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The supremacy of knowledge plays a central role in building Islamic civilization, both in classical and modern eras. This study aims to analyze the values of the supremacy of knowledge based on the perspectives of the Qur’an, Hadith, and the thoughts of classical scholars such as Al-Ghazali, Ibn Khaldun, and Al-Farabi. Additionally, this research explores the relevance of knowledge in addressing the challenges of globalization and the dynamics of the digital age. Using a descriptive qualitative research method, primary data consisting of Qur'anic verses, Hadith, and classical scholars' works are combined with secondary data, including books on the history of Islamic civilization, scholarly articles, and contemporary references. The research findings indicate that knowledge is regarded as the main pillar in building a civilization rooted in Islamic values. The Qur’an and Hadith explicitly position knowledge as both an obligation and a path to the glory of individuals and society. The thoughts of classical scholars highlight the importance of integrating religious knowledge and general knowledge to create a balance between worldly and spiritual happiness. In the modern era, the supremacy of knowledge remains relevant as a tool to address the challenges of globalization, particularly through the use of technology and innovation based on Islamic values. This study concludes that the synergy between religious knowledge and modern science can shape a progressive and morally upright Islamic civilization. Knowledge not only serves as a medium for social transformation but also as a spiritual foundation for building a resilient Muslim identity in the contemporary era. The relevance of the values of the supremacy of knowledge provides a strategic guide for Muslims to contribute to global civilization without losing the essence of Islam.

This study examines the virtues of knowledge and the classification of education based on the perspectives of two prominent Islamic scholars, Al-Ghazali and Ibn Qayyim, grounded in the framework of the Qur'an and Hadith. Islam assigns a distinguished position to knowledge, as reflected in Qur'anic verses such as Al-Mujadilah 11, which promises elevated ranks for those who believe and possess knowledge, and the supplication for increased knowledge in Thaha 114. In Hadith, knowledge is likened to beneficial milk that must be shared with others. Al-Ghazali emphasizes the importance of knowledge as a path to happiness in both this world and the hereafter, while Ibn Qayyim highlights the role of knowledge in drawing closer to Allah and shaping a complete human character. This research employs a literature review method to explore the concepts of the virtues of knowledge and education in Islam through the perspectives of Al-Ghazali and Ibn Qayyim. The findings reveal that both scholars present complementary views on the value of knowledge as an act of worship that brings one closer to Allah SWT, while categorizing knowledge based on its benefits for individuals and society. This study underscores that seeking knowledge is an obligation for every Muslim and a path to paradise, as affirmed in the Qur'an and Hadith. These findings provide valuable contributions to the development of Islamic education, particularly in instilling the virtues of knowledge in modern educational curricula.

This study examines the philosophical thoughts of Rahmah El Yunusiah, a prominent female reformer in Islamic education in Indonesia, focusing on the transformation of Islamic values. The primary focus is on the application of Islamic values in the educational practices at Diniyyah Putri, the Islamic educational institution she founded. A qualitative approach with a literature study method was used to explore Rahmah El Yunusiah's thoughts through her works, historical documents, and institutional archives. The findings reveal that her educational philosophy emphasizes the formation of Islamic character, the development of knowledge based on tauhid, and the empowerment of Muslim women through education. The transformation of Islamic values is reflected in a holistic curriculum, the integration of religious and general sciences, and the cultivation of noble character as the foundation of education. These contributions provide new insights into the relevance of value-based Islamic education in the modern era, particularly in the context of women's education. This study recommends developing educational models that contextually adopt Islamic values to address globalization challenges.

Expert systems are one type of computer technology that is being used by a used in the medical field to assist physicians in patient examinations is expert systems.The goal of this is to improve patient care both now and in the future.system with expertise  is an application that replicates how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.    

This research aims to develop an expert system that can diagnose diseases related to brain tumors using the Case Based Reasoning (CBR) method. The CBR method works by comparing new cases with previous cases that have been stored in the database to provide appropriate diagnoses and treatment recommendations. This system is designed to assist medical personnel in analyzing patient symptoms, thus speeding up the process of identifying the type of brain tumor. In addition, the system is also equipped with a knowledge base obtained from real cases that have been validated by medical experts. Test results show that the diagnostic accuracy of this system reaches a fairly high level, especially in detecting frequently encountered types of brain tumors. Thus, this system has the potential to be an effective tool in the medical diagnosis process, especially in patients who show symptoms of brain tumors.

