Peramalan Pasar Penjualan Batik Menggunakan Metode Extreme Learning Machine (ELM)
62
DAFTAR PUSTAKA
Alexsander, O. 2013. Fenomena kain batik sebagai tren fashion di Indonesia. Tugas
Mata Kuliah. Universitas Bunda Mulia.
Agustina, I.D., Anggraeni, W. & Mukhlason, A. 2010. Penerapan metode extreme
learning machine untuk peramalan permintaan. Tugas Akhir. Institut Teknologi
Sepuluh November.
Beheshti-Kashi, S., Karimi, H.R., Thoben, K., Lutjen, M. & Teucke, M. 2014. A survey
on retail sales forecasting and prediction in fashion markets. Int. J. of Systems
Science & Control Engineering 3: 154-161.
Darmawan, A.S. 2012. Sistem pendukung keputusan peramalan penjualan batik dengan
metode trend moment. Jurnal Ilmiah ICTech 10(2): 1-5
Dasar Pemahaman Neural Networks. 2012. http://socs.binus.ac.id, 26 Juli 2012(diakses
pada 18 April 2015).
Empat motif khas batik. 2015. http://www.kriyalea.com, (diakses 10 Oktober 2015).
Fardani, D.P., Wuryanto, E. & Werdiningsih, I. 2015. Sistem pendukung keputusan
peramalan jumlah kunjungan pasien menggunakan metode extreme learning
machine (studi kasus : poli gigi rsu dr. wahidin sudiro husodo mojokerto).
Journal of Information Systems Engineering and Business Intelligence 1(1) : 33408.
Fumi, A., Pepe, A., Scarabotti , L. & Schiraldi, M.M. 2013. Fourier analysis for demand
forecasting in a fashion company. Int. J. of Engineering Business Management
5: 1-10.
Universitas Sumatera Utara
63
Gasperz, V. 2004. Production planning and inventory control. PT. Gramedia Pustaka
Utama: Jakarta.
Green, M. & Harrison, P.J. 1973. Fashion forecasting for a mail order company using
a Bayesian approach. Operational Research Quarterly 24(2): 193-205.
Huang, G.-B., Zhu, Q.-Y. & Siew, C.-K. 2006. Extreme learning machine : theory and
applications. Int. J. of Neurocomputing 70(2006): 489-501.
Haykin, S.S. 1999. Neural networks : a comprohensive foundation. Prantice Hall:
Michigan.
Heaton, J. 2008. Introduction to neural networks for java. Heaton Research, Inc: St.
Louis.
Jia, J. & Hao, S. 2013. Water deman forecasting based on adaptive extreme learning
machine. International Conference on Artificial Intelligence and Software
Engineering 2013: 42-45.
Kardha, F.R.D. 2012. Sistem informasi promix untuk peramalan produk (studi kasus
pada pt. batik danar hadi solo). Skripsi. Universitas Atma Jaya Yogyakarta.
Levine, D. 2002. Statistics for managers using microsoft excel. Prentice Hall: New
Jersey.
Liu, N., Ren, S., Choi, T.-M., Hui, C.-L. & Ng, S.-F. 2013. Sales forecasting for fashion
retailing service industry : a review. Int. J. of Mathematical Problems in
Engineering 2013: 1-9.
Maftukhah, E. 2013. Mengenal Batik : Definisi, Periode Perkembangan, dan Jenis-Jenis
Batik.
http://garmenstudionline.blogspot.com/2013/01/mengenal-batik.html,
Januari 2013 (diakses pada 28 April 2015).
Universitas Sumatera Utara
64
Makridakis, S., Wheelwright, S.C. & McGee, V.E. 1999. Metode dan Aplikasi
Peramalan. Erlangga: Jakarta.
Nenni, M.E., Guistiniano, L. & Pirolo, L. 2013. Demand forecasting in the fashion
industry : a review. Int. J. of Engineering Business Management 5: 1-6.
