The purpose of this research is to find out how motivation and work discipline influence the performance of employees at the Sorong City Post Office. This research is a quantitative research with a descriptive correlation approach, with the research population being all employees who work at the Sorong City Post Office, using a saturated sampling technique so that the sample used in this research is from the population, namely 26 who work at the Sorong City Post Office. This research data was obtained from questionnaires (primary), field observations. The research instrument uses validity tests and correlation tests. The results of this research show that the partial correlation value between work motivation and work discipline on employee performance is 0.838 in the strong category and the significance value is 0.000 <0.05. This shows that there is a significant positive relationship between work motivation and work discipline on employee performance, meaning that the more motivation and discipline, the higher the employee's performance.

This study aims to evaluate whether numerical results from IRE exams can accurately reflect students' overall spiritual comprehension. Through both quantitative and qualitative analysis, the study finds that relying solely on test scores is insufficient to assess students’ faith and spiritual insight. Significant differences in learning outcomes between schools suggest that variations in teaching methods and assessment systems contribute to these disparities. Interviews with students and teachers reveal that IRE exams, which tend to emphasize memorization, fall short in uncovering deeper understanding of religious values. In contrast, assessment approaches that are more relevant to everyday life, encourage reflection, utilize narrative methods, and observe student behavior are perceived as more effective. Therefore, an ideal model for assessing Islamic Religious Education should integrate both cognitive evaluation and spiritual reflection through a comprehensive, holistic approach. By combining written assessments with contextual inquiry, personal reflection, and behavioral observation, educators can gain a more accurate and authentic picture of students’ religious understanding. Such a multifaceted evaluation system not only enhances the relevance of PAI but also supports the formation of students who genuinely embody Islamic values in their daily lives.

This abstract discusses the history of the development of ushul which includes the role of influential figures and books in the discipline. The history of the development of ushul fiqh began from the beginning of the Islamic era to the modern era. This article aims to discuss the figures of ushuliyyah who have a role in compiling books that are the basis for understanding the principles of ushul fiqh. The research methodology used in reviewing this article is descriptive qualitative. This article also uses a library research approach, and data collection carried out in this article is carried out by reviewing or searching for sources from several journals, books, and research that has been done (both printed and electronic). Based on the results of the data analysis, it is known that the main figures of ushuliyyah have produced ushul fiqh books such as As-Syafi'i with the book "Al-Umm" Malik bin Anas with the book "Al-Muwatta", and Al-Sarakhsi with the book "Al-Mabsut" which is a general basis for understanding Islamic law. The development of ushul fiqh is also influenced by the thoughts and contributions of other figures whose works remain an important foundation in the study of ushul fiqh to this day.

This study aims to analyze the implementation of entrepreneurship education management in achieving independent students at MAN 2 Langkat. The research uses a qualitative method with a descriptive approach, employing data collection techniques of observation, interviews, and documentation. The findings show that the planning of entrepreneurship education at MAN 2 Langkat is designed with the aim of equipping students with practical skills and independence. This entrepreneurship program includes various practical activities such as Market Day and bazaar exhibitions, providing students with the opportunity to plan and manage their own businesses. The implementation of the program has proven effective in developing students' entrepreneurship skills, such as business planning, capital management, and product marketing. Evaluation of the entrepreneurship program shows positive impacts, with assessments focused not only on the final results but also on the processes students undergo, including initiative, responsibility, and teamwork. However, several aspects still require improvement, such as financial management and enhancing cooperation among students. Overall, this entrepreneurship program has successfully created independent students, ready to face the challenges of the business world.

This study aims to analyze the concept of riba in Islamic economic thought and its implications for financial stability in the contemporary era. The research employs a qualitative descriptive method by reviewing primary sources, including the Quran, Hadith, and scholars' fatwas, as well as secondary sources such as academic literature and previous research on riba and Islamic finance. The findings reveal that riba has a significant impact on economic instability and social inequality. Meanwhile, profit-sharing systems and other Islamic financial instruments offer sustainable solutions for maintaining financial stability. This research contributes to the understanding of Islamic economic principles and their practical application in addressing modern financial challenges.

KKN activities in Sumberarum Village Hamlet II are directed at realizing a more religious, clean, and creative village. The main issues identified were the lack of community participation in religious activities, lack of awareness of the importance of environmental hygiene, and limited economic opportunities for the community. The research objectives include increasing community participation in religious activities, increasing awareness of the importance of environmental cleanliness, empowering the community through handicraft training, and encouraging young children to recognize themselves. The research methods used include observation, interviews, documentation, and evaluation. The programs carried out include religious competitions in the month of Muharram, mutual cooperation for environmental empowerment, self-introduction education for kindergarten children, making signposts for the kadun, RT / RW, and mosque, and training in making handicrafts from palm trunks. The results of these activities show an improvement in the quality of community life, among others reflected in the increased participation in religious activities, the realization of a cleaner and more organized environment, and the growth of community interest in developing handicraft businesses. In addition, educational activities for kindergarten children also have a positive impact on child development.

