Publication Search

This research focuses on developing an ERP application accessible through a web platform by utilizing the Laravel framework to support operational data integration within the company. The application development process adopted the Waterfall approach, which was carried out through several sequential stages including requirements identification, system design, implementation, evaluation, and maintenance. Laravel was used as the development framework and MySQL as the database management system. The findings indicate that the developed application is capable of consolidating operational information into a unified platform that can be accessed by different organizational units.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

The Free Health Check-up (CKG) is a government program designed to strengthen promotive and preventive health efforts through the early detection of risk factors, pre-disease conditions, and diseases across the community according to the life-cycle approach. As a relatively new initiative, the implementation of the CKG program in primary healthcare settings still requires further evaluation to assess implementation readiness, digital support systems, and community participation. This literature review aimed to examine the implementation of the Free Health Check-up Program in primary healthcare services. Relevant literature was retrieved from the Google Scholar database using the keyword "implementation of the free health check-up program" and was limited to open-access, full-text articles published between 2025 and 2026. The search identified eight eligible articles, which were extracted and analyzed in this review. The synthesis revealed three major themes in the implementation of the CKG program: (1) primary healthcare service readiness, (2) digitalization and reporting systems, and (3) community participation and communication strategies. Primary healthcare readiness includes the availability of human resources, infrastructure, medical equipment, consumable medical supplies, funding, service workflows, and cross-sectoral coordination. Digitalization through the SATUSEHATplatform and integrated reporting systems has the potential to improve service efficiency; however, challenges remain regarding digital literacy, internet connectivity, and the technical capacity of healthcare personnel. Community participation is influenced by knowledge, attitudes, the roles of community health volunteers, teachers, healthcare workers, and communication strategies tailored to the characteristics of the target population. The successful implementation of the CKG program requires strengthening primary healthcare systems, optimizing digital health platforms, and adopting community-based communication strategies to ensure the program is more effective, inclusive, and sustainable.

This literature review analyzes the impact of data privacy issues on consumer usage intention in Indonesian e-commerce platforms. The study aims to map privacy threats and understand the phenomenon of the privacy paradox in the context of digital retail. Using a literature review method, this study synthesized findings from international journals published in the last five years from Scopus, Web of Science, and Google Scholar databases. The results show that excessive data collection, unauthorized secondary use, and data breaches significantly increase consumer privacy concerns. However, the research also confirms a privacy paradox, where consumers willingly share personal data to gain shopping convenience and promotions. The findings highlight that strong brand trust and a seamless user experience can effectively mitigate these privacy fears. Practically, this study recommends that e-commerce companies implement the Privacy by Design framework, utilize dynamic passwords (OTP), and provide transparent privacy settings as a competitive marketing advantage. Future research should explore specific regional demographics and the direct impact of new technologies like AI chatbots on consumer security perceptions.

Online transportation has become an essential component of modern urban mobility, significantly transforming the way people travel while creating new challenges related to service quality, safety, customer satisfaction, sustainability, and its impact on conventional public transportation. This study aims to examine the development of research on online transportation through a bibliometric analysis combined with a Systematic Literature Review (SLR). Data were collected from the Scopus database using the keyword "Online Transportation" and filtered using the PRISMA framework, resulting in 90 eligible articles for analysis. The bibliometric analysis was conducted using VOSviewer to identify publication trends, leading contributing countries, author affiliations, journal sources, and the most frequently occurring keywords. The findings reveal that research on online transportation remains relatively limited despite showing a gradual increase in recent years. Indonesia emerged as the country with the highest number of publications, followed by the United States, China, Japan, Malaysia, and the United Kingdom. Frequently occurring keywords indicate that online transportation research is commonly associated with traffic management, drivers, passenger safety, customer satisfaction, service quality, employment, and user loyalty. These findings suggest substantial opportunities for future studies, particularly in the areas of regulatory frameworks, sustainable transportation, traffic safety, digital technology integration, and the development of intelligent transportation systems to support more efficient, inclusive, and sustainable urban mobility.

