of liquidity, solvency, activity and profitability ratios. The type of data used in this study is quantitative data sourced from secondary data, namely documents from the IDX/Indonesian Stock Exchange (IDX). The results of the study show that based on the calculation of the liquidity ratio, the company's financial performance is said to be unfavorable, marked by a decline that causes the company to be unable to carry out or pay its current obligations. Based on the calculation of the solvency ratio, it produces data that the company has increased, which makes the company's condition very worrying because the company is unable to pay debts in a timely manner. Based on the calculation of the activity ratio, it can be concluded that the overall condition of the company is good because the activity ratio has not decreased so that the company has been able to maximize the capacity of the company's fixed assets. Meanwhile, based on the calculation of the profitability ratio, it is not good because it has not been able to generate large profits and has not been able to manage the company's investment.

Analysis of Islamic Business Ethics in Buying and Selling Transactions of Agricultural Products Using a Wholesale System and Its Impact on Farmers’ Income in Tanjung Kenongo Village, Pacet District, Mojokerto Regency

When carrying out good buying and selling, it should be based on likes and mutual approval in order to receive blessings from Islamic teachings. Farmers’ income is generally uncertain, it can be once a month or even months and there is still uncertainty about the potential for losses and there are still times when they have to wait for a long time until the harvest season arrives. The impact of buying and selling agricultural produce transactions using a contract system on farmers’ income. Islamic Business Ethics in Sales and Purchase Transactions of Agricultural Produce using a Wholesale System in Tanjung Kenongo Village. In this research, the researcher used a descriptive qualitative approach using a type of field research, namely research in the field or field research. In collecting data in this research, the data used came from direct interviews with related sources. In this contract system, of course, farmers feel a little disadvantaged because they cannot make large profits considering that fertilizer prices are expensive, accommodation costs such as expensive farm laborers, and the price of basic necessities increase so that farmers cannot make a lot of profit, their income decreases a lot. The existence of this contract system also has a positive value, namely by helping farmers who experience difficulties when selling their commodities and helping farmers not to experience large losses. The process of the contract system is said to violate Islamic business ethics because it clearly violates the rules by taking advantage of the difficulties experienced by them. When farmers experience difficulties, although not everyone in this contract process takes advantage of the difficulties, there are several benefits that arise from the existence of this contract system, such as helping farmers not to experience losses.

Assistance, Simple Financial Bookkeeping, for Culinary MSMEs, in front of TMPN Kalibata in Duren Tiga Village, Pancoran South Jakarta

This community service activity aims to assist to provide understanding, especially related to simple financial accounting matters to improve Culinary MSME businesses. Culinary MSME actors generally only keep simple records in the form of income and expenses, but many things are overlooked in recording so that they appear to generate large profits but many expenses are not recorded properly. As a result, the records carried out do not reflect the actual financial condition of the business. Community Service activities carried out are (a) Education on the importance of good financial bookkeeping, and (b) Training on making simple MSME financial bookkeeping.

Building The Prediction of Sales Evaluation on Exponential Smoothing using The OutSystems Platform

To get a large profit in a company or business is to determine sales predictions for the next period. Prediction or forecasting is one of the keys to the success of sales because the predicted value of sales can be used as a reference to determine the order of goods, so there is no loss. Exponential smoothing method is a fairly superior forecasting method in long-term, medium-term and short-term forecasting. The data to be processed is sales data for the 2020-2022 period. The single exponential smoothing method was chosen because it can determine sales predictions for the next period with the smallest error value. The evaluation method used is MAPE, ME, MAD and MSE where this forecasting method is used to find the smallest error value. Based on the calculation results, the smallest error value obtained is ME at 62.8, MAD at 179.9, MSE at 55564.5, and MAPE at 9.20%. The value is at alpha 0.3. The next stage is to design a prediction system using the out-systems platform version 11.14.1 as a place to design the system. The test results of the system that has been designed to assist business owners in making decisions on product inventory estimates.

Budidaya Ikan Nila Merah (Oreochromis SP.) Dengan Teknik Yumina Dan Bumina Sebagai Bisnis Yang Menguntungkan Bagi Masyarakat

Fish is a biological resource in the form of aquatic biota which has the widest number and distribution on earth. The wide distribution of fish supports the large number of species diversity so that it occupies the largest percentage of vertebrate groups. SEAMEO BIOTROP (Southeast Asian Regional Center for Tropical Biology) is a Southeast Asian Ministers of Education’s Organization that provides programs for agricultural students. SEAMEO BIOTROP has several apprenticeship divisions, one of which is Sustainable Urban Agriculture Practitioner (PPB) which studies various problems and solutions to agriculture in the environment urban area. The sub-topic in the internship activities of the PPB division is Red Tilapia (Oreochromis sp.) cultivation with the Yumina and Bumina techniques which can be carried out in urban areas. The activities carried out include: 1. Seeding, 2. Maintenance, 3. Treatment. The purpose of this activity is to provide knowledge, understanding, and skills in cultivating red tilapia properly and correctly so that it can grow and generate large profits at harvest for the community.

