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The discourse regarding al-i'jaz al-'ilmi is a contemporary issue in the i'jaz al-Qur'an, especially if it is related to the discourse on the integration of science and religion. This is in line with the view that the Qur'an contains al-i'jaz al-'ilmi, so that it provides motivation and guidance for the development of science. However, errors in integrating science and religion will give birth to "pseudoscience" or "pseudoscience" which of course is not scientific. Even more than that, someone will be trapped in the "religiousization" of science or "sainization" of religion which assumes that religion and science can complement, complement and correct each other. Therefore, within the framework of the Philosophy of Science with library research type research, this article presents a study of the possibility of developing science based on the Koran. Even though there have been efforts to root scientific findings in the Koran, from the perspective of the Philosophy of Science, this is not necessarily science based on the Koran, in fact it may not even be science, but simply a layman's choice which is non-scientific. There is a pattern of scientific development which, although based on religion, still has scientific value, consisting of three layers of philosophical basis, namely theoretical framework, scientific paradigm and theological basis. By carefully following this pattern, the development of science can not only avoid pseudoscience, but will also give birth to science with high scientific value within the framework of the Koran. Then the development project is carried out with institutional-collective-cultural work.    

An elderly person is someone who reaches the age of > 60 years. This increase in age will result in a decrease in the ability of the body's functions, one of which is the nervous system, namely a mild, moderate decline in cognitive function and even dementia. Severe dementia will result in elderly people being unable to carry out activities so that they will experience elderly people who are not prosperous and happy. To overcome this, puzzle therapy is needed. Puzzle therapy is a game of arranging certain shapes until they become a complete image or form a certain pattern. This is to stimulate and improve the cognitive function of the brain. It is known that nursing care for elderly people with decreased cognitive function is provided by providing puzzle therapy. This case study uses a descriptive method with a nursing process approach carried out on 3 clients using a One Group Pretest Posttest puzzle therapy research design on cognitive function in the elderly. The implementation results showed that there was a change in the MMSE score after being given puzzle therapy for 5 consecutive days, namely Mrs. F from 21 to 23, Mrs. L from 22 to 24 while Mrs. E of 16 and still has a score of 16. The average MMSE score which increased after being given puzzle therapy was 2 scores. It is hoped that the results of this case study can become an application for implementing puzzle therapy to improve cognitive function in the elderly where caregivers or nursing home staff can also make puzzle therapy a routine activity that can be carried out every week at the Dharma Bhakti KM 7 Palembang Nursing Home.

Data mining is a technique for extracting new information from data warehouses, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as is the case with the Dimsum business at Dimsum Madani.toko. This is located on Jalan Lampu gg. Pelita 4, Brayan Bengkel, East Medan, the location is close to many Brayan Resident's Houses. This of course affects sales levels. Increasing daily sales activity results in an accumulation of sales transaction data that continues to increase, thereby burdening data storage. Unfortunately, this data is only stored without further processing. In fact, this data collection holds valuable information.This research uses Market Basket Analysis with the Apriori Algorithm to find association patterns based on consumer shopping behavior. The goal is to identify items that are often purchased together. The research results showed that the combination of Seaweed Dimsum with Tofu Skin Spring Rolls had the highest support value (50%) and the highest confidence (75%).

Communication has a role in building an organizational climate, which has an impact on organizational culture, namely the values ​​and beliefs that are the central point of the organization. The goal of communication in the organizational process is none other than to form mutual understanding (Mutual Undestanding). In short, so that there is equality in terms of reference and experience. Lecturer communication refers to patterns and forms of communication that occur in the context of organizational networks. This research aims to determine the communication patterns of lecturers in improving the interpersonal quality of students majoring in government science at Pancasakti University, Makassar. Data collection techniques were carried out through observation, interviews and literature study. The analytical method used is qualitative analysis. The research results show that good communication between lecturers and students will certainly result in better quality students, one of which is marked by increased student academic achievement. On the other hand, poor communication between lecturers and students will actually have an impact on decreasing the student's academic achievement. The indicators for the effectiveness of interpersonal communication, namely openness, empathy, supportive attitude, positive attitude, have worked well.

