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This study aims to analyze the effect of information technology (IT)-based learning media on improving students' academic performance. With the advancement of digital technology, the use of IT-based media such as interactive presentations, educational videos, Learning Management Systems (LMS), and online quiz applications has become part of modern teaching strategies. This study uses a quantitative approach with a quasi-experimental method. The subjects of the study were secondary school students divided into experimental and control groups. The instruments used include learning achievement tests to measure academic performance and observation sheets to assess the implementation of IT media usage. Data were analyzed using t-tests and simple regression analysis. The results show a significant difference in academic performance between students who used IT-based learning media and those who used conventional methods. The experimental group showed a higher average score compared to the control group. These findings indicate that the use of IT-based learning media, when planned and implemented systematically, can improve students' motivation, engagement, and understanding of learning materials. Therefore, the integration of information technology into the learning process is recommended as an innovative strategy to enhance the quality of education.

This study aims to provide a comprehensive analysis of Predictive Policing and its implications for law enforcement transformation in Indonesia, based on an extensive review of its global applications, benefits, and challenges. The study uses qualitative literature and international case study review methods to assess the impact and complexity of implementing digital technologies such as artificial intelligence (AI), machine learning, and big data analytics within a Predictive Policing framework. The results of this review highlight that while Predictive Policing offers significant potential for proactive crime prevention and increased operational efficiency, its implementation is consistently fraught with critical legal, ethical, and technical challenges, including regulatory gaps, risks of algorithmic bias, and data privacy concerns, which are particularly relevant to Indonesia. The findings underscore that public trust and police legitimacy in the context of adopting such technologies are strongly influenced by transparency, strong accountability mechanisms, and community involvement in shaping their use. This study contributes to the growing discourse on digital policing in developing countries and culminates in practical policy recommendations designed to guide the Indonesian police towards the development and implementation of Predictive Policing models that are effective, efficient, and fundamentally respectful of legal and human rights principles.

Evidence is a fundamental element in the legal proof process that serves as the basis for judges to examine, assess, and decide cases in court. Along with the advancement of information technology, the form of evidence has evolved, including digital evidence such as screenshots of conversations through digital communication applications like WhatsApp. This study aims to analyze the legal position and evidentiary value of digital conversation screenshots within the Indonesian legal system. The research method uses a normative juridical approach by examining laws and regulations, legal doctrines, and relevant court decisions. The results indicate that screenshots of conversations have legal recognition as electronic evidence; however, their evidentiary strength is limited and requires support from other forms of evidence. Judges apply the principle of Unus Testis Nullus Testis, meaning that screenshots cannot stand alone as sole evidence and must be supported by additional legal proof to fulfill the requirements of valid, complete, and convincing legal evidence.

Prompt injection has emerged as a critical security threat for Large Language Models (LLMs), exploiting their inability to separate instructions from data within application contexts reliably. This paper provides a structured review of current attack vectors, including direct and indirect prompt injection, and highlights the limitations of existing defenses, with particular attention to the fragility of Known-Answer Detection (KAD) against adaptive attacks such as DataFlip. To address these gaps, we propose a novel, hybrid, multi-layered detection framework that operates in real-time. The architecture integrates heuristic pre-filtering for rapid elimination of obvious threats, semantic analysis using fine-tuned transformer embeddings for detecting obfuscated prompts, and behavioral pattern recognition to capture subtle manipulations that evade earlier layers. Our hybrid model achieved an accuracy of 0.974, precision of 1.000, recall of 0.950, and an F1 score of 0.974, indicating strong and balanced detection performance. Unlike prior siloed defenses, the framework proposes coverage across input, semantic, and behavioral dimensions. This layered approach offers a resilient and practical defense, advancing the state of security for LLM-integrated applications.

