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Gorontalo Province possesses significant mineral resource potential, particularly gold, silver, and copper, positioning the mining sector as a key driver of regional economic growth. However, a shortage of skilled local labor and the scarcity of vocational educational institutions in the mining field severely hamper human resource development in this sector. This study aims to design a Mining Polytechnic Campus in Gorontalo by applying sustainable architecture principles, encompassing energy efficiency, environmentally friendly materials, sound wastewater management, and user comfort. The research approach involves literature studies, field observations, interviews with relevant stakeholders, and quantitative data analysis regarding resource potential, the number of senior high school students, and educational space requirements. The design results emphasize site arrangement, building mass configuration, utility systems, and interior and exterior spaces that support academic, social, and community activities. The application of sustainable architecture principles is expected to create a campus that not only meets the needs of mining vocational education but also contributes to environmental conservation and sustainable regional development.

This research aims to analyze the implications of the transition in lease accounting standards to PSAK 73 on tax efficiency levels and net income structures within the retail industry, focusing on PT Mitra Adiperkasa Tbk as case studies. Employing a descriptive quantitative method, this research compares financial statement data from the 2017-2024 period to evaluate shifts before and after the regulation's enforcement. The results reveal that the implementation of PSAK 73 successfully improved corporate tax efficiency, characterized by a decrease in the Effective Tax Rate (ETR) below the statutory corporate tax rate. This was achieved by leveraging temporary differences that resulted in the recognition of deferred tax assets, providing a strategic advantage in the form of tax deferral. On the other hand, the application of this standard caused significant pressure on net profit during the initial transition phase due to the front-loading expense pattern derived from right-of-use asset depreciation and lease liability interest.

This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven manner. The research adopts a descriptive quantitative method using surveys and system testing with 50 respondents. Results indicate that the application functions as designed, with no significant bugs detected. User evaluation shows high satisfaction, with an average score of 4.3 out of 5, covering ease of use, interface design, and increased awareness of saving. The combination of gamification, reward systems, and adaptive personalization successfully motivates users to save regularly. This system demonstrates the potential of integrating AI-driven personalization to strengthen financial literacy and healthy financial habits among students in a fun and interactive way.methods, and a summary of the results. The abstract should end with a comment about the significance of the results or conclusions brief.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

Early detection of a potential heart attack is a crucial step in preventing sudden death from heart disease. This research aims to develop an Internet of Things (IoT)-based health monitoring system capable of measuring vital body data in real time and predicting the likelihood of a heart attack from CSV data obtained from sensors, integrated through RapidMiner as learning data using a machine learning algorithm, the Support Vector Machine (SVM). The system was built using an ESP32 microcontroller connected to a MAX30102 sensor to measure heart rate and finger oxygen levels (SpO₂), as well as a DHT22 sensor to measure temperature and humidity. The resulting data is sent to the Blynk application to display real-time data according to its parameters. The initial prediction logic was developed using a rule-based method based on medical thresholds for four vital parameters. The data was then used to train an SVM model as a classification system to detect potential heart attacks. Test results showed that the system can identify abnormal conditions with a good level of accuracy and provide early warnings based on changes in vital parameters in real time. This system is expected to be an initial solution for personal health monitoring, especially for individuals at risk of heart disease. It can be further developed with cloud integration and automatic notifications to users' devices.

This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.

