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Jakarta, the capital of Indonesia, is known for its high congestion levels. Data from the TomTom Traffic Index shows that Jakarta ranked 30th in the world in 2023 as one of the most congested cities, with a congestion level reaching 53% during peak hours. Pisangan Lama in East Jakarta is one of the densely populated areas, adjacent to busy roads. The main campus of STIKOM CKI, also located in East Jakarta, is situated along a route prone to heavy traffic. Given the congestion issues and the lack of information on the nearest routes, this study aims to implement the A* algorithm to find the shortest route from Pisangan Lama, East Jakarta, to the main campus of STIKOM CKI. The A* algorithm is chosen for its optimal routing capabilities. Based on research on three routes (Jl. I Gusti Ngurah Rai, Jl. Basuki Rachmat, and Jl. Raya Kalimalang), the results show that the route via Jl. Basuki Rachmat is the shortest, with a distance of 7.7 km. The implementation of the A* algorithm is expected to provide an efficient solution for the community in finding the nearest route.

Based on the 2023 Indonesian Health Survey, the prevalence of overweight among adults reached 23.4% nationally and 24.5% in East Java Province. This condition highlights the need for food innovation, particularly high-fiber snacks suitable for overweight adults. This study aimed to develop cereal based on okara (soy pulp) flour and mung bean flour as an alternative high-fiber food product. Organoleptic testing was conducted on 30 semi-trained panelists evaluating color, aroma, texture, and taste using hedonic and hedonic quality tests. Data were analyzed using the Kruskal–Wallis test followed by the Mann–Whitney test, while nutrient content analysis was analyzed using One Way ANOVA followed by Duncan’s post hoc test. The results showed that in the hedonic test, color, texture, and taste parameters were significantly different (p<0.05), while aroma was not significantly different (p>0.05). In the hedonic quality test, color and taste showed significant differences (p<0.05), whereas aroma and texture did not (p>0.05). Overall, formulation 922 was the most preferred by panelists. The nutritional content of the cereal ranged from 407–410 kcal for energy, 76.44–77.53% carbohydrates, 8.91–9.66% protein, 6.80–7.30% fat, 5.20–5.51% moisture, 1.26–1.41% ash, and 9.72–10.90% total dietary fiber. The developed cereal is classified as a high-fiber food and has potential as a healthy snack for overweight adults.

Stunting remains a persistent nutritional challenge that threatens human capital development in Indonesia. This study examines the effects of exclusive breastfeeding, female education, sanitation, access to safe drinking water, inadequate food consumption, and poverty on stunting prevalence across 34 provinces in Indonesia during 2017–2024. The study employs a random-effects Panel EGLS estimator with Panel Corrected Standard Errors (PCSE) to address heteroskedasticity and cross-sectional dependence in provincial panel data. The findings reveal that exclusive breastfeeding, female education, and adequate sanitation significantly reduce stunting prevalence, while poverty significantly increases it. Interestingly, inadequate food consumption is negatively associated with stunting prevalence, potentially reflecting the contribution of government nutritional assistance and social protection programs. In contrast, access to safe drinking water does not show a statistically significant effect. Among the explanatory variables, female education is strongly associated with reductions in stunting. These findings highlight the importance of strengthening women’s education, improving sanitation quality, and expanding poverty-alleviation and nutrition-sensitive interventions to accelerate reductions in stunting and support the achievement of Sustainable Development Goal 2 in Indonesia.

This study aims to analyze the role of the Regional Disaster Management Agency (BPBD) of East Flores Regency in managing the eruption disaster of Mount Lewotobi Laki-Laki during the pre-disaster, emergency response, and post-disaster phases. The study employed a descriptive qualitative method involving 18 informants from BPBD and affected communities in Wulanggitang and Ile Bura Sub-districts. Data were collected through observation, interviews, and documentation. The findings show that during the pre-disaster phase, BPBD implemented preparedness measures through disaster-prone area mapping, the establishment of Disaster Preparedness Teams and Disaster-Resilient Villages, public outreach, and the use of local wisdom. However, outdated contingency plans, limited early warning systems, weak relocation efforts, and low public awareness contributed to panic and casualties during the eruption. In the emergency response phase, BPBD successfully coordinated evacuation efforts, established emergency posts, and distributed logistics effectively. Nevertheless, displaced communities experienced discomfort due to prolonged emergency conditions and limited fulfillment of basic needs in temporary shelters. In the post-disaster phase, BPBD conducted rehabilitation and reconstruction through transportation recovery, trauma healing programs, and permanent housing development based on the Rehabilitation and Reconstruction Plan (R3P). However, limited funding and delays in reconstruction processes remained major challenges. Therefore, improving coordination, institutional capacity, disaster communication, and community participation is essential for effective disaster management.

