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The development of information and communication technology has changed the global trade landscape, including in Indonesia. The city of Pekanbaru as the capital of Riau Province has great potential in the development of e-commerce that is integrated with the concept of a smart city. This research aims to analyze the optimization of e-commerce through the implementation of the smart city concept in Pekanbaru. Using a qualitative approach and secondary data analysis, this study examines technological infrastructure, government policies, and community participation in supporting the e-commerce ecosystem. The results show that the implementation of the smart city concept can improve the effectiveness of e-commerce platforms through improved digital connectivity, integrated payment systems, and more efficient logistics services. The adoption of technologies such as big data, Internet of Things (IoT), and geographic information systems (GIS) also supports more responsive decision-making, both by business actors and government agencies. In addition, the involvement of local MSMEs is an important component in expanding the adoption of e-commerce in an inclusive and equitable manner throughout the city. This research also highlights the importance of digital literacy among the public, including micro business actors, to optimize the use of digital technology in business transactions. The local government is expected to strengthen regulations, provide supporting infrastructure, and open cross-sector collaboration to accelerate digital transformation in Pekanbaru. A sustainable education strategy for the community is also needed through training, digital socialization, and technical support so that all levels of society can actively participate in the digital ecosystem. Thus, synergy between the government, business actors, academics, and the community is the main key in creating an adaptive, efficient, and sustainable digital ecosystem, as well as making Pekanbaru a smart city that excels in the field of electronic commerce.

 Matra Health is a form of health service specifically designed to maintain and improve public health in dynamic, complex, and constantly changing environmental conditions. This service plays a very vital role, especially in facing and handling various types of disasters, both natural disasters such as earthquakes, floods, and landslides, as well as non-natural disasters such as residential fires. One form of non-natural disaster that often occurs in densely populated areas is residential fires. This is caused by various factors such as unsafe electrical installations, a lack of public awareness of the dangers of fire, and buildings that are not resistant to heat or fire. Residential fires not only cause physical damage to buildings and infrastructure, but also cause various health problems, ranging from burns, respiratory problems due to smoke exposure, to psychological trauma, especially in vulnerable groups such as children, the elderly, and pregnant women. In response to these conditions, a dimensional health intervention activity was carried out from June 23 to 26, 2025 in areas affected by the fires under the coordination of the South Sumatra Regional Crisis Center. This activity aims to reduce health risk factors that arise after the fires through a series of actions such as multi-sector health surveillance, public health education, and distribution of logistical assistance. The activity also includes conducting rapid assessments using the Rapid Health Assessment (RHA) method, providing education on fire impact prevention, and distributing supplementary food to vulnerable groups. The results of the activity showed a significant increase in public understanding of the dangers of fire and the importance of preparedness for its impacts. Furthermore, the need to strengthen cross-sectoral coordination, such as health, disaster management, and social sectors, in disaster management was identified. It is hoped that this activity can serve as a model for strengthening community-based emergency response systems.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

This research focuses on the development of an Android-based vegetable detection application by utilizing digital image processing technology and data communication through Application Programming Interface (API). This application is designed to make it easier for users to visually recognize different types of vegetables using the device's camera. The detection process is carried out by sending the image to a cloud server, where the image analysis process is carried out to identify the type of vegetable, displaying its name, characteristics, and benefits. The app's implementation includes an intuitive and user-friendly user interface, with key features such as login, registration, and an interactive dashboard. The dashboard displays user information, location, ambient temperature, vegetable detection history, and direct access to the camera for real-time detection processes. The utilization of cloud computing technology not only keeps application performance lightweight and responsive, but also enables high processing efficiency and data scalability. This allows the application to continue to evolve according to the increasing number of users and incoming data. Image processing is done with machine learning algorithms that are trained to recognize the shape, color, and texture of different types of local vegetables. In addition, this system is also equipped with a periodic data update feature to be able to adjust to the development of new vegetable classifications. The test results show that the app is able to recognize different types of vegetables with a high level of accuracy, as well as provide additional relevant information quickly and accurately. Tests are carried out on a variety of lighting and background conditions to ensure the reliability of the system. The success of the development of this application reflects the integration of modern technology in supporting the digital agriculture sector.