Postpartum depression is a postpartum mental health disorder that significantly impacts maternal well-being, infant development, and family functioning. The high prevalence of postpartum depression in Indonesia is due to limited access to health services, low mental health literacy, and social stigma in the community. This indicates a significant gap between the need for maternal mental health services and the availability of existing interventions, making education a crucial component in efforts to prevent postpartum depression early. This study aims to analyze the prevention of postpartum depression in postpartum mothers through telenursing-based education and screening using the Edinburgh Postnatal Depression Scale (EPDS) in the community. A descriptive case study design was used, involving one respondent, a 25-year-old primigravida mother residing in the Bantul area. The intervention was implemented online via WhatsApp and video calls, including structured health education on postpartum psychological changes, adaptive coping strategies, and the importance of social support. The intervention also included daily remote monitoring of the respondent's condition via the WhatsApp mobile application. The EPDS was administered as a pre-test and post-test to evaluate changes in the respondent's psychological condition. The findings showed a significant decrease in the EPDS score from 16 (moderate depression) to 6 (minimal depression), indicating significant psychological improvement. These results imply that integrating EPDS screening, structured health education, and daily monitoring is an effective and accessible community-based approach to preventing postpartum depression, particularly for mothers with limited mobility and access to health services.

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

 Background: Perineal pain due to episiotomy is a common complaint experienced by postpartum mothers and can affect patient comfort, mobility, and recovery. Nonpharmacological pain management is needed to help reduce discomfort with minimal risk of side effects. Objective: This study aimed to determine the effectiveness of applying cold compresses using ice packs in reducing perineal pain intensity in postpartum mothers with episiotomy. Methods: The study used a descriptive case study design in three vaginal postpartum patients with episiotomy who were treated in the postpartum ward. The intervention involved applying cold compresses using ice packs to the perineal area for 10–15 minutes, as per nursing procedures. Pain was measured using the Numeric Rating Scale (NRS) before and after the intervention. Findings: The results showed a decrease in pain intensity in all patients after the application of cold compresses. Patient P1 experienced a decrease in pain score from 5 to 4, patient P2 from 6 to 5, and patient P3 from 5 to 4, with an average decrease of 1 point. Implications: Cold compresses using ice packs have the potential to be an effective non-pharmacological nursing intervention to help reduce perineal pain and improve the comfort of postpartum mothers with episiotomies during the care period.

Christology is a branch of Christian theology that discusses the person and work of Jesus Christ as the core of the Christian faith. The development of the modern era, characterized by globalization, pluralism, technological advancement, and cultural diversity, presents new challenges in understanding Christ in a relevant and contextual manner. This research aims to examine the development of Christological reflection in various life contexts and explain its application in contemporary life. The research uses a qualitative approach with a literature study method thru the examination of various classical and modern theological literature from both Protestant and Catholic traditions. The analysis was conducted using a historical-critical approach to understand the development of Christological thot from the early church period to the modern era. The research results show that Christology is not only doctrinal but also has practical dimensions related to personal, social, cultural, interfaith dialog, ecological, and modern challenges. Christological reflection affirms that Jesus Christ is understood as the true God and true man, serving as the foundation of spirituality, ethics, and social action for Christians. Furthermore, the contextual Christological approach helps the church present Christ's teachings relevantly in a pluralistic and dynamic society. This research implies the importance of developing contextual, inclusive, and transformative theology so that the Christian faith remains meaningful in modern life.

Usability evaluation plays a crucial role in ensuring the quality of digital systems, particularly in terms of comfort, effectiveness, and ease of use. Instruments such as the System Usability Scale (SUS), User Experience Questionnaire (UEQ), and Heuristic Evaluation (HE) are widely used in modern usability studies. This research conducts a Systematic Literature Review (SLR) to identify patterns and trends in the use of these instruments. A total of 27 initial studies were collected, and 16 were selected through the PRISMA screening procedure. The findings show that UEQ is the most frequently used instrument, especially in Learning Management Systems (LMS) and academic platforms, while SUS is commonly applied to mobile applications and digital libraries for rapid usability assessment. HE is effective in revealing fundamental interface issues such as non-intuitive navigation and layout inconsistencies. Overall, digital systems perform well in Efficiency and Perspicuity, but consistently show low scores in Novelty. This study provides an integrative knowledge map that highlights cross-instrument insights and supports the development of more intuitive, innovative, and user-centered digital systems