This study aims to analyze the implementation of the Bravo PUPR Online attendance system in improving the work discipline of Civil Servants (ASN) at the National Road Implementation Center of East Nusa Tenggara. The research focuses on punctuality of attendance, consistency in fulfilling working hours, task completion, compliance with attendance procedures, alignment between recorded data and actual conditions, and acceptance of consequences for violations. The study employs a qualitative approach with data collection techniques including observation, documentation, and interviews with leaders, system operators, and ASN as direct users. The results indicate that the implementation of the Bravo PUPR Online attendance system has improved administrative order in attendance and increased ASN awareness of time discipline. However, work discipline has not been fully optimal, as several issues remain, such as inconsistent attendance, suboptimal fulfillment of working hours, and discrepancies between attendance data and actual field conditions. In addition, technical constraints such as internet connectivity and GPS accuracy, as well as behavioral factors like negligence and lack of supervision, also affect system effectiveness. In terms of compliance, the Bravo system integrated with e-HRM is considered effective in detecting violations and enforcing strict consequences, ranging from warnings to administrative sanctions. This demonstrates that the attendance system functions not only as a recording tool but also as an instrument for monitoring discipline.

This study aims to analyze the effect of renewable energy, energy consumption, and Gross Domestic Product (GDP) per capita on carbon dioxide (CO2) emissions in Indonesia for the period 1995-2024. This study uses secondary data over time (time series) with the Ordinary Least Square (OLS) multiple linear regression analysis method corrected using the Newey-West Heteroskedasticity and Autocorrelation Consistent (HAC) approach. The results show that renewable energy does not have a significant effect on CO2 emissions, which is caused by the still low share of renewable energy in the national energy mix which only reaches 10.95% in 2024. Energy consumption has a positive and significant effect on CO2 emissions, where every 1% increase in energy consumption increases CO2 emissions by 84.23%. Gross Domestic Product (GDP) per capita has a positive and significant effect on CO2 emissions. Every 1% increase in GDP per capita increases CO2 emissions by 35.03%, indicating that Indonesia remains on the EKC curve. Simultaneously, all three variables have a significant effect, with an adjusted R-squared value of 53.63%. This finding confirms that Indonesia's energy mix, still dominated by fossil fuels, is a major factor in high carbon emissions. Comprehensive energy efficiency policies, accelerated renewable energy transitions, and greener and more sustainable economic growth strategies are needed.

Background: Acute respiratory infection (ARI) remains a major public health concern, particularly in primary care settings. Lifestyle factors such as dietary patterns and physical activity are increasingly recognized as potential contributors to respiratory health. Objective: This study aimed to examine the association between dietary patterns, physical activity, and ARI among primary care patients in East Halmahera, Indonesia. Methods: A cross-sectional study was conducted at a primary health care facility in East Halmahera, Indonesia, from January to February 2026, involving 106 respondents selected using a total sampling technique. Data were collected using structured questionnaires and medical records. Variables included sociodemographic characteristics, dietary patterns, physical activity, and ARI status. Data were analyzed using descriptive statistics and Chi-square tests with a significance level of p < 0.05. Results: The prevalence of ARI among respondents was 77.4%. Bivariate analysis showed that dietary patterns (p = 0.006) and physical activity (p = 0.015) were significantly associated with ARI. In contrast, age, gender, marital status, education level, employment status, smoking, and alcohol consumption were not significantly associated with ARI (p > 0.05). Conclusion: Dietary patterns and physical activity were significantly associated with ARI among primary care patients in East Halmahera. These findings highlight the importance of lifestyle-related factors in addressing respiratory infections at the primary care level.  

