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The implementation of digital health information systems, such as e-Puskesmas, plays an important role in supporting electronic medical records in primary healthcare facilities. However, technical constraints, including network instability and system integration issues, may affect user satisfaction among healthcare workers. This study aims to analyze healthcare workers’ satisfaction in using e-Puskesmas based on the End User Computing Satisfaction (EUCS) method. This research employed a quantitative analytic approach with a cross-sectional design, involving 35 healthcare workers at Puskesmas Klangenan using total sampling. The variables consisted of five EUCS dimensions, namely content, accuracy, format, ease of use, and timeliness. Data were collected using a structured questionnaire with a Likert scale and analyzed using descriptive statistics and Spearman correlation test. The results showed that user satisfaction was categorized as very satisfied across all EUCS dimensions, with mean scores ranging from 4.11 to 4.47. All EUCS dimensions had a positive and significant relationship with user satisfaction (p < 0.05), with format and ease of use showing the strongest correlations. It can be concluded that the quality of system and information in e-Puskesmas significantly influences healthcare workers’ satisfaction, indicating the need for continuous system development to support optimal healthcare services.

Turbinate hypertrophy is a condition characterized by abnormal enlargement of the nasal turbinate mucosa, which can lead to chronic nasal obstruction and decreased quality of life. This condition is associated with inflammatory processes in which eosinophils play a role as part of the immune response. This study aimed to determine the relationship between eosinophil levels and the degree of turbinate hypertrophy based on blood examination in hospitalized patients. This research used an observational analytic design with a cross-sectional approach involving 40 patients diagnosed with turbinate hypertrophy at Cut Meutia General Hospital, North Aceh. Data were obtained from medical records, including patient characteristics, eosinophil levels, and the degree of turbinate hypertrophy. The results showed that most patients were aged 17–25 years, predominantly female, and commonly had non-allergic underlying conditions. The majority of patients had normal eosinophil levels (80%), while most cases were classified as grade III turbinate hypertrophy (65%). Statistical analysis using Fisher’s Exact Test demonstrated no significant relationship between eosinophil levels and the degree of turbinate hypertrophy (p>0.05). These findings suggest that eosinophil levels may not be a reliable indicator in assessing the severity of turbinate hypertrophy, particularly in patients with non-allergic conditions. This study highlights the need to consider other contributing factors in the evaluation and management of turbinate hypertrophy to improve diagnostic accuracy and treatment outcomes.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

Predictive maintenance (PdM) plays a crucial role in modern industrial systems by minimizing downtime, reducing maintenance costs, and optimizing asset performance. However, many predictive models operate as “black box” systems, limiting transparency and making it difficult for operators to interpret their outputs. This study aims to integrate Explainable Artificial Intelligence (XAI) techniques with Remaining Useful Life (RUL) prediction models to improve both accuracy and interpretability. Various machine learning and deep learning approaches, including Support Vector Machines (SVM), Random Forest (RF), XGBoost, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN), are employed to predict RUL using real-time sensor data from rotating machinery. XAI methods such as SHAP, LIME, and attention mechanisms are applied to provide human-understandable explanations of model predictions. The models are evaluated based on accuracy, Root Mean Square Error (RMSE), and interpretability scores. The results show that XAI-enhanced models outperform traditional approaches in predictive performance while offering greater transparency. These explanations help maintenance engineers better understand the factors influencing predictions, thereby improving decision-making and trust in the system. Nevertheless, the integration of XAI introduces additional computational complexity, which may pose challenges for large-scale industrial implementation. Overall, this study highlights the potential of combining XAI with RUL prediction to develop more reliable, transparent, and effective predictive maintenance solutions.

Dance instruction in schools still does not fully support students' ability to understand techniques and movement sequences independently. In the "Semarang Rumah Kita" dance material in grade VIII of SMP N 7 Semarang, the learning process tends to rely on classical methods guided by printed books. This condition indicates the need to develop more varied, interesting, and effective learning media. This study aims to develop and test the feasibility and effectiveness of the "Semarang Rumah Kita" dance video tutorial as a learning medium. The method used is Research and Development (R&D) which includes the stages of needs analysis, product planning, revision, and field trials. The research subjects were grade VIII students of SMP N 7 Semarang. Data were obtained through interviews, observations, validation questionnaires from material experts and media experts, and assessment of student practice. The data were analyzed using quantitative and qualitative descriptive approaches. The results of the study indicate that the developed video tutorial meets the criteria of very feasible and has been proven effective in increasing movement accuracy, cohesiveness, and student self-confidence. These findings are an innovative alternative to support dance learning and improve the quality of dance education in schools.

