The rapid advancement of wireless communication technology has significantly influenced industrial automation, particularly in collaborative robotics (cobots). With the expected commercial deployment of 6G by 2030, this technology offers ultra-high-speed data transmission, low latency, and deep integration of Artificial Intelligence (AI). This study investigates the impact of 6G on enhancing the performance and efficiency of cobots in industrial settings, addressing challenges related to real-time coordination, network latency, and economic implications. The results indicate that cobots powered by 6G achieve a 25-30% increase in throughput, a latency reduction to 0.5 - 0.8 ms, and a 15-20% improvement in energy efficiency compared to 5G-based cobots. These enhancements facilitate more precise and adaptive human-robot interactions, improving operational flexibility and productivity across various sectors. However, challenges such as infrastructure readiness, cybersecurity risks, and high implementation costs remain key concerns. This study provides a comprehensive analysis of the synergy between 6G and collaborative robotics, offering valuable insights for industries preparing for next-generation automation.

Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through several main stages, including image preprocessing (conversion to grayscale, thresholding, and image size normalization), feature extraction using the zoning technique, and classification using the KNN algorithm. This research utilizes the MNIST dataset, which contains thousands of handwritten digit images ranging from 0 to 9. The system is developed using the Google Colab platform, supported by Python libraries such as OpenCV, NumPy, and Scikit-learn. Test results show that the system can achieve an accuracy of over 90% at certain K values, indicating that the KNN method is quite effective and efficient in recognizing handwritten digit patterns. This system is expected to be applicable for various digitization needs of handwritten numbers in education, administration, and information technology sectors

This study aims to determine and analyze the direct influence of store atmosphere on impulse buying in Consumers of Kartasura Mitra Department Store, to determine and analyze the direct influence of sales promotion on impulse buying in Consumers of Kartasura Mitra Department Store, to determine and analyze the direct influence of product completeness on impulse buying in Consumers of Kartasura Mitra Department Store and to determine and analyze the simultaneous influence of store atmosphere, sales promotion, product completeness on impulse buying in Consumers of Kartasura Mitra Department Store. This study uses a quantitative method with a sample of 100 employee respondents at Consumers of Kartasura Mitra Department Store. Data were analyzed using multiple linear regression analysis using IBM SPSS Statistics. The results of the study indicate that directly store atmosphere has a significant effect on impulse buying in Consumers of Kartasura Mitra Department Store, directly product completeness has a significant effect on impulse buying in Consumers of Kartasura Mitra Department Store, directly sales promotion has a significant effect on impulse buying in Consumers of Kartasura Mitra Department Store, and directly and simultaneously store atmosphere, sales promotion, and product completeness have a significant effect on impulse buying in Consumers of Kartasura Mitra Department Store

This study aims to evaluate the level of compliance of sustainability report disclosures based on the Global Reporting Initiative (GRI) Standards in four energy sector companies in Indonesia, namely PT Bukit Asam (PTBA) Tbk, PT Aneka Tambang (ANTM) Tbk, PT Timah (TINS) Tbk, and PT Alamtri Resources Indonesia (ADRO) Tbk for the period 2022-2024 using a qualitative descriptive approach method with content analysis of each company's sustainability report and comparing disclosures on indicators of universal standards and specific GRI standards. The results showed that all companies have achieved full compliance with GRI universal standards in the last two years (2023 and 2024), especially PTBA, ANTM, and TINS consistently maintain complete disclosure (100%) on GRI 100: Universal Standard for three consecutive years since 2022. Likewise, TINS managed to achieve 100% full disclosure for GRI specific standards 200, 300, 400 and ranked first for the 2023-2024 period compared to the other 3 companies. However, there are variations in disclosure on the economic, environmental and social specific standards between 4 companies. These findings confirm a commitment to transparency in the energy sector, but there is a need to improve the quality of reporting, particularly on social and environmental aspects to align with international standards.