Family communication plays a crucial role in shaping the character and behavior of adolescents, especially in facing social challenges such as online gambling. This study aims to determine how parental communication patterns influence adolescents' involvement in online gambling activities in Lalang Village, Rana Mese District, East Manggarai Regency. Furthermore, this study also identifies various efforts made by parents to address this problem. The method used was a descriptive qualitative approach, with data collection through interviews, observation, and documentation. The results indicate four family communication patterns implemented by parents: pluralistic, consensual, protective, and laissez-faire. The pluralistic pattern is characterized by open communication and equal discussion, which encourages children to avoid online gambling. The consensual pattern combines warm communication with an emphasis on shared values. Conversely, the protective pattern tends to be dominant, where parents supervise without providing space for dialogue, resulting in children becoming withdrawn. The laissez-faire pattern, with minimal communication, makes children feel free to engage in gambling. This study uses the symbolic interaction theory, namely mind, self, and society. In addition to communication patterns, this study also found that parents undertake various efforts, such as limiting digital device use, providing advice, and increasing supervision of their children's social environment. These efforts demonstrate that their effectiveness is highly dependent on the quality of communication within the family.

Breast tumors are classified into two types, namely benign and malignant tumors, the latter commonly referred to as breast cancer. Breast cancer is one of the major health problems affecting women worldwide, including in Indonesia. According to WHO data in 2022, there were 2.3 million breast cancer cases with 685,000 deaths globally, while in Indonesia, 396,914 cases and 234,511 deaths were reported. The high incidence rate is exacerbated by low public awareness in recognizing early symptoms and performing early detection, resulting in 60–70% of cases being diagnosed at an advanced stage, supported by findings that 65.6% of female students still have a low level of knowledge. Female students were selected as research subjects because they are in a vulnerable reproductive age group and have an important role in increasing awareness of early detection, yet they still have limited knowledge. Based on this, this study aims to design a web-based early detection system for breast tumor risk using the Forward Chaining method, which functions as a tool to identify early symptoms, assess risk levels, and provide information on prevention and initial management. This study employed the method with the Expert System Development Life Cycle (ESDLC) model, consisting of the stages of assessment, knowledge acquisition, design, testing, and documentation, along with the Forward Chaining inference method.

The digital transformation in Indonesia’s banking sector has significantly increased the use of digital banking services; however, it has not been fully accompanied by optimal customer trust. This study aims to examine the effect of perceived risk, data privacy protection, and digital service quality on customer trust, both partially and simultaneously. A quantitative approach was employed using survey data collected from 150 digital banking users in Indonesia. Data were analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results indicate that perceived risk has a negative and significant effect on trust, while data privacy protection and digital service quality have positive and significant effects on trust. Simultaneously, all variables significantly influence trust, with an R² value of 0.672, indicating strong explanatory power. Compared to prior studies, this research contributes novelty by integrating these three variables into a comprehensive model. The findings reveal that digital service quality is the most dominant factor influencing customer trust. This study concludes that enhancing customer trust requires an integrated approach through effective risk management, strengthened data protection, and continuous improvement in digital service quality.

The Qur'an al-Karīm employs at least four principal terms in referring to human beings, namely al-basyar, al-insān, al-nās, and banī Ādam. These terms are not merely synonymous; rather, each represents distinct yet complementary dimensions of humanity in constructing a holistic concept of the human being. This study aims to: (1) analyze the semantic meanings of these four terms based on mufrodat studies, Makkiyah-Madaniyah classification, and asbābun nuzūl; (2) compare the interpretations of classical scholars - Al-Ṭabarī, Ibn Kathīr, Al-Qurṭubī, and Fakhr Al-Rāzī - with those of contemporary scholars - Sayyid Quṭb, Ibn ‘Āshūr, M. Quraish Shihab, and Buya Hamka; and (3) formulate their implications for Islamic education. This research employs a library research method using the tafsīr maudhū‘ī approach integrated with Izutsu’s semantic analysis model. The findings reveal that al-basyar represents the physical-biological dimension of human beings; al-insān represents the spiritual dimension in relation to ‘ubūdiyyah toward Allah; al-nās represents the social-collective dimension; and banī Ādam represents the intellectual-rational dimension inherited from Adam through the divine gift of teaching al-asmā’ (Qur'an 2:31). Collectively, these four dimensions provide fundamental implications for the development of objectives, curriculum, methodology, and evaluation within holistic and comprehensive Islamic education.