This study examines the juridical aspects of guardianship applications by parents to obtain permission to sell a minor’s inherited land and analyzes the judicial considerations in Decision Number 199/Pdt.P/2025/PN Blt. The research employs an empirical juridical method with a sociological legal approach. Primary data were collected through interviews and case documents at the Blitar District Court, while secondary data consist of statutes, doctrine, and related literature. Qualitative-descriptive analysis was applied to interpret the findings. The study reveals that the guardianship application process involves both administrative and judicial stages. Judges scrutinize material evidence and the probity of sale objectives, weighing important principles such as utility, legal certainty, fairness, and justice. Guardians are granted limited authority to sell a minor’s property only if it can be proven to be in the child's best interest and legal protections are assured. Recommendations include strengthening post-decision monitoring, enhancing legal outreach, improving procedural transparency, and ensuring comprehensive implementation.

This research investigates thermal material properties and performance characteristics for high-speed vessel components subjected to extreme thermal stress during sustained high-speed operations. High-speed vessels including patrol boats, fast ferries, and naval craft experience elevated thermal loads from high-power density propulsion systems, aerodynamic heating, and sustained operational intensities creating demanding conditions for structural and mechanical components. Through qualitative analysis involving naval architects, materials engineers, high-speed vessel operators, and component manufacturers, this study examines how material thermal properties affect component durability, performance, and safety while identifying optimal material selections for critical applications. Results demonstrate that advanced thermal materials including high-temperature aluminum alloys, titanium alloys, ceramic composites, and thermal barrier coatings can extend component service life by 40-70%, improve thermal management effectiveness by 25-45%, and enhance operational reliability compared to conventional materials. Key implementation challenges include material cost premiums of 150-300%, manufacturing complexity, limited operating experience, qualification testing requirements, and supply chain constraints. Findings reveal that strategic thermal material selection for critical components represents essential enabling technology for high-speed vessel performance, reliability, and operational availability supporting defense, commercial, and emergency response applications requiring sustained high-speed capabilities. This research contributes to marine materials engineering literature by providing evidence-based frameworks for thermal material selection applicable to diverse high-speed vessel applications.

This study aims to analyze the performance of Android-based attendance applications used at PT PLN ULP West Sumba by integrating two evaluation methods, namely WebQual 4.0 and Importance Performance Analysis (IPA). This attendance application functions to monitor employee attendance digitally so that it is expected to be able to improve the efficiency and accuracy of data recording. Evaluations are conducted to assess the extent to which the application meets the needs of users as well as the expected performance. WebQual 4.0 is used to measure the quality of user experience in terms of ease of access, interactivity, trust, and satisfaction, while IPA is used to compare the level of user interest with application performance based on four main attributes: system quality, information quality, service quality, and usage quality. The research data was collected through a survey with questionnaires compiled according to WebQual 4.0 and IPA indicators, involving application users at PT PLN ULP West Sumba. The results show that the majority of users are satisfied with the ease of use and performance of the application, but there are aspects that need to be improved, especially the speed of the system and a more user-friendly interface design. The science analysis emphasizes that the quality of systems and information is a crucial factor that must be a priority for development. This research provides strategic recommendations for PT PLN ULP West Sumba to improve the performance of the attendance application and support the company's operational needs in a sustainable manner.

The development of automation and robotics technology has driven innovation in various industrial fields, particularly in automatic sorting systems. Manual sorting processes often lead to inefficiencies and human errors, creating the need for an automatic, fast, and accurate system. This research employs a qualitative method which includes experimentation, testing, and system documentation. The system is designed as a robotic arm for sorting objects based on color, utilizing a TCS3200 color sensor and an ESP32 microcontroller. An ultrasonic sensor detects the presence of objects, while the sorting results are displayed through a real-time web monitoring system. The test results show that the prototype successfully sorts four primary colors (red, green, blue, and yellow) with a high level of accuracy. This research is expected to serve as a reference for the development of automation systems and robotics learning tools in both educational and industrial applications. In addition, this research also contributes to the development of technology that can increase efficiency and accuracy in industrial production processes and provide more environmentally friendly solutions by reducing the need for manual labor.

