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The main problem with the water heating system on offshore platforms is the absence of water level monitoring and automatic overflow detection. This has the potential to cause hot water spills that endanger workplace safety and operational efficiency. This research designs and implements a water level monitoring system based on the Arduino Uno microcontroller with HC-SR04 ultrasonic sensors. The system is equipped with LED indicators, a buzzer alarm, and a 16x2 LCD to display water level status in real-time. Water levels are classified into three zones (low, medium, high), and overflow is detected if the water is within 3 cm of the sensor. Testing was conducted on a 5-liter simulation tank representing actual 500-liter tank conditions. Test results showed a reading accuracy of 96% and a quick system response to overflow conditions (<1 second). This system is economical, easy to develop, and highly applicable for offshore environments. In addition, this system can be integrated with IoT technology for remote monitoring.

Rubber prices experience significant and prolonged fluctuations, which impact farmer incomes and management decisions. Understanding historical patterns and price predictions is considered crucial for production planning, marketing, and farmer protection policies. This study aims to identify the characteristics of rubber price time series in Lahat Regency and develop a reliable forecasting model to support short- to medium-term decision-making. This study uses secondary data on monthly average producer prices for the period January 2019–December 2023. The analysis includes the Augmented Dickey–Fuller stationarity test to determine the need for transformation, differencing, and/or logarithmic transformation when necessary, identification of autocorrelation patterns using ACF/PACF, model estimation on the processed data, and evaluation of residual diagnostics (Ljung–Box, normality test) and forecasting accuracy metrics (RMSE, MAE, MAPE, Theil). The level data shows non-stationarity and becomes stationary after the first differencing; The model on log-transformed data had significant parameters and higher explanatory power than the model on de-differenced data, with RMSE and MAPE values ​​within a reasonable range. Forecast confidence intervals widened at longer time horizons, indicating increased projection uncertainty. Conclusion: Validated forecasts can inform farmers and policymakers to manage price risk and design market interventions.

This study aims to analyze the development and scientific relationship between carbon risk perception, behavioral compliance of accountants, and sustainability mindset on the accuracy of carbon performance reporting through a bibliometric approach. This study is driven by the increasing need for accurate carbon reporting amidst global demands for sustainability transparency, as well as the limited understanding of the role of behavioral and psychological factors of accountants in ensuring the reliability of carbon reports. Research data was obtained from two leading scientific databases, namely Scopus and Google Scholar, with the main keywords "carbon risk perception," "behavioral compliance of accountants," "sustainability mindset," and "accuracy of carbon performance reporting." The data selection process was carried out using the PRISMA method to ensure the relevance and validity of the analyzed articles, while bibliometric analysis and visualization were performed using VOSviewer software. The results of the study indicate that the topic related to carbon reporting accuracy has evolved from a technical approach to a behavioral and psychological approach. Network and density visualizations show that behavioral compliance and sus-tainability mindset issues are still new but have high potential for development. Meanwhile, the authors' collaboration map demonstrates the geographic limitations of research, which remains concentrated in developed countries. These findings have important theoretical and practical implications, namely the need to integrate behavioral theory and professional ethics into sustainability accounting research and to en-hance accountants' capacity to understand carbon risks to ensure the accuracy of future sustainability re-porting.

This study aims to analyze and project consumer prices of cabbage commodities at four levels: Ngawi Regency, Pacitan Regency, East Java Province, and nationally, using the additive Holt–Winters forecasting model. Monthly price data for the period January 2020–December 2024 were used to capture the dynamics of levels, trends, and seasonal patterns that affect price fluctuations. Model performance was evaluated using the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) indicators. The results showed differences in model accuracy between regions. East Java Province produced the best performance with the lowest MAE and RMSE values, indicating a more stable price pattern that was easier for the model to capture. In contrast, Ngawi Regency showed the highest volatility, resulting in greater forecasting errors. Pacitan Regency displayed a relatively consistent seasonal pattern with moderate accuracy, while national data showed smoother fluctuations due to the aggregation effect. Overall, the additive Holt–Winters model is effective for short-term projections in regions with low to moderate variability, but is less optimal in regions with highly volatile price dynamics.

