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The hospitality sector faces major challenges, including fierce competition, low occupancy rates, and high operating costs, especially post-COVID-19 pandemic. This article examines how adaptation strategies, particularly through digital investments, affect customer satisfaction and hotel occupancy rates. This study uses a mixed method approach, combining quantitative and qualitative methods. Qualitative data was collected through in-depth interviews with managers, staff, and guests at five hotels in Semarang, Indonesia, to identify key factors for successful adaptation. Qualitative data are analyzed using MAXQDA software. Quantitative data were analyzed by multiple regression. The results show that investment priorities are a key driver of successful adaptation, although supporting factors such as improved facilities, quality of service, and the involvement of all personnel. Quantitative findings show that hotel adaptation strategies significantly affect customer satisfaction (influence of 47.10%) and occupancy rate (influence of 38.40%). Digitalization enhances operational efficiency, allowing staff to focus on personal interactions. Technologies like AI-based recommendations and mobile check-in directly improve the overall guest experience, correlating with loyalty. The conclusion of the study is that strategic digital investments, improved service quality and active staff engagement, are key to improving customer satisfaction, optimizing occupancy rates, ultimately, driving hotel revenue growth in the post-pandemic era.

This study discusses the introduction of digital signature patterns using the Backpropagation method on Artificial Neural Network (JST) to identify a person's characteristics and potential. The increasing use of digital identities demands a verification system that is more secure, accurate, and adaptive to the variations of each individual's signature. The main problem faced in the signature recognition system is the low level of accuracy when the visual features of the signature have similarities between users, both in terms of shape, size, and stroke pressure. In addition, variations of signatures made by the same individual are also a challenge in the identification process. As a solution, this study implements Principal Component Analysis (PCA) to extract important features from the signature image before the training process using JST. PCA is used to reduce the data dimension so that the learning process becomes more efficient and optimal. A total of 80 signature images were used in this study, consisting of 60 training data and 20 test data. The results showed that the system was able to achieve an accuracy level of 92.5%. These findings prove that the combination of PCA and JST methods is effective in recognizing digital signature patterns and has the potential to be applied to digital security-based biometric identification systems.

The rapid growth of social media in Indonesia has transformed marketing communication strategies, particularly in producing creative promotional content. Instagram Reels has emerged as an effective platform for building brand awareness through short and engaging videos. This study was conducted during an internship at PT Waskita Fim Perkasa Realti and focuses on the production process of Instagram Reels content for Vasaka Solterra. The first objective is to examine the workflow of promotional video production across three stages, pre-production, production, and post-production. The second objective is to identify challenges faced by the Marketing Communication Division. Using qualitative methods, including observation, interviews, participation, and literature review. This study found that pre-production involves idea development, content research, and storyboard creation. The production stage includes smartphone-based video shooting and voice-over recording to ensure message clarity. Post-production centers on editing using CapCut and applying a consistent visual identity before publication. The study also identifies several obstacles, such as limited human resources, minimal equipment availability, and coordination delays with external partners. These findings highlight the need for increased production personnel, improved interdepartmental collaboration, and enhanced equipment support to optimize the overall content production process.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

Internal control is a crucial aspect for SMEs in maintaining the reliability of revenue recording and preventing the risk of misappropriation. This study aims to analyze the implementation of internal control in the revenue cycle at Exmo Tea Café and to evaluate its effectiveness through internal audit. The research uses a qualitative descriptive approach with data collection through interviews with management personnel directly involved in transactions and financial recording. The analysis is conducted using the COSO framework, which includes five main components: control environment, risk assessment, control activities, information and communication, and monitoring. The research results indicate that Exmo Tea Café has implemented several basic elements of internal control, such as recording transactions through a cashier application, daily cash reconciliation, and reporting to the owner. However, the effectiveness of these controls is still limited because the segregation of duties between receiving and recording is not optimal, risk assessment is reactive, documentation and report archiving are not systematic, and monitoring is conducted informally. In addition, there are no formal policies regarding operational standards (SOPs) or internal audit procedures that could serve as guidelines for continuous control implementation. These conditions have the potential to lead to risks of fraud, recording errors, and delays in financial reporting. Therefore, these findings underscore the need for a comprehensive enhancement of the internal control system, including strengthening the separation of duties, conducting preventive risk assessments, providing employee training related to financial governance, as well as implementing more formal monitoring and documentation. These improvements are expected to increase reporting accuracy, operational effectiveness, and minimize the potential for errors or fraud in the company's financial activities.  

