THE EMPOWERMENT MODEL OF CASH WAQF TO IMPROVE EDUCATION QUALITY IN ZAKAT INSTITUTIONS

Penulis

  • Sri Herianingrum Department of Sharia Economics-Faculty of Economics and Business Universitas Airlangga image/svg+xml
  • Tika Widiastuti Department of Sharia, Economics-Faculty of Economics and Business, Universitas Airlangga image/svg+xml

DOI:

https://doi.org/10.30659/ijibe.1.1.53-65

Abstrak

Islam has many solutions in addressing the issue of limitations in education. That is cash waqf. Cash waqf, is expected to narrow the gap between rich and poor society by means of transfering of wealth (the profits from managing cash waqf) from rich to poor. The purpose of this study is to analyze the cash waqf empowerment model in an effort to improve the quality of education. The method is done by in depth-interview with the boards (Leader and Manager program) of Yatim Mandiri, administrators of YKN (Independence Nusantara Foundation), and the staffs of Insan Cendekia Mandiri Boarding School. Limitation of this paper is to investigate the three institutions of zakat mentioned earlier. The results showed that waqfin the form of movable or immovable objects can be utilized and provide benefits to the society. The role of waqf, especially in improving the quality of education, is still limited to the purchase of land. The land is used for institution building of Insan Cendekia Mandiri Boarding School. There is a model of cash
waqf empowerment in the institution of zakat (Yatim Mandiri) that can be replicated in other institutions of zakat. The structure of this paper are: Section 1 describe the development of cash waqfin Indonesia; Section 2 is literature review about cash waqf; Section 3 explain the research model used in this paper; Section 4 is discussion; and the last Section 5 is the authors conclusion and authors recommendation to improve the empowerment of cash waqf.

Unduhan

Diterbitkan

2016-03-29

Terbitan

Vol 1 No 1 (2016): March 2016

Bagian

Articles

Lisensi

License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
  • They are authorized by their co-authors to enter into these arrangements.
  • The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
  • That it is not under consideration for publication elsewhere,
  • That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
  • They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
  • They agree to the following license and copyright agreement.
Copyright
Authors who publish with IJIBE agree to the following terms:
  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
IJIBE uses a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.

Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.

This work is licensed under a Creative Commons Attribution 4.0 International License.