bluuebunny/crossref_metadata_2025 huggingface dataset:
A comparative Study on Graduates’ Employment in Malaysia by using Data Mining
Authors: Binti A’rifian Nur Iman Natasha , Binti Mohd Daud Nur Sakinah Amirah , Muhamad Romzi Athirah Faiz Binti , Binti Md Shahri Nur Huda Nabihan
Published: November 2019

This study implements data mining to extract knowledge by analysing the graduates’ employment dataset from year 2017 obtained from Ministry of Higher Education (MoHE). The objective of this study is to compare three predictive models which are Decision Tree (DT), Logistic Regression (LR) and Artificial Neural Network (ANN). Besides, this study is also done to determine the best predictive model for predicting graduates’ employment sectors whether in public sector or private sectors. Every graduate student wishes to choose the right path in determining which sectors they are going to be entered, either to the public or private sectors. Usually, most graduates in Malaysia prefer the employment in the public sector rather than the private sector. Using data mining to discover the relationship and patterns can help in making a better decision. Prediction model is a must to determine the best performance when dealing with the large data set which helps the graduates to choose a sector based on the type of data or information that he/she furnishes. Based on the analysis, Artificial Neural Network (ANN 5) is the best model in predicting placement of employed graduates whether in public sector or private sector compared to the other models. ANN 5 is the highest accuracy at 81.52% and sensitivity at 65.67% while for the specificity of ANN 5 is 91.44%. The misclassification rate of ANN 5 is 18.48% which is the lowest compared to the other models. Overall, ANN 5 is the best model to predict negative target which is graduates employed in private sector since the value of specificity is higher than sensitivity. The result of this study can be used by government, universities and other responsible agencies in order to predict whether graduates will be employed in public or private sectors.
Modeling Dengue Fever Cases by Using GSTAR(1;1) Model with Outlier Factor
Authors: Mukhaiyar Utriweni , Huda Nur’ainul Miftahul , Novita Sari RR Kurnia , Pasaribu Udjianna Sekteria
Published: November 2019

Dengue fever is an endemic disease transmitted through the Aedes Aegypti mosquitos. Dengue virus can be transmitted from human hosts who have been infected by the virus to the mosquitoes to be transmitted back to other humans. So that, it is possible for the virus to be transmitted to several surrounding locations. Aedes Aegypti is one of the dengue mosquitoes that likes a warm climate and not too wet or dry. In addition, many un-expected factors can cause a significant increase in the number of dengue fever cases. So that the number of dengue fever cases can increase significantly far different from other data. An observation data that has different characteristics from others is called outlier. The existence of outliers can indicate individuals or groups that have very different behavior from the most of the individuals of the dataset. Outlier data in a data set are often encountered in various kinds of data analysis. Frequently, outliers are removed to improve accuracy of the estimators. But sometimes the presence of an outlier has a certain meaning, which explanation can be lost if the outlier is removed. In this paper, modeling dengue fever cases using GSTAR(1;1) with outlier factors was firstly proposed.
Comparison between EM Algorithm and Multiple Imputation on Predicting Children’s Weight at School Entry
Authors: Avtar S S , Khuneswari G P , Abdullah A A , McColl J H , Wright C , Team GMS
Published: November 2019

EM Algorithm and Multiple Imputation are widely used methods in dealing with missing data. Although Multiple Imputation always be the favourite choice of researcher due to its accuracy and simple application, but the issue arises whether EM algorithm perform better with several times of imputation. Both methods will be tested using different number of imputations with the help of Amelia and Mice package in R software. The imputed data sets are compared using model averaging with Corrected Akaike Information Criteria (AICC) as model selection Criterion. External validation and mean squared error of prediction (MSE(P)) are used to determine the best imputation method. Gateshead Millennium Study (GMS) data on children weight will illustrate the comparison between EM Algorithm and Multiple imputation. The results show that Multiple imputation performs slightly better compared to EM Algorithm.
ARIMA and Symmetric GARCH-type Models in Forecasting Malaysia Gold Price
Authors: Yaziz Siti Roslindar , Zakaria Roslinazairimah , Suhartono
Published: November 2019

