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Tuberculosis (TB) remains a global and national health issue. Sijunjung Regency has seen an increase in TB cases, with fluctuating treatment success rates. Medication adherence is a key factor in treatment success and is influenced by the quality of health care services. This study aims to analyze the quality of services regarding medication adherence among TB patients, explore patients’ perceptions, describe service factors influencing adherence, and understand the role of health workers from the patients’ perspective at Community Health Centers (Puskesmas) throughout Sijunjung District. This study employed a qualitative approach with a phenomenological design. The primary informants consisted of 8 TB patients, plus key informants (2 healthcare workers) and additional informants (2 family members). Data were collected through in-depth interviews, observations, and document reviews. Analysis utilized the Miles & Huberman model.Research results on the quality of healthcare services are related to the level of medication adherence in tuberculosis patients. The dimensions that contribute most to adherence are empathy, assurance, and responsiveness. Positive perceptions are seen in aspects of interpersonal relationships (friendliness, patience, effective communication) and logistical reliability (drug availability), while negative perceptions are related to the lack of privacy in waiting rooms, long administrative waiting times, and inflexible service hours for informal workers. Health service factors that influence adherence include continuous education and information, active supervision and monitoring, ease of service access, and support from healthcare workers. The role of healthcare workers in supporting patient adherence, according to the patient's perspective, is as educators and motivators.Based on this study, high-quality care particularly empathy, assurance, and responsiveness is crucial for patient adherence. Improvements to physical facilities and greater flexibility in service hours are needed.  

This study aims to examine the factors influencing tax avoidance, with debt (leverage) acting as a mediating variable. The independent variables include internal audit compliance, sales level, capital intensity, firm political connections, and corporate social responsibility (CSR). The sample consists of 306 manufacturing firms from the consumer goods, basic materials, and industrial sub-sectors listed on the Indonesian Stock Exchange during the 2019–2021 period, selected using purposive sampling.The study employs multiple linear regression and robust regression to compare results across each year of observation. The findings indicate that capital intensity and political connections of the board of directors have a significant effect on tax avoidance, particularly when leverage (Debt to Asset Ratio) serves as a mediating variable. This suggests that firms with high capital intensity and strong political connections tend to use debt strategically to reduce their tax burden. In contrast, internal audit compliance, political connections of the board of commissioners, and sales levels do not show a significant impact on tax avoidance under either regression method. Overall, the results highlight the importance of monitoring leverage usage and political connections to prevent excessive tax avoidance practices.

Tuberculosis (TB) remains a global and national health issue. Sijunjung Regency has seen an increase in TB cases, with fluctuating treatment success rates. Medication adherence is a key factor in treatment success and is influenced by the quality of health care services. This study aims to analyze the quality of services regarding medication adherence among TB patients, explore patients’ perceptions, describe service factors influencing adherence, and understand the role of health workers from the patients’ perspective at Community Health Centers (Puskesmas) throughout Sijunjung District. This study employed a qualitative approach with a phenomenological design. The primary informants consisted of 8 TB patients, plus key informants (2 healthcare workers) and additional informants (2 family members). Data were collected through in-depth interviews, observations, and document reviews. Analysis utilized the Miles & Huberman model.Research results on the quality of healthcare services are related to the level of medication adherence in tuberculosis patients. The dimensions that contribute most to adherence are empathy, assurance, and responsiveness. Positive perceptions are seen in aspects of interpersonal relationships (friendliness, patience, effective communication) and logistical reliability (drug availability), while negative perceptions are related to the lack of privacy in waiting rooms, long administrative waiting times, and inflexible service hours for informal workers. Health service factors that influence adherence include continuous education and information, active supervision and monitoring, ease of service access, and support from healthcare workers. The role of healthcare workers in supporting patient adherence, according to the patient's perspective, is as educators and motivators.Based on this study, high-quality care particularly empathy, assurance, and responsiveness is crucial for patient adherence. Improvements to physical facilities and greater flexibility in service hours are needed.  

