Increase In Net Profit Research Articles

Credit Scoring Model Weighted by Investment and Financing Decisions: Case Study in a Building Supply Store

Current literature provides various models for credit risk analysis, called Credit Scoring Models (CSMs). However, these models are not suited to the majority of Micro and Small Enterprises (MSEs). This is compounded by a lack of technical knowledge of microentrepreneurs linked to the high costs and complexity of the CSMs. These issues are significant as 99% of Brazilian companies are MSEs. Therefore, this paper aims to propose a CSM for an MSE that commercializes construction materials in São Paulo, Brazil. This research is quantitative and characterized as a case study whose CSM is based on the Naive Bayes algorithm implemented in Microsoft Office Excel 2016. This model calculates the probability of default and adherence by weighting the results based on the Modern Finance Theory with the Cost of Denying and the Cost of Granting. The application of the model demonstrates that the successes in approvals (70%) and disapprovals (66%) of Credit Sales were significant with a result of R$ 32.20 thousand and an increase in net profit by 124.2%. We have evidenced that the proposed CSM is able to weigh the risk in investment and financing decisions for the Credit Sales of an MSE. This paper provides a low-cost CSM, adapted to reality and easy to handle and implement in MSEs. This research is a reference to the development of CSMs focused on the credit concessions conducted by MSEs.

The Effect of Net Profit on Cash Dividends and Stock Prices as Intervening Variables in Mining Sub-Sector Companies Listed on the Indonesia Stock Exchange 2018-2022

A positive increase in net profit can cause the stock price to rise, because this increase in stock price can affect investor perception and managerial decisions, including certainty regarding future dividend distribution. This study aims to assess the influence of net profit and cash dividends on stock prices as intevening variables. In this study, the data used is panel data, which is a combination of time series data and cross section data. The time series data used is 2018-2022. The population in this study is all mining sub-sector companies listed on the Indonesia stock exchange. The determination of the sample in this study was carried out using the purposive sampling method, with the main criterion of LQ45 index companies. The results of this study found that Net Profit has an effect on Cash Dividends, then Cash Dividends have an effect on Stock Prices.

Кредиттік серіктестіктің қызметін бағалау және оның ауыл шаруашы- лығы кәсіпорындарын қаржылық қамтамасыз етудегі рөлі

The purpose of the article is to evaluate the role and activities of a credit partnership in the process of financial support for agricultural enterprises. Using abstract-logical and statistical methods in accordance with the goal, the tasks of dynamic assessment of the activities of Tselinogradskoe Credit Partnership LLP in the Akmola region were considered, determining its role in providing financial support to agricultural producers, the state of lending to these producers, in particular, were considered the structure of loans and their use, as well as identifying problems associated with them. The state of income and expenses of the credit partnership, indicators of lending to agricultural producers, that is, their dynamics and structural changes, were assessed. As a result, from an economic point of view, it was found that the increase in net profit is determined, first of all, by the faster growth rate of income compared to the growth rate of expenses. The intermediary activities of CT Tselinogradskoe LLP were analyzed based on the number of participants, the amount of loans issued by area, their return rates over the course of several years, as well as a positive result of the activities of the credit company, A trend has been identified to increase the volume of lending to agricultural producers. And the efficiency of the credit partnership is confirmed by the improvement in the production and financial performance of participants and loan recipients. Further development of the mechanism for lending to agricultural producers through credit partnerships should be carried out taking into account the results of the production and financial activities of the partnership participants, and their volume should take into account the results of the enterprises’ activities.

ANALISIS PENDAPATAN UNTUK MENINGKATKAN LABA BERSIH PADA KOPERASI PEGAWAI REPUBLIK INDONESIA TUTWURI DIKBUDMORA KOTA MADIUN

This research aims to determine the level of income growth and net profit growth, and whether the increase in income each year is always followed by income growth in the following year. Likewise, whether the increase in net profit each year is followed by growth in net profit in the following year. The research object is KPRI Dikbudmudora which is located in the city of Madiun. Using Income data, Operational data, and Tax data from KPRI Dikbudmudora Madiun city from 2019 to 2021. The data analysis technique uses descriptive analysis techniques. The data collection technique used is documentation. The results of this research show that the income and net profit at KPRI Dikbudmudora, Madiun City in 2019-2020 has increased every year, however, the level of efficiency in the company's operational expenses has decreased, so this is one of the factors causing the growth rate of income and net profit. The company's net income fluctuates every year.

