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The role of guidance and counseling teachers in student career planning in vocational schools is still weak. The purpose of the study was to analyze the implementation of the BK service program in career planning for vocational school students. The study used a qualitative descriptive method. The study was conducted at SMK Muhammadiyah Paguyangan with research subjects being BK teachers, vice principals for curriculum, and vocational school students. Data collection through observation, interviews, and document studies. Data validation applied triangulation of sources and methods. Data analysis used the Atlas ti.8 application. Research stages; determining topics, compiling interview guidelines, selecting data collection methods, collecting data, analyzing data, and drawing conclusions. Research results; (1) the role of BK teachers in identifying students' potential, interests, talents, providing guidance in choosing education or careers, as motivators, facilitators, mediators, directors, program managers, and informants, (2) BK teacher strategies in student career planning; providing basic services to recognize self-potential, motivating, encouraging the use of technology, and digital platforms, and (3) implementation of BK programs through an integrated process, including; program planning, resource provision, implementation of evaluation services, feedback, and continuous improvement. Program innovation and monitoring are integral parts to maintain the relevance and effectiveness of BK services. The success of BK program implementation depends on the quality of coordination and commitment of all parties in developing the program.

The emergence of Internet of Things (IoT) technology has opened up considerable possibilities for automation systems aimed at enhancing energy efficiency in both home and office settings. This study focuses on the creation and deployment of an IoT-driven Smart Home system utilizing ESP32 for the automatic and manual supervision and regulation of electrical appliances within the Employee Dormitory of the Institute for Lecturer Performance Development (LPKD). The established system employs a Passive Infrared (PIR) sensor for detecting human presence and a Light Dependent Resistor (LDR) sensor to assess the intensity of light in the room. The data from these sensors is analyzed by the ESP32 microcontroller, which controls lights and fans automatically through relay modules based on the surrounding conditions. Furthermore, the system is linked to the Blynk application and the Telegram Bot API to enable remote operation and immediate notifications. The methodological approach taken in this research is Research and Development (R&D) employing a prototyping method. The assessment outcomes show that the system functions reliably, with success rates for sensor detection and appliance management exceeding 95%. The introduction of this system aims to boost electrical energy efficiency, improve user experience, and facilitate the adoption of IoT-centered smart facility management within the LPKD framework.

Internship programs represent one of the implementations of the Kampus Berdampak policy aimed at enhancing students’ competencies, work experience, and readiness to enter the professional workforce. The success of such programs is highly dependent on effective governance through the application of the management functions of Planning, Organizing, Actuating, and Controlling (POAC). This study aims to analyze the implementation of POAC functions in the governance of student internship programs conducted outside Universitas Bina Darma. The research was carried out at the Kampus Berdampak Service Center of Universitas Bina Darma using a quantitative descriptive approach. Data were collected through questionnaires, observations, and documentation involving 23 students participating in off-campus internship programs. Data analysis was conducted using descriptive statistics based on the mean scores of each research indicator. The findings indicate that the implementation of POAC management functions in internship governance was categorized as very good, with an overall mean score of 4.29. The planning variable achieved the highest mean score (4.39), followed by organizing (4.30), actuating (4.27), and controlling (4.21). These results demonstrate that the internship program has been managed systematically and effectively. Nevertheless, monitoring and follow-up mechanisms require further improvement to support a more optimal and sustainable implementation of the program.

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.

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.  

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.

Clean water is a basic human necessity that plays a vital role in public health and well-being. However, access to clean water remains a challenge in many drought-prone areas. This condition requires effective planning and evaluation to ensure the sustainability of clean water supply programs. This article aims to examine the application of the Problem Solving Cycle (PSC) method in the planning and evaluation of clean water supply programs in drought-prone regions. The study employed a literature review method by analyzing various scientific articles and relevant documents. Data were analyzed descriptively through identification, classification, and information synthesis. The findings indicate that PSC supports program planning and evaluation through the stages of problem identification, cause analysis, action planning, implementation, monitoring, and evaluation. Clean water supply programs contribute to improving community access to safe water and adequate sanitation, although several challenges remain, including limited resources, infrastructure management issues, and program sustainability. Therefore, PSC can serve as an effective approach to support the success of clean water supply programs in drought-prone areas.