Awareness of environmental health is an important factor in maintaining community welfare, especially in developing urban areas. The city of Medan, as one of the major cities in Indonesia, still faces various environmental problems such as poor sanitation, garbage accumulation, and water pollution, which have an impact on public health. This study aims to analyze the factors that affect the level of public awareness of environmental health in the city of Medan. This study uses a quantitative design with a cross-sectional approach. Data were collected from 100 randomly selected respondents using a structured questionnaire, which measures people's level of awareness of environmental health and various factors that influence it, such as education level, media exposure, and economic status. Data analysis was carried out univariately, bivariately with Chi-square test, and multivariate using logistic regression to determine the relationship between independent variables and the level of public awareness. The results of the study show that factors such as education level, media exposure, and economic status have a significant influence on the level of public awareness. People with higher levels of education, better media exposure, and better economic status tend to have higher awareness of environmental health issues. The implications of these findings suggest that improving environmental education and more effective dissemination of information can be an important effort in raising public awareness. Community-based programs that focus on education and strengthening environmental information can be a strategic step in overcoming environmental problems in urban areas. The results of this research are expected to be a reference for the formulation of more effective policies and programs in increasing environmental awareness in urban communities.

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

This article examines four essential elements of scientific writing: paragraphs, citations, bibliographies, and footnotes. These four elements play a vital role in ensuring the quality and integrity of academic writing. The primary objective of this study is to provide a comprehensive understanding of the definition, function, and application of these four elements within the context of correct and effective academic writing. This study is highly relevant given the crucial role of scientific writing in education, particularly for students writing scientific papers such as theses, dissertations, and journal articles. This study employed a qualitative descriptive approach through a literature review, conducted from July to August 2025. In this study, the authors analyzed various academic sources consisting of national and international publications to gain a deeper understanding of these four elements. This approach enabled the authors to observe how paragraphs, citations, bibliographies, and footnotes are widely used in various types of scientific works. The results of the study indicate that each element of scientific writing plays a crucial role. Paragraphs, for example, serve to organize ideas logically, allowing readers to easily follow the flow of the argument. Citations, on the other hand, serve to strengthen the author's argument by referencing valid sources, thereby enhancing the credibility of the writing. A bibliography is crucial for demonstrating scientific honesty, as it lists the sources used in research or writing. Footnotes, on the other hand, serve as additional explanations, providing further information without disrupting the main flow of the paper. However, this study also found that students still make numerous technical errors in their citations and references. These errors include inappropriate citation formatting, unclear use of sources, and errors in the bibliography. These errors can diminish the academic quality of the paper and undermine readers' confidence in the validity of the arguments presented.  

Indonesia is prone to natural disasters because it is located at the confluence of three active tectonic plates. This condition causes high earthquake, volcano, and tsunami activity in Indonesia. Mount Kelud is the most active volcano in Indonesia with cycles that recur every 8 to 15 years. The community service method carried out is to collect data on the area, population, targets, capacity, vulnerability level, and empirical data on the 2014 eruption of Mount Kelud. Then conduct analysis, calculate estimates of health logistics needs, especially reproductive health, socialize the results of the analysis, and conduct disaster preparedness education. This activity was carried out for 6 weeks from March 12 to April 21, 2025. Based on the results of the risk assessment, the Ngancar District, Kediri Regency area has a score of frequent risk scale, severe impact scale, and priority and impact scale in the high category. To overcome the health crisis, a contingency plan is needed, especially for the reproductive health sub-cluster, which includes the preparedness of target data, existing capacity in the region, the level of vulnerability, and the estimated amount of health logistics needed to anticipate the eruption of Mount Kelud. Mount Kelud has a periodic eruption pattern in 8 to 15 years. The contingency plan for dealing with the health crisis of the eruption of Mount Kelud is very important for health service stakeholders because it can minimize the adverse impacts caused, increase rapid response, and ensure smooth coordination between related institutions in dealing with the natural disaster effectively and efficiently. It also supports disaster risk reduction efforts at the community level and strengthens the resilience of local communities.

