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The rapid evolution of technology has reshaped the global economy, intensified competition, and prompted industry players to embrace innovation to maintain sustained competitiveness. In Indonesia, business incubators, overseen by universities and provincial/city governments, are pivotal. However, understanding the determinants of business incubator performance remains limited. This study investigates 24 statement items aiming to uncover the factors influencing technology business incubators in Indonesia, focusing on knowledge management as a mediating variable from a knowledge-based perspective. Employing a quantitative approach, structural equation modeling (SEM) is utilized to scrutinize these factors’ impact on business incubator performance. The findings reveal that knowledge management serves as a full and partial mediator among funding support, government assistance, incubator governance, and business incubator technology performance. This research offers valuable insights for entrepreneurs and stakeholders by emphasizing the significance of funding, governmental backing, incubator governance, and knowledge management in enhancing incubator business technology performance in Indonesia.

As one of the leading cement companies in Indonesia, PT Semen Padang is known for its extensive distribution network. As the largest cement factory, the employees at this company engage in work that requires a high level of physical and mental effort. Although the tasks performed by the employees may be similar, the experience of psychological workload can vary greatly among them. The TPM (Total Productive Maintenance) and AFR (Alternative Fuel and Raw Material) departments in the company have several routine activities carried out daily. The numerous job demands that require physical exertion within limited time constraints can lead to a high workload level for employees in TPM and AFR. This workload is not limited to physical aspects but also includes psychological impacts that can disrupt employees’s concentration and performance. In this study, questionnaires were given to 7 employees from TPM and 7 employees from AFR. Based on the research conducted on physical workload using the CVL method, AFR employees experienced more physical workload compared to TPM employees. In terms of mental workload, using the NASA-TLX method, both TPM and AFR employees had 2 employees each with very high mental workload.

This study addresses the frequent disruptions in PT X, the first cement factory in Indonesia, which affect its productivity and quality. The main problem involves the frequent stoppages of key machinery such as raw mills, kilns, cement mills, and especially coal mills, which are crucial for combustion processes. In 2021, the 6K1 coal mill experienced 384 hours and 38 minutes of downtime, with the Rotary 6K1A03 component being the most problematic, causing 205 out of 359 total disruptions. The Failure Mode and Effect Analysis (FMEA) method was employed to analyze these disturbances. The analysis revealed a critical Risk Priority Number (RPN) value of 5.148, with eight factors exceeding this threshold, including the high current in Rotary 6K1A03, with RPN values of 90, 35, 25, 24, 9, 8, and 6. These critical factors are prioritized for intervention. Consequently, it is imperative to implement management and risk mitigation strategies to address these issues and enhance the operational efficiency of the factory.

Type of the article: Research Article This study investigates the determinants of technology business incubator (TBI) performance in Indonesia using the Resource-Based View (RBV) framework. Startups play a vital role in fostering innovation, yet their sustainability is often challenged by weak managerial capacity, limited access to finance, and fragile networks. Business incubators are designed to mitigate these barriers by providing infrastructure, mentoring, and strategic connections, but their performance varies widely. This research aims to identify which internal and external resources most strongly influence incubator outcomes in the Indonesian context. A quantitative design was employed, with data collected from 100 incubators across government, university, and private institutions. Structured questionnaires were administered to incubator leaders and managers, and responses were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The constructs examined included infrastructure, networking, incubator capabilities, and linkages with universities, with measurement validity and reliability confirmed through composite reliability, average variance extracted (AVE), and discriminant validity tests. The findings show that networking (β = 0.417, p = 0.001) and infrastructure (β = 0.342, p = 0.012) have significant positive effects on incubator performance. In contrast, incubator capabilities (β = 0.162, p = 0.119) and linkages with universities (β = 0.087, p = 0.263) were statistically insignificant, indicating these resources may not directly enhance performance in the current Indonesian setting. The study contributes theoretically by reaffirming RBV as a robust framework for explaining incubator success in emerging economies. Practically, it highlights the priority of investing in strong networks and quality infrastructure to strengthen incubators and accelerate the growth of Indonesia’s startup ecosystem.

