Profitability Analysis Research Articles

Providing software support for economic analysis

Today, modern software and hardware of information technologies are used to automate production processes, starting from modeling of technical developments and automated computer systems. This study is aimed at describing the process of implementing software support for economic analysis of the enterprise, which will calculate the main economic indicators and informatively display the calculated data. The object of the study is an automated system for calculating and maintaining the main economic indicators of the enterprise. The subject of research is methods of database design and development, data visualization and web applications. A review of literature sources allowed to conclude that most often to assess the economic performance of the enterprise, standard technologies are used, which the authors adapt to specific economic problems. In addition, the analysis of modern research has not identified a single software product that would collect, accumulate, analyze information and calculate the main indicators of economic activity of the enterprise, as well as monitor changes in such indicators in the dynamics. Automation of calculation of economic indicators, statistical analysis and visualization of data gives the chance to carry out effective management of the enterprise in modern economic conditions. The developed system allows to analyze the use of fixed assets; working capital analysis; analysis of the use of labor resources; profitability analysis; analysis of financial stability of enterprises. The paper shows the process of developing a functional model of a web application for the automated calculation of key economic indicators, and presents the advantages and disadvantages of working with the PostgreSQL database management system. The structure of the developed database, which consists of four tables, is given. An example of the work of the developed web application is presented.

Thermo-enviro-economic analysis of conventional steam distillation system for peppermint oil extraction

Present study explored thermo-enviro-economic analysis of commercial scale conventional steam distillation system for peppermint oil extraction. Effect of peppermint batch sizes on energy measures, net CO2 mitigation and net carbon credit earned are also investigated. Life cycle energy production factor (EPFs) and life cycle conversion efficiency (LCCE) are estimated to be 29.2, 33.1 and 38.9, and 12.6 %, 14.8 % and 17.9 % for 1500, 1700 and 1900 kg batch sizes, respectively, for 18 years of life span. Maximum energy and fuel consumption were 4,966 MJ and 193 kg for 1500 kg, respectively. Plant is anticipated to produce 24 kiloliters of peppermint oil per year with an estimated annual selling price of US$153,960 and profit after tax (PAT) of US$15,592 at a tax rate of 18 %. Return on investment (ROI), internal rate of return (IRR) and payback period (PBP) were 73.9 %, 85.7 % and 1.26 years, respectively. Distillation system has a total embodied energy of 166,237 kWh. Lifetime CO2 mitigation and net carbon credit earned are estimated to be 426.6, 438.5 and 568.8 tonnes and ₹1,95,239 (US$2,383.9), ₹2,63,049 (US$3,211.9) and ₹3,61,518 (US$4,414.3) for 1500, 1700, and 1900 kg batch size, respectively, if traded at the rate of 14.85 $/tonne. Profitability analysis pilot plant is highly rewarding and must be captivating for investors.

Role of Rainfed Farming on Farm Household Income in Waru Village Bantarkawung Brebes

Agriculture is the major contributor to the Brebes Regency's Gross Regional Domestic Product and employment, and rice constitutes the principal crop. Bantarkawung District is the leading producer of rice in the Brebes Regency. However, most of the paddy fields in Bantarkawung are rain-fed, so rice growing is hindered during the dry season due to a water shortage. This study's objective is to assess the farm profits obtained by households and the contribution of rice farming to household income. The population comprises 445 rice-farming families in Waru Village, from which 82 rice farmers were randomly selected. Interviews with respondents were conducted in March 2022. The variables include revenue, costs, profit, and household income. The analytical instruments consist of profit analysis and income contribution. Profit analysis was calculated using the R/C ratio, and the income contribution was calculated by comparing the profit of rainfed rice farming with farm household income. The results indicate that rainfed rice cultivation in Waru Village is profitable. The R/C is more than one, in the range of 1.22 to 2.10. Nonetheless, the contribution of rainfed rice farming to household income is small, ranging from 0.7% to 22.85%. The findings suggest that rainfed rice farmers in Waru Village should be able to sustain their farms because this type of cultivation is profitable despite its reliance on rainwater for irrigation. In addition, it is envisaged that the government, through the appropriate agencies, will enhance the road infrastructure to enable the transfer of agricultural inputs and outputs, offer the necessary socialization, and help boost production.