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).    

The rapid growth of e-commerce has significantly transformed consumer behavior, particularly among university students. This study examines how e-commerce platforms affect the interest and shopping preferences of students of the Faculty of Economics and Islamic Business, UIN Sultan Maulana Hasanuddin Banten. By analyzing data from surveys conducted among students, the research identifies key factors that drive their engagement with online shopping. These factors include convenience, variety of products, competitive pricing, and the ease of comparing different products. The study also highlights the role of technological advancements, such as mobile applications and secure payment gateways, in enhancing the online shopping experience. Furthermore, it explores the psychological aspects, such as the excitement of online deals and the influence of social media advertising, on students' shopping habits. The findings suggest that e-commerce has not only increased the frequency of students' purchases but also diversified their buying patterns. However, the study also addresses potential challenges, such as the risk of overspending and the impact of impulsive buying. Overall, the research provides valuable insights into the evolving landscape of consumer behavior in the digital age, emphasizing the importance of e-commerce in shaping the shopping interests of the younger generation.      

Market basket analysis is an important technique in data mining used to understand consumer purchasing patterns. This research uses the Apriori algorithm to identify relationships between products in the shopping basket, aiming to improve sales and marketing strategies in the retail industry. The focus of this study is on retail transaction data from West Java Province, which has a large and diverse population, reflecting complex consumer purchasing patterns. The research identifies several key issues: limited understanding of consumer behavior, unoptimized business strategy opportunities, and challenges in managing large transaction data. As a solution, the application of the Apriori algorithm can help find frequent consumer purchasing patterns and design more effective marketing strategies. The results show that market basket analysis using the Apriori algorithm is effective in understanding consumer purchasing patterns in the retail industry. This algorithm allows companies to discover itemsets that frequently appear together in transactions, which can be used to design more effective marketing and sales strategies.

The study aims to analyze the speech patterns of children who have hyperactivity disorders in the classroom context. The observational approach is used in this study to learn how the children respond to the instructions given. Children with adhd tend to have difficulty understanding complex instructions, so researchers need to highlight appropriate communication patterns and avoid giving them overly complex instructions. Interactions start with conversations between language researchers and communicative behaviors, so that children with adhd can more readily understand the content of a conversation and respond favorably. The study uses descriptive qualitative research methods. The data-gathering technique used was the triangulation or fusion of observation, interviews, and documentation. The results of this study show difficulties in maintaining attention, as well as difficulties in understanding and following instructions given in conversation in children with ADHD. These observation activities provide new insights into the children's behavior and characteristics with adhd, as well as proper treatment measures to meet their needs in social interaction.

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.    

Science  and  technology  have  grown in  tandem  with  the  development  pattern  of human civilization in this universe. History of human civilization requires effort of manifestation of values in the scope of their own perspective. The statement above can be proved by the strong backup with meaning of scienceand technology itself, it  is  values  and  includes  the  cultural  worldview  formed  by  human  itself.  Science and  technology  have  evolved  in  an  orderly  manner  on  the  based  on  scientific research   objectives.   Innovation   and   creation   of   science   and   technology   is influenced by the epistemology and methodology. Object of study in the disciplines of  science  and  technology  are  also  divided  into  different  categories  and  also create  its  own  subknowledge.  This  paper  discusses  aspects  of  the  history  of science  and  technology  and  also  aspects  of  epistemology  and  methodology  of science and technology in Islamic civilization.

Cognitive impairment is a neuropsychological condition characterized by a decline in cognitive functions that interferes with daily activities. Cognitive impairment in elderly can lead to the decrease in quality of life. One of the factors causing cognitive impairment is high triglyceride level. Therefore, this community service activity is carried out to increase awareness and knowledge about hypertriglyceridemia and cognitive disorders through education and health screening. The activity method with PDCA is implemented to ensure a systematic and effective approach. Preventive efforts are needed through education on healthy eating pattern, physical activity, and routine screening to control triglyceride levels and prevent cognitive impairment in the elderly.

