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The internship registration process at the Communication and Information Office of Tegal Regency is still carried out manually, resulting in several problems, such as lengthy registration procedures, difficulties in managing and retrieving data, and the risk of document loss. This study aims to design and develop a web-based internship registration information system that supports the registration, verification, selection, and information delivery processes in an integrated manner. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, and testing stages. The application was developed using the Laravel framework and MySQL database. System testing was conducted using the Black Box Testing method to ensure that all system functions operate according to user requirements.The results indicate that the developed system can simplify the internship registration process, improve data management efficiency, accelerate the selection process, and provide real-time registration status information to applicants. Based on the testing results, all system features function properly and meet the predetermined functional requirements.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

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 study aims to analyze the implementation of Land and Building Tax (Pajak Bumi dan Bangunan or PBB) collection and its significant impact on local revenue generation. Land and building tax is a crucial component of local government revenue in Indonesia, especially following the implementation of regional autonomy and fiscal decentralization policies. Despite its critical role in funding local infrastructure and public services, the realization of PBB often falls short of its potential targets. This research utilizes a qualitative descriptive approach, employing secondary data collected from local revenue agencies and extensive literature reviews of previous academic publications. The objectives are to evaluate the effectiveness of current collection mechanisms, identify the primary obstacles hindering taxpayer compliance, and assess the overall contribution of PBB to regional financial independence. The findings reveal that while the administrative framework for PBB collection is generally well-established, practical implementation faces numerous challenges, including outdated land value assessments, low taxpayer awareness, suboptimal database management, and limited human resources within the tax apparatus. Furthermore, the study indicates that targeted digitalization of tax services and proactive public socialization campaigns can significantly enhance compliance rates. Practically, the results provide valuable recommendations for local policymakers to reform their tax collection strategies, optimize revenue streams, and ensure sustainable regional development.

The development of information technology has brought major changes in government agencies managing data and information, including in the KPKNL office. Asset data management that is still done manually often causes various obstacles, such as recording errors, delays in preparing reports, and difficulties in data validation. These conditions can affect the effectiveness and efficiency of the ongoing administrative process. The development of this system is carried out by designing using UML, designing databases with ERD, and implementing web applications. The main features included in this web system are asset data, activity logs, asset monitoring, and asset reports. This web-based system makes it easier to manage asset data in the office at KPKNL. This improves employee work efficiency, reduces recording errors, and makes it easier for users to access information. With this web application, the asset data collection process runs faster, more integrated, and very well documented.

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.

The high number of elderly people has led to various health problems that must be faced. However, there are still elderly people who are reluctant to carry out regular physical activity, so the health status and quality of life of the elderly also decline. Aims: This systematic review aims to identify the relationship between social cognitive theory (SCT) on physical activity in the elderly. Methods: This systematic review method approach is based on PRISMA. This systematic review examines several research articles from journal databases, namely PubMed and ScienceDirect, and obtained 13 articles in 2019-2024. The keywords used in the search are “Social Cognitive Theory”, “SCT”, “Physical Activity”, “PA”, and “Elderly”. The articles reviewed met the inclusion criteria, namely relevant article topics, original research articles in English, and publications in the last five years. The eligibility criteria were then assessed separately using the JBI Critical Appraisal Checklist tool.  Results: From a total of 13 articles reviewed, it can be concluded that the majority of articles explain how important the social cognitive patterns that elderly people must have in relation to the physical activity of the elderly, such as predicting the physical activity of the elderly, increasing the exercise behavior of the elderly, influencing the level of physical activity for people with chronic diseases, and adjusting physical activity with the abilities of the elderly. The higher an elderly person's social cognition, self-efficacy, encouragement, and social support to be able and willing to carry out physical activities in accordance with the elderly's abilities and physical condition. Conclusion: The social cognition of the elderly places more emphasis on the ability of the elderly to learn things around them, so that the elderly have self-efficacy, encouragement, and social support to do things in according to their goals and beliefs. Health workers in provide health services to the community, social cognitive theory can be used for alternative to increase the physical activity of the elderly. A personalized smartphone-based intervention based on SCT is highly effective for promoting physical activity in older adults.  