KINERJA AGROINDUSTRI KERIPIK PISANG DI KECAMATAN TANJUNG RAJA KABUPATEN LAMPUNG UTARA

This research aims to analyze the procurement of raw materials, processing, profits and marketing of banana chips in Tanjung Raja District, North Lampung Regency. The research method used is a case study by determining the research location purposively at the Siti, Farida and Giyarti Agroindustry. Data collection was obtained through observation and interviews using questionnaires collected from May to June 2022 at the Siti, Farida and Giyarti Banana Chips Agroindustry. Data analysis was carried out using qualitative descriptive analysis (processing analysis and marketing mix analysis) and quantitative descriptive analysis (EOQ, FIFO and profit analysis). The research results showed that the optimal amount of banana inventory based on the EO method at the Siti, Farida and Giyarti Agroindustry were 63.56 kg, 50.67 kg, 44.33 kg with an ordering frequency of 95 times. The final inventory value of bananas based on the FIFO method at the three Agro-industries in 2021 were IDR 8,853,000.00, IDR 2,298,000.00 and IDR 2,940,000.00, respectively. The processing processes at the three agro-industries include peeling, slicing, frying, draining, cooling, adding flavoring powder and packaging. The marketing mix at the three Agro-industries applies product, price, place, promotion, human resources, process and physical evidence. Profit per production at Siti, Farida and Giyarti Agroindustry respectively amounted to IDR 8,942,657.75; Rp. 2,958,631.94; and IDR 1,842,164.58 with a selling price per 200 grams of IDR 12,000 at Siti Agroindustry and IDR 10,000 at Farida and Giyarti Agroindustry. Key words: EOQ, FIFO, marketing mix, processing and profit

The profitability analysis of fintech microlending: advanced Whale curve tools applying

Fintech is actively expanding its activities in various directions in the modern financial system. One of these directions is the development of consumer lending, which forms an important competitive factor for banks and other traditional lenders. Lending models implemented by fintech companies have a number of fundamental differences from classic ones. The article is devoted to the study of the fintech microcredit model and the profitability analysis of this model based on the advanced Whale curve toolkit adapted to lending.In the article, the microcredit model is structured into three blocks, which include income generation, credit risk management systems, and borrower lead generation. Income generation is considered within the PDL (payday lending) approach. The methodological components of the application of the Whale curve toolkit for lending are justified. The first component outlines a holistic visualization of the relationship between risk and profitability of the credit portfolio of microcredit. The second component is the use of two approaches to the application of the Whale curve toolkit. The first approach is based on the choice of the basis of analysis of income from borrowers, and the second – on the choice of the basis of analysis of income from loans issued. The third component of the methodology was the segmentation of the loan portfolio into 4 segments: A, B, C, and D. It was done for both approaches. Segment A is characterized by the generation of high profitability for the creditor, segment B is close to a neutral level of profitability, and segments C and D are defined by a negative financial result of different levels.The analysis, based on the developed methodology, made it possible to identify a number of regularities between risk and profitability both in terms of segments A, B, C, and D and in terms of repeated loans. The analysis was conducted on the basis of data from several Ukrainian fintech companies for the 2nd and 3rd quarters of 2021.Within the methodological components, the analysis of income sensitivity based on the scenario approach was used in the work. A number of scenarios regarding changes in credit characteristics and risk management parameters were formed. On this basis, the sensitivity of income to these changes was modeled, and a comparative analysis of the results was carried out.The methodology proposed in the article makes it possible to implement an optimization analysis of fintech microcredit, to determine the relationship between credit risk and profitability, and to choose the optimal strategy for increasing the profitability of lending.
 JEL classіfіcatіon: G23, L25

Profitability Analysis Of Selected IT Companies In India Using Data Envelopment Analysis (DEA): A Comprehensive Study