The issue of street vendors (PKL) in Sidoarjo Regency, particularly in the Gading Fajar area, has become a significant concern as it relates to public order, the use of public space, and the economic dynamics of small communities. To address these challenges, the Sidoarjo Regency Government enacted Regional Regulation Number 3 of 2016 as the legal basis for structuring and empowering PKL. This study examines how the regulation is implemented in practice and evaluates its effectiveness using a qualitative descriptive method through interviews, observations, and documentation, analyzed with Leo Agustino’s policy evaluation model, which assesses five key aspects: administrative resources, institutional coordination, infrastructure and technology, financial support, and regulatory adequacy. The findings show that the implementation of the regulation has not yet reached optimal performance, as limited socialization, insufficient personnel, weak coordination among agencies, inadequate supporting facilities, and low compliance with zoning rules hinder the achievement of policy objectives. These issues are reflected in the continued presence of PKL operating in non-designated areas despite clear regulatory provisions. Therefore, strengthening institutional capacity, improving facilities, enhancing enforcement consistency, and developing more operational technical guidelines are essential to ensure more effective and sustainable management and empowerment of street vendors in Sidoarjo Regency.

William Shakespeare’s drama Antony and Cleopatra illustrates various aspects of hedonism, especially in the pursuit of love, power, and desire. These behaviors are reflected in the way the characters prioritize personal pleasure over political duty, showing how immediate gratification often clashes with responsibility. This study aims to explore the different types of hedonism represented in the play. A qualitative descriptive approach is used to analyze the dialogues and actions of the main characters, Mark Antony and Cleopatra, based on Weijers’ (2012) framework. The results reveal six categories of hedonism: folk hedonism (30%), value/prudential hedonism (20%), motivational hedonism (15%), normative hedonism (12.5%), utilitarian hedonism (12.5%), and egoist hedonism (10%). Among these, folk hedonism is the most dominant, particularly in Antony and Cleopatra’s pursuit of love and passion without considering the consequences for their political roles. The research shows that Antony and Cleopatra reflects how the pursuit of personal pleasure can shape character development, create conflict, and even lead to tragedy, illustrating timeless patterns where short-term desires overshadow long-term responsibilities.

Social conflict within labor collectives represents a recurrent phenomenon shaped by contradictions in interests, goals, and authority relations. Drawing on classical and contemporary sociological perspectives, this study examines how conflicts emerge, evolve, and can be effectively resolved in modern enterprises. This research employs a qualitative, literature-based approach through comprehensive analysis of theoretical writings by Parsons, Coser, Dahrendorf, Simmel, and Boulding, complemented by documented organizational studies such as the Hawthorne experiments. The method emphasizes conceptual interpretation, comparative theoretical analysis, and synthesis of conflict dynamics. Findings show that conflicts originate from both structural and psychological factors, including material dissatisfaction, violations of labor norms, personality differences, and unequal authority relations. Interpersonal, intragroup, and intergroup conflicts follow identifiable stages—from latent tensions to escalation and resolution. Trade unions play a critical role in mediating disputes and promoting social partnership. Theoretical convergence indicates that conflict is multifactorial and inherent within organizational systems. When constructively managed, conflict can enhance group cohesion, clarify values, and contribute to organizational development. This highlights the necessity of socio-psychological awareness in modern management.

This article explores the concept of a “House of Faith” as a holistic educational framework designed to build students’ character based on religious values. The fundamental idea of the House of Faith is likened to a school environment that provides a comfortable and safe space for students to develop their faith and noble character through learning activities connected to religious teachings. A religious school environment is created through everyday atmospheres that encourage the practice of worship, the presence of religious symbols, and community activities that strengthen students’ spirituality. Programs to reinforce religious spirit include activities such as communal prayers, religious studies, and social projects designed to gradually enhance students’ spiritual awareness. Teachers and educational staff play a highly effective role, acting as role models and facilitators in the learning process. Their approach to instilling faith and moral values involves interactive methods such as group discussions, inspirational stories, and personal reflection, all adapted to students’ developmental stages. Collaboration between the school and parents becomes a key factor in ensuring consistent support. This is carried out through regular meetings, joint workshops, and open communication that reinforces family values. The impact of religious spirit on students can be seen in increased discipline, social empathy, emotional resilience, and stronger academic motivation. However, implementation faces challenges such as limited curriculum time, diversity of student backgrounds, and cultural resistance. These challenges are addressed through solutions, including regular teacher training, program evaluation, and the integration of technology for distance learning. Overall, the article emphasizes that a school functioning as a House of Faith can shape young generations who are not only intellectually capable but also strong in faith and morals, contributing to a more harmonious and meaningful society.