The reciprocal tariff policy has a significant impact on a number of countries, including Indonesia. In this scheme, Indonesian non-oil and gas products are subject to a tariff of 32% when entering the US market. Such a high tariff places Indonesian exporters in a less competitive position compared to other countries that have more favorable trade arrangements with the United States. This condition becomes more complex when viewed in the broader context of the US-EU trade war, which creates uncertainty and turbulence in the global economy. Indonesian exports are affected both directly and indirectly. Indirect impacts can be seen from disruptions to the global supply chain, the slowdown in the world economy, and decreased global demand. As global production networks become increasingly interconnected, any disruption in major economies will ultimately suppress demand for Indonesian export commodities. This means that even if Indonesian products are not directly targeted, the ripple effects of global trade tensions will still hinder Indonesia’s export performance. For instance, reduced consumption in Europe and the US due to rising product prices and inflation will diminish market opportunities for Indonesian goods.On the other hand, direct impacts arise because several Indonesian products have been explicitly subjected to tariffs by the US government. These include textiles and textile products (TPT), electronics and their components, footwear, furniture, and palm oil (crude palm oil/CPO). Such tariffs significantly reduce Indonesia’s competitiveness in the US market, potentially leading to decreased export volumes, lower revenues for domestic industries, and job losses in export-oriented sectors. Furthermore, the policy also makes European products much more expensive in the US market, which worsens the global supply chain, increases logistics costs, triggers inflation, and escalates uncertainty in international trade.

Giving breast milk (ASI) exclusively during the first six months of a baby's life is very important in supporting the baby's growth and development and body resilience. However, the practice of giving formula milk is still quite high and is a challenge in fulfilling exclusive breastfeeding. This study aims to determine the determining factors for giving formula milk to babies aged 0-6 months in the work environment UPT Primary Health Care Pujon. This research design uses a descriptive analytical approach with a cross-sectional method to identify factors associated with exclusive breastfeeding. The research population was all mothers who had babies with a sample of 52 respondents obtained through total sampling. Data analysis was carried out using the Chi-Square test and logistic regression to determine the most dominant factors. The research results showed that all variables had a p value > 0.05, namely age (p=0.274), education (p=0.156), occupation (p=0.384), parity (p=0.280) and socio-culture (p=0.711), so there was no significant relationship between these variables and exclusive breastfeeding. The logistic regression model was also not significant (p=0.308), indicating that there were no dominant factors influencing the practice of exclusive breastfeeding among respondents. Thus, the low coverage of exclusive breastfeeding in this study may be influenced by other factors outside the variables studied.

In recent years, rapid advancements in digital technology have significantly transformed global healthcare delivery. The COVID-19 pandemic acted as a catalyst, accelerating the integration of information technology into healthcare systems, particularly through the increased adoption of telemedicine. In the field of internal medicine, which often involves long-term care and management of chronic illnesses, telemedicine presents a promising solution to enhance service accessibility, improve care efficiency, and sustain favorable clinical outcomes. This study aims to conduct a narrative review to explore the impact of telemedicine on patient clinical outcomes, healthcare worker workload, and healthcare system efficiency within internal medicine practice. The review is based on an analysis of peer-reviewed literature published between 2020 and 2025, sourced from major databases including PubMed, Scopus, and Web of Science. Article selection was based on relevance to the topics of telemedicine and internal medicine, contextual applicability, and full-text availability. The findings of the review reveal that telemedicine contributes positively by expanding access to care, reducing travel time and logistical barriers for patients, accelerating clinical response times, and decreasing patient congestion in healthcare facilities. These outcomes are particularly beneficial for patients with chronic conditions who require regular monitoring and consistent communication with healthcare providers. However, the implementation of telemedicine also introduces new challenges, including increased administrative responsibilities and digital workload for healthcare professionals. The study underscores the importance of equipping healthcare systems with adequate digital infrastructure, implementing supportive and flexible policies, and providing comprehensive training for healthcare workers. These measures are crucial to ensure the successful and sustainable adoption of telemedicine in internal medicine. Overall, telemedicine holds strong potential to reshape the future of internal medicine, provided that its integration is strategically managed to balance technological advancement with human-centered care.