The IT sector in India plays a vital role in driving the country's economy, contributing significantly to its growth and employment landscape. As of 2023, it constitutes around 8% of India's total GDP, employing over 4.5 million professionals directly and supporting an estimated 10 million indirect jobs. With export revenue reaching approximately $194 billion, the IT sector stands as one of the largest contributors to India's foreign exchange reserves. This sector has experienced robust growth, with a projected annual growth rate of 7-9%. This growth can be attributed to its relentless focus on digitalization, innovation, and technology-driven solutions, enabling it to foster economic development, attract investments, and drive digital transformation across various industries. Conducting a profitability analysis of IT companies in India holds significant importance. It provides valuable insights into their financial performance and viability, assisting stakeholders in making informed decisions. Investors and policymakers can assess the efficiency and effectiveness of these companies in generating profits and maximizing returns on investments. Profitability analysis also aids in resource allocation, risk management, and policy formulation to create an enabling environment for IT sector growth. Additionally, profitability analysis allows companies to benchmark their performance, identify areas for improvement, and enhance competitiveness. By evaluating financial indicators, stakeholders can make informed decisions regarding expansion, diversification, and strategic partnerships. Ultimately, profitability analysis serves as a crucial tool for decision-making, resource allocation, and sustainable growth within the IT sector. Therefore, this study aims to analyze the profitability of six selected IT companies in India from 2008-09 to 2021-22 using the Data Envelopment Analysis (DEA) technique. By employing DEA, the study aims to provide valuable insights into the financial performance of these companies and contribute to the existing understanding of profitability dynamics within the Indian IT sector.

Analyses of Productivity and Profitability in Boro Rice Cultivation within Blast-Affected Areas of Kushtia District

This study evaluated the profitability dynamics of blast affected Boro rice cultivation within specific regions of Kushtia District of Bangladesh during the period of 2018-19. A total of 90 farmers, with 30 from each upazila, were selected randomly for participation in this study. The findings revealed substantial yield losses, with the most significant impact observed among11% farmers affected by a disease severity scale of 9 in BRRI dhan28, resulting in a yield loss of 3.92 t/ha. Similarly, a blast severity scale of 9 led to yield losses of 2.0 t/ha in BRRI dhan29, affecting 7% of farmers. The Miniket cultivar exhibited a yield loss of 1.70 t/ha among 56% of farmers with a severity scale of 5. Interestingly, Mirpur experienced devastating losses for both BRRI dhan28 and BRRI dhan29, while Kushtia Sadar suffered significant yield losses for the Miniket cultivar based on disease severity and yield impact. Application of Nativo 75 WG (0.40 Kg/ha) and Trooper 75 WP (0.50 Kg/ha) at the lowest (3%) disease incidence resulted in a remarkable 68.97% increase in yield for BRRI dhan29 in Bheramara. Conversely, spraying of Amistar Top 325 SC (0.56 l/ha) did not lead to increase yield. In Miniket cultivar at Bheramara, Nativo 75 WG (0.45 Kg/ha) and Amistar Top 325 SC (0.37 l/ha) resulted in a lower yield of 2.99 t/ha due to application at a higher (50%) disease incidence. Furthermore, a yield increase of 69.67% was observed with the application of Nativo 75 WG (0.34 kg/ha) in the Miniket cultivar at Kushtia Sadar. The highest gross return, gross margin, net return, and benefit-cost ratio were recorded in Bheramara, amounting to Tk 1,24,084/ha, Tk 46,037/ha, Tk 5,797/ha, and 1.05, respectively. Notably, BRRI dhan29 exhibited the maximum gross return and yield of Tk 1,32,435/ha and 6.14 t/ha, respectively, whereas BRRI dhan28 demonstrated the lowest gross return and net return of Tk 1,09,737/ha and (-) Tk 8,321/ha, respectively, due to higher blast disease incidence. Labor costs constituted the largest share (34.10%) of the total rice production expenses. Despite BRRI dhan28 exhibiting lower net and gross returns per hectare due to higher blast disease incidence, the highest yields in BRRI dhan29 were attributed to its comparatively lower disease infection rate among the three varieties. Evidently, the cultivation of the Miniket cultivar resulted in higher net returns due to its superior market price and quality, especially when disease incidence was lower compared to BRRI dhan28. This emphasizes the importance of blast management strategies and the use of resistant varieties with high yield potential and market value in ensuring sustainable productivity and profitability in Boro rice production. Bangladesh Rice J. 26 (2): 1-18, 2022

