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This study aims to analyze product innovations in the Musyarakah contract applied by Islamic financial institutions in Indonesia. The research uses a qualitative descriptive method with case studies from several Islamic banks. Data were collected through documentation and interviews with practitioners. The study found that innovations in Musyarakah products are largely driven by the need to enhance competitiveness and address the unique demands of the Indonesian market, particularly among micro, small, and medium enterprises (MSMEs)  Several banks have modified the classical Musyarakah structure to align with customer preferences and regulatory standards. For instance, some institutions implement tiered profit-sharing mechanisms, structured financing tenures, and integration with digital banking platforms to improve accessibility and monitoring. In addition, hybrid contracts that combine Musyarakah with other contracts, such as Ijarah or Murabahah, are increasingly used to create more flexible and customer-friendly financing solutions. Practitioners interviewed noted that one of the main challenges in implementing Musyarakah-based products is the higher operational and monitoring cost, due to the nature of partnership-based risk-sharing. However, these challenges are being addressed through technological innovation, such as mobile applications that help track business performance and automate profit-sharing calculations. The study concludes that product innovation in Musyarakah financing can enhance the inclusivity and effectiveness of Islamic banking in Indonesia, especially in supporting entrepreneurial sectors. Nevertheless, standardization, regulatory support, and continued investment in human resource capacity remain critical for sustained innovation. Future research may explore the customer perception of Musyarakah products, the impact of these innovations on financial performance, and comparative studies with conventional financing models.

Load handling is all the processes and action taken to move, store and protect goods or products from one place to another. The many risks that occur such as imbalance of cargo will affect the stability of the ship, inefficient waiting time, and potential risks to the safety of the crew. Understanding of cargo handling is done to optimize ship operational performance, reduce waiting time during loading and unloading and minimize the risk of applied scientific work is qualitative by gaining an indepth understanding of the experiences and views where observations are made that occur during the operational activities of the ship which is the object of research. This research provides a conclusion that cargo handling is very influential on the smooth operation of the ship and the safety of everyone on board. Maintenance of safety equipment and socialization of the crew about the importance of safety will be every helpful for smoothness during the loading and unloading process.

This study aims to determine the effect of Credit Risk, Liquidity Risk, and Operational Efficiency on Financial Performance in the Conventional Banking Sector listed on the Indonesia Stock Exchange for the period 2019-2023. The research method used is quantitative using secondary data obtained from the Indonesia Stock Exchange, namely the annual financial reports of conventional banks. The sampling technique was carried out using the purposive sampling method. The analysis was carried out with credit risk using the Net Performing Loan (NPL) ratio, liquidity risk using the Loan to Deposits Ratio (LDR) ratio, operational efficiency using the Operating Expenses to Operating Income (BOPO) ratio and financial performance was measured using Return On Assets (ROA). The results of the study showed that partially the credit risk variable had a significant negative effect on financial performance, liquidity risk did not have a significant effect on financial performance, operational efficiency did not have a significant effect on financial performance. Simultaneously, credit risk, liquidity risk, operational efficiency had a significant effect on financial performance.

A 300 kVA generator set is an important tool as a backup power source in many sectors. Manual monitoring of generator set performance is often inefficient and can cause delays in detecting problems. Various advances in Internet of Things (IoT) technology have enabled the design of remote monitoring systems to overcome these limitations. This study aims to develop an IoT-based monitoring tool capable of monitoring important generator set parameters such as voltage, current, power, and engine temperature in real-time. This will enhance generator set management efficiency and reduce the risk of damage. The method used is an experimental approach involving the creation of an IoT-based monitoring system prototype. Operational data from the generator set is collected using sensors and then transmitted to an IoT platform for analysis. This research uses PZEM-004T sensors to monitor parameters such as power, current, and voltage. RTD PT100 sensors monitor parameters such as engine temperature, oil temperature, and turbo temperature. Honeywell PX3 sensors monitor oil pressure. Honeywell 1GT101DC sensors monitor engine speed. The results of the study show that the device works well with an average error of 0.76% from the sensors used. The greater the distance between the Wi-Fi modem and the device, the slower the data response speed.

Hang Nadim International Airport in Batam is a growing air transportation hub, driven by increasing public mobility and aviation activity. Ground handling services in the airside area are crucial, particularly for buses transporting passengers to and from aircraft. However, several issues persist, such as late pick-ups, unsafe bus conditions, and frequent technical disruptions. This study aims to identify the role of PT Lion Group bus drivers in supporting ground handling services and analyze the impact of bus breakdowns on driver performance at the airport. The method used was descriptive qualitative, using observation, interviews, and documentation. Interviews were conducted with drivers, technicians, and Apron Movement Control (AMC) officers to obtain data on technical challenges and operational coordination. Observations were conducted during On-the-Job Training (OJT), and documentation was used to support the validity of the data. The results indicate that bus drivers play a crucial role in ensuring smooth ground handling services, but are frequently hampered by technical breakdowns, such as engine and braking system problems, which impact passenger comfort and On-Time Performance (OTP). Recommendations include improving bus maintenance, providing a backup fleet, and providing technical training for drivers to improve service effectiveness.

