Seed is an important input component in rice production. Of the many varieties that had been rele... more Seed is an important input component in rice production. Of the many varieties that had been release, the distinction among varieties is not always clear. Among a large number of varieties error may happen in seed processing, storage and distribution, because of the similarity of their physical shape and size, and the seed appearances are difficult to be distinguished. An alternative to distinguish rice seed varieties is using near infrared (NIR) as sensors and using artificial neural network (ANN) as data processor. This research was aimed to study the accuracy of NIR spectroscopy and ANN for detecting rice seed varieties. NIR reflectances (1000-2500 nm) of seeds of 12 varieties were given pretreatment data such as first derivative, second derivative, normalization and standard normal variates. The pretreatment data were used as input in ANN models. Each variety consisted of 12 samples, each sample was 40 grams. ANN model used backpropagation multilayer perceptron with three layers as input, hiden, and output. Network weights were estimated using gradient descent algorithm. The wave form of NIR spectra was similar among varieties, but had different absorptions in intensities, so they could be used for determining the rice seed varieties. The best model was an ANN with standard normal variate pretreatment as input data. The accuracy of varieties prediction was 100% for training, 99.1% for testing and 98.1% for validation. Results showed that the NIR spectra and ANN model can be used as detection methods in rice varieties.
AbstrakBudidaya hidroponik merupakan metode dalam budidaya menanam dengan menggunakan air tanpa m... more AbstrakBudidaya hidroponik merupakan metode dalam budidaya menanam dengan menggunakan air tanpa mengggunakan tanah. Teknik menanam ini bergantung dengan konsentrasi dari air baku.Tujuan Penelitian adalah untuk mengetahui pengaruh konsentrasi air baku terhadap hasil produksi tanaman selada. Penelitian ini dilakukan pada bulan Penelitian ini dilaksanakan pada bulan Februari hingga Maret 2021. Bertempat di dalam Halaman Kantor Balai Pengkajian Teknologi Pertanian (BPTP) Sulawesi Tengah, Desa Maku, Daerah Poros Palu-Kulawi. Metode penelitian mengunakan Rancangan Acak Lengkap (RAL) non faktorial yaitu penggunaan dua konsentrasi air baku (air baku tanah dan air destilasi) untuk melarutkan nutrisi AB Mix (faktor A) dengan 2 taraf perlakuan. Masing-masing perlakuan diulang sebanyak 5 kali sehingga didapat 10 ulangan. Adapun perlakuan konsentrasi larutan nutrisi AB Mix yang digunakan adalah : A1 = 392 ppm Air Baku Tanah + 1200 ppm larutan AB Mix dan A2 = 31 ppm Air Baku Destilasi + 1200 pp...
Viability is an important component of seed quality, which could be detained by germinating the s... more 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, s...
IOP Conference Series: Earth and Environmental Science, 2019
The duration of the VCO oil extraction process affects quality. The centrifugation method produce... more The duration of the VCO oil extraction process affects quality. The centrifugation method produces high VCO quality but requires expensive in investment and operational costs. The acidification method with solar heat was produced VCO, but it took quite a long time (8-12 hours) with the success rate depending on the weather. This study aims to increase the success rate of acidification with a solar heat method through the use of solar heater. It also compares it with the standard of coconut oil quality requirements in SNI 01-2902-2001. The study was conducted in Malonas Village in 2016 involving 15 women farmers. The VCO was analyzed at the BB Pascapanen Laboratory, Bogor. The acidification/ chemistry method of VCO was tested in a solar heater and without it. The incubation process is carried out by observing the temperature, yield and drying time. VCO was tested for the percentage content of free fatty acids (FFA), yield, visual and aroma test. The result was decreased in processing time in separation coconut milk to oil, water, and blondo from 8.30 hours + 0.51 (without solar heater) to 3.45 hours + 0.16. Oil yield increased by 0.9% and the FFA level was below SNI standard and APCC.
Journal of Agricultural and Biosystem Engineering Research, 2021
Pemenuhan kebutuhan pangan di dalam perkotaan dapat dilakukan melalui pemanfaatan lahan dan air y... more Pemenuhan kebutuhan pangan di dalam perkotaan dapat dilakukan melalui pemanfaatan lahan dan air yang lebih efisien dengan sistem tanam hidroponik. Penggunaan aliran nutrisi tertutup merupakan suatu cara untuk mengurangi biaya dan meminimalkan dampak lingkungan dari sistem hidroponik. Dalam sistem tertutup, sangat penting untuk menentukan konsentrasi nutrisi dalam larutan sisa untuk mengisi kembali larutan nutrisi dengan komposisi hara optimal. Saat ini pengukuran ketersediaan hara di dalam larutan nutrisi berdasarkan konduktifitas listrik (EC) yang memiliki kelemahan karena EC meter hanya dapat menggambarkan konduktifitas listrik dari total ion dan tidak mengukur konsentrasi masing-masing ion secara individu sehingga tidak dapat memantau kebutuhan tanaman secara real-time terhadap masing-masing ion di dalam larutan nutrisi. Untuk mengatasi permasalahan tersebut maka saat ini telah mulai dikembangkan teknologi ion selective electrodes (ISE) yaitu suatu sensor berupa elektroda yang da...