This study focuses on the development and implementation of “Pasar Kita,” a web-based marketplace system designed to facilitate digital transactions for traditional market sellers and consumers. The system was developed using PHP as the backend programming language and MySQL as the database management system. The purpose of this project is to address the digital gap experienced by traditional market vendors who have limited access to modern e-commerce platforms. The research includes a needs analysis, system design using UML diagrams, implementation of main features such as registration, login, product management, transactions, checkout, and order tracking, followed by system testing. The results show that all major functions operate properly, including user authentication, product uploads, order processing, and payment simulations via transfer or cash-on-delivery (COD). System testing indicates that the platform meets usability, functional, and responsiveness criteria. The findings highlight the system’s capability to support local economic digitalization by providing an accessible and user-friendly marketplace for traditional market vendors and consumers.

In perceiving the quality of service, satisfaction, or image, a person would base the perception on the values felt by the patients. The research aimed at analyzing the influence of service quality on the reuse of inpatient services at Hospital X. This was an analitic survey research with the cross sectional study design. Responden taken as samples were as many as 120 people. Data collected through an interview, questionnaire, and documentation. Data were analyzed using the descriptive statistics analysis namely calculating the average, percentage, frequency tables and inferential statistics through the Chi-square test, multivariate analysis through the multiple logistic regression analysis. The research result indicates that the influence of service quality with the inpatient reutilization in general hospital X was significant, that is service quality of administration (p = 0,032), service quality of doctors (p = 0,001), service quality of nurses (p = 0,000), service quality of pharmacist (p = 0,000), service quality of instruments (p = 0,020), and quality service of treatment rooms (p = 0,009). The variable of the nurses service quality and pharmacist’s quality are the most influential variables on quality service with the inpatient reutilization.

Improving the accuracy of emission monitoring in the Continuous Emission Monitoring System (CEMS) is crucial to support compliance with environmental regulations, especially in gas and steam-based power plants (PLTGU). At PT Jawa Satu Power's PLTGU, the purging system on the CEMS sample probe is still performed manually and limited to scheduled preventive maintenance, potentially reducing emission data reliability due to particle contamination. This study aims to design and simulate an automatic purging system based on a Programmable Logic Controller (PLC), taking into account technical parameters such as timer, gas pressure, temperature, and sample flow rate. The system design was carried out through the modeling of automatic control logic using CX-Programmer software, with a protection approach based on real-time conditions and timing. The design results show that the automatic purging system can improve cleaning consistency, reduce the risk of contamination, and enhance the integrity of emission monitoring data. This study is expected to serve as a foundation for developing a more applicable and integrated automated purging system for CEMS in the future.

This study aims to develop interactive learning media for logic gate material in Industrial Electronics Engineering subjects at SMK Negeri 5 Batam by utilizing Adobe Flash CS6 integrated with CircuitVerse. This media is designed to provide a more interesting, interactive, and applicable learning experience, so it is expected to improve students' understanding of the concept of logic gates which is a basic material in the field of electronics. The study uses a Research and Development (R&D) approach with a 4D development model that includes the Define, Design, Develop, and Disseminate stages. Research data were collected through validation by material experts and media experts, as well as practicality tests involving students. Data collection instruments were in the form of validation sheets and student response questionnaires. The validation results showed that the developed learning media obtained a score of 88.20% from material experts and 93.88% from media experts, both of which are in the "very valid" category. The practicality test involving grade XI students obtained a score of 92.80%, indicating that the media is "very practical" to use in the learning process. This interactive media combines elements of text, images, animation, and digital circuit simulations using CircuitVerse, so students can learn logic gate concepts visually and directly practice them virtually. This integration not only makes it easier for students to understand the theory but also trains problem-solving and critical thinking skills. The findings of this study indicate that interactive learning media based on Adobe Flash CS6 and CircuitVerse has great potential to increase learning motivation, student engagement, and conceptual understanding of logic gate material. This media is also relevant to support the implementation of the Independent Curriculum, which emphasizes project-based learning, independent learning, and complete competency mastery.  

