Article Per Year (5 Year)
p-Index From 2019 - 2024
2.17
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Pertanian Indonesia Teknotan: Jurnal Industri Teknologi Pertanian BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Keteknikan Pertanian Perfecting a Video Game with Game Metrics Jurnal Penelitian Pascapanen Pertanian Jurnal Penelitian dan Pengembangan Pertanian Jurnal Penelitian Tanaman Industri Jurnal Tanaman Industri dan Penyegar Jurnal Penelitian Pertanian Tanaman Pangan Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL PANGAN Jurnal Teknologi Pertanian Andalas Jurnal Mutu Pangan : Indonesian Journal of Food Quality Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Jurnal Penelitian Tanaman Industri (Littri) Jurnal Penelitian dan Pengembangan Pertanian BIODIVERS - BIOTROP Scientific Magazine
Usman Ahmad
Departemen Teknik Mesin Dan Biosistem, Fakultas Teknologi Pertanian IPB
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Veterinary Other

Published : 57 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Penelitian Pertanian Tanaman Pangan

 1 
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.
Identifikasi Infeksi Cendawan Patogen pada Jagung Pipil dalam Penyimpanan Suhu Ruang Nofiyanti, Sri Handayani; Ahmad, Usman; Tondok, Efi Toding
Jurnal Penelitian Pertanian Tanaman Pangan Vol 5, No 2 (2021): Agustus 2021
Publisher : Pusat Penelitian dan Pengembangan Tanaman Pangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jpptp.v5n2.2021.p134-142

Abstract

Postharvest handling of shelled corn often faces problems caused by fungal attacks during storage, resulting deterioration due to physical and biological damages. This study aimed to identify various pathogenic fungi that infected shelled corn during storage through the characteristics and growth phases of each fungus as well as to find out the interaction between fungi and shelled corn based on the different parts of kernel structure infected by the fungus. The blotter test method (ISTA) was used to isolate the fungal pathogens from infected shelled corn then purified and cultivated on PDA. Subsequent, microscopic and macroscopic observations were made by capturing images for eight days. Observations showed that Aspergillus spp predominantly infected the pericarp of the shelled corn (61%), Penicillium sp (15%) tended to infect the tip cap, Talaromyces sp (13%) on the endosperm, and Rhizopus sp (11%) on the germ. The largest colony areas after 8-day incubation were Rhizopus sp, followed by Aspergillus spp, Talaromyces sp, and Peniillium sp. The fungus growth phase had a logarithmic pattern with different time for each stage. Therefore, this pattern can be used as a reference for proper preventing time in shelled corn storage before the fungi can produce mycotoxins in the stationary phase and also the possibility to use the fungi as biological agents, such as antibiosis, competition, or parasite.
Co-Authors . Sabihah . Yulianingsih Adi Sutrisno Ali Djamhuri Aris Purwanto Armansyah H. Tambunan Baskara Edi Nugraha Christina Winarti Dedy Wirawan Soedibyo Desrial Desrial Desrial Desrial Diding Suhandy Dwi Dian Novita Dwi Pamungkas Bermani Eko Heri Purwanto Emmy Darmawati Enrico Syaefullah Evi Savitri Iriani Fahim Muchammad Taqi Fahmi Riadi Fajar Kurniawan Firdaus, Jonni Hadi K Purwadaria Hani Fildzah Nadya I Dewa Made Subrata I Dewa Made Subrata I Dewa Made Subrata I Wayan Budiastra Iman Sabarisman Inge Scorpi Tulliza Irriwad Putri Jati Sumarto Putro Khalimatus Sa'diyah Kudang Boro Seminar Lilik Pujantoro Eko Nugroho Lydia Ariani Mar'atus Sholihah Mardison Mardison Mardison S. Meika Wahyuni Azrita Meivie Lintang Mohamad Rafi Mohamad Rahmad Suhartanto Monika Marpaung Mudho Saksono Muhammad Sudirman Akili Muhammad Yusuf Antu MUHAMMAD YUSUF ANTU Nanda Supriana Nanda Wisha Ranawati nFN Mardison nFN Sarastuti nFN Sutrisno nFN Sutrisno Nijma Nurfadila Nijma Nurfadila Nikmatul Hidayah Nofiyanti, Sri Handayani Nugraha Edhi S Nugraha Edhi Suyatma Nur Rahma Refilia Putri Wulandari Zainal Rizka Wildani Rokhani Hasbullah Rokhani Hasbullah Rosyid Ridho Rudy Tjahjohutomo Samsudin Samsudin - Samsudin Samsudin Samsudin Samsudin Sarastuti Sarastuti Sarastuti, Sarastuti Selvi Marcellia Sjahrul Annas Slamet Ari Dwi Ratnanto Slamet Widodo Sri Lestari Sri Widowati Suci Rahmi Sukrisno Widyotomo Suroso . Sut risno Sutrisno Sutrisno - Sutrisno . Sutrisno . Sutrisno Sutrisno Tondok, Efi Toding Verra Mellyana Waqif Agusta Wawan Hermawan Wendianing Putri Luketsi Yusianto Yusianto