Political communication is a crucial element in shaping public opinion, especially in the modern era influenced by the rapid development of information technology. This study aims to analyze the dynamics of political communication in contemporary society by highlighting the role of social media, political figures, and public participation in political discourse. The research employs a qualitative approach through literature review and discourse analysis of political communication phenomena in Indonesia. The findings reveal that political communication in the modern era is two-way, interactive, and heavily influenced by the fast-paced flow of digital information. This study is expected to contribute to enhancing political literacy and deepening public understanding of contemporary political dynamics.

Background: Hypertension is a chronic disease that requires long-term management through effective self-care behavior. Family support plays a crucial role in encouraging adherence and success in disease management among hypertensive patients. Method: This study used a quantitative approach with a cross-sectional design. A total of 106 respondents were selected using a consecutive sampling technique. Data were collected using validated and reliable questionnaires and analyzed using the Somers’ D test to determine the relationship between family roles and self-care management. Result: The majority of respondents received good family support (76.4%) and demonstrated good self-care management (61.3%). Statistical analysis showed a significant relationship between family roles and self-care management (p < 0.001), with a Somers’ D coefficient of 0.430. Family roles explained approximately 24.6% of the variation in patients' self-care behavior. Conclusion : There is a significant relationship between family roles and self-care management among hypertensive patients. Good family support, particularly emotional and instrumental support, can enhance the effectiveness of self-care in managing hypertension.
 
 

Domestic Violence (Kekerasan Dalam Rumah Tangga/KDRT) is a complex social phenomenon that requires continuous legal and social attention. In the context of Indonesia, the protection of domestic violence victims has been regulated under Law Number 23 of 2004 concerning the Elimination of Domestic Violence, which affirms that victims are entitled to protection, recovery, and legal assistance. However, the implementation of these protections faces several structural and cultural obstacles, such as social stigma against victims, limited human resources, and the influence of patriarchal culture that legitimizes violence within the household. Using normative legal research methods with statutory and conceptual approaches, this article analyzes the policy framework for the protection of domestic violence victims in Indonesia, as well as the roles of government and non-government institutions in providing such protection. The results of this study show that although the legal protection of domestic violence victims is clearly regulated, its implementation in practice remains suboptimal due to social and structural barriers. Therefore, strong legal policies must be supported by the synergy of law enforcement institutions, social organizations, and community participation to ensure effective and sustainable protection for victims. These findings are expected to contribute to the formulation of future policies that are more responsive to the protection of the rights of domestic violence victims.

Murder has a major impact on the victim and his family in terms of psychology, social, and economics. Therefore, it is only right that the victim and his family are given protection and equal attention as given to the perpetrator in the judicial process. However, in practice, the criminal justice system is still focused on the perpetrator and the criminalization process while the rights and attention of the victim and his family tend to be sidelined. This study aims to analyze the psychosocial impact on the victim and his family and the extent to which the guarantee and implementation of the protection of the victim's rights related to the case in Decision Number 448/Pid.B/2023/PN Serang. The method used in this study is empirical yuridical based on data obtained directly through interviews. The results of this study indicate that the victim's family from the case in Decision Number 448/Pid.B/2023/PN Serang experienced long-term psychological trauma, social stigma against the victim's partner because of the case's connection to infidelity, and economic difficulties due to the loss of the main source of income. In addition, there is also fear and insecurity about the occurrence of similar crimes in society. During the judicial process, the position of the victim and his/her family is merely an instrument needed to ensnare the perpetrator while their rights such as financial compensation, mental rehabilitation, and legal protection tend to be ignored. A more significant role for the victim as a subject entitled to recovery and legal protection will reflect a just and humane criminal justice system.

In recent times, the control of engineering processes has gained attention, making it critical to protect devices from operating beyond their designed capabilities. Therefore, this study investigates the modelling and optimization of gain factors for a MIMO-based PID controller employing a machine learning classifier approach. Traditional approaches like Ziegler-Nichols and Cohen-Coon may not handle dynamic coupling between channels well, struggle with nonlinearity, and always require manual tuning, which is tediously challenging and time-consuming. Machine-learning (ML) algorithms are introduced in this study to redesign and remodel the general model (GM) in MIMO fashion. We train and test the proposed model in Anaconda3 using Python programming on synthetic and iteratively generated datasets. Four different ML classifiers, namely, Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), and Naïve Bayes (NB), are employed to generate confusion matrices with accuracies of 30.67%, 72%, 25.33%, and 76%, respectively, using the PM system. Furthermore, the dataset corresponding to 76% of the NB is predicted to give an optimal output, as the output of the GM serves as the initial solution of the controller, and the test numerical results are fed back into the MATLAB scripts to produce an optimized version of the GM. Comparatively speaking, the GM, with an average settling time of 238.33 s, and the PM, with an average of 93.33 s, demonstrate faster steady-state response times, smaller gain, phase margins, and better overlap of the ideal gain factors on their target open-loop gain curves, depicting excellent stability. In addition, it can be inferred that the PM is more efficient than the existing model (GM) as it yields better-desired results. As a future direction, it is suggested that more machine learning classifiers, such as XGBOOST, neural networks, and K-nearest neighbour, be incorporated into the training and testing of larger datasets for better, improved, and optimized outputs.