Stunting is a chronic nutritional problem that impacts the growth and development of children, posing a serious challenge to public health in Indonesia. One strategic approach to addressing this issue is through intensive training of health cadres. Health cadres play a crucial role in educating the community about the importance of balanced nutrition and good health practices, especially for pregnant women and young children. Structured and continuous intensive training for health cadres is expected to enhance their knowledge and skills in early detection of stunting cases, providing nutritional education, and implementing appropriate interventions. This training program covers various topics such as healthy eating patterns, infant and young child feeding (IYCF), and prevention of diseases contributing to stunting. Additionally, the training includes simulations and field practices that allow health cadres to apply their acquired knowledge in real-life situations. Results from this training show significant improvements in the competencies of health cadres and a reduction in stunting prevalence in the intervention areas. Therefore, intensive training of health cadres has proven to be an effective strategy for stunting prevention and needs to be widely implemented in various regions of Indonesia.

Smart farming has become a rapidly growing research area with the aim of increasing agricultural productivity and efficiency through advanced technologies. One of the key technologies in smart agriculture is image processing, which enables real-time monitoring and analysis of crop conditions. This article reviews image processing applications in smart agriculture, with a focus on the methods and techniques used for crop monitoring. Image processing methods discussed include pest and disease detection, measuring plant growth, as well as monitoring soil moisture and plant health. Image processing techniques such as convolution-based image analysis (Convolutional Neural Networks/CNNs), image segmentation, and pattern recognition are applied to obtain accurate and relevant information. Case studies and field experiments show that image processing can provide accurate and real-time data, enabling farmers to make more informed and efficient decisions. In conclusion, the application of image processing technology in smart agriculture has great potential to increase crop yields, reduce resource use, and advance sustainable agricultural practices.

This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accuracy. The resulting decision tree provides valuable insights into the key factors contributing to athlete performance. The implementation of this algorithm is expected to assist sports organizations in more effectively identifying and developing potential talents.

This study aims to find out the influence of the implications of E-Commerce and Fintech on changes in consumption patterns of generation z. In this study, a quantitative approach was used with the data collection used to distribute questionnaires to users of the Shopee and BRImo applications in Bojonegoro Regency with techniques Purposive sampling, a sample that is taken based on certain criteria or characteristics chosen by the researcher. The results of the study show that E-commerce has an effect on changes in the consumption pattern of generation z in Bojonegoro Regency. Meanwhile, Fintech has no effect on changes in the consumption pattern of generation z in Bojonegoro Regency.

Dengue, or what people often call dengue fever, is a viral infectious disease that is transmitted through mosquitoes. The incidence of dengue has increased significantly worldwide in recent decades. Dengue has become a public health problem in the world, not only in Indonesia. In early 2020, WHO listed dengue as a global health threat among 10 other diseases. By the end of 2022 the number of dengue cases in Indonesia will reach 143,000 cases, dengue cases occur equally in women (49%) and men (51%). Most dengue cases occur in the 15-44 year age group (39%). This pattern is different from deaths due to dengue, which are more dominant in women (55%) and in the younger age group, namely 5-14 years (45%). Cases of Dengue Hemorrhagic Fever (DHF) in 2021 have doubled compared to the same period in 2020, which was only 41 cases. DHF cases in the city of Ambon have experienced a significant increase, as of June 2021 there were 81 cases of dengue fever recorded with 2 patients dying. The highest number of dengue fever cases was in Sirimau sub-district with 43 cases, followed by Nusaniwe with 18 cases, Baguala with 11 cases, South Leitimur with 6 cases, and Teluk Ambon sub-district with 3 cases. Based on data from the Tulehu Community Health Center, Salahutu District, Central Maluku Regency. There were 11 cases of dengue fever from 2022 to September 2023. Among them, there was 1 case of dengue fever in RT 002 Al-Muhajirin Hamlet, Tulehu Village, Salahutu District, Central Maluku Regency. The type of research used in this research is descriptive research to calculate the percentage of houses positive for Aedes aegypti and calculate the density of larvae in water reservoirs inside and outside people's houses in RT 002 Al-Muhajirin Hamlet, Tulehu Village, Salahutu District, Central Maluku Regency. The results of the research that has been carried out show that RT 002 Al-Muhajirin Hamlet, Tulehu Village, Salahutu District, Central Maluku Regency, the HI index has a Density Figure (DF) of 8 so it is in the high density category, while the CI Index has a Density Figure (DF) of 9 so it is in the high density category.

