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This study examines the financial performance of PT Unilever Indonesia Tbk during the 2023–2025 period by evaluating key financial indicators, namely the Current Ratio (CR), Debt to Equity Ratio (DER), Return on Assets (ROA), and Return on Equity (ROE). The study aims to assess the company's financial condition and analyze the impact of its business transformation strategy on financial performance. A descriptive quantitative approach was employed using secondary data obtained from the company's published annual financial reports. Data analysis focused on comparing financial ratio trends over the three-year period to evaluate liquidity, solvency, and profitability performance. The findings indicate that the company's financial performance experienced fluctuations during the business transformation process. Liquidity and solvency gradually improved toward the end of the observation period, reflecting stronger short-term financial capability and a healthier capital structure. Profitability also demonstrated increased efficiency in utilizing company assets, although changes in equity returns indicated adjustments in capital management during the transformation process. Overall, the implementation of the company's transformation strategy contributed positively to strengthening financial performance and improving resilience in responding to changing business conditions and market competition. This study provides useful insights for management, investors, and other stakeholders in evaluating the effectiveness of corporate transformation strategies through financial ratio analysis and highlights the importance of maintaining financial stability to support sustainable business growth.

This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

Abstract. PT XYZ, a wooden furniture manufacturing company, served as the research site for this study which applied the Theory of Constraints (TOC) method to analyze production performance and identify bottlenecks. The company faces capacity imbalances between workstations, resulting in production targets that have not been achieved optimally. Data collection involved direct observation and interviews with related parties in the production area. The analysis was conducted by comparing the required capacity with the available capacity at each production workstation. The findings reveal that solid processing, machining, sanding, assembling, painting, and packing have sufficient available capacities to meet production requirements, thus categorized as non-bottleneck processes. In contrast, the panel processing station is identified as the main bottleneck due to its highest workload among all processes. By implementing the Theory of Constraints, the company can identify major constraints and establish improvement priorities to enhance production flow smoothness. It is expected that improvements in bottleneck processes will increase production efficiency, balance capacity among workstations, and support more optimal achievement of production targets. Keywords: bottleneck; capacity; manufacturing; production performance; theory of constraints   Abstrak. PT XYZ sebuah perusahaan manufaktur furnitur kayu, menjadi lokasi penelitian ini yang menggunakan metode Theory of Constraints (TOC) untuk menganalisis kinerja produksi dan mengidentifikasi bottleneck. Perusahaan menghadapi ketidakseimbangan kapasitas antar stasiun kerja yang menyebabkan target produksi belum terdengar secara optimal. Pengumpulan data meliputi observasi langsung dan wawancara dengan pihak terkait di area produksi. Analisis dilaksanakan dengan membandingkan kapasitas yang dibutuhkan terhadap kapasitas yang tersedia pada setiap stasiun kerja produksi. Hasil penelitian menunjukkan bahwa proses pembahanan solid, machining, sanding, assembling, painting, dan packing memiliki kapasitas yang tersedia yang masih mampu memenuhi kebutuhan produksi, sehingga termasuk kategori non-bottleneck. Sebaliknya, stasiun kerja pembahanan panel diidentifikasi sebagai bottleneck utama karena memiliki tingkat beban kerja tertinggi di antara seluruh proses. Dengan penerapan Theory of Constraints, perusahaan dapat mengidentifikasi kendala utama dan menentukan prioritas perbaikan untuk meningkatkan kelancaran aliran produksi. Diharapkan perbaikan pada proses bottleneck dapat meningkatkan efisiensi produksi, menyeimbangkan kapasitas antar stasiun kerja, serta mendukung pencapaian target output perusahaan secara lebih optimal. Kata kunci: bottleneck; kapasitas; kinerja produksi; manufaktur; theory of constraints

PT. Bukit Baiduri Energi (BBE) is a coal mining company that utilizes hauling roads as the main infrastructure for material transportation. This study focuses on a 1.7 km road segment selected as the object of technical evaluation. The objective of this research is to analyze the effect of road geometry improvements on hauling time efficiency and equipment productivity. The method employed includes direct field measurements and calculations of operational parameters such as travel time, cycle time, and productivity. The results indicate that improvements in road grade reduced travel time from 10.13 minutes to 9.86 minutes. This reduction was followed by a decrease in cycle time from 16.29 minutes to 16.22 minutes. In addition, productivity increased from 65.4 bcm/hour to 66.69 bcm/hour. Also, improvements in curve radius and superelevation were implemented on the hauling road. These improvements resulted in a further decrease in travel time from 9.86 minutes to 8.6 minutes. Consequently, the cycle time also decreased from 16.22 minutes to 16.18 minutes. The productivity of hauling equipment increased from 66.69 bcm/hour to 67.02 bcm/hour. Overall, the evaluation of road geometry provided a positive contribution to operational performance. The productivity of overburden removal increased from 65.4 bcm/hour to 67.02 bcm/hour, representing an improvement of 2.48%.