Urban plant care is increasingly important for sustainable living, but many users face inconsistent watering, insufficient care knowledge, unsuitable plant selection and delayed disease recognition. This study presents Easy Grow Plants, an integrated web and Internet of Things (IoT) ecosystem that connects plant care guidance, soil-moisture monitoring, automated watering, plant recommendation, image-based plant health assistance, marketplace functions, community interaction and plant exchange. The prototype was implemented using a React frontend, Django REST backend, SQLite database and an Arduino UNO R4 WiFi smart pot with a soil moisture sensor, relay module and DC water pump. Functional, interface, API, IoT connectivity, sensor calibration, watering control and LAN deployment tests were conducted. The results show that the core modules operated together as an integrated academic prototype. The system demonstrates a practical foundation for smart urban gardening, although cloud deployment, multi-device testing and stronger AI validation remain future improvements

Literature reviews play a crucial role in scientific research because they serve to integrate previous research findings to build a conceptual framework that supports new research. However, in the practice of writing Classroom Action Research (CAR) articles, previous research is often presented descriptively without adequate conceptual synthesis. This study aims to systematically analyze the practice of citing prior research in the literature review of CAR articles as part of a systematic literature review. The study employs a Systematic Literature Review (SLR) approach following the PRISMA 2020 guidelines, which include the stages of identification, screening, eligibility assessment, and literature synthesis. Literature sources were obtained from various academic databases such as Scopus, Web of Science, Google Scholar, and Crossref using keywords relevant to classroom action research and literature reviews. Data analysis was conducted through thematic analysis to identify patterns and trends in the writing practices of previous research in the literature review of classroom action research. The results indicate that literature review writing in action research articles is still dominated by a descriptive approach that presents previous research sequentially without adequate conceptual integration and thematic synthesis. Furthermore, critical evaluation of prior research methodologies remains limited, meaning that literature reviews do not yet fully serve as a foundation for developing the theoretical framework of the research. The findings highlight the importance of applying a systematic literature review approach in writing PTK literature reviews to produce a more analytical, systematic, and integrated synthesis of the literature.

In order to raise the standard of healthcare services in the contemporary period, digital transformation in hospital management has become a phenomena. The purpose of this study is to investigate the adoption, advantages, difficulties, and success aspects of digital transformation in healthcare facilities. A literature review employing a narrative review system was the methodology. 14 papers that met the inclusion requirements were found using data sources from Google Scholar, PubMed, and ScienceDirect databases with publication years ranging from 2020 to 2025. To determine the primary study themes, data analysis was carried out utilising a thematic synthesis approach. According to the study's findings, digital transformation can enhance operational effectiveness, service quality, and patient safety by using technology including electronic health records (EHR), telemedicine, and hospital management information systems. However, there are still a number of obstacles to its adoption, such as inadequate infrastructure, inadequate human resource competency, expensive investment costs, and data security threats. Significant barriers also include a lack of system integration and opposition to change. Government policies and regulatory assistance have an impact on the success of digital transformation in hospital administration.

Aerobic capacity, commonly measured by maximal oxygen uptake (VO₂max), is a key indicator of physical fitness and athletic performance, particularly in endurance sports. Recent attention has focused on the role of respiratory muscle function in supporting exercise performance, as respiratory muscle fatigue during high-intensity or prolonged activity may reduce ventilatory efficiency and exercise tolerance. This literature review aims to examine current evidence regarding the effects of Respiratory Muscle Training (RMT), including Inspiratory Muscle Training (IMT), on aerobic capacity in athletes. Relevant studies were identified through electronic databases such as PubMed, Scopus, and Google Scholar using keywords related to respiratory muscle training, VO₂max, and athletes. The reviewed studies generally reported improvements in inspiratory muscle strength, reduced respiratory muscle fatigue, and enhanced ventilatory efficiency following RMT interventions. These physiological adaptations may contribute to better exercise tolerance and overall athletic performance. However, evidence regarding direct improvements in VO₂max remains inconsistent across studies. The findings suggest that RMT can be used as a complementary strategy alongside conventional training programs to support aerobic performance. In addition, improved respiratory muscle function may provide benefits in health promotion and rehabilitation by reducing dyspnea and increasing exercise tolerance. Further well-designed studies are needed to clarify the extent of RMT’s contribution to improving VO₂max in athletic populations.