The population explosion resulted in a rapid rate of population growth which was caused by a lack of knowledge and patterns in the local community. Important aspects of population are: population size, population growth, population births, and population movements. This study aims to analyze the relationship between family support and the participation of women of childbearing age in the Family Planning (KB) program at the UPTD Puskesmas Kuta Baharu, Kota Baharu, Regency. This research used a quantitative method with a survey approach, involving 100 female respondents of childbearing age who were randomly selected. Data was collected through a questionnaire that measured the level of family support and participation in family planning programs. Data analysis was carried out using Pearson correlation statistical techniques to identify the relationship between family support and participation in family planning programs. The research results show that there is a significant relationship between family support and the participation of women of childbearing age in family planning programs, with a p value <0.05. These findings indicate that family support plays an important role in increasing women's participation in family planning programs. This research suggests that family planning programs should involve family members more in socialization and education to increase participation levels. 

Mathematics teaching and learning faces significant challenges, including the use of language as a communication tool. So the research was carried out to determine the use and correlation of language, especially Indonesian with and in learning mathematics. The scope of this research is the use of language in mathematics and the correlation between the two. This research uses a qualitative descriptive method with literature study. From the research, it was found that language and mathematics are positively correlated and language is used to describe mathematical concepts and to explain patterns, properties and relationships between mathematical objects.

The spread of infectious diseases has become a critical issue in public health, requiring effective mathematical models to understand and control their dynamics. This study aims to develop a mathematical model based on differential equations to analyze the transmission patterns of infectious diseases. By dividing the population into distinct compartments—susceptible, infected, and recovered—this model provides a framework to study disease progression. The methodology involves formulating a system of ordinary differential equations to represent interactions among these compartments, followed by numerical simulations to explore key parameters influencing disease spread. The findings reveal significant insights into the role of infection rate, recovery rate, and basic reproduction number in determining the outbreak's intensity and duration. These results highlight potential strategies for intervention, including vaccination and quarantine measures, to mitigate the impact of infectious diseases. The proposed model serves as a valuable tool for researchers and policymakers to predict and manage disease outbreaks, offering practical implications for public health planning.

In order to achieve production targets for fuel and petrochemical products to support national energy security, reliable equipment is needed to support the operation of petroleum processing refineries. Main equipment such as injection pumps must be able to adapt to the expected operational conditions. Check valve is one of the supporting components of injection pump reliability. Research was conducted to determine the velocity characteristics of two ball type check valve designs using Computational Fluid Dynamics (CFD) numerical simulations. In this research, three variations of pump stroke length were simulated, namely 25%, 50% and 100% with three variations of solid particle size, namely 200, 250 and 300 microns. The fluid that passes through the check valve is a solid-liquid mixture of catalyst and particles. The analysis carried out is by comparing the velocity values as well as the flow patterns produced for each variations used. The simulation results show that of all the variations tested, the model with a stroke length of 100% produces the maximum velocity. In addition, the size of solid particles is inversely proportional to fluid velocity and flow. From the results of this research, it was also found that model 2 has more potential for backflow towards suction, and also model 2 has more potential for clogging because particles that should flow stop inside the check valve.