This study aims to investigate the role of SWOT analysis in the strategic decision-making process at Warcaf, Warcaf is a business operating in the culinary sector. In the context of increasingly tight business competition today, it is very important for a company to have a good strategy in order to remain competitive in the market. SWOT analysis, including the recognition of strengths, weaknesses, opportunities, and threats, serves as a fairly efficient instrument in designing strategies that are in accordance with the company's internal and external situations. The method applied in this study is a qualitative approach, where information is obtained through in-depth interviews with Warcaf management. This study shows that SWOT analysis not only plays a role in the strategic decision-making process, but also as a basis for long-term planning. It is expected that this study can provide contributions such as information and strategies in the culinary industry.

The curriculum for education and training is a plan, objectives, content, and learning approach that is structured to direct the education process in order to achieve certain abilities in students or training participants. In a formal education environment, the curriculum serves as the main guide for institutions and educators in setting learning targets, compiling teaching materials, choosing teaching techniques, and assessing educational outcomes. On the other hand, in training programs, the curriculum focuses more on achieving specific skills needed in the work environment, with materials and strategies adapted to the needs and character of the participants. The main elements of the curriculum include objectives, content, methods, and evaluation, all of which must reinforce each other to ensure the achievement of the desired results, both in cognitive, affective, and psychomotor aspects. The process of developing an education and training curriculum requires needs analysis,es goal setting, content development, selection of learning experiences, and preparation of appropriate evaluation instruments. Therefore, the curriculum in education and training not only functions as a tool for planning and organizing learning, but also as a driver of change and improvement in the quality of human resources that are responsive e, and needs in the world of work.

As a wing organization of the National Mandate Party, Barisan Muda Penegak Amanat Nasional (BM PAN) is strategically responsible for fostering youth leadership at the regional level, including in Lampung Province. The purpose of this study is to investigate the role of BM PAN Lampung in shaping the character of youth leadership through various training, advocacy, and cadre programs. The method used is a qualitative approach that uses participatory observation, documentation studies, and in-depth interviews to collect data. The study shows that BM PAN Lampung has the ability to facilitate constructive political participation for youth and become a place to build leadership skills oriented towards national values. This organization has shown that its cadre program has succeeded in increasing political awareness, public communication skills, and managerial skills among its members. In addition, as shown by Santoso (2014) and Mulyadi (2018) about the importance of youth participation in political regeneration, this study found that youth organizations such as BM PAN play an important role in enhancing participatory democracy at the local level. 

This study aims to analyze the level of efficiency and effectiveness in managing tax revenues in Indonesia and its contribution to national economic development. Taxes are the primary source of state funding and play a crucial role in supporting development programs and welfare distribution. However, there remains a gap between tax potential and realization, indicating the need to evaluate the current tax administration system. This research adopts a descriptive quantitative approach using secondary data from DJP, BPS, and the Ministry of Finance covering the 2019–2023 period. The findings show that tax collection effectiveness has been relatively high in the last two years, as indicated by revenue realization exceeding targets. Nevertheless, efficiency remains low due to suboptimal digital systems and limitations in human resource capacity. Effectiveness is also strongly influenced by information technology and the performance of tax officials. The study concludes that tax reform focused on digitalization and transparency must be strengthened to support sustainable economic development. These findings have important implications for future fiscal policies and suggest opportunities for further research using mixed-method approaches.

This study discusses the liability of directors for unlawful acts in the form of merging personal assets with corporate assets in the context of bankruptcy of limited liability companies. Although the principle of separation of assets protects the personal assets of directors, there are conditions in which this principle can be revealed through the principle of piercing the corporate veil. The merging of personal assets by directors, which causes losses or bankruptcy of the company, can be held accountable. The Limited Liability Company Law and the Civil Code emphasize that if proven to have committed unlawful acts or negligence in carrying out their duties, directors can be sued in civil court and their assets confiscated as part of the bankruptcy estate. This study applies a normative legal approach and a literature study method to analyze legal norms and the liability of directors for losses due to bankruptcy. The aim is to provide an understanding of the legal liability mechanism for directors who abuse their authority in managing corporate assets. By applying the principle of justice, directors can be held personally responsible for the protection of creditors and fair law enforcement.

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.