Happiness is one of the natural attitudes of humans when getting a lot of pleasure from Allah SWT, such as health and sustenance. However, not many of humans are correct in responding to these blessings, pleasures that are not properly addressed are termed istidraj. Istidraj is a punishment given by Allah SWT to the perpetrators of immorality in the form of worldly pleasures that seem beautiful but cause negligence in the real world. Therefore, it is necessary to be aware of istidraj as a sign of caution in order to avoid immoral acts. The phenomenon  of istidraj in this study explores the concept of this in the Qur'an through the perspective of two mufasirs, namely al-Imam al-Qurtubi and Wahbah al-Zuhaily in answering 2 focuses, namely: 1. How to interpret istidraj in the Qur'an according to al-Imam al-Qurtubi and Wahbah al-Zuhaily 2. What are the similarities and differences between al-Imam al-Qurtubi and Wahbah al-Zuhaily regarding istidraj. To understand the concept of the istidraj phenomenon, this study applies a qualitative method of literature study with a comparative study approach. In this approach, the researcher compares the interpretation of al-Imam al-Qurtubi through the tafsir "Al-Jami' li al-Ahkam al-Qur'an" with the interpretation of Wahbah al-Zuhaily through the tafsir "Al-Tafsir al-Munir". The researcher examined the interpretation data from the two mufasirs related to the concept of istidraj. A comparative approach is used to gain a deeper understanding and see the differences and similarities in the views of the two towards istidraj. As for the results of this research, al-Qurtubi sees istidraj as a gradual punishment process for those who deny the verses of Allah SWT. Wahbah al-Zuhaily sees it as a gift of favor or success. Both mufasirs agree that istidraj involves giving pleasure as a test of Allah. The difference in interpretation lies in the context of the object  of istidraj. al-Zuhaily emphasizes his interpretation on the test of a servant, while al-Qurtubi emphasizes the interpretation of istidraj on slow withdrawal as punishment.

This study explores the fatwa of Sheikh Muhammad Arsyad Al Banjari in the book Sabilal Muhtadin regarding the permissibility of eating haliling (field snails) and the prohibition of eating anak wanyi (bee larvae) with a focus on the health perspective. Sheikh Muhammad Arsyad Al Banjari stated that snails are halal food, while bee larvae are considered haram. This study uses a literature study method to analyze the legal basis and health implications of both types of food. The results of the study indicate that snails can be safely consumed if processed properly, because snails are rich in protein and nutrients, but require special attention in processing to avoid the risk of infection from parasites or bacteria. Conversely, consuming bee larvae can pose health risks such as allergic reactions and dangerous toxins, and can have a negative impact on the bee population and ecosystem. The conclusion of this study emphasizes the importance of understanding fatwas from a health and ethical perspective, as well as the need for education regarding food processing practices that are in accordance with sharia principles and modern health standards.

This Community Service aims to provide assistance to the people of Karangtawar Village, especially farmers, by providing training in digital marketing, packaging and branding of existing agricultural products. The method used is Participatory Action Research (PAR) where in our actions we involve the community so that solutions to existing problems can be identified. The results of Community Service are Digital Marketing training in the form of: Creating Social Media Facebook, Instagram and e-Commerce Platforms such as Shopee, Lazada. Packaging takes the form of: product packaging that is more attractive than before in order to increase sales results and people's income. Branding takes the form of: creating a brand logo for agricultural products using the CANVA application to be implemented in Karangtawar Village, Laren District, Lamongan Regency.

The rapid development of technology increases the need for effective and efficient information. Information that is not managed properly loses value, especially when large amounts of data are available, making conventional methods no longer adequate to analyze the potential of the data. Therefore, a system capable of analyzing, summarizing, and extracting data into useful information is required. The Department of Agriculture and Food Security, as an agency that handles food security, agriculture, animal husbandry, animal health, and fisheries, is responsible for supporting the increase in agricultural yields to meet the food needs of the population and encourage economic growth. To achieve this goal, the agency needs to utilize technology to process agricultural data quickly and accurately. The system built using the apriori method can analyze data efficiently and provide recommendations for increasing agricultural yields. Based on the test results, a support value of 9% and a confidence of 68% were obtained, with the rule If the crop is Cassava, then the production yield is 6000-8000 tons.

Land and Building Tax (PBB) is a type of area regulated by the government in determining the amount of tax for implementation and development as well as increasing the prosperity and well-being of the people. Based on taxpayer compliance data in Tanjung Keliling Plantation, the results of tests carried out using the Clustering algorithm can determine the variables of ownership area, hamlet name and payment level. Clusters 1,2,3 of 600 PBB taxpayer data, namely where cluster 1 has 166 data, can be grouped based on the Ownership Area of "500,001-600,000m2" with the Hamlet Name "Ujung Bangun" and the Payment Level "Quite Good". Cluster 2 consists of 196 data, which can be grouped based on ownership area "200,001-300,000m2" with the hamlet name "Karang Jati" and payment level "fairly good".  And Cluster 3 with a total of 238 data, can be grouped based on the Ownership Area "400,001-500,000m2" with the Hamlet Name "Mojosari" and the Payment Level "Quite Good".

