Activities to develop economic independence through making DIY dishwashing soap and detergent were carried out in Marga Bakti January 2025 as an effort to improve community skills in utilizing local resources. This program aims to provide practical training that can be applied independently by the community to create small business opportunities based on household needs. Implementation methods include theoretical explanations, manufacturing demonstrations, and group practice, accompanied by intensive mentoring. The results of the activity show that participants are able to produce quality soap and detergent independently, which has the potential to increase family income while reducing dependence on commercial products. This program is expected to be the first step in building a sustainable and community-based economy in Marga Bakti Village.

Employee performance plays an important role in the success and sustainability of the company. Effective management of employees is the key to achieving organizational goals, and factors affecting employee performance have become a major concern in human resource management. Although many studies have been conducted with respect to these factors, there are variations in results and findings. And those who study the factors of delegation, authority and responsibility for employee performance have not been many. So the title of this study is to study the Influence of Delegation, Authority, Responsibility on Employee Performance. This study uses a survey method of a sample of employees from various levels of hierarchy in Agency "X". The data collected is then analyzed using statistics i.e. by multiple regression analysis. The results showed that a higher level of delegation from superiors had a positive impact on employee performance. It was also found that clear authority and well-defined responsibilities contributed positively to employee performance. It can be concluded that the independent variables tested, namely delegation, authority, and responsibility, have a significant influence on the performance of employees in organization "X". Furthermore, policies and practices that support more effective and efficient management of human resources, including management training that understands the importance of delegation and the granting of appropriate authority, can be applied to the organization of "X" and other organizations.

The Koran is one of the holy books that Allah revealed to humans. The purity of the Koran will always be preserved until the end of time. The maintenance of the purity of the Qur'an cannot be separated from the innovations created by the Rasyidin Khulafa'. This research aims to reveal the innovations and ideas of the Rasyidin khulafa' in maintaining the originality of the Koran. The results of the study show that the innovation of the Rasyidin khulafa' in maintaining the originality of the Qur'an was realized in the form of unification and codification of the Qur'an in one mushaf during the time of the caliph Abu Bakr, re-codification of the Qur'an, copying it into several manuscripts and Uniformizing the punctuation of the Qur'an during the time of Caliph Usman bin Affan and giving honors (lines) to the Qur'an during the time of Caliph Ali bin Abi Talib. It is hoped that this study can provide motivation to scholars and ulama in particular and Muslims in general to continue to innovate in Al-Qur'an studies so that Islamic teachings originating from the Al-Qur'an are felt to be relevant for all times and generations and can provide solutions. to the problems faced by the people.

There are problems that still exist in online learning including limited-reach networks, inadequate facilities and infrastructure, and others. This study discussed the analysis of sentiment which used the Na ve Bayes Classifier (NBC) method with XGBoost feature selection as a performance improvement that took data from news portals. The results of this study showed that graph data on the application of online learning forms in Indonesia had a "Negative" opinion. Performance testing of the NBC method based on XGBoost feature selection was conducted four times. The first experiment resulted in an accuracy value of 60.18% with 50/50 split data. The next experiment had an accuracy value of 56.92% with 70/30 split data. After that, the third experiment resulted in an accuracy value of 65.90% with 80/20 split data. The result of the last experiment was an accuracy value of 63.63% with 90/10 split data. After using XGBoost feature selection, it produced an accuracy of 60.18%, 67.69%, 70.45%, and 77.27%. The study also produced the highest average score at 10-Fold Cross-Validation in the second trial with a score of 65.62%.