Imagery training is rarely used by coaches to improve the quality of passing techniques in soccer. This study aims for soccer coaches or athletes to apply imagery training to achieve maximum performance.The research method in this study uses a quantitative approach with a quasi-experimental research method. The population in this study were all SSB Bintang Kalinegoro athletes totaling 60. The sample used was 24 athletes. Data collection used a grid concentration test and a passing test. Quantitative data analysis consisted of a normality test, a homogeneity test, and a hypothesis test.The results showed cognitive specific sig p of 0.001, motivational general mastery sig p of 0.010, high concentration sig p of 0.008, low concentration sig p of 0.001, the interaction of imagery and concentration on passing results obtained sig p of 0.001 which means that all of them have interactions.Conclusion: There is an influence of cognitive specific, motivational general mastery, high concentration, and low concentration training methods on the passing training results of Bintang Kalinegoro soccer school players. The Cognitive Specific training method is better applied to high concentration groups, while the Motivational general mastery training method is better applied to low concentration groups.

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 analyze consumer behavior in purchasing decision-making at traditional markets in Surakarta City. The focus of this research is to identify the factors that influence consumer purchasing decisions, such as price, product quality, location, service, and shopping habits. The method used is a quantitative approach with a survey method. Data were collected through the distribution of questionnaires to 100 respondents who are active consumers at several traditional markets in Surakarta, such as Pasar Gede, Pasar Klewer, and Pasar Legi. The data analysis technique used is multiple linear regression to examine the influence of independent variables on the dependent variable. The results show that price, product quality, and service have a significant influence on purchasing decisions, while location and shopping habits do not show a significant influence. These findings indicate that consumers in traditional markets in Surakarta tend to prioritize economic value and service interaction in their purchasing decisions. This research is expected to provide input for traditional market managers in improving competitiveness amidst the growth of modern markets.

The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten digit images. The data used comes from the public dataset load_digits from Scikit-learn, which contains 1,797 grayscale images of handwritten digits sized 8x8 pixels. Each image is represented as a 64-dimensional feature vector. The dataset is split into training and testing data with an 80:20 ratio, and the model is trained using KNN with k=3. The experimental results show a classification accuracy of 96.94%, with minimal prediction errors that typically occur in digits with similar visual shapes, such as 5 and 9. This study demonstrates that KNN, despite its simplicity, can provide high accuracy in handwritten digit recognition when supported by proper preprocessing and parameter selection. The implications of this research highlight the potential for developing intelligent applications in education, data entry automation, and identity verification.

This study explores the understanding and practice of political communication among Generation Z activists ahead of the 2024 regional election in Palembang using a qualitative approach. Data were obtained through in-depth interviews with Generation Z activists and relevant literature analysis. The theory of symbolic interactionism is used to understand how political understanding is formed through communication and social interaction within the context of local politics. Generation Z activists in Palembang play a crucial role in disseminating political information, particularly to young voters, through community discussions and social media. The findings show that activists actively engage in various forms of political activities such as discussions, policy advocacy campaigns, and election monitoring to ensure a transparent and fair electoral process. Social media serves as their primary platform for spreading relevant political information and raising public awareness. However, activists also face challenges related to misinformation and disinformation on social media, which can negatively influence public opinion. Through social interactions within communities and organizations, these activists construct collective meanings regarding social and political issues that are highly relevant to their lives. In conclusion, the involvement of Generation Z activists in Palembang’s 2024 regional election reflects their commitment to political and social change. Therefore, strengthening social media literacy, improving political education, and ensuring more transparent election monitoring are essential to empower young generations to continue acting as agents of change for societal progress. These activists play a critical role in supporting democratic sustainability and social advancement. 