Introduction: Congestive Heart Failure (CHF) is a complex clinical syndrome caused by the inability of the heart to pump blood adequately to meet the body's metabolic demands. This condition may result in dyspnea, edema, activity intolerance, fatigue, and reduced quality of life. Comprehensive nursing care is essential to address patients' needs and improve health outcomes. Methods: This study employed a descriptive case study approach. Data were collected through interviews, observation, physical examination, and medical record review. Nursing care was provided using the nursing process, including assessment, nursing diagnosis, planning, implementation, and evaluation. Results: The assessment of Mrs. T identified four nursing diagnoses: ineffective breathing pattern, hypervolemia, activity intolerance, and knowledge deficit. Nursing interventions included semi-Fowler positioning, fluid balance monitoring, passive Range of Motion (ROM) exercises, and health education. Following two days of nursing implementation, three nursing diagnoses were resolved, namely ineffective breathing pattern, activity intolerance, and knowledge deficit. Hypervolemia was partially resolved due to persistent fluid imbalance. Discussion: The findings indicate that the application of systematic nursing care can improve several clinical problems experienced by CHF patients. However, fluid balance management remains a challenge, highlighting the importance of patient adherence to fluid restriction and continuous monitoring to prevent worsening symptoms.

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..

Information technology services have an important role in supporting operational activities and digital services at PT Pertamina Patra Niaga Regional Sumbagsel through the MyPertamina application. However, several service disruptions are still encountered, such as server downtime, database errors, system bugs, login failures, and delays in transaction verification, which affect service quality and operational effectiveness. This study aims to analyze the maturity level of information technology services using the ITIL V4 framework, focusing on Incident Management and Problem Management practices. The research employed a mixed methods approach with descriptive analysis through observation, interviews, questionnaires, SWOT analysis, RACI mapping, maturity level assessment, and gap analysis. The results indicate that Incident Management obtained a maturity value of 3.09 and Problem Management obtained 2.91, both categorized at Level 3 (Defined Process). These findings show that service management processes have been implemented and documented properly, although several aspects still require improvement, particularly in monitoring, documentation, root cause analysis, and process evaluation. Therefore, the implementation of ITIL V4 practices is expected to improve the effectiveness, consistency, and quality of information technology service management within the organization.

This study investigates the performance of Internet of Things (IoT)-based monitoring systems using a mobile hotspot and IoT sensors for temperature and humidity data transmission. The research is based on the IoT concept, which enables electronic devices to communicate and exchange data through internet networks without direct human intervention. System performance was evaluated using standard Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. The experimental setup utilized a NodeMCU ESP32 microcontroller and a DHT22 sensor, with measurements conducted at various transmission distances through wireless communication media. The objective was to determine the reliability of hotspot connectivity and sensor communication in supporting IoT applications. The results indicate that the optimal performance was achieved at a distance of 20 meters using a 40-lambda variation. Furthermore, the communication signal between the ESP32 device and the mobile hotspot remained detectable up to a maximum distance of 32 meters. These findings demonstrate the effectiveness of the proposed IoT system for environmental monitoring applications within specific transmission ranges.

Early detection of a potential heart attack is a crucial step in preventing sudden death from heart disease. This research aims to develop an Internet of Things (IoT)-based health monitoring system capable of measuring vital body data in real time and predicting the likelihood of a heart attack from CSV data obtained from sensors, integrated through RapidMiner as learning data using a machine learning algorithm, the Support Vector Machine (SVM). The system was built using an ESP32 microcontroller connected to a MAX30102 sensor to measure heart rate and finger oxygen levels (SpO₂), as well as a DHT22 sensor to measure temperature and humidity. The resulting data is sent to the Blynk application to display real-time data according to its parameters. The initial prediction logic was developed using a rule-based method based on medical thresholds for four vital parameters. The data was then used to train an SVM model as a classification system to detect potential heart attacks. Test results showed that the system can identify abnormal conditions with a good level of accuracy and provide early warnings based on changes in vital parameters in real time. This system is expected to be an initial solution for personal health monitoring, especially for individuals at risk of heart disease. It can be further developed with cloud integration and automatic notifications to users' devices.