The objectives of the study are: 1) To analyze the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, 2) To analyze the condition of agricultural land in Nagari Pauh Kamang Mudiak before and after the flash flood. The results of this study: 1) Analysis of the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, namely in the safe class covering an area of 8.34 hectares, the non-vulnerable class covering an area of 12.01 hectares, the vulnerable class covering an area of 51.91 hectares and the very vulnerable class covering an area of 18.13 hectares. This shows that most of the research areas have a high level of vulnerability to flash floods. Furthermore, the analysis of flash flood risks with 4 risk classifications is an area with a low risk of 16.94 hectares, a moderate area of 30.60 hectares, a high area of 37.78 hectares, and a very high area of 5.07 hectares. Based on the results of this analysis, the agricultural land most affected by the flash flood in Nagari Pauh Kamang Mudiak is rice fields covering an area of 72.2 hectares, 2) Analysis of the condition of agricultural land vegetation in Nagari Pauh Kamang Mudiak before and after the flash flood, namely with 5 classes, namely the very low greenness class covering an area of 12.69 hectares, low covering an area of 29.69 hectares, medium covering an area of 13.22 hectares, and high covering an area of 34.84 hectares. The results of the accuracy test using overall accuracy reached a suitability of 89.58% and the kappa coefficient reached a suitability of 84.32%, meaning good accuracysuitability between the classification results and actual conditions in the field.

Background: The Quran is a guide for Muslims, so the ability to read the Quran correctly according to the rules of tajweed (tahsin) is a crucial basic competency. At the Ar Royyan Pacitan Quranic Education Center (TPQ), several students still have weaknesses in the pronunciation of the letters and the accuracy of the length of the recitation (mad). Objective: This community service activity aims to educate and improve the students' mastery of tahsin in order to achieve a quality Quran recitation that meets the standards of tajweed. Method: The talaqqi and musyafahah methods are used, in which students listen directly to examples of recitation from the teacher and then practice them repeatedly. The stages of the activity include a placement test, the provision of practical theoretical material, and intensive recitation guidance (setoran). Results: The educational results show a significant increase in the fluency of letter pronunciation (makharijul huruf) and the accuracy of basic tajweed rules among the students. Furthermore, students' motivation to learn increased along with their understanding of the importance of reading the Quran with tartil. Conclusion: Tahsin education through interactive and intensive methods has proven effective in improving the reading quality of students at TPQ Ar Royyan. Ongoing mentoring is recommended to maintain and develop these skills.    

The proliferation of online gambling promotional comments on Indonesian social media has become a serious issue requiring fast and accurate automated handling. This study aims to implement a Hybrid Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) method to classify online gambling comments and compare its performance with standalone RNN and LSTM models. The research utilized a dataset of 10,230 comments subjected to comprehensive preprocessing stages, including the normalization of non-standard language using a slang dictionary. Testing was conducted across three data-splitting scenarios: 90:10, 80:20, and 70:30. Experimental results demonstrate that the standalone LSTM model achieved the highest average accuracy of 97.45%. However, the Hybrid RNN–LSTM model showed significant superiority in terms of performance stability, yielding the lowest standard deviation (0.0027) and the smallest Coefficient of Variation (0.28%) across all scenarios. These findings indicate that while the LSTM architecture is highly effective at capturing short-text context, the Hybrid approach provides better robustness against fluctuations in data proportions, making it highly relevant for implementation as an automated detection system on social media.

