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This study aims to analyze the feasibility of implementing Solar-Powered Street Lighting (PJUTS) as an alternative lighting solution in Campus C of UNINDRA PGRI. The background of this research is driven by the high operational electricity costs of the existing conventional street lighting system and the need to transition toward clean energy. The analysis methods include a technical comparison of off-grid systems, an economic evaluation based on cost savings, and an assessment of environmental impacts. The technical analysis indicates that PJUTS is highly feasible due to its ability to operate independently without reliance on the national electricity grid, thereby ensuring lighting continuity during power outages. From an economic perspective, although the initial investment (CAPEX) is higher than that of conventional street lighting, the project is considered feasible as it eliminates monthly electricity bills permanently, resulting in long-term budget efficiency and financial benefits. The Payback Period analysis shows that the initial investment can be recovered through cumulative operational cost savings. Environmentally, the implementation of PJUTS significantly contributes to carbon emission reduction and supports the Green Campus vision through the utilization of renewable energy. Overall, the transformation of the existing street lighting system into PJUTS represents a strategic and feasible initiative that fulfills effectiveness, efficiency, and sustainability criteria.

The increasing demand for electrical energy each year and the high dependence on fossil energy, which has negative environmental impacts, necessitate the development of alternative renewable energy sources. One potential source that can be utilized is mechanical energy from human activities through the application of piezoelectric technology in paving blocks. In addition, studies on the effect of piezoelectric circuit configurations, particularly comparisons between series and parallel circuits in generating electrical power, are still limited. This study employed an experimental method using a piezoelectric paving block prototype, with testing conducted under a static load of 60 kg. The measured parameters included output voltage and current, which were then used to calculate the generated power. The experimental results show that the parallel circuit configuration produced a higher average electrical power of 1.51 mW compared to the series circuit, which generated an average power of 1.37 mW. The increase in power in the parallel configuration was mainly influenced by the higher output current, while the difference in voltage was relatively insignificant. These findings contribute to determining a more optimal circuit configuration for the development of piezoelectric paving blocks as a renewable energy harvesting system based on mechanical pressure.

The advancement of digital technology has led to the extensive adoption of social media by teenagers. Social media has become a means of communication, entertainment, and an easily accessible source of information, but its use also has various impacts on adolescent mental health. This study aims to examine the influence of social media on adolescent mental health through a literature review approach. The method used was a literature review, reviewing various scientific journals, books, and academic articles relevant to the topic of social media and adolescent mental health. The data obtained was analyzed descriptively and qualitatively to identify patterns of findings and trends in previous research. The findings of the research show that social media usage has both beneficial and detrimental effects on the mental health of adolescents. On the positive side, social media also can be means of self-expression, expanding social networks, and obtaining emotional support. However, excessive and uncontrolled social media use possesses the ability to create adverse effects, such as increased anxiety, stress, depression, low self-confidence, and impaired self-image due to social comparison. Furthermore, exposure to negative content, cyberbullying, and pressure to gain social approval also contribute to the decline in adolescent psychological well-being. The duration of use, the type of platform, and adolescents' ability to manage emotions and time also influence the level of perceived impact. Therefore, the active role of parents, educators, and the social environment is needed to provide guidance and digital literacy education so that teenagers can utilize social media sensibly. Through effective management, it is anticipated that social media can be used constructively while prioritizing adolescent mental health.

Health anxiety is a psychological condition characterized by excessive and persistent worry about having or developing a serious illness despite the absence of objective medical evidence. Among adolescents, health anxiety often manifests through recurrent somatic complaints that lead to repeated visits to primary health care services. This study aims to describe the dynamics of health anxiety in an adolescent and to examine the early response to a cognitive behavioral therapy (CBT) intervention delivered in a primary health care setting. This research employed a clinical case study design with a descriptive qualitative approach supported by quantitative assessment data. The participant was an adolescent presenting with recurrent physical complaints without identifiable medical pathology. Data were collected through clinical interviews, behavioral observation, and standardized psychological instruments, namely the Short Health Anxiety Inventory (HAI-18) and the Patient Health Questionnaire-15 (PHQ-15). Quantitative analysis focused on pre- and post-intervention score comparison, calculation of change scores, and the Reliable Change Index to evaluate individual-level change. The findings revealed a high level of health anxiety accompanied by low severity of somatic symptoms, indicating that psychological distress was primarily driven by maladaptive cognitive interpretations rather than physical pathology. Following the CBT intervention, a reduction in health anxiety scores was observed, reflecting an early improvement, although the change did not reach statistical significance based on the Reliable Change Index. These results suggest that CBT may produce meaningful early changes in health anxiety when implemented in primary health care settings, even with brief intervention formats. The study highlights the importance of early psychological assessment and intervention for adolescents with recurrent somatic complaints and supports the integration of mental health services within primary health care. However, findings should be interpreted cautiously due to the single-case design, and further research with larger samples and longitudinal follow-up is recommended

