The rapid evolution of digital technology has reshaped workforce training paradigms, with Artificial Intelligence (AI) emerging as a transformative tool. This study investigates the opportunities and challenges of implementing AI-based training systems to enhance workforce skills in the digital era. Data were collected through surveys, in-depth interviews, and focus group discussions involving industry practitioners, AI developers, and workers. The results indicate a training effectiveness average of 70.2% (SD = 9.8) and satisfaction levels averaging 75.4% (SD = 8.5). Logistic regression analysis revealed a significant positive relationship between AI adoption and skill improvement, with a success probability of 68.9%. Despite these promising outcomes, challenges such as limited digital infrastructure, low digital literacy, and resistance to technology adoption persist, particularly in developing regions. This study provides strategic recommendations for inclusive digital transformation, emphasizing collaborative efforts between governments, private sectors, and educational institutions. These findings contribute to theoretical and practical knowledge for advancing AI-based training systems and fostering a sustainable, equitable workforce transformation.

The increasing use of mobile devices has increased the risk of data theft, posing significant security challenges for individuals and organizations. This study proposes an early detection system for data theft on mobile devices using machine learning algorithms. The system is designed to identify suspicious patterns in application usage, network access, and CPU/memory activity, providing early warnings to prevent potential data loss. By employing algorithms such as Random Forest, Support Vector Machine (SVM), and Convolutional Neural Network (CNN), the developed models demonstrated significant performance: CNN achieved the highest accuracy of 95.1%, with a precision of 94.2%, recall of 93.5% , F1-score of 93.8%, and AUC-ROC of 0.96. Random Forest and SVM also showed competitive performance with accuracy rates of 94.7% and 92.5%, respectively. These findings highlight the high potential of machine learning algorithms for real-time detection of data theft threats, providing adaptive protection against evolving cyberattack methods. This approach offers a promising solution to strengthen mobile device security frameworks and safeguard user data against increasingly sophisticated cyber threats.

Interpersonal communication is a fundamental aspect in maintaining harmonious relationships between family members. In broken home families, the communication process often experiences obstacles due to division, conflict, or the absence of one of the parental figures, which has an impact on the psychological condition of the child and the dynamics of family relationships. This phenomenon is important to study in order to understand how communication can continue amidst these limitations. This study aims to determine the form of interpersonal communication that occurs in broken home families, especially in terms of six main aspects: openness, empathy, support, positive feelings, equality, and similarity. This study uses a qualitative approach with a descriptive study method. Data collection techniques were carried out through in-depth interviews with three informants from broken home families in Lembang Village, West Bandung Regency. The results of the study showed that interpersonal communication in broken home families tends not to run optimally. Most informants have difficulty in building open and equal communication. Even so, there are efforts from each individual to maintain relationships through aspects of empathy and emotional support, although in a limited form. In conclusion, interpersonal communication in broken home families is greatly influenced by emotional conditions, parenting patterns, and closeness between family members. Even though it is not completely harmonious, some aspects of communication can still be formed, especially if there is a willingness from the parties involved to understand and support each other.

Oil palm is a key commodity supporting Indonesia’s economy through exports and employment. The industry’s success depends heavily on the selection of superior seedlings, which determine productivity, crop quality, and resistance to pests and diseases. Manual selection, however, often leads to subjectivity and inconsistency due to limited human resources and genetic variation. To address this, the study applies the Naïve Bayes algorithm for classifying oil palm seedlings based on seven variables: height, stem diameter, number of leaves, leaf color, disease resistance, root growth, and fruit yield. Using an explanatory quantitative method, the study follows seven stages: identifying problems, literature review, collecting 1,000 data entries from PT Intitama Berlian Perkebunan, data pre-processing, system modeling (UML), algorithm implementation, and evaluation using a confusion matrix and black box testing. Data was split into 80% training and 20% testing. The Naïve Bayes-based classification achieved 95% accuracy and perfect recall (1.00) for the superior seedling class. However, its performance on the minority class (non-superior seedlings) was weaker due to dataset imbalance. Black box testing verified all system functions worked correctly, enabling effective and efficient use by administrators. The study concludes that Naïve Bayes improves objectivity, efficiency, and accuracy in seedling selection. Nonetheless, attention is needed on data balancing and optimization to maintain consistent performance across classes. This system shows strong potential as a decision-support tool in plantations and promotes digital transformation in agricultural processes.

Criminal liability is a form of imposing punishment on the perpetrator of a crime because of his/her unlawful actions. In other words, criminal liability determines whether a person will be acquitted or convicted of a crime that has been committed. This process involves the transfer of the existing punishment for the crime to the perpetrator. This research is a normative research. The results of the research show that Criminal liability for perpetrators who participate in the crime of murder, anyone who intentionally helps, plans, or plays an active role in murder can be held criminally responsible, either as the main perpetrator or as a participant (medeplichtige or medepleger). The sanctions imposed depend on the role and level of involvement of each perpetrator, in accordance with the principle of criminal responsibility and the element of error in criminal law. This must be reviewed carefully by the judge so that in making a decision on the defendant, it can have a deterrent effect on the perpetrator and not cause unrest for the victim's family regarding the decision handed down by the judge. The judge's decision to impose a light sentence on the perpetrator who participated in a crime that resulted in the death of a person shows an imbalance in law enforcement. This injustice can be caused by the judge's non-objective considerations, weak evidence, or lack of bias towards justice for the victim. This kind of decision risks weakening the deterrent effect and public trust in the justice system.

