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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

Inventory management is a crucial aspect of business sustainability, particularly for Micro, Small, and Medium Enterprises (MSMEs) that often face limitations in data management and technological adoption. Selaras Muba Lestari is Incubation Center, which supports MSMEs in Musi Banyuasin Regency, encounters challenges in managing product inventory due to reliance on manual recording systems. This study aims to design and develop a web-based inventory application using the Laravel framework to improve the efficiency and accuracy of stock management. The research adopts the Software Development Life Cycle (SDLC) Waterfall model, which includes requirements analysis, system design, implementation, and testing. The results indicate that the developed system is capable of improving data accuracy, accelerating the recording process, and providing real-time inventory reports. Furthermore, this study reinforces previous findings that digitalizing inventory systems serves as a strategic solution to enhance the competitiveness of MSMEs.

This study examines the influence of technology utilization, records management, infrastructure, and training on employee performance at the Regional Financial and Asset Management Agency (BPKAD) of Batam City. A quantitative approach with an associative design was employed to identify relationships between variables and measure their effects. The study involved 89 employees as respondents using a saturated sampling method to ensure all members of the population were included. Data were collected through structured questionnaires and analyzed using multiple linear regression along with F-test and t-test to assess both simultaneous and partial effects. The findings reveal that all independent variables simultaneously have a significant impact on employee performance, while individually technology, records management, infrastructure, and training also demonstrate significant positive effects. These results indicate that the effective use of digital systems, well-organized archival practices, adequate and supportive facilities, and continuous training programs play a crucial role in enhancing employee performance and productivity, as well as improving efficiency, accuracy, and overall organizational effectiveness. The study suggests that organizations should strengthen technological implementation, improve document management systems, provide sufficient work facilities, and conduct sustainable training programs to achieve optimal and long-term organizational outcomes.

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 analyzes the urgency of synergy between the conceptual foundations of student management and strategic planning in the educational environment as an effort to optimize the potential of students. This research uses a descriptive qualitative approach through literature study, with secondary data obtained from journal articles, books, and related literature. This study reveals that the success of student management does not only depend on mastery of the theory of educational service principles, but is also largely determined by the accuracy of planning steps, including needs analysis, recruitment, orientation, and student distribution systems. The results of the study show that the alignment between philosophical foundations and systematic managerial procedures is a crucial factor in creating a positive learning ecosystem and supporting the effective achievement of national educational goals. Through this integration, the policies implemented by educational institutions will be more representative in ensuring the comprehensive development of students' interests and talents.

The Qiroati method is an instructional approach to reading the Qur’an that emphasizes direct practice of tartil recitation in accordance with the rules of tajwid. This method is practical, systematic, and implemented gradually, meaning that learners are not allowed to proceed to the next level before achieving fluency at the current stage. One of the main challenges in learning to read and memorize the Qur’an is the limited use of structured teaching methods, as some teachers still rely primarily on personal experience and conventional reading approaches. This condition contributes to students’ lack of fluency in reading and memorizing the Qur’an, as well as decreased learning motivation due to monotonous and less effective instructional practices. This study aims to examine the implementation of the Qiroati method in improving students’ Qur’anic reading ability within the Tahfidzul Qur’an program at SMP Daruttaqwa Full Day School. The findings are expected to provide useful insights for educators and contribute to academic knowledge. This research employs a field research design with a descriptive qualitative approach, focusing on describing the application of the Qiroati method in enhancing students’ reading ability in relation to Qur’an memorization. Data were collected through interviews, tests, and documentation, while data analysis involved data collection, data display, and conclusion drawing. The results indicate that the implementation of the Qiroati method effectively improves students’ ability to read the Qur’an in the Tahfidzul Qur’an program. This is evidenced by the improvement in students’ reading scores compared to their previous performance. In practice, the method involves teachers modeling correct recitation, followed by students reading collectively. Therefore, the Qiroati method not only enhances students’ accuracy in reading the Qur’an but also fosters a more engaging and effective learning environment.

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.