Nurmaida, A. 2012. Penerapan metode exponential smoothing holt-winter dalam sistem
peramalan curah hujan. Tugas Akhir. Universitas Pendidikan Indonesia.
Poerwanto. & Sukirno, Z.L. 2012. Inovasi produk dan motif seni batik pesisiran sebagai
basis pengembangan industri kreatif dan kampung wisata minat khusus. Jurnal
Al-Azhar Indonesia Seni Pranata Sosial 1(4): 217-229.
Riyadi, S. 2015. Aplikasi peramalan penjualan obat menggunakan metode pemulusan
(studi kasus: instalasi farmasi rsud dr murjani). Seminar Nasional Teknologi
Informasi dan Multimedia 5.3-1 - 5.3-6.
Sanmorino, A. 2012. Clustering batik image using fuzzy C-Means algorithm based on
log-average luminance. In. J. of Computer Engineering and Applications 1(1):
25-31.
Setiawan, N. 2012. Teori Analisis Time Series. http://statistikceria.blogspot.com, 11
Mei 2012 (diakses 18 April 2015).
Simanjuntak, L.H. 2014. Prediksi jumlah permintaan barang musiman menggunakan
metode holt-winters. Skripsi. Universitas Sumatera Utara.
Sun, Z.-L., Choi, T.-M., Au, K.-F. & Yu, Y. 2008. Sales forecasting using extreme
learning machine with applications in fashion retailing. Int. J. of Decision
Support Systems 46(1): 411-419.
Universitas Sumatera Utara
65
Taylor, J.W. 2007. Forecasting daily supermarker sales using exponential weighted
quantile regression. European Journal of Operational Research 178 : 154-167.
Tanjung, I. H. 2012. Peramalan jumlah penjualan distributor telur terhadap permintaan
pasar menggunakan metode average-based fuzzy time series (Abfts). Skripsi.
Universitas Sumatera Utara.
Winarno, W.W. 2007. Analisis ekonometrika dan statistika dengan eviews. UPP STIM
YKPN: Yogyakarta.
Universitas Sumatera Utara
DAFTAR PUSTAKA
Alexsander, O. 2013. Fenomena kain batik sebagai tren fashion di Indonesia. Tugas
Mata Kuliah. Universitas Bunda Mulia.
Agustina, I.D., Anggraeni, W. & Mukhlason, A. 2010. Penerapan metode extreme
learning machine untuk peramalan permintaan. Tugas Akhir. Institut Teknologi
Sepuluh November.
Beheshti-Kashi, S., Karimi, H.R., Thoben, K., Lutjen, M. & Teucke, M. 2014. A survey
on retail sales forecasting and prediction in fashion markets. Int. J. of Systems
Science & Control Engineering 3: 154-161.
Darmawan, A.S. 2012. Sistem pendukung keputusan peramalan penjualan batik dengan
metode trend moment. Jurnal Ilmiah ICTech 10(2): 1-5
Dasar Pemahaman Neural Networks. 2012. http://socs.binus.ac.id, 26 Juli 2012(diakses
pada 18 April 2015).
Empat motif khas batik. 2015. http://www.kriyalea.com, (diakses 10 Oktober 2015).
Fardani, D.P., Wuryanto, E. & Werdiningsih, I. 2015. Sistem pendukung keputusan
peramalan jumlah kunjungan pasien menggunakan metode extreme learning
machine (studi kasus : poli gigi rsu dr. wahidin sudiro husodo mojokerto).
Journal of Information Systems Engineering and Business Intelligence 1(1) : 33408.
Fumi, A., Pepe, A., Scarabotti , L. & Schiraldi, M.M. 2013. Fourier analysis for demand
forecasting in a fashion company. Int. J. of Engineering Business Management
5: 1-10.
Universitas Sumatera Utara
63
Gasperz, V. 2004. Production planning and inventory control. PT. Gramedia Pustaka
Utama: Jakarta.