Business Strategy Map and Key Performance Indicators for Saffron Petshop Based on Balanced Scorecard

Introduction: The success of the implemented business strategy is considered successful if the company's performance ability or performance is positive or increases well. One way to calculate company performance is with a Key Performance Indicator (KPI). Objective: This paper aims to analyze the business strategy map and key performance indicators of Saffron Petshop based on a balanced scorecard. Design/methodology/approach: This research uses quantitative methods with a descriptive approach. Descriptive approach describes and explains phenomena to conclude phenomena with limited implications. The theories used in this research are Key Performance Indicators (KPI), balance Scorecard theory, and Strategic maps. The data collection technique used in this research is semi-structured interviews using questionnaires to customers at Saffron Petshop. Findings: The main findings in this study indicate that performance based on a financial perspective shows quite effective results with an increase in net profit when other types of businesses are affected by covid 19. Second, performance based on customer perspective shows very effective results when indicators of good customer satisfaction levels are calculated. Third, the effectiveness of performance based on internal business perspectives shows effective results with increased service and product innovation to increase revenue from Saffron Petshop. Fourth, performance based on the learning and growth perspective shows effective results with increased productivity and employee satisfaction.

Высокотехнологичное автосборочное производство

In modern automotive production, high-tech robotic complexes and assembly lines are widely used for all four main production stages: pressing, welding, coating and assembly. The paper views industrial robot-assisted high-tech incomplete vehicle production using robotic manipulators. Studies have been conducted on the efficiency and productivity of automotive production through the use of a robotic assembly. Studies have been conducted on the efficiency and productivity of automotive production using a robotic assembly. A brief overview of scientific works on automation of production using robotic systems is presented. The discussed robotic complexes include various robots: assemblers, manipulators, auxiliary robots. The payback period of the robotic complex ranges from three to five years. Robotic complexes are successfully used in various factories, e.g. 115 robots are used at Volkswagen, 112 robots are used at Renault, 106 robots are used at Nissan. The average time period for assembling one basic vehicle product at the factory is 25 hours. The main characteristics of a robotic automobile assembly such as cycle of the assembly line; work pace; assembly line load factor are viewed. The influence of the main characteristics of the assembly line on productivity in robotic automotive production is estimated. The results show an increase in product output of up to 10% with an increase in the load factor by one tenth. The robotic assembly line efficiency calculation for automotive production shows that within five years the increase in net profit when using just one robotic assembly line will amount to about five million rubles. In addition, the output of products will significantly increase with RPA in automotive production. The effectiveness of using a robotized assembly line in automotive production is also shown.

Projection of PT Aneka Tambang Tbk Share Risk Value Based on Backpropagation Artificial Neural Network Forecasting Result

PT Aneka Tambang Tbk (ANTAM) received an award as the most sought-after stock issuer in Indonesia in 2016. That stock continued to attract investors in 2022 due to a 105% increase in net profit and a 19% increase in sales from the previous year. Despite the upward trend, investors still had doubts due to the fluctuating movement of ANTAM's stock prices. Therefore, forecasting was needed to determine the future movement of stock prices. The Backpropagation Neural Network method had good capabilities for fluctuating data types. However, this method has the disadvantage of a lengthy iteration process. To handle this limitation, The Nguyen-Widrow weighted setting was applied to address this constraint. The expected Shortfall (ES) method used the forecasting results to measure investment risk. This research uses ANTAM stock closing price data from May 2, 2018, to May 31, 2023. Based on the analysis results, the best architecture was obtained with a configuration of 5-11-1, using Nguyen-Widrow weight initialization and a combination of a learning rate of 0.5 and momentum of 0.9. This architecture yielded a prediction error based on the Mean Absolute Percentage Error (MAPE) of 1.9947%. Risk measurement with the ES method based on the prediction for the next 60 periods showed that at a 95% confidence level, the risk value was 0.002181; at a 90% confidence level, it was 0.002165; at an 85% confidence level, it was 0.002148, and at an 80% confidence level, it was 0.002132.