This study aims to analyze the implementation of information technology in improving the quality of public services. The research method used is library research by collecting and analyzing various scientific sources, such as journals, books, research articles, and government documents related to information technology and public services. The results show that the implementation of information technology through online service systems, official websites, and administrative information systems is able to improve the effectiveness, efficiency, transparency, and accessibility of public services. Information technology also helps accelerate administrative processes, reduce data management errors, increase employee productivity, and strengthen communication between the government and the community. In addition, the implementation of information technology supports the realization of e-government and good governance through increased accountability and information transparency. However, the implementation of information technology still faces several challenges, such as limited human resources, inadequate technological infrastructure, unstable internet connections, and the low ability of some communities to use digital services. Therefore, it is necessary to improve employee competencies, develop technological infrastructure, and conduct public socialization to optimize the implementation of information technology in public services. Overall, information technology has proven to be a strategic solution in creating modern, effective, efficient, transparent, and community-oriented public services.

Job analysis is a key component of human resource management that plays a role in determining the tasks, responsibilities, and competencies required for a particular job. In various organizations, job analysis serves as the foundation for HR planning, recruitment, selection, employee placement, and performance evaluation. However, research on job analysis remains scattered across various studies focused on specific organizational contexts, necessitating a literature synthesis to gain a more comprehensive understanding of research developments in this field. Therefore, this study aims to analyze the development of research on job analysis and identify its role and contributions to human resource management. This study employed a literature review method by searching for scientific articles in the Google Scholar database using the Publish or Perish (PoP) application with the keyword “job analysis.” The initial search yielded 30 scientific articles, which were then screened based on topic relevance, open access, and publication years ranging from 2020-2026, resulting in 16 articles selected for further analysis. The findings indicate that the literature on job analysis can be grouped into three main themes: the role of job analysis in human resource management, its contribution to improving employee performance and productivity, and its implementation in employee placement and organizational governance. Overall, job analysis has proven to be a strategic tool for enhancing the effectiveness of human resource management. Further research is recommended to examine the implementation of job analysis in greater depth across various organizational contexts to enrich the development of human resource management theory and practice.

Dijkstra's algorithm is one of the algorithms in graph theory that is used to solve the problem of the shortest path of a graph at each vertex that has a non-negative value. This algorithm was discovered by Edsger Wybe Dijkstra, a scientist from the Netherlands. The search for the shortest route for product delivery can be calculated through the application of the Dijkstra algorithm in the problem being faced. The problem of decision making for selecting the shortest route is still manual, so it experiences several obstacles, including the absence of a systematic and computerized system to assist the decision-making process in determining the route for shipping goods, the determination of shipping routes still depends on manual estimates so that the time taken between deliveries becomes inconsistent, the operational costs of shipping are relatively high because there is no optimal route determination system. Facing these problems, a system is needed that can minimize delays and increase effectiveness in shipping goods, namely determining the shortest route using the Dijkstra algorithm. This system works by finding various alternative routes for shipping goods at PT AMSA to address various structured and unstructured problems using data and models. To process this data and models, a method called the Dijkstra algorithm is required. Based on the description above, researchers will create a method for determining the shortest route for shipping goods at PT AMSA using the Dijkstra algorithm to facilitate the company's process of determining the shortest route.

  Red dragon fruit contains bioactive compounds such as vitamin C, flavonoids, and polyphenols that have antioxidant potential and possess natural pigments that can be used as cosmetic colorants. This study aims to formulate and evaluate a blush-on powder preparation from dragon fruit pulp extract as an alternative natural colorant. The evaluation includes organoleptic testing, homogeneity, pH, irritation, spreadability, fineness, moisture content, and antioxidant activity. The results showed that the formulation met most of the requirements, exhibiting a pink color, a smooth texture, no odor, homogeneity, a pH of 6 suitable for the skin, no irritation, even spreadability within 4 applications, a fineness degree of 97.6%, and a moisture content of 6.91%. Antioxidant activity showed an IC₅₀ value of 0.3036 ppm (very strong), although the relative inhibition percentage was low (18.35%). Thus, dragon fruit extract has the potential as a natural ingredient in blush-on powder that provides both color and antioxidant benefits.