Profitability of Hydrogen-Based Microgrids: A Novel Economic Analysis in Terms of Electricity Price and Equipment Costs

The current need to reduce carbon emissions makes hydrogen use essential for self-consumption in microgrids. To make a profitability analysis of a microgrid, the influence of equipment costs and the electricity price must be known. This paper studies the cost-effective electricity price (EUR/kWh) for a microgrid located at ‘’La Rábida Campus’’ (University of Huelva, south of Spain), for two different energy-management systems (EMSs): hydrogen-priority strategy and battery-priority strategy. The profitability analysis is based, on one hand, on the hydrogen-systems’ cost reduction (%) and, on the other hand, considering renewable energy sources (RESs) and energy storage systems (ESSs), on cost reduction (%). Due to technological advances, microgrid-element costs are expected to decrease over time; therefore, future profitable electricity prices will be even lower. Results show a cost-effective electricity price ranging from 0.61 EUR/kWh to 0.16 EUR/kWh for hydrogen-priority EMSs and from 0.4 EUR/kWh to 0.17 EUR/kWh for battery-priority EMSs (0 and 100% hydrogen-system cost reduction, respectively). These figures still decrease sharply if RES and ESS cost reductions are considered. In the current scenario of uncertainty in electricity prices, the microgrid studied may become economically competitive in the near future.

Analysis of profitability and cost efficiency on Islamic social reporting with company size as a moderating variable

Tujuan dari penelitian ini yaitu untuk mengetahui Pengaruh Profitabilitas dan Efisiensi Biaya terhadap Islamic Social Reporting dengan Ukuran Perusahaan sebagai Variabel Moderasi pada Bank Umum Syariah Tahun 2016-2020. Pada riset ini populasinya yaitu Bank Umum Syariah sebanyak 14 Bank yang terdapat di Indonesia.Teknik pengambilan sampel yang digunakan pada riset ini menggunakan Purposive Sampling sehingga diperoleh sampel sebanyak 13 Bank Umum Syariah periode 2016-2020. Jenis penelitian ini adalah penelitian kuantitatif dengan menggunakan Moderated Regression Analysis (MRA) dan menggunakan data sekunder berbentuk data panel. Data pada penelitian ini bersumber dari laporan tahunan bank umum syariah yang termasuk sampel kemudian data tersebut diolah menggunakan alat bantu aplikasi Eviews 9. Berdasarkan hasil penelitian yang telah dilakukan diperoleh hasil yaitu secara parsial variabel Profitabilitas dan Efisiensi biaya memiliki pengaruh yang negatif signifikan terhadap Islamic Social Reporting (ISR), kemudian variabel Ukuran Perusahaan mampu memoderasi memperkuat hubungan antara Profitabilitas dan Efisiensi Biaya terhadap Islamic Social Reporting (ISR).

Profit Analysis of Small-Scale Poultry Layers in Iwo Agricultural Development Programme (ADP) Zone of Osun State

This study focused on the profit analysis of small-scale poultry layers in Iwo ADP Zone of Osun State. Data were collected from the poultry farmers using a well-structured questionnaire and multi-stage sampling procedure. A total sample size of one hundred and five (105) poultry farmers was selected. Data were analyzed using descriptive statistics budgetary analysis and inferential statistical tools (OLS). Results of the study revealed that majority (80%) of the farmers were below 50 years and the farmers’ mean age was 49.5±7.7 years. The majority (95%) of the farmers had primary education and above. The mean year of experience was 11.0±3.4 years. The mean birds reared and profit was 405 birds and N84, 849.54 respectively. Return on investment during the period was N1.04 establishing positive returns. Household size, years of poultry farming experience and stock size were the factors significantly influencing the profit positively. Therefore, it is suggested that poultry farmers in the study area should try to increase their pen size, explore the use of family labour and endeavour to learn new methods of poultry management from farmers with more years of poultry-keeping experience to increase their level of profit.