Children living in orphanages face various psychological pressures, such as the loss of attachment figures, unstable social dynamics, and difficulty expressing emotions adaptively. These conditions require appropriate coping strategies to build emotional resilience. This community service activity utilizes a Service Learning (SL) approach, which integrates academic learning with community service. It aims to provide psychoeducation on emotions and coping strategies, and implements expressive writing as a means of emotional processing. The activity methods included interactive lectures, a pretest and posttest to measure understanding, an expressive writing therapy session, and a reflective interview at the end of the activity. Results showed an increase in understanding of emotions and coping strategies, as evidenced by improved posttest scores. Furthermore, expressive writing helped children express previously suppressed emotions, reduced psychological tension, and fostered a sense of relief, calm, and insight into personal problems. Overall, expressive writing has proven effective as a coping strategy in building emotional resilience in orphanage children, and the Service Learning approach has the potential for sustainable application in psychosocial support programs.

The development of military communication technology requires effective, secure, and adaptable communication systems suitable for training and operational environments. During the implementation of Karkata Yudha Practical Training, Marine Corps cadets still experience various communication constraints due to the limitations of conventional communication devices that do not support hands-free operation, noise resistance, and communication confidentiality. This study aims to analyze the utilization of Tactical Radio Person Headsets as a communication support tool to enhance the effectiveness and efficiency of Karkata Yudha practical training for Marine Corps cadets. This research employed a qualitative method with a descriptive-analytical approach. Data were collected through direct observation of training activities, in-depth interviews with communication experts from the Marine Corps, and documentation studies. Data analysis was conducted using SWOT analysis to identify strengths, weaknesses, opportunities, and threats related to the implementation of Tactical Radio Person Headsets. The results indicate that the utilization of Tactical Radio Person Headsets significantly improves tactical communication quality, accelerates coordination among units, and supports maneuver execution and decision-making in the field. The challenges identified include limited equipment availability, procurement costs, and the need for technical training for users. Overall, Tactical Radio Person Headsets demonstrate strong potential to be integrated into Marine Corps cadet training systems to enhance operational readiness and professionalism in the future.

Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence technology develops, deep learning methods have been widely used in classification processes due to their ability to process large amounts of data and recognize complex patterns. In this study, a Multilayer Perceptron (MLP) model is used to classify tourists' preferences between mountain or beach destinations based on a survey dataset. The research stages include data processing, data splitting using a train-test split, model training, and performance evaluation using accuracy, precision, recall, and F1-score. The test results show that the MLP model is capable of achieving an accuracy rate of 99%, confirming that deep learning methods are effective in automatically mapping tourism preference trends. This research is expected to serve as a basis for the development of more personalized travel destination recommendation systems, as well as to support tourism management in formulating targeted promotional strategies.

The Indonesian Navy Academy is a military educational institution that produces cadets to become professional and reliable Indonesian Navy officers. Cadets are required to have strong physical and mental strength to achieve responsiveness, resilience, and resilience in undergoing education, training, and upbringing. To support learning and training activities, quality food intake and service are required. Quality meal service is needed in order to increase the satisfaction of AAL cadets during meal activities in the Hadiwinarso Rds Loungeroom. For this reason, qualified Human Resources are needed to man the Hadiwinarso Rds Loungeroom, namely Cooks and Waiters in improving meal services for cadets. The researcher focused on personnel development and made it as input to optimize the cooks and waiters in the Hadwinarso Rds Loungeroom to improve meal services for cadets. In this study, the SWOT method was used to reveal internal and external factors that influence the performance of Waiters and Cooks. This study is expected to find the right optimization strategy by identifying strengths, weaknesses, opportunities, and threats. After conducting a SWOT analysis, a strategy was obtained to optimize Waiters and Cooks with a combination strategy of Weakness-Opportunity in quadrant III. W-O strategy (supporting the Turn-Around strategy) namely the organization faces enormous opportunities, but on the other hand faces several internal obstacles/weaknesses with the focus of the strategy being to minimize internal weaknesses so that it can seize better opportunities. The results of the study show that the W-O Strategy that the author found is Strategy 1: Given training/courses according to their fields so that they can work optimally and acquire new skills, Strategy 2: Cooks and Waiters have experience in supporting protocol activities at AAL well. Working well and having experience is capital to open up opportunities for PHL to be appointed as PNS or promoted to division head/kitchen head by considering the working time and amount of experience during AAL, Strategy 3: AAL needs to have standardization in recruiting workers so that later workers are ready to be placed to work according to their fields and open up opportunities to continue improving skills/abilities through courses/training provided by AAL. Meanwhile, to standardize recruitment, researchers provide specific requirements for job applicants interested in becoming cooks and waiters at the Loungeroom at Rd. S Hadi Winarso

