The Influence of Intellectual Capital on Innovation Performance: The Mediating Role of Knowledge Sharing and Innovation Culture (A Study on Startups Fostered by UNS)

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This study examines the effects of intellectual capital on innovation performance mediated by knowledge sharing and innovation culture, focusing on startups fostered by Sebelas Maret University (UNS). The study evaluates the impact of human capital, relational capital, and structural capital on innovation performance, as well as the mediating roles of knowledge sharing and innovation culture. The findings reveal that human capital has a positive but insignificant effect on innovation performance, while relational and structural capital show positive and significant effects. Human capital, relational capital, and structural capital have a positive and significant influence on knowledge sharing. In the context of innovation culture, human capital and structural capital have significant effects, while relational capital has no significant impact. Knowledge sharing serves as an important mediator in the relationship between human capital and innovation performance, although its role is weaker for relational capital and structural capital. Conversely, innovation culture shows limited mediating effects on innovation performance, with structural capital being the main contributor to fostering an ecosystem that supports an innovative culture. This study provides practical implications for startup managers, emphasizing the importance of strategically leveraging intellectual capital. Recommended strategies include developing human capital through training programs, enhancing relational capital through strategic partnerships, and strengthening structural capital by implementing flexible and collaborative systems.

Intelligent Urban Systems and Industry 5.0: Creating Adaptive Ecosystems for Sustainable Energy and Resource Management

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The rapid urbanization and growing complexity of cities demand innovative approaches to resource management and sustainability. This study introduces an adaptive ecosystem model for intelligent urban systems, integrating Industry 5.0 principles to enhance energy and resource management. The proposed framework combines multi-agent systems, predictive analytics, and real-time optimization to address challenges in energy allocation, environmental impact, and urban resilience. The mathematical model incorporates cost and emission constraints, ensuring an optimal balance between economic and environmental objectives.

Simulation results demonstrate significant improvements in energy efficiency and reductions in carbon emissions, validating the model’s applicability across various urban scenarios. The study highlights the integration of IoT, AI, and big data as pivotal components in advancing the operational and decision-making capabilities of smart cities. This research contributes to bridging the gap between technology-driven solutions and human-centric urban planning, offering practical insights for policymakers and urban developers to foster sustainable growth in intelligent cities.

Some Basic Solutions to Improve the Effectiveness of Aesthetic Awareness Education for Students of Hue University

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Educating aesthetic awareness for Hue University students in the current period is an extremely urgent requirement, requiring the participation of all levels, sectors and the whole society. There must be fundamental solutions to improve the quality and effectiveness of aesthetic awareness education for students, thereby contributing significantly to the education of personality, ethics and lifestyle for Hue University students in the current period.

The Effect of Inflation, Economic Growth, and Leverage on Change in Profit: The Moderating Role of Interest Rate Levels at Regional and Branch Offices of PT. Bank Rakyat Indonesia (Persero) Tbk. in North Sumatra Province

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The amount of profit at PT. Bank Rakyat Indonesia (Persero) Tbk. In North Sumatra Province, Indonesia is still not optimal. The purpose of this research is to test and analyze the impact of various factors such as Inflation, Economic Growth, Leverage, and Interest Rates as moderating variables on Profit Changes. The population in this research is all financial reports of PT—Bank Rakyat Regional Offices and Branches in North Sumatra Province. Meanwhile, the sample in this research is PT’s financial report. Bank Rakyat Regional Offices and Branches in North Sumatra Province from 2018 to 2023, thus there are 6 Annual Reports. Researchers will utilize the data in the financial reports of the Regional Office and Branch Offices of PT Bank Rakyat Indonesia (Persero) Tbk. in the region as a research data source. The analysis process in this research was carried out using the Eviews. The findings of this research show that: Inflation has a negative effect and Economic Growth has a positive impact on Profit Changes. In addition, interest rates can only moderate the impact of inflation and leverage on changes in profits.

A Course-Based Qualitative Exploration of the Adaptive Capacities of Child and Youth Care Students Transitioning from First- to Second-Year Field Practicum

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Child and youth care students (CYC) perceive the transition from first- to second-year practicum as stressful and challenging and occasionally view themselves as not ready. Located within the constructivist–interpretive research paradigm, the aim of this qualitative course-based study was to gain greater insight into the transition process of CYC students from first- to second-year practicums with a focus on their adaptive capacities. A triangulation data collection method was used, comprised of conversational style, semi-structured interviews, a focus group, and art-based activity. Three main themes were extracted from the data analysis: (a) leaning into uncertainty, (b) being real, and (c) tapping into support systems.

The Use of Chat GPT in Assessing the Tourism Industry in the Island of Crete, Greece. A PESTEL Analysis

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The tourism industry in Crete, Greece is well developed nowadays hosting an increasing number of visitors every year. However, it is affected from various external factors which might reduce its attractiveness as a popular tourism destination worldwide. PESTEL analysis can facilitate the development of a strategic management plan for the local tourism industry. The PESTEL methodology analyzes the political, economic, social, technological, environmental and legal factors which affect the hospitality industry in the island.  Instead of using the opinion of tourism experts and tourism stakeholders the opinion of Chat GPT was used in the current study. The language model responded promptly and rapidly and its answers were further analyzed. Chat GPT identified four to five factors in each PESTEL category affecting the tourism industry in Crete. Its answers were almost similar with the opinion of several stakeholders regarding the external factors influencing the tourism in the island. The results of our study are innovative and useful while they could be used for the development of a strategic management plan for tourism in the island. This is necessary for the promotion of its sustainability and attractiveness as a global tourism destination. Our study could be useful to several stakeholders and policy makers of the tourism industry in the island in order to develop a strategic management plan for the hospitality industry in Crete.