Seed is an important input component in rice production. Of the many varieties that had been rele... more Seed is an important input component in rice production. Of the many varieties that had been release, the distinction among varieties is not always clear. Among a large number of varieties error may happen in seed processing, storage and distribution, because of the similarity of their physical shape and size, and the seed appearances are difficult to be distinguished. An alternative to distinguish rice seed varieties is using near infrared (NIR) as sensors and using artificial neural network (ANN) as data processor. This research was aimed to study the accuracy of NIR spectroscopy and ANN for detecting rice seed varieties. NIR reflectances (1000-2500 nm) of seeds of 12 varieties were given pretreatment data such as first derivative, second derivative, normalization and standard normal variates. The pretreatment data were used as input in ANN models. Each variety consisted of 12 samples, each sample was 40 grams. ANN model used backpropagation multilayer perceptron with three layers as input, hiden, and output. Network weights were estimated using gradient descent algorithm. The wave form of NIR spectra was similar among varieties, but had different absorptions in intensities, so they could be used for determining the rice seed varieties. The best model was an ANN with standard normal variate pretreatment as input data. The accuracy of varieties prediction was 100% for training, 99.1% for testing and 98.1% for validation. Results showed that the NIR spectra and ANN model can be used as detection methods in rice varieties.
AbstrakBudidaya hidroponik merupakan metode dalam budidaya menanam dengan menggunakan air tanpa m... more AbstrakBudidaya hidroponik merupakan metode dalam budidaya menanam dengan menggunakan air tanpa mengggunakan tanah. Teknik menanam ini bergantung dengan konsentrasi dari air baku.Tujuan Penelitian adalah untuk mengetahui pengaruh konsentrasi air baku terhadap hasil produksi tanaman selada. Penelitian ini dilakukan pada bulan Penelitian ini dilaksanakan pada bulan Februari hingga Maret 2021. Bertempat di dalam Halaman Kantor Balai Pengkajian Teknologi Pertanian (BPTP) Sulawesi Tengah, Desa Maku, Daerah Poros Palu-Kulawi. Metode penelitian mengunakan Rancangan Acak Lengkap (RAL) non faktorial yaitu penggunaan dua konsentrasi air baku (air baku tanah dan air destilasi) untuk melarutkan nutrisi AB Mix (faktor A) dengan 2 taraf perlakuan. Masing-masing perlakuan diulang sebanyak 5 kali sehingga didapat 10 ulangan. Adapun perlakuan konsentrasi larutan nutrisi AB Mix yang digunakan adalah : A1 = 392 ppm Air Baku Tanah + 1200 ppm larutan AB Mix dan A2 = 31 ppm Air Baku Destilasi + 1200 pp...
Viability is an important component of seed quality, which could be detained by germinating the s... more 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, s...
IOP Conference Series: Earth and Environmental Science, 2019
The duration of the VCO oil extraction process affects quality. The centrifugation method produce... more The duration of the VCO oil extraction process affects quality. The centrifugation method produces high VCO quality but requires expensive in investment and operational costs. The acidification method with solar heat was produced VCO, but it took quite a long time (8-12 hours) with the success rate depending on the weather. This study aims to increase the success rate of acidification with a solar heat method through the use of solar heater. It also compares it with the standard of coconut oil quality requirements in SNI 01-2902-2001. The study was conducted in Malonas Village in 2016 involving 15 women farmers. The VCO was analyzed at the BB Pascapanen Laboratory, Bogor. The acidification/ chemistry method of VCO was tested in a solar heater and without it. The incubation process is carried out by observing the temperature, yield and drying time. VCO was tested for the percentage content of free fatty acids (FFA), yield, visual and aroma test. The result was decreased in processing time in separation coconut milk to oil, water, and blondo from 8.30 hours + 0.51 (without solar heater) to 3.45 hours + 0.16. Oil yield increased by 0.9% and the FFA level was below SNI standard and APCC.
Journal of Agricultural and Biosystem Engineering Research, 2021
Pemenuhan kebutuhan pangan di dalam perkotaan dapat dilakukan melalui pemanfaatan lahan dan air y... more Pemenuhan kebutuhan pangan di dalam perkotaan dapat dilakukan melalui pemanfaatan lahan dan air yang lebih efisien dengan sistem tanam hidroponik. Penggunaan aliran nutrisi tertutup merupakan suatu cara untuk mengurangi biaya dan meminimalkan dampak lingkungan dari sistem hidroponik. Dalam sistem tertutup, sangat penting untuk menentukan konsentrasi nutrisi dalam larutan sisa untuk mengisi kembali larutan nutrisi dengan komposisi hara optimal. Saat ini pengukuran ketersediaan hara di dalam larutan nutrisi berdasarkan konduktifitas listrik (EC) yang memiliki kelemahan karena EC meter hanya dapat menggambarkan konduktifitas listrik dari total ion dan tidak mengukur konsentrasi masing-masing ion secara individu sehingga tidak dapat memantau kebutuhan tanaman secara real-time terhadap masing-masing ion di dalam larutan nutrisi. Untuk mengatasi permasalahan tersebut maka saat ini telah mulai dikembangkan teknologi ion selective electrodes (ISE) yaitu suatu sensor berupa elektroda yang da...
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