The Profitability Analysis on Company Value Using Islamic Social Reporting as a Moderating Variable

Nilai perusahaan di suatu perusahaan pada umumnya diukur melalui harga saham. Nilai perusahaan yang tinggi umumnya ditandai juga meningkatnya harga saham suatu perusahaan di pasar. Bagi perusahaan yang tercantum di dalam Jakarta Islamic Index (JII), tingginya harga saham tidak juga diikuti dengan nilai profitabilitas yang tinggi baik menurun maupun meningkat. Indikator profitabilitas diukur melalui Return on Asset (ROA). Oleh sebab itu ditambahkan ISR sebagai variabel moderasi dalam penelitian ini. Penelitian ini bertujuan untuk mengetahui pengaruh dari variabel profitabilitas terhadap variabel nilai perusahaan dengan Islamic Social Reporting (ISR) sebagai variabel moderasi di perusahaan yang tercatat di dalam Jakarta Islamic Index (JII) tahun 2019-2021. Penelitian ini menggunakan pendekatan kuantitatif. Pengambilan sampel dilakukan melalui teknik purposive sampling, serta pengolahan data menggunakan SmartPLS versi 4. Hasil penelitian menunjukkan bahwa Profitabilitas yang diproksikan melalui ROA tidak berpengaruh terhadap Nilai Perusahaan. Selain itu, pengungkapan ISR sebagai variabel moderasi tidak dapat mempengaruhi hubungan antara profitabilitas terhadap nilai perusahaan.

Process simulation and economic assessments for biodiesel production catalyzed by green Nanocatalysts

AbstractThe biodiesel production catalyzed by naturally derived catalysts such as calcium oxide (CaO) and sulfonated carbon catalysts achieved high biodiesel yield at moderate operating conditions. However, very few studies were conducted to evaluate the economic feasibility of industrial‐scale production of biodiesel catalyzed by both green catalysts of CaO and sulfonated carbon catalysts. The current study aims to assess the technical competency and economic feasibility of industrial‐scale production of biodiesel catalyzed by two processes 1.) CaO catalyst and 2.) sulfonated carbon catalyst. Process simulations via Aspen Hysys were carried out to perform material and energy balances for both process configurations designed earlier with respect to the base catalyst (CaO) and acid catalyst (sulfonated carbon) used. Economic analysis was initiated after the equipment sizing and costing had been carried out. Total capital investment, total manufacturing cost, and key performances of the rate of return, payback time, breakeven point, and net profit after‐tax rate were calculated for each process. Based on the economic analysis, the computed return on investment (ROI) is 105.36%, and it has a low payback period of 0.94 year to offset its original investment. The discounted cumulative profit (NPV) analysis shows that breakeven was achieved in the 3rd year. On the other hand, for the plant that utilizes sulfonated carbon in the transesterification reaction, the computed ROI is 14.02% with a payback period of 7.13 years, and the breakeven was achieved in the 9th year. In conclusion, the manufacturing plant of transesterification reaction catalyzed by CaO catalyst appeared as the most promising pathway either technically or economically.

Toward green steel: Modeling and environmental economic analysis of iron direct reduction with different reducing gases

The objective of the paper is to simulate the whole steelmaking process cycle based on Direct Reduced Iron and Electric Arc Furnace technologies, by modeling for the first time the reduction furnace based on kinetic approach, to be used as a basis for the environmental and techno-economic plant analysis by adopting different reducing gases. In addition, the impact of carbon capture section is discussed. A complete profitability analysis has been conducted for the first time, adopting a Monte Carlo simulation approach.In detail, the use of syngas from methane reforming, syngas and hydrogen from gasification of municipal solid waste, and green hydrogen from water electrolysis are analyzed. The results show that the Direct Reduced Iron process with methane can reduce CO2 emissions by more than half compared to the blast furnace based-cycle, and with the adoption of carbon capture, greenhouse gas emissions can be reduced by an additional 40%. The use of carbon capture by amine scrubbing has a limited economic disadvantage compared to the scenario without it, becoming profitable once carbon tax is included in the analysis. However, it is with the use of green hydrogen from electrolyzer that greenhouse gas emissions can be cut down almost completely. To have an environmental benefit compared with the methane-based Direct Reduced Iron process, the green hydrogen plant must operate for at least 5136 h per year (64.2% of the plant's annual operating hours) on renewable energy.In addition, the use of syngas and separated hydrogen from municipal solid waste gasification is evaluated, demonstrating its possible use with no negative effects on the quality of produced steel. The results show that hydrogen use from waste gasification is more economic with respect to green hydrogen from electrolysis, but from the environmental viewpoint the latter results the best alternative. Comparing the use of hydrogen and syngas from waste gasification, it can be stated that the use of the former reducing gas results preferable, from both the economic and environmental viewpoint.