Exploring electric vehicle's potential as capacity reservation through V2G operation to compensate load deviation in distribution systems

This paper addresses the significant challenges faced by distribution system operators (DSOs) in competitive electricity markets due to uncertainties arising from electricity markets, electric vehicles (EVs), and conventional loads. To tackle these challenges, this paper proposes a pseudo-local reserve market between the DSO and EVs, which enables the DSO to integrate EV flexibility into the overall market framework while compensating for deviations in the conventional load across the wholesale electricity market. Furthermore, a two-stage framework is developed to facilitate the participation of EVs in electricity markets. In the first stage, the reserve capacity of EVs is integrated into the decision-making process for day-ahead bidding, taking into account uncertainties of the load and electricity. In the second stage, the day-ahead results are coordinated to enable the efficient dispatch of EVs for real-time market participation. To assess the efficacy of the proposed framework, a case study is conducted within a 31-node distribution system situated on a university campus located in Guangdong, China. This paper investigates the economic impact of load deviation constraints on EV reserves, revealing a penalty reduction of 3100 CNY for a daily reservation of 1000 EVs and a net profit increase of 1300 CNY for DSOs utilizing reserves. It further introduces a method for quantifying reserve capacity, enhancing DSO decision-making accuracy.

Low-Carbon Economic Dispatch of Virtual Power Plant Considering Hydrogen Energy Storage and Tiered Carbon Trading in Multiple Scenarios

Reducing carbon emissions and increasing the integration of new energy sources are key steps towards achieving sustainable development. Virtual power plants (VPPs) play a significant role in enhancing grid security and promoting the transition to clean, low-carbon energy. The core equipment of the VPP, the CHP unit, utilizes a thermal engine or power station to generate electricity and useful heat simultaneously. However, the intermittent and volatile nature of renewable energy sources, as well as the “heat-driven power generation” mode of combined heat and power (CHP) units, presents contradictions that severely affect their peak-shifting capability and lead to high carbon emissions. To address these issues, a novel VPP is established by integrating traditional power plants with carbon capture and hydrogen energy storage. This approach utilizes a “hydrogen energy storage–electric boiler” decoupling method to address the operational mode of CHP, strengthens the coupling relationship between electric and thermal hydrogen loads, and considers a tiered carbon-trading mechanism. With the net profit of the VPP as the optimization objective, the model balances economic and environmental considerations and establishes a low-carbon economic dispatch model for the VPP. A genetic algorithm is employed for solving, and three different dispatch strategies are set for simulation in three distinct seasonal scenarios. The comprehensive comparative analysis of the dispatch results reveals a reduction in carbon emissions and an increase in net profit to varying degrees across all three seasons. Overall, the proposed dispatch strategy demonstrates the ability to enhance the new energy-integration capacity and total revenue of a VPP while simultaneously achieving the goal of reducing carbon emissions.

Analisis Rasio Profitabilitas Untuk Menilai Kinerja Keuangan Pada PT.Telkom Indonesia

The increase in net profit from 2020 to 2021 shows positive profitability growth. This indicates that PT Telkom Indonesia (PERSERO) Tbk has succeeded in increasing its operational efficiency, increasing revenue, or reducing ineffective costs. However, the decline in net profit in 2022 indicates changes in conditions or factors that influence the company's performance. It is important to pay attention to the company's net profit trends and conduct further analysis to understand the causes of changes in performance. The aim of this research is to analyze the profitability ratio of PT Telkom Indonesia (Perseroan) Tbk for the 2021-2022 period. Profitability indicators are used to evaluate a company's economic results. The data used in this research is secondary data in the form of financial reports published by PT Telkom Indonesia (company) Tbk for the 2021-2022 period which are available on the Indonesia Stock Exchange (BEI) or www.idx.co.id. The results obtained were PT. Telekomunikasi Indonesia Tbk needs to pay attention to factors that can have a significant influence on the assessment of the Company's financial performance, both in terms of GPM, NPM, ROE and ROA in the long term.