This service activity was carried out in the Domestic Trade Sector, Central Java Provincial Industry and Trade Office with the aim of supporting the data collection process and updating the prices of basic necessities. This activity focuses on providing accurate and up-to-date price data as the basis for making price stabilization policies by local governments. The implementation of activities includes observation of the internal data collection system, daily price data input, data validation, and preparation of price development reports. In addition, the service team also coordinates with field officers and market managers to ensure the completeness of information and consistency of the data received. The technical assistance process related to the use of data collection application tools is also carried out to improve the competence of apparatus in managing information more effectively. The results of the activity show that systematic data updates are able to improve administrative efficiency, database accuracy, and support decision-making processes related to regional economic stability. Furthermore, the availability of more reliable price data allows local governments to detect potential price fluctuations early and formulate more timely and targeted intervention steps.

The rapid advancement of generative artificial intelligence, particularly ChatGPT, has significantly influenced educational practices, including the teaching and learning of Islamic education. ChatGPT offers considerable opportunities by providing diverse instructional materials, expediting the preparation of teaching documents, and supporting personalized learning based on students’ abilities and learning preferences. Additionally, it functions as a supplementary learning resource capable of facilitating religious discussions, explaining abstract concepts, and fostering critical thinking skills through fast and adaptive feedback. Nevertheless, the use of ChatGPT in Islamic education also presents noteworthy challenges. The risks of misinformation and hallucination may affect students’ understanding, especially in religious matters that require high accuracy and reliable references. Other challenges include academic integrity concerns, excessive reliance on technology, content bias, and the model’s limited ability to interpret Islamic socio-religious contexts in Indonesia. Furthermore, disparities in digital literacy among teachers and students hinder optimal implementation. This article aims to provide a comprehensive analysis of these impacts and challenges by examining recent literature and empirical studies. The findings indicate that ChatGPT can offer substantial benefits for Islamic education learning when integrated critically and responsibly, supported by enhanced teacher competencies, clear institutional AI policies, and strong emphasis on ethics and source verification. Thus, ChatGPT holds the potential to serve as a strategic innovation for improving the quality of Islamic Religious Education in the digital era.

The livestock sector in Gowa Regency, South Sulawesi, has great potential but is often threatened by outbreaks of Foot and Mouth Disease (FMD), which cause significant economic losses. This study aims to evaluate the FMD control policies implemented by the Gowa Regency Government based on William Dunn's six policy evaluation criteria: effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The study used a qualitative approach with primary data collected through in-depth interviews with key informants from the Livestock and Animal Health Division of the Gowa Regency Livestock and Plantation Service and supporting data from various literature. The findings show that the FMD control policy is effective in achieving zero cases, but efficiency is hampered by limited medical personnel (only two veterinarians) and operational budget dependence entirely on the Central Government. Vaccine adequacy is a pull sistem (demand-driven) and compensation distribution is carried out fairly. Community responsiveness increased after severe losses, and policy accuracy was considered most optimal in the implementation of biosecurity and sanitation while promoting vaccination. As a recommendation, the Gowa Government needs to recruit contract workers in the field of animal health, allocate funds for the procurement of operational vehicles and equipment to support laboratory facilities, and issue a Regent Regulation that strictly regulates the implementation of biosecurity and livestock housing patterns in high-risk areas.

Carpal tunnel syndrome (CTS) is the most common chronic neuropathy of the upper limb, characterized by compression of the median nerve within the carpal tunnel. It typically results from repetitive hand movements or trauma and leads to pain, numbness, and weakness, making it a significant occupational health concern. Increased intracarpal pressure causes venous stasis, edema, and ischemic damage, which slow nerve conduction and are detectable through electrodiagnostic (EDX) studies. Recently, ultrasonographic measurement of the median nerve cross-sectional area (CSA) has been proposed as a noninvasive diagnostic option. This study aimed to evaluate the diagnostic accuracy of ultrasound-based CSA measurement compared with EDX findings in CTS patients. The research was conducted at Al-Imamain Al-Kadhimain Medical City in Baghdad from November 2024 to March 2025 and included 100 patients (200 hands). All individuals underwent both EDX and high-resolution ultrasonography using a 5–13 MHz linear probe, with CSA calculated by the direct tracing method. CTS was confirmed in 102 hands (51%). Affected hands demonstrated significantly prolonged distal motor and sensory latencies, reduced amplitudes, and lower conduction velocities (p < 0.001). Mean CSA was significantly larger in CTS hands (13.75 ± 3.95 mm²) than in non-CTS hands (10.15 ± 3.33 mm², p < 0.001). ROC analysis produced an AUC of 0.776 and an optimal cutoff of 11.5 mm² (72% sensitivity, 76% specificity). CSA also increased with CTS severity. Moderate accuracy was observed when differentiating mild from moderate CTS at a 12.5 mm² cutoff, and moderate from severe CTS. In conclusion, median nerve CSA measurement by ultrasound is a reliable, noninvasive, and rapid tool for diagnosing and grading CTS, complementing EDX assessment.  