Baggage handling is a crucial aspect of airline operations, including the lost and found unit, which handles lost, damaged, exchanged, and found baggage issues. At Juanda International Airport in Surabaya, these issues remain common. This study aims to analyze the performance of Citilink's lost and found officers in handling various baggage issues and evaluate the unit's productivity, efficiency, and effectiveness. The method used was descriptive qualitative research with a case study approach, collecting data through observation, semi-structured interviews with officers, and documenting operational procedures and baggage handling reports. The results indicate that lost and found officers play a crucial role in post-flight service, from receiving reports to providing compensation. Although procedures are carried out according to SOPs, obstacles such as a lack of manpower and a manual reporting system slow down the process. Officer performance is quite good, but efficiency improvements and the use of technology are needed, such as further training and a modern baggage tracking system.  

Keripik Singkong Alif, a micro-enterprise located in Suka Damai Village, faces challenges in managing human resources due to its traditional and unstructured operational system, leading to inefficiencies and obstacles in business development. To address this issue, socialization and education on Digital Talent Management (DTM) were conducted as a solution to improve HR management through a simple and applicable digital approach. This activity aimed to educate micro-business actors on the importance of talent management. The methods used included field observations, interviews, socialization, training, mentoring, and step-by-step evaluation to ensure that business owners could understand and independently implement the system.  The results of the activity show that the socialization program consisted of several stages, namely observation, problem identification, implementation of socialization and education, and evaluation. Through four days of socialization and education, Keripik Singkong Alif successfully established a clearer division of tasks, recognized employee potential, and agreed on work procedures through the development of a simple Guidebook. The digital approach used effectively raised awareness among business owners about the importance of work documentation and performance evaluation, despite initial challenges in digital literacy.

The Indonesian manufacturing industry is currently facing intense pressure due to global economic fluctuations and domestic volatility, prompting a strategic reassessment of sustainability practices to maintain competitiveness. While firm value reflects investor confidence, discrepancies remain between operational performance and market valuation, particularly in highly profitable firms. This study aims to systematically investigate how internal corporate factors namely dividend policy, firm size, and green accounting influence firm value. Using a Systematic Literature Review (SLR) method, ten journal articles published between 2023 and 2025 were selected based on indexation (SINTA, Scopus, Copernicus), methodological clarity, and variable alignment. The articles were screened and analyzed using content analysis techniques, supported by Microsoft Excel and Mendeley for structured data extraction. The findings reveal that a stable dividend policy serves as a strong signal of financial stability, firm size reinforces strategic positioning and resource capacity, and green accounting strengthens legitimacy through sustainability disclosure. These factors jointly shape market perceptions and ultimately influence firm valuation. The synthesis supports both signal theory and legitimacy theory in explaining the transmission of value through internal policies. This study contributes theoretically by integrating financial and sustainability variables into a unified value framework and offers practical insights for corporate decision-makers seeking to align internal strategies with investor expectations. Limitations include reliance on secondary data and scope restricted to the manufacturing sector. Future studies should explore empirical validation through cross-sectoral analysis and primary data to enrich the findings.

Methane gas detection is crucial in the oil and gas sector to enhance safety and operational efficiency. This study examines the impact of three types of gas detectors—catalytic, infrared, and ultrasonic sensors—on accuracy and response time. The research was conducted at PT PHM's onshore and offshore sites to evaluate sensor performance in operational environments. A quantitative approach with direct field observation was used. Data were collected by measuring methane gas concentrations indicated by detectors, which were then compared to standard gas concentrations. Response times were recorded when the detectors were exposed to methane concentrations of 2.5% LEL until the alarm triggered at 40% of full scale. Data analysis was performed using descriptive statistics, homogeneity test, normality test, ANOVA, and post hoc tests. The results show that the infrared detector had a response time of 2.87 seconds with an accuracy of 0.218%. The catalytic detector had a response time of 8.91 seconds and accuracy of 0.489% and the ultrasonic detector had a response time of 6.15 seconds and accuracy of 0.842%. Overall, the infrared detector demonstrated the best performance in response time and is recommended for use at PT PHM.