Mental health among Generation Z university students has become an increasingly important issue amid rising academic demands and the rapid development of digital life. Students today face various academic pressures, including competition for achievement, heavy coursework, and performance targets, which may negatively affect their psychological well-being. In addition, advances in digital technology have reshaped students’ daily lives, particularly through intensified information exposure and social comparison. This study aims to examine the influence of academic competition and digital dynamics on the mental health of Generation Z students using a literature review approach. The research employs a descriptive qualitative literature review method by analyzing 20 relevant scholarly articles published in national and international journals between 2018 and 2024. The findings indicate that academic competition is closely associated with increased levels of stress, anxiety, and emotional exhaustion among students. Prolonged academic pressure without adequate psychological support may lead to a decline in students’ psychological well-being. Furthermore, digital life reinforces psychological pressure through mechanisms of social comparison and self-presentation demands. However, several studies also identify protective factors, such as social support, mental health literacy, and emotional regulation skills, which help students manage academic and digital pressures more adaptively. Therefore, the mental health of Generation Z students is shaped by a complex interaction between academic competition and digital life, highlighting the need for comprehensive efforts from both individuals and educational institutions to promote students’ psychological well-being.

In general, infrastructure development requires materials from nature and one of them is natural coarse aggregate of crushed stone. The rapid development of infrastructure in Indonesia has resulted in the depletion of the natural coarse aggregate. Therefore, other efforts are needed in terms of using coarse aggregate as a construction material. So in this study the aim is to make artificial coarse aggregate made from fly ash. The results showed that this artificial coarse aggregate met the requirements of the General Specifications of Bina Marga 2010 rev 3 as a construction material, namely for an abrasion value of 40% and water absorption of 3%. In this study, 5 types of comparisons were carried out, namely, 70:30%, 60:40%, 50:50%, 40:60%, 30:70 and for the type of composition comparison 70:30% (70% fly ash:30% cement). ) the abrasion value is still below 40%, and the amount of water absorption is below 3% so that this artificial coarse aggregate still meets the standard specifications of General Highways 2010 rev 3. Based on the price comparison that has been made between artificial coarse aggregate and natural coarse aggregate of crushed stone , shows a price disparity of Rp. 35,779 - Rp. 58,779. Thus, this artificial coarse aggregate is one solution that can be developed to reduce the environmental impact due to the presence of fly ash which is quite abundant in Indonesia.

The phenomenon of Fear of Missing Out (FoMO) has emerged as a significant psychosocial factor influencing the consumption behavior of Generation Z in the social media era. This study aims to explore how FoMO shapes the purchasing decisions of Generation Z using a qualitative approach, focusing on subjective experiences, digital social pressures, and interactions with viral content. A descriptive-interpretative qualitative method was employed, collecting data through in-depth interviews and observations of social media activity among Generation Z respondents actively engaged in digital platforms. Thematic analysis was applied to identify patterns of FoMO experiences and their impact on purchasing decisions. Findings reveal that FoMO arises from the need for social connection, social comparison with peers and influencers, and intensive exposure to digital trends. This phenomenon drives consumptive behaviors, particularly impulsive purchases, influenced by social validation and emotional impulses. Generation Z’s purchasing decisions are contextual, multidimensional, and not entirely rational, yet meaningful within the framework of digital social identity. The study underscores the necessity of a qualitative approach to comprehensively understand the psychological, social, and cultural complexities of FoMO and consumer behavior. The results provide a conceptual foundation for ethical and relevant marketing strategies targeting young consumers in the digital era.  

