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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 examines the influence of work discipline, employee motivation, and work environment on employee performance at the Office of Women Empowerment, Child Protection, Population Control, and Family Planning (DP3AP2KB) of Batam City. The research applies a quantitative approach with an associative design to determine the relationship and influence among variables. Data were collected from all employees using a structured questionnaire that had been tested for validity and reliability to ensure the accuracy of the research instrument. The analysis technique used is multiple linear regression to evaluate both partial and simultaneous effects of the independent variables on employee performance. The findings indicate that work discipline, motivation, and work environment collectively contribute significantly to improving employee performance. Individually, each variable also shows a meaningful and positive effect, reflecting the importance of both internal and external factors in shaping employee outcomes and productivity. These results imply that strengthening discipline, enhancing employee motivation, and creating a supportive, comfortable, and conducive work environment are essential strategies for improving organizational performance and achieving institutional goals effectively. Therefore, organizations are encouraged to implement policies and programs that support employee development, maintain a positive work atmosphere, and improve overall work quality in a sustainable manner.

This study aims to analyze the role of assessment in decision-making within guidance and counseling services. Assessment plays a crucial role in providing accurate, objective, and comprehensive data regarding students’ characteristics, needs, and problems. This research employs a qualitative approach using a literature review method by analyzing 25 relevant scholarly sources related to assessment, measurement, and counseling services. The findings indicate that measurement serves as the fundamental basis of assessment, which involves systematic processes to obtain quantitative data. The quality of assessment results is highly influenced by the reliability and validity of the instruments used. Reliable instruments ensure consistency, while valid instruments ensure accuracy in measuring intended variables. Furthermore, assessment functions as a basis for diagnosis, planning, implementation, and evaluation of guidance and counseling services. The study also reveals that the application of assessment in schools is not yet optimal due to several factors, including limited counselor competence and lack of effective use of instruments. In addition, the integration of technology and the use of both test and non-test instruments have been shown to improve the accuracy and effectiveness of assessment. In conclusion, systematic and well-implemented assessment significantly enhances the quality of decision-making in guidance and counseling services. Therefore, improving counselors’ competencies and optimizing the use of assessment instruments are essential to support more effective counseling practices

The transition from paper-based to Computer-Based Test (CBT) in the Academic Potential Test (TPA) for state university entrance selections has significantly transformed the educational assessment landscape. This conceptual study aims to evaluate the instruments of CBT-based TPA, focusing on validity, reliability, fairness, and technological infrastructure constraints. Employing a systematic literature review approach, this research synthesizes various foundational theories of educational measurement, specifically Item Response Theory (IRT) and Computerized Adaptive Testing (CAT), alongside contemporary empirical findings from the last five years. The findings indicate that while CBT offers enhanced administrative efficiency and rapid grading, the validity of the instruments is frequently challenged by item exposure and the diverse digital literacy levels of test-takers. Furthermore, infrastructural disparities among regions pose a significant threat to testing fairness. The implication of this study suggests the urgent need for a dynamic item bank generation system and the implementation of adaptive testing to mitigate cheating and ensure equitable assessment. Future educational policies must bridge the digital divide before uniformly mandating CBT. Ultimately, this review provides a comprehensive framework for test developers to refine CBT TPA instruments, ensuring they genuinely measure academic potential rather than technological proficiency.

This study aimed to analyze the effect of using interactive PowerPoint media on the learning outcomes of eighth-grade students at SMP Negeri 3 Kabila. The study was motivated by the relatively low student learning outcomes in Social Studies, as indicated by the number of students who had not yet achieved the minimum mastery criteria, as well as the limited use of technology-based instructional media in classroom learning. This research employed a quantitative approach with a correlational design. The population and sample consisted of 50 eighth-grade students. Data were collected through questionnaires, observation, interviews, and documentation. The data were analyzed using simple linear regression after the instruments had met validity and reliability requirements and the data were normally distributed. The findings revealed that the use of interactive PowerPoint media had a positive and significant effect on student learning outcomes. This was indicated by a t-value of 6.184, which was higher than the t-table value of 2.008 at a 5 percent significance level. The correlation coefficient of 0.666 indicated a strong relationship, while the coefficient of determination of 0.443 showed that 44.3 percent of the variance in students’ learning outcomes was explained by the use of interactive PowerPoint media. Therefore, interactive PowerPoint media can be considered an effective instructional alternative to support the improvement of student learning outcomes.