Hospital Information Sistems (HIS) integrating Decision Support Sistem (DSS) modules have been proposed to enhance operational efficiency and clinical decision-making in hospital settings. This study conducted a systematic literature review of 80 empirical articles published between January 2020 and May 2025, following PRISMA guidelines, to examine how DSS integration within HIS supports managerial and clinical decisions. Findings indicate that DSS integration improves patient registration speed by an average of 25, reduces medication errors by up to 15, and facilitates resource allocation and performance monitoring via analytic dashboards. Organizational resistance and inadequate IT infrastructure remain significant barriers. These results underscore the importance of designing user-friendly dashboards, implementing transparent inference engines, and adopting comprehensive change management strategies. The study extends the Technology Acceptance Model with a perceived risk construct and offers practical recommendations for developers and hospital managers aiming to optimize HIS–DSS implementation.

This study aims to analyze the influence of work motivation on employee performance at PT Subur Plus. Work motivation is considered one of the crucial factors in enhancing both individual and team performance. The research employs a quantitative approach using a survey method with questionnaires distributed to 50 permanent employees in the operational and administrative divisions. Work motivation is measured through intrinsic and extrinsic factors, while employee performance is assessed based on quantity, quality, timeliness, and responsibility. The results of the analysis indicate that work motivation has a positive and significant effect on employee performance. The coefficient of determination (R²) of 94.7% shows that most of the variation in employee performance is influenced by work motivation. These findings highlight the importance of implementing effective strategies to enhance employee motivation through training programs, rewards, and the development of a supportive work environment.

The food and beverage subsector of the manufacturing industry, despite experiencing positive growth, still faces challenges in maintaining financial performance stability, such as high operational costs, suboptimal capital structure, and efficiency differences across company scales. This study aims to examine the effect of operational efficiency, leverage, and firm size on financial performance, both partially and simultaneously, in food and beverage manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2022–2024 period. The sample consists of 16 companies selected using purposive sampling, with a total of 48 observations. This research applies a quantitative approach using panel data regression analysis and hypothesis testing through partial (t-test) and simultaneous (F-test) methods with STATA version 14. The best model used is the Random Effect Model (REM), selected through Chow, Hausman, and Lagrange Multiplier tests. The findings indicate that leverage has a significant negative effect on financial performance when tested partially, while operational efficiency and firm size do not have a significant partial effect. However, when tested simultaneously, operational efficiency, leverage, and firm size significantly influence the financial performance of food and beverage manufacturing companies listed on the IDX.  

This study aims to determine the effect of work motivation and work discipline on employee performance at PT Tiki Jalur Nugraha Ekakurir (JNE) Kampung Lalang, a logistics and delivery service company. Optimal employee performance is the result of a combination of internal drive (motivation) and compliance with work regulations (discipline). This research uses a quantitative approach with a survey method. Data were collected through questionnaires distributed to respondents who are operational employees at JNE Kampung Lalang. Data were analyzed using multiple linear regression assisted by SPSS software. The results showed that work motivation has a positive and significant effect on employee performance with a coefficient value of 1.000 and a significance of 0.000. Conversely, work discipline has a negative but significant effect on employee performance with a coefficient value of -0.388 and a significance of 0.000. This finding indicates that increasing work motivation can encourage increased employee performance, while negative results from work discipline. This study emphasizes the importance of management in properly understanding the internal factors that influence performance so that the policies implemented do not have a counterproductive impact.  

This study aims to determine the influence of work discipline and incentives on employee performance at PT Sun Star Prima Motor Dealer Mitsubishi Siliwangi. The background of this research is based on the importance of internal factors such as discipline and incentivization in encouraging increased work productivity in the automotive sector, especially in the motor vehicle dealer environment. The research method used was quantitative with an associative approach, where data was collected through questionnaires distributed to 53 respondents who were permanent employees in the operational and administrative departments. The data analysis technique uses multiple linear regression to test the extent to which the variables of work discipline (X₁) and incentives (X₂) affect employee performance (Y). The results of the study show that work discipline has a significant positive effect on employee performance and the incentives provided, proven to have a significant and positive influence on performance improvement. Simultaneously, the two independent variables made a significant contribution to improving employee performance with a calculated f-value of 33.695 which means > f the table or 33.695 > 3.187 and a significance value of 0.000 which is smaller than 0.05 or 0.000 < 0.05. The conclusion of this study is that managerial efforts in improving work discipline and providing appropriate incentives can be an effective strategy in encouraging employee performance in the automotive dealer sector.

This study aims to evaluate the financial performance of PT. Matahari Department Store Tbk for the 2023–2024 period using financial ratio analysis, particularly profitability and liquidity ratios. The study applies a descriptive quantitative approach, utilizing secondary data from the company’s financial reports. Profitability ratios such as Net Profit Margin, Return on Assets (ROA), and Return on Equity (ROE), along with liquidity ratios including Current Ratio, Quick Ratio, and Net Working Capital Ratio, were used as indicators. The results show a significant increase in profitability ratios, indicating improved operational efficiency and asset utilization. Meanwhile, the liquidity ratios also improved but remained below the optimal level, suggesting that the company still faces challenges in meeting its short-term obligations. In conclusion, PT. Matahari has demonstrated enhanced profitability but needs to strengthen its liquidity position to ensure financial stability.

