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All Journal Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development
A. Putra
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Environmental Science Transportation Veterinary Other

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Pemodelan Resiko Kecelakaan Berbasis Kondisi Kendaraan dan Pengemudi Putra, A.; Narendra, A.
REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development Vol. 2, Issue 2 (September 2021)
Publisher : Civil Engineering Department, Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/renstra.v2i2.332

Abstract

Traffic accidents are particularly prone to occur mainly caused by vehicle speed, vehicle damage, alcohol influence, and fatigue. The study aims to model the risk of vehicle and driver-based accidents occurring across Queensland, Australia. The data in this study used a dataset of accident factors on Queensland state roads totaling 3412 accidents sourced from the Australian state government of Queensland. Research data period from 2001-2019. This research method uses multinomial logistic regression modeling analysis. The results of this study produced several models, namely; (1) Log odds in the risk level of death vs hospitalization will increase by 1,028 if affected by vehicle damage, increase by 0.731 if affected by fatigue, increase by 0.158 if affected by vehicle speed, increase by 0.151 if influenced by alcohol. (2) Log opportunities in the risk level of death vs. medical care will increase by 0.786 if affected by vehicle damage, increase by 0.375 if affected by fatigue, decrease by 0.003 if affected by vehicle speed, decrease by 0.078 if influenced by alcohol. (3) Log odds in the risk of death vs minor injury will increase by 0.484 if affected by vehicle damage, increase by 0.245 if affected by fatigue, decrease by 0.156 if affected by vehicle speed, decrease by 0.266 if influenced by alcohol. (4) Log odds in the risk of death vs property damage will increase by 1,254 if affected by vehicle damage, increase by 0.828 if affected by fatigue, increase by 0.185 if influenced by vehicle speed, increase by 0.128 if influenced by alcohol. The validation test value with crosstab method explains that the accuracy result of level 1 has an accuracy value of 0.99 and inaccuracy of 0.01 then the result of level 2 to level 5 has an accuracy value of 1.
Frequency of use minute concentrations of cadmium in aqueous solution by near infrared spectroscopy and aquaphotomics Hesti Meilina; A. Putra; R. Tsenkova
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 1, No 2 (2011): Engineering
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (150.306 KB)

Abstract

Cadmium (Cd) is a common industrial pollutant with long biological half-life, which makes it a cumulative toxicant. Near-infrared spectroscopy has been successfully used for quick and accurate assessment of Cd content in agricultural materials, but the development of a quick detection method for ground and drinking water samples is of equal importance for pollution monitoring. Metals have no absorbance in the NIR spectral range, thus the methods developed so far have focused on detection of metal-organic complexes. This study uses Aquaphotomics to measure Cd in aqueous solutions by analyzing the changes in water spectra that occur due to water-metal interaction. Measurements were performed with Cd (II) in 0.1 M HNO3, in the 680-1090 nm (water second and third overtones) and 1110-1800 nm (water first overtone) spectral regions, and were subjected to partial least-square regression analysis. A concentration of Cd from 1 mg L-1 to 10 mg L-1 could be predicted by this model with average prediction correlation coefficient of 0.897. The model was tested by perturbations with temperature and other metal presence in the solution. The regression coefficient showed consistent peaks at 728, 752, 770, 780, 1362, 1430,1444, 1472/1474 and 1484 nm under various perturbations, indicating that these water absorbance changes were due to Cd presence. The residual predictive deviation values (RPD) were greater than 2, indicating that the model is appropriate for practical use
Persentase dan Kualitas Karkas Itik Cihateup-Alabio (CA) pada Umur Pemotongan yang Berbeda Putra, A.; Rukmiasih, Rukmiasih; Afnan, R.
Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan Vol. 3 No. 1 (2015): Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan
Publisher : Department of Animal Production and Technology, Faculty of Animal Science, IPB University in associated with Animal Scientist's Society of Indonesia (HILPI)

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Abstract

Low demand of duck meat is influenced by its quality. Generally, ducks slaughtered at 8 weeks have low carcass quality. Slaughter age is expected to influence carcass quality. Therefore, the study of carcass quality in different slaughter ages (8, 10, and 12 weeks) is needed. This research used 32 males and 18 females cihateup-alabio (CA) ducks. Ducks were grouped by hatching period. The experiment design was randomized block factorial (3x2). Treatments were slaughter age and sex. Traits measured were slaughter weight, percentage of carcass and its parts, physical and sensory quality of duck carcass. The result showed that interaction of slaughter age and sex affect slaughter weight. The higher slaughter age resulted higher breast and abdominal fat percentage, but had smaller thigh percentage. Sex had no effect on carcass percentage and its parts. Higher slaughter age and male sex showed better phisycal carcass quality. Differences in slaughter age and sex had no effect on panelist preference. This research concluded that higher slaughter age produces better carcass percentage and quality.
Co-Authors Afnan, R. Hesti Meilina Narendra, A. R. Tsenkova Rukmiasih Rukmiasih