This study aims to examine the effect of job stress and organizational support on employee performance at Bank Pembangunan Daerah Jambi, Sengeti Branch. This research uses a quantitative method with a survey approach. The population in this study consisted of all employees of Bank Pembangunan Daerah Jambi Sengeti Branch totaling 33 employees. Data were collected through questionnaires using a Likert scale. Data analysis was conducted using multiple linear regression analysis preceded by instrument testing (validity and reliability) and classical assumption tests including normality, multicollinearity, and heteroscedasticity tests. The results show that job stress has a positive and significant effect on employee performance with a significance value of 0.009 (< 0.05). Organizational support also has a positive and significant effect on employee performance with a significance value of 0.003 (< 0.05). Simultaneously, job stress and organizational support significantly influence employee performance with a significance value of 0.024 (< 0.05). The coefficient of determination (R²) value of 0.821 indicates that 82.1% of the variation in employee performance can be explained by job stress and organizational support variables, while the remaining 17.9% is influenced by other variables outside this study.

The development of financial technology has driven significant transformations in the non-cash payment system in Indonesia, one of which is through the use of the Quick Response Code Indonesian Standard (QRIS). The use of QRIS in civil transactions relates not only to the technical aspects of payments but also has legal implications in the civil realm, particularly regarding the application of the principle of consensualism and the status of electronic evidence in the Indonesian civil procedural law system. This study aims to analyze the application of the principle of consensualism in QRIS e-payment transactions as electronic evidence in civil procedural law. The research method used is normative legal research with a statutory and conceptual approach. The results indicate that QRIS transactions meet the principle of consensualism due to the agreement of the parties, and QRIS can be qualified as a valid electronic document as long as it meets the requirements for electronic system reliability and information integrity as stipulated in laws and regulations. However, the evidentiary power of QRIS is not perfect and requires the support of other evidence, with the final assessment resting with the judge based on the principle of independent evidence in civil procedural law.

This study aims to examine the impact of digital transformation in accounting and the effectiveness of internal control systems on the quality of financial reports in an integrated logistics services company. The method used is a quantitative approach using Structural Equation Modeling-Partial Least Squares (SEM-PLS), with data collected from 35 respondents who are involved in financial and accounting activities within the company. The analysis focuses on evaluating the relationships between digital transformation, internal control systems, and financial reporting quality. The research findings indicate that digital transformation in accounting (coefficient = 0.658; p-value = 0.000) and internal control systems (coefficient = 0.308; p-value = 0.023) have a positive and significant effect on the quality of financial reports. Furthermore, the coefficient of determination (R²) value of 0.822 shows that both independent variables are able to explain 82.2% of the variation in financial report quality, while the remaining percentage is influenced by other factors outside the model. These results confirm that the implementation of digital technology supported by an effective internal control system can significantly improve the accuracy, relevance, timeliness, and reliability of financial reporting in organizations.

This study aims to analyze the service quality of the issuance of the Job Seeker Card (AK-1) at the Department of Manpower, Cooperatives, and Small and Medium Enterprises of Gorontalo City This study focuses on the five dimensions of service quality based on the SERVQUAL model Tangibles, Reliability, Responsiveness, Assurance, and Empathy The study is conducted based on the decline in the number of job seeker card service users year over year, indicating issues with service quality This study employs a qualitative, descriptive approach Data collection techniques include observation, interview, and documentation Data analysis uses the Miles and Huberman model, which consists of data reduction, data display, and conclusion drawing. The findings show that the service quality at the Department of Manpower. Cooperatives, and Small and Medium Enterprises of Gorontalo City is generally not yet optimal In terms of tangibles, service facilities still need improvement, particularly in the comfort of service rooms In terms of empathy officers have shown concern for the community, but it is not yet consistent across all service situations Responsiveness is considered fairly good, although delays in the service process still occur In terms of reliability, services are not yet fully consistent in providing accurate, precise results Meanwhile, in terms of assurance, officers provide polite and fairly convincing services, although their competence still needs Improvement The conclusion of this study indicates that the service quality of the issuance of the Job Seeker Card at the Department of Manpower Cooperatives, Small and Medium Enterprises of Gorontalo City Still requires improvement, particularly in enhancing facilities, human resource competence and service consistency to increase public satisfaction.

This study aims to analyze the influence of workforce agility, job satisfaction, and job engagement on employee adaptive performance at PT. MMT Buana Logistik. The dynamic logistics industry requires employees who have high adaptability to technological changes and operational demands. This type of research is quantitative causality with an explanatory approach. The population in this study were all employees of PT. MMT Buana Logistik, totaling 49 people, with the sampling technique used saturated sampling (census). Data were collected through questionnaires with a 5-point Likert scale. Data analysis techniques used included instrument testing (validity and reliability), testing of classical assumptions (normality, multicollinearity, and heteroscedasticity), and multiple linear regression analysis. Hypothesis testing was carried out through t-tests (partial), F-tests (simultaneous) and coefficient of determination (R2). The results showed that workforce agility, job satisfaction, and job engagement partially and simultaneously have a positive and significant influence on employee adaptive performance. These findings imply the importance of managing work flexibility, fulfilling employee satisfaction, and increasing work engagement to build adaptive human resources to support company competitiveness in the logistics industry.  

