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Does ESG Risk Rating Matter for Firm Value in Indonesia? Testing the Interaction Effect of Firm Size: JEL Classification: G30, G32, G34
No full textThis study aims to analyze the impact of ESG Risk Rating, profitability, and growth opportunity on firm value. Given the ongoing debates surrounding ESG research in Indonesia, a more in-depth examination is required. The researcher has developed three econometric models to test six hypotheses related to this issue. This research is distinct from previous studies as it proposes an integrated model incorporating firm size as a moderating variable. The estimation model was tested using moderated regression analysis (MRA), with data comprising 240 observations over the period 2019-2024. The analysis results indicate that ESG Risk Rating in Indonesia does not have a significant impact on firm value. However, profitability and growth opportunity exhibit a significant positive effect on firm value. Further, the interaction model analysis reveals that firm size moderates the relationship between growth opportunity and firm value. These findings suggest that, at present, ESG Risk Rating information in Indonesia is not considered relevant by investors in assessing corporate performance
Influence of Risk Management and Income Diversification on Bank Profitability in Indonesia: JEL Classification: G21, G32, E44, G28, M41
No full textThis study aims to examine the effect of risk management and income diversification on the profitability of conventional banks in Indonesia during the 2020–2024 period. Profitability is measured using indicators of operational efficiency and the bank's ability to generate margins through intermediation. The independent variables include credit risk, liquidity risk, bank capital, operational risk, and income diversification as a strategic factor. The research applies a quantitative method with secondary data obtained from the annual financial statements of conventional commercial banks listed on the Indonesia Stock Exchange. The banks were selected using purposive sampling based on data completeness and consistency throughout the observation period. The analysis results show that liquidity risk has a significant negative impact on profitability, while bank capital and operational risk have a significant positive effect. In contrast, credit risk and income diversification do not have a statistically significant influence on profitability. These findings provide an in-depth understanding of how each risk-related variable and income structure aspect contributes to the financial performance of banks. The study concludes that effective risk management and strategic capital utilization play a critical role in improving bank profitability, while income diversification alone may not be sufficient without aligned risk mitigation efforts. This research offers practical implications for bank management in strengthening risk-based decision-making, for investors in assessing financial resilience, and for regulators in formulating stability-focused policies in the national banking sector
A Survey of Soft Robot Actuation, Sensing, and Application
Get PDFBecause of their fundamentally high adaptability, high compliance, excellent flexibility, and safe and natural interactive features, soft robotics technologies are pointing the path toward robotic capabilities that are essential for a wide range of applications, including manufacturing, manipulation, gripping, human-machine interaction, locomotion, and more. Soft robots are incredibly versatile and lightweight, making them ideal for interacting with delicate things and navigating unstructured spaces. Soft robots have not yet reached their full potential, though; in many aspects, including manipulation and movement, nature still possesses considerably greater sophistication. Future research should concentrate on comprehending the concepts behind the design and operation of soft robots in order to identify what constrains the way they function and impedes their transfer from the lab to real-world settings. Through an analysis of the operation of sophisticated actuation and sensor technologies, this paper offers a current overview of the area. Lastly, examples of the different soft actuators and possibilities for future development are reviewed, along with a number of prospective implementations
Identification of Waste in Outsole Production Process Using Waste Assessment Model and 5W 1H Method
Get PDFUD. Santoso is a small and medium industry (IKM) engaged in the production of footwear, especially outsoles. In the production process, UD. Santoso faces various problems that result in waste such as: high percentage of defects, production not in accordance with market forecasts, long machine setup, long distances between rooms, and inefficient movement of materials. The company also realizes that the outsole production process is not efficient and there is a lot of waste. This study aims to identify the type of waste that occurs using the waste assessment model method, as well as provide recommendations for improvement to improve production efficiency with 5W1H analysis. From the results of the analysis, it was found that the three highest types of waste were the main causes, namely: motion (19.34%), which was caused by the distance between the production warehouse and the storage was quite far. Second, over-production (16.90%), caused by over-focusing on machine capacity and inaccurate forecasting. Third, defects (16.79%), caused by incorrect drawing techniques. As a solution, companies are advised to make more effective layouts, set production targets, and provide training in withdrawal techniques