Introduction: Incidental findings often occur on periapical radiographs may occur due to the increasing use of periapical radiographs for supporting examinations and the increasing resolution of radiographs. Purpose: To explain about efficiency of periapical radiographs for detecting supernumerary paramolar teeth. Research Methods and Results: This Literature Review is designed to provide an overview of sources that have been searched when researching the topic related to the efficiency of periapical radiographs for detecting supernumerary paramolar teeth. Article searches were conducted on Google Scholar, PubMed and Science Direct using predetermined keywords, namely periapical radiograph, parapremolar, and supernumerary teeth. This literature review uses literature published in 2015–2025 which can be accessed in full text in pdf format. Discussion: Clinical assessment and radiological examination are needed for the diagnosis of supernumerary paramolar teeth. The location of supernumerary teeth from radiographs is an important diagnostic complement for clinical assessment, diagnosis, and treatment planning. Conclusion: Dentists often prefer periapical radiography over panoramic radiography to evaluate oral health, especially in children, due to the low dental X-ray exposure. In many cases, patients only require periapical radiography focused on the teeth. This highlights the strong need for intelligent diagnostic techniques to improve the accuracy and efficiency of periapical radiographic analysis.

The rapid advancement of information technology has significantly transformed accounting practices, including among student entrepreneurs. This study aims to analyze the implementation of technology-based accounting among participants of the Student Entrepreneur Development Program (P2MW) using the Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) frameworks. A descriptive qualitative method with a case study approach was applied to ten informants through in-depth interviews and Likert-scale questionnaires, analyzed thematically and supported by TRI score interpretation across the dimensions of optimism, innovativeness, discomfort, and insecurity. The findings reveal that technology acceptance in accounting is influenced by perceived usefulness, which includes time and cost efficiency, improved data accuracy, ease of real-time access, and accelerated strategic decision-making, as well as perceived ease of use that minimizes technical barriers. The TRI analysis indicates high levels of optimism and innovativeness, with low discomfort and insecurity, reflecting strong readiness for technology adoption. The study concludes that implementing technology-based accounting among student entrepreneurs provides tangible benefits and encourages sustainable use, with practical implications for application developers, educational institutions, and policymakers in strengthening accounting technology literacy among young entrepreneurs

Motorcycle theft remains a widespread issue that demands improved security solutions supported by modern technology.This research discusses the development and implementation of a motorcycle security system design using an ESP8266 microcontroller integrated incorporating the GPS Neo-7M positioning module, SW-420 vibration detection sensor, and an electronically controlled solenoid lock. The  implemented mechanism is monitored and controlled via the Telegram application, allowing the owner to receive real-time updates about the motorcycle’s status through a Telegram Bot. The development process involves hardware integration, ESP8266 programming, and functional testing. The SW-420 sensor detects vibrations as indicators of possible theft, triggering a buzzer alarm and sending instant notifications through Telegram. The GPS Neo-7M module provides location data in real time, automatically or upon user request, through a Google Maps link. Users can also lock or unlock the motorcycle remotely by sending the lock or /unlock commands via Telegram. Test results show that the system responds to vibrations in less than one second, delivers Telegram notifications within 3–5 seconds, and determines location with an accuracy of 3–10 meters. Overall, the proposed system offers an effective, practical, and low-cost solution to enhance motorcycle security.

This research proposes an alternative model for predicting the plasticity potential of clay soils, updating the previous model developed by Firincioglu and H. Bilsel. The alternative lies in the use of the fine fraction content (FC) as the predictive variable, replacing the percentage of sand fraction content (SC) previously suggested. The analysis was conducted on 61 low-plasticity clay (CL) soil samples, classified using the Casagrande and Moreno-Maroto systems, by examining the relationship between consistency limits (LL, PI), grain fractions (sand, silt, clay), and related parameters (FC, sand-silt-clay spectrum, and sand fraction ratio). The correlation analysis results show significant findings, including a strong positive correlation between sand content and the sand ratio (SR), as well as a negative correlation between sand content and FC, and between FC and SR. The performance of the substitute Casagrande quadratic model [2] reveals the best predictive accuracy among the proposed models ( [1], R² =0.90; [3], R²  0.89; [4], R² =0.43; [5], R² =0.93; [6], R² =0.93; [7], R² =0.89; [8], R² =0.89), with the highest R2 value of 0.93, MSE of ≈4.01, and MAE of ≈1.44–1.47. The equation is .

