This research aims to collect data nationally using a questionnaire based on statements related to the performance factors of the Technology Business Incubator in Indonesia. This research uses the Structural Equation Modeling (SEM) method to test the validity and reliability of adapted scales. There are five stages starting with an outer model test to test the validity and reliability of the questionnaire's feasibility. The population in this research are organizations that are affiliated with the Indonesian Business Incubator Association (AIBI) and Ministry of Research, Technology and Higher Education, including business incubators belonging to ministries, local governments, the private sector and universities, there are 182 Technology Business Incubators in Indonesia. Testing in this research looks at whether the questions in the questionnaire are valid or not by going through two stages of convergent validity and discriminant validity. The first stage is convergent validity that aim of finding out the correlation between indicators and their latent variables. The second stage is discriminant validity which aims to find out whether the latent variable has adequate discriminant value and this was done to find out whether the statement items in the questionnaire were reliable and consistent in measuring the same symptoms in respondents. This research looks at the results of convergent validity analysis to consider the results of factor loading indicators on relevant factors, the results of testing the validity of all factors with a value greater than 0.50, one of which is an AVE value of 0.550, indicating that the indicators in these variables have a strong contribution in measuring the desired construct, and the reliability test of all variables is reliable because it exceeds 0.70, one of which is the facility variable which has a value of 0.858.

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.

Inventory control is a very important issue. It is because the amount of inventory will determine or affect the smoothness of the production process as well as the effectiveness and efficiency of the company. PT Semen Padang is a manufacturing company that produces 10,400,000 tons of cement per year. The achievement of the cement production target at this company depends on the availability of raw materials needed in the cement production process itself. Gypsum is an additional material of the cement production process which is very important because it is a raw material that must exist in the process of making cement. So, if the inventory of gypsum cannot meet the needs of production, then the production process of cement making will be disrupted. PT Semen Padang is using the Min-Max method for inventory control. But the costs are quite high. The cost of inventory can be minimized by using another method such as EOQ (Economic Order Quantity). The conclusions of this research are in 2016 by using EOQ method, the optimal order quantity is 32,073 ton per order, and the frequency is 9 times in a year with total cost Rp. 4,757,673,813.48, and in 2017, the optimal order quantity is 34,856 tons per order and the frequency is 9 times in a year with total cost Rp. 9,694,805,608.36.

The research focus on reducing the number of occupational accidents by finding the root causes of work accidents and optimize the implementation of Health and Safety values in PT X. The possibility of risk identified using Failure Mode and Effect Analysis (FMEA) and analyze it by calculating Risk Priority Number (RPN). A list of critical risk then developed through calculation of total RPN value ratio. The cause of the accidents are analyze systematically using Fault Tree Analysis (FTA). Based on the largest RPN value on FMEA, the most dominant failure mode with the most dominant effect of the cable / source of electrical current is not in a safe condition with fire effects and operators work is not appropriate SOP with work accident effect (RPN : 172.99). FTA are designed to have 3 failures are fire failures, work accidents, and operators do not use personal protective equipment. Each FTA that has been designed contains a chart that is the cause and effect of an event.

Community development elderly is a community managed by the non-government organization (NGO) with obtaining the funding from several sources involving government, donations and own community. Currently, there are many activities related to physical fitness for elderly people such as gymnastics, physical leisure activities, and other social activities. Nevertheless, older adults have many threats of illness that could have appeared suddenly. Thus, it needs a series of activities to prevent the emergence of disease. This study aims to determine appropriate programs of older adults based on illness complaints through analyzing the medicine inventory. This study combined ABC and VED analysis of inventory model in supporting healthcare consulting services for a community development elderly in Indonesia. The application ABC analysis found some item from three categories consisting category A of 33 items, category B of 26 items and Category C of 26 items. Then, VED analysis classification of medicine into seven items of Vital, 12 items of Essential and 12 items of Desirable. Thus, the result of a healthcare consulting service was obtained that older adults needed 31 types of medicines. The finding of this study also showed that the high frequency of illness complaints from older adults related to problems of Neurological, Hypertension, and Musculoskeletal. The implication of this study proved that the community development elderly must consider providing the priority programs of healthcare consulting services focus on three main problems of older adults. Further study is suggested to implement safety stock and reorder point for providing medicine inventory.

In the context of rapid technological advancement and the global rise of entrepreneurship, business incubators have become essential mechanisms for supporting technology-based startups, particularly in emerging economies. These incubators play a strategic role in bridging resource gaps, fostering innovation, and enhancing the survival and growth of early-stage ventures. Despite their increasing importance, there remains a limited understanding of how incubator performance directly influences startup outcomes. This study addresses that gap through a comprehensive bibliometric analysis of 920 scholarly articles published between 2010 and 2022, sourced from Scopus and Google Scholar. Using VOSviewer, the analysis identifies key research trends, influential publications, and thematic clusters related to incubator performance. The findings reveal a significant increase in research activity over the past decade, with a peak in 2018, and a strong concentration of publications in journals focused on technology transfer and innovation management. Prominent themes include academic entrepreneurship, incubator performance, technology transfer offices, and the role of innovation ecosystems involving academia, industry, and government. These themes highlight the multifaceted nature of incubator success and the importance of cross-sector collaboration. The study also emphasizes the need for integrated evaluation frameworks to enhance incubator effectiveness and guide institutional and policy-level strategies. The novelty of this research lies in its synthesis of bibliometric insights to propose future research directions and methodological improvements for assessing incubator performance. By mapping the intellectual landscape of incubator research, this study contributes to a deeper understanding of how incubators can be optimized to support sustainable startup development and economic growth in emerging markets.