This study aims to analyze the implementation of organizational culture in improving employee performance at the Nias Class B Search and Rescue Office (BASARNAS). Organizational culture plays a crucial role in shaping employee behavior, motivation, and productivity, especially in public service institutions such as BASARNAS. This study uses a qualitative method with a case study approach. Data were collected through in-depth interviews, observations, and document analysis related to organizational culture at BASARNAS Class B Nias. The main respondents were BASARNAS employees and management, selected by purposive sampling. The results of the study indicate that the implementation of organizational culture at BASARNAS Class B Nias has a positive impact on employee performance. A strong organizational culture, especially one that emphasizes values ​​such as cooperation, responsibility, and innovation, is a determining factor in creating a conducive work environment. The active involvement of management in promoting and maintaining the culture also plays a vital role in increasing employee morale and dedication. However, this study also identified several challenges in implementing organizational culture, including resistance to change from some employees and the incompatibility of cultural values ​​with local characteristics. Therefore, this study provides strategic recommendations to improve the effectiveness of organizational culture implementation, such as developing training programs, communicating cultural values ​​more effectively, and strengthening collaboration between management and employees.

Indisciplinary behavior is behavior that deviates from established rules or problems that can reduce the quality of learning and generally reduce the quality of school. The reality is that disciplinary behavior leads to negative actions. Therefore, this behavior must be overcome so that it does not become a habit that gets worse over time. This type of research is qualitative research. The data collection technique in this research is interview, observation and documentation methods to answer three of the research objectives. The research found that in terms of factors of disciplinary behavior, namely personality factors and environmental factors, in terms of the impact of disciplinary behavior, the researchers found a negative impact on the learning process and generally reducing the quality of the school, in terms of countermeasures or things to avoid disciplinary behavior, namely the school principal being an example to his subordinates. , emphasize that there are school rules to be obeyed, not to be violated, then remind and personally summon teachers who carry out disciplinary actions, carry out direct supervision or monitoring, carry out training and development.
 

This study aims to explore, analyze, and interpret the impact of Individual Competence, Work Discipline, and Work Motivation on the performance of employees at PT. Reads Media Indonesia. The research approach used is descriptive quantitative, with a population and sample consisting of 36 employees. Data collection was conducted through interviews, questionnaires, and literature studies. The data obtained will be analyzed using statistical tools and SPSS version 24 software. The research results show that: 1. Individual Competence has a positive and significant impact on the performance of employees at PT. Reads Media Indonesia. In general, Individual Competence has a strong influence on improving employee performance, which is a crucial factor in achieving organizational goals. 2. Work Discipline also has a positive and significant impact on the performance of employees at PT. Reads Media Indonesia. Competence is an important factor that supports employees in optimally developing their potential to support organizational goals with full awareness. 3. Work Motivation also has a positive and significant impact on performance at PT. Reads Media Indonesia. The main factors in the work environment include the atmosphere and supporting facilities that play an important role in the execution of work tasks.

Sexual harassment is an act involving exploitation and abuse of power of a sexual nature that degrades a person's dignity. This may include unwanted and inappropriate speech, behavior or physical actions that target someone based on their gender or sexual characteristics.   The Nias District Social Service has a central role in providing social services to the community, including vulnerable groups who are more at risk of becoming victims of sexual harassment. This research aims to determine the roles and responsibilities, policies and effectiveness of Nias Regency as a region with cultural and social diversity that has its own challenges in maintaining an environment that is safe from sexual harassment. The Nias District Social Service has a central role in providing social services to the community, including vulnerable groups who are more at risk of becoming victims of sexual harassment. This research uses a qualitative research approach. The results of this research show that the Nias District Social Service has taken a number of concrete steps to prevent sexual abuse of children. These steps include regular education and training for organizational members, building an open and safe culture, and providing support for individuals in need. However, the effectiveness of these measures requires in-depth evaluation. Factors such as the level of response to policies, effectiveness of training, openness in organizational culture, availability of support, and ongoing evaluation processes need to be considered.

The main problems identified at PT. Kencana Mulia Abadi is the lack of variation in discount strategies. The discounts offered tend to be monotonous and not adapted to various market segments and only for certain types of motorbikes, not comprehensively for all types of motorbikes marketed. This research uses a descriptive approach with a qualitative research type where data collection techniques are obtained through interviews, observation and documentation. The data analysis technique used is the Milles and Huberman data analysis technique. The research results show that (1) Implementation of price discount strategies at PT. Kencana Mulia Abadi is considered to have significantly increased sales of Honda brand motorbikes, especially during certain periods such as special events or new product launches. Price discounts are effective in attracting consumers and speeding up stock turnover, helping manage excess stock and minimizing the risk of unsold products, and (2) Price discount strategies also contribute to increasing customer loyalty and competitiveness in the market. PT. Kencana Mulia Abadi is advised to implement a discount strategy that is planned and not too frequent, such as at annual events or new product launches, to avoid reducing the perception of product value. In addition, companies can increase customer loyalty by complementing discount strategies with attractive loyalty programs, such as reward points or exclusive vouchers, which can strengthen relationships with customers and encourage repeat purchases.