The postpartum period is a vulnerable phase often accompanied by lactation problems, particularly ineffective breastfeeding and discomfort due to breast engorgement. These conditions may reduce maternal comfort, inhibit the let-down reflex, and increase the risk of failure in exclusive breastfeeding. Therefore, safe, practical, and comprehensive non-pharmacological nursing interventions are needed. This Final Nursing Project aims to describe the implementation of cabbage leaf compresses combined with breastfeeding education to improve maternal comfort and enhance breast milk flow in postpartum mothers. This study employed a case study method using a nursing care approach involving two postpartum mothers who experienced ineffective breastfeeding and discomfort due to breast engorgement. The interventions were provided for three days and included cabbage leaf compresses and education on breastfeeding techniques. Evaluation focused on breastfeeding ability, pain level, breast condition, maternal comfort, and milk production. The results showed improvement in breastfeeding ability, indicated by the mothers’ ability to correctly demonstrate proper positioning and latch-on techniques. Infants appeared calmer during feeding, and the duration of breastfeeding increased to approximately 10 minutes per breast. Pain scores decreased from 5 to 0–3, breast tension was reduced, and maternal comfort improved. It can be concluded that the application of cabbage leaf compresses combined with breastfeeding education is effective in improving breast milk flow and maternal comfort in postpartum mothers and can be recommended as an independent nursing intervention in maternity practice.

Algorithmic technologies are widely used in contemporary marketing strategies due to the growth of the digital economy. Digital companies can evaluate consumer activity data in real time and provide highly personalized digital experiences thanks to artificial intelligence-based solutions, especially machine learning. In addition to examining how algorithmic governance and surveillance capitalism affect algorithmic personalization, this study looks into how these mechanisms affect consumer engagement, purchase intention, and perceptions of hyperreality within the digital market ecosystem. 356 active users of digital platforms, such as social media and e-commerce, were surveyed as part of this study's quantitative methodology. The links between the constructs in the suggested conceptual model were examined through data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the development of algorithmic personalization systems is strongly influenced by data-driven capitalism practices and algorithmic governance. Additionally, it has been demonstrated that algorithmic personalization improves customers' sense of hyperreality and increases their interaction with digital platforms. Additionally, the study shows that the most powerful factor influencing purchase intention is consumer interaction. By combining viewpoints from technology, the political economics of data, and hyperreality theory into a thorough empirical framework, these findings add to the body of knowledge on digital marketing.

This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

This study aims to analyze the determinants of success of PT Makmur Susanti Group, a processed food MSME in Tulungagung, East Java, in achieving “Born Global” status by bypassing the traditional incremental internationalization process and penetrating global markets within only 2.5 years. The research employed a qualitative approach using a single case study method. Data were collected through semi-structured in-depth interviews with the owner as the key informant, participatory observation, and documentation, and were analyzed using the Miles, Huberman, and Saldaña interactive model, consisting of data reduction, data display, and conclusion drawing. The findings reveal that the company’s rapid internationalization was supported by three main factors, namely visionary managerial capability reflected in entrepreneurial alertness, continuous product innovation through selective raw material use and flavor localization, and the optimal utilization of digital ecosystems such as B2B platforms and Alibaba. In addition, the study identified a “symbiotic” business model involving export aggregators to serve diaspora niche markets, which challenges the conventional assumption that Born Global firms must independently manage international logistics. Furthermore, the owner’s legal background became a strategic advantage in addressing complex halal regulations and international certification requirements. This research contributes a new perspective on the phenomenon of “non-intentional” Born Global firms and highlights the importance of legal-formal competence for MSMEs, while also providing practical insights for regional MSMEs in integrating local comparative advantages with global competitive standards.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