Critically ill patients are individuals with unstable health conditions who require close monitoring of hemodynamic parameters. The high mortality rate among critically ill patients treated in intensive care units reaches 36.5% of 33,148 patients. Hemodynamic instability in critically ill patients can be influenced by underlying diseases, medical interventions, as well as physical and psychological stress responses during treatment. Therefore, in addition to pharmacological therapy, non-pharmacological interventions such as Asmaul Husna dhikr therapy are needed, as they can provide a relaxation effect and help stabilize hemodynamic parameters in critically ill patients. To determine the outcomes of the implementation of Asmaul Husna dhikr therapy. This study used a descriptive case study method involving two critically ill patients with unstable non-invasive hemodynamic parameters. Changes in non-invasive hemodynamic parameters were observed in both respondents after the implementation of Asmaul Husna dhikr therapy. In respondent 1, the hemodynamic status was initially categorized as increased and became stable after the intervention. Similarly, in respondent 2, the hemodynamic status changed from increased before the intervention to stable after the intervention. The implementation of Asmaul Husna dhikr therapy can be used as a complementary therapy to help stabilize hemodynamic parameters in critically ill patients.

Pressure ulcers are a common complication in patients with impaired consciousness due to prolonged immobilization. This condition can increase morbidity and prolong the length of stay, thus requiring effective preventive interventions such as progressive mobilization. To determine the outcomes of implementing progressive mobilization on the incidence of pressure ulcers in patients with impaired consciousness at the Anggrek 2 High Care Unit (HCU) of Dr. Moewardi General Hospital. This study employed a case study design involving two participants with impaired consciousness. The intervention, consisting of progressive mobilization, was conducted over 3 days with monitoring of skin condition and pressure ulcer risk. Findings: Following the implementation of progressive mobilization, both participants showed improvement in skin condition and a reduction in the risk of pressure ulcers, as evidenced by the absence of progression to more severe wounds and an increase in skin integrity. The application of progressive mobilization is effective in preventing and reducing the risk of pressure ulcers in patients with impaired consciousness. This intervention can serve as a safe and planned nursing intervention in the intensive care unit.

In the current digital era, public services are increasingly being transformed through technology, including tax administration systems. One of the major innovations implemented by the Indonesian government is the Core Tax System, an integrated tax administration system designed to improve service efficiency, data integration, and taxpayer compliance monitoring. This study aims to analyze the effect of Core Tax System implementation on taxpayer compliance in Indonesia. The research adopts a quantitative approach using primary data collected through questionnaires distributed to taxpayers. The collected data were tested using validity and reliability tests and analyzed through descriptive statistics and significance testing to examine the relationship between the research variables. The results indicate that the implementation of the Core Tax System has a positive and significant effect on taxpayer compliance, both partially and simultaneously. These findings suggest that tax system digitalization can serve as an important instrument in improving taxpayer compliance in Indonesia.

The implementation of smoking prohibition policies in Islamic boarding schools continues to depend largely on manual monitoring methods, which often face challenges related to consistency and supervision range. This study aims to design an Internet of Things (IoT)-based cigarette smoke detection system as an alternative monitoring approach that is more effective, measurable, and sustainable. The system design combines an MQ-2 gas sensor with a NodeMCU ESP8266 microcontroller programmed through the Arduino IDE platform. When smoke levels detected by the sensor exceed the predetermined limit, the system automatically triggers a buzzer and LED as warning indicators while simultaneously sending monitoring data to cloud-based platforms such as Firebase or ThingSpeak for real-time observation through web interfaces. The research outputs include a comprehensive system design consisting of system architecture, electronic circuit schematics, flowcharts, and pseudocode that are systematically arranged to support future prototype development and implementation. Through this design, the proposed system is expected to provide an initial technological solution that can enhance the effectiveness of monitoring and enforcing smoke-free regulations within Islamic boarding school environments.

Suspicious urban sound recognition is a critical component of intelligent public safety and urban monitoring systems, enabling the automated identification of anomalous acoustic events such as gunshots, sirens, and other security-sensitive sounds. However, existing deep learning approaches often struggle to simultaneously capture long-range temporal dependencies and global contextual relationships, particularly under noisy and acoustically complex urban conditions. This limitation can reduce reliability in safety-critical scenarios where missed detections carry significant risk. To address these challenges, this study proposes a Multi-Branch Bidirectional Long Short-Term Memory (BiLSTM) framework with Multi-Head Self-Attention (MHSA) for enhanced sequential and contextual feature modeling. Mel-frequency cepstral coefficients (MFCCs) are extracted from a curated subset of the UrbanSound8K dataset, comprising five suspicious sound classes, and used as input to the proposed architecture. The multi-branch design enables complementary temporal representations, while the self-attention mechanism provides lightweight contextual weighting of BiLSTM outputs. Experimental results demonstrate that the proposed model achieves a test accuracy of 95.59%, outperforming conventional Dense and LSTM-based baseline models under identical experimental settings. An ablation study further confirms the contribution of multi-branch integration and attention-based enhancement to overall performance. Class-wise evaluation reveals consistently high recall across all sound categories, particularly for safety-critical classes such as gunshots and sirens. These findings indicate that the proposed framework provides robust and reliable performance, making it suitable for real-time smart city surveillance and public safety applications.

