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This study aims to analyze the influence of Work Discipline and Organizational Culture on Employee Performance at PT. BYD Arista Elektrika Pondok Indah. Employee performance is a key determinant of organizational success, and understanding the internal factors that shape it is essential for effective management. The research employs a quantitative approach, with data collected through questionnaires distributed to 62 respondents representing employees of the company. The data were processed and analyzed using SPSS 27, applying both partial (t-test) and simultaneous (F-test) statistical analyses to examine the significance of the relationships among variables. The results demonstrate that Work Discipline has a positive and significant effect on Employee Performance, emphasizing that adherence to rules, punctuality, and consistent task completion contribute substantially to better performance outcomes. Likewise, Organizational Culture also exerts a positive and significant effect, indicating that shared values, norms, and behavioral patterns within the organization play an important role in shaping employee attitudes and productivity. Furthermore, the F-test findings confirm that both Work Discipline and Organizational Culture, when considered together, significantly influence Employee Performance. The coefficient of determination (R²) is 0.631, meaning that 63.1% of the variance in employee performance can be explained by these two variables, while the remaining 36.9% is attributed to other factors beyond the scope of this study. Specifically, Work Discipline contributes 57.8% and Organizational Culture contributes 51.4% to employee performance. These findings underscore the strategic importance of instilling strong work discipline while simultaneously fostering a supportive and cohesive organizational culture. The practical implication for management is the necessity to design policies and initiatives that not only enforce discipline but also build a positive work environment that motivates employees. Strengthening these aspects is expected to enhance overall productivity, improve organizational outcomes, and create a sustainable competitive advantage for the company.

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.

Background: The rapid advancement of digital technologies in the Industry 4.0 era has transformed industrial mechanical systems into highly interconnected and data driven environments through the integration of sensors, the Internet of Things (IoT), data analytics, and cyber physical systems. This increasing complexity requires more adaptive and accurate monitoring and prediction methods than conventional simulation approaches, which often face limitations in capturing real time dynamic system behavior. Objective: This study aims to develop a predictive performance model for industrial mechanical systems by integrating Digital Twin technology with Physics Informed Machine Learning in order to improve monitoring accuracy and support predictive maintenance strategies. Methods: This research adopts a data driven modeling and simulation approach by developing a digital representation of an industrial mechanical system that is connected to real time sensor data. The prediction model is constructed using a Physics Informed Neural Network (PINN), which integrates operational data with physical principles governing system dynamics. The research process includes the development of a Digital Twin model, integration of sensor data, training of the PINN model, model validation using experimental data, and evaluation of prediction performance using statistical metrics. Results: The results indicate that the integration of Digital Twin technology and PINN significantly improves the prediction accuracy of industrial mechanical system performance compared with conventional simulation methods and purely data driven machine learning models. The proposed model is capable of representing system dynamics more consistently, accurately following sensor data patterns, and providing strong potential for supporting machine condition monitoring and predictive maintenance strategies in modern industrial environments.

This research study examines the dynamics of organizational communication and public communication in the recruitment process in State-Owned Enterprises (SOEs), with a particular focus on the tension between transparency efforts and the ongoing practice of entrusting positions. Despite the government's introduction of the Joint Recruitment of SOEs (RBB) program, which aims to digitize and standardize the selection of employees, a discrepancy emerges between the program's stated objectives and the perceptions of both the government and the public. The prevalence of complaints pertaining to the absence of information transparency, the lack of feedback mechanisms regarding unsuccessful outcomes, and the emergence of the term "insider" within the digital domain are indicative of deficiencies in two-way communication and a decline in public trust in the BUMN recruitment process. The present research employs a descriptive qualitative approach, utilizing a case study method and thematic analysis. The data presented herein were obtained through meticulous documentation studies of official documents from the FHCI, the Ministry of SOEs, and online media, as well as netnographic observations of public interactions on social media such as Instagram and Twitter. The analysis focused on public narratives, institutional communication patterns, and their impact on institutional reputation and legitimacy. The findings indicate that organizational communication within the RBB process remains hierarchical, failing to align with the ideal of reciprocal communication. The absence of information disclosure and the lack of a designated public forum for clarification engender significant discord between the assertions of institutional entities and the actual experiences of participants. This research recommends the implementation of measures to enhance the effectiveness of the aforementioned processes.