In the modern era, embedded systems and the Internet of Things (IoT) are experiencing rapid and continuous development, with their usage projected to match or even exceed the number of IoT devices globally. This technological transformation has influenced various sectors, including education, which must adapt to current digital advancements. Therefore, it is important for educational institutions to integrate embedded systems and IoT concepts into their curricula to ensure that learning remains relevant to industrial and technological demands. Improving the competence and technological literacy of students and lecturers in the fields of embedded systems and IoT, particularly for smart control applications, is expected to strengthen academic capabilities and practical skills. Through this development, higher education institutions can encourage innovation and the application of technology-based solutions in solving real-world problems. Furthermore, this effort supports the implementation of the Tri Dharma of Higher Education, especially in the areas of education and research, by promoting applied research projects and collaborative learning activities based on embedded systems and IoT technologies.

In the modern era, embedded systems and the Internet of Things (IoT) are experiencing rapid and continuous development, with their usage projected to match or even exceed the number of IoT devices globally. This technological transformation has influenced various sectors, including education, which must adapt to current digital advancements. Therefore, it is important for educational institutions to integrate embedded systems and IoT concepts into their curricula to ensure that learning remains relevant to industrial and technological demands. Improving the competence and technological literacy of students and lecturers in the fields of embedded systems and IoT, particularly for smart control applications, is expected to strengthen academic capabilities and practical skills. Through this development, higher education institutions can encourage innovation and the application of technology-based solutions in solving real-world problems. Furthermore, this effort supports the implementation of the Tri Dharma of Higher Education, especially in the areas of education and research, by promoting applied research projects and collaborative learning activities based on embedded systems and IoT technologies.

Objective: Autoimmune diseases are complex disorders that arise when the immune system loses tolerance to self-antigens, leading to chronic inflammation and tissue damage. To understand disease pathogenesis and to evaluate therapeutic efficacy, animal models are widely used in autoimmune research. This review aims to analyze various types of animal models employed in studies of autoimmune diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), type 1 diabetes mellitus (T1DM), and multiple sclerosis (MS), with a particular focus on reproducibility and clinical applicability. Methods: This study was conducted through the selection and analysis of scientific literature published over the last ten years (2015–2025), using specific keywords including “clinical application,” “autoimmunity,” “animal models,” “humanized mice,” “lupus,” “rheumatoid arthritis,” “reproducibility,” and “translational research.” Literature searches were performed in major databases such as Google Scholar, PubMed, ScienceDirect, and Scopus. Results: Spontaneous models, such as NOD and MRL/lpr mice, exhibit close resemblance to human disease pathogenesis but are influenced by strain variability and environmental factors. Induced models, including collagen-induced arthritis (CIA) and experimental autoimmune encephalomyelitis (EAE), allow greater control over disease onset but do not fully capture the clinical complexity observed in humans. Humanized models demonstrate high translational relevance; however, their use is constrained by high costs and technical limitations. Conclusion: No single animal model is universally ideal for studying autoimmune diseases. Model selection should be based on biological relevance, reproducibility of outcomes, and the potential for clinical translation in autoimmune disease research.

This study investigates biomass-derived surface engineering of AISI 1020 steel for electromedical applications using galam wood charcoal and chicken bone waste as carburizing media. Surface modification is required to improve the mechanical performance of low-carbon steel, particularly in applications that demand high wear resistance and long-term durability. A pack carburizing approach was applied using various ratios of biomass-derived media at a treatment temperature of 800 °C for 2 hours. Chemical composition was analyzed using Optical Emission Spectroscopy (OES), surface hardness was evaluated using Micro Vickers hardness testing, and microstructural characteristics were observed using optical microscopy. The results show a significant increase in surface carbon content with increasing fractions of chicken bone powder, indicating its effectiveness as a carbon donor and diffusion promoter. The surface hardness increased from approximately 150 HV in the untreated condition to a maximum of about 860 HV in the treated specimen. Microstructural observations revealed the formation of a distinct carburized layer with increasing thickness and uniformity, consistent with enhanced carbon diffusion and surface strengthening. These findings demonstrate that biomass-derived surface engineering provides an effective and sustainable approach for improving the surface properties of low-carbon steel. The proposed method offers strong potential for environmentally friendly manufacturing of durable and reliable electromedical components.