This study looks at how the drum band at SDN 1 Kedungwaru Kidul supports the musical arts abilities of elementary school pupils as an extracurricular activity. It is anticipated that children's IQ would increase as they learn music. The growth of other intelligences is greatly aided by this intellect. Participating in extracurricular drumband training is one way to enhance musical arts abilities. participants in elementary school. On October 4, 2025, 24 grade VI students who had been actively involved in drumband activities for about a semester engaged in music art classes and conducted supervisor interviews in order to collect data. This study employs a qualitative methodology using a case study format to analyze data gathered by observation, documentation, and interviewing techniques. In research, data triangulation is used to verify the accuracy of the data. The study's findings demonstrate that the Drumband Extracurricular Program's implementation process has been proceeding smoothly. Damaged equipment, a shortage of practice time, and pupils who are not focused and diligent in performing the exercises are the challenges encountered. Increasing practice time, purchasing new equipment or repairing broken equipment, and providing constant guidance and direction are the strategies to get beyond these challenges and ensure that drum band practice runs well. The study's recommendations include the necessity of additional research to look at the factors that make drum band extracurricular activities successful and the execution of other arts extracurricular programs at the primary school level  

This study aims to analyze the effectiveness of the Family Hope Program (PKH) in alleviating poverty, with a case study focus on Sei Jang Village, Tanjungpinang City. PKH is a social assistance program initiated by the government to improve the welfare of the poor through conditional cash assistance. The reason the researcher chose this title was to determine the extent to which PKH is effective in reducing poverty, especially since data shows a decline in the number of PKH recipients in Sei Jang Village in 2023. This study uses a qualitative approach with a descriptive method, where data is obtained through in-depth interviews, observation, and documentation studies. To measure the level of effectiveness, the theory from (Makmur, 2015) was used, which states that the elements of effectiveness include accuracy in timing, accuracy in calculation, accuracy in measurement, accuracy in decision making, accuracy in thinking, accuracy in carrying out orders, accuracy in determining goals, and accuracy in targeting. The results of the study show that PKH has had a positive impact on reducing the economic burden on poor families, particularly in meeting the educational and health needs of children. However, the effectiveness of this program is still hampered by several factors, such as delays in fund disbursement, participants' lack of understanding of the program's terms and conditions, and minimal assistance from relevant officials. In addition, another challenge in the form of inaccuracy in targeting beneficiaries also affects the overall achievement of the program. These findings indicate that better management and supervision are urgently needed. This study concludes that although PKH contributes significantly to poverty alleviation, improvements in management and supervision are needed to maximize the program's objectives. The proposed recommendations include increasing the capacity of social workers, improving the beneficiary selection mechanism, and strengthening coordination among stakeholders at the local level.

This study aims to synergize the importance of simple accounting records for MSMEs with Q.S. al-Baqarah verse 282. Where many MSMEs do not implement accounting records even though they are simple. If MSMEs implement this, it can help business sustainability. Allah SWT has commanded business people to record transactions in Q.S. al-Baqarah verse 282. This study uses a qualitative method. The results of the study show that Surah Al-Baqarah verse 282 provides practical and moral guidance that is very relevant to the needs of accounting records in MSMEs. The principles of honesty, accuracy, and justice in this verse are in line with accounting practices that aim to create effective, professional, and sustainable financial management. By implementing these values, MSMEs can face modern business challenges with a strong foundation and oriented towards business sustainability and social harmony. In addition, the application of Qur’anic values can enhance business partners’ trust and improve transparency in transactional relationships. This study recommends that MSMEs strengthen Islamic value-based accounting education to create more trustworthy and competitive financial governance.

The rise of digital technology has changed how young people access information, including political issues. TikTok, a short-video platform, has become a popular medium for first-time voters to engage with political content. This study aims to describe their understanding of political content on TikTok and its influence on political literacy. Using a qualitative approach with in-depth interviews of six informants in Pekanbaru, findings show that TikTok has potential as an accessible and engaging political literacy tool. However, most informants lacked critical skills in verifying content accuracy. The study concludes that although TikTok increases youth interest in politics, digital literacy and critical thinking must be improved to prevent misinterpretation of information.

