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This study aims to analyze the effectiveness of the e-SIDAK application as a tool for recording and evaluating the performance of civil servants at BKPSDM Belitung Regency. The research employs a descriptive qualitative approach with 12 purposively selected informants, including managers, administrators, and application users. Data were collected through semi-structured interviews, observations, and documentation, and analyzed thematically using NVivo 12 Pro based on the digital service effectiveness indicators proposed by Pedrosa et al., namely ease of use, simplicity, understandability, consistency, trustworthiness, availability, speed, and usefulness. The findings indicate that the e-SIDAK application fulfills most effectiveness indicators, particularly in terms of ease of use, process simplicity, clarity of information, interface consistency, and service usefulness. The application facilitates systematic work activity recording, simplifies reporting, improves employee discipline, and supports performance monitoring integrated with the employee performance allowance system. However, its effectiveness remains limited in terms of system reliability, service availability, and access speed due to server capacity constraints, network conditions, and the accumulation of data input at the end of reporting periods. In addition, the point-based evaluation system has not fully reflected task duration, complexity, and workload. This study recommends strengthening system infrastructure, developing user guidelines, regulating input timing, and improving the point-based evaluation system to enhance digital service effectiveness in local government institutions.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

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

This study aims to identify and analyze the application of Pancasila values in the development of Indonesian tourism as a foundation for ethics and character. The method used is library research, reviewing various relevant written sources, including books, journals, articles, and other academic publications. The findings indicate that globalization exerts both positive and negative influences on Indonesian tourism, while simultaneously opening opportunities for the advancement of more ethical and responsible tourism practices. The integration of Pancasila values within the tourism sector such as mutual cooperation, environmental stewardship, social justice, and respect for cultural diversity can foster sustainable tourism development that balances economic growth with moral responsibility. Furthermore, these values contribute to strengthening national identity, preserving local wisdom, and enhancing community participation in tourism activities. The study also highlights that tourism grounded in Pancasila principles can improve social welfare by empowering local communities and promoting inclusive development. In conclusion, the application of Pancasila principles in tourism development is essential for maintaining a balance between economic progress and socio-cultural preservation, while reinforcing national character and resilience in the face of globalization and rapid global change.

This study aims to analyze various research results related to the application of context-based mathematics learning in improving students' mathematical literacy. Mathematical literacy is an important skill that enables students to understand, use, and apply mathematical concepts and reasoning in solving various problems related to real life. This study uses a qualitative approach with a literature review method. Research data was obtained through a review of various scientific articles relevant to the research topic. The analysis process was carried out in several stages, namely identification of literature sources, selection of articles based on topic suitability, and synthesis of published research findings. The results of the study show that integrating everyday contexts into mathematics learning can improve students' conceptual understanding, mathematical reasoning abilities, and problem-solving skills. Learning that links mathematical material to real-life situations can also help students understand concepts more meaningfully and encourage active engagement in the learning process. The findings of this study provide an overview that the application of mathematics learning based on everyday life contexts can be an effective strategy in improving students' mathematical literacy. Therefore, teachers need to design learning that links mathematical concepts to real-life situations so that students' mathematical literacy skills can develop optimally.

The premium healthcare industry in urban areas is experiencing increasing competition along with the increase in healthcare facilities and the increasing public demand for fast, comfortable, and quality medical services. In this context, Columbia Asia Pulomas Hospital is implementing an expansion strategy by increasing facility capacity, modernizing services, and adding a Center of Excellence (COE) as a service differentiation. This study aims to analyze customer retention strategies within the Balanced Scorecard (BSC) framework, focusing on the relationship between customer perspectives, internal processes, learning and growth, and their application to the financial perspective. The research method uses a document-based policy and strategy analysis approach, field findings, and a synthesis of Balanced Scorecard theory and patient experience.The analysis shows that customer retention during the expansion phase is influenced not only by clinical quality, but also by the assurance of doctor time in practice, speed of service, physical comfort, and digitization of queues and administration. The addition of a COE has been shown to increase the perception of service value and expand market share through service specialist differentiation. Within the BSC framework, the customer perspective serves as a leading indicator for achieving the financial perspective, where increased patient retention contributes to increased revenue, ROI growth, and long-term financial expectations. The research implications emphasize that strategies for strengthening human resources, modernizing internal processes, and service innovation are important foundations in ensuring successful hospital expansion and enhancing competitive advantage.