This study aims to design and develop an Augmented Reality (AR)-based application for real-time data monitoring of an automatic weather station at PT. XYZ. The system was developed using a prototyping method, involving five key stages: sensor data acquisition via CBOX devices and the Modbus RTU protocol, data transmission through a Flask-based Web API, storage in a MySQL database, QR code-based target image creation using the Vuforia Engine, and a 3D visualization interface developed with Unity integrated with the Vuforia SDK on Android devices. The system successfully received and stored weather data—such as temperature, humidity, and wind speed—into the MySQL database. The AR application also displayed a stable 3D interface panel over QR code markers, providing real-time data updates through an HTTP-based mechanism. This research demonstrates the successful integration of SCADA, Flask, MySQL, and Unity, enhancing both the functionality and commercial appeal of PT. XYZ’s weather station products. Future research should focus on field testing, cloud network integration, and device compatibility.

Uterine myoma is a benign smooth muscle tumor of the uterus commonly found in women of reproductive age and may cause symptoms related to mass effect and hematologic disturbances. We report the case of a 41-year-old woman presenting with progressive vaginal pain for 3 months, accompanied by low back pain and impaired daily activities, without vaginal bleeding, vaginal discharge, fever, or urinary or defecatory symptoms. Laboratory examination revealed severe microcytic hypochromic anemia with a hemoglobin level of 4.7 g/dL, while ultrasonography demonstrated a 9.93 × 10.32 cm mass described as symmetric, well circumscribed, and hyperechoic, leading to a working diagnosis of uterine myoma with anemia. The patient was managed with general condition monitoring, intravenous fluids, analgesics, transfusion of four units of packed red cells, and laparotomy as definitive intervention. Following transfusion and surgery, the hemoglobin level increased to 9.4 g/dL and subsequently to 11.0 g/dL, accompanied by improvement in postoperative symptoms and clinical condition. This case demonstrates that a large uterine myoma may present predominantly with pelvic pain and functional impairment in the absence of vaginal bleeding. A comprehensive approach involving systematic evaluation, preoperative correction of anemia, appropriate surgical intervention, and postoperative monitoring is essential to improve safety and clinical outcomes in patients with symptomatic pelvic masses.

Patients with ANSD may have hearing thresholds that vary from normal to severe hearing loss, but they often have difficulty understanding speech, especially in noisy environments. This condition can be caused by various factors, including genetic mutations (such as in the OTOF gene), preterm birth, perinatal hypoxia, and hyperbilirubinemia. Some adult patients have been reported to develop ANSD following autoimmune disorders such as sensorimotor neuropathy or after chemotherapy with ototoxic agents such as cisplatin. Diagnosis of Auditory Neuropathy Spectrum Disorder (ANSD) begins with a comprehensive medical history to identify risk factors that play a role. A history of preterm birth, severe hyperbilirubinemia requiring exchange transfusion, perinatal hypoxia, ventilator use, and a family history of infection or genetic disorders are major risk factors. In addition, patients or parents often report delayed speech development, inability to understand speech (especially in noisy environments), or a discrepancy between previous hearing test results and the child’s behavioral response. The gold standard for diagnosing ANSD is a combination of: (1) positive OAE and/or CM, (2) absent or abnormal ABR, and (3) absent acoustic reflex. This diagnosis is established only if there is evidence that the cochlea is functioning normally but there is a disruption in auditory nerve transmission. Routine monitoring is conducted to assess hearing and language development and adjust devices and therapy methods according to the patient’s needs. Counseling and education for families are also crucial components to provide optimal support at home and improve the patient’s quality of life. A comprehensive multidisciplinary approach is essential to ensure effective management of ANSD and achieve the best possible outcomes.