Comparative Profitability Analysis of Public and Private Ltd Companies in India (A Case Study on Bharat Petroleum Corporation Limited and Essar Oil Limited (Nayara Energy)

The profitability has been identified as one of the most significant aspects of any business. Profitability Analysis of Public and private sector Oil Companies is very essential to know about general and overall profitability. The objectives of the study are to find out the Profitability of the organization to examines relationship between different Profitability Ratios. This study is based on the secondary data which is collected from the Annual Reports of Bharat Petroleum Corporation Limited and Essar Oil Limited (Nayara Energy). Ratio analysis as a tool is used for data analysis. Under analysis General Profitability Ratios and Overall Profitability Ratios are calculated to justify the said objectives. At last t-test used for Hypothesis testing. The study would be beneficial for public and private ltd companies.

Strategic, Economic, and Potency Assessment of Sorghum (Sorghum bicolor L. Moench) Development in the Tidal Swamplands of Central Kalimantan, Indonesia

The potency and challenges of sorghum development in tidal swamplands in Indonesia have yet to be well studied. Thus, our study is the first to evaluate the land suitability, economic performance, and strategies for developing sorghum in the tidal swamplands in Central Kalimantan. We use the land suitability evaluation method, a gross margin and profit analysis, a break-even analysis, and a competitive analysis as the methods for assessing the potency and utilization of sorghum in this study. As a tool for decision-making, SWOT was also used, followed by a quantitative strategic planning matrix (QSPM) analysis. The results show that 578,511 ha of arable land is suitable for sorghum development. Economically, sorghum farming can generate IDR 12,894,000 per ha with a revenue-cost ratio of 1.72; the break-even price would be IDR 2447 per kg, around 42% lower than the current market price. Sorghum is also more competitive than cassava (Q = 0.76), sweet potato (Q = 0.58), and soybeans (Q = 0.61) and less competitive than maize (Q = 1.33). Based on the QSPM analysis, five alternative strategies were obtained for developing sorghum in tidal swamplands: (1) optimization of productivity; (2) improvement in the quality of human resources for farmers; (3) facilitation of partnership cooperation; (4) application of site-specific technology; and (5) optimization of waste utilization. These strategies show that the expansion of sorghum planting has potential in the tidal swamplands and economic value for the community.

ANALYSIS OF THE INFLUENCE OF FACTORS REGARDING THE FORMATION OF ENTERPRISE PROFIT AND METHODS OF ITS OPTIMIZATION

The article describes the importance of analyzing the company's profit and methods of its optimization. Such indicators as profit and profitability are investigated. The economic efficiency of the enterprise has been reflected. The subject of the study is the analysis of the company's profitability. The research methodology is based on the analysis of the performance characteristics of the enterprise as a whole, the formation of profit and its profitability.
 The concept "profit" is analyzed. The legislative and regulatory framework and literary sources regarding the determination of the specifics of calculating the financial results of the enterprise are considered. The economic essence of profit is revealed, which is the result of the enterprise's activity and an indicator that determines its efficiency. Obtaining profit is the main stage of the general process of profit management and not only the basis of its distribution, but also a source of renewal of production assets and new self-financing for further development of the enterprise.
 An increase of the profit of enterprises significantly affects the pace of its development, that is why every enterprise tries to increase its size. However, there are factors that affect profits. The main factors that can influence the successful operation of the company and the formation of profits (losses) are highlighted. It has been found that the considered factors do not have a direct impact on the profit of the enterprise, but act by influencing the volume of products sold and their cost price. Among them, both internal and external ones have been singled out. Internal influencing factors have been chosen for further analysis.
 Based on the available financial statements, an analysis has been conducted regarding the formation of the company's financial results. The company's profitability indicators have been analyzed.