This study analyzes the comparison of the Trapezoidal, Simpson 1/3, and Simpson 3/8 to approximate numerical integration using Microsoft Excel, with the variation of the interval . The test function is  on the interval . Because it is smooth and lacks an elementary antiderivative, the results indicate that the Simpson Method outperforms the Trapezoidal method in accuracy. The Trapezoidal method yields absolute errors on the order of  to , while Simpson 1/3 and 3/8 achieve  to , with Simpson 1/3 performing best across all . These findings confirm the higher convergence order of Simpson methods ) vs . Excel implementation proves effective as an accessible learning tool for numerical methods, supporting integral computation in higher education. This research contributes to simplifying computational approaches for engineering applications and education, and opens up opportunities for more effective implementation of numerical methods in practical teaching. The results of this research are expected to enrich understanding of numerical applications in engineering and science.

The juridical issues concern the limits of military criminal jurisdiction, patterns of sentencing for soldiers, command responsibility, and their implications for the principles of civilian supremacy and equality before the law. This study aims to analyze the implications and provide a comparative assessment of the expansion of the Indonesian National Armed Forces’ (TNI) authority following Law Number 3 of 2025 concerning the Amendment to Law Number 34 of 2004, particularly in relation to the addition of civilian positions that may be occupied by active-duty soldiers and the expansion of Military Operations Other Than War (OMSP). This research employs a normative juridical method with statutory, conceptual, and comparative approaches, using data sources in the form of legislation as well as national and international legal literature, which are analyzed qualitatively with deductive reasoning in drawing conclusions. The results of the study indicate that, first, the criminal law implications of the post-expansion of the TNI’s authority and roles give rise to the potential emergence of official offenses (delicta propria), particularly in the implementation of OMSP and the assignment of active-duty soldiers to civilian positions, which may generate ambiguity in judicial forums and criminal accountability; and second, a comparison with the military sentencing systems in the Netherlands and the United States demonstrates the importance of clear classification of offenses, a clearer separation between military jurisdiction and civilian courts, and the strengthening of due process of law, as well as effective civilian oversight to ensure the professionalism and legal certainty of the TNI.

Project scheduling is an important element for shipyard companies to gain more profit. The most frequently used analysis is the Critical Path Method (CPM). However, in reality, planning using the CPM method is considered less efficient because it does not consider the productivity of each job in it and adds safety time which causes the project duration to become longer. In accordance with the above problems, a new method for planning project schedules is now being developed, namely Critical Chain Project Management (CCPM). CCPM is a project planning method that emphasizes the resources needed to carry out existing tasks in the project. This method is carried out by eliminating multitasking, student syndrome, Parkinson's law and providing a buffer at the end of the project. In this final project, a comparison of the duration of the results of applying the CCPM method with the Critical Path Method (CPM) method is carried out in a case study of ship repairs at PT. Galangan Kapal Madura. The initial project scheduling uses the traditional method in the form of a Gantt chart which is then broken down in more detail and completely with the relationship between activities in the form of CPM, and then will be compared with the duration of the results of CCPM scheduling which has eliminated multitasking, eliminated Safety time for each activity and provided a buffer in the work.

This study aims to carry out a thorough analysis of the use of stylistic elements, particularly in terms of diction and language style, as applied by Pitoyo Amrih to shape the character of Gatotkaca in the novel Sisi Gelap Gatotkaca. The character of Gatotkaca, traditionally depicted as a flawless heroic figure, is reimagined by the author through a more humanistic and reflective linguistic approach. Using a qualitative descriptive method alongside stylistic literary criticism, this article examines how linguistic units within the text serve as rhetorical tools to reveal internal conflicts, existential burdens, and the darker aspects of the main character. The analysis process involves identifying word choices that carry a melancholic tone as well as the prominent use of figurative language, including comparisons, contrasts, and emphatic statements. The findings indicate that the use of archaic and philosophical diction, combined with sharp irony and metaphor, effectively transforms the image of Gatotkaca from merely a symbol of physical strength into a representation of human psychological fragility. This research contributes to literary criticism by highlighting how an author’s language style can alter readers' perceptions of established myths within society's culture.