This research aims to develop a web-based expert system with the Forward Chaining method that can diagnose and provide treatment for people with stroke disease. The expert system will be used to help the diagnosis process by analyzing the symptoms reported by the patient. The Forward Chaining method will be used as an inference approach in this expert system. The system will use a knowledge base that contains medical rules obtained from experts. The inference process will be carried out by linking the symptoms reported by the patient with the information in the knowledge base to determine possible diagnoses and appropriate treatments. This expert system will be implemented in the form of a web-based application that can be accessed by the general public. The results of this study show that the expert system to diagnose and provide treatment using the forward chaining method is successfully built and the application can be used to help the general public diagnose by entering the symptoms felt and the expert system will provide diagnostic results and provide treatment.

An expert system is a computer program that imitates the decision-making abilities of an expert in a particular field. This system uses a knowledge base and logical rules to analyze problems and provide solutions or recommendations, helping users who do not have in-depth knowledge of the topic, then along with the development of website-based information technology which can make it easier to identify student interests, talents, especially grades 4 and 5 carried out by the teacher, this includes the potential of each individual student according to their category so as to provide an accurate solution. The aim of this research is that an application of an expert system for identification of talent interests for users is needed which supports the teacher analysis process using certainty factors, based on certainty factors which have a concept based on symptoms and diagnoses from the weight of an expert's value and the user's value, then calculated using the certainty factor formula, the output research on the creation of an expert system for identifying student talent interests using a website-based certainty factor method which produces diagnostic results for talent interest categories.    

Kucing adalah hewan peliharaan populer yang sering kali rentan terhadap berbagai penyakit. Ketidakmampuan pemilik untuk mendiagnosa penyakit kucing secara tepat waktu sering kali mengharuskan konsultasi dengan dokter hewan yang sebagian besar hanya tersedia di perkotaan. Penelitian ini bertujuan mengembangkan sistem pakar berbasis web menggunakan metode Forward Chaining dan Certainty Factor untuk membantu mendiagnosa penyakit pada kucing. Metodologi pengembangan sistem ini mencakup tahap persiapan, prototyping, dan penyelesaian. Pada tahap persiapan, masalah dirumuskan dan wawancara dengan dokter hewan dilakukan untuk membangun knowledge base. Tahap prototyping melibatkan pembuatan mesin inferensi dan knowledge base, sementara tahap penyelesaian meliputi implementasi sistem ke dalam antarmuka pengguna berbasis web menggunakan PHP dan framework Laravel. Hasil uji sistem menunjukkan konsistensi tinggi dengan hasil diagnosa manual menggunakan Excel. Sebagai contoh, diagnosa penyakit Virus Panleukopenia memiliki nilai certainty factor sebesar 94,62% pada aplikasi, sementara perhitungan manual menunjukkan 95,21%, dengan perbedaan hanya 0,41%. Hal ini menunjukkan bahwa sistem pakar yang dikembangkan mampu memberikan diagnosa yang cepat dan akurat. Kesimpulannya, sistem pakar berbasis web ini dapat diandalkan untuk mendiagnosa penyakit kucing dan membantu dokter hewan serta pemilik kucing melakukan diagnosa awal dengan lebih efisien.

Anemia is one of the problems in adolescents in Indonesia. Anemia is more common in female adolescents than male adolescents. The purpose of this community service activity is to determine the level of adolescent knowledge about anemia and the importance of preventing anemia. The methods in community service activities include providing pretests and posttests, health education about anemia, the importance of preventing anemia. Community service activities use media in the form of leaflets, powerpoint presentations and videos. Knowledge measurement with questionnaires. This activity was carried out at Mts Al-Muhajirin Ambon class IX with 45 students. The results of the activity showed an increase in knowledge based on the results of the posttest, namely 73.4% of students had good knowledge about anemia. In conclusion, health education for adolescents through leaflets, powerpoint presentations and videos can increase knowledge for adolescents at Mts Al-Muhajirin Ambon. This activity needs to be improved by coordinating with the school and local health center to carry out continuous follow-up activities. The need for the formation of peer groups or health information corners at schools in increasing efforts to prevent anemia in adolescents.