Woven Bag Production Scheduling With Heuristic Pour Algorithm and Earliest Due Date
No full textPT. XYZ is a company engaged in manufacturing, especially in producing woven bags, which are plastic sacks made of Polypropylene (PP). PT. XYZ faces the problem of too long makespan time in the application of the First Come First Serve (FCFS) method. Although considered simple, FCFS is less efficient in complex production, especially with variations in processing time. As a result, jobs with longer processing times are often prioritized, resulting in delays in shorter jobs. This causes a longer total completion time and requires the implementation of a more efficient scheduling method to minimize makespan and improve production performance. The purpose of this study was to determine the optimal woven bag production job and to reduce makespan and delays in woven bag production with the Heuristic Pour Algorithm and Earliest due date (EDD) at PT. XYZ. From the calculation results using the first come first serve method with the job sequence 1-2-3-4-5-6, the total makespan value was 33119 or 551 hours 59 minutes. Meanwhile, the calculation using the heuristic pour algorithm method and Earliest due date (EDD) obtained the sequence of jobs 3-2-4-1-6-5 with a total makespan of 28528 minutes or 475 hours 28 minutes. The calculation using EDD also showed a decrease in lateness for each job, where the lateness of job 3 was the smallest, namely -10 days with a due date of 17 days. Based on this research, the percentage decrease in makespan value was 13.86%
Implementation Lean Warehousing Using Waste Assessment Model (WAM) Method
Get PDFWarehouses play an important role in maintaining product quality until the product is delivered to consumers. The many important activities in the warehouse require companies to improve their performance to be effective and efficient in order to maintain trust. ABC Company is a private company engaged in civil construction, landfilling, cut and fill, heavy equipment rental, and spare part distributor. In warehousing activities, there are various activities that don’t have value added or waste. This study aims for identify waste and provide recommendations for improving warehousing activities. The implementation of Lean Warehousing is carried to identifying the warehousing flow process with Value Stream Mapping (VSM), then identifying 7 wastes that occur in the warehousing process using the Waste Assessment Model (WAM) method. The results of the study showed that the waste with the highest percentage level was waste inventory (I) waste overpurchase (O) waste defect (D). From the proposed improvements and Future stream mapping, it was found that the lead time was reduced to 544 minutes, which eliminated 200 minutes of non- value added activity. So that activity increased by 27% from the initial condition
Comparison of AlexNet and ResNet50 Model Performance in Classifying Images of Indonesian Traditional Food
Get PDFImage classification using deep learning has become an effective approach in various fields, including visual object recognition such as food identification. This study aims to compare the performance of two well-known Convolutional Neural Network (CNN) architectures, AlexNet and ResNet50, in classifying traditional Indonesian food images. The dataset used in this research is a combination of two sources: a traditional Indonesian cake dataset from Kaggle and an additional set of images of Cirebon's traditional dishes. The final dataset consists of 24 food categories with more than 4,000 images in total. Each image was preprocessed through several steps including resizing to 224x224 pixels, applying data augmentation to training samples to enhance variation, and normalization based on standard input formats of the models. The training process was carried out using the 5-Fold Cross Validation method, while performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results show that ResNet50 consistently outperformed AlexNet across all evaluation metrics. ResNet50 achieved an average accuracy of 92%, compared to 86% obtained by AlexNet. Additionally, ResNet50 demonstrated superior performance in terms of precision, recall, and F1-score. This difference indicates that deeper and more complex architectures like ResNet50 are more effective in learning visual patterns in diverse traditional food images. The study concludes that ResNet50 is a more optimal choice for the task of traditional Indonesian food image classification. These findings serve as a basis for future development of image-based food recognition systems and support the preservation of culinary heritage through artificial intelligence technology