This study is motivated by the importance of the effectiveness of the Indonesia Smart Card for Higher Education Program (KIP-K) in expanding access to higher education for students from low-income families at Universitas Negeri Gorontalo. This study aims to analyze the effectiveness of the implementation of the KIP-K Program based on the aspects of goal attainment, integration, and adaptation. The research employed a descriptive qualitative approach, with data collected through interviews, observation, and documentation. The data were analyzed through the stages of data reduction, data display, and conclusion drawing and verification. In terms of goal attainment, the program helps students continue their education, although several challenges remain, including limited quotas, inaccurate targeting, and suboptimal on-time graduation. In terms of integration, coordination among program administrators, faculties, departments, students, and banking partners has functioned quite well, although academic services for recipients have not been entirely equal. In terms of adaptation, the program has shown the ability to adjust to policy changes and students’ needs through periodic evaluation and adjustments to the disbursement mechanism. The implication is that stronger targeting accuracy, academic assistance, service quality, and evaluation systems are needed to ensure more optimal and sustainable program implementation.

Patient safety is a top priority in healthcare services in hospitals. One of the critical elements is the accuracy of patient identification to prevent incidents such as procedural errors or medication administration. The purpose of this study was to determine the relationship between nurses' compliance in implementing SBAR communication with the accuracy of patient identification at Hospital X, West Jakarta. This study is a quantitative analytical study. The research design used was a cross-sectional study. The population in this study were nurses working at Hospital X, West Jakarta with a sample of 50 respondents taken using the total sampling technique. The data collection technique used an instrument in the form of an observation sheet for SBAR compliance and patient identification accuracy. Data analysis used the Chi-Square statistical test method. Based on the results of the study, it was found that most nurses were not compliant in implementing SBAR communication, namely 27 people (54%) and the majority were not accurate in identifying patients, namely 30 people (60%). The results of the statistical test showed a p value = 0.000 (p <0.05), which means there is a significant relationship between nurses' compliance in implementing SBAR communication with the accuracy of patient identification at Hospital X, West Jakarta. This study indicates that the better nurses' adherence to SBAR communication, the better the accuracy of patient identification. Hospitals are recommended to increase routine supervision and ongoing training to strengthen a culture of patient safety through effective communication.  

The dimensions of healthcare service quality are a concept for measuring service quality. This study aims to determine the effect of the dimensions of healthcare service quality on the satisfaction of inpatients at Cut Nyak Dhien General Hospital in Langsa City. This study uses a quantitative design of the Survey Analytic type with a cross-sectional approach. The population consisted of 121 inpatients with a sample size of 55 respondents using purposive sampling technique. Analysis used multiple logistic regression test (α=0.05). The research results show that there is an influence between Responsiveness p<0.042 with an EXP (B) value of 11.361, Assurance p<0.008 with an EXP (B) value of 20.163, Empathy p<0.018 with an EXP (B) value of 13.547, Reliability p<0.033 with an EXP (B) value of 6.896 on inpatient patient satisfaction (p<0.05), while the Tangible variable shows no influence with p<0.088 and an EXP (B) value of 4.967. Among these variables, the one that significantly affects inpatient patient satisfaction is the Assurance variable with p<0.008 and an EXP (B) value of 20.163. It is recommended to continuously improve the quality of service comprehensively in every dimension of service quality, strengthen the competence and professionalism of healthcare personnel, enhance the speed and accuracy of service, and build good communication to improve the quality of inpatient services and maintain patient trust in the hospital.  

This study aims to systematically examine empirical evidence on the effectiveness of role play in improving EFL students' speaking skills. Using Systematic Literature Review (SLR) methodology guided by the PRISMA framework, this study analyzed 20 peer-reviewed articles obtained from Google Scholar, ERIC, and Scopus databases. Inclusion criteria focused on studies investigating role play as an instructional technique targeting speaking skills in EFL or ESL contexts. Findings reveal that role play consistently and significantly improves key speaking components including fluency, accuracy, pronunciation, vocabulary, and confidence. Additionally, role play reduces speaking anxiety and promotes a more communicative and interactive learning environment. This review also identifies moderating factors such as class size, student proficiency level, and teacher facilitation quality that influence role play effectiveness. These findings suggest that role play is a highly effective pedagogical strategy for improving speaking competence, particularly in EFL contexts, and its systematic integration into curriculum design is strongly recommended.