This research aims to analyze the difficulties of fourth grade students at SDN Mekarjaya 14 in solving mathematics story problems. This research uses qualitative research with an inductive method. This research aims to gain knowledge based on correct and reliable data and facts about students' mathematics learning difficulties in the form of story problems. The research instrument used was observation of test questions in the form of stories. The technique for checking the validity of the data is using triangulation. Based on the results of observations, there were still many respondents who made mistakes in working on the questions, including mistakes in changing story questions into mathematical sentences and using arithmetic operations. In general, students have difficulty working on story problems which are presented in the form of story problems. Apart from that, respondents also did not master multiplying results up to 100. In accordance with findings in the field, it can be concluded that there were difficulties experienced by respondents, including difficulties in understanding concepts and material,master and use arithmetic operations, for example multiplication and division. Meanwhile, the factors that caused respondents to experience difficulty learning mixed arithmetic operations included their lack of mastery of the concepts of multiplication and division, and the lack of time provided by respondents to repeat lessons at home.    

An expert system is artificial intelligence that imitates the ability of an expert to solve problems in a certain domain. Utilizing a knowledge base and specified rules, the expert system provides advice or decisions that approach human expertise in this specific field, especially regarding cholesterol disease for teenagers, cholesterol disease can cause death in a person so it needs initial treatment as a diagnosis. In this regard, an expert system application is needed to diagnose cholesterol disease for users which supports the diagnosis process using the certainty factor method, based on the certainty factor which has a concept based on symptoms and diagnosis from the weight of an expert's value and the user's value, then calculated using the certainty factor formula, The final result is the creation of an expert system application for diagnosing cholesterol disease using a website-based certainty factor method.

Artificial food additives pose significant health risks to Gulf Cooperation Council (GCC) citizens despite regional authorities' extensive medical, legislative, and technological efforts. Literature highlights the detrimental impacts of these additives, including malnutrition, digestive disorders, respiratory problems, skin issues, hives, nausea, diarrhea, shortness of breath, allergic reactions, high blood pressure, and tumors. The research project at hand aims at becoming the first official and comprehensive mobile application of its own in the GCC region that manages the calculation and demonstration of an up-to-date health and legal knowledge base of the impacts of artificial additives, enhances the awareness, automatically recognizes the artificial additives, and provides alternative solutions, for both android and IOS mobile platforms. This research project introduces "Weqaya," a pioneering mobile application designed to manage, educate, and raise awareness about the effects of artificial additives. Weqaya provides real-time health and legal information, identifies additives, and suggests alternative solutions for Android and iOS platforms. The project employs an Agile-based SDLC model to explore, develop, and evaluate the food additive phenomena in Weqaya. The application's usability evaluation scores a promising 95.21%, indicating its potential utility for GCC health ministries, dietitians, academics, researchers, and food producers in enhancing knowledge and promoting non-artificial food options.

Knowledge results from knowing and occurs when someone senses a particular object. Dagusibu (Get Use Save and Throw Away) is a health education program created by IAI (Indonesian Pharmacists Association) to create a Drug Aware Family Movement as a concrete step to improve the quality of life of the community. This research aims to determine the level of community knowledge about Dagusibu Medicine in Salubomba Village, Central Banawa District, Donggala Regency based on age, occupation, and education. The type of research is descriptive research. The population of the study is all people who live in Salubomba Village, Central Banawa District, Donggala Regency. The sample used was 94 people with each hamlet representing 19 people. The sampling technique uses purposive sampling. The results of the research showed that the level of public knowledge about Dagusibu Medicine in Salubomba Village was 39 respondents with poor knowledge, 51 respondents with sufficient knowledge, and 4 respondents with good knowledge. So, it can be concluded that the level of knowledge of the people in Salubomba Village has an adequate level of knowledge about Dagusibu Medicine. The conclusion that can be drawn is that the level of public knowledge about Dagusibu Medicine is sufficient knowledge, namely the level of public knowledge based on age level with less knowledge is 41.42%, based on occupation, less knowledge is 41.42%, and based on education, less knowledgeable is 41.48%.