Air transportation plays an important role in supporting mobility, tourism, and emergency activities such as medical evacuation and search and rescue (SAR). One of the essential supporting facilities for helicopter operations is a heliport, which must meet safety standards, including an adequate lighting system. This study aims to design an LED floodlight installation system for the Main Helipad of Fly Bali Heliport based on the international standard ICAO Annex 14 Volume II, while considering the corrosive coastal environmental conditions. The research method used is an engineering design approach with quantitative analysis of illumination requirements and current carrying capacity (CCC). Data were obtained through literature studies based on ICAO, FAA, and CAP 437 standards, as well as field observations. The design process includes determining the number and placement of floodlights, technical specifications, and electrical installation systems, including cable and protection selection. The results show that the configuration of four LED floodlight units is capable of producing a minimum illumination of 10 lux evenly across the TLOF and FATO areas in accordance with ICAO standards without causing glare. The use of Avlite AV-HL-FL floodlights with IP66 protection is suitable for coastal environments. The electrical installation system using NYY 2×2.5 mm² cables and a 2 Ampere MCB ensures system safety and reliability. Therefore, this design can enhance heliport operational safety and support optimal night operations.

This study aims to analyze the technical and economic impact of power evacuation work on the 20 kV distribution system at PT PLN (Persero) UP3 East Bali. The main problem studied is the high losses and poor voltage profile on the downstream side of the Kintamani feeder. The method used is load flow simulation using ETAP software with a comparative approach to conditions before and after power evacuation. The results showed that the active losses decreased from 1.017 MW to 0.626 MW (efficiency 38.45%), accompanied by an increase in the end voltage from 16.32 kV to 18.72 kV and 19.38 kV, thus meeting the SPLN 1:1995 standard. The reduction in losses resulted in energy savings of 3,425,160 kWh/year. From the economic side, a payback period (PBP) of 1.40 years was obtained, which shows that the project is financially feasible. In addition, the improvement of network performance also contributes to the reliability of the distribution system and the continuity of the distribution of electrical energy to customers. Thus, power evacuation work has been proven to be effective in improving power distribution efficiency, improving voltage quality, and providing significant economic benefits.

The current research examines the effect of the Student Teams Achievement Division (STAD) cooperative learning model on Indonesian language outcomes among sixth-grade students at SD Negeri 106805 Manunggal. Operating within a quantitative framework, this quasi-experimental research utilized a non-equivalent control group design. The sample comprised 50 students, classified into a control group (23 students) and an experimental group (27 students). Data collection involved observations, documentation, alongside pretest and posttest scores. The 10-item essayThe instrument achieved a high level of reliability, with Cronbach’s Alpha coefficients of 0.700 on the pretest and 0.807 on the posttest. Diagnostic tests confirmed the data were normal and homogeneous. The experimental group achieved a substantial learning improvement of 42.04, significantly outperforming the control group's gain of 17.39. The independent sample t-test yielded a critical significance value of 0.000 < 0.05, confirming that the STAD model exerts a significant and positive influence on student’s indonesian language achievement.

The rapid development of social media, particularly Instagram, has transformed consumers’ information-seeking behavior and purchasing decision processes, making information quality in digital catalogs a crucial factor in visual-based marketing. However, studies examining information quality in Instagram-based digital catalogs for highly customized products remain limited. This study aims to analyze the relationship between the quality of digital catalog information and purchasing decisions on the @santflowersbouquet account. A quantitative approach with a survey method was employed, involving 95 respondents selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through validity, reliability, and Spearman’s Rank correlation tests. The results indicate that information quality is categorized as high, with accuracy (92.6%) and timeliness (86.3%) as the dominant indicators. Purchasing decisions are also in the high category, with the time of purchase indicator reaching 96.8%. The correlation test shows a positive and significant relationship with a coefficient of 0.621 (p<0.001), indicating a strong association. These findings suggest that improving the quality of digital catalog information significantly contributes to enhancing purchasing decisions. Therefore, businesses are encouraged to optimize information quality as part of their digital marketing communication strategy.

This study aims to analyze the factors influencing customer satisfaction at PT JNE Cabang Latta Ambon, focusing on five dimensions of service quality according to the SERVQUAL model: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. Data were collected through a questionnaire distributed to 145 respondents using shipping services. The results of the analysis indicate that of the five dimensions, only the Empathy dimension has a positive and significant effect on customer satisfaction (β = 0.204; p = 0.048). The other variables, while showing positive effects, did not demonstrate statistical significance. The regression model developed was able to explain approximately 22.1% of the variation in customer satisfaction, emphasizing that there are other factors beyond the measured dimensions that also influence satisfaction. The F-test results show that, simultaneously, all five dimensions of service quality significantly affect customer satisfaction, supporting the SERVQUAL theory that highlights the importance of a multidimensional approach in service delivery. Practical implications of this study suggest that PT JNE Latta Ambon should focus more on enhancing empathy and responsiveness in service, while maintaining the quality of other aspects as a minimum standard. This research provides valuable insights for developing more effective customer-oriented service strategies and opens opportunities for further research in this field.

