Ditemukan 16164 dokumen yang sesuai dengan query
Jakarta: Yayasan Nabil,
050 NABIl 2(2011)
Majalah, Jurnal, Buletin Universitas Indonesia Library
Jakarta: Yayasan Bina Asia-Pasifik, 2012
950 APF
Majalah, Jurnal, Buletin Universitas Indonesia Library
Fleuren-van Hal, Dorine
Leiden: Martinus Nijhoff, 1986
BLD 839.36 FLE f
Buku Teks Universitas Indonesia Library
Jakarta : Yayasan Nabil
050 NAB
Majalah, Jurnal, Buletin Universitas Indonesia Library
Roelants, Maurice
"buku berisi arsip dari forum yang ditulis oleh Maurice Roelants. kesalahan penceramah dari forum 1935, membuat penulis menulis tentang sejarah yang benar."
Rotterdam: Nigh & Van Ditmar, 1965
BLD 839.36 ROE
Buku Teks Universitas Indonesia Library
Roelants, Maurice
Rotterdam: Nijgh & Van Ditmar, 1962
BLD 839.36 ROE r
Buku Teks Universitas Indonesia Library
Jakarta : PT. Forum Adil Mandiri, 2006,
Majalah, Jurnal, Buletin Universitas Indonesia Library
Padang: Universitas Negeri Padang,, 2004
FOPEN 29:2 (2004)
Majalah, Jurnal, Buletin Universitas Indonesia Library
"
ABSTRAK Meningkatnya perhatian yang diberikan oleh para pakar, baik melalui berbagai studi empiris maupun publikasi teoritis, terhadap pentingnya membaca termasuk bahasa Inggris, telah menimbulkan pertanyaan apakah mungkin membaca pemahaman disekolah menengah dapat dipengaruhi oleh aspek lain. "
Palembang: Fakultas Keguruan dan Ilmu Pendidikan (FKIP) Universitas Sriwijaya, {s.a.}
370 FORKE
Majalah, Jurnal, Buletin Universitas Indonesia Library
Syafrida Manuwoto
"This study was aimed to determine maturity and ripeness of sawo (Achras sapota L.) based on near infrared (NIR) spectroscopy using artificial neural network. The NIR system was developed and applied to 120 sawo samples at the wavelength range from 1400 - 1995 nm, the data was recorded in 5 nm interval. The samples were separated into three group, i.e. mature, ripe, and over ripe based on their harvest time. The principal component analysis (PCA) was used to reduce dimension of NIR reflectance data that has been smoothed with moving average method. The 5, 10, 15 principal component was fed into the neural network model as input and the level of maturity and ripeness as output. The result recommended the use of 10 and 15 principal component as input on various nodes in hidden layer that would provided the highest accurateness of 100% in classifying the sawo based on its maturity and ripeness"
Lengkap +
Bogor: Program Pascasarjana Universitas Indonesia, 2002
630 FPJ
Majalah, Jurnal, Buletin Universitas Indonesia Library