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

The Food & Beverage industry relies heavily on the availability and quality of fresh raw materials, making inventory management crucial. This study aims to analyze the implementation of the First-In, First-Out (FIFO) method in inventory management at PT K Hospitality Investment. The research design used a case study. Data were collected through interviews, observation, and documentation, then analyzed descriptively and qualitatively to assess the implementation of the FIFO inventory method in inventory management. The results show that PT K Hospitality Investment adopts a strict chronological inventory system and issuance of goods based on the order of entry. The use of FIFO inventory is often supported by the FEFO (First-Expired, First-Out) technique. Integrated inventory control has contributed to the financial stability of PT K Hospitality Investment. When properly implemented, the FIFO method not only helps reduce waste and increase efficiency, but also supports the company's operational sustainability. Although the implementation has been successful, the company still faces challenges such as limited infrastructure, a manual recording system, sudden changes in trends or guest order volumes, and delays in supplier deliveries.

This study aims to evaluate how petty cash management practices contribute to improving operational efficiency at PT Anugerah Langgeng Berkat Abadi. This research focuses on examining the implementation of the petty cash management system, applied procedures, and its impact on the smooth execution of daily operational activities. The study employs a descriptive qualitative approach, with data collected through interviews, direct observation, and documentation during the internship period. The collected data were analyzed systematically to describe the actual condition of petty cash management within the company. The results indicate that PT Anugerah Langgeng Berkat Abadi implements a fluctuating fund system in managing petty cash. Expenditures are initially recorded manually and then re-entered into the company’s internal digital system to maintain control and accountability. Petty cash is used to finance routine and urgent operational needs, such as office stationery, transportation costs, and other short-term expenditures. The company has established standard operating procedures governing the use, recording, and accountability of petty cash. Several challenges were identified, including delays in the disbursement and reimbursement process, which may affect time efficiency. However, overall, the petty cash management system is considered effective in supporting short-term operational needs without disrupting the stability of the company’s main cash. This study concludes that systematic and well-controlled petty cash management plays an important role in the company’s cost efficiency strategy and supports daily operational activities. These findings align with strategic management principles, where appropriate financial decision-making contributes to the achievement of long-term organizational objectives.

The selection process for accepting new employees is one of the important stages in a company to ensure that the candidates accepted have qualifications that suit the company's needs. At WINMART, the selection process is still carried out manually, so it is less efficient and prone to errors. Therefore, a system is needed that can assist in more objective and efficient decision making. This Decision Support System (DSS) is designed to assist the selection process for recruiting new employees using the Simple Additive Weighting (SAW) method, which can assess several relevant criteria, such as work experience, education, skills and competency tests. This system was built on a web basis, so it can be easily accessed by parties involved in the selection process, such as HRD and managers. The SAW method was chosen because of its ability to convert various subjective criteria into more objective numerical scores, so that selection results can be more transparent and accountable. By using this system, it is hoped that it can increase efficiency, accuracy and transparency in the new employee selection process at WINMART, as well as facilitate decision making in selecting candidates who best suit the desired criteria.

PT. X is a textile company that produces greige fabric. One of the crucial stages in the greige fabric production process is inspection. Currently, the facility layout of the inspection area at PT X is still suboptimal. This results in longer fabric movement distances and increased time, leading to delivery delays and higher material handling costs. This study aims to design an optimal facility layout in the inspection area using the Activity Relationship Chart (ARC) method and to determine the distances, times, and costs for the proposed layout. In the initial production layout, the fabric movement distance reached 26,130 meters in one working day, and the fabric movement time was 936 minutes. Furthermore, the initial production layout generated a relatively high OMH of Rp 13,742,980 per month. After designing the facility layout using the Activity Relationship Chart (ARC) and Blockplan methods, the proposed layout was arranged according to the production process sequence, resulting in a smoother material flow. The proposed layout yields 16,830 meters of fabric movement per workday, 660 minutes of required time, and a monthly OMH of Rp 7,945,622, with an efficiency of 39.32%.

