A. Amir, A.
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The Potency of Zero Waste Model through an Integration of Dairy Cattleand Cassava Plants Amir, A.
Jurnal Ilmu dan Teknologi Peternakan Vol 5, No 1 (2016)
Publisher : Fakultas Peternakan, Universitas Hasanuddin, Makassar

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Abstract

The aim of this paper is to discuss integrated farming system between cassava plants (Manihot utilissima) and dairy cattle. This model is directed to extend the production cycle by optimum utilization of waste. The main product of dairy cattle is milk while feces as a byproduct. The feces is processed to produce biogas and fertilizer for cassava plants. The main product of the cassava is tubers and its byproduct such as bark and leaves can be further processed into animal feed in form of concentrates and silage for dairy cattle. Discussion is based on the principles of integrated farming system. The main principles cover food, feed, fuel, and fertilizer. Data used in this experiment are secondary data and primary data which are related to productivity of cassava plant and dairy cattle using SWOT analysis. The results of study indicated cassava and dairy cattle meet the concept of the integrated farming system.  Milk and cassava are food products having good nutrition. Such cassava byproducts as tapioka, gaplek, onggok meal and and cassava leave silage can be utilized as animal feeding. Biogas technology can produce alternative energy and fertilizer for soil fertility. The analysis showed the strengths, weaknesses, opportunities and threats. The strength is that West Java Province has the second highest population of dairy cows after East Java with total population reach 135,345 heads. In addition, it has 85,288 ha of cassava plantation area producing 2,000,224 tons/year. The weakness of the integrated system can be seen on the issue of low productivity of dairy cows and a longer cassava harvest time compared with that of rice and corn. This model has opportunity in terms of additional economic value for the farmer’s income with an environmentally friendly concept. The threats faced are adoption rate, knowledge of human resources, and land to implement the integrated farming system. The strategy that should be implemented is harmonization and coordination among stake holders which should focusing on the farmer development in terms of increasing their welfare.
RESPON TERMOREGULASI SAPI PERAH PADA ENERGI RANSUM YANG BERBEDA (Thermoregulation Response of Dairy Cows on Different Energy Content) Amir, A.; Purwanto, Bagus P.; Permana, Idat G.
Jurnal Ilmu dan Teknologi Peternakan Vol 5, No 2 (2017)
Publisher : Fakultas Peternakan, Universitas Hasanuddin, Makassar

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Abstract

The problems faced in dairy cows, among others, is the temperature adaptability in a tropical climate. Low thermal resistance will affect their productivity. This study was conducted to investigate the effect of ration energy on thermoregulatory responses in dairy cows. This research was carried out according to the Latin square design 4 x 4, with 4 treatments ration composition. The variables observed were thermoregulatory responses (body temperature, heart rate, respiration rate), total digestible nutrient (TDN) and body weight gain of dairy cows. The data were statistically analyzed to obtain the mean, standard deviation, variance, descriptions and simple regression analysis. There was a real effect due to treatment ratio energy to body temperature, heart rate, and respiration rate. Ration energy consumption in this study led to the increase of thermoregulatory response from low to high TDN. Therewas a linear relationship between body temperature and TDN intake. Based on the regression analysis, TDN intake signifcantly affected (P<0.01) body temperature with a coeffcient of determination (R2 ) of 0.966. It means that 96.6 percent of the variability in body temperature of dairy cows and can be explained by the independent variables being used in the regression model
The Potency of Zero Waste Model through an Integration of Dairy Cattleand Cassava Plants Amir, A.
Jurnal Ilmu dan Teknologi Peternakan Vol 5, No 1 (2016)
Publisher : Fakultas Peternakan, Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aim of this paper is to discuss integrated farming system between cassava plants (Manihot utilissima) and dairy cattle. This model is directed to extend the production cycle by optimum utilization of waste. The main product of dairy cattle is milk while feces as a byproduct. The feces is processed to produce biogas and fertilizer for cassava plants. The main product of the cassava is tubers and its byproduct such as bark and leaves can be further processed into animal feed in form of concentrates and silage for dairy cattle. Discussion is based on the principles of integrated farming system. The main principles cover food, feed, fuel, and fertilizer. Data used in this experiment are secondary data and primary data which are related to productivity of cassava plant and dairy cattle using SWOT analysis. The results of study indicated cassava and dairy cattle meet the concept of the integrated farming system.  Milk and cassava are food products having good nutrition. Such cassava byproducts as tapioka, gaplek, onggok meal and and cassava leave silage can be utilized as animal feeding. Biogas technology can produce alternative energy and fertilizer for soil fertility. The analysis showed the strengths, weaknesses, opportunities and threats. The strength is that West Java Province has the second highest population of dairy cows after East Java with total population reach 135,345 heads. In addition, it has 85,288 ha of cassava plantation area producing 2,000,224 tons/year. The weakness of the integrated system can be seen on the issue of low productivity of dairy cows and a longer cassava harvest time compared with that of rice and corn. This model has opportunity in terms of additional economic value for the farmer’s income with an environmentally friendly concept. The threats faced are adoption rate, knowledge of human resources, and land to implement the integrated farming system. The strategy that should be implemented is harmonization and coordination among stake holders which should focusing on the farmer development in terms of increasing their welfare.
Motor imagery classification in Brain Computer Interface (BCI) based on EEG signal by using machine learning technique E. Md Isa, N.; Amir, A.; Z. Ilyas, M.; S. Razalli, M.
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.133 KB) | DOI: 10.11591/eei.v8i1.1402

Abstract

This paper focuses on classification of motor imagery in Brain Computer Interface (BCI) by using classifiers from machine learning technique. The BCI system consists of two main steps which are feature extraction and classification. The Fast Fourier Transform (FFT) features is extracted from the electroencephalography (EEG) signals to transform the signals into frequency domain. Due to the high dimensionality of data resulting from the feature extraction stage, the Linear Discriminant Analysis (LDA) is used to minimize the number of dimension by finding the feature subspace that optimizes class separability. Five classifiers: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naïve Bayes, Decision Tree and Logistic Regression are used in the study. The performance was tested by using Dataset 1 from BCI Competition IV which consists of imaginary hand and foot movement EEG data. As a result, SVM, Logistic Regression and Naïve Bayes classifier achieved the highest accuracy with 89.09% in AUC measurement.