Postpartum depression is a postpartum mental health disorder that significantly impacts maternal well-being, infant development, and family functioning. The high prevalence of postpartum depression in Indonesia is due to limited access to health services, low mental health literacy, and social stigma in the community. This indicates a significant gap between the need for maternal mental health services and the availability of existing interventions, making education a crucial component in efforts to prevent postpartum depression early. This study aims to analyze the prevention of postpartum depression in postpartum mothers through telenursing-based education and screening using the Edinburgh Postnatal Depression Scale (EPDS) in the community. A descriptive case study design was used, involving one respondent, a 25-year-old primigravida mother residing in the Bantul area. The intervention was implemented online via WhatsApp and video calls, including structured health education on postpartum psychological changes, adaptive coping strategies, and the importance of social support. The intervention also included daily remote monitoring of the respondent's condition via the WhatsApp mobile application. The EPDS was administered as a pre-test and post-test to evaluate changes in the respondent's psychological condition. The findings showed a significant decrease in the EPDS score from 16 (moderate depression) to 6 (minimal depression), indicating significant psychological improvement. These results imply that integrating EPDS screening, structured health education, and daily monitoring is an effective and accessible community-based approach to preventing postpartum depression, particularly for mothers with limited mobility and access to health services.

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.

Currently, the management of the damaged goods reporting at the Class 1A Jambi District Court still relies on manual procedures through verbal communication and physical logbooks. This mechanism is prone to recording errors, risks of document loss, and complicates real-time monitoring of repair statuses. This study aims to design a web-based Damaged Goods Reporting Information System to improve the effectiveness, transparency, and efficiency of internal asset management. The research method employs a qualitative approach with data collection techniques consisting of interviews, observations, and documentation. System development implements the Waterfall model, comprising requirement analysis, design, implementation, and testing phases. The result of the study deliver a web-based application that integrates features for report input, proof of damage photo uploads, admin validation, and real-time monitoring of repair status. This system successfully simplifies bureaucratic workflows, accelerates response times for damage handling, and minimizes administrative errors.

This study aims to formulate an information system strategic planning model for PT Athria Cipta Mandiri using the Ward and Peppard method. The research was conducted because the company still faces several problems in managing tender and construction project data, such as unintegrated systems between divisions, semi-digital administrative processes, repeated data input, the absence of a centralized database, and project reporting that has not been carried out in real time. This study uses a qualitative descriptive approach with data collection techniques through observation, interviews, and literature study. The analysis was conducted using Value Chain, PESTEL, SWOT, Critical Success Factor, McFarlan Strategic Grid, and application portfolio recommendations. The results show that PT Athria Cipta Mandiri needs an integrated information system for tender and project management, web-based project reporting and monitoring, a document management system, business intelligence dashboard, centralized cloud database, and stronger IT governance. The proposed strategy is expected to improve operational efficiency, data accuracy, inter-division coordination, and data-based managerial decision making.

This study presents an innovation design for an Internet of Things (IoT)-based watering and liquid fertilizer control system for chili plants using a NodeMCU ESP32. The main problem addressed is the manual watering and fertilizing process, which makes it difficult for farmers to monitor soil moisture, temperature, air humidity, and light intensity in real time. The recommended method used in this draft is Research and Development (R&D) with a prototyping approach because the study focuses on designing, building, integrating, and testing an IoT device through iterative stages. The system is designed using a soil moisture sensor, DHT11, LDR sensor, two-channel relay, two 12 V DC pumps, 16x2 I2C LCD, and the Blynk Mobile application for remote monitoring and control. Sensor data are transmitted to Blynk as percentage values and plant condition statuses, while the water and fertilizer pumps can be controlled using virtual buttons. The control logic defines the optimal condition for chili plants based on soil moisture of 60-80%, temperature of 25-30°C, air humidity of 60-80%, and light intensity of 50-90%. Prototype documentation and functional testing data will be completed in the next stage.

