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Currently, the business sector has entered a digital transformation stage involving Big Data (BD) and Artificial Intelligence (AI). At this stage the institution must change the way it operates its business, even to a philosophical point. This paper attempts to predict the direction of these changes through literature studies. The purpose of this paper is to provide a broad view regarding the application of BD and AI in Talent Management (MT) practice. From this study it was found that the use of AI and BD in the MT process (recruiting, developing, retaining and deploying talent) has obstacles inculde: 1) availability of expert human resources, 2) data security and 3) psychological barriers of top management and employees. Some of the strategic recommendations found include: 1) Building HR expertise and adaptation, 2) Legal readiness, 3) Managerial strategy and 4) Reducing AI bias to increase the fairness of AI decisions.    

Passport services at the Class 1 Non TPI Immigration Office in Pemalang, Central Java are oriented towards public satisfaction by not abandoning the principles of excellent service, which include: simplicity, clarity, certainty of time, accuracy, security, responsibility, completeness of facilities and infrastructure, convenience access, discipline, politeness and friendliness, as well as comfort. As well as having standards, namely: legal basis, requirements, systems, mechanisms, procedures, settlement period, costs/tariffs, service products, facilities and infrastructure, implementing competence, internal supervision, complaint handling , suggestions, input, number of implementers, service guarantees that provide certainty of time, security and safety guarantees, as well as evaluation of implementer performance.The purpose of this research is to evaluate the level of service provided by the Class 1 Non TPI Immigration Office, Pemalang, Central Java in making passports. This research uses observation, documentation and interviews as data collection methods, with a qualitative descriptive approach.The results show that the Central Java Non-TPI Class 1 Immigration Office in Pemalang usually offers competent passport issuance services. This conclusion is based on an assessment of service quality elements such as dependability, responsiveness, assurance, empathy, and concrete evidence. However, the report also identified a number of challenges, such as staff shortages and a lack of facilities and equipment.The Class 1 Non TPI Immigration Office in Pemalang, Central Java must take a number of steps to improve the quality of its services. These include increasing the number of employees, training to improve human resource capabilities, improving and completing facilities and infrastructure, as well as increasing community collaboration and communication. The office's goal in implementing these changes is to provide services that are faster, easier, and more acceptable to the community.

This research explains a phenomenon of how national banking marketing strategies are technology-based. This research uses an exploratory qualitative method with a literature study approach which tries to produce information and knowledge in a field that was previously under-researched. The research results show that national banking marketing strategies developed in accordance with advances in technology during that time. Current technological developments have brought about fundamental changes in national banking, such as the presence of branchless banking and digital banking based on internet technology. The next development will change banking marketing strategies starting the marketing 5.0 era based on humanity and technology. It is hoped that the results of this research will be useful for the world of banking and science in the future.

Children under five are more at risk of experiencing nutritional disorders because during this period children will experience very rapid growth and development. Nutritional disorders can result in children's performance in activities not being optimal, hampering the growth and development process, and can even cause disease. Malnutrition sufferers in Indonesia are increasing every year, and the percentage of malnutrition in Indonesia is around 3.4%. An expert system is a computer-based system built based on facts, knowledge and reasoning that can help solve a problem. However, to measure the uncertainty and level of expert confidence in identifying and detecting malnutrition, an expert system can use the Dempster-Shafer method. The results of testing the system model using the Dempster-Shafer method on toddler nutritional diseases obtained quite good results with system accuracy of 84% with a precision value of 81.83% and also a recall value of 80%.

The process of identifying the ripeness level of cayenne peppers is an important step in cultivation and post-harvest handling. Dependence on the quality factors of farmers, such as visual diversity and differences in ripeness perception, results in subjective harvest outcomes. This manual process is also prone to inconsistent results, as humans have time limitations, fatigue, and sometimes lack concentration when sorting for long periods. To minimize these issues, technological intervention is needed to mechanically classify the ripeness level of cayenne peppers. This research aims to develop a classification model for the maturity level of cayenne pepper plants. This research proposes the use of the CNN method for feature extraction and KNN for data classification based on the features extracted by CNN. From the test scenarios carried out, the classification carried out by KNN based on CNN feature extraction got the best accuracy of 99.33%, while the CNN classification model got the best accuracy of 87.33%.

This study aims to apply the K-Nearest Neighbors (KNN) algorithm to predict stunting status in young children based on height and weight data. Stunting is a growth failure condition caused by chronic malnutrition that negatively impacts children's physical and mental development. The dataset includes height, weight, and stunting status of children. The results show that the KNN model with k=3 achieved 100% accuracy on the test data. Evaluation using the confusion matrix and classification report indicates perfect precision, recall, and F1-score for each class. Data normalization with StandardScaler improved the model's performance by ensuring all features are on the same scale. The KNN algorithm proves to be a simple yet effective method for predicting stunting, demonstrating significant potential for early detection and health intervention in children. This study recommends using a larger and more diverse dataset, as well as incorporating additional relevant features to enhance model accuracy. Implementing the model in a web or mobile application is also suggested to assist healthcare professionals in the field.