A comparison of financial and operational efficiency between smart and traditional insufflation for laparoscopic surgery: A granular analysis

ObjectiveSmart insufflation (SI) techniques relying on valve and membrane-free insufflation are increasing in usage. Although considerable literature exists demonstrating the benefits of SI on procedural ease and patient outcomes, there remains a paucity describing the financial impact of these devices. The purpose of this study was to determine the financial and efficiency impact of these devices on the operating room and inpatient wards of a hospital. MethodsA discrete event simulation model representing a typical mid-sized North American hospital comparing SI to traditional insufflation (TI) was generated. The National Surgical Quality Improvement database from 2015 to 2019 was used to populate the model with data supplemented from the literature. Outcomes included length of stay (LOS), duration of surgery (DOS), annual procedure volume, profit, return on investment (ROI), and gross profit margin (GPM). From the literature review, DOS savings were 10–32 minutes/case, while LOS savings were 0–3 days/case. ResultsImplementation of an SI led to an increase in annual throughput of 42–346 (4.4%–36.6%) cases for all procedures and 38 to 297 (4.3%–33.3%) cases for complex procedures. LOS was found to be decreased by 175–614 (18.3%–64.2%) days for all procedures and 231 to 614 (35.6%–77.9%) cases for complex procedures with the implementation of an SI. Together, this resulted in an increase in net profit of $104,685 per annum. The ROI of SI over the TI device was >1000%, and the GPM for the TI was 90.0%, while the GPM for the SI was 71.7%. ConclusionDespite the initial financial investment being greater, the implementation of SI offsets these expenses and yields significant financial benefits. Our study demonstrates the financial benefits of SI over TI and illustrates how granular operational and financial analyses of technologies are essential to aid in sound healthcare procurement decision making.

Analisis Laporan Keuangan Berdasarkan Metode Common Size Pada PT. Sentra Food Indonesia, Tbk

Analysis of Financial Statements Based on the Common Size Method at PT. Indonesian Food Center, Tbk. This study aims to determine and analyze the composition of assets, debts and capital based on the general size of the financial statements of PT. Sentra Food Indonesia, Tbk in 2018-2020. This type of research is descriptive quantitative research. The data collection procedure used in this study is through documentation in the form of financial reports obtained from the official website of the Indonesia Stock Exchange, namely www.idx.co.id. The results of the study show that in terms of the common size from the balance sheet, PT Sentra Food Indonesia, Tbk. who allocated funds for assets in 2018-2019 mostly from their own capital thereby revealing a stronger financial condition of the company, while in 2019-2020 most of the funds for assets came from debt. Common size in terms of profit and loss statement, PT Sentra Food Indonesia, Tbk. In 2018-2019 there was an increase in net profit so that it can be seen that the company managed to increase sales better, while in 2019-2020 net profit decreased due to decreased sales.

DU PONT SYSTEM ANALYSIS TO ASSESS FINANCIAL PERFORMANCE AT PT ACE HARDWARE TBK PERIOD 2014-2018

The business world in this era of globalization causes technology to grow rapidly. Therefore, companies are required to run the company's performance better and with a mature strategy, so that the company's goal of achieving high profits can be realized. This writing examines how the financial performance of a company based on the Du Pont System method. In this Du Pont System, it combines asset turnover with profit margins / Net Profit Margin on sales and how much influence they have on Return On Investment (ROI). The purpose of this paper is to determine the financial performance with the Du Pont System PT method. Ace Hardware Tbk Period 2014-2018. The source of this research data is taken directly from the web of PT. Ace Hardware Tbk. From the results of writing company performance measurements using the Du Pont System method at PT.Ace Hardware Tbk for the 2014-2018 period, it can be stated that the company's financial performance is in good condition because it is still above industry standards, the rise and fall of Return On Investment is caused by increased sales not matched by an increase in net profit after tax so that the Net Profit Margin fluctuated over the past five years, and the fluctuating Total Asset Turnover was due to an increase in total assets that was not matched by an increase in sales value.