This study aims to evaluate the effectiveness of the e-monev application at the Jambi Province Public Works and Public Housing Agency (PUPR) and to identify the constraints encountered in its management. The research used a qualitative descriptive method with data collection through in-depth interviews, observation, and documentation involving seven informants directly engaged in the application's management and operation. The analysis framework adopts the e-government success element theory by Indrajit (2002), comprising three dimensions: Support, Capacity, and Value. The findings reveal that the Support dimension is already strong, marked by leadership commitment, annual socialization and training, clear policy directives, and effective inter-unit coordination. In the Capacity dimension, human resource competence is generally adequate; however, technical constraints such as network instability, system slowdowns during concurrent access, and dependency on external programmers remain significant challenges. The Value dimension confirms that the e-monev application provides positive contributions to reporting efficiency, real-time monitoring, and data-based decision-making. Nevertheless, the overall effectiveness has not yet reached the optimal level due to persistent technical and infrastructure constraints. This study is expected to serve as an empirical basis for improving the quality of digital monitoring and evaluation systems in regional government agencies.

This article analyzes the legal status of golf course development, specifically Gunung Geulis Country Club (GGCC) in the Puncak-Bogor Area within Indonesia's spatial planning policy and Green Open Space (RTH) protection framework, while evaluating its ecological impacts from an environmental justice perspective. Employing a normative juridical method with statutory, conceptual, and case-based approaches, this research identifies two core issues. First, golf course development occupies a legal grey area: it is recognized as private RTH under Article 29(2) of Law No. 26 of 2007 on Spatial Planning, yet substantively fails to fulfill the ecological functions mandated by law due to its exclusivity and inaccessibility to the public. Second, from an environmental justice perspective, GGCC's development generates layered distributive, procedural, and corrective injustices: surrounding communities bear the burden of groundwater contamination, reduced spring discharge, increased surface runoff, and flood risk, while economic and recreational benefits are concentrated among a small number of high-fee members. Weak AMDAL instruments, minimal public participation, and inconsistent spatial monitoring in the Puncak-Bogor protected area exacerbate these conditions. This article recommends policy reforms including stricter private RTH definitions, strengthened participatory AMDAL processes, and consistent application of the polluter-pays principle.

Non-performing loans represent one of the risks faced by banks in their lending activities, particularly in housing loan (KPR) products. This study aims to analyze the procedures for resolving problematic housing loans and to identify the factors causing the decline in debtors’ repayment ability, as well as the obstacles encountered in the implementation of such procedures at PT Bank Tabungan Negara (Persero) Tbk, Tasikmalaya Branch Office. This research employs a qualitative method with a descriptive approach. Data were collected through direct observation and interviews with relevant parties within the bank. The results show that the procedures for resolving problematic loans are carried out through several stages, including submission of restructuring applications, document verification, analysis of the debtor’s repayment capacity, determination of restructuring schemes, approval, agreement signing, and post-restructuring monitoring. These procedures are supported by the application of the 3R concept, namely rescheduling, reconditioning, and restructuring, which are implemented flexibly according to the debtor’s condition. The findings also indicate that the decline in debtors’ repayment ability is mainly caused by decreased income, job loss, increased living expenses, and unstable economic conditions. In practice, several obstacles were identified, such as incomplete documentation, lack of debtor cooperation, and issues related to collateral ownership that has been transferred from the original debtor. Therefore, improved supervision, better communication, and stronger coordination between the bank and debtors are necessary to ensure the effectiveness of loan resolution procedures.