Health program planning is an essential process in improving public health status through a systematic and data-driven approach. This study aimed to analyze health program planning based on situational analysis and the problem solving cycle (PSC), as well as to identify the root causes of problems using the fishbone approach. The research employed a descriptive qualitative method supported by simple quantitative data. Data were collected through in-depth interviews, observations, and documentation involving purposively selected informants. The results of the situational analysis identified several major health problems, including stunting, low posyandu attendance, and limited maternal knowledge regarding nutrition. Priority setting using the USG method determined stunting as the main health issue. Furthermore, root cause analysis using a fishbone diagram revealed that stunting was influenced by various factors related to man, machine, method, material, environment, money, and management. The application of the problem solving cycle facilitated systematic intervention planning, including nutrition education, community empowerment, and child growth monitoring. Program implementation demonstrated improvements in maternal knowledge and posyandu attendance. In conclusion, health program planning based on situational analysis, fishbone analysis, and the problem solving cycle proved effective in producing targeted and sustainable interventions.

The principle of the presumption of innocence is a fundamental principle in criminal law that aims to protect the rights of suspects from the beginning of the legal process. This principle is enshrined in the 1945 Constitution and regulated in Article 8 of Law Number 8 of 1981 concerning the Criminal Procedure Code (KUHAP), which states that a person cannot be considered guilty unless a court decision with permanent legal force declares them guilty. The application of this principle at every stage of examination (investigation, prosecution, and trial) is crucial to ensuring the protection of the rights of perpetrators (suspects or defendants) and preventing the abuse of power that may harm individuals who have not been proven guilty. This research focuses on examining the consequences of violations of this principle in investigations and the protection of suspects’ rights within the criminal justice system, along with efforts to prevent such violations. The method used is a literature review with a juridical-normative approach. The findings indicate frequent neglect of the presumption of innocence, leading to human rights violations. To prevent this, stricter supervision by external monitoring bodies, such as the National Commission on Human Rights, is necessary to safeguard the rights of suspects.

Health program planning is an essential process in improving public health status through a systematic and data-driven approach. This study aimed to analyze health program planning based on situational analysis and the problem solving cycle (PSC), as well as to identify the root causes of problems using the fishbone approach. The research employed a descriptive qualitative method supported by simple quantitative data. Data were collected through in-depth interviews, observations, and documentation involving purposively selected informants. The results of the situational analysis identified several major health problems, including stunting, low posyandu attendance, and limited maternal knowledge regarding nutrition. Priority setting using the USG method determined stunting as the main health issue. Furthermore, root cause analysis using a fishbone diagram revealed that stunting was influenced by various factors related to man, machine, method, material, environment, money, and management. The application of the problem solving cycle facilitated systematic intervention planning, including nutrition education, community empowerment, and child growth monitoring. Program implementation demonstrated improvements in maternal knowledge and posyandu attendance. In conclusion, health program planning based on situational analysis, fishbone analysis, and the problem solving cycle proved effective in producing targeted and sustainable interventions.

This study aims to design and develop an Android-based public infrastructure damage reporting application on Lepat Island, South Bangka Regency, as an effort to support the Smart Island concept. The background of this study is the continued use of a manual reporting system that causes delays in handling and a lack of transparency. The method used is Agile which includes the stages of system design, implementation, testing and periodic evaluation. Data collection techniques are carried out through observation, interviews, and literature studies. The results of the study are an Android-based application that allows the public to report infrastructure damage with features to upload photos, descriptions, and GPS-based locations. In addition, the application provides report history and status monitoring features to increase transparency. The implementation results show that the use of mobile technology can improve service efficiency, speed up the reporting process, and increase community participation. This application is expected to support the implementation of Smart Governance and Smart Island in the region.

Healthcare-Associated Infections (HAIs) remain a major global challenge in healthcare services, contributing significantly to increased morbidity, mortality, and healthcare costs. Nurses’ compliance with the use of Personal Protective Equipment (PPE) is a critical component in infection prevention and control programs. Supervision by Infection Prevention and Control Nurses (IPCNs) is considered a key factor in improving compliance. This study aimed to analyze the relationship between IPCN supervision and nurses’ compliance with PPE usage in inpatient wards at Grha Permata Ibu Hospital, Depok, in 2025. This study employed a quantitative approach using a correlational analytic design with a cross-sectional method. The population consisted of all 56 nurses working in four inpatient wards, and total sampling was applied. Data were collected using a structured IPCN supervision questionnaire and direct observation checklists of PPE compliance. Data analysis included univariate and bivariate analysis using the Chi-square test. The results revealed that most respondents perceived IPCN supervision as moderate (58.9%), while the majority demonstrated compliance with PPE usage (62.5%). Bivariate analysis indicated a statistically significant relationship between IPCN supervision and PPE compliance (p = 0.001). Nurses receiving high-level IPCN supervision were 33.85 times more likely to comply with PPE usage compared to those receiving moderate supervision. In conclusion, IPCN supervision plays a crucial role in enhancing nurses’ compliance with PPE usage. Strengthening IPCN supervisory functions through structured monitoring, continuous education, and consistent evaluation is strongly recommended to improve patient and healthcare worker safety and to reduce the incidence of HAIs in hospital settings.