Aerobic capacity, commonly measured by maximal oxygen uptake (VO₂max), is a key indicator of physical fitness and athletic performance, particularly in endurance sports. Recent attention has focused on the role of respiratory muscle function in supporting exercise performance, as respiratory muscle fatigue during high-intensity or prolonged activity may reduce ventilatory efficiency and exercise tolerance. This literature review aims to examine current evidence regarding the effects of Respiratory Muscle Training (RMT), including Inspiratory Muscle Training (IMT), on aerobic capacity in athletes. Relevant studies were identified through electronic databases such as PubMed, Scopus, and Google Scholar using keywords related to respiratory muscle training, VO₂max, and athletes. The reviewed studies generally reported improvements in inspiratory muscle strength, reduced respiratory muscle fatigue, and enhanced ventilatory efficiency following RMT interventions. These physiological adaptations may contribute to better exercise tolerance and overall athletic performance. However, evidence regarding direct improvements in VO₂max remains inconsistent across studies. The findings suggest that RMT can be used as a complementary strategy alongside conventional training programs to support aerobic performance. In addition, improved respiratory muscle function may provide benefits in health promotion and rehabilitation by reducing dyspnea and increasing exercise tolerance. Further well-designed studies are needed to clarify the extent of RMT’s contribution to improving VO₂max in athletic populations.

Agentic artificial intelligence (AI) systems capable of autonomous goal-directed behavior, multi-step planning, tool use, multi-agent coordination, and iterative self-correction represent a transition from passive clinical AI tools toward systems that can participate in complex healthcare workflows. However, empirical evidence remains fragmented across clinical decision support, patient monitoring, and administrative applications, and no systematic synthesis has evaluated which agentic principles have been technically demonstrated and which have accumulated sufficient evidence to support responsible clinical deployment. We conducted a PRISMA-informed systematic review of peer-reviewed empirical studies published between January 2025 and April 2026. Searches across five bibliographic databases and Google Scholar, supplemented by citation tracking, identified 443 unique records for screening, of which 25 met the predefined PICOS and quality appraisal criteria. Evidence was synthesized using an evidence-informed seven-principle framework derived from the integration of agentic AI, clinical AI, and healthcare governance literature. This framework provides a structured lens for examining how agentic principles are evaluated individually and in combination, enabling a deployment-readiness perspective that extends beyond capability-focused assessments alone. The evidence base was concentrated on technical capability principles, whereas human oversight, safety, compliance, and equity-related evaluation received comparatively limited attention. Most studies remained at the laboratory, benchmark, or proof-of-concept stage, and none reported demographic-stratified performance outcomes. Overall, the findings suggest a structural asymmetry in agentic healthcare AI: empirical research is advancing agentic capabilities more rapidly than it is generating evidence for the oversight, safety, equity, and governance mechanisms required for responsible clinical translation.

Muscle-invasive bladder cancer (MIBC) is an aggressive malignancy associated with high morbidity, reduced survival, and impaired quality of life. Radiotherapy (RT) has been widely used as a bladder-preserving strategy, particularly for patients unsuitable for surgery or systemic chemotherapy. RT may also enhance tumor immunogenicity through programmed death-ligand 1 (PD-L1) upregulation, providing a rationale for combination therapy with immunotherapy. This study aimed to evaluate the effectiveness of combining immunotherapy and radiotherapy in MIBC treatment. A systematic review was conducted following PRISMA 2020 guidelines using the PICO framework. Literature searches were performed in PubMed, Embase, Cochrane, ClinicalTrials.gov, Web of Science, and Scopus databases for studies published between 2016 and 2025. Risk of bias was assessed using the Cochrane Risk of Bias Tool and ROBINS-I. Of 105 identified studies, five met the inclusion criteria and were included in the final analysis. Only one Phase II randomized controlled trial demonstrated low risk of bias in randomization and allocation concealment. ROBINS-I assessment indicated moderate to serious risk in confounding and participant selection domains. Clinical findings showed promising outcomes, with complete response rates ranging from 35%–50% and partial response rates from 25%–40%. Median overall survival ranged from 24–30 months, with favorable disease-free and progression-free survival outcomes. Combined immunotherapy and radiotherapy demonstrate potential to improve survival and disease control in MIBC; however, further rigorous clinical studies are needed to optimize patient-centered treatment strategies.  

Risk factors for melasma have been identified at several points such as the use of birth control pills, cosmetics, sun exposure, estrogen therapy, decreased thyroid and ovarian function, ovarian tumors, nutrition, drugs that are classified as phototoxic or photoallergic, and epilepsy drugs. This article aims to determine the incidence of melasma and its risk factors. This study uses articles collected from the Google Scholar database. The data collection step uses the keyword "Risk Factor Melasma" according to the title and keyword criteria. The articles used are publications in the 2018-2023 year range. The stages of analysis are carried out using VOSviewer software for visualization and trend analysis in the form of bibliometric maps. The bibliometric approach was applied to identify publication patterns, research developments, and relationships among topics related to melasma risk factors. Based on the visualization results, 100 selected documents were published within 5 years, from 2018 to 2023. The findings provide an overview of the main research trends and contribute to a better understanding of the incidence of melasma and the factors associated with its occurrence

