Sistem Manajemen Basisdata Biodiversity Indonesia Berbasis Eco-Informatics
Sari
Indonesia is one of the nation with the highest level of natural wealth and biodiversity in the world. This make Indonesia as a promising area for researchers to conduct research in the field of biodiversity ecology. However, the mechanism of data collection, data integration and data analysis of extensive biodiversity data makes research in the field of ecology very complicated because it requires a variety of different reference sources. Eco-informatics is an approach that can simplify the problem of ecological complexity by combining informatics and ecology. The purpose of this research is to build a biodiversity database management system into a web
application that can be used as a reference for researchers in the field of ecology and as part of education for the general public. The method to build the system used waterfall method through data needs analysis, functional requirements analysis, system design, database table design, user interface design, coding and system testing. The results of this research is a web based database management system application that can classify taxonomic data, search for species and display species information in metadata.
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Buol, R. A. (5 Juli 2015). Indonesia Perlu Database
Keanekaragaman Hayati. Diperoleh dari Kompas.com:
https://regional.kompas.com/read/2013/07/05/1509063/Indonesia. Perlu.Database.Keanekaragaman.Hayati. Diakses pada 1 Agustus 2019
Iqbal, Muhammad. 2019. Rancang Bangun Aplikasi Ecoinformatics Berbasis Metadata Dalam Klasifikasi Makhluk Hidup di Provinsi Aceh. Tugas Akhir. Tidak Diterbitkan. Jurusan
Teknologi Informasi dan Komputer. Politeknik Negeri
Lhokseumawe: Lhokseumawe.
Finroll. (29 April 2010). Indonesia Butuh Basis Data
Keanekaragaman Hayati. Diperoleh dari Lembaga Ilmu
Pengetahuan Indonesia: http://lipi.go.id/berita/indonesia-butuhbasis-data-keanekaragaman-hayati-/5241. Diakses pada 1 Agustus 2019.
Arhami, M., Desiani, A., Munawar., Hayati, R. (2017).
Ecoinformatics: The Encouragement of Ecological Data
Management. Proceedings of MICoMS 2017, 555-561
Michener, W. K., & Jones, M. B. (2012). Ecoinformatics : Supporting Ecology as A Data-intensive Science. Trends in Ecology and Evolution, 85-93.
Desiani, A., Arhami, M., Firdaus., Maiyanti, S. I. (2017). A rulebased method for living organisms classification. International Conference on Engineering and Applied Technology, 1-8
Tanzil, F. (21 Desember 2018). Waterfall Model. Diperoleh Dari Binus University: https://socs.binus.ac.id/2018/12/21/waterfallmodel/. Diakses pada 1 Agustus 2019.
Ermanita. (April 2016). Analisis dan Perancangan Sistem Informasi Perpustakaan. Jurnal Sistem Informasi (JSI), 966-977.
Subli, M., Sugiantoro, B., Prayudi, Y.(2017). Metadata Forensik Untuk Mendukung Proses Investigasi Digital. Jurnal Ilmiah Data Manajemen Dan Teknologi Informasi (DASI), 44-50
Costa, W, F., De Sousa, R, M., Giannin, T, C., Albertini, B, C., Saraiva, A, M. (2018). New Requirements of Biodiversity Research for Metadata on Models and Sensors on the Internet of Things and Big Data Era. Biodiversity Information Science and Standards 2, 13.
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