This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

This study aims to analyze the effect of Return on Asset (ROA), Current Ratio (CR), Net Profit Margin (NPM), and Total Asset Turnover (TATO) on company value as measured by Price Book Value (PBV) in property and real estate sector companies listed on the Indonesia Stock Exchange for the 2019–2023 period. This research adopts a quantitative method with a causal associative approach. The data was obtained from the financial reports of eight companies that met the purposive sampling criteria. Data analysis was conducted using multiple linear regression with the help of SPSS software. The results show that, partially, ROA and CR have a significant negative effect on PBV, while NPM does not have a significant effect on PBV, and TATO has a significant negative effect on PBV. Simultaneously, all four independent variables significantly affect PBV, with an R² value of 12.3%, indicating that most of the PBV variations are explained by other factors outside the research model. These findings provide insights for investors and company management regarding the importance of asset management and operational efficiency in enhancing firm market value.

This study aims to analyze the comparison of equity-based financing decisions and sukuk from the perspective of Sharia principles in companies in Indonesia. The development of the Islamic capital market in Indonesia shows a significant increase in the use of financing instruments that comply with Islamic principles, thereby encouraging companies to consider funding alternatives that are not only financially efficient but also Sharia-compliant. In the framework of Sharia financial management, capital structure decisions must consider the prohibition of usury, the principle of risk sharing, fairness in risk distribution, and contract certainty. This research uses a qualitative approach with a literature study method thru the analysis of various scientific journals, regulations, and academic sources related to capital structure theory, the concept of Sharia equity, and the characteristics of corporate sukuk in Indonesia. The study results indicate that equity-based financing provides flexibility in capital structure and reflects a risk-sharing mechanism, but it has the potential to cause ownership dilution. Meanwhile, sukuk offers asset-based financing with a clear contractual structure and does not dilute company ownership, although it requires an underlying asset and a more complex issuance process. Comparatively, both instruments have Sharia legitimacy as long as they meet the screening requirements and contract structures applicable in Indonesia. This research emphasizes that corporate financing decisions in Indonesia need to consider the balance between financial efficiency and compliance with Sharia principles.

This study aims to analyze the effect of production costs and sales volume on profit with firm size as a moderating variable in food and beverage sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. This study used a quantitative approach with an associative research design. The data used were secondary data obtained from annual financial statements of food and beverage companies listed on the IDX. The sampling technique used purposive sampling and obtained 110 observations. The analysis method employed was Moderated Regression Analysis (MRA) using IBM SPSS Statistics. The results of the study indicate that production costs do not have a significant effect on company profit. Meanwhile, sales volume has a positive and significant effect on profit. Firm size has a negative and significant effect on profit. Furthermore, firm size is unable to moderate the relationship between production costs and profit as well as the relationship between sales volume and profit. The coefficient of determination test shows that the independent and moderating variables are able to explain 56.8% of the variation in company profit, while the remaining 43.2% is explained by other variables outside the research model. This study implies that companies need to focus more on increasing sales volume and improving operational efficiency to enhance profitability.

This study aims to analyze the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the period 2015–2024 using the Springate and Grover models. The research employs a quantitative descriptive approach with secondary data obtained from the company’s annual financial statements. Financial distress analysis is conducted by calculating financial ratios included in each model to describe the company’s financial condition over the observation period. The results indicate that PT Garuda Indonesia (Persero) Tbk experienced financial distress during several periods, particularly before and during the COVID-19 pandemic, which was reflected in weakened liquidity, declining profitability, and reduced efficiency in asset utilization. However, following the financial restructuring process after 2021, both the Springate and Grover models show an improvement in the company’s financial condition, indicating a transition toward a more stable non-distress status. Although the Springate and Grover models use different financial indicators and classification approaches, both are able to descriptively capture the dynamics of financial distress experienced by the company. The differences in classification results reflect the distinct focus of each model, where the Springate model is more sensitive to liquidity and operational performance, while the Grover model emphasizes asset profitability. Therefore, the combined use of both models provides a more comprehensive overview of the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the research period.