The transformation of settlement patterns in Ciwandan District, Cilegon City, is a consequence of massive industrial expansion over the past two decades. This change has resulted in the conversion of coastal agricultural land into high-density urban-industrial areas with heterogeneous settlement characteristics. This study aims to describe population dynamics, spatial structure changes, and their impact on the quality of life of the community. The approach used is descriptive qualitative with a literature review method. The findings indicate that the increase in population, particularly the working-age population, is accompanied by the growth of informal housing and pressure on basic infrastructure such as sanitation, clean water, and green open spaces. The imbalance between industrial growth and the provision of public services has created various social and ecological challenges. Therefore, there is a need for the integration of spatial planning policies, adaptive infrastructure development, and partnerships between the government, the community, and the industrial sector to create livable and sustainable residential areas.

This music training with rhythm pattern material aims to improve the competence of kindergarten teachers in integrating creative and fun music learning in the early childhood education environment. The training activity was carried out at the FKIP Kindergarten, Syiah Kuala University and involved 15 teachers as participants. The training method includes initial observation, pre-test, and a series of learning stages ranging from the introduction of rhythm and tempo, rhythm composition, to joint exercises using alternative media such as used goods as musical instruments. The results of the training showed a significant increase in teachers' understanding of rhythm concepts, creativity in creating rhythm patterns, and the ability to utilize simple media as musical instruments. This training proves that with creativity and the right approach, the limitations of musical instruments are not an obstacle to organizing effective music learning in kindergarten.

Background: Elderly individuals with uncontrolled high blood pressure are at high risk for developing complications. One of the prevention efforts for hypertension complications is regular blood pressure monitoring. Blood pressure control and prevention of hypertension complications are influenced by several factors, including the patient's knowledge of hypertension and dietary patterns. Through understanding, early detection, and appropriate treatment, elderly individuals can manage and prevent serious complications that may arise.       Methods: The activity implementation stage includes preparation of facilities and equipment, followed by health education using educational video media and leaflets. The activity was held in one session. The target audience for this activity was elderly individuals, both independent and assisted, aged 45 years and older. Evaluation was conducted using pre- and post-tests.  Results: The activity was carried out at Wantilan, Desa Guwang, with the attendance of 30 elderly individuals from the local elderly group in the village. The activity began with elderly exercise, followed by health education through an educational video and leaflet distribution. The pre-test and post-test results showed a significant improvement in the elderly's knowledge about hypertension. The elderly demonstrated a better understanding of hypertension, including the definition of normal blood pressure, how to measure blood pressure, and the importance of a healthy lifestyle to control hypertension.         Conclusion: Health education is crucial in controlling hypertension in the elderly. With accurate knowledge about hypertension, the elderly become more confident in taking preventive actions. Increased independence has a positive impact on physical, mental, and emotional aspects, which helps the elderly feel more optimistic and have a better quality of life.

Election integrity is a key element in ensuring democratic legitimacy, yet election fraud remains a significant threat to this process. This research aims to evaluate the use of Bayesian statistics in detecting anomalies in vote distributions that may indicate potential election fraud. In the context of elections, whose reliability is often questioned, statistical analysis becomes crucial to ensure transparency and credibility in election results. This study uses national election data collected from various polling stations (TPS), focusing on vote distribution per candidate in each TPS. A Bayesian probabilistic model is applied to analyze the observed vote distribution compared to the expected distribution. By using Bayesian inference, researchers can update the probability distribution based on the obtained data, allowing for more accurate anomaly identification. The analysis results show significant deviations in several TPS, where the observed vote distribution exhibits patterns inconsistent with the expected distribution. These anomalies are suspicious as they may indicate manipulation or errors in the vote counting process. The implications of this research suggest that the Bayesian method can be used to improve election transparency and provide a more reliable tool for detecting fraud. The future application of this technique can help increase public trust in election results and support the integrity of the democratic process. This study also recommends further development of the analytical model to expand the scope of anomaly detection and enhance fraud detection accuracy in larger and more complex elections.