This research work is expected to provide a deeper insight into the factors related to the performance of the village government in implementing the Independent Village program, as well as providing recommendations for the improvement and development of the program in the future. The researcher determined the type of research used, namely the qualitative method where this method emphasizes more on observing phenomena and examining the substance of the meaning of the phenomenon and is greatly influenced by the power of words and sentences or often said to be in the form of statements or sentences. The results of the study are: First, the evaluation of the performance of the Tumori Village government in general has been going well, but there are still several sub-parameters that have not reached the maximum limit. Second, in the process of implementing the Independent Village Program, Tumori Village strives to support human resource development, natural resource management, management of local village potential and improving the community's economy. Third, the efforts made in implementing the Independent Village are by implementing the PKTD (Village Cash for Work) program where this program involves the entire community in village development activities or projects in order to support the economy, provide jobs, and improve the welfare of the entire community.

The consumer goods industry, including the tobacco sector, plays a critical role in Indonesia's economy. Despite facing intense competition and regulatory challenges, this sector contributes significantly to national revenue through taxes and duties. Indonesia, with one of the highest smoking rates globally, saw substantial revenue from Tobacco Excise Duties (CHT), amounting to IDR 198.02 trillion in 2022. The COVID-19 pandemic exacerbated challenges by causing significant tax hikes, leading to reduced purchasing power and increased demand for illegal cigarettes. This study focuses on PT HM Sampoerna Tbk, a major player in the Indonesian tobacco industry, evaluating its financial performance using the Du Pont System for the years 2020-2022. The analysis reveals fluctuating Return On Equity (ROE), a declining Net Profit Margin (NPM), and Return On Assets (ROA), despite stable Total Assets Turnover (TATO) and Equity Multiplier (EM). The findings highlight the impact of external economic pressures and regulatory changes on the company's profitability and operational efficiency. This study provides insights into how financial performance metrics reflect the broader economic context and the effectiveness of management strategies.

This study investigates whether AI is a possible game-changer in the communications industry for cultural manifestations digitally and, hence, an active protagonist in the moisture preservation and sustenance of Nusantara cultural heritage. By examining eight cultural applications on the Google Playstore ranging from cultural education application to local language dictionary application and so on, this research evaluate the existing mobile apps and future opportunities for integrating AI into cultural preservation endeavors. The results indicate that present applications do not employ AI but there is great potential for incorporating AI features such as adaptive learning, semantic search, and personalization of content recommendations. The study stresses having a solid digital backbone defined by an inclusive policy framework and collaborative inter-disciplines which is crucial because of challenges such as disparities in technological access, data privacy concerns, and resistance from culture. Policy recommendations ensuring the responsible use of AI are put forward in terms of ethical standards, digital literacy, and sustainable development that strive to advance Indonesia's digitalization narratives in harmony with cultural sustainability in the wake of the digital era.

This research aims to analyze the implementation of the mudharabah contract in pension fund management at BSI KC Rantauprapat. The research method used is qualitative with a case study approach. Data were obtained through interviews with the Branch Operation & Service Manager of BSI KC Rantauprapat and document analysis. The results showed that BSI KC Rantauprapat applies the mudharabah muthlaqah contract to its pension savings product, providing flexibility in fund investment. The associated risks are managed through investment diversification and strict supervision. This study highlights the need for more comprehensive regulations to support the development of Islamic pension funds. Recommended development strategies include increased education, product innovation, and strengthened risk management.

One important aspect of waste management is the grouping and sorting of waste based on its type. However, waste sorting carried out by the public is often inaccurate or inconsistent. This can be caused by a lack of knowledge about waste types, confusion in identifying the correct type, or difficulty in memorizing complex sorting guidelines. Therefore, a system is needed that can detect waste types quickly and accurately without involving a large amount of human labor. One technological solution that can be used is machine learning. The method used in this study is the Random Forest algorithm. The data used consists of waste grouped based on characteristics such as texture and shape. This data is processed through feature extraction and preprocessing before being applied to the Random Forest model. The model's accuracy is tested using cross-validation techniques to assess classification performance. The experimental results show that the Random Forest algorithm can achieve a high level of accuracy in detecting waste types. The accuracy obtained reaches 94%, with consistent results in each cross-validation fold. This model proves to be effective in classifying different types of waste using the available features. The implementation of the Random Forest algorithm in waste type detection demonstrates great potential in improving technology-based waste management systems. With high accuracy, this model can be applied to various waste classification systems in society, helping to improve the efficiency of recycling processes and waste reduction.