The development of information technology has become a primary pillar in enhancing corporate operational efficiency, where rapid and accurate data integration significantly determines business competitiveness. Case study in PT Gawi Anjung Bersama (GAB) revealed that the company is facing operational constraints because the management of delivery orders and invoices still relies on conventional office applications such as Microsoft Excel and Word. This procedure causes hurdles in data sharing among staff and results in low information security due to the absence of integrated access control settings. This research aims to design and develop the Gawi Anjung Bersama Information System (SIGAB), a web-based system implementing the CodeIgniter framework. The system is developed using Waterfall model, encompassing stages from analysis, design, and implementation to testing. The research flow starts with problem identification, primary and secondary data collection, and functional and non-functional requirements analysis. The system is designed using Unified Modeling Language (UML) modeling, specifically Use Case and Class Diagrams, as well as Entity Relationship Diagrams (ERD) for the database. The system interface is designed as wireframes on Figma web. This system separates access rights into three main actors namely owner, administrator, and staff, to ensure data security. Blackbox testing results, conducted after the system was hosted, indicate that all functional features operate as intended. The implementation of SIGAB is expected to optimize the management of delivery orders and invoices at PT GAB.

This study aims to critically analyze the determination of the Tax Base (Dasar Pengenaan Pajak/DPP) in the withholding tax mechanism under Article 23 of the Indonesian Income Tax Law for freight forwarding services at PT MPX Indonesia. The research focuses on evaluating the implementation of the “All-In” billing model, where all operational costs are consolidated into a single gross invoice amount and treated as the taxable base. This approach raises concerns regarding its compliance with applicable tax regulations, particularly in distinguishing between service fees and reimbursable expenses. The study employs a qualitative descriptive method using a case study approach. Data are collected through documentation analysis of transaction records, including invoices and Unified Income Tax withholding receipts. The findings are expected to provide insights into the appropriateness of the applied tax base determination method and its implications for tax compliance and efficiency within the company’s operational practices and financial reporting system.

This study aims to analyze the influence of internal company factors, including company size, networking capital, operating efficiency, liquidity, and leverage, on financial performance, proxied by Return on Assets. The research population includes 40 food & beverage subsector companies listed on the Indonesia Stock Exchange during the 2019–2024 period. Using purposive sampling, 17 sample companies were selected, yielding a total of 102 data observations. This study adopts a quantitative approach, using secondary data obtained from the company's annual financial statements. Data analysis was performed using multiple linear regression to identify partial and simultaneous influences between variables. Empirical findings show that not all internal factors exert a uniform influence on financial performance, as some variables have been shown to have a significant influence, while others do not show a statistically significant relationship. These results have important implications for managers and investors in formulating internal management strategies to drive sustainable profitability

This study aims to analyze the workload of sewing operators within a single production line and to equalize the workload using the line balancing method at PT. Pan Brothers. The garment industry requires high production efficiency; therefore, balanced workload distribution among operators is necessary to ensure optimal production processes. This research used an observational approach with data collection through direct observation of the sewing process, literature study, and documentation of production data. The research population consisted of 36 operators on the observed production line, analyzed through time study activities. The analyzed data included cycle time, takt time, and work processes at each workstation. The results showed that several processes had cycle times exceeding the takt time, specifically in processes number 2, 5, 6, 12, 17, 23, and 26, which caused bottlenecks and workload imbalance among operators. The calculation results indicated that the actual process time reached 520 seconds per product, while the ideal time based on takt time was 287 seconds per product, resulting in a time difference of 233 seconds or about 44% longer than the standard time. The implementation of the line balancing method was carried out by redistributing work elements from processes with high workloads to processes with remaining work capacity. The improvement results showed that the workload among operators became more balanced, the production process became more efficient, and the potential for bottlenecks could be minimized, enabling the company to achieve its production targets.

This study aims to analyze the influence of Good Corporate Governance (GCG) mechanisms, proxied by the Board of Commissioners and Audit Committee, as well as Environmental Performance on Financial Performance in food and beverage manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2023 period. The research method used is quantitative, with a purposive sampling technique that resulted in 22 companies as samples, totaling 88 observations over the four-year study period. The research data is secondary data obtained through financial statements and annual reports from the official IDX website. Literature reviews indicate inconsistencies in previous studies; however, the hypothesis of this research suggests that the Board of Commissioners, Audit Committee, and Environmental Performance have a positive and significant effect on the company's financial performance. The board of commissioners and audit committee play a role in strengthening the oversight function to minimize agency costs and improve efficiency. Meanwhile, good environmental performance, measured through PROPER ratings, is expected to enhance the company's positive image in the eyes of investors and stakeholders.