This study explores the role of interpersonal communication in the development of marital relationships, particularly when facing household challenges such as suspicion, dishonesty, and lack of emotional support. Using a case study approach, this research analyzes communication patterns, the impact of communication problems on interpersonal attraction, their effects on the process of building a marital relationship, and effective communication strategies for repairing, strengthening, and maintaining the relationship between husband and wife. The findings reveal that open communication, empathy, and emotional support are key factors in enhancing harmony and attraction in marital relationships. Conversely, closed communication patterns, negative dominance, and a lack of empathy and honesty increase the risk of conflict and reduce relationship quality. This paper also identifies effective communication strategies that couples can apply to nurture their relationships, such as improving openness, honesty, and mutual emotional support. These findings are expected to serve as a reference for maintaining harmonious marriages amid the challenges of modern life.

This article aims to theoretically examine the relationship between unhealthy personality, cognitive distortion, and the application of Cognitive Behavior Therapy (CBT) in counseling practice. This study uses a literature study method with a conceptual approach, namely analyzing relevant literature without collecting field data. The results of the study indicate that unhealthy personality is often influenced by cognitive distortions that cause individuals to view themselves and their environment negatively and irrationally. CBT is an effective counseling approach to help individuals recognize and reconstruct negative thought patterns to be more realistic and adaptive. In conclusion, CBT can be used as a psychological intervention strategy in dealing with unhealthy personality problems, especially in students who experience academic pressure and impostor syndrome.  

Hemoglobin and hematocrit examinations serve as important early indicators of hematological status, reflecting the blood’s capacity to transport oxygen. A decrease in these two parameters leads to anemia, which is often undetected due to minimal early symptoms and low awareness to undergo examinations. This activity was carried out using the Plan-Do-Check-Act (PDCA) approach, by examining hemoglobin and hematocrit levels in adult participants. Capillary blood samples were analyzed using a portable device at the examination location. Education was delivered through leaflets regarding the importance of iron, vitamin B12, and folate intake to support erythrocyte formation. The examination was attended by 104 participants, the majority of whom were women. The average hemoglobin was recorded as approaching the lower limit of normal values, while hematocrit levels showed wide variations. More than half of the participants were classified as having anemia. This high proportion of anemia highlights the urgent need for targeted nutritional education. Hemoglobin and hematocrit screening proves effective as an early detection tool for hematological disorders. Education that is linked to laboratory findings should be prioritized to promote improved dietary patterns, particularly the consumption of iron-rich foods, vitamin B12, and folate, in order to prevent erythropoietic dysfunction and long-term health complications.

Indonesian National Arts are different from other countries. One of them is textile craft art, which includes batik craft art, which was recognized by UNESCO as an original Indonesian cultural heritage on October 2, 2009. Batik is the art of drawing on clot . Hand-drawn batik is batik that is produced using a canting tulis which is used as a tool in placing wax liquid on the cloth. To create this work, the author uses the creation method from Sp. Gustami which consists of 3 stages, namely: Exploration, Design, and Realization. The results of the creation of this hand-drawn batik work produced 12 batik works in the form of two-dimensional works of various sizes. The types produced from this work are: Hijab, Long Cloth and Wall Decorations. Batik works have aesthetic value (beauty) namely the combination of Torch Ginger Plants. Torch Ginger Plants are used as the main motif in this batik work and other motifs are isen-isen. The process of creating written batik works that begins with the initial steps of making motifs on paper, transferring patterns from paper to cloth, the canting process, coloring batik, locking colors, and ngelorod batik. The process of creating written batik works that begins with the initial steps of making motifs on paper, transferring patterns from paper to cloth, the canting process, coloring batik, locking colors, and ngelorod batik.