This study explores the understanding and practice of political communication among Generation Z activists ahead of the 2024 regional election in Palembang using a qualitative approach. Data were obtained through in-depth interviews with Generation Z activists and relevant literature analysis. The theory of symbolic interactionism is used to understand how political understanding is formed through communication and social interaction within the context of local politics. Generation Z activists in Palembang play a crucial role in disseminating political information, particularly to young voters, through community discussions and social media. The findings show that activists actively engage in various forms of political activities such as discussions, policy advocacy campaigns, and election monitoring to ensure a transparent and fair electoral process. Social media serves as their primary platform for spreading relevant political information and raising public awareness. However, activists also face challenges related to misinformation and disinformation on social media, which can negatively influence public opinion. Through social interactions within communities and organizations, these activists construct collective meanings regarding social and political issues that are highly relevant to their lives. In conclusion, the involvement of Generation Z activists in Palembang’s 2024 regional election reflects their commitment to political and social change. Therefore, strengthening social media literacy, improving political education, and ensuring more transparent election monitoring are essential to empower young generations to continue acting as agents of change for societal progress. These activists play a critical role in supporting democratic sustainability and social advancement. 

This research focuses on the use of social media by public relations of the South Sumatra Provincial Government. Public Relations of the South Sumatra Provincial Government is a government agency responsible for communication to the public. The development of communication and information technology requires public relations practitioners, including government public relations, to be able to adapt and choose new media channels that are effective in conducting public communication. So this study aims to find out how to use social media as a public communication medium of the South Sumatra Provincial Government. This study uses a qualitative method with a descriptive approach where the researcher tries to explain and describe information about the use of social media managed by the Public Relations of the South Sumatra Provincial Government to the public. Data collection techniques are carried out by interviews and observations. The results of the study show that the public relations of the South Sumatra Provincial Government has used social media in public communication activities as a platform to promote and disseminate government programs and policies so that they can be known to the public. Based on the theory of Excellece Public Relations, communication activities that have been established have been running in two directions, but still use a two-way asymmetric model where agencies expect the public to continue to act, think and behave according to the government's will through active publications that tend to be "telling" about various leadership activities without listening to the wishes of the community.

This research focuses on the use of social media by public relations of the South Sumatra Provincial Government. Public Relations of the South Sumatra Provincial Government is a government agency responsible for communication to the public. The development of communication and information technology requires public relations practitioners, including government public relations, to be able to adapt and choose new media channels that are effective in conducting public communication. So this study aims to find out how to use social media as a public communication medium of the South Sumatra Provincial Government. This study uses a qualitative method with a descriptive approach where the researcher tries to explain and describe information about the use of social media managed by the Public Relations of the South Sumatra Provincial Government to the public. Data collection techniques are carried out by interviews and observations. The results of the study show that the public relations of the South Sumatra Provincial Government has used social media in public communication activities as a platform to promote and disseminate government programs and policies so that they can be known to the public. Based on the theory of Excellece Public Relations, communication activities that have been established have been running in two directions, but still use a two-way asymmetric model where agencies expect the public to continue to act, think and behave according to the government's will through active publications that tend to be "telling" about various leadership activities without listening to the wishes of the community.

This study investigates the effects of social media usage on the mental health of adolescents, focusing on issues such as anxiety, self-esteem, and depression. Using surveys and interviews, the research examines how prolonged exposure to social media content, peer comparison, and cyberbullying contribute to mental health challenges. Findings indicate that while social media fosters connectivity, it can also exacerbate mental health issues, highlighting the need for greater awareness and parental guidance.

This paper is aimed at analyzing the concepts and parameters to determine an act as a bribery and gratuity in the Anti-Corruption Law and court cases.  This involved the application of the doctrinal legal research to understand these differences. The results of this study showed that bribery requires a meeting of mind between the bribe givers and bribe recipients which is not found in gratuity. The reporting mechanism and the reversal burden of proof do not apply to bribery while Operation Catching Hand does not apply to gratuity due to its inability to satisfy the provisions of the Criminal Procedure Code. Criminal sanctions are also imposed on both the giver and the recipient of a bribe while the act of a giver in gratuity is not considered as a criminal offense. The study also found that the court failed to apply these essential differences.