Correspondence administration is vital for supporting operational efficiency in schools. However, manual management often leads to issues such as data retrieval delays, recording errors, and the risk of lost archives. This research aims to design and develop a Web-Based Administration Data Monitoring Information System using QR Codes at UPTD SMAN 3 Majene. The study employs the Research and Development (R&D) method with the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance.The system involves three primary users: Admin/Administrative Staff, Teachers, and the Principal. QR Codes are implemented as digital identities to facilitate easier archive tracking and retrieval. Results indicate that the system enhances effectiveness and efficiency in correspondence management, accelerates letter request services, and simplifies data monitoring for school management. This system is expected to provide a solution for achieving orderly administration at UPTD SMAN 3 Majene. Furthermore, QR Code integration ensures document validity and digital archive security, supporting a more modern, transparent, and sustainable school governance transformation.

Marriage confirmation services are often hampered by manual procedures, leading to delays and administrative errors. This study aims to design and implement a web-based Marriage Confirmation Information System to facilitate registration, document uploads, and online monitoring of verification status and court schedules. The system was developed using the PHP programming language and MySQL database using the Waterfall method, encompassing analysis, design, implementation, and testing. The results show that the system is capable of optimally performing all managerial functions, from document validation to report automation. Black Box testing confirmed that all features functioned as expected and were easy to use. In addition to improving bureaucratic efficiency, the system ensures data security through login encryption and provides transparency through real-time status tracking. The presence of this platform significantly saves time and transportation costs for the public, as bureaucratic processes can be monitored from anywhere. In conclusion, this system successfully supports the digitalization of public services and improves the quality of administration within the Office of Religious Affairs (KUA) and Religious Courts, thereby realizing more effective, efficient, accountable, and modern governance for all levels of society

The abuse of authority by public officials within Indonesia’s governmental administration has become an increasingly urgent issue to address. Such misconduct undermines the fundamental principles of good governance  including transparency, accountability, and justice which are essential for ensuring efficient and effective government operations. This study aims to conduct an in-depth analysis of the forms of abuse of authority by public officials, the factors influencing such behavior, and its impact on the effectiveness of governance and public trust. The research employs a normative approach with a prescriptive legal method, analyzing legislation related to the abuse of authority as well as a case-based approach to explore the implementation of authority by public officials in governmental practice.The findings indicate that abuse of authority may occur in various forms, such as exceeding the limits of granted power, conflating different authorities, or acting arbitrarily for personal or group interests  all of which contradict the principle of legality governing governmental actions. Moreover, such practices negatively affect the quality of public services and tarnish the image of governmental institutions. The study also finds that although Law No. 30 of 2014 on Government Administration provides a clear legal framework, its implementation remains hindered by weak internal and external oversight systems. Therefore, this research recommends strengthening more effective supervision mechanisms, enhancing transparency in administrative decision-making processes, and involving the public in monitoring efforts to ensure that public officials exercise their authority in accordance with established objectives in pursuit of a clean and just government.

Air quality in the Special Capital Region of Jakarta has shown a concerning decline in recent years, largely due to high emissions from motor vehicles as the main source of pollution in urban areas. The Provincial Government of DKI Jakarta issued Governor Regulation Number 66 of 2020 concerning Exhaust Emission Testing for Motor Vehicles as a public policy instrument aimed at controlling air pollution. This study aims to analyze the implementation of the regulation from a public policy perspective and to identify supporting and inhibiting factors in its execution. The research employs a normative juridical method with statutory and conceptual approaches, supported by qualitative analysis of policy documents and reports on the implementation of emission testing. The results reveal that the implementation of the regulation has not been optimal due to limited emission testing infrastructure, low levels of public awareness and socialization, and inconsistent enforcement of administrative sanctions. Nevertheless, there are opportunities to improve policy effectiveness through strengthened inter-agency coordination, digitalization of monitoring systems, and increased environmental literacy among the public. Therefore, the success of emission control policy implementation is highly dependent on resource support, regulatory consistency, and community awareness, necessitating a comprehensive and continuous multi-stakeholder improvement strategy and stronger commitment.