The coal mining industry requires accurate stockpile volume measurements for inventory and production reporting. Conventional methods have limitations in accuracy, efficiency, and safety. This study compares the accuracy and efficiency of coal stockpile volume measurements using a Terrestrial Laser Scanner (TLS) Leica MS60 and an Unmanned Aerial Vehicle (UAV) DJI Matrice 4E, validated by the ASTM D6172-98 standard. Conducted on five Run of Mine (ROM) coal stockpiles covering 13,500 m² at PT XYZ, Lahat, South Sumatra, the TLS method used 43 scan positions, while the UAV employed 430 aerial images with specific flight parameters. Data were processed using Leica Infinity, Surpac, and Agisoft Metashape. The results showed volumes of 94,076 m³ (TLS) and 94,965 m³ (UAV), with a difference of 889 m³ (0.95%). Volume deviations ranged from 0.48% to 1.89%, with an average of 1.42%, all within the ASTM tolerance (<2%). Time efficiency analysis revealed that the UAV method required 200 minutes (3.33 hours), saving 63.3% (approximately 6.17 hours) compared to the TLS method (570 minutes). The largest efficiency gain occurred during field data acquisition, with an 85% reduction in time. This study confirms UAV photogrammetry as a valid, accurate, and efficient alternative for coal stockpile volume measurement in mining.

This research aims to design and develop a prototype wave power plant that utilizes the vertical motion of a buoy as a source of mechanical energy, which is then converted into electrical energy using a recoil starter mechanism. The system is designed to be installed at the stern of a prototype ship. The vertical movement of the buoy caused by ocean waves is transmitted to the recoil starter through a drive rope, producing a stable one-way rotational motion. This rotation is further transmitted to a gearbox to increase rotational speed before driving a DC generator. The electrical energy generated is stored in a 12 VDC battery, supported by a buck–booster converter to stabilize the output voltage. This study employs an experimental engineering approach to evaluate system performance based on empirical test data. The main components of the system include a buoy as a wave energy collector, a recoil starter as the initial rotating mechanism, a DC generator as the electrical energy producer, a buck–booster converter as a voltage regulator, a 12 VDC battery as an energy storage unit, and a monitoring system based on an ESP32 microcontroller integrated with a PZEM-017 sensor. Experimental results show that the recoil starter operates effectively in driving the generator under both no- load and buoy-loaded conditions. Increases in generator rotational speed are directly proportional to increases in output voltage and current. The PZEM-017 sensor demonstrates a high level of measurement accuracy, approaching 100% when compared with a multimeter. Overall, the proposed wave power generation system functions reliably and shows potential for further development as a small-scale alternative renewable energy source.

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.

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

The purpose of this study is to examine the influence of ethics, auditor experience, and audit situations on the accuracy of giving audit opinion issued by public accountants in South Jakarta. The population in this study consists of auditors working at public accounting firms, particularly those located in South Jakarta. The sample used includes 42 respondents, selected using a purposive sampling method. The data source in this study was obtained through a data collection technique in the form of a questionnaire. This research employs multiple linear regression analysis. The analysis result from public accounting firms in South Jakarta indicate that the audit situation has a significant influence on the accuracy of giving audit opinion. Meanwhile, ethics and auditor experience has no significant influence on the accuracy of giving audit opinion.

Coal stockpile volume measurement is an essential part of mining production control. This study aims to evaluate the calculation of coal stockpile volume using a Total Station (TS) at PT. Bukit Baiduri Energi, Kutai Kartanegara Regency, East Kalimantan Province, and to assess the accuracy and effectiveness of this method in operational activities. Data acquisition was carried out through direct field measurements using a Total Station with a detailed surface point survey method. The collected data were processed using Minescape 5.7 software to generate a triangulated surface model, and the volume was calculated using the Cut and Fill method. The results show that the Total Station method produced a stockpile volume of 21,069.15 m³ with a high level of accuracy due to direct field measurement. This method provides advantages in elevation data accuracy; however, it requires relatively more time and manpower during the data acquisition process. Based on these findings, the use of Total Station is recommended for stockpile volume calculations that require high accuracy, particularly for production evaluation and coal reserve reporting.

Digital transformation in the public sector encourages civil servants to utilize technology not only for administrative purposes but also to improve efficiency, accuracy, and work performance. This study examines the influence of Intelligent Learning-Based Training and Digital Training Components on the Digital Productivity of civil servants at the Bureau of Economic Affairs of the Regional Secretariat of Lampung Province, with Adaptive Competence serving as a mediating variable. A quantitative approach with a non-experimental survey design was applied, and data were collected through structured questionnaires distributed to employees engaged in digital-based work activities. The data were analyzed using structural model testing procedures. The findings reveal that Intelligent Learning-Based Training does not significantly influence Adaptive Competence or Digital Productivity. Conversely, Digital Training Components positively and significantly affect both Adaptive Competence and Digital Productivity. Adaptive Competence also has a positive impact on Digital Productivity and mediates the relationship between Digital Training Components and Digital Productivity. However, Adaptive Competence does not mediate the relationship between Intelligent Learning-Based Training and Digital Productivity. These results indicate that civil servants’ digital productivity is more effectively improved through practical, relevant, accessible, and well-evaluated digital training programs than through intelligent learning systems alone. Therefore, public institutions are encouraged to develop digital training initiatives that align with employees’ daily work demands while strengthening their adaptive competence in responding to technological changes.

