Human error can be prevented by measuring human reliability through the Human Reliability Assessment approach. PT A is a national scale salt producer that produces salt. The quality division identifies human error problems made by operators in the salt refining process. This study aims to identify, calculate probability values, and provide recommendations for improvement to reduce human error in salt refining production operators. HEART and SHERPA are research approaches used because they are considered the most suitable for this study. The results showed that the most visible human error for the error mode category was C2, incomplete checking, and 42 error modes because the operator infrequently did a complete check. The process with the highest Human Error Probability value is the drying process 1, with a value of 7.49. In contrast, the process with the most minor Human Error Probability value score of 0.085 is the bagging process 2. Human error prevention efforts are carried out for each process based on the highest score on the Human Error Probability Index, including Personal Protective Equipment, Standard Operating Procedures, and training to improve operator skills.

Garment production with men's jacket products still finds products with poor quality and a high percentage of defects. The method used in this study is the PDCA approach with seven quality tools. The purpose of this study is to determine the cause of defects, provide solutions to repair these problems by reducing product defects, and reduce the percentage of dominant defects in the Finishing section. This study found that the factors causing the damage were human, machine, method, material, and environmental factors. Meanwhile, improvement efforts are contained in the Action stage, namely 5W+1H. The results of these improvements have an impact on the reduction of finishing defects from 17.8% to 11.8% which means a decrease in defects by 33.7% every month in the finishing section. The implications of this research can be used as a reference to reduce similar problems in the garment industry process. The combination of the PDCA approach and seven repair tools results in a defect percentage control system using a control chart so that defects will be controlled and corrective actions will be taken quickly.

Horseshoe is used to avoid the failures of horse's hooves due to extreme impact and wear loads. The horse's hooves are repeatedly subjected to loadings during walking, trotting, running and jumping. In this research, we introduce a newly developed horseshoes made of polymeric composite materials. The horseshoes are placed inside the leather boot; it is a specially designed for horse. The process of making horseshoes and horse boots were discussed and the responses of the horse shoes as well as horses were analyzed. The horses were subjected to a series of testing, e.g., walking, trotting, and running. The result of the tests indicate that horseshoes and horse boots are quite strong, light, and safe to be used on horses. The response of horses shows that the horseshoe and boots are quite comfortable for them. This can be seen because there are no significant behavioral changes of the horse before and after wearing the boot. After being used to, it was shown that there is no damage or crack of the horseshoe. Therefore, it can be concluded that the composite horseshoe is safe and good to be used as horseshoe material.

The workforce has an important role in increasing production at PT. XYZ. The contribution of labor is interpreted into the resulting productivity. Therefore, it is important to know what variables can affect labor productivity. in this study using work discipline variables to see its effect on employee productivity. The results obtained that work discipline has a positive and significant effect on employee productivity, which is 66.70%. and 33.30% possibility of being influenced by other variables not included in this case.

Asset management is needed in asset inventory. The preparation of an asset inventory is taken into account the aspects of asset management and risk management. The measurement results with SEM obtained APC values and values < 0.05 and AVIF < 5 so that the relationship between the criteria for asset management and risk management has a significant effect on the design of asset information systems. Measurement of risk management obtained 4 critical risks that affect the design of asset information systems. One of the asset information systems that meet the criteria of being integrated, easy to manage, and easy to update the data is a QR code-based check sheet. Its use in a small scope is easier to implement than using a database system.

The success of an organization or company in carrying out tasks with the aim of realizing the company's vision, mission, and goals can be seen from the performance of its human resources. So far, PDAM Tirtanadi's employee performance measurement is still focused on the financial aspect and based on a preliminary questionnaire, employee performance is in the poor category. So that this research has the aim of designing indicators and measuring employee performance with the Human Resource Scorecard (HRSc) approach. HRSc is a performance measurement based on 4 perspectives, namely finance, employees, internal business processes, and growth. From the results of data collection and processing, 16 indicators and 18 key performance indicators (KPI) were obtained, so that by using the Likert scale method and questionnaire in each perspective, the measurement value was 3.385 with a less category.

This article aims to address the impacts that companies can have with the application of machine learning to carry out their demand forecasts, knowing that a more accurate demand forecast improves the performance of companies, making them more competitive. The methodology used was a literature review through descriptive, qualitative and with bibliographical surveys in International Journal from 2010 – 2022 by different authors. Findings show that the references prove that demand forecasting with the use of machine learning brings many benefits to organizations, for example, since the results are more accurate, there is better inventory management, consequently customer satisfaction for having the product at the right time and place. Further, this article concludes and suggests that the use of machine learning is able to identify variables that affect the demands, with this it makes a forecast closer to reality and helps managers to make more accurate decisions, improving strategic planning and supply chain management. of company supplies.

A flood is natural disaster that often occurs in many regions. Flood has a significant impact on the nature conditions, local communities, and regional economic losses. The flood can happen due to a damaged environmental system; therefore, it needs deeper study and extra effort to prevent it. Thus, an appropriate and right Disaster Relief Operation (DRO) is needed in responding to flood disaster. In this research, 50 articles categorized in "flood disaster relief operation" published in the range 2012 to 2022 have been reviewed. This review is conducted by using the Systematic Literature Review (SLR) method. This study aims to explore and analyze flood DRO. The findings reveal that the flood DRO still has several weaknesses in the current system that should be improved: the lack of an integrated information system, not enough collaboration of the stakeholders, the lateness of information exchange, and unplanned relief operations through the preparation. For further research, it is recommended to implement the proposed system in the relief operations execution.

Prevention of Covid-19 is important for research in order to reduce positive cases that occur in Indonesia. One of the popular research is using analytical method. The purpose of this study was to determine the relationship between work activity behavior, government and community regulations and social distancing as a mediator in preventing an increase in Covid-19 cases in West Java. This research method uses path analysis model. Social distancing variables directly have a positive and significant impact on preventing positive cases of Covid-19, meaning that with social distancing the spread of the Covid-19 virus can be reduced. The effect of social distancing on the prevention of positive cases of Covid-19 is 87% and the remaining 13% is due to the influence of other factors. Based on the four variables used as predictors of the prevention of Covid-19 cases, the social distance variable is the strongest variable that affects the prevention of positive cases of Covid-19 compared to the other three variables. Social distancing is very important to reduce the spread of Covid-19 cases. The implication of this research shows that awareness of people's behavior by keeping a distance is very important to prevent the Covid-19 virus.

Rapid technological developments have led to increasingly fierce competition, especially in the coffee industry. PT XYZ as a company engaged in the processing of coffee beans must continue to improve the quality of products in order to continue to compete. However, in the last 3 years there has been an increase in the number of defective coffee beans, in 2020 by 21.4%. This thesis discusses how to reduce the level of coffee bean defects by using the quality improvement method by following the stages in six sigma, and looking for the causes of these defects. The calculation results obtained that the DPMO at PT XYZ is 0.1790 and the sigma value is 2.42. Factors causing the increasing number of defective coffee beans are materials, machines, and the environment. Some of the solutions are to check the time of purchasing raw materials from farmers before buying raw materials from collectors, make and schedule routine inspections of machines or replace machines that are not suitable for use, provide training to operators and make SOPs and work instructions for each job. stations, Purchase of water content detectors for coffee raw materials, and add a green house.