Efficacy of Bacillus subtilis to replace in-feed antibiotics of broiler chickens under necrotic enteritis-challenged experiments: a systematic review and meta-analysis

Necrotic enteritis (NE) and coccidiosis are among the most prevalent infectious diseases in broiler chickens, contributing to large profitability losses. Bacillus subtilis is a promising direct-fed probiotic to counter various pathogens infection in broiler chickens. Here, we performed a meta-analysis to investigate the effects of B. subtilis on broiler chickens performance. A total of 28 studies were selected according to a PRISMA checklist. Random-effect model and mixed-effect model of meta-analysis were fitted to estimate the overall effects of B. subtilis (BS) treatment compared to either the control group (CON) or NE-infected group (NEinf) as a baseline. Hedges' g effect size and its variance were used as estimators of standardized mean difference (SMD) calculation where the results were presented at a 95% confidence interval (95% CI) of the SMD. Overall, NEinf broiler chickens depressed (P < 0.01) body weight (BW), average daily gain (ADG), and feed intake, and elevated (P < 0.01) feed conversion ratio (FCR). Treatment with BS improved ADG and final BW of NEinf with no difference (P=0.15) between BS and antibiotics (AB), indicating that they had comparable efficacy to treat NE in broiler chickens. BS supplemented to uninfected CON (BSS) improved (P < 0.01) final BW, ADG, and FCR. Compared to CON, BS, and AB failed to recover the FCR but these treatments decreased (P < 0.01) FCR when compared to the NEinf group with similar efficacy (P=0.97). As expected, NEinf birds had a higher mortality rate (P < 0.01) and higher lesion score (P < 0.01) compared to CON, and treatment using AB and BS successfully decreased (P < 0.01) the mortality rate and lesion score. Compared to BS, AB was more effective to lower (P=0.01) mortality rate, but comparable (P=0.65) to minimize lesion score. To conclude, B. subtilis could be an effective natural additive to replace in-feed antibiotics in broiler chickens challenged with C. perfringens. However, the efficacy to reduce mortality rate was better with antibiotics treatment.

Cryptocurrency Exchange Selection Decision Support System Using Preference Selection Index

Cryptocurrency trading is a very popular business of buying and selling digital money today. Many investors trade cryptocurrency assets through cryptocurrency exchange platforms in the hope of getting a large profit difference. However, the cryptocurrency trading business is not always favourable for investors as choosing the wrong cryptocurrency exchange can result in huge losses from the trades made. Based on these problems, it is necessary to have a decision support system for selecting the most relevant cryptocurrency exchange to be used as a cryptocurrency trading platform that can increase the chances of investors making profits. The decision support system method used in this research is Preference Selection Index (PSI). The results of the selection of cryptocurrency exchanges using the Preference Selection Index (PSI) method in this study recommend Indodax as the most relevant cryptocurrency exchange used by investors to gain profits in running a cryptocurrency trading business because it gets the highest value (0.893662729) compared to 4 other alternatives.

Platform Rhetoric and Fan Labour as the Building Blocks of &lt;em&gt;LEGO Ideas&lt;/em&gt;

Platform Rhetoric and Fan Labour as the Building Blocks of &lt;em&gt;LEGO Ideas&lt;/em&gt;

Peran Kepolisian Dalam Menanggulangi Tindak Pidana Pengedaran Obat Secara Illegal (Studi Kasus Polres Gorontalo Kota)

This study aims to find out and analyze the role of the police in tackling illegal drug trafficking and find out what obstacles the police face in dealing with illegal drug trafficking at the Gorontalo City Police, based on the title raised in this study, researchers see the weakness of Indonesia's defense From the invasion of things that endanger society, thousands of illegal drugs have been circulating throughout Indonesia. This study uses empirical methods. The data collection process examined by researchers in this study were primary data and secondary data. Data collection techniques that support and relate to this research are interviews, observation and literature studies..The results of this study indicate that the cause of people becoming perpetrators of illegal drug distribution is because they want to get rich quickly, perpetrators take advantage of the lack of public knowledge about illegal drugs and the correct distribution mechanism according to the rules. There are several factors that support perpetrators involved in illegal drug trafficking. , namely: Economic factors and environmental and social factors. Illegal drug distribution in Indonesia is regulated in Law no. 36 of 2009 concerning health. The free circulation of illegal drugs in Indonesia has turned out to be used by many elements to gain large profits. Some transactions also occur online. The opportunity to buy cheap drugs and sell them at high/profitable prices is the motive of several individuals who have been caught in illegal drug trafficking. This will not happen if people are educated about economics and law. This is a joint responsibility of the government, the community, BPOM and the Indonesian National Police.