Qurrotul Aini

Work place: Department of Information System, Universitas Islam Negeri Syarif Hidayatullah Tangerang Selatan, 15412, Indonesia

E-mail: qurrotul.aini@uinjkt.ac.id


Research Interests: Business & Economics & Management, Business, Computer Science & Information Technology, Network Architecture, Multimedia Information System


Qurrotul Aini was born in Malang, East Java province Indonesia. She received the B.Eng. degree in electrical engineering from Brawijaya University, the M.Eng. and Doctor degree in electrical engineering from Institut Teknologi Sepuluh Nopember Surabaya.

She currently a lecturer in the Department of Information System, Universitas Islam Negeri Syarif Hidayatullah Jakarta, Indonesia. In 2015, she collaborated research with Assoc. Prof. Takuya Terasawa from Tokyo University of Technology in applying swarm intelligence techniques in maritime ad hoc network.

Dr. Aini is a membership of IEEE since 2013. Also, she is join the Indonesian professional organization such AISINDO and APTIKOM. Her research interest are in ad hoc network, computer science, business intelligence, and multimedia application.

Author Articles
Potential Halal Tourism Destinations with Applying K-Means Clustering

By Qurrotul Aini Eva Khudzaeva

DOI: https://doi.org/10.5815/ijisa.2019.09.02, Pub. Date: 8 Sep. 2019

The clustering application can be used to develop a variety of tourism potential. Currently, halal tourism is a national income that increases every year and is a favorite for Indonesia. The development of halal tourism is supported by a majority population Muslim and as a halal tourist destination in the world. The objective of this study is to investigate the number of clustering with partitioning approach i.e. K-Means (KM) with two simulation scenarios. The characteristics similarity of this method refers to 11 indicators in 2017 Global Muslim Travel Index (GMTI). The output of this study is to display the information in the form of a map and make it easier for the public to determine which halal tourism destinations are high, medium, and low potential.

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