The objective of this study is to develop a theoretical framework that can be used to identify the key resources and capabilities involved in the globalization process. This case study aims to examine how export-oriented small businesses in Indonesia achieve success at the international level. To obtain qualitative data, in-depth interviews were conducted with the Makmur Susanti Group, an MSME in Tulungagung, East Java. This study, based on the Resource-Based View (RBV), demonstrates how dynamic capabilities in production, networking, marketing, learning, legal, and synergistic areas contribute to the formation of competitive advantages that support business sustainability and continuity. The study indicates that success in internationalization requires a combination of capabilities that can meet market needs, rather than a single capability. This study contributes to the literature by offering a comprehensive framework of the internationalization process and providing practical insights for policymakers and practitioners aiming to enhance the competitiveness of SMEs. The research findings underscore the importance of capability development and government support in facilitating the global expansion of SMEs. Ultimately, this study provides a foundation for further investigation into the dynamic capabilities required for SMEs to thrive in international markets.

The digital era has fundamentally transformed the market landscape, requiring e-commerce platforms to understand the determinants of consumer behavior. This study aims to analyze the role of E-commerce Trust as a mediating variable in the relationship between Perceived Ease of Use, Perceived Usefulness, and Perceived Enjoyment on Purchase Intention. Using a quantitative approach, data was collected from 326 active users of the Lazada platform in Central Java. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. The results show that the three main factors ease, usefulness, and enjoyment have a positive and significant influence on Brand Trust and consumer Purchase Intention directly. Furthermore, it was found that E-commerce Trust acts as a crucial mediator that strengthens Purchase Intention through positive user experience. Theoretically, this study strengthens the Technology Acceptance Model (TAM) framework and the context of Cross-Border E-commerce (CBEC) in the digital retail industry. Practically, these findings emphasize the importance of optimizing platform features to enhance transaction convenience and security and build long-term loyalty. The research's implications suggest that platform managers should focus on both aesthetics and functionality to create a credible and enjoyable digital shopping ecosystem for consumers in developing regions.

This study aims to analyze the influence of incentives and physical work environment on employee performance with motivation as a mediating variable at the Denpasar City Cultural Office. This study uses a quantitative approach with a survey method. The research population was all employees of the Denpasar Cultural Office totaling 54 people, all of whom were sampled using saturated sampling techniques. Data were collected through a questionnaire with a Likert scale and analyzed using Structural Equation Modeling based on Partial Least Square (SEM-PLS). The results of the study showed that incentives had a positive and significant effect on employee performance, while the physical work environment did not have a significant effect on employee performance. In addition, motivation has a positive and significant effect on employee performance. Mediation testing showed that motivation was able to mediate the influence of incentives on employee performance, but was unable to mediate the influence of the physical work environment on employee performance. These findings indicate that improving employee performance is more effective through providing the right incentives and increasing work motivation compared to improving the physical work environment alone.

Post section caesarea (SC) and method of operative female sterilization (MOW) are surgical procedures that may cause various problems, such as pain, limited mobility, decreased muscle strength, and risk of postoperative complications. Physiotherapy management through exercise therapy is an important intervention to accelerate the recovery process. Objective this study aimed to determine the effectiveness of exercise therapy in improving the functional condition of patients post SC and MOW in Annisa Ward 32 A at PKU Muhammadiyah Karanganyar Hospital. Method: used was a case report on a 33-year-old female patient following SC and MOW procedures. The physiotherapy interventions included deep breathing exercises, active range of motion exercises of the extremities, light abdominal muscle contractions, gradual early mobilization, as well as breast massage and oxytocin stimulation. The results showed a reduction in pain from a scale of 4–5 to 2–3 based on the Numeric Rating Scale (NRS), improvement in mobility such as independent position changes, and increased activity tolerance, including sitting and walking with minimal assistance. In addition, the patient showed increased confidence in performing daily functional activities. Conclusion: exercise therapy has a positive effect on improving mobility, reducing pain, and accelerating functional recovery in post SC and MOW patients. Therefore, exercise therapy is recommended as an essential component of postoperative physiotherapy management to improve patients' quality of life.