Supply Chain Demand Forecasting and Price Optimisation Models with Substitution Effect

Determining the optimal price of products is essential, as it plays a critical role in improving a company’s profitability and market competitiveness. This requires the ability to calculate customers’ demand in the Fast Moving Consumer Goods (FMCG) industry as various effects exist between multiple products within a product category. The substitution effect is one of the challenging effects at retail stores, as it requires investigating an exponential number of combinations of price changes and the availability of other products. This paper suggests a systematic price decision support tool for demand prediction and price optimise in online and stationary retailers considering the substitution effect. Two procedures reflecting the product price changes and the demand correlation structure are introduced for demand prediction and price optimisation models. First, the developed demand prediction procedure is carried out considering the combination of price changes of all products reflecting the effect of substitution. Time series and different well-known machine learning approaches with hyperparameter tuning and rolling forecasting methods are utilised to select each product’s best demand forecast. Demand forecast results are used as input in the price optimisation model. Second, the developed price optimisation procedure is a constraint programming problem based on a week time frame and a product category level aggregation and is capable of maximising profit out of the many price combinations. The results using real-world transaction data with 12 products and 4 discount rates demonstrate that including some business rules as constraints in the proposed price optimisation model reduces the number of price combinations from 11,274,924 to 19,440 and execution time from 129.59 to 25.831 min. The utilisation of the presented price optimisation support tool enables the supply chain managers to identify the optimal discount rate for individual products in a timely manner, resulting in a net profit increase.

Comparative Analysis of Definitely Economic Profits in Utilizing Sorghum Commodities

The events of the Russian-Ukrainian war caused the world grain value to soar, and resulted in a crisis for domestic economic actors, such as Small and Medium Enterprises. Small and Medium Enterprises with wheat bread products are also affected in the form of a decrease in net profit, by reducing their production level. This study aims to analyze the potential of sorghum commodity as an alternative form of transition from wheat commodity. The treatment of updating this research from before is to include the amount of quantity as a form of added value beside increase in net profit income. This research is also expected to provide results of suggestions for improvement, and evaluation of downstream economic research in the business world. Analysis of research with downstream principles and alternatives using sorghum, as a substitute for wheat commodities found in 2022 (October - December) and 2023 (January - March ) shows an increase in achievements in 2023. This is because the sorghum commodity produces a higher added value in the quantity of flour. the results of the study also show profit conditions, namely based on the calculation of net profit income showing a significant increase in net profit in 2022 (October - December) to 2023 (January - March).

LINKING CORPORATE SOCIAL RESPONSIBILITY AND PROFITABILITY OF SELECTED CEMENT COMPANIES IN INDIA: AN EMPIRICAL VALIDATION

Aim: This study aims at discussing corporate social responsibility and profitability of selected cement companies in India. Methodology/Approach: Secondary data were used to do this study. Initially, 5 cement companies listed on BSE were selected. The study covered a period of five years, from 2017-2018 to 2021-2022. Data is collected from annual reports of the selected cement companies and national CSR portal. Research models and techniques used are; simple linear regression model and correlation analysis. Summary: The results indicate a moderately positive correlation between CSR (Corporate Social Responsibility) spent amount and total revenue, with CSR spent amount significantly affecting the revenue. The analysis also reveals a strong positive correlation between CSR spent amount and net profit, with increasing CSR spent amount leading to an increase in net profit. However, no significant relationship exists between CSR spent amount and ROCE or ROA, indicating other factors may have a stronger influence on these metrics. The study further shows a weak positive correlation between CSR spent amount and EPS, but other factors are the primary drivers of variation in EPS. These findings suggest that while CSR spent amount may impact certain profitability for selected cement companies in India, it is necessary to consider multiple variables when analysing profitability. KEYWORDS: CSR Spent Amount, Profitability, Simple Linear Regression Model and Correlation Analysis. JEL Classification: M14, M41.