The increasing level of urbanization is in line with the need for housing. Not only that, but also the increase in people's need for a place to live has led to an increase in land prices. The city of Medan is one of the developing cities that many people pay attention to. The development of this city has attracted many people's attention, making young investors and young business people who are part of the community who have a contemporary and instant lifestyle and lifestyle, so that the need for lodging places becomes a priority. And due to the increase in the value of existing land in the city of Medan, lodging buildings that have good land efficiency are needed, such as mid-rise and high-rise buildings. Nowadays, hotels are not just a place to stay anymore for visitors doing business or tourism. But over the times, hotels are currently used to accommodate weddings, meetings, parties, and are often also used as recreational or entertainment facilities for the community. Seeing the small number of four-star hotels in Medan City, especially in Polonia District, is the reason why additional four-star hotel buildings are needed. Therefore, from these problems, the authors feel compelled to play a role in implementing ideas, ideas, and knowledge about four-star hotels, by designing business hotels with four-star facilities using a tropical architectural approach.

Infrastructure development in urban areas is often faced with various challenges, including ethical issues. The jetty construction project at Pantai Mutiara in Block SB Number 15 A, North Jakarta, is one prominent example in this regard. The jetty, designed to support maritime and tourism activities, has, since its inception, presented a range of issues related to ethical violations. These include manipulation of permits, misuse of funds, disregard for environmental impacts, and exploitation of labour. The ethical violations in this project not only harmed the environment and surrounding communities, but also undermined public trust in the government and related agencies. This case shows how important integrity, transparency and responsibility are in every stage of development. Through this study, we will take an in-depth look at the various aspects of the ethical violations that occurred in the jetty construction project at Pantai Mutiara, including the causes, impacts, and efforts that can be made to prevent similar occurrences in the future. By identifying and understanding the ethical breaches that occurred, it is hoped that valuable lessons can be learnt that can be applied to other development projects in Indonesia. Ultimately, the aim of this paper is to provide constructive recommendations to improve the planning and implementation process of infrastructure projects, so as to achieve a balance between development progress and the ethical principles that must be upheld.

The public demand for better vehicle performance is increasing. Increasing the compression ratio and fuel octane is one solution to improve vehicle performance. This study aims to determine the effect of increasing the compression ratio and ethanol mixture in fuel on the power and torque of the 125 cc Otto engine. The method used is an experiment using a dynotest. The compression ratio was varied to 8.9, 9.2, and 9.6, with ethanol mixtures of 5%, 10%, and 15%. The test data were analyzed using the two-way ANOVA method. The results showed that increasing the compression ratio and ethanol mixture can increase engine power and torque. The highest peak power and torque occurred at a compression ratio of 9.6 with 15% ethanol, which was 6.11 kW and 10.23 N.m. A compression ratio of 9.2 produces 6.07 kW of power and 10.07 N.m of torque at 15% ethanol. A compression ratio of 8.9 produces 5.62 kW of power at 15% ethanol and 9.73 N.m of torque at 10% ethanol.    

This research aims to examine the application of Sufism principles in a business context and its influence on mental resilience and business success.  The method used in this research is a qualitative approach with purposive sampling techniques and snowball sampling with subjects aged between 21-30 years who are entrepreneurs.  Data was collected through in-depth interviews with several entrepreneurs who apply Sufism in their business activities.  The research results show that the principles of Sufism such as patience, trust, sincerity and gratitude have a significant role in helping entrepreneurs overcome business pressures and challenges.  Entrepreneurs who apply Sufism principles are proven to have lower stress levels, higher motivation, and a better ability to make wise decisions.  Apart from that, the application of Sufism also has a positive impact on the balance between material and spiritual aspects, creating more holistic and meaningful business success.  This research makes an important contribution to understanding how the integration of spiritual values in business practices can improve entrepreneurs' mental well-being and drive sustainable success.

Hypertension is a chronic disease characterized by increased arterial blood pressure. Hypertension cannot be avoided, including in vulnerable groups such as the elderly because as age increases, the risk of hypertension increases so appropriate treatment is needed. Hypertension treatment can be done pharmacologically or non-pharmacologically. Non-pharmacological therapy in this case is foot soak therapy in warm water mixed with salt and lemongrass. The aim of the research is to implement warm water foot soak therapy with salt mixed with lemongrass for hypertensive patients into nursing care. The method used was descriptive with a killing process approach in 3 patients with a one group pretest posttest research design. The results of the warm water foot soak therapy mixed with salt and lemongrass showed a reduction in blood pressure, namely Mrs. N from 148/72mmHg to 138/64mmHg, Mrs. /85mmHg. In conclusion, there was a decrease in blood pressure after the foot soak therapy in warm water mixed with salt and lemongrass.