This training activity on application development using the Thunkable platform was designed to enhance digital literacy, logical thinking skills, and strengthen the character of adolescents through a Project-Based Learning (PjBL) approach. In today’s digital age, digital literacy is an essential competency, and equipping young people with the ability to create meaningful technology empowers them to be not just users but also creators of impactful digital solutions. The training took place on May 17, 2025, at a member’s house from the GKI Kasih congregation in Perumnas, Sorong. It was attended by 20 participants aged between 12 and 17 years. The choice of a familiar and friendly setting was intended to create a comfortable and collaborative learning environment. The training materials were structured step-by-step, starting with an introduction to the Thunkable platform, user interface (UI) design, navigation logic development using visual block programming, and culminating in group presentations and reflections on the final projects. The project theme chosen for the training was "Prophets as Role Models," aimed at integrating spiritual values and character development into an educational digital application. Through this project, participants not only gained technical skills but also reflected on the moral and inspirational values of prophetic figures in the Christian faith. Evaluation results showed that the training had a significant positive impact. Participants demonstrated increased understanding of app development concepts, were able to explain their project workflows and features, and showed high levels of enthusiasm and creativity throughout the process. Furthermore, character values such as teamwork, responsibility, and a strong learning spirit were fostered. This initiative serves as a concrete example of how technology-based education can be effectively combined with character formation. It also provides a replicable training model for other communities, particularly for church-based youth development programs that aim to nurture digitally literate and morally grounded future generations.

This study aims to explore the strategic role of e-commerce in increasing the export of handicraft products by Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, with a case study on CV. Palm Craft in Kediri. In the context of globalization and digitalization, e-commerce is an important means for MSMEs to reach the international market, especially in the midst of the challenges of the COVID-19 pandemic that limit conventional export activities. This study uses a descriptive qualitative approach with data collection techniques through observation, in-depth interviews, and documentation. The main focus of this study is how CV. Palem Craft utilizes various digital platforms such as social media (Instagram, Facebook), marketplaces (Tokopedia, Shopee), and global platforms (Amazon, Etsy) to expand market access, build product branding, and increase the selling value of local handicrafts. The results of the study show that the strategic use of e-commerce has helped companies overcome export barriers such as limited distribution networks, logistics constraints, and lack of international promotion. In addition, e-commerce also allows CVs. Palem Craft to build direct relationships with global consumers, get faster feedback, and make product adjustments according to market needs. This research also identifies supporting factors such as digital literacy, product quality, and production capacity as crucial aspects in the success of e-commerce strategies.  The implications of this study provide relevant insights for other MSMEs that want to develop exports through the use of digital technology. Continuous support from the government and related institutions is needed in terms of training, access to capital, and digital export facilitation so that Indonesian MSMEs can compete in the global market in a sustainable manner.  