How to operate ship fleets under uncertainty

Ships operated by a liner company are scattered around the world to transport goods. A liner company needs to adjust its shipping network every few months by repositioning its ships to respond to uncertain container shipping demand. Few studies investigate a liner company's multiperiod heterogeneous fleet deployment problem under uncertainty, considering fleet repositioning, ship chartering, demand fulfillment, cargo allocation, and adaptive fleet sizes. To this end, this study formulates a mixed‐integer linear programming model that captures all of these elements. This study also designs a Benders‐based branch‐and‐cut algorithm for this non‐deterministic polynomial‐time (NP)‐hard problem. Two types of acceleration strategies, including approximate upper bound tightening inequalities and Pareto‐optimal cuts, are applied to improve the performance of the algorithm. Extensive numerical experiments show that the proposed algorithm significantly outperforms CPLEX and its Benders decomposition framework in solving the model. We conduct an intensive analysis and find that multistage stochastic programming can lead to better solutions than two‐stage stochastic programming. We also find that 10% of the benefit provided by the multistage model over the two‐stage model is due to better fleet deployment decisions and that 90% of the benefit is due to better demand fulfillment and allocation decisions. By exploring three practical questions regarding driver analysis of liner company profitability, benefits analysis of adaptive fleet sizes, and the influence of the COVID‐19 pandemic on liner shipping, we show how liner companies can benefit from managerial insights obtained in this study.

Analysis of Profitability, Liquidity on Company Value with Capital Structure as a Moderating Variable in Property Companies Listed on the Indonesia Stock Exchange in 2017-2021

Analysis of Profitability, Liquidity on Company Value with Capital Structure as a Moderating Variable in Property Companies Listed on the Indonesia Stock Exchange in 2017-2021

Feasibility Analysis Of Tas Small To Medium Industrial Enterprises In Tanggulangin District, Sidoarjo Regency

Small and medium industries (IKM) have made a major contribution to national economic growth and societal welfare. The important role of the SME sector can be seen from the absorption of the workforce which reached 12.39 million people or contributed 66.25% of the total workforce in the industrial sector. The important role of the SME sector can be seen from the absorption of the workforce which reached 12.39 million people or contributed 66.25% of the total workforce in the industrial sector. SMEs were able to contribute to the growth of the non-oil and gas industry by 21.22%. This research uses a qualitative analysis method with primary data and secondary data. Data was collected through literature study, observation, interviews and documentation conducted on six bag business informants in Kedensari Village, Tanggulangin District, Sidoarjo Regency. Business feasibility analysis is determined using a cost and profit analysis formula. The formula used is analysis of the R/C ratio, B/C ratio, and ROI. Based on the results of research conducted on six bag entrepreneurs in Kedensari Village, Tanggulangin District, Sidoarjo Regency, analysis of the R/C ratio, B/C ratio, ROI shows results >1 which indicates that the business is feasible. This shows that the profit value obtained by bag entrepreneurs is more than the total costs and business capital incurred during bag production.

Analisis Keuntungan Usaha Gula Aren Di Desa Ranoiapo Kecamatan Ranoyapo

The purpose of this research is to analyze the profit of palm sugar business in Ranoiapo Village, Ranoyapo Subdistrict. The research was conducted for 2 months from June to July 2023 from the preparation to the preparation of the research report located in Ranoiapo Village, Ranoyapo Subdistrict. The research data sources are primary data and secondary data where primary data obtained from direct interviews with palm sugar entrepreneurs in Ranoiapo Village, Ranoyapo Subdistrict and secondary data from relevant agencies, books, journals, scientific papers and google scholar. The population in this study are residents who do palm sugar business in Ranoiapo Village, Ranoyapo Subdistrict with a total of 18 entrepreneurs. As for the sample in this study as much as 35 percent of the total population of palm sugar entrepreneurs then obtained as many as 6 entrepreneurs who were used as respondents sampling was taken by simple random sampling or simple random. The research data were analyzed using profit analysis. The results showed that the profit of palm sugar business in Ranoiapo Village, Ranoyapo Subdistrict, obtained a result of Rp568,470 per week with a total cost of IDR208.655 per week and a total revenue of IDR777.125 per week, from the results of this profit if calculated per month then get a total profit of IDR2.253.880 from this total palm sugar business is profitable but still below the provincial minimum wage (UMP) of North Sulawesi Province which amounted to IDR3.485.000 in 2023.