Village Fund Direct Cash Assistance and Its Role in Poverty Reduction: An Empirical Analysis from Indonesia

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The study aims to find out and describe the effectiveness of the Village Fund Direct Cash Assistance program for the poor in Dungaliyo District. The research approach used is a qualitative method with a descriptive research method and a research procedure carried out by observation and interviews with informants. The data analysis technique used is an interactive analysis of the miles and huberman model. The results of the study show that the Village Fund Direct Cash Assistance Program (BLTDD) for the poor in Dungaliyo District, Gorontalo Regency has made a positive contribution in improving the welfare of people in need. The program has generally been running well although there is room for improvement, especially in target accuracy, socialization, and monitoring. A more holistic approach to implementation and evaluation can increase the effectiveness of the program, resulting in a more equitable and sustainable positive impact on the poor. The results of each sub-focus are: (1) the accuracy of the targets of the BLT Village Fund program in Dungaliyo District has been quite good with the efforts to improve recipient data carried out by the village government. While there are still challenges in reaching all poor families equally, the steps taken demonstrate a commitment to ensuring that assistance is received by those who really need it. (2) the socialization of the BLT Village Fund program in Dungaliyo District has been carried out through various information channels, including the village government and related officials. However, the implementation needs to be more intensive so that the public better understands the objectives, benefits, and mechanisms of the program. (3) the main purpose of the BLT Dana Desa program is to help poor families meet their basic needs and support the economic recovery of the village. In Dungaliyo District, this program has been quite effective in reducing the economic burden of the poor. (4) monitoring of the implementation of the Village Fund BLT program in Dungaliyo District has been carried out routinely by the village government and related parties. This effort is quite effective in ensuring that assistance is received by those who are eligible.

Validation of Applied Mathematics Exam Test Using Rasch Model Approach: Case Study in Diploma 3 Study Program of Refrigeration and Air Conditioning Engineering Politeknik Negeri Bali

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This study validates the Applied Mathematics exam (AME) test on Diploma 3 (D3) Study Program of Refrigeration and Air Conditioning Engineering (RACE), Politeknik Negeri Bali (PNB) to determine the validity, reliability, unidemensional, level of difficulty, and discriminatory power of the test. Validation uses the modern test theory approach of the Rasch model. Data were collected during the online final exam of the even semester of the 2023/2024 academic year. The instrument uses a multiple-choice test form with 5 answer options. The sample involved 73 even semester students of the D3 RACE study program who took applied mathematics courses. The data collected were analyzed using the Rasch Model assisted by the Winsteps application. The results of the analysis show that the AME test has an adequate level of validity, most of the questions meet the fit criteria for the Rasch Model. The level of test reliability is categorized as very good with a person and item reliability value of 0.90. Several questions still show misfits that require improvement. Item difficulty and person ability show a proportional distribution between the level of difficulty of the questions and the students’ abilities. Overall, the test’s discriminatory power is categorized as good, although there is one question that needs to be reviewed further for improvement. The implication is that the use of the Rasch Model in validating online test instruments can help teachers in compiling questions that are more valid, reliable, and in accordance with the level of student ability. The implication is that the application of the Rasch Model in validating test instruments can help lecturers in constructing more valid and reliable tests. The results of this study can be used as an empirical example of the application of the Rasch model theory to produce more valid and reliable measurements. It is recommended that the development of future test tests really needs to pay attention to the balance between the level of difficulty of the items and the abilities of the students, and ensure that the measurements are more valid and reliable, especially in the context of polytechnic education.

Quantification of Logging Residue from Harvesting of Rasamala Wood (Altingia excelsa)

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Logging residue is defined as the above-ground biomass left behind after log harvesting with a chainsaw, including branches, tops, and small trees that fall to the ground during the felling process. We investigated the logging residue from rasamala wood (Altingia excelsa) harvested in the Takokak Forest of Sukabumi Regency, Indonesia. The objectives of the study were to determine the percentage of logging residue volume, the locations where logging residue occurred, the percentage of barber chairs, and the relationship between tree diameter and height to the volume of logging residue. The results showed that the percentage of logging residue was 26.36%, with the residue primarily occurring at the felling site. Barber chair damage occurred in 58.8% of the total trees harvested. The larger the tree’s diameter, the greater the volume of logging residue.

Linguistic Landscape of Tourism Destinations in Gianyar, Bali

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This research entitled “Linguistic Landscape of Tourism Destinations in Gianyar, Bali”. This research was conducted with the aim of analyzing landscape dynamics in tourism destinations in Bali, specifically in Gianyar regency. It focuses to map or categorize  LL dynamic and also analyzing the pattern construction of Linguistic Landscape (LL) found in those destinations. The method applied for this research is a non-participatory observation method, using image capture technique, note-taking technique and literature study. The theory applied in this research is Linguistic Landscape (LL) from Landry and Bourhis (1997)

The research found 404 outdoor signs of Linguistic Landscape in tourism destinations of Gianyar Bali. The findings included into five categorizations, they are (1) nature, (2) culture, (3) village, (4) museum, (5) manmade attraction. The pattern construction of Linguistic Landscape found in those tourism destinations are topdown and bottom-up. The top-down pattern can be found in three categories, they are village, culture and museum. In the other hand, the bottom-up pattern can be found in all categories of LL of tourism destination in Gianyar Bali. Nature and man-made category share equal number of bottom-up pattern and the least is village category. The top-down pattern shows that village category reached the highest percentage number of outdoor signs found among the three categories, and the least showed by culture category.