Organizational psychology plays an important role in understanding individual and group behavior within organizations, particularly in educational contexts. Its application can help improve the effectiveness of educational institution management by strengthening key aspects such as work motivation, leadership, communication, and a conducive work environment. By understanding these aspects, educational organizations can develop more effective work systems, enhance the performance of educators, and create a positive and productive organizational culture. However, research on organizational psychology in educational settings remains fragmented and often focuses on specific variables separately. This limits a comprehensive understanding of how these factors interact to influence overall organizational performance. Therefore, a more integrative and comprehensive review is needed to synthesize previous findings. This study aims to review and synthesize existing literature on organizational psychology in educational organizations, with a particular focus on the roles of motivation, leadership, and work environment in improving organizational effectiveness. The findings are expected to provide a more holistic understanding and serve as a basis for developing strategies to enhance the performance of educational organizations in the future.

This research is motivated by the importance of understanding the development of the Kingdom of God in Indonesia as a reality present in the lives of the people through the values ​​of love, justice, and peace in a pluralistic society. The purpose of this research is to analyze the factors that support and hinder the development of the Kingdom of God in Indonesia and explain its application in contemporary life. The method used is a qualitative descriptive method through a literature review and theological analysis of the social, cultural, and religious dynamics that are developing in Indonesian society. The results of the study indicate that the development of the Kingdom of God is supported by the role of the church in evangelistic missions, holistic services, universal values ​​of love and justice, and a spirit of religious moderation. On the other hand, this development is hampered by local cultural resistance, socio-political dynamics, a lack of comprehensive theological understanding, and the potential for conflict in poorly managed plurality. The implications of this research emphasize that the Kingdom of God needs to be lived as a contemporary reality through personal and social transformation, obedience to God's will, and the realization of identity as citizens of the Kingdom of God in everyday life.

This study aims to analyze trends in scientific publications related to the application of green banking in financing products within Islamic banking in Indonesia during the 2019–2024 period. Using a bibliometric analysis method based on Google Scholar data and mapping via VOSviewer software, this study evaluates 60 selected articles. The study results indicate a significant annual increase in publications, with a primary focus on integrating green banking principles into Islamic financing policies, their impact on profitability, and the role of technology in supporting green banking. Additionally, the study found that environmental sustainability, green financing, and digital transformation are the most dominant themes in the development of green banking research within Islamic banking. Bibliometric network analysis indicates a strong interconnection between the concepts of green finance, sustainable banking, and Islamic banking in supporting sustainable economic development. This study also identifies opportunities for further research related to the effectiveness of green banking implementation on the financial performance and social responsibility of Islamic banking. These findings contribute to the development of green finance literature in the Islamic finance sector and serve as a strategic reference for regulators and practitioners in implementing sustainable banking policies in the future.

Management psychology is an approach that plays a crucial role in understanding individual and group behavior within organizations, particularly in the ever-evolving educational and work environments. The application of psychological principles to management practice is believed to improve performance, leadership effectiveness, and create a more conducive work and learning environment. This study aims to examine the development of trends, approaches, and key findings in the study of management psychology through a literature review. Furthermore, this study also seeks to answer two research questions: (1) how have management psychology research trends developed over the past five years, and (2) what are the key findings in the educational and organizational contexts. The method used is a qualitative approach by searching various literature sources through the Google Scholar and Publish or Perish (PoP) databases, using the keyword "management psychology." Of the 20 articles found between 2021 and 2026, five were selected as the most relevant for further analysis. The study results indicate three dominant themes: the role of management psychology in education, the influence of motivation and leadership on performance, and its contribution to the organizational adaptation process. The conclusions of this study confirm that integrating psychological aspects into management plays a crucial role in increasing organizational effectiveness. Therefore, further research is recommended to empirically examine the relationship between psychological variables and a broader scope.