This research aims to develop a deep learning-based mathematics e-module with the integration of the context of the Suramadu Bridge in scale and comparison materials for grade VII junior high school students. The development model used is the 4D (Define, Design, Develop, Disseminate) model which includes the stage of defining learning needs, designing e-modules, product development, and limited deployment. The research instruments used included validation sheets of media and material experts, observation sheets of teacher and student activities, learning outcome tests, and student response questionnaires. The results of the study showed that the e-modules developed met the valid criteria with a media validity level of 94.29% and material of 95%. In addition, the e-module is considered practical with teacher practicality of 78.67% and students of 86.67%, and effective with a learning effectiveness rate of 83.83%. The students' response to the e-module was also very positive, which showed that the integration of the local context of the Suramadu Bridge and the deep learning approach was able to increase student engagement, learning motivation, and understanding of mathematical concepts in a meaningful way. These findings indicate that local context-based e-modules can be an innovative alternative in mathematics learning that is relevant to students' real lives as well as support the implementation of 21st century learning.

Skin is the body's outermost organ, enveloping all parts of the human body. When the water content in the stratum corneum (SC) drops below 10%, the skin can become scaly, rough, and dry. Honey possesses humectant, emollient, and antioxidant properties, making it an effective moisturizer. The humectant properties of honey stem from its high sugar content, particularly glucose and fructose. These  sugars form hydrogen bonds with water, helping to retain moisture in the skin and thus providing a hydrating effect. Additionally, honey contains vitamin C, alpha hydroxy acids, and flavonoids, which contribute to the elasticity and firmness of the skin. Therefore, it is important to conduct a narrative review on the use of honey as a moisturizer in topical preparations, which can serve as a reference for future research. The literature search for this review was conducted using databases such as Google Scholar, Garuda Journal, MDPI, ResearchGate, and Publish or Perish, employing specific inclusion and exclusion criteria. The findings concluded that honey can be used as a moisturizer in various dosage forms, including body scrubs, anti-aging and moisturizing creams, serums, peel-off gel masks, lip moisturizers, and lip scrubs. The concentration of honey used in these formulations depends on the dosage form, its intended function in the formula (whether as an active substance, humectant, or emollient), and the comparison of honey concentration with other ingredients.

This study aims to determine the role of social comparison and body image on appearance anxiety in adolescent girls. Social pressure and media exposure with ideal beauty standards make adolescent girls vulnerable to engaging in social comparison and developing a negative body image, which triggers appearance anxiety. This study used a quantitative approach with a correlational design involving 107 adolescent girls aged 18–24 years through convenience sampling. Data were collected using a Google Forms questionnaire consisting of three instruments: the Iowa-Netherlands Comparison Orientation Measure, the Multidimensional Body-Self Relations Questionnaire, and the Social Appearance Anxiety Scale. Data analysis used Spearman correlation and multiple linear regression. The results showed that social comparison has a significant positive relationship with appearance anxiety (r = 0.544, p < 0.001), and negative body image is related to increasing appearance anxiety. The higher the tendency to engage in social comparison and the more negative the body image, the higher the appearance anxiety experienced. The findings emphasize the importance of understanding the psychological dynamics of appearance evaluation and strategies to strengthen positive body image in adolescent girls.

Motorcycles are one of the main modes of transportation widely used by the Indonesian people due to their practicality, efficiency, and ability to support daily mobility. However, many motorcycle users complain about the suboptimal engine power, especially when the vehicle is used on extreme terrains outside urban areas, such as uphill roads, rocky paths, or long distances. This situation has driven the development of various innovations in the automotive field to improve engine performance. One widely applied method is the oversize technique on the piston and piston block, which aims to increase the combustion chamber capacity, thereby maximizing the power output. This study aims to analyze the significant comparison of engine performance after the application of the oversize method on the KVY engine type, as well as to examine the factors influencing the optimization of engine performance based on the philosophy and needs of the vehicle owner. The testing method used a dynamometer to measure the increase in torque and engine power. The test results showed that the daily oversize application resulted in a torque increase of 1.19 Nm and a power increase of 0.85 Hp compared to the standard condition. Meanwhile, the oversize for competition needs showed more significant improvements, with a torque increase of 7.97 Nm and a power increase of 8.12 Hp. These findings demonstrate that the oversize method can significantly enhance engine performance according to its intended use.