This community service program aimed to strengthen the capacity of economic institutions and community business groups in villages and urban areas within the OVOP program locations in East Flores Regency. The program responded to the growing need for adaptive business strategies in the digital era and the importance of developing local potential into competitive products. It was implemented through a participatory, educative, and applicative approach during September 8–12, 2025. The training methods included lectures, interactive discussions, case studies, hands-on practice, and simulations to ensure a balance between theoretical understanding and practical application. The findings indicate significant improvements in participants’ understanding of the OVOP concept, managerial competencies, financial administration, and technical skills in product processing, packaging, and labeling. In addition, participants demonstrated increased awareness and ability in applying digital marketing strategies to expand market reach. The program also fostered stronger collaboration networks among business groups, economic institutions, and local government stakeholders. High participant engagement and active involvement throughout the sessions reflect the effectiveness of the training design. Overall, this program contributes to enhancing local economic resilience and promoting sustainable, competitive, and community-based enterprises. The study highlights the importance of continuous mentoring, institutional strengthening, and policy support to sustain the long-term impact of capacity-building initiatives in rural and semi-urban areas.

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

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

Management psychology plays a crucial role in enhancing the effectiveness of educational organizational management, particularly in understanding individual behavior, work motivation, leadership, and communication within the educational environment. The dynamic development of educational institutions requires a managerial approach that focuses not only on administrative aspects but also on the psychological aspects of the human resources involved. Therefore, the study of management psychology in education is essential to understand how this approach can support improvements in educational quality. This study aims to review and synthesize various studies on the application of management psychology in educational contexts and identify emerging research trends. The research questions posed are: (1) What are the trends and focuses of research on management psychology in education? and (2) What is the role of management psychology in improving the effectiveness of educational institution management? This study is expected to provide insights into how management psychology can be applied to enhance managerial performance and quality in education.

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

The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.

Communication is an essential human right, yet a significant communication gap persists between individuals with sensory disabilities, specifically the deaf and speech-impaired, and the general public. While many technological solutions have been proposed to translate sign language, existing models primarily rely on heavy deep learning architectures such as Convolutional Neural Networks (CNN) or Recurrent Neural Networks (RNN/LSTM). These models often demand high computational power, leading to latency and limiting real-time application on standard devices. This study proposes a lightweight, fast, and highly responsive sign language translation system specifically designed to recognize static alphabets (A-Z) and single-character air writing. The system utilizes MediaPipe for hand tracking, where feature extraction is intelligently processed by calculating the relative spatial coordinates of fingertips to the wrist, reducing dependency on raw camera coordinates. Classification is performed using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel, prioritizing computational efficiency without sacrificing accuracy. To enhance user experience, the system introduces three key novelties: smart relative feature extraction, an anti-duplication hold system with a 1-second timer to prevent input spamming, and a non-blocking multithreaded audio execution (Daemon Thread) utilizing Google Text-to-Speech (gTTS), ensuring the webcam feed remains fluid during audio playback. Additionally, an alternative air-writing mode is integrated, utilizing geometric heuristics and PyTesseract OCR to read single drawn letters in the air. The results indicate that the proposed system operates swiftly and efficiently, bridging the communication barrier with a hardware-friendly approach.