This study aims to influence the perception of convenience, perception of usefulness and promotion on Shopeepay E-Wallet on generation z consumptive behavior in Yogyakarta. The research method uses a quantitative method by conducting multiple linear regression between perception of convenience, perception of usefulness and promotion on generation z consumptive behavior in Yogyakarta. The sample in this study was determined by purposive sampling. This study concludes that the variables of perception of convenience and perception of usefulness influence the consumptive behavior of generation z in Yogyakarta while the promotion variable does not influence the consumptive behavior of generation z in Yogyakarta. The R² value shows a value of 0.315. This identifies that all independent variables (perception of convenience, perception of usefulness and promotion) are able to influence the dependent variable (consumptive behavior) by 68.5%

This study aims to see how much impact the variables attractiveness, expertise and trustworthiness have on the purchase interest of Shopee e-commerce. Data collection using questionnaires to obtain answers to research variables and respondent data. The sampling method uses convenience sampling techniques. The respondents of the study were all Millennials and Generation Z aged 18-37 years old Shopee e-marketplace users in Semarang City as many as 96 people. The questionnaire answer assessment indicator uses a 5-point Likert scale. The data analysis method uses multiple linear regression and is processed using SPSS software version 30. The results of the study show that the variables attractiveness, expertise and trustworthiness have a significant influence on purchase interest. The most dominant expertise variable in achieving optimal purchase interest in respondents is the Millennial generation and Generation Z aged 18-37 years old Shopee e-marketplace users in Semarang City.

The COVID-19 pandemic affected hospitals by reducing inpatient and outpatient volumes while increasing operational costs. This study analyzes financial distress differences in six private hospitals listed on the Indonesia Stock Exchange using the Altman Z”-Score and Springate models. A quantitative comparative method with purposive sampling was applied, using secondary data from 2018–2022, analyzed with the Paired Sample T-Test. Results show no significant differences in financial distress before and after COVID-19 (Altman Sig. 0.415; Springate Sig. 0.128). All hospitals remained in the safe zone, indicating financial stability throughout the pandemic.

This study aims to analyze the financial ratio and financial performance of PT Mayora Indah Tbk in 2021 to 2023 based on calculations on the profitability ratio and liquidity ratio. This study applies a descriptive method with a qualitative approach. The data collection technique in this study is documentation with secondary data sources, namely the annual financial report of PT Mayora Indah Tbk listed on the IDX. The results of the calculation of financial performance at PT Mayora Indah Tbk in the 2021-2023 period based on profitability from return on assets are stated to be less than good and return on equity is stated to be less than good, while liquidity from the current ratio is stated to be good and the quick ratio is stated to be good. The conclusion of financial performance at PT Mayora Indah Tbk in the 2021-2023 period in terms of profitability is said to be less than good and liquidity is said to be good.

The research focuses on evaluating the impact of capital structure, liquidity, and profitability on the value of companies engaged in the real estate sector and has been on the Indonesia Stock Exchange (IDX) list for the period 2018-2023. The more rapid and intense the competition faced by various companies in this field, the more this study seeks to determine the magnitude of the significant influence of all independent variables on the valuation of a company, as well as the role of company size, which is determined to be a moderating factor. Quantitative methods based on secondary data are the basis for conducting research, with the company's public financial statements as secondary data. Purposive sampling plays an important role as a form of sampling whose data is analyzed through multiple regression and moderation analysis. The findings of this study show that with positive significance, liquidity and profitability affect firm value, but capital structure does not exert its influence. In addition, firm size is found to moderate the interaction of liquidity with firm value but has no moderating effect on the relationship of capital structure and profitability on firm value.. 

Employee work orientation is a step to introduce new employees to the new environment as well as job descriptions and coworkers. Work discipline is also an achievement in the work environment and training and development will affect the performance of education personnel. This study aims to analyze the effect of work orientation, work discipline and training and development on the performance of education personnel. This type of research is quantitative research with a total sample in this study of 54 people selected based on non-probability sampling techniques (not random) with purposive sampling sample selection techniques, namely educational staff respondents who work at Pelita Nusantara Kasih Christian School Surakarta City, and data collection methods using questionnaires. The results showed that work orientation variables, work discipline variables, training and development simultaneous influenced the performance of educational staff at Pelita Nusantara Kasih Christian School in Surakarta City.