Gold price modelling is crucial in gold price pattern determination since the information can be used for investors to enter and exit the market. The model selection is important and corresponds to the gold price movement characteristics. This study examines the forecasting performance of autoregressive integrated moving average (ARIMA) with symmetric generalised autoregressive conditional heteroscedastic (GARCH)-type models (standard GARCH, IGARCH and GARCH-M) under three types of innovations that are Gaussian, t and generalized error distributions to model gold price. The proposed models are employed to daily Malaysia gold price from year 2003 to 2014. The empirical results indicate that ARIMA(0,1,0) - standard GARCH(1,1) using t innovations is the most preferred ARIMA with symmetric GARCH-type model.
Isolated truncated chain deferred sampling plan for Weibull product life distribution
Authors: Braimah J O , Osanaiye P A
Published: November 2019

In this article, an Isolated Truncated Chain deferred Sampling Plan for Weibull product life distribution is proposed when the testing is truncated at a specified time. This type of sampling plan is used to save the testing time. The optimal sample sizes, required for testing product quality to ascertain a true mean life are obtained under a given Maximum Allowable Percent Defective, test termination ratios and acceptance numbers. The operating characteristics formula of the proposed plan was developed. The operating characteristics and mean-ratio were used to assess the performance of the plan. The study revealed that: Weibull distribution have low failure rate; as mean life ratio increase, the failure rate reduces and the minimum sample size increase as the acceptance number, maximum allowable percent defective and experiment time ratio increases; The study concluded that the modified required minimum sample sizes were smaller compared to those in the literature making it a more economical plan to be adopted when time and cost of production is expensive and the testing is destructive.
A cross-scale worldwide analysis of coastal adaptation planning
Authors: Olazabal Marta , Ruiz de Gopegui Maria , Tompkins Emma L , Venner Kayin , Smith Rachel
Published: November 2019

The Paris Agreement requires measurement of the progress made on adaptation. Tracking the progress made by governments through analysis of policies provides insight into the goals and means to achieve adaptation targets. Here we show the current state-of-the-art in public adaptation planning affecting 136 of the largest coastal port urban agglomerations, covering 68 countries. We identify 226 adaptation policies: 88 at national level, 57 at regional/state level and 81 at city/metropolitan level. This set of adaptation policies can be considered the latest, most up-to-date database of governmental and public-led adaptations. Our analyses show that (1) in one half of cases, there is no evidence of policy implementation, (2) in almost 85% of cases, planned adaptation actions are not driven by present or future climatic impacts or risks, and (3) formal adaptation planning is relatively recent and is concentrated in more developed areas and countries.
Intensifying of reflected radiation under oil palm canopy and its effect on growth and production of soybean
Authors: Hidayat T , Koesmaryono Y , Impron  , Ghulamahdi M
Published: November 2019

The main problem of cultivating soybeans under the stands of oil palm plantations in the low intensity of solar radiation. The aim of this study was to analyze the effect of reflective mulch application on the growth, physiology, and production of soybeans cultivated as intercropping under oil palm plantation stands. The study was carried out at Cimarga Banten Indonesia using a two-factor randomized nested design with three replications. The treatments consist of two factors, viz different age of oil palm stands and types of reflected mulches. The use of reflective mulch would increasing albedo, as well as in intensifying reflected radiation of land surface by 29% for organic mulch and by 49% for inorganic mulch. The application of organic and inorganic reflective mulches could increase the interception of solar radiation by soybean plants and had positive effects on height, stem diameter, leaf area index, biomass, and radiation use efficiency. The use of organic reflective mulch increased the amount of relative leaf chlorophyll in shaded conditions and the amount of chlorophyll in the upper, middle and lower position leaves. Organic and inorganic reflective mulches had a significant effect on increasing the number of fill pods, production, and weight of 100 soybean grains.
Computer simulation to determine food irradiation dose levels
Authors: Bliznyuk U A , Yu Borchegovskaya P , Chernyaev A P , Avdukhina V M , Ipatova V S , Leontiev V A , Studenikin F R
Published: November 2019

This study provides the algorithm for the estimation of the dose absorbed by minced trout and pieces of chilled trout during 1 MeV electron irradiation. The algorithm uses programming code GEANT 4 based on Monte-Carlo method. The simulation takes into account the electron spectrum as well as the geometry samples. Ferrous sulfate (Fricke) dosimeter and film dosimetry were used to check the algorithm and control the dose parameters during irradiation. The difference between dose rate measured by Fricke dosimeter and simulated dose rate was less than 8 %. The difference between dose rate measured by dosimetric films and simulated dose rate was less than 12 %. The suggested dose estimation algorithm proved to be effective as it successfully determined the dose absorbed by minced trout and pieces of trout. Dosimetry systems can only control the parameters during irradiation treatment. This algorithm can be used to determine the irradiation dose for a product of various geometry, substance, and density.
The relationship between land surface temperature and water index in the urban area of a tropical city
Authors: Achmad A , Zainuddin  , Muftiadi M
Published: November 2019

