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Kontribusi BAZNAS dalam Meningkatkan Kesejahteraan Masyarakat Melalui Penanganan Kemiskinan Di Kabupaten Enrekang Kamariah, Kamariah
Jurnal Ilmiah Ekonomi Islam Vol. 10 No. 3 (2024): JIEI : Vol.10, No.3, 2024
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v10i3.14597

Abstract

Abstract This research was conducted to determine the level of Baznas' role or contribution to improving community welfare in order to assist sustainable development goals in Enrekang Regency in terms of the programs and policies that Baznas Enrekang has implemented so far in managing zakat funds. The method used in this research is a qualitative method and a descriptive analysis approach model with the acquisition of managed data, namely secondary data or in the form of program reports in institutions or the National Amil Zakat Agency in Enrekang Regency and other policies as well as data sourced from the Enrekang Regency Baznas website owned or the website of the central Baznas or the website of the SDGs program itself, apart from that secondary data was also used which was obtained through direct or indirect interview techniques with respondents, observations and literature reviews were also carried out from other sources. The results of this research show that the contribution of Baznas Enrekang Regency in realizing sustainable development programs (SDGs) in terms of community welfare, especially handling poverty, is seen as quite significant in organizing social order, especially for the poor, where the distribution program carried out is divided into two categories, namely distribution. given to Muztahik, namely consumptive distribution and a productive distribution model. These two distribution models are equally given to those who fall into the Ashnaf category or those who fall into the poor category and are very deserving of receiving assistance, both consumptive and productive. Things like this are carried out by Baznas from the Regional or Regency level to the village level where there is a UPZ office or Zakat Collection Unit.
ImageStat EDU: Developing an interactive digital image-based tool for statistical visualization and learning Ruslau, Maria Fransina Veronica; Nurhayati, Nurhayati; Pratama, Rian Ade; Kamariah, Kamariah
Al-Jabar: Jurnal Pendidikan Matematika Vol 17 No 3 (2026): Al-Jabar : Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/

Abstract

Purpose: This study aimed to develop and preliminarily evaluate ImageStat EDU, an interactive digital image-based tool designed to support statistical visualization and learning, particularly in descriptive statistics, histogram interpretation, and introductory probability distributions.Method: The study employed a Research and Development approach using the ADDIE model. Product evaluation involved three expert validators representing mathematics/statistics content, instructional media and ICT, and pedagogy, followed by a small-scale implementation with 15 undergraduate mathematics education students enrolled in a statistics course. Data were collected using expert validation sheets, a user response questionnaire, and pretest–posttest assessments. Expert and student responses were analyzed descriptively, while changes in student performance were examined using a paired-sample t-test, a Wilcoxon signed-rank test, and Cohen’s.Findings: Expert evaluation showed substantial improvement following prototype revision, with the final overall evaluation reaching 96.67%. Students also reported high perceived practicality and usefulness, with an overall response of 92.00%. The mean score increased from 36.88 on the pretest to 65.17 on the posttest, with a large within-participant effect size ( ). Parametric and nonparametric analyses consistently indicated higher posttest performance. However, these findings represent preliminary changes within a small, uncontrolled sample and should not be interpreted as evidence of causal effectiveness.Significance: ImageStat EDU demonstrates the potential of using image-derived pixel data to connect visual information, numerical summaries, histograms, and distributional representations within an interactive statistics learning environment. The study provides preliminary evidence supporting further investigation of image-based statistical exploration in mathematics teacher education using larger and comparative research designs.