This study examines how AI-driven personalized learning is reshaping educational psychology and pedagogical innovation across global learning environments. Using a qualitative methodology supported by library research and content analysis, the article synthesizes contemporary literature on adaptive learning systems, intelligent tutoring technologies, and real-time feedback mechanisms. Findings reveal that AI significantly reconfigures cognitive processes by providing individualized learning pathways, dynamic assessments, and continuous feedback that strengthen metacognitive skills and learner autonomy. The study further identifies the transformative role of AI in redefining student motivation, reinforcing self-regulated learning, and enhancing engagement through adaptive challenges and gamification elements. Pedagogically, AI shifts teachers’ professional identities toward roles as facilitators, data interpreters, and learning designers, underscoring the need for robust digital literacy and ongoing professional development. Additionally, AI implementation is shaped by cultural nuances and equity concerns, particularly regarding access, inclusivity, and algorithmic fairness. Ethical considerations related to data privacy, transparency, and student well-being are essential for sustainable AI integration. Overall, this study highlights AI’s potential to advance personalized learning while emphasizing the need for ethical, human-centered frameworks that protect learners and ensure equitable educational transformation.

Early childhood is a critical period for growth and development, characterized by rapid changes in neurological, motor, sensory, and emotional systems. Stimulation during this stage plays a vital role, and non-pharmacological interventions such as massage and aromatherapy may enhance developmental outcomes. This quasi-experimental study employed a pretest–posttest control group design to evaluate the effectiveness of infant massage combined with aromatherapy. Twenty infants aged 3–12 months who met inclusion and exclusion criteria were recruited and assigned to either a control group (infant massage only) or an intervention group (infant massage with aromatherapy). Growth parameters (weight, length, head circumference) and developmental outcomes were measured using the Developmental Pre-Screening Questionnaire, covering gross motor, fine motor, language, and personal-social domains. Infants in the intervention group demonstrated significantly greater improvements in body weight, body length, head circumference, and developmental scores compared to the control group. These findings indicate that the addition of aromatherapy to infant massage provides measurable benefits for both physical growth and developmental progress. Combined infant massage and aromatherapy represent effective non-pharmacological strategies for early stimulation, supporting optimal growth and developmental trajectories in infants.

This study aims to describe the difficulties faced by Geography teachers at SMAN 1 Sunggal in identifying students' learning potential and interests during the implementation of the Merdeka Curriculum. The research uses a descriptive qualitative approach with primary data consisting of in-depth interviews and non-participant observation of two experienced Geography teachers. The research findings indicate that teachers face major constraints, including limited time for formal diagnostic assessments, a lack of practical training on diagnostic assessments, a large number of students making individual observation difficult, and the absence of adequate assessment instruments. The teacher's efforts to overcome these difficulties include a personal approach to students, behavioral observation, and varied teaching methods, although these are not yet optimal in supporting differentiated learning. This research provides important recommendations for the development of teacher training and school policies to more effectively support the assessment of student potential and interests within the context of the Merdeka Curriculum.