This study used a simple pendulum to compare the accuracy and precision of the traditional method and Tracker video analysis in determining the acceleration due to gravity (g). The experiment involved two groups of participants: science teachers in the Philippines, who used the traditional method, and high school students in Uzbekistan, who employed video analysis. Both groups conducted multiple trials by measuring the period of the swinging pendulum. Data were collected by manually recording the pendulum’s motion with a stopwatch or through video analysis software, and the resulting periods were used to calculate g. The data were analyzed by comparing the measured values of g from both methods and assessing the precision and accuracy of each. The results indicated that the traditional method provided more accurate g measurements than the video analysis method, though both methods yielded results close to the accepted average value of 9.81 ms?2. The study suggests that both methods are feasible, but user experience and familiarity with the tools significantly impact the results.

Medical Physics is a branch of physics application that is developing very rapidly. Therefore, the contextualization of Medical Physics is crucial for future physics teachers. This research aims to implement Student-Teacher-Scientist Partnerships (STSP) in Medical Physics and explore students' perceptions of the learning experience through this program. STSP in this research involved prospective physics teachers as students, lecturers in medical physics courses as teachers, and medical physicists as scientists. The benefits of this research are to provide a learning experience of medical physics directly from experts (medical physicists) as a provision for prospective physics teachers to strengthen their knowledge of medical physics content and how to teach it, and to be a recommendation for learning strategies that support contextual physics learning. Implementing STSP in medical physics courses includes planning, implementation, and evaluation activities for one semester of lectures; lectures by the foremost scientists were held in 7 meetings (1 meeting = 2 x 60 minutes). The planning stage includes activities to equalize perceptions between scientists and related lecturers. The course was primarily student-centred, with case study discussions conducted online via Zoom meetings. The scientists were located in East Java Province, Indonesia, while the teachers and students were in East Kalimantan Province, Indonesia. The evaluation stage was carried out by exploring students' perceptions of the program implementation, the results of which can later be used as a reference for the continuation of the program implementation. Results indicated that STSP activities facilitated easier comprehension of medical physics, increased interest in further study, and highlighted connections between course topics and secondary school curriculum.   

Gifted students have varying learning characteristics and learning needs. In this respect, adapted support to their skills and learning characteristics during academic activities plays a key role in engaging in learning activities and achieving learning goals. Accordingly, this study focuses on teachers' support of adaptivity competencies during microteaching from the perspective of both gifted and nongifted students. To this end, a descriptive comparative method was adopted, and gifted (n=124) and non-gifted (n=205) students joined the study. An adapted version of the Questionnaire on Teachers’ Support Adaptivity was employed for collecting data. Data were quantitatively analysed including MANOVA and ANOVA. The results revealed that both groups perceived the support they received from teachers as slightly above and below average, meaning that teachers were not competent. In deep analysis, results indicated a significant difference between the two groups, but no difference between girls and boys. That is, gifted students are more disadvantaged than nongifted students since their teachers lack strategies in adapting their support to meet the different academic needs of their students. This study recommends that teachers need pre-service or in-service training to offer quality and appropriate support for gifted students, which is crucial in achieving learning goals.                                                                                                 

The goal of this community service program is to provide knowledge about the application of restorative justice in the region within the framework of a rule of law, where the criminal justice system in Indonesia is currently still dominated by a retributive approach, which focuses on punishment and revenge against offenders of criminal acts. This approach often receives criticism due to the lack of attention to the recovery of victims and the social reintegration of offenders. This has encouraged the search for alternative resolutions to criminal acts that are more humane and focused on recovery, yet still within a legal framework. One alternative that has gained a lot of attention in recent years is restorative justice (restorative justice). Restorative justice is a problem-solving method through deliberation. This approach emphasizes the restoration of relationships between the offender and the victim, as well as the social reintegration of the offender. Restorative justice views criminal acts as violations of social relationships, rather than merely violations of the law. However, the issues faced by the community regarding the implementation of Restorative Justice in the area are still very unfamiliar, with many people not yet knowing or understanding it. Through this socialization, it was found that the community is capable of understanding the procedures for resolving disputes through community leaders using restorative justice.
Keywords: Restorative Justice, Rule of Law, Mulur Village

This study aims to evaluate the transparency and effectiveness of the use of the 2025 Regional Revenue and Expenditure Budget (APBD) in flood management in DKI Jakarta Province. Although the provincial government has allocated a large budget, the problem of flooding is still an annual issue that has not been resolved. Using a qualitative case study approach and George C. Edward III's policy implementation theory as an analytical tool, this study examines four key variables: communication, resources, implementer disposition, and bureaucratic structure. The results of the study indicate that policy implementation faces various obstacles such as communication with minimal public participation. Limited technical and human resources, implementer caution due to bureaucratic pressure, and weak integration between agencies. This study concludes that the problem of flooding in Jakarta is not only related to technical aspects, but is also a reflection of the suboptimal regional financial governance and sustainable and accountable public policy implementation system.