@article{MAKHILLJEAS2019141918495,
    title = {Model of Radar Zakat (RAZAR) Application using Community
Approach Integrated to Digital Map},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {19},
    pages = {7110-7123},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7110.7123},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7110.7123},
    author = {Husni,Rizky,Kyung,Ujang and},
    keywords = {ZIS,recommendation,review,Google Map,Zakat information system,Mustahiq,Muzakki},
    abstract = {Zakat, Infak and Shodaqoh (ZIS) is an obligation for Muslims to create a sense of justice for others.
There are already several institutions that handle ZIS, either directly formed by the state or from the community.
Each Zakat institution has already a system used to record the Muzakki (the person giving the Zakat) and
Mustahiq (the recipient of Zakat). There are some disadvantages to the current system, namely, first there is
a gap against the number of Zakah receipts and Zakat distribution numbers. Second, the data between Zakat
institutions that have not been integrated, so, it will be susceptible to have redundant data. Third, Mustahiq
data searching process is still very limited and seems difficult. Fourth, there are still many Muzakki who give
ZIS without going through Zakat institution and the operational cost of ZIS institution is still high. This study
contributes to minimize these problems by making a model of Radar Zakat (RAZAR) application using three
approaches with case studies in Indonesia. First, an approach involving community collaboration in a local
social environment that can actively recommend and review Mustahiq candidates. Second, create an integration
model by designing a proxy database by providing Application Program Interface (API) that can be accessed
by Zakat management institutions for data exchange. Third, the use of map technology based on Global
Positioning System (GPS) with the help of API from Google Maps to show the location of the Mustahiq, so,
the ZIS distribution becomes faster.}
    }