This study aims to describe the lexical variations that emerge based on gender factor within the sociolinguistic context of SMP Bintang Persada Denpasar. This research employs a descriptive qualitative approach using the observational method and note-taking technique by presenting a list of glosses to 20 eight-grade students, consisting of 10 male and 10 female participants. The lexical data were analyzed using the intralingual and extralingual comparison methods. The findings reveal significant lexical differences between the two speaker groups. Female student tend to use more varied, complete, and expressive lexical forms, including full words and phrasal expressions. In contrast, male students show a tendency to use shorter, more efficient lexical forms dominated by abbreviations and rough expressions. These findings highlight that gender functions as a linguistic marker shaping distinct communicative patterns among adolescents, with female students prioritizing social expression and affection, while male students emphasize practicality and efficiency in language use.

This study aims to develop an effective predictive model for identifying students at risk of academic dropout using the Decision Tree and Linear Regression algorithms. The data used are sourced from the public Kaggle dataset Students Dropout and Academic Success, which includes demographic, socioeconomic, and academic performance variables for each semester. The research method includes data preprocessing stages, such as data cleaning, label encoding for categorical variables, numeric feature normalization, and target class adjustment to focus on binary classification, namely Dropout and Graduate. The modeling process is carried out by comparing the performance of the two algorithms using evaluation metrics of accuracy, precision, and recall. The results show that the Decision Tree algorithm has superior performance compared to Linear Regression in mapping non-linear patterns in student data. Feature importance analysis revealed that the number of curricular units in the second semester and tuition payment status are the main predictors of dropout risk. These findings are expected to assist educational institutions in implementing early interventions to improve student academic success.  

Digital transformation (DT) has become a critical component for organizations aiming to enhance their operational efficiency, innovation, and competitiveness. However, many organizations struggle to achieve successful digital transformation due to the misalignment between their Enterprise Information Systems (EIS) and organizational strategic goals. This research seeks to design and validate a model for aligning EIS with digital transformation strategies to improve organizational effectiveness. By adopting the Design Science Research (DSR) approach, this study develops a practical model that integrates strategic planning, process management methodologies, and emerging technologies to facilitate alignment between IT and business strategies. The research includes key steps such as requirement analysis, artifact design, expert validation, and case study evaluation to ensure the model's robustness and applicability across different organizational contexts. Findings indicate that the proposed model significantly improves strategic-system alignment, enhances decision-making consistency, and facilitates better integration between business and IT units. The model also addresses common challenges such as resistance to change, skill gaps, and misalignment, fostering a supportive culture for digital transformation. In comparison to existing descriptive frameworks, the proposed model is more structured, adaptable, and actionable, providing organizations with a clear framework to guide their digital transformation efforts. This research contributes to the growing body of knowledge on EIS alignment and offers practical insights for organizations seeking to achieve successful digital transformation. Future research could explore the model's application in various organizational settings and examine its impact on long-term organizational growth and innovation.

In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

Global social inequality remains one of the fundamental challenges in the contemporary world economic system. The dominance of capitalist economic structures, which emphasize growth and capital accumulation, has proven effective in stimulating economic progress; however, it has simultaneously widened the gap between wealthy and disadvantaged groups at both national and global levels. Meanwhile, socialist economic systems that prioritize income equalization continue to face limitations related to efficiency and innovation. This article aims to examine the role of Islamic economics as an alternative economic framework capable of addressing the challenge of global social inequality. The study employs a qualitative descriptive approach through a literature review of classical and contemporary sources related to global economic systems. The findings indicate that Islamic economics offers a more balanced paradigm by integrating principles of distributive justice, ethical values, and social responsibility within economic activities. Instruments such as zakat, infaq, sadaqah, waqf, along with the prohibition of riba and other exploitative economic practices, serve as essential mechanisms for reducing social inequality. Therefore, Islamic economics holds significant potential as both a normative and practical solution for promoting sustainable global economic justice.