The rapid development of information technology requires adaptation across various business sectors, including small and medium enterprises (SMEs). BUMDes Poto Bo’o, located in Wolotopo Village, Ndona Timur District, still manages sales data manually using ledger books. This practice leads to several issues, such as data inaccuracies, lack of automatic inventory updates, and delays in report generation.This study aims to design and implement a basic necessities (sembako) sales information system for the BUMDes. The system development method used is the waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is developed using PHP programming language and MySQL database.The main features of the system include product management, customer management, transaction processing, tracking of incoming and outgoing goods, and real-time sales reporting. The results show that the developed information system improves transaction recording accuracy, enhances inventory data accuracy, and accelerates the sales reporting process.Therefore, the system is expected to improve the operational efficiency of BUMDes Poto Bo’o, support financial management transparency, and increase public trust in the performance of the village-owned enterprise.

This study aims to describe and examine effective strategies for memorizing the Quran among students at Pondok Pesantren Salafiyah Ula An-Nashar Batam. The background of this study is influenced by the variation in memorization results, which are related to the learning approaches implemented at the pesantren. Using a descriptive qualitative research design, data were collected through in-depth interviews, participatory observation, and documentation studies of both memorizing students and tahfiz instructors. The findings of the study revealed three basic methods used: (1) the Wahdah method as a cognitive foundation for memorization, (2) the Sima’i method to support the students’ auditory memory, and (3) individual guidance (talaqqi) to ensure the accuracy of Quranic recitation. The success of these memorization strategies is supported by the learning ecosystem, which includes spiritual motivation, a conducive pesantren environment, teacher competency, and family involvement in supporting the memorization process. The implications of this study provide practical insights for tahfiz program managers and enrich the knowledge of Quranic learning, especially at the foundational level, for the development of more effective methods in producing Quran memorizers.

The synchronization of physical and juridical land data is a fundamental prerequisite for ensuring legal certainty in every land rights transfer process. Discrepancies between physical field conditions and juridical documents frequently trigger land disputes that impede the performance of Notary/PPAT offices. This community service article reports on a Field Practice (PPL) activity conducted at the Office of Notary/PPAT in Jember Regency during January–February 2026. The primary objective was to provide technical assistance in accelerating physical-juridical data synchronization to guarantee the validity of issued deeds. The method employed was participatory observation, in which students were directly engaged in the partner's workflow. Assistance activities covered document inspection, file digitization, coordination with BPN and tax authorities, and factual field verification. Results indicate that PPL student assistance measurably accelerated the office's administrative workflow, enhanced data validation accuracy, and confirmed conformity between the physical condition of rice-field land and the certificate documents.

The research aims to find out and lyze the influence of employee empowerment on goal orientation through work accurancy at the Gempolkrep Sugar Factory, Gedeg district, Mojokerto Regency. The research method used is a quantitative research method with the number of samples used as many as 117 respondents using probability sampling techniques with proportionate random sampling techniques. The method used in the collection of data this study is to use a questionaire method with a scale os assesment using the likert scale. The data analysis technique used in this study is using SEM (stuctural equation modeling) with analysis test tools using IBM SPSS AMOS Statistics Version 22 software. The results showed that : 1) Employee empowerment has a significant and positive effect on the work accurancy of the Gempolkrep Sugar Factory in Mojokerto Regency. 2) Eployee empowerment has an significant and negative effect on the goal orientation of the Gempolkrep Sugar Factory in Mojokerto Regency. 3) Work accurancy has an significant and positive effect on the goal orientation of the Gempolkrep Sugar Factory in Mojokerto Regency.

This study aims to descriptively analyze the ability of elementary students to imitate rhythmic gymnastics movements through the Just Dance Now application in Physical Education learning at SDN Bulay 1 Pamekasan. The background of this research stems from the low motivation and movement accuracy of students in conventional rhythmic gymnastics learning. Using a qualitative descriptive approach, this study involved 24 fifth-grade students as subjects. Data collection techniques included participatory observation, in-depth interviews, and documentation. Data were analyzed using the Miles and Huberman interactive model consisting of data reduction, data presentation, and conclusion drawing. The findings indicate that students' ability to imitate rhythmic gymnastics movements through Just Dance Now falls into the sufficient category, with students demonstrating good proficiency in basic movement patterns but experiencing challenges in complex body coordination and musical rhythm synchronization. The application successfully enhanced student enthusiasm and engagement compared to traditional methods. However, technical constraints such as internet connectivity and limited space were identified as implementation barriers. This study implies that digital game-based media like Just Dance Now can serve as an effective alternative visual aid in elementary physical education, particularly for rhythmic gymnastics instruction. Educators are encouraged to integrate technology creatively while addressing infrastructural limitations to optimize learning outcomes.