Dengue fever remains a major global health challenge, particularly in tropical regions, due to the high transmission of Dengue virus by Aedes aegypti and the limited sustainability of current control strategies. Artocarpus odoratissimus, an endemic Bornean plant, contains diverse secondary metabolites with potential pharmacological activities; however, a systematic synthesis of its biomedical relevance to Dengue is still lacking. This study aimed to systematically evaluate the biomedical potential of A. odoratissimus in Dengue prevention and control through a systematic literature review. This study employed a systematic literature review method following the PRISMA 2020 guidelines. Literature searches were conducted in Scopus, ScienceDirect, SpringerLink, PubMed, Google Scholar, Garuda, SINTA, and other relevant scientific databases for publications from January 2016 to February 2026. A total of 303 records were identified, and after duplicate removal, title and abstract screening, and full-text eligibility assessment, 23 studies were included for narrative synthesis. The findings revealed that A. odoratissimus contains major bioactive compounds, including flavonoids, phenolics, arylbenzofurans, stilbenoids, and prenylated chalcones, which demonstrate antioxidant, anti-inflammatory, immunomodulatory, and potential antiviral activities based on in vitro and molecular docking studies. Fruit peel, seeds, and stem bark exhibited the strongest biological evidence, particularly in reducing oxidative stress, inhibiting inflammatory mediators, and potentially interacting with Dengue viral target proteins. Furthermore, several species within the Artocarpus genus showed larvicidal and ovicidal activities against Aedes aegypti, highlighting the potential development of A. odoratissimus as a plant-based biolarvicide candidate.

Dengue fever remains a major global health challenge, particularly in tropical regions, due to the high transmission of Dengue virus by Aedes aegypti and the limited sustainability of current control strategies. Artocarpus odoratissimus, an endemic Bornean plant, contains diverse secondary metabolites with potential pharmacological activities; however, a systematic synthesis of its biomedical relevance to Dengue is still lacking. This study aimed to systematically evaluate the biomedical potential of A. odoratissimus in Dengue prevention and control through a systematic literature review. This study employed a systematic literature review method following the PRISMA 2020 guidelines. Literature searches were conducted in Scopus, ScienceDirect, SpringerLink, PubMed, Google Scholar, Garuda, SINTA, and other relevant scientific databases for publications from January 2016 to February 2026. A total of 303 records were identified, and after duplicate removal, title and abstract screening, and full-text eligibility assessment, 23 studies were included for narrative synthesis. The findings revealed that A. odoratissimus contains major bioactive compounds, including flavonoids, phenolics, arylbenzofurans, stilbenoids, and prenylated chalcones, which demonstrate antioxidant, anti-inflammatory, immunomodulatory, and potential antiviral activities based on in vitro and molecular docking studies. Fruit peel, seeds, and stem bark exhibited the strongest biological evidence, particularly in reducing oxidative stress, inhibiting inflammatory mediators, and potentially interacting with Dengue viral target proteins. Furthermore, several species within the Artocarpus genus showed larvicidal and ovicidal activities against Aedes aegypti, highlighting the potential development of A. odoratissimus as a plant-based biolarvicide candidate.

The thesis supervision process in higher education institutions is still frequently conducted manually, which may lead to inefficiencies in recording supervision data. This study focuses on the development and implementation of a web-based thesis supervision attendance application designed to facilitate attendance documentation, supervision session administration, and systematic monitoring of thesis supervision history. The methodology applied in this study is the Waterfall model, which includes the phases of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework and a MySQL database. The system design was modeled using Unified Modeling Language (UML), while the validation process was conducted through Black Box Testing techniques. The research findings indicate that the developed application is capable of performing real-time supervision attendance recording, managing supervision information, and generating attendance reports effectively and efficiently. It can be concluded that the web-based thesis supervision attendance application improves the efficiency and accuracy of supervision record management and supports a more effective thesis supervision monitoring process..

