| 902 Harga | ;;;;;;; |
| 533 Catatan reproduksi | |
| 700 Entri Tambahan Nama Orang | Khres A.E. Senduk, I Wayan Budiastra, Suroso |
| 336 Content Type | text (rdacontent) |
| 264b Nama Penerbit | Program Pascasarjana Universitas Indonesia |
| 710 Entri Tambahan Badan Korporasi | |
| 091 No. Panggil Setempat Majalah | 630 FPJ 25:4 (2002) ;630 FPJ 25:1 (2002) (1);630 FPJ 25:1 (2002) (2);630 FPJ 25:2 (2002) (2);630 FPJ 25:2 (2002) (1);630 FPJ 25:3 (2002) (2);630 FPJ 25:3 (2002) (1);630 FPJ 27:4 (2004) |
| 049 No. Barkod | ;;04-19-655841305;04-19-792547431;04-19-563211478;04-19-067417327;04-19-920082698;04-19-862132520;04-19-385637064 |
| 852 Lokasi | Perpustakaan UI, Lantai 4, R. Koleksi Jurnal |
| 515 Penyimpangan/penomoran | |
| 338 Carrier Type | volume (rdacontent) |
| 490 Seri | |
| 270 Alamat Penerbit, Suplier | Gedung Rektorat Lantai 1 Kampus IPB Darmaga, Bogor 16680 |
| 590 Cat. Sumber Pengadaan Koleksi | ;;;;;;; |
| 053 No. Induk | ;;04-19-655841305;04-19-792547431;04-19-563211478;04-19-067417327;04-19-920082698;04-19-862132520;04-19-385637064 |
| 321 Frekuensi lama | |
| 653 Kata Kunci | NIR; neural network; PCA; sawo; maturity; ripeness |
| 040 Sumber Pengatalogan | |
| 245 Judul Utama | Forum Pascasarjana |
| 264c Tahun Terbit | 2002 |
| 650 Subyek Topik | Agriculture |
| 850 Lembaga Pemilik | Universitas Indonesia |
| 520 Ringkasan/Abstrak/Intisari | 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 |
| 904b Pemeriksa Lembar Kerja | ;;;;;; |
| 022 ISSN (R) | 01261886 |
| 525 Cat. suplemen/index/spec. issua | |
| 090 No. Panggil Setempat | 630 FPJ |
| 061 Tanggal akhir diterima/langgan | |
| 500 Catatan Umum | |
| 337 Media Type | unmediated (rdacontent) |
| 100 Entri Utama Nama Orang | Syafrida Manuwoto, author |
| 264a Kota Terbit | Bogor |
| 300 Deskripsi Fisik | ...Volume. : illustration ; 24 cm |
| 904a Pengisi Lembar Kerja | Alyssa-Maret19;Alyssa-Maret19;Alyssa-Maret19;Alyssa-Maret19;Alyssa-Maret19;Alyssa-Maret19;Alyssa-Maret19 |
| 856 Akses dan Lokasi Elektronik | |
| 246 Judul Alternatif | |
| 310 Frekuensi Terbit | setiap Triwulan |
| 041 Kode Bahasa | ind |
| 362 Tanggal Terbit Awal | Oktober 2002 |