Introduction: Mothers are susceptible to experiencing postpartum blues syndrome during the postpartum period, or the period after giving birth. Rapid mood swings, feelings of sadness, worry, anxiety, and tiredness are signs of this syndrome, and mothers may feel more emotional and anxious, which can impact their mental health. Method: This type of research is quantitative analytical with a cross sectional approach. The population was postpartum mothers and the sample was 38 people with the inclusion criteria being postpartum mothers in the immediate postpartum to early postpartum categories who had previously had routine pregnancy checks in the Garut Regency Development Health Center working area. Data processing was carried out computerized with bivariate data analysis using the Chi Square statistical test. Results: The results of the study stated that 25 respondents had good husband support and 13 respondents had less husband support. Of the 38 respondents, 24 experienced postpartum blues . The results of this study stated that there was a link between husband's support and the incidence of postpartum blues , with a p value of 0.007. Conclusion: there is a connection between husband's support and the incidence of post partum blues, so that people can provide information to each other in preventing post partum blues . Health workers can also continue to be proactive in providing education to someone who plays the role of husband regarding the importance of maintaining the health of post partum mothers both physically and mentally for reproductive health and the health of mother and child .  

Coffee is a widely consumed beverage especially for Indonesian. Its consumption continues to increase. There is not much information and researches on the relationship between coffee consumption and dysmenorrhea. This literature study was conducted to find out more about the relationship between coffee consumption and the incidence of dysmenorrhea. This literature study is a narrative literature review, delves into the literature with an analytical observational design regarding the relationship between coffee consumption and the incidence of dysmenorrhea. The literature search was carried out through the PubMed, Proquest and ScienceDirect electronic databases based on predetermined inclusion and exclusion criteria. A total of 12 literatures were reviewed. From the results of the literature review, there are six literatures which state that coffee consumption is associated with dysmenorrhea and six other literatures state that coffee consumption is not associated with dysmenorrhea. The conclusion of this literature study is that the relationship between coffee consumption and the incidence of dysmenorrhea is still debatable .

Corticosteroid is one of the COVID-19 drug agents that has a pros and cons of its use because there has been a research that shows this drug had a negative impact and also there has been a research that recommend its use.This literature study conducted to discuss about role of corticosteroid towards COVID-19 patient’s outcome. This paper is a literature review that evaluates variant journals of original research with clinical study design about role of corticosteroid towards COVID-19 patient's outcome by selecting through electronic database such as PubMed, ScienceDirect, and CENTRAL with designated keywords. There are 16 literatures of clinical study design found through PubMed, ScienceDirect, and CENTRAL. It is know that the role of corticosteroid depend on patient's clinical characteristic and time given to the patients. It can be concluded that corticosteroid had role on improving oxygenation on patients with moderate-critical symptoms, reducing mortality rate on critical patients with hyperinflammation, and reducing the lenght of stay in the hospital.

This study aims to describe and analyze the Changes in the Function of Ngadu Tanduk Dance as a Traditional Dance of the Siulak Panjang Village Community. The type of research used is qualitative with a descriptive method. The instrument of this study is the researcher himself, with supporting instruments such as stationery and mobile phones. The data collection techniques used are literature studies, observations, interviews, and documentation. The data analysis techniques used include data collection, data reduction, data presentation, and data verification/conclusion drawn. The results of the study show that the Ngadu Tanduk Dance is a dance that originated from Siulak Panjang Village, Siulak District, Kerinci Jambi Regency. The change in the function of the Ngadu Tanduk Dance reflects the social and cultural dynamics of the local community that continues to develop. This dance initially only had a traditional function but now it also has an entertainment and performance function. Changes in function in the Ngadu Tanduk Dance are influenced by internal and external factors that interact in the context of the community. The internal factors that affect are changes in people's mindsets and the need for entertainment and cultural identity. While external factors are changes in the agricultural cycle and the influence of globalization and modernization.

This study aims to find out and describe the Implementation of Dance Art Learning in the Independent Curriculum in Class X.E4 SMA Negeri 2 Bayang. The type of research used in this study is qualitative research with a descriptive approach. The research instrument is the researcher himself and assisted by other instruments such as stationery and mobile phones. Data collection techniques include observation, interviews, literature studies and documentation. The steps in analyzing data are data collection, data reduction, classifying and concluding data. The results of the study show that the implementation of dance learning in the independent curriculum at SMA Negeri 2 Bayang has not been carried out properly, where there are several things in its implementation that are not in accordance with the teaching module so that the implementation is less effective. In terms of the learning methods used, teachers have used methods that are in accordance with the material. However, when teachers carry out training with material on functions, meanings and symbols through a variety of local dance movements, teachers have not used media in learning, such as the use of audiovisual media that can affect student learning outcomes.