Relations in mathematics are a fundamental concept that describe the connection between two sets. This concept is crucial because it forms the foundation for understanding functions and various other mathematical topics. In everyday life, relations can be found in numerous real-world situations, such as the relationship between teachers and their students, sellers and buyers, or students and their exam scores. By understanding relations, students can see how elements from one set are linked to elements in another set based on specific rules. Unfortunately, many students still find it difficult to grasp the concept of relations because it is often taught in an abstract way, filled with mathematical symbols that are not connected to their real-life experiences. As a result, students may feel that the topic is irrelevant to their lives, leading to a lack of interest and poor comprehension. In fact, if taught contextually and practically, the concept of relations can serve as a key bridge to help students understand functions and their relevance in the real world. This article aims to explain the concept of relations through a more practical and relatable approach. For example, it can be illustrated by connecting students' names with their attendance numbers, or linking foods with their nutritional contents. Through these examples, students can see that relations are not just rigid parts of a math lesson but also reflect meaningful connections in everyday life. In this way, it is expected that students will gain a more comprehensive understanding of relations—not only mathematically but also in terms of practical application and functionality. A solid understanding of relations will make it easier for students to learn advanced concepts such as functions, mappings, and mathematical logic. Therefore, a learning approach that emphasizes contextual understanding is essential, so that students are not merely memorizing formulas but are also capable of applying the concept of relations in real-world situations.

This study aims to determine the influence of students' learning habits on learning outcomes in Mathematics subjects in grade IV students of SD Negeri 200307 Padang Sidempuan. The background of this research is the importance of the role of structured and consistent learning habits in supporting the achievement of optimal learning outcomes, especially in logical and analytical subjects such as Mathematics. This study uses a quantitative approach with a descriptive survey method to obtain an objective picture of the relationship between variables. The population in this study is all grade IV students, and the sampling technique was carried out by purposive sampling, with a sample of 26 students selected based on certain criteria. Data collection was carried out through an instrument in the form of a Likert scale questionnaire as many as 60 previously validated statements, in order to measure the level of students' learning habits. Meanwhile, student learning outcome data is obtained from their academic scores in Mathematics subjects. Data analysis was carried out using a parametric statistical test in the form of a t-test to test the proposed hypothesis. The test results showed that the tcount value of 1.909 was greater than the ttable of 1.695, which means that there was a significant influence between students' learning habits on Mathematics learning outcomes. Thus, it can be concluded that good study habits make a real contribution to improving student learning outcomes. These findings are an important basis for teachers and schools to continue to encourage and foster positive learning habits among students. The implications of this study also recommend the need to strengthen independent learning strategies and effective study time management as part of the learning program in elementary schools.  

The study of eschatology and logic in Islam represents a significant and intellectually rich area within the broader discourse of ʿAqidah (Islamic creed) and Islamic philosophy. Eschatology, derived from the Greek word eschatos meaning "last," concerns matters of the afterlife, including death, the apocalypse (al-Sāʿah), resurrection (al-Baʿth), judgment (al-Ḥisāb), heaven (Jannah), and hell (Jahannam). These concepts are elaborated extensively in both the Qur'an and the prophetic traditions (ḥadīth). Meanwhile, logic in Islam is not merely a philosophical exercise but serves as an epistemological framework for interpreting divine revelation and deducing legal and theological principles. Islamic logic (al-manṭiq) is rooted in both Greek logical tradition—particularly Aristotelian logic—as well as unique Islamic methodologies that integrate rationality with scriptural fidelity. This research aims to analyze selected verses and prophetic traditions related to eschatology and logic, with the objective of understanding not only their linguistic and theological meanings but also their practical implications for human belief systems and ethical behavior. The study employs an interpretive and analytical method (manhaj taḥlīlī wa tafsīrī), focusing on exegesis (tafsīr) of Qur’anic verses QS. Al-A'raf: 187–188 and QS. Al-An'am: 30, as well as relevant ḥadīths concerning eschatological events and rational thought. These verses were selected due to their direct references to the knowledge of the Hour (ʿilm al-sāʿah) and the human tendency to demand evidence while rejecting spiritual truth. The findings indicate that Islamic eschatology is framed not around speculative prediction but rather spiritual and moral readiness. The Qur'an clearly asserts that knowledge of the exact time of the Day of Judgment belongs solely to Allah (QS. Al-A’raf: 187), highlighting the limitations of human knowledge and emphasizing submission to divine wisdom.