Achievement of Complete Basic Immunization (IDL) in eleven Indonesian provinces in 2022 is still below the national target of 90%. The eleven provinces in question are West Sulawesi, Southeast Sulawesi, Maluku, East Nusa Tenggara, North Kalimantan, Riau, West Kalimantan, West Papua, West Sumatra, Papua and Aceh.The type of research used in this research is descriptive observational research. The data used in this study is secondary data, namely monthly reports on the results of routine immunizations for babies. It was found that the majority of basic immunization coverage for babies born in January 2022 was higher than for babies born in January 2023. Coverage for basic immunization types for babies was highest in 2022. (73.3%) was obtained from Hepatitis B, BCG, and Polio 1 immunization. The highest coverage of basic types of infant immunization in 2023 was obtained from Hepatitis B immunization (73.3%). Hepatitis B immunization received a high score for babies born in January 2022. Coverage of basic immunization types for babies born in January 2022 for types DPT-HB-Hib 1, 2, 3, Polio 2, 3, 4, received 36.7% -73, 3%, and Measles-Rubella got 33.3%. The frequency of immunization against PVC-1 (23.3%), RV-1 (6.7%), and IPV-1 (13.3%) is still low due to not visiting posyandu and giving immunizations past the immunization deadline. The average value of basic immunization coverage for babies born in January 2023 (10%) is lower than babies born in January 2022 (43.3%) with a difference of 33.3%.

The Pukun Kuala Tanjung rice factory is a rice factory located in Pematang Tobat village, Sei Suka subdistrict, Batubara district. The Pukun Kuala Tanjung rice factory has been operating for fifteen years in milling rice into rice. In operating the Pukun Kuala Tanjung rice factory, it can produce 25 tons of rice/week. In carrying out the rice production process at the Pukun Kuala Tanjung rice mill, we often find that the rice produced does not match the quality of production, including the color of the rice being less than good (yellow), rice that is not peeled and crushed, which can lead to a decrease in the quality for sale and even unsalability. rice on the market so that the Pukun Kuala Tanjung rice factory experiences losses in producing rice. The aim of this research is as follows: to know how to control the quality of rice using the SQC (Statistical Quality Control) method, to find out the quality of rice produced by the Pukun Kuala Tanjung rice factory is still in good condition. controlled or not. This research uses descriptive quantitative research both when collecting and processing data where the data collected is data on defective rice products and data processing will be carried out using the SQC (Statistica Quality Control) method. From the data processing that has been carried out in this research, the author draws the following conclusions: Rice quality control using the SQC (Statistical Quality Control) method can be seen as follows: Based on the control chart, it is known that defective products are not within the upper control limits (Upper Control Limit) and Lower Control Limit which can mean that a defective product requires repairs to be made to the defective product.

This study aims to describe and analyze the Choreography of Maikek Kain Dance at Langkisau Studio in Kenagarian Painan Timur, District IV Jurai, South Pesisir Regency. This type of research is qualitative research using a descriptive method. The research instrument is the researcher himself and is assisted by supporting instruments such as tulsi tools and mobile phones. The data of this study uses primary data and secondary data. Data was collected through literature studies, observations, interviews and documentation. The steps of analyzing data are collecting data, describing the data and inferring the data. The results of the study show that the Maikek Kain Dance has 3 parts, including the beginning as the opening of the dance, the middle part, and the final part as the climax. In this Maikek Kain dance, there are elements of dance composition consisting of; movement, floor design, group composition, top design, dancers, music design, costumes and makeup and props. The movements that the choreographer worked on were taken from the recreated cloth dance. This dance work also looks very interesting with various floor patterns and group compositions so that the audience does not get bored in watching the performance and the dancers who master strong movements and movements. The costume used in the Maikek Kain dance is a simple costume. This Maikek Kain dance raises the theme of Minangkabau women and is taken from the cloth dance and created by music that accompanies the dancers' movements using a fast tempo to the end of the dance with singing drums. The property used in the Maikek Kain dance is the clay cloth.

With the exponential growth of social media platforms, vast amounts of data are generated daily, capturing public opinions, sentiments, and trends in real time. Automatic sentiment analysis using Natural Language Processing (NLP) has emerged as an essential tool to process this data, helping industries, researchers, and policymakers understand social sentiment more effectively. This study explores various NLP techniques for sentiment analysis, including machine learning-based, lexicon-based, and deep learning models. By examining advancements in NLP algorithms and challenges related to language diversity, slang, and context in social media data, this paper highlights the strengths and limitations of current methodologies and discusses potential future directions.