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.

Digitalization in the healthcare sector is a strategic step to enhance efficiency, accuracy, and service quality. One of the key innovations gaining significant attention is the use of Electronic Medical Records (EMR). Purpose: This study aims to analyze nurse competence, social influence, and usability on actual use electronic medical record with perceived ease of use as intervening variable at Satya Negara Hospital. Methods: The research method used a quantitative approach with a cross-sectional design, involving 108 nurses as respondents selected through a saturated sampling technique. Data were collected using a questionnaire and analyzed using a Structural Equation Model (SEM) based on Partial Least Squares (PLS). Findings: The results indicate that nurse competence, social influence, and usability significantly affect the actual use of EMR. Additionally, perceived ease of use mediates these relationships, enhancing the adoption and utilization of EMR systems. Implications: The managerial implications of this study include the need to enhance nurse competency training, strengthen social support in the workplace, and improve the usability of the Electronic Medical Records (EMR) system to encourage more optimal use. This study also contributes to the development of literature on health information technology implementation by integrating human, social, and technical factors into the analytical model.

Although cryptographic security is often the main concern in e-voting system development, practical implementation failures are frequently associated with poor user interfaces that increase cognitive load and voting errors. This study evaluates the effectiveness of User-Centered Design (UCD) interventions in improving usability and voter confidence in an e-voting system. A one-group pretest-posttest design was applied to 36 respondents representing novice voters. Usability was measured using the System Usability Scale (SUS) before and after the interface redesign. The intervention focused on visual hierarchy, navigation consistency, status visibility, and error prevention. The results show a statistically significant improvement, with the mean SUS score increasing from 69.10 in the marginal category to 95.76 in the excellent category. The paired sample t-test produced t(35) = -7.3441 with p < 0.0001, while Cohen's d reached 1.2130, indicating a large practical effect. The standard deviation also decreased from 21.98 to 3.09, demonstrating a more consistent user experience. These findings indicate that interface optimization is essential for strengthening accessibility, voting accuracy, and user trust in digital democracy systems.

This research focuses on the creation and implementation of a web-based Geographic Information System (GIS) to map the position of Automated Teller Machines (ATMs) in Wonomulyo District, Polewali Mandar Regency. The rationale behind this research is rooted in the rapid economic and demographic development in the area, which requires easy access to financial services. However, the distribution of existing ATM points is still uneven, where people in rural areas often have to travel long distances to reach the nearest ATM. The method of creating this system involves the use of the PHP programming language along with a MySQL database. This system aims to present spatial information about the current ATM location accurately, thereby helping the public in finding banking services with high accuracy through an interactive map interface. In addition, this system offers optimal paths to ATM locations to improve user time efficiency. System evaluation was conducted using black box techniques to verify that the menu operations and application procedures function as intended. The findings indicate that the implementation of GIS improves public access while offering data assistance for financial institutions and local governments in developing a more equitable and systematic public facility allocation strategy in the future.

This research aims to analyze the effectiveness of the implementation of the staple food assistance program in Tapadaka Satu Village, Dumoga Tenggara Sub-district, Bolaang Mongondow Regency, Sulawesi Utara Province. The main sub-focus of this research includes five aspects of effectiveness measurement proposed by Sutrisno (2018), namely: (1) program understanding, (2) target accuracy, (3) timeliness, (4) achievement of objectives, and (5) real change. This research employs a qualitative, descriptive research approach. Data collection techniques include interviews, observation, and documentation. The results indicate that the implementation of the staple food assistance program in Tapadaka Satu Village has not been fully effective. In terms of program understanding, socialization has been conducted by the Social Affairs Office and village government, but some beneficiary families still do not fully understand the program’s mechanisms, rights, and obligations. In target accuracy, discrepancies in beneficiary data persist due to changing socio-economic conditions and the suboptimal updating of DTSEN data. In timeliness, assistance distribution generally follows the mechanism, but delays in fund disbursement still occur. In achieving objectives, the program helps reduce beneficiary families’ food expenditure burden, although delays affect results. Lastly, real change remains limited, short-term, and has not significantly improved community welfare.