Solid Dwipantara is a micro, small, and medium enterprise engaged in the custom furniture business located in the Denpasar area. In terms of marketing, the partner has not yet optimally utilized digital technology and still relies on repeat orders, or in other words, orders that come mostly from customers who have used the partner's services before and also from direct recommendations from customers to potential new customers. For furniture design, the partner still uses manual methods by drawing designs on paper for the size and model of furniture desired by customers. This greatly affects the accuracy of the size and model after production because there may be differences between the final product and the initial design desired by the customer, so sometimes the finished product has to be redone. The partner also lacks understanding in utilizing digital technology to find and obtain the latest custom furniture models and designs that keep up with the times. The partner needs a digital marketing medium and assistance in utilizing digital technology to support the product design process

Efficient and integrated public transportation services are a strategic need in sustainable urban development. The Surabaya City Government through the Transportation Department initiated the Wira-Wiri Feeder service on the Bratang-Pasar Turi route (FD07) as a feeder mode that connects densely active areas in the east and west of the city. This study aims to evaluate the implementation and performance of FD07 services using the public policy evaluation framework of William N. Dunn (2003) which includes the dimensions of effectiveness, efficiency, adequacy, justice, responsiveness, and policy accuracy. The research uses a descriptive qualitative approach with data collection techniques through field observations, in-depth interviews, and documentation studies. The results of the study show that the implementation of FD07 services has been running according to operational procedures with an average of 651 passengers per day, supported by field supervision and the Surabaya Integrated Urban Transport System (SIUTS) digital system. However, there are still obstacles in the form of limited fleet numbers, non-professional drivers, limitations of senior mechanics, and inadequate system development budgets. Dunn's six-dimensional evaluation shows that the effectiveness and efficiency of the service are in the medium category, with the main challenges being the accuracy of schedules and the accessibility of bus stop facilities for people with disabilities. This study concludes that improving the quality of human resources, adding fleets, strengthening digital systems, and massive public socialization are strategic steps to realize effective, inclusive, and sustainable feeder services in the city of Surabaya.

This community service program was implemented to address the problem of the low quality of students' Quran reading at TPQ Al-Litfilah Nur, Situhiang Village, which was caused by the lack of implementation of a structured and sustainable tahsin learning method. This activity aims to improve students' Quran reading skills through training and mentoring using the Tilawati method combined with the Asset-Based Community Development (ABCD) approach, so that the potential and resources of the community can be optimized. The program was implemented in stages, including mapping the initial conditions of students' and teachers' abilities, training TPQ teachers on the principles and techniques of the Tilawati method, mentoring the learning process in a classical and individual manner, and evaluating the development of students' reading skills. The results of the activity showed a significant increase in the accuracy of makhraj, the application of basic tajwid, and the fluency of students' Quran reading. In addition, TPQ teachers experienced an increase in pedagogical competence and were able to apply the Tilawati method independently in teaching and learning activities. These findings indicate that strengthening community assets through targeted and participatory training can create meaningful and sustainable changes in improving the quality of Qur'an learning at the TPQ level.

This study investigates the clinical handover process as a critical component of patient safety and healthcare service quality in hospital settings. Inconsistent communication, incomplete documentation, and the absence of standardized procedures were identified as major problems contributing to communication failures and potential adverse events. The objective of this research was to develop and test a structured and effective handover model that could improve communication accuracy and documentation reliability among healthcare professionals. A mixed methods design was employed, consisting of a qualitative phase (in-depth interviews, observations, and document analysis) to explore real-world handover practices, followed by a quantitative phase using a pretest–posttest design to evaluate the effectiveness of the proposed model. The study proposes an integrated handover model based on SBAR-IM (Situation, Background, Assessment, Recommendation, Intervention, Monitoring) strengthened by Quality Control (QC) and Mutual Confirmation (MC) mechanisms. The findings demonstrate a significant improvement in handover quality after implementation, with communication scores increasing from 74 to 84.5 and documentation scores improving from 48.3 to 63.0 (p < 0.05). Qualitative results further revealed reduced communication errors, improved clarity of clinical information, and enhanced interprofessional collaboration. This study concludes that the proposed SBAR-IM–based QC–MC model is effective, practical, and suitable for improving patient safety and healthcare service quality in hospital environments.