Intelligent Software for Classification of Regional Inequality in Banten Province Using the Williamson Index

  • Tubagus Rachmat Hidayat Universitas Serang Raya
  • Harsiti Harsiti Universitas Serang Raya
  • Zaenal Muttaqin Universitas Serang Raya
  • Maya Selvia Lauryn Universitas Serang Raya
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The process of development in some areas occur quickly, but several areas experienced a very slow process. In this case, the local government has some problems in the process of implementing of local development, whether in policy making or proposing a strategy for local development, as well as improving the environment in order to support the development of their region's economy. Banten Province is a province located at the west of Java. The administrative conditions which is directly bordered with Jakarta as a capital city and West Java province makes Banten province become the most strategic regions. Based on economic growth data of Banten Province in 2010 - 2015, it can be seen that economic growth of Banten Province is increasing positively in five years. Although the growth of economic development in Banten province tend to be positive, it can be seen significantly that there is still a level of development that has an index of inequality  in some districts or cites in Banten. In the process of identification the inequality level among the districts in Banten province, the government usually analyze the case by using manual calculations to determine the policy that should be taken in addressing the inequality that occur in those districts. This process takes quite a long time to take the policy in structuring regional areas. In determining the area of inequality, the government requires Gross Regional Domestic Product (GRDP) data and the data of the population which can be calculated by using several inequality area methods. The method that often used is the Shift Share, Index Gain, Williamson Index and Klassen Typology. In some cases, Williamson index is often used in calculating the inequality between regions or territories. Several studies that had used Williamason index in identifying inequality development usually used the data analysis without particular tools such as software. It complicates the process of inequality analysis if the amount of the data is quite big. Therefore, this study aims to develop the software as a supporting tool for the identification of inequality development using Williamson index. The application is based-website to make it easier for the identification process.


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Author Biographies

Tubagus Rachmat Hidayat, Universitas Serang Raya
Teknik Informatika
Harsiti Harsiti, Universitas Serang Raya
Sistem Informasi
Zaenal Muttaqin, Universitas Serang Raya
Sistem Informasi
Maya Selvia Lauryn, Universitas Serang Raya
Teknik Informatika


Astamal.R., 2010. Modul Pemrograman PHP, LUG STIKOM Surabaya.

Cahyono.S.A dan Wijaya.W.W., 2014. Identifikasi Sektor Ekonomi Unggulan Dan Ketimpangan Pendapatan Antar Kabupaten Di Sub Das Bengawan Solo Hulu, JURNAL Penelitian Sosial dan Ekonomi Kehutanan Vol. 11 No. 1, Hal. 32 – 43.

Dahria.M., 2008. Kecerdasan Buatan (Artificial Intelligence), Jurnal SAINTIKOM Vol. 5, No.2.

Dhyatmika.K.T,. 2013. Analisis Ketimpangan Pembangunan Provinsi Banten Pasca Pemekaran, Semarang.

Dhyatmika.K.W dan Atmanti.H.D., 2013. Analisis Ketimpangan Pembangunan Provinsi Banten Pasca Pemekaran, Diponegoro Journal Of Economics Volume 2, Nomor 2, Halaman 1-8.

Hartono.B,. 2008. Analisis Ketimpangan Pembangunan Ekonomi Di Provinsi Jawa Tengah Analisis Ketimpangan Pembangunan Ekonomi Di Provinsi Jawa Tengah, Semarang.

Hidayat.M,. 2014. Inequality Across Districts and Cities In The Riau, Economic Journal Of Emerging Markets, 6(2), 106-118.

Masnawi.A dkk., 2015. Analysis Of Regional Growth And Development Disparaties In Mamuju Regensy, West Sulawesi, International Journal of Management Research and Busnies Strategy Vol. 4, No.3.

Muchtholifah,. 2010. Pengaruh Produk Domestik Regional (Pdrb), Inflasi, Investasi Industri Dan Jumlah Tenaga Kerja Terhadap Pendapatan Asli Daerah (Pad) Di Kota Mojokerto, Jurnal Ilmu Ekonomi Pembangunan Vol. 1, No.1.

Munandar, T.A dan Winarko. E,. 2015. Regional Development Classification Model Using Decision Tree Approach, International Journal of Computer Applications (0975 – 8887) Volume 114 – No. 8.

Panorama.M., 2013. Disparaties in Economic Development, International Conference on the Modern Development of Humanities and Social Science (MDHSS 2013).

Praduwiratna.R., 2010. Bermain Data Dengan SQL Server, Bandung.

Raswita.N.P.M.E dan Utama.M.S., 2013. Analisa Pertumbuhan Ekonomi Dan Ketimpangan Pendapatan Antar Kecamatan Di Kabupaten Gianyar, E-Jurnal Ekonomi Pembangunan Universitas Udayana Vol. 2, No. 3.

Razak.A.R., 2011. Economic Growth And Regional Development Disparity In South Sulawesi, Economic Journal Of Emerging Markets, 3(3), 275-287.

Rukmana.I., 2012. Pengaruh Disparitas Pendapatan, Jumlah Penduduk Dan Inflasi Terhadap Pertumbuhan Ekonomi Di Jawa Tengah Tahun 1984-2009, Economics Development Analysis Journal 1 (1).

Sari.P.D.K dan Budhi.M.K.S., 2013. Pertumbuhan Ekonomi Dan Ketimpangan Antar Kecamatan Di Kabupaten Buleleng, E-Jurnal Ekonomi Pembangunan Universitas Udayana Vol. 2, No. 3.

Sokolowich.M.E., 2015. Instituional Perspective of Urban and Regional Economics – Selected Areas of Empirical Application, Journal of Economics and Management Vol. 19(1).

Sudarlan dkk., 2015. Impact Of Mining Sector To Porverty And Income Inquality In Indonesia: A Panel Data Analysis, International Journal Of Scientific & Technology Research VOLUME 4, ISSUE 06.

Sulistyorini,P., 2010. Pemodelan Visual Dengan Menggunakan UML Dan Rational Rose, Jurnal Teknologi Informasi Dinamik Volume XIV, No.1, 23-29.

Sutarno dan Kuncoro.M., 2003. Pertumbuhan Ekonomi Dan Ketimpangan Antara Kecamatan Di Kabupaten Banyumans, 1993-2003, Jurnal Ekonomi Pembangunan Vol. 8 No. 2, Hal: 97 – 110.

Sutrisno.A., 2012. Analisis Ketimpangan Pendapatan Dan Pengembangan Sektor Unggulan Di Kabupaten Dalam Kawasan BARLINGMASCAKEB Tahun 2007-2010, Economics Development Analysis Journal.

Suwandi.N,. 2015. Economic Inequality among Districts in Keerom, Papua, Indonesia, Journal of Social and Development Sciences Vol. 6, No. 3, pp. 30-34.

Woods.J.G and Lucturer,. 2007. Regional Economic Growth and Income Distribution in California, Journal Of Business and Public Affairs Volume 1. Issue 1.

Yeniwati., 2013. Ketimpangan Ekonomi Antar Provinsi Di Sumatera, Jurnal Kajian Ekonomi, Vol. II, No.03.

Zakaria.S,. 2013. The Impact of Fiscal Deventralization toward Regional Inequalities in Eastern Region of Indonesia, Journal of Economics and Sustainable Development Volume 4, No. 10, 2222-1700..

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