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 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

Education is a fundamental element in an individual's life that aims to optimize human potential across cognitive, affective, and psychomotor domains. This research is motivated by the importance of students' ability to manage their study time effectively to support optimal learning outcomes. The purpose of this study is to describe and compare students' study time management based on gender. This study used a descriptive comparative method, with a sample of several eighth-grade students at Islamic Boarding School X. Data were collected using a Likert scale instrument, then analyzed using descriptive techniques and an independent-samples t-test using the (Jeffreys’s Amazing Statistics Program) JASP application. The results indicate that several students are able to manage their study time well. Furthermore, no significant differences were found between male and female students in managing their study time. These findings indicate that the ability to manage study time is relatively even and is not influenced by gender.

This study addresses the issue of suboptimal student academic performance, which is frequently linked to the selection of instructional strategies that do not actively engage learners. Learning outcomes represent a multidimensional construct involving knowledge acquisition, attitude development, and skill formation. Therefore, the application of an appropriate learning model is essential to support meaningful learning experiences. This research aims to investigate the impact of implementing a Problem Based Learning (PBL) model supported by audio-visual media on students’ academic achievement. A quantitative approach with a quasi-experimental design was employed. The study involved two groups: an experimental class receiving the PBL intervention and a control class experiencing conventional instruction. Data were collected through pretest and posttest assessments and analyzed using both descriptive and inferential statistical techniques. The findings reveal a statistically significant difference between the two groups, indicated by a significance value below 0.05. This confirms that integrating problem-based strategies with audio-visual support contributes positively to improving students’ learning outcomes. The results highlight the importance of student-centered learning environments in fostering deeper understanding and engagement.

Group-based learning in the classroom plays a vital role in enhancing social interaction, individual responsibility, as well as students' critical thinking and collaborative skills. However, its implementation often faces challenges such as the dominance of certain members, social loafing, low participation, and interpersonal conflicts that hinder group effectiveness. This study aims to comprehensively examine the dynamics of learning groups by integrating four key aspects: the concept of group dynamics based on the Tuckman model, the characteristics of effective groups in cooperative learning, group formation techniques, and conflict management strategies. The research utilizes a qualitative approach with a literature study method, analyzing 25 sources including nationally accredited journals, academic books, and theses published between 2020 and 2024. Data analysis was conducted through reduction, thematic classification, content analysis, and conceptual synthesis. The results indicate that effective group dynamics can be achieved through the Tuckman stages, the application of the five elements of cooperative learning, the selection of appropriate group formation techniques with risk mitigation, and the implementation of the Thomas-Kilmann conflict management styles.The scientific contribution of this research is the development of an integrative model based on these four aspects, which serves as a conceptual framework to strengthen collaborative learning practices in the classroom. Practical implications include the formation of ideal groups consisting of 4–5 students, the establishment of initial group contracts, the use of dual assessment rubrics (individual and group), and peer evaluation mechanisms to enhance accountability and reflection.

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.

Intellectual property rights (IPR) are an important legal tool for trademark ownership, protecting business quality, and protecting a company's economic interests. Consumers build trust in trademarks because they signal distinct product quality and reflect a positive and consistent corporate image. Trademark protection is regulated by national law under Trademark Law No. 20 of 2016, which provides legal certainty for trademark owners. This law stipulates that a trademark is only valid if it has distinctive elements, is not imitative, and has been officially registered with an authorized institution. The "first come, first served" principle in Indonesian trademark law can be interpreted as a mechanism that grants rights to the first party to file a valid application. However, the application of this principle in practice often raises complex legal issues, particularly when a trademark has already gained widespread public recognition prior to its formal registration. This study focuses on evaluating this legal protection through a normative legal research method by examining applicable laws, regulations, and court decisions related to trademark disputes in Indonesia. The Geprek Bensu dispute has attracted public attention because it highlights the conflict between legal provisions regarding trademark ownership and public perception. This case demonstrates that the existing legal framework still requires further refinement to balance the interests of trademark registrants with those of parties who have built public reputation through prior commercial use. Therefore, legal reform and consistent law enforcement are essential to ensure fair and comprehensive trademark protection in Indonesia.