This study aims to map the trends, integration forms, effectiveness, and contribution of ethnomathematics in elementary school mathematics learning toward national cultural preservation. A systematic literature review (SLR) approach following the PRISMA 2020 protocol was employed. Searches across four academic databases (Scopus, Google Scholar, CrossRef, and Semantic Scholar) yielded 1,176 articles, from which 30 articles met the inclusion criteria. Results indicate that ethnomathematics research in elementary schools has increased significantly during 2023–2026, particularly following the implementation of Kurikulum Merdeka. The three most dominant forms of integration are digital modules and media (53.3%), traditional games (33.3%), and ethnomathematics-based worksheets (13.3%). Geometry and measurement is the most researched mathematics topic (50.0%), and conceptual understanding shows the most significant improvement (40.0%). Beyond improving mathematics achievement, ethnomathematics integration contributes to cultural preservation through cultural contextualization in learning (60.0%), strengthening cultural identity and values (26.7%), and active local cultural preservation (10.0%). The study recommends teacher training, curriculum policy strengthening, cross-sector collaboration, and further research to sustain ethnomathematics implementation in Indonesian elementary schools.

Allergic rhinitis (AR) is a chronic inflammatory disorder of the nasal mucosa mediated by immunoglobulin E (IgE) in response to allergen exposure. This condition has become a significant global health concern because of its increasing prevalence and substantial impact on quality of life, sleep, cognitive function, and work productivity. AR is also commonly associated with other atopic diseases, including asthma and atopic dermatitis. This article aims to review the current understanding of allergic rhinitis, focusing on epidemiology, pathophysiology, clinical manifestations, diagnostic approaches, and evidence-based management strategies. This study used a narrative literature review method by analyzing scientific articles, clinical guidelines, and peer-reviewed journals published between 2015 and 2025. Literature sources were obtained from PubMed, Google Scholar, and relevant medical databases using keywords related to allergic rhinitis, IgE, diagnosis, and immunotherapy. The findings indicate that allergic rhinitis involves complex immune mechanisms characterized by Th2 lymphocyte activation, IgE production, and inflammatory mediator release. Diagnosis is primarily established clinically and supported by allergy testing such as skin prick tests or serum-specific IgE measurement. Intranasal corticosteroids remain the first-line therapy for moderate to severe cases, while antihistamines and leukotriene receptor antagonists are used as adjunctive therapies. Allergen immunotherapy has shown effectiveness in modifying disease progression and improving long-term outcomes. In conclusion, allergic rhinitis is a manageable chronic disease that requires a comprehensive and individualized treatment approach involving environmental control, pharmacotherapy, and immunotherapy.

People with disabilities still face various barriers in exercising their equal rights, including in accessing public facilities and tourism sites. This study aims to analyze the factors that support and hinder the implementation of Cimahi City Regulation No. 20 of 2018 on the Protection and Fulfillment of the Rights of Persons with Disabilities, particularly at tourist attractions in Cimahi City. The approach used is qualitative, employing a case study method to explore the phenomenon of policy implementation in depth using various data sources. The research findings indicate that supporting factors include strong legal legitimacy, the local government’s political commitment, coordination across Local Government Agencies (LGAs), the use of social media for outreach, and the involvement of the disability community in the planning process. Meanwhile, inhibiting factors include budget constraints, suboptimal accessibility facilities, a weak database system for disability needs, uneven public outreach, low empathy among tourism managers, and weak enforcement of sanctions. This study implies the need for strengthened oversight, optimization of resources, massive legal education, and a shift in mindset to achieve substantive inclusivity.

Amidst rising global pressure regarding sustainability and cross-border trade, customs agencies are no longer viewed merely as gatekeepers but as strategic actors in global environmental governance through the Green Customs Initiative (GCI). This research aims to uncover the evolutionary patterns of GCI research within the context of adaptive policy, map its intellectual structure, and identify future thematic directions. The methodology employs a bibliometric analysis of documents sourced from the Web of Science database, utilizing VOSviewer software to perform co-authorship, bibliographic coupling, and co-word analysis.The results demonstrate that the dominance of scientific actors in this field is determined more by the strength of collaboration networks than by the mere volume of publications. The findings identify that the primary intellectual foundations of GCI research rest upon the critical relationship between environmental regulation, international trade, market responses, and eco-innovation. Furthermore, country-level analysis highlights the central roles of China, the United States, and the United Kingdom in shaping the knowledge structure of this domain. Overall, these findings underscore that the GCI has evolved into a multidisciplinary field that requires an adaptive policy framework to respond to the dynamics of ecological risks and global trade demands through institutional flexibility and cross-actor collaboration. By integrating environmental protection into border management and risk assessment, this study provides a strategic reference for customs authorities to move toward a more responsive and knowledge-based green customs administration.