The aim of the research is to find out the process of developing knowledge learning media based on Android applications.Learning media is very much needed as a tool used in practical learning.Changes in educational progress require innovation in learning media to keep them up to dat and able to overcome new problems that arise. The research method used is the R & D research and development method with the 4D model. The stages of the 4D development model are 1) Definition; 2) Design; 3) Development; 4) Distribution. This research produces android-based textile knowledge learning media. The software used is iSpring Suite Toolkit Authoring based on Power Point; and Website 2 APK Builder.The iSpring Suit software is used in the design and development of learning media, while the Website 2 APK Builder software is used to change Android application programs. Based on the results of the learning media feasibility questionnaire, it can be seen that the textile knowledge learning media is very feasible to use, reaching 90%.

The legal counseling activity on the technical aspects of preventing and reporting Ilegal online lending in Ngawen Village, Muntilan District, was motivated by the increasing number of Ilegal online lending cases that harm the community due to low legal and digital literacy. Rural communities often become victims because they do not understand the differences between legal and Ilegal loans and are unaware of the proper reporting mechanisms. This activity aims to provide residents with legal understanding regarding online lending regulations, improve digital literacy so that the community can identify Ilegal applications, and train residents to be courageous and capable of reporting Ilegal online lending practices to the relevant authorities. The implementation methods included socialization through interactive lectures, distribution of handout materials, and question-and-answer sessions. The activity was attended by 15 residents of Ngawen Village and featured two presenters from the Faculty of Law, Universitas Muhammadiyah Magelang. The results showed an increase in participants’ understanding of the characteristics of Ilegal online lending, its socio-economic impacts, and the reporting procedures to the Financial Services Authority (OJK), the Ministry of Communication and Informatics (Kominfo), and the police. Participants also gained a better understanding of the importance of protecting personal data and verifying the legality of financial applications before using them. In conclusion, this counseling activity successfully enhanced the community’s legal awareness and digital literacy, fostering a more vigilant and legally empowered society capable of protecting itself from Ilegal online lending practices in the digital era.

The legal counseling activity on the technical aspects of preventing and reporting Ilegal online lending in Ngawen Village, Muntilan District, was motivated by the increasing number of Ilegal online lending cases that harm the community due to low legal and digital literacy. Rural communities often become victims because they do not understand the differences between legal and Ilegal loans and are unaware of the proper reporting mechanisms. This activity aims to provide residents with legal understanding regarding online lending regulations, improve digital literacy so that the community can identify Ilegal applications, and train residents to be courageous and capable of reporting Ilegal online lending practices to the relevant authorities. The implementation methods included socialization through interactive lectures, distribution of handout materials, and question-and-answer sessions. The activity was attended by 15 residents of Ngawen Village and featured two presenters from the Faculty of Law, Universitas Muhammadiyah Magelang. The results showed an increase in participants’ understanding of the characteristics of Ilegal online lending, its socio-economic impacts, and the reporting procedures to the Financial Services Authority (OJK), the Ministry of Communication and Informatics (Kominfo), and the police. Participants also gained a better understanding of the importance of protecting personal data and verifying the legality of financial applications before using them. In conclusion, this counseling activity successfully enhanced the community’s legal awareness and digital literacy, fostering a more vigilant and legally empowered society capable of protecting itself from Ilegal online lending practices in the digital era.

This research aims to design and build a web-based interactive photo booth application with layout, filter, and frame features using object-oriented programming concepts. The application was developed as an alternative solution to digital photo booths that can be accessed directly through a web browser without the need for additional installation. The system development method used is the Waterfall method which includes the stages of needs analysis, system design, implementation, and testing. The technology used in application development includes HTML, CSS, JavaScript, and the use of Web APIs to access the device's camera and process images in real-time. The results of the study show that this web-based photo booth application is able to run well on modern browsers, providing photo capture features, layout settings, filter application, and interactive frame addition. The implementation of object-oriented programming results in a more modular code structure, is easy to understand, and facilitates the development and maintenance of future systems. Thus, the developed application can become a practical, flexible, and easy-to-use digital photography medium.