This research undertakes a comparative analysis of the concept of divorce within the frameworks of Islamic Family Law and Buddhist Ethics. Marriage, recognized as a profound bond of both physical and spiritual union, holds significant value in both religious traditions. However, contemporary social realities reveal a high incidence of divorce, prompting a critical examination of the legal and ethical mechanisms governing its dissolution. Within Islamic jurisprudence, divorce (talak) is permitted but considered detestable by Allah, governed by stringent procedural mechanisms including talak (the husband’s right), khulu’ or gugat cerai (the wife’s right to initiate), and fasakh (judicial intervention). These processes carry clear legal implications concerning the waiting period (iddah), the possibility of reconciliation (rujuk), and the division of marital property. Conversely, while Buddhism does not explicitly prohibit divorce, the teachings of the Buddha strongly encourage spouses to exhaust all avenues for peaceful conflict resolution before considering separation as a last resort. The ethical framework in Buddhism grants equal rights to both parties to dissolve the marriage. This study employs a qualitative descriptive analytical method through library research, drawing upon primary legal texts such as Indonesia’s Law No. 1 of 1974 on Marriage and the Compilation of Islamic Law (KHI) for Muslims, alongside the Vinaya Pitaka for adherents of Buddhism. The findings indicate that while both traditions view divorce as a final option, they diverge fundamentally in their legal structures; Islamic law establishes specific, gender-differentiated rights and obligations, whereas Buddhist ethics emphasize mutual consent and personal responsibility without formal legalistic procedures. The research concludes by recommending that couples, regardless of faith, prioritize reconciliation and peace, aligning with the core principles of both religions, and urges policymakers and legal practitioners to promote harmonious family life and reconsider legal frameworks that might better serve the welfare of children and families.

This papper reviews a range of studies that examine the influence of cultural and religious differences on the effectiveness of the counselor–client relationship. The main focus is on how cultural identity and religious beliefs shape the way individuals understand problems, interpret personal experiences, and respond to the counseling process. The literature shows that differences in values, communication styles, and spiritual orientations can affect the quality of the relationship, especially during the stages of building trust and setting counseling goals. At the same time, counselors who possess multicultural competence and sensitivity toward religious diversity are better able to adapt their approaches so clients feel respected and emotionally secure. This review also highlights the importance of counselor self-reflection to avoid personal bias in sessions, particularly when working with clients from backgrounds that differ greatly from their own. By examining various academic sources, this article argues that an effective counseling relationship depends not only on technique but also on the counselor’s ability to understand the client’s life context. The findings of this literature review contribute to the development of more inclusive and culturally responsive counseling practices.

This article examines the evolving discourse on granting legal personhood to Artificial Intelligence (AI) by analyzing jurisprudential foundations, global regulatory frameworks, and emerging challenges in liability attribution. As AI systems acquire higher autonomy, opacity, and decision-making independence, traditional human-centered legal structures struggle to assign responsibility for AI-generated harms. Through a qualitative methodological approach, involving library research and content analysis, this study evaluates whether limited or functional legal personhood can serve as a viable solution to accountability gaps created by advanced AI systems. The discussion explores key themes including AI autonomy, black-box decision processes, digital identities in virtual environments, metaverse avatars, and the boundaries of existing tort and contract law. Comparative insights from the European Union, the United States, and India highlight significant divergences in regulatory approaches, particularly regarding “electronic personhood,” strict liability models, and AI-specific safeguards. Findings indicate that while full personhood is premature, a hybrid framework—combining functional personhood, risk-based regulation, and AI-focused accountability mechanisms—could enhance legal clarity, promote responsible innovation, and strengthen public trust. This study contributes to the ongoing global effort to conceptualize AI legal personhood within modern socio-digital ecosystems.

Informed consent constitutes a fundamental legal and ethical requirement in healthcare services, ensuring that every medical action is performed with the patient’s full awareness and voluntary approval. In Indonesia, the obligation to obtain informed consent is firmly regulated under the Health Law No. 17 of 2023, the Minister of Health Regulation on Medical Consent, and provisions on medical records. This paper examines the essential role of informed consent as a protective instrument for both patients and healthcare providers within the clinical and legal framework. Informed consent guarantees patients’ rights to information, autonomy, and decision-making, while providing legal safeguards for medical practitioners by documenting the process of explanation, acceptance, or refusal of medical treatment. Proper documentation within medical records ensures accountability, continuity of care, and serves as crucial evidence when medical disputes arise. Medical disputes often stem from dissatisfaction, communication gaps, or misunderstandings about risks inherent in medical procedures. Therefore, informed consent functions not merely as an administrative requirement but as a mechanism for preventing conflict, clarifying responsibilities, and distinguishing unavoidable medical risks from professional negligence. By strengthening the implementation of informed consent, healthcare providers can enhance transparency, improve service quality, and reduce the likelihood of medical litigation.