Background: The rising global burden of hypertension presents a massive public health challenge, with its mitigation heavily tied to modifiable dietary factors. Among these, the escalating intake of sugar-sweetened beverages (SSBs) has emerged as a significant dietary risk. Objectives: This study aims to synthesize recent epidemiological evidence regarding the association between various types of sweetened beverages and the risk of hypertension. Methods: A narrative-analytical review was conducted by retrieving observational studies and meta-analyses published between 2023 and 2026 from the Scopus database using explicit keyword combinations targeting SSBs, prospective cohorts, and blood pressure outcomes. Findings: Synthesized data reveals that high consumption of traditional SSBs significantly increases hypertension risk by 13% (RR: 1.13) and elevates systolic blood pressure in children, primarily driven by excess liquid calories. Artificially sweetened beverages (ASBs) show a 14% risk increase in observational data, potentially confounded by reverse causation, whereas acute pure fructose ingestion triggers rapid transient blood pressure elevation. Energy drinks induce rapid 24-hour blood pressure spikes due to high caffeine content. Conversely, 100% pure fruit juice exerts a protective effect (RR: 0.74) via endothelial-improving polyphenols, while honey demonstrates a neutral effect. Implications: Public health policies must implement aggressive regulatory interventions, such as taxation on SSBs and energy drinks, alongside targeted dietary counseling that differentiates between harmful liquid sugars and protective natural fruit juices.

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.

Children's literacy can be improved through interactive learning media. A digital children's story platform, previously a mobile application, required web version development to expand user accessibility via browsers. The main challenge in this development was presenting multimedia content such as text, images, and audio dubbing synchronously scene-by-scene without degrading system performance, as well as facilitating reader interaction through a rating feature. This research aims to design and develop the platform using a Decoupled Architecture approach. The software development method used is Waterfall, encompassing requirement analysis, system design (UML, CDM, and PDM), implementation, testing, and maintenance. During implementation, ReactJS is utilized on the client-side for responsive interface rendering and state management, while Laravel is implemented on the server-side as a RESTful API provider to manage multimedia asset transmission, rating records, and the MySQL database. Functional system testing was evaluated using Black-box Testing, while user experience was validated using Spearman's Rank Correlation. The results indicate that this architectural separation (front-end and back-end) effectively resolves server overload issues commonly found in monolithic architectures and produces a seamless, stable asynchronous data transmission system across various devices.

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

Flooding remains a recurrent hazard in the Special Capital Region of Jakarta (DKI Jakarta), causing substantial disruptions across multiple dimensions community life, including social well-being and economic activities. The availability of flood-related information through the Jakarta One Data Portal (Satu Data Jakarta) provides significant opportunities for broader data utilization; however, transforming such information into meaningful assessments regional vulnerability requires a systematic analytical approach to generate more comprehensive understanding of the conditions of individual urban villages (kelurahan). This study focuses on the classification areas based on the characteristics and impacts of flood events occurring throughout DKI Jakarta. The analysis utilizes flood event records from 2023 to 2025 and incorporates several indicators, including the number of flood occurrences, the number of affected neighborhood associations (RW), the number affected households, the number of affected residents, the number of evacuees, the number of evacuation sites, and floodwater depth. Data processing was conducted using the Knowledge Discovery in Databases (KDD) framework, encompassing data selection, cleaning and preprocessing, transformation, pattern exploration, result evaluation, and knowledge extraction. The findings demonstrate that three-cluster solution effectively captures variations in flood vulnerability levels, corresponding to low-, moderate-, and high-risk categories. A total of 96 urban villages were classified as low-risk, 27 as moderate-risk, and 46 as high-risk areas. The resulting clustering patterns provide a clearer spatial representation of flood-risk distribution across urban villages, thereby offering valuable insights for the development more targeted mitigation strategies, the prioritization of flood management interventions, and the enhancement of evidence-based decision-making processes in DKI Jakarta.