Unsignalized intersections are a major point of concern due to the increasing number of vehicles. Bima City is a city located on the eastern part of Sumbawa Island, West Nusa Tenggara Province. As a developing city, congestion and busy traffic often occur on roads or intersections of Mongosidi and Anggrek roads. Therefore, this study was conducted to determine the performance and level of service of unsignalized intersections at Mongosidi Street and Anggrek Street. The method used refers to the Indonesian Road Capacity Manual (MKJI) 1997. This study aims to determine the indicators of traffic behavior at unsignalized intersections. The results of the calculation obtained a total flow of 3147 smp / hour, a capacity value (C) of 4234 smp / hour and a degree of saturation (DS) of 0.74, Traffic Delay (DT) of 8.07 sec / smp, intersection delay (D) of 11.73 sec / smp and upper and lower limit queuing opportunities of 44.46% and 17.74% respectively. This condition occurs on Monday, March 17, 2025 at the peak hour of 06.45-07.45 WITA. For the level of service of the intersection pattern, the conditions on Monday, March 17, 2025 at the peak hour of 06.45-07.45 WITA are also categorized as type C, namely stable flow, but the speed and movement of vehicles are controlled.Drivers are limited in choosing speed, with saturation density (Ds) around 0.45 - 0.74.

This research is motivated by the problem in the Preservation of Gondang Buhun Traditional Arts in Kuta Traditional Village, Karangpaningal Village. This study uses a descriptive method with a qualitative approach with primary data sources in the form of interview results from 6 informants consisting of 1 village, 1 village official, 1 village elder, 1 person from the Gondang Buhun art administrator, 1 member of the Gondang Buhun art, 1 person, 1 community/community leader. Secondary data is in the form of relevant documentation. The data collection technique consists of observation, interviews with the stages of data reduction analysis, data presentation, and conclusion drawn. The results of the study show that the Karangpaningal Village Government has a role in the preservation of Gondang Buhun's traditional arts, including the role of stabilizer through support for the sustainability of traditional events through Gondang Buhun performances. The role of innovators encourages the birth of creativity through the development of training patterns, the role of modernizers facilitates it, the role of pioneers to be the main actors who initiate conservation initiatives through policy support, village budget allocation, and the role of self-implementers to provide instructions or directions. The obstacles found are the lack of regeneration of young artists, limited funds, and lack of promotion which have an impact on the decline of the existence of Gondang Buhun among the younger generation. Efforts that have been made are to support preservation through the provision of village budgets, training procurement, and support art performances at various traditional and state events.

Digital transformation in health services faces significant challenges, particularly the gap between rapid technological advancements and the readiness of institutional work culture. This study investigates the cultural lag experienced during the implementation of digital systems at the East Nunukan Health Center. Using an observational qualitative approach, it examines health workers' responses to digital applications such as e-Puskesmas and various Health Information Systems. The findings reveal substantial resistance to change, attributed to factors like limited digital literacy, inadequate infrastructure, and the persistence of traditional work patterns. Despite the introduction of digital systems, healthcare practices remain largely dependent on manual methods, highlighting the disconnect between technological progress and the socio-cultural preparedness of healthcare organizations. The study concludes that this cultural lag within healthcare institutions can significantly impede the effectiveness of digital transformation efforts. To address these issues, the research advocates for ongoing training, improvement of supporting facilities, and the adoption of strategies that align with local work culture. This research provides valuable insights into the socio-cultural dynamics affecting the digitization of public services, especially in border regions with limited technological access.