This study analyzes the effect of pastry menu innovation and breakfast service on guest satisfaction at Hotel Indigo Seminyak Bali. The increasing competition in the hospitality industry requires hotels to continuously improve service quality and guest experience. Menu innovation and breakfast service are key factors that directly influence guest satisfaction, particularly through the overall dining experience during guests’ stay. This research used a quantitative descriptive approach with data collected through questionnaires, observation, and documentation from 120 respondents selected using purposive sampling. The data were analyzed using validity and reliability tests, classical assumption tests, multiple linear regression, t-test, and F-test with SPSS version 26. The results show that menu innovation has a positive and significant effect on guest satisfaction (p < 0.05). Breakfast service also has a positive and significant effect on guest satisfaction (p < 0.05). Simultaneously, both variables significantly influence guest satisfaction (F = 41.701). Among the two variables, breakfast service is the most dominant factor affecting guest satisfaction. These findings indicate that improving menu innovation and breakfast service can enhance guest satisfaction and strengthen competitiveness in the hospitality industry.

The rapid development of digital media has increased the complexity of health information flows and triggered the spread of misinformation, thereby requiring service personnel to be prepared to manage information critically. However, studies specifically examining the relationship between digital media literacy and readiness to handle health hoaxes among non-medical frontliner staff remain limited. This study aims to analyze the relationship between digital media literacy and readiness in handling health-related hoaxes among frontliner staff at RSUD Welas Asih Bandung. A quantitative approach with a survey method was employed, involving 243 respondents selected through a census sampling technique. Data were collected using a Likert-scale questionnaire and analyzed through validity, reliability, and Spearman’s Rank correlation tests. The results indicate that digital media literacy is at a high level, with digital safety (85.2%) and digital ethics (82.3%) as dominant indicators. Readiness in handling health hoaxes is also high, with gathering (78.6%) and planning (76.1%) as the highest indicators. The correlation test shows a positive and significant relationship with a coefficient of 0.794 (p<0.001), indicating a strong association. These findings suggest that improving digital media literacy significantly contributes to enhancing readiness in handling health hoaxes. Therefore, strengthening digital literacy is an important strategy to improve communication effectiveness and healthcare service quality.

This study examines the effectiveness of Assemblr Augmented Reality (AR) in improving English vocabulary mastery among deaf students in an inclusive classroom setting. The research was conducted at SD N 2 Bengkala using a quantitative pre-experimental design with a one-group pre-test and post-test approach. The participants were Grade 5 deaf students selected through purposive sampling. Data were collected using a researcher-developed vocabulary test consisting of 15 items, which was validated through expert judgment and demonstrated high reliability (Cronbach’s Alpha = 0.815). Descriptive statistical analysis revealed a substantial improvement in students’ vocabulary scores, with the mean increasing from 45.00 in the pre-test to 76.50 in the post-test. The minimum score improved from 40 to 73, and the maximum score increased from 50 to 80. Inferential analysis using the Wilcoxon Signed-Rank Test showed a significance value of 0.180, indicating no statistical significance due to the small sample size. However, the observed improvement indicates strong practical significance. The findings suggest that Assemblr AR enhances vocabulary learning by providing visual and interactive learning experiences that support deaf students’ cognitive processing. This study highlights the potential of AR technology as an effective instructional medium in inclusive education environments.  

This study aims to examine the factors that influence consumer purchasing decisions for Nacific products in Batam City, with an emphasis on the role of digital marketing, E-WOM, and brand image. The research approach used is descriptive quantitative involving 204 respondents who have purchased Nacific products, selected through purposive sampling techniques based on Jacob Cohen's calculations to ensure the adequacy and representativeness of the sample. Data collection was carried out using a structured questionnaire, then analyzed through a series of statistical procedures including validity and reliability tests, classical assumption testing, multiple linear regression analysis, and hypothesis testing using t-tests and F-tests. The findings of the regression analysis revealed that the influence of digital marketing on purchasing decisions was recorded at 21.9%, E-WOM at 27.0%, and brand image at 34.0%. The coefficient of determination value of 0.722 confirms that digital marketing, E-WOM, and brand image simultaneously contribute 72.2% in explaining purchasing decisions. The results of the t-test and F-test indicate that digital marketing, e-WOM, and brand image each have a positive and significant influence on purchasing decisions, both partially and simultaneously.

The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.