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References
- Republik Indonesia Undang-undang Nomor 13 Tahun 2003 tentang ketenagakerjaan.
- Badan Pusat Statistik. “Jumlah dan Distribusi Penduduk.†Internet: https://sp2010.bps.go.id/index.php/site/index, 2010, [Sep, 27, 2017].
- Ngadi, et. al. “Kebijakan Ketenaga kerjaan menghadapi Ledakan Penduduk Usia Kerja di Indonesiaâ€. Jakarta: LIPI, 2010.
- Djoko M. A.S., et. al. Mobilitas Penduduk dan Bonus Demografi. Bandung: Unpad Press, 2015, pp. 84-85.
- Anuraga Gangga. “Hierarchical Clustering Multiscale Bootstrap untuk Pengelompokan Kemiskinan di Jawa Timur.†Jurnal Statistika, Vol. 1, No. 3, pp. 28-33. 2015.
- Nengsih Warnia. “Clustering K-Means Analisysis (Studi Kasus: Koleksi Perpustakaan).†In Seminar Nasional Teknologi Informasi Komunikasi dan Industri, 2014.
- Kristanto H. N., A. L. Christopher Andreas, dan S. Budi Halim. “Implementasi K-means Clustering untuk Pengelompokan Analisis Rasio Profitabilitas dalam Working Capital.†Jurnal Informatika dan Sistem Informasi, Vol. 02, No. 01, pp. 9-14, 2016.
- Iswari Lizda dan Ayu Gita Ervina. “Pemanfaatan Algoritma K-means untuk Pemetaan Hasil Klasterisasi Data Kecelakaan Lalu Lintas.†Jurnal Teknologi dan Indostri, Vol. 21, No. 1, pp. 01-11, 2015.
- Huda Misbachul, Hayun Rahma Dian, Sri Annisa. “Diversity-based Attribute Weighting for K-Modes Clustering.†Jurnal Ilmu Komputer dan Informasi, Vol. 7, No. 2, pp. 61-66, 2014.
- S.Neelamegam, Dr.E.Ramaraj."Classification algorithm in Data mining: An Overview ". International Journal of P2P Network Trends and Technology (IJPTT), Vol.3, No. 8. pp.369 – 374, 2013
- Aranganayagi, S., and Thangavel, K., “Improved K-Modes for Categorical Clustering Using Weighted Dissimilarity Measure.†International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol.3, No.3, pp. 729-735, 2009.
- Huang, Z., “A Fast Clustering Algorithm to cluster Very Large Categorical Datasets in Data Miningâ€, In Proc. SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery. 1997.
- Xiang, Z., and Zahidul, M.. Hartigan’s Method for K-modes Clustering and Its Advantages. Proceedings of the Australasian Data Mining Conference, Vol.158, 2014.
References
Republik Indonesia Undang-undang Nomor 13 Tahun 2003 tentang ketenagakerjaan.
Badan Pusat Statistik. “Jumlah dan Distribusi Penduduk.†Internet: https://sp2010.bps.go.id/index.php/site/index, 2010, [Sep, 27, 2017].
Ngadi, et. al. “Kebijakan Ketenaga kerjaan menghadapi Ledakan Penduduk Usia Kerja di Indonesiaâ€. Jakarta: LIPI, 2010.
Djoko M. A.S., et. al. Mobilitas Penduduk dan Bonus Demografi. Bandung: Unpad Press, 2015, pp. 84-85.
Anuraga Gangga. “Hierarchical Clustering Multiscale Bootstrap untuk Pengelompokan Kemiskinan di Jawa Timur.†Jurnal Statistika, Vol. 1, No. 3, pp. 28-33. 2015.
Nengsih Warnia. “Clustering K-Means Analisysis (Studi Kasus: Koleksi Perpustakaan).†In Seminar Nasional Teknologi Informasi Komunikasi dan Industri, 2014.
Kristanto H. N., A. L. Christopher Andreas, dan S. Budi Halim. “Implementasi K-means Clustering untuk Pengelompokan Analisis Rasio Profitabilitas dalam Working Capital.†Jurnal Informatika dan Sistem Informasi, Vol. 02, No. 01, pp. 9-14, 2016.
Iswari Lizda dan Ayu Gita Ervina. “Pemanfaatan Algoritma K-means untuk Pemetaan Hasil Klasterisasi Data Kecelakaan Lalu Lintas.†Jurnal Teknologi dan Indostri, Vol. 21, No. 1, pp. 01-11, 2015.
Huda Misbachul, Hayun Rahma Dian, Sri Annisa. “Diversity-based Attribute Weighting for K-Modes Clustering.†Jurnal Ilmu Komputer dan Informasi, Vol. 7, No. 2, pp. 61-66, 2014.
S.Neelamegam, Dr.E.Ramaraj."Classification algorithm in Data mining: An Overview ". International Journal of P2P Network Trends and Technology (IJPTT), Vol.3, No. 8. pp.369 – 374, 2013
Aranganayagi, S., and Thangavel, K., “Improved K-Modes for Categorical Clustering Using Weighted Dissimilarity Measure.†International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol.3, No.3, pp. 729-735, 2009.
Huang, Z., “A Fast Clustering Algorithm to cluster Very Large Categorical Datasets in Data Miningâ€, In Proc. SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery. 1997.
Xiang, Z., and Zahidul, M.. Hartigan’s Method for K-modes Clustering and Its Advantages. Proceedings of the Australasian Data Mining Conference, Vol.158, 2014.