Changes in land surface temperature are one of the important indicators in monitoring global environmental change. In the last decade, increasing surface temperatures have become a global concern, as they have the potential to affect ecosystems, air quality, water availability and human health. In addition, increasing land surface temperature also has a direct impact on the urban heat island phenomenon, which can worsen environmental conditions in urban areas. In this context, analyzing periodic changes in land surface temperature is important to understand the patterns and factors that influence these changes. The objectives in conducting this research, namely: Analyzing the land surface temperature, Creating a regional land surface temperature map and Analyzing changes in land surface temperature from the land surface temperature map of Pariaman City in 2015, 2019, and 2023. Based on the results of the analysis of changes in land surface temperature using Landsat 8 OLI/TIRS images in 2015, 2019, and 2023, it was found that there were significant variations in temperature changes in several areas. Landsat 8 image data is processed through several stages, starting from converting Digital Number (DN) values to spectral radians, brightness temperature, to estimating Land Surface Temperature (LST) in Celsius units. The analysis shows that there was a significant increase in land surface temperature during the period, especially in urban and coastal areas. In 2015, the majority of areas had temperatures of 20°C-24°C, while in 2019 it shifted to 24°C-28°C, and in 2023 it was dominated by temperatures of 28°C-32°C and above 32°C. These changes reflect a significant local warming trend, influenced by human activities and land use change. This research is expected to contribute to the understanding of environmental dynamics and support spatial planning that is more adaptive to climate change.

mathematical instruction often lacks relevance to students’ real-life contexts, necessitating more meaningful and contextualized approaches. This study aims to integrate geometric concepts and ethnomathematics through the utilization of ketupat a traditional Indonesian cultural artifact as a culturally grounded instructional medium. A descriptive qualitative method was employed, using literature review and contextual observation of the geometric structure of ketupat. The findings reveal that ketupat encompasses geometric elements such as symmetry, three-dimensional forms, woven patterns, and calculations of volume and surface area. Moreover, ketupat holds significant symbolic meaning within Indonesian culture, making it a relevant bridge between mathematical concepts and local values. The study concludes that using ketupat as a contextual medium enhances students’ conceptual understanding of geometry and strengthens the integration of cultural values within mathematics education.

The increasingly tight job competition makes job seekers, especially fresh graduates, face difficulties in getting the jobs they dream of. Thus, self-preparation for graduates who will enter the world of work is now increasingly important. This study aims to determine the level of readiness of job seekers in Bekasi City in facing online job interviews in the digital era. Along with the development of technology and changes in recruitment patterns after the COVID-19 pandemic, online job interviews have become a common selection method used by companies. However, this transition requires job seekers to have online job interview readiness, technical readiness, mental readiness, understanding of ethics. The results of the study show that the majority of job seekers in Bekasi are at a moderate level of readiness. They have sufficient access to technology, but still experience obstacles in virtual communication and mastery of certain digital platforms.

Negative thinking represents a type of cognitive distortion that can negatively impact an individual's mental health and impede their ability to adapt effectively in daily life. This study aims to explore the effectiveness of three cognitive strategies self-talk, reframing, and thought stopping in managing such negative thoughts. Utilizing a qualitative research approach, this study conducted a literature review alongside participatory observation. Data were gathered by analyzing various academic articles, books, and journals focusing on these three techniques in the context of controlling negative thought patterns. Findings reveal that each technique offers unique benefits: self-talk helps in cultivating a more positive internal dialogue, reframing enables individuals to interpret problems from a more constructive angle, and thought stopping effectively halts the recurrence of negative thoughts through conscious intervention. These results indicate that these cognitive techniques can serve as practical psychological interventions for managing negative thinking.

The importance of data mining in Indonesia is increasing along with the growth of big data in various strategic sectors. Data mining plays an important role in transforming complex data into useful information to support data-driven decision making, which is urgently needed in the face of competitive challenges and operational complexity. This research aims to examine the development of data mining techniques and applications in Indonesia over the last decade (2015-2024). Through a systematic literature review approach, data was collected from academic publications in SCOPUS indexed databases. From the initial 95 papers found, a further selection was made based on accessibility, title, and abstract until 64 papers were included in the article review. The results show that techniques such as K-Means, Naive Bayes, and Decision Tree are most commonly used. In the business sector, clustering through K-Means is widely applied for market segmentation and consumer pattern analysis. The healthcare sector mainly utilizes classification techniques, such as Naive Bayes and Decision Tree, for disease risk prediction and early diagnosis. Meanwhile, the education sector uses data mining to assess student performance and predict potential dropouts, assisting institutions in optimizing learning strategies.