Advances in financial technology require people to have adequate digital financial literacy in order to be able to use financial services safely and wisely. However, there are still many community groups that face limited understanding, including the wife of a retired National Police officer in Megamendung, Bogor. This Community Service Program (PKM) is designed to increase their knowledge, awareness, and skills in managing finances through digital services. The implementation method includes socialization, counseling, interactive discussions, and practical guidance in the use of digital financial applications such as e-wallets and online banking services. Evaluation of activities was carried out through observation, question and answer sessions, and measurement of the level of understanding before and after socialization. The results showed a significant increase in participants' understanding of the concept of digital financial literacy, including benefits and risks to watch out for, such as digital fraud and irregular financial management. In addition, participants also experienced an increase in confidence in using digital financial services for daily needs. This program is expected to encourage family financial independence and improve the economic welfare of the wives of retired POLRI officers in Megamendung, Bogor, as well as become a model for community empowerment in facing the challenges of the digital era.

This research aims to identify both the partial and simultaneous positive and significant effects of e-service quality, e-trust, and brand image on the customer loyalty of Byond by BSI users in Balikpapan City. The study adopts a quantitative correlational method. A total of 100 respondents were selected using a purposive sampling technique. Data were collected through online questionnaires distributed via a Google Form link. The analytical procedures utilized include correlational analysis, instrument tests, classical assumption tests, multiple linear regression analysis, and hypothesis testing using IBM SPSS Statistics version 24. The results of the study indicate that, partially, e-service quality and e-trust variables each have a positive and significant effect on customer loyalty among users of the Byond by BSI application in Balikpapan City. Meanwhile, brand image variable has a positive but not significant effect on customer loyalty among users of the Byond by BSI application in Balikpapan City. Furthermore, when examined simultaneously, the three variables collectively show a positive and significant effect on customer loyalty of Byond by BSI applications users in Balikpapan City.

This study aims to analyze the innovation of the use of e-SDM Applications in improving the quality of digital employee data management at the Surabaya City Human Resources Development Agency (BKPSDM). This study uses a qualitative approach with a case study method through data collection techniques such as in-depth interviews, direct observation, and supporting documentation. The research analysis refers to the success factor model of e-Government innovation according to Maulidhia J.P., which includes aspects of leadership, stakeholders, resources, technology and information, processes, goals and values, and laws and regulations. The results of the study indicate that the implementation of e-SDM Applications can improve work efficiency, data accuracy, transparency, and ease of access to employee information through an integrated digital system. This success is supported by leadership commitment, collaboration between stakeholders, and the availability of adequate resources. However, this study also found several challenges, including technical system and network constraints, the need to increase human resource capacity, and the need for continuous regulatory and SOP updates. Overall, e-SDM innovations have made a positive contribution to improving the quality of employee data management in government environments.

Personal financial management behavior has gained prominence amid economic globalization, digital transformation, and crisis-induced shifts that reshape individual decision-making, budgeting, saving, and risk practices. This study conducts a comprehensive bibliometric analysis to chart the intellectual structure, growth patterns, and future orientations of research in this domain. Drawing on 312 English-language publications from the Scopus database spanning 2000 to 2024, the analysis employs VOSviewer for co-authorship, keyword co-occurrence, and co-citation mapping, complemented by performance metrics on trends and productivity. Findings reveal a marked acceleration in scholarly output, particularly after 2020, driven by heightened attention to digital tools and resilience factors. Thematic clusters highlight progression from foundational literacy and demographic influences to psychological mediators (e.g., self-efficacy, attitudes) and outcomes centered on well-being and socialization. Geographic contributions concentrate in the United States and Indonesia, with strong Asia-Pacific networks, while productive authors form specialized collaborative hubs. The intellectual base integrates behavioral frameworks with empirical applications, underscoring interdisciplinary depth. These insights address fragmentation in prior work by providing a unified knowledge map, revealing gaps in cross-cultural integration and dynamic digital modeling. Implications extend to guiding targeted interventions for financial education and policy, fostering individual resilience in volatile environments. This synthesis supports scholars and practitioners in advancing evidence-based approaches to sustainable personal finance practices.