Factors Causing Disparity in Judges' Decisions in Narcotics Cases
Get PDFThis study aims to analyze the factors that cause the disparity in judges' decisions in narcotics cases in Indonesia. The disparity of judges' decisions refers to the difference in the results of decisions between one judge and another in similar cases. The factors that cause this disparity can come from various aspects, both internal and external, that affect the objectivity of the judge in giving the verdict. Some of the factors found include differences in interpretation of the law, the social and cultural background of judges, as well as pressure from the public and the media. In addition, the subjectivity of judges and inconsistency in the application of legal provisions also play a role in creating injustice in the criminal justice system. This study uses a qualitative research method with a literature study approach and interviews with legal practitioners. The results of the study show that the disparity in judges' decisions in narcotics cases can be minimized by having clear standard operating procedures (SOPs), increasing the capacity of judges in understanding narcotics cases, and providing more intensive professional ethics training. The study also suggests the need for tighter supervision of judges' decisions to ensure that every decision taken is in accordance with the principles of justice and applicable law
Relationships between Clinical Outcomes of Coronary Heart Disease of Covid-19 Vaccinated Patients with Hypertension
Get PDFThe effects of COVID-19 vaccination on conventional cardiovascular risk rankings for heart disease patients after inoculation need further investigation especially within Southeast Asian medical settings. The research explored hypertension effects on clinical results in CHD patients after receiving COVID-19 vaccinations at a Jakarta referral hospital in Indonesia. Research investigators conducted an observational cohort study by gathering retrospective and prospective data from January 2022 until May 2024. The clinical investigation evaluated 110 vaccinated patients who had CHD while examining population characteristics, blood pressure status, and their ultimate outcomes between survival and fatal termination. The research included statistical methods that combined Chi-square and Fisher's exact tests for categorical data analysis along with t-tests for age analysis, one-way ANOVA for subgroup analysis, Pearson correlation and binary logistic regression.. Out of the 110 patients screened for hypertension the condition was observed in 93.6%. Among hypertensive patients survival rates reached 91.3% whereas non-hypertensive patients demonstrated survival rates of 57.1% (p = 0.027). Age proved significant as a predictor of mortality and recovery duration through continuous analysis (p = 0.035; β = 0.42, p = 0.002) even though results were non-significant when patients were grouped as <60 and ≥60 years (p = 1.000). The analysis from logistic regression showed that hypertension worked as a positive predictor for patient survival with an OR of 5.33 (95% CI: 1.02–27.79) and p = 0.047. The vaccine acts as an acute disease protector yet changes but does not completely eliminate existing cardiovascular disease susceptibilities
Posyandu Information System in Payaman Village to Optimize Web-Based Health Services for Toddlers and the Elderly
Get PDFThe information system at Payaman Village Posyandu is currently still done manually by recording data using paper, making it vulnerable to errors in data processing and storage. This approach is less efficient, especially in managing registration data for toddlers and the elderly, as well as recording health history which is often not well documented. To overcome this problem, a website-based information system was developed which aims to increase efficiency and accuracy in the Posyandu administration process. This system is designed to make it easier to register participants, monitor the growth of toddlers and the health of the elderly in a more structured and well documented manner and carried out well by staff. The main users of this system are posyandu officers and village midwives who have access to health data and patient examination history. This system was built using the Waterfall software development method, with PHP and MySQL-based technology as the database. This system allows online registration to be carried out by Posyandu officers, central management of health data, and automatic creation of health history recapitulation reports. With this system, the Posyandu service process can be carried out more effectively, efficiently and transparently. In addition, the data stored in the system can be used for more accurate analysis of village community health. The implementation of this system is expected to improve the quality of health services at the Payaman Village Posyandu, reduce the risk of recording errors, and provide benefits for health workers in monitoring patient conditions on an ongoing basis