Service quality is the level of excellence or specialty of a service that can meet the needs and expectations of the community. Public service is an activity carried out by the government and other institutions to meet the needs of community services in accordance with laws and regulations. This service can be in the form of public goods, public services, and/or administrative services. The purpose of this study was to determine the quality of service in issuing Business Identification Numbers for micro businesses at the Pekanbaru City Investment and One-Stop Integrated Service Office and its supporting and inhibiting factors. This study uses a qualitative approach. Data collection techniques use interviews. Data analysis in this study was carried out using qualitative descriptive. The results of the study explain that the quality of service is already in the good category which is assessed from the transparency in the services provided where there is openness in the service process, services that are in accordance with the rules and there is ease in the service process. The principle of accountability in improving service quality to ensure that each service can be accounted for and provide services in accordance with the conditions that have been set. Community participation in improving services has been carried out well by providing services according to rights and balance. Supporting factors in improving service quality include the ability of employees to serve, the availability of supporting facilities and infrastructure, and the development of a better service system as part of improving services. While inhibiting factors include increased supervision and complicated bureaucracy in efforts to improve services.

This study aims to examine the efforts in human resource (HR) planning and development to enhance productivity and work effectiveness at Suzuki Company, Sutomo Branch. Well-structured HR planning and competency development strategies are considered crucial factors in supporting the achievement of operational targets and improving overall company performance. The research adopts a descriptive qualitative approach with data collected through interviews, observations, and document analysis. The findings indicate that continuous training programs, regular performance evaluations, and structured career management have a positive impact on employee motivation and operational efficiency. Therefore, focused and consistent HR planning and development are essential strategies for creating competitive advantages amidst the increasingly intense competition in the automotive industry.

Tuberculosis (TB) is currently a public health problem in the world, especially in Indonesia. Pulmonary TB is ranked 2nd as the main cause of death from infectious diseases after Human Immuno deficiency Virus (HIV). Pulmonary Tuberculosis is easily spread through the air when people who are sick with Pulmonary Tuberculosis release bacteria through the coughing mechanism. The spread of these bacteria is through sputum splashes or droplet nuclei released by TB sufferers through coughing, sneezing or talking face to face. The increase in TB cases is related to the degree of health in the community. The biggest factors that affect the degree of health are environmental factors and community behavior itself which can be detrimental to health. Risk factors for Tuberculosis transmission are environmental factors and behavioral factors, environmental factors include ventilation, housing density, temperature, lighting and humidity. While behavioral factors include smoking habits, spitting or throwing phlegm anywhere, coughing or sneezing without covering the mouth and the habit of not opening windows and not implementing clean and healthy living behavior (PHBS). This research method is a quantitative study with statistical tests with a cross-sectional design. This study was conducted at SMP 4 Ulee Rubek, North Aceh in November 2024. The research sample consisted of 15 children, Data collection techniques using questionnaires. Data analysis used descriptive statistical tests to test adolescents' knowledge about how to prevent TB. In addition to effective coughing, there are several ways to control pulmonary tuberculosis, namely by cultivating a clean and healthy life and cultivating ethical coughing behavior.

Since the era of COVID-19 until now, maintaining personal hygiene has become a shared obligation globally. In Indonesia, soap is an essential item for both personal hygiene and environmental hygiene. Due to the great public interest in soap, especially facial soap, there are now more choices for businesses to make soap for the local market. Empowering the surrounding community, especially the PKK women's organization, to make facial soap can be done independently or in groups because the method of manufacture is quite simple. The general public's knowledge of the components and methods of making facial soap is still very minimal. This community service activity aims to teach PKK women’s how to make face soap and give them insight into home-based business options. PKK women in Cikageman Village, Setu, Bekasi Regency became a group of activity partners. This activity is expected to be able to improve people's welfare, especially in the economic sector, as well as increase knowledge and independence in entrepreneurship. This community service activity uses a strategy that includes partner coordination, counseling, assistance in making face soap, evaluation, and follow-up. The end result of this community service activity is in the form of facial soap products that have been packaged and distributed to local residents, as well as partner groups who already have skills in producing face soap independently.

This study aims to analyze the theory and implementation of decision-making in public administration and to examine its relation to Rational Choice Theory. In the context of public administration, decision-making is influenced not only by norms and bureaucratic structures but also by the rationality of the actors involved. Rational Choice Theory views individuals as rational agents who make decisions based on cost-benefit calculations to maximize personal interest. This study adopts a qualitative approach using literature review and content analysis methods on public policies and relevant case studies. The findings reveal that the implementation of decision-making in the public sector is often not entirely rational due to the influence of political, social, and cultural factors. Nevertheless, elements of Rational Choice Theory remain an important framework for understanding the motivations of bureaucratic actors in formulating and executing policies. This study recommends integrating rational approaches with normative and contextual perspectives in public administration practices to produce more effective and responsive decisions.