The implementation of extracurricular dance at MTsN 3 Padang City is specifically research conducted to find out how students' interest in implementing extracurricular dance includes indicators of feelings of pleasure, interest, attention and involvement. This type of research is qualitative research with descriptive methods. The data collection techniques used were observation, interviews, questionnaires and documentation to find out directly about the implementation of arts extracurriculars at MTsN 3 Padang City. Then the results of the observations and interviews carried out in this research are described and described. The material taught is about randai. The teaching method used is discussion followed by practice. Based on the results of data analysis, 12 students who took part in the extracurricular, consisting of classes VII and VIII, showed that the interest of the students who took part in the Randai extracurricular can be categorized as good with an average score of 69%, because this method makes students feel interested and engaged. Regarding the extracurricular activities taught, students also often practice together and discuss movements and scripts that they do not yet understand. So the Randai extracurricular activities at MTsN 3 Padang City are running very well.    

The purpose of this study is to increase students' interest in the implementation of dance extracurricular activities at MTsN 7 Pesisir Selatan. This type of research is qualitative research with a descriptive analysis approach. The research instrument is the researcher himself and is assisted by supporting instruments such as stationery and cameras. Data collection techniques are carried out by means of literature studies, observations, interviews, and documentation. The steps to analyze data are data collection, data reduction, data presentation and conclusion drawn. Dance extracurricular activities are carried out in stages, starting with gathering students who are interested in participating in dance extracurricular activities, making schedules, and providing materials. Dance extracurricular activities began with the recruitment of new members, students who were interested in participating in dance extracurricular activities totaling 20 people. After carrying out extracurricular activities in dance with umbrella dance learning, students' interest began to increase, this can be seen from the enthusiasm of students who attended every meeting. Then from the learning carried out by 8 students who were able to perform dance movements with a good level of memorization, 10 students who lacked memorization and 2 students who had difficulty practicing the dance movements given by the coach during dance extracurricular activities with limited facilities and inadequate infrastructure.  

This study aims to describe and analyze the survival and sustainability of the Dua Dua Dance in the community in Tanjung Eran Village. This type of research is qualitative research with a descriptive method. The main instrument of this research is the researcher and is assisted by supporting instruments such as stationery and cameras. Data were collected through literature studies, observations, interviews and documentation. The steps of analyzing data are data collection, data reduction, data modeling, and drawing conclusions. The results of the study show that the survival and sustainability of the Knife Dance in Tanjung Eran Village, Pino District is still ongoing to this day through the Elan Sakti College taught by Datuk Ardin. The survival of the Dua Dua Dance can be seen in terms of the form of movement, costumes and rituals that have not changed from the past to the present. The ritual is to prepare offerings containing (black chicken/beetle chicken and brown rice), then prepare a complete betel nut containing (lime, betel, areca nut), prepare a basket of rice filled (rice, lime, white thread, needles, glasses filled with salt chili) and a bowl of Situngkat Guru White Cloth 1 piece per person and 3 colors of yarn (yellow, black,  white). The offerings that were prepared were used before becoming a member and after mastering the Pisau Dua dance is still carried out without any change at all. In terms of performing the Pisau Dua dance at an event, there is a procedure carried out by the dancer, namely bathing using lime. It is this resilience that makes sustainability in people's lives so that the Pisau Dua dance can be used in traditional ceremonies such as marriage ceremonies.

The main objectives are to identify emotion patterns hidden in K-Pop music based on audio features extracted from the Spotify API and to build an emotion classification model that can predict the emotions of K-Pop songs.In this approach, the K-Means algorithm is used to cluster K-Pop songs based on audio features such as energy, valence, tempo, danceability, and speechiness. The clustering results reveal several main groups that represent variations in musical characteristics and emotions. Next, the C4.5 algorithm was used to build an emotion classification model based on the clustering results. The C4.5 model showed high performance with accuracy reaching 99.48% on a 90:10 dataset split, 99.21% on an 80:20 split, and 98.95% on a 70:30 split.The Streamlit application was developed to visualize emotion predictions from K-Pop songs with a web-based user interface. In addition, Ngrok was used to provide remote access to this application, allowing users to test and use the application remotely.The results of this study show that the combination of K-Means and C4.5 can effectively cluster and classify emotions in K-Pop music, providing valuable insights into the musical characteristics that influence emotions. This application has the potential to be used in further analysis, development of intelligent features in music applications, and improvement of user experience in listening to K-Pop music.