Pengaruh Penjualan dan Beban Pajak Penghasilan Terhadap Laba Bersih Perusahaan Sub Sektor Perkebunan yang Terdaftar di BEI

The plantation sector is the economy's backbone and the state's foundation. The plantation sector contributed IDR 429 trillion to the national Gross Domestic Product (GDP) in 2016. Oil palm, as the main plantation product in Indonesia, has a high economic value compared to other plantation products and is one of the primary sources of the country's foreign exchange. The increase in local demand is one of the main factors influencing the high production of palm oil. However, the increase in palm oil production is inversely proportional to the company's net profit increase. This research aims to determine the effect of sales and tax expenses on the net profit of plantation sub-sector companies listed on the IDX. This research uses secondary data from the Indonesia Stock Exchange website. The population in this study were 25 companies in the plantation sub-sector listed on the IDX but only used 21 selected companies as research samples with four years of observation. The financial data is the annual financial reports from 2018 to 2021. The results show no significant effect between sales and net profit. Meanwhile, income tax expense has a significant effect on net income partially. Sales and income tax expenses together affect net income simultaneously.

Implementation of Fuzzy Linear Programming Approach for More Accurate Demand Forecasting in a Make-to-Stock Company

Demand forecasting is of crucial importance for make-to-stock companies because product demand is uncertain and it changes with time. Fuzzy linear programming (FLP) can be an optimum approach for such uncertain situations. In this study, the FLP model was used for more accurate demand forecasting in a make-to-stock company. Demand forecasting study was carried out according to the FLP method and linear programming (LP) method. Solutions of FLP and LP were compared in terms of imputed shortage cost, inventory carrying cost, and net profit. Results show that the applied FLP method is more advantageous than LP as it provides a 67% decrease in costs and a 15% increase in net profit.

Impact of enterprise resource planning software implementation on companies’ efficiency

This article is devoted to the description of the results of the research of the impact of the introduction of ERP-systems on the economic and financial performance of the company. To conduct an empirical study, 50 Russian companies of petrochemical production were selected. The purpose of the research was to quantify the results of the ERP systems implementation. Performance evaluation is of the interest to company executives and the board of directors, since the process of implementing an ERP system requires impressive financial investments and labor costs. However, at present, there are difficulties with scientifically based methods for evaluating the results of the ERP systems implementation. Software vendors announce attractive numbers about the effectiveness of the ERP systems implementation, but can they be trusted, since they are interested in sales. Therefore, we proposed the Monte Carlo method to assess the impact of the introduction of ERP systems on the efficiency of the company. The company's costs and savings characterize variables, increase in net profit and NPV were selected as result variables. As a result of the study, obtained data show both the probability distribution in relation to the indicated variables, and the average values of the implementation effects in such areas as stocks and production, working capital, efficiency, labor costs and reporting. According to the results of the analysis of the selected population, the greatest effects from the introduction of ERP-systems were obtained in the formation of management reporting and logistics, which is due to the greatest attention of managers and IT companies to these issues.

Impact Evaluation of Training Programmes on Dairy Farming in Punjab State

Dairy farming is emerging in a big way in the recent years. Although production of milk has increased, productivity is still not up to the mark. KVK, Kapurthala has helped increase the knowledge, inculcate skills and improve socioeconomic status of the rural poor. It was found that the average herd size with dairy farmers increased from 7.68 to 9.21 after the training. Knowledge level of trainees in breed characteristics, disease management, feed management etc. also increased. Number of trainees having knowledge about feed preparation technology increased from 6.67 to 100.00 per cent. Average knowledge score of the trainees increased from 3.64 to 6.39. The acquired knowledge farmers actually applied at their farms, which resulted in enhancement of their daily income. It was noticed that none of the trainees used Urea Molasses Mineral Block (UMMB) licks before the training, while after training percentage of trainees using UMMB licks was 18.75 per cent. Hence, besides gain in knowledge there was adoption of demonstrated technologies among the dairy farmers. Because of improved management at dairy farms, the average milk production per animal per day increased from 6.76 l to 6.93 l. The average reduction in cost of management of disease per animal per year was approximately Rs. 708.22. Increase in net profit per animal per year was Rs. 2607.82. Thus, it can be concluded that specialized training courses in dairy farming are proving to be beneficial to the dairy farmers by enhancing their socio-economic status.