The Indonesian retail industry has experienced significant changes during the 2020-2023 period, starting with the Covid-19 pandemic in early 2020. Although it is gradually showing signs of recovery, the companies have felt a huge impact, such as many stores closing, increasing operational costs, and decreasing consumer spending, which are challenges for retail business actors to maintain their business continuity. This study aims to determine the factors that can be predictors of the financial distress of retail industry companies in Indonesia. The sample in this study was retail industry companies listed on the Indonesia Stock Exchange for the 2019-2023 period and had complete financial reports, resulting in 10 companies. Data analysis uses the logistic regression method. The results of the study show that the debt-to-equity ratio (DER) and return on asset (ROA) have a significant effect, while the current ratio (CR), total asset turnover (TATO), and operational cash flow margin (OCF margin) do not have a significant effect on financial distress. Thus, retail industry companies can utilize debt as a financing strategy to accelerate growth and need to focus on efficient asset utilization so that they can increase revenue and profit margins in order to achieve better financial performance and reduce the risk of financial distress.

In the era of globalization and rapid technological advances, the scope of operational management is increasingly expanding. In facing global competition, companies must be able to face challenges in their operational management. The purpose of this study is to determine the factors that influence organizational performance through operational efficiency and employee productivity. The population used is all employees at PT. XYZ with a total of 107 employees. The sampling technique used in this study is a saturated sample where all members are filled in as samples in the study as many as 107 employees. This study uses the SEM (structure Equation Modeling) method with the AMOS tool. The results of the study indicate that the Work Environment has a significant effect on operational efficiency. Employee productivity, and organizational performance. Human resource management has a significant effect on operational efficiency, employee productivity, and organizational performance. Information systems have a significant effect on operational efficiency, employee productivity, and organizational performance. Operational efficiency has a significant effect on organizational performance. And employee productivity has a significant effect on organizational performance.

The implementation of Hospital Management Information Systems (SIMRS) has become a strategic necessity to improve healthcare service quality and operational efficiency. This study focuses on evaluating the performance of SIMRS in the outpatient registration unit of Nur Hidayah Hospital Bantul, where system disruptions, inconsistent SOP application, and limited user training were identified as core issues. The research aims to assess how well the SIMRS aligns with the Human, Organization, and Technology components through the HOT-Fit model framework. A descriptive qualitative method was employed using purposive sampling to select five informants directly involved in SIMRS operations, including registration officers, IT staff, and the head of the medical records unit. Data were collected through in-depth interviews, direct observation, and documentation, and analyzed thematically based on the HOT-Fit model. The findings show that SIMRS contributes positively to workflow efficiency and data management; however, human factors such as inconsistent training and input errors remain prevalent. Organizational support is visible but lacks structured evaluation routines, and although the technological infrastructure is generally stable, peripheral device and network issues persist. The study synthesizes that effective SIMRS performance requires not only technological readiness but also consistent organizational commitment and continuous human resource development. It concludes that strengthening user competence, formalizing SOP usage, and improving infrastructure are essential to optimize the system's functionality and alignment with the HOT-Fit model.

This study aims to analyze the relationship between data analytics utilization and the performance improvement of Meta Platforms Inc., particularly through its Instagram platform. In the digital era, data has become a strategic asset that enables companies to understand user behavior, optimize marketing strategies, and develop innovative products and services. Using a qualitative case study approach, this research illustrates how Meta leverages Instagram analytics—through audience segmentation, campaign effectiveness evaluation, and user insight-driven feature development—to enhance operational efficiency and profitability. The findings show that the use of data analytics not only increases advertising effectiveness and return on investment (ROI) but also strengthens Meta’s position as an innovation leader in the social media industry. The study also highlights the importance of data transparency and ethical practices in data usage, and recommends the development of more open and adaptive data infrastructure to meet evolving user needs.

This study aims to evaluate the operational efficiency of PT Asuransi Jasa Tania Tbk in 2023 using the operating expense to revenue ratio (Expense Ratio). The data used is the company's financial statements for the year ended December 31, 2023. The results show that PT Asuransi Jasa Tania Tbk successfully improved its operational efficiency significantly, with a decrease in the Expense Ratio by 17.24% to 48% compared to the previous year. This efficiency improvement was driven by strong net premium income growth, effective operating expense control, and investments in digitalization. Compared to the general insurance industry average in Indonesia, PT Asuransi Jasa Tania Tbk demonstrates a better level of efficiency. These findings highlight the importance of operational efficiency for the profitability and competitiveness of insurance companies, as well as the relevance of technology adoption in enhancing efficiency. Practical and theoretical implications are discussed.