This research focuses on identifying how PT. Pertamina Trans Kontinental Marine Dumai processes permits for loading dangerous goods in bulk liquids in the Dumai region. The process begins when the ship notifies the ship of the hazardous cargo to be loaded. Afterward, the operational team or external services department prepares application documents to be submitted to the authorized agency, namely the Dumai Harbormaster's Office. The application process requires payment of fees included in Non-Tax State Revenue (PNBP). As a national shipping company, PT. Pertamina Trans Kontinental Marine Dumai also emphasizes the importance of fostering good cooperation with relevant agencies. This action is taken as a strategic step to ensure the proper handling of dangerous goods. Complete documentation is crucial in this licensing process. Required documents include a permit application letter and a dangerous goods manifest. The completeness and accuracy of these documents are crucial for the smooth running of the permit application process, while ensuring that each stage complies with applicable regulations.

This study aims to design and develop a functionally efficient and operationally effective Internet of Things (IoT)-based air quality monitoring system for radiology departments. The system utilises a DHT22 sensor integrated with an ESP32 microcontroller to monitor the temperature and humidity of diagnostic rooms in real time, and to display the data via the UdaraKu mobile application. The research method employed a quantitative experimental approach focused on measuring system performance, specifically the accuracy of the temperature and humidity sensors. The research model used was the Research and Development (R&D) method, aimed at transforming conventional air quality monitoring in radiology into a real-time digital system based on IoT. The research results indicate that the IoT-based monitoring system is capable of maintaining room temperature and humidity stability within the ideal range, namely 22–24°C and 50–60% RH, in accordance with international standards. This improvement in environmental stability has a direct impact on reducing noise in digital radiography images, as evidenced by an increase in the Signal-to-Noise Ratio (SNR). Instrument validation demonstrated a high level of reliability with a Cronbach’s Alpha value of 0.848, reinforcing the reliability of the data and the system. Overall, the IoT-based air quality monitoring system has proven effective in controlling noise in digital radiography images, improving the quality of diagnostic services, and supporting patient safety principles and operational efficiency within radiology departments.

Background: Trigeminal neuralgia (TN) is often associated with neurovascular compression in the trigeminal nerve root entry zone, necessitating the simultaneous visualisation of nerves and blood vessels. Fusion of 3D SPACE and 3D TOF MRA images provides an integrated neurovascular view; however, not all hospitals have fusion software. This study developed a MATLAB-based image fusion method as an alternative and evaluated its equivalence to hospital-based fusion software.Methods: This study employed a descriptive quantitative research design, conducted in November 2025 at Diponegoro National Hospital and Dr Kariadi General Hospital in Semarang. A total of 16 brain MRI datasets (3D SPACE and 3D TOF MRA) were fused using hospital software and the MATLAB fusion application (MATLAB R2025b GUI). The fusion results were assessed by specialist radiologists. Diagnostic performance metrics (sensitivity, specificity, NDP, NDN, accuracy) were calculated, and paired differences were tested using the McNemar test. Intra-observer reliability was assessed using percentage agreement and Cohen’s Kappa.Results: MATLAB fusion yielded a sensitivity of 90.91%, specificity of 80.00%, NDP of 90.91%, NDN of 80.00%, and accuracy of 87.50%; the McNemar test (p=1.000) indicated no significant difference. Intra-observer reliability was very good (percent agreement 94%; Kappa 0.875). These findings indicate that MATLAB-based fusion is equivalent to hospital software fusion on the study data and has the potential to serve as an alternative in facilities without fusion software, provided that registration standardisation and user training are in place.