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Journal : Jurnal Penelitian Pertanian Tanaman Pangan

Deteksi Cepat Viabilitas Benih Padi Menggunakan Gelombang Near Infrared dan Model Jaringan Saraf Tiruan Firdaus, Jonni; Hasbullah, Rokhani; Ahmad, Usman; Suhartanto, M. Rahmad
Jurnal Penelitian Pertanian Tanaman Pangan Vol 33, No 2 (2014): Agustus 2014
Publisher : Pusat Penelitian dan Pengembangan Tanaman Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.799 KB) | DOI: 10.21082/jpptp.v33n2.2014.p77-86

Abstract

Viability is an important component of seed quality, which could be detained by germinating the seeds. Currently testing the seed viability of rice takes a long time (5-14 days), so it becomes a limiting factor in the seed production process. An alternative method for rapid seed viability detection is using the Near Infrared (NIR) spectra and using artificial neural network (ANN) as a data processing system. This research was aimed to study the use of NIR spectra and ANN to predict the viability of rice seeds. NIR reflectance (1,000-2,500 nm) of a Ciherang rice seed samples (40 grams), was used as the input data to develop the ANN model. A total of 60 samples were subjected to accelerated aging to obtain various levels of germination. The development of ANN models was done through calibration and validation of NIR spectra to the viability parameters. As ANN input, NIR reflectance of seed sample was given pretreatment data such as normalization, first derivative, second derivative, standard normal variate (SNV) and principal component analysis (PCA). The results showed that longer accelerated aging caused a decrease in seed viability. This was also indicated by the decrease in soluble protein and an increase in free fatty acids. The intensity of the NIR absorbance spectra also showed the same in the absorption region of soluble protein and free fatty acids. The best ANN models to predict the germination was 10PC-5-3 ANN with the SNV NIR reflectance used as the input data. Coefisien correlation of the validation was 0.8947, the value of ratio performance deviation was 2.2359 and the standard error performance was 9.9233%. The use of NIR spectra and ANN was potentially useful to perdict the viability of rice seeds more rapidly.
Co-Authors . Setiadjit . Sukarno . Sutrisno Abdul Waries Patiwiri Achmad Fitrah Maulidin Adhitya Yudha Pradhana Agus Sutejo Ahmad Yani Ahmad Yani Ali Parjito Amzul Rifin Andi Suryadi Anggitha Ratri Dewi Arief Daryanto Arif Imam Suroso Arif Suroso Aris Purwanto Astu Unadi Budi Nurtama Budi Rahardjo Cicih Sugianti Dadang . Deasy Fitriani Desy Nofriati Desy Nofriati Deva Primadia Almada Dikky Indrawan Dondy A Setyabudi Dondy A Setyabudi DS Priyarsono Dwi Zuwarman Edi Suryanto Edy Hartulistiyoso Eka Priyana Elisa Nur Faizaty Elpodesy Marlisa Emmy Darmawati Eti Rohaeti Fahim M Taqi Fajar Sidiq Firdaus, Jonni Graita Gaiety Jatmiko Harli Prawaningrum Hasniar . Heriyanto S Soba I Wayan Astika I Wayan Budiastra Idham Sakti Harahap Iriando Wijaya Ita Zuraida Iyus Hendrawan Jeffrey Fransiscus Juniska Muria Sariningpuri Kaltika Setya Utami Sumariana Khoirul Mukhtarom Leopold Oscar Nelwan Lidya Susanti Lilik Pujantoro Eko Nugroho Machfud Machfud Maya Wulan Arini Memen Surahman Mohamad Rahmad Suhartanto Muhammad Yusuf Antu MUHAMMAD YUSUF ANTU nFN Setyadjit nFN Sukarno Nunung Nuryartono Nurhayati Nurhayati Nurman Susilo Nurul Imamah Okky Setyawati Dharmaputra Parlaungan Adil Rangkuti Patiwiri, Abdul Waries Pramita Riskia D. P Prori Vitaliano Latief Purwiyatno Hariyadi Raden Dikky Indrawan Indrawan Renny Anggraini Ridwan Rachmat Rimba Lestari Rio Viryawan Riska Indaryani Rizal Syarief Rizal Syarief RIZAL SYARIEF Rofika Rochmawati Ruri Wijayanti Sahara Sahara Selvi Marcellia Setiadjit Setiadjit Slamet Budijanto Sugiyono Sugiyono Sugiyono Sugiyono Sukarno Sukarno Sulusi Prabawati Suparlan . Suroso . Susi Lesmayati Susilo, Nurman Sutrisno , Sutrisno - Sutrisno Mardjan Sutrisno Sutrisno Sutrisno Sutrisno Tajuddin Bantacut Tri Yulni Usman Ahmad Warji Warji