Green, M. & Harrison, P.J. 1973. Fashion forecasting for a mail order company using
a Bayesian approach. Operational Research Quarterly 24(2): 193-205.
Huang, G.-B., Zhu, Q.-Y. & Siew, C.-K. 2006. Extreme learning machine : theory and
applications. Int. J. of Neurocomputing 70(2006): 489-501.
Haykin, S.S. 1999. Neural networks : a comprohensive foundation. Prantice Hall:
Michigan.
Heaton, J. 2008. Introduction to neural networks for java. Heaton Research, Inc: St.
Louis.
Jia, J. & Hao, S. 2013. Water deman forecasting based on adaptive extreme learning
machine. International Conference on Artificial Intelligence and Software
Engineering 2013: 42-45.
Kardha, F.R.D. 2012. Sistem informasi promix untuk peramalan produk (studi kasus
pada pt. batik danar hadi solo). Skripsi. Universitas Atma Jaya Yogyakarta.
Levine, D. 2002. Statistics for managers using microsoft excel. Prentice Hall: New
Jersey.
Liu, N., Ren, S., Choi, T.-M., Hui, C.-L. & Ng, S.-F. 2013. Sales forecasting for fashion
retailing service industry : a review. Int. J. of Mathematical Problems in
Engineering 2013: 1-9.
Maftukhah, E. 2013. Mengenal Batik : Definisi, Periode Perkembangan, dan Jenis-Jenis
Batik.
http://garmenstudionline.blogspot.com/2013/01/mengenal-batik.html,
Januari 2013 (diakses pada 28 April 2015).
Universitas Sumatera Utara
64
Makridakis, S., Wheelwright, S.C. & McGee, V.E. 1999. Metode dan Aplikasi
Peramalan. Erlangga: Jakarta.
Nenni, M.E., Guistiniano, L. & Pirolo, L. 2013. Demand forecasting in the fashion
industry : a review. Int. J. of Engineering Business Management 5: 1-6.
Nurmaida, A. 2012. Penerapan metode exponential smoothing holt-winter dalam sistem
peramalan curah hujan. Tugas Akhir. Universitas Pendidikan Indonesia.
Poerwanto. & Sukirno, Z.L. 2012. Inovasi produk dan motif seni batik pesisiran sebagai
basis pengembangan industri kreatif dan kampung wisata minat khusus. Jurnal
Al-Azhar Indonesia Seni Pranata Sosial 1(4): 217-229.
Riyadi, S. 2015. Aplikasi peramalan penjualan obat menggunakan metode pemulusan
(studi kasus: instalasi farmasi rsud dr murjani). Seminar Nasional Teknologi
Informasi dan Multimedia 5.3-1 - 5.3-6.
Sanmorino, A. 2012. Clustering batik image using fuzzy C-Means algorithm based on
log-average luminance. In. J. of Computer Engineering and Applications 1(1):
25-31.
Setiawan, N. 2012. Teori Analisis Time Series. http://statistikceria.blogspot.com, 11
Mei 2012 (diakses 18 April 2015).
Simanjuntak, L.H. 2014. Prediksi jumlah permintaan barang musiman menggunakan
metode holt-winters. Skripsi. Universitas Sumatera Utara.
Sun, Z.-L., Choi, T.-M., Au, K.-F. & Yu, Y. 2008. Sales forecasting using extreme
learning machine with applications in fashion retailing. Int. J. of Decision
Support Systems 46(1): 411-419.
Universitas Sumatera Utara
65
Taylor, J.W. 2007. Forecasting daily supermarker sales using exponential weighted
quantile regression. European Journal of Operational Research 178 : 154-167.
Tanjung, I. H. 2012. Peramalan jumlah penjualan distributor telur terhadap permintaan
pasar menggunakan metode average-based fuzzy time series (Abfts). Skripsi.
Universitas Sumatera Utara.
Winarno, W.W. 2007. Analisis ekonometrika dan statistika dengan eviews. UPP STIM
YKPN: Yogyakarta.
Universitas Sumatera Utara