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Journal : AIQU: Journal Multidiscipliner of Science

Implementation of the Project Based Learning Model in the Independent Curriculum in Islamic Religious Education Learning for High School Students Rahim, Abdul; Khatimah, Nurul
AIQU: Journal Multidiscipliner of Science Vol. 1 No. 1 (2023): MARCH, AIQU: Journal Multidiscipliner of Science
Publisher : Institute Journal and Publication Muhammadiyah University of Buton

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Abstract

This research has a number of populations. The population of this study were teachers and students of Class X 1 Senior Highschool 4 Baubau. The population of Islamic Religious Education teachers is 1 person and Student X 1 is 33 people with a total population of 34 people. Because the population of this study did not reach 100 research subjects, the entire population was the object of this research. This research is qualitative research, so in collecting data researchers used observation, interview and documentation techniques. Thus, in data analysis, researchers use qualitative analysis, namely deductive, inductive and comparative thinking. The results of this research show that: 1) the project-based learning planning model for class X 1 Senior Highschool 4 Baubau was well designed by the teacher so as to create interesting and colorful learning; 2) the project-based learning implementation model for class 3) the project-based learning evaluation model for class X 1 Senior Highschool 4 Baubau was created by the teacher using evaluation tools adapted to the learning objectives to be achieved.
Analysis of Zakat Distribution Patterns of National Zakat Collection Institutions Arif, Aisa; Khatimah, Nurul; Masyita, Waode Zehan
AIQU: Journal Multidiscipliner of Science Vol. 3 No. 1 (2025): MARCH, AIQU: Journal Multidiscipliner of Science
Publisher : Institute Journal and Publication Muhammadiyah University of Buton

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Abstract

This study aims to analyze the distribution patterns of zakat in Indonesia using an Islamic Statistics approach as the analytical framework. Islamic Statistics is understood as a quantitative method grounded in Sharia values, particularly emphasizing justice and public welfare. The data were obtained from the annual reports of national zakat management organizations (BAZNAS and Dompet Dhuafa) for the period 2020–2023 and analyzed using descriptive statistical methods. The results show that zakat distribution remains concentrated on two primary asnaf categories the destitute and the poor with most funds allocated to the Greater Jakarta area (Jabodetabek). In contrast, the eastern regions of Indonesia and other asnaf categories, such as riqab and ibnu sabil, receive minimal attention. This imbalance indicates the need for a more equitable, data-driven zakat distribution system. The Islamic Statistics approach presented in this study offers a new perspective for more just and effective zakat distribution decision-making. These findings serve as a foundation for the future development of digital zakat management systems based on maqashid shariah principles