Handling of dental disease problems requires that it be handled quickly and correctly, but not all teams of dental experts can carry out treatment quickly due to the lack of a team of dental experts who are in the workplace or hospital 24 hours a day.  Apart from that, the public also has very little knowledge of information about dental disease, so that to treat dental disease, people have to consult a dentist. To classify images of dental disease, feature extraction is needed. Feature extraction is taking characteristics of an object that can describe the image. One example of image feature extraction used is Red, Green, Blue (RGB). This feature extraction is often used to identify or classify an image. Dental image data that will be used in the classification process are tooth abrasion, anterior crosbite, cavities and gingivitis. K-Nears Neigbor is the simplest data mining algorithm.  The aim of this algorithm is to find the results of the closest distance classification for each object.  In determining the distance, the data is initially divided into two parts, namely training data and testing data. After receiving the training data and testing data, the distance from each testing data (Equilidence Distance) to the training data is calculated. The K-Nearest Neighbors method can be applied to classify dental disease based on images of types of dental disease using Matlab software. As a result of the image data training process, 40 image data were input, training results obtained were 100%.

This research is intended to identify the effects of nitrogen fertilizer on fresh production., dry material production  (DM ), organic mater production  ( OM ) crude pretein (CP) fodder mayze (zea  mays). This research was carried out in the field lab of animal science departemen, Faculty of health and science, University Nusamara PGRI Kediri. research design in this study use a complete random design 4 treatment with 5 replicated. Treatment use concentration nitrogen fertilizer (T0 = 0 ml / l) ,( T1 =0.8 ml / l ), (T2 =1.6 ml / l ), (T3 =2.4 ml / l ). Studies show that different levels of nitrogen fertilizer can affacted to DM production (p < 0.01 ), OM production (p < 0.01 ) and CP production (p < 0.01) maize fodder (zea mays ).The conclusion of this study is that the use of different doses of nitrogen fertilizer has an effect on the production aspect of maize fodder (Zea mays )

Hyperthermia is a condition characterized by symptoms such as dehydration, muscle spasms, dizziness, weakness, nausea, vomiting, and fatigue, which can harm the patient's condition. The causes of hyperthermia can vary, ranging from lack of fluids to excessive physical activity. RSU Putri Bidadari has doctors who are experts in treating various diseases, including hyperthermia. However, several obstacles often occur in the direct consultation process, such as long queues, long distances, limited time, and costs. Therefore, a technology-based system is needed that is able to manage hyperthermia symptom data and help diagnose the disease early, so that patients can get information and early treatment quickly. This method is used to manage the symptoms selected by the patient to determine the possibility of the disease with a high level of confidence. Based on the analysis of the selected symptoms, this system is able to produce the most accurate diagnosis with the case of hyperthermia type Heat exhaustion, with a confidence level of 50.26%.

Epilepsy, or apoplexy, is a chronic disease characterized by recurrent seizures and impaired consciousness due to disorders of the central nervous system. In developing countries, including in RSU Putri Bidadari, epilepsy management is often hampered by high consultation costs, resulting in suboptimal quality of treatment and patient recovery. To overcome this challenge, a system is needed that can facilitate the diagnosis and treatment of epilepsy more efficiently. By using this method, RSU Putri Bidadari can improve the precision of epilepsy diagnosis and determine more appropriate treatment steps, despite limited resources. The Bayes method, as a statistical approach, offers a potential solution to improve the accuracy of diagnosis through data-based probability estimation of diseases and symptoms reported by patients such as frequent hunger, thirst, urination, weight loss, vaginal infections, easy fatigue, tingling legs, and blurred vision. The analysis results of the system show an estimated probability of 73% for patients suffering from generalized epilepsy. The Bayes method-based system is expected to help RSU Putri Bidadari in providing more effective treatment and improving the overall quality of life of epilepsy patients.

The Internet of Things (IoT)-based automatic bell system is designed to enhance the efficiency of bell operations in educational institutions by utilizing modern technology. This research aims to develop a system that can control the bell automatically according to the class schedule, while also enabling remote control via a mobile application using the Blynk platform. The system is built using an ESP8266 as the main microcontroller, a DFPlayer Mini module for audio playback, and an RTC DS1307 for time management. The results show that the system functions as expected, both in automatic mode based on the schedule and in manual mode through the mobile application. Testing and debugging demonstrated that integration with WiFi networks allows for flexible and effective bell control. For further development, it is recommended to add a power backup feature, web interface, and push notifications to improve system reliability and flexibility. This system provides an efficient and practical IoT solution for automating bell operations in educational environments.