The increasing development of the industry makes every industry have to compete with other competitors to gain an edge. The advantages of competition are influenced by several factors, one of which is good human resource management. Where if a company has good human resources, it will increase profits indirectly and can increase productivity. This research discusses case studies about the potential dangers of IKM Heppy Bakery’s potential dangers that can harm workers in bread production. The method used is Failure Mode And Effect Analysis (FMEA). Later, the data will be filled and given a rating distinguished into three parts: severity, occurrence, and detection. The data were obtained through questionnaires given to 3 workers at IKM Heppy Bakery and filled in rating values based on the provisions that have been given to the questionnaire. This Value helps determine the Risk Priority Number (RPN) obtained from multiplication between severity, occurrence, and detection. After processing the RPN multiplication data, the highest RPN value was obtained by 193 with the danger factor of the operator overheating and dehydrating due to high temperatures. Furthermore, the calculation of critical Value was obtained by 109. Based on the critical Value obtained seven hazard factors above the critical value, these seven hazard factors need to be improved so that workers do not avoid accidents when conducting the production process.

The purpose of this study is to investigate the gap between perceptions and expectations of users on the services of West Sumatera Province Library as a public sector and determine the priority level of the requirements for the library in order to improve the quality of services based on the dimensions of the service quality. This was done using Servqual and Quality Function Deployment (QFD) method. It was found that, from overall attributes, only one attribute fulfills users’ expectations (it has a positive gap), tangibles element for the attribute of cool air circulation. The ranking of the gap, for all dimensions, is the dimension of responsiveness, assurance, empathy, tangibles and reliability. It indicates that users’s expectations were not being fulfilled yet. The main benefit of this research is to understand user’s perceptions and expectations towards the services provided and to obtain the improvement priority to be taken by the West Sumatera Province Library.

A startup is an institution that develops new, technology-based innovative products. PT Aplikasi Kriya Pratama is a startup company operating in the fields of education and health tech businesses. Typically, startup companies are still in the development stage, and as a result, many of these startups experience failures. Therefore, risk management is necessary, involving the identification of uncertainties, risks, and potential impacts that may occur at PT Aplikasi Kriya Pratama in the education field. The purpose of this research is to propose prioritized risk mitigation actions at PT Aplikasi Kriya Pratama. The methods used to assess risks are Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). FMEA is a structured procedure for identifying and preventing as many failure modes as possible, while FTA is a technique commonly used for studies related to the reliability risk of an engineering system. The expected outcome of this research is to assist PT Aplikasi Kriya Pratama in reducing the exposure to prioritized risks that could potentially impact the company.

Lassy is one of the small medium enterprises which produces processed dairy cattle, located in West Sumatra. The number of demands that tends to increase and the superiority of products without preservatives supports Lassy Dairy Farm to expand more widely. To increase the number of products, product quality and expand the marketing area of the product in order to be able to compete with similar products, proper business strategy planning is required. This study aims to design a new business model at Lassy using the Business Model Canvas (BMC) method and SWOT analysis. IE matrix results show that Lassy rank is at cell IV, which means that Lassy is in a growing and developing state. The strategy that can be carried out by Lassy Dairy Farm is based on the results of the SWOT matrix with an intensive strategy, an integration strategy, and a diversification strategy. The main strategy that Lassy can do is intensive strategy with a total score of attractiveness of 7.272. This intensive strategy is illustrated in the business model in the proposed Business Model Canvas.

Increased energy consumption can lead to depletion of fossil energy reserves that can pose a threat to energy supply in Indonesia. One way to increase the intensity of energy savings is to make changes in consumer behavior. The development of gender roles, abilities, and attention led most researchers to argue that women are more consistent in attention to environmental change than men. Women are more concerned with environmental quality and participate in environmental activities. Thus, this research tries to determine the influence of psychological factors on the behavior of household electrical energy consumption in term of gender differences. This study used questionnaires distributed using Google Docs to household electrical respondents several in Indonesia. Referring to ABC (Antecedents-Behaviour-Consequences) model of consumer behavior, the total of 808, questionnaires from 526 male respondents and 282 female respondents were successfully collected. The data were processed by the Partial Least Square Equation Modeling Model (SEM-PLS) using Smart-PLS software. The study concluded that,if given the consequences, women have higher influence to the behavior of electrical energy consumption than men. Overall psychological factors have a positive and significant influence on the behavior of electric energy consumption in Indonesia.