The rapid advancement of Internet of Things (IoT) technologies has transformed conventional residential environments into intelligent smart housing systems capable of enhancing energy efficiency, security, comfort, healthcare services, and environmental sustainability. However, existing studies remain fragmented, focusing on specific technologies or applications rather than providing a comprehensive understanding of the smart housing ecosystem. Therefore, this study aims to systematically review the major technologies employed in IoT-based smart housing systems, examine their contributions to residential benefits, and identify the challenges and future opportunities associated with their implementation. This research adopted a Systematic Literature Review (SLR) approach using the Scopus database as the primary source of literature. The review process followed a structured screening and selection procedure, resulting in the inclusion of 26 studies that met the predefined eligibility criteria. The findings indicate that Artificial Intelligence, Blockchain, Edge Computing, Fog Computing, Cloud Computing, Digital Twin, Smart Grid technologies, renewable energy systems, and advanced sensor infrastructures constitute the primary technological foundations of modern smart housing systems. The reviewed studies indicate that these technologies contribute to energy optimization, cybersecurity enhancement, intelligent automation, healthcare monitoring, safety improvement, and sustainable resource management. However, challenges related to security, privacy, interoperability, scalability, computational complexity, and implementation costs remain important barriers to widespread adoption. In conclusion, IoT-based smart housing systems have evolved into integrated and intelligent residential ecosystems, and future development is expected to be driven by the convergence of Artificial Intelligence, distributed computing, Digital Twin technologies, and sustainable smart infrastructure solutions.  

Teacher performance evaluation is a crucial factor in improving educational quality, but many schools still conduct it manually and subjectively, resulting in less transparent, time‑consuming, and error‑prone outcomes. This study aims to design and develop a web‑based decision support system using the Simple Additive Weighting (SAW) method for selecting the best teacher at MTs Mambaul Ulum. The system was developed using the Waterfall model with the Laravel 12 framework and MySQL database, incorporating two evaluator roles: the principal (assessing 5 criteria: teaching hours, responsibility, mastery of material, personality, and attendance) and the vice principal (assessing 4 criteria excluding personality). Data were collected through observation, interviews, and document review. System testing employed Black Box Testing and accuracy validation by comparing system outputs with manual Excel calculations. The results show that the SAW method effectively ranks teachers objectively, with Kusyanti achieving the highest score of 0.9450. The system attained 100% accuracy, as no difference was found between manual and system calculations. Moreover, the system reduced evaluation time from days to seconds and provides well‑documented results, thus supporting more transparent and accountable decision‑making. Therefore, this system proves to be reliable, objective, and efficient in assisting school administrators in evaluating teacher performance in a structured and fair manner.

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.

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.

Digital documents have become an essential medium for storing, managing, and distributing information in various sectors. Nevertheless, the risk of document alteration and forgery requires an effective mechanism to verify document authenticity. This research focuses on the implementation of Base64 and Pepper methods in a QR Code-based document verification system. The system was developed following the Waterfall software development model, which consists of requirement analysis, system design, implementation, and testing stages. A web-based application was created using PHP and MySQL. Verification tokens were produced from document identity data combined with a Pepper value, encoded using Base64, and embedded into QR Codes attached to PDF documents. During verification, the QR Code is scanned and the extracted token is compared with records stored in the database. Experimental results demonstrate that the proposed system is capable of verifying document authenticity accurately and efficiently. Furthermore, Black Box Testing confirmed that all implemented functions operated as expected. Therefore, the integration of Base64 and Pepper contributes to improving the security and dependability of digital document verification.

Patient trust is a crucial variable in hospital management, determining clinical success, treatment adherence, and institutional loyalty. In the increasingly competitive and digitalized modern healthcare landscape, hospitals face unique challenges stemming from the inherent characteristics of healthcare services. This article presents a systematic literature review exploring the determinants of patient trust through the lens of hospital service characteristics: intangibility, inseparability, variability, and perishability. This study followed the PRISMA protocol and analyzed 150 articles published between 2010 and 2026 from Scopus, Web of Science, and Google Scholar databases. The review results indicate that assurance and empathy are the most significant service quality dimensions in mitigating perceived risk due to intangibility. Meanwhile, the quality of therapeutic communication is a key factor in managing inseparability, and standardization of operational procedures is necessary to address variability. The study also identifies the role of digital technology and the physical environment as "tangible evidence" that strengthens hospital credibility. The managerial implications of this research emphasize the need for organizational culture transformation oriented toward humanitarian values ​​and transparency to rebuild public trust that has eroded in the post-pandemic era.