This study investigated the pattern of urban heat island changes based on the relationship between land surface temperature and the water index in Banda Aceh City for 1998 and 2018. Landsat TM 1998 and Landsat OLI-TIRS 2018 were used in this study, which represents the conditions before and after the tsunami. Analysis of data used Geographic Information System (GIS) and Remote Sensing (RS). The Land Surface Temperature (LST) was negatively related to the normalized difference water index (NDWI).
Classification of brain activity rate based on electro-encephanographical signal on smokers using learning vector quantization
Authors: Setiawan H
Published: November 2019

There are several harmful substances contained in cigarettes, one of which is nicotine. Nicotine is one of additive that makes addiction that is why smokers want to continue smoking cigarettes regularly. Nicotine is bound to the brain receptors and in other organs. Increased activity in the orbitofrontal cortex area occurs when smokers want cigarettes, while in the prefrontal cortex the activity increases when smokers smoke cigarettes. Increased activity in the area will produce electricity along the scalp which can be measured using Electroencephalography (EEG). The difference in ion current voltage will provide information on the level of addiction to cigarettes so that they can be classified. Classification is done in 3 classes, namely low dependence, moderate dependence and high dependence. According to the results, it was found that the level of accuracy of the introduction of the decency level reached 50.63%.
Measuring the range of recommended monthly prices and quantities supplied of patchouli oil: a case of Gayo Lues patchouli
Authors: Juanda  , Sutiarso L , Maksum M , Ismoyowati D
Published: November 2019

The drop of patchouli oil production in the beginning 2018 because many producers in Gayo Lues have switched to other commodities when range of the (monthly) prices were too often fluctuating below their expectations, lower than IDR. 500,000, due to increase in total quantities supplied during 2017. This research is aimed to develop a stability model in order to measure a recommended monthly range of stable prices offered by middlemen as local buyers and quantity supplied by producers. The model was developed based on the cobweb model theorem and by using statistical analysis of regression linear model to process prices and quantities supplied data of the oil at equilibrium points. The research result indicates that most producers sell their oils directly to middlemen. The middlemen adjusted prices monthly based on amount of actual quantity supplied. While on the producers’ side, it is assumed that their quantities supplied were influenced by their last observed prices. The result also shows that the model can be used to measure the range of optimum prices and monthly quantities supplied, which are between IDR 480,593 dan IDR 588,089 for the prices, and between 1,721.35 kg and 1,872.65 kg for the quantities supplied to the middlemen (samples) or between 3,431.95 kg and 3.733.61 kg for those to the local markets in Gayo Lues. These numbers can be used as reference data for managing the monthly quantities supplied e.g. by establishing community storage at producers level or finding new markets.
Development of rapid visual screening form for Nepal based on the data collected from - its 2015 earthquake
Authors: Rupakheti D , Apichayakul P
Published: November 2019

An earthquake on the 25th April 2015 in Nepal caused more than 9,000 deaths and 22,000 causalities. The main reason for such huge casualties is the lack of earthquake awareness and poor construction practices. With a large number of vulnerable houses, Nepal faces a huge risk from future earthquakes, due to the recent construction in urban areas of poorly designed and constructed buildings. Such unplanned and haphazard growth will be potentially dangerous from natural events like earthquakes. A vulnerability map gives the exact location of sites where people, natural environments and or properties are at risk due to a potentially catastrophic event. This will allow them to decide on mitigating measures to prevent or reduce loss of life, injury and environmental consequences before a disaster occurs. While Rapid Visual screening is a classical method of preliminary vulnerability study, it is one of the most economical, reliable, simple and efficient methods to determine the vulnerability level of buildings. The most known rapid visual screening methods have been developed in countries of high seismic risk such as the USA, Japan, Indonesia, New Zealand, India and Canada and are briefly described in this paper. The main objective of this paper with the help of ordinal regression is to calculate variables of damage grade model in a rapid visual screening form. This is useful to identify vulnerable and non-vulnerable buildings very quickly, and help make a plan for the implementation of a disaster risk mitigation program. Based on SPSS Statistics Software, an ordinal regression method was used to model the relationship between outcome variables. The analysis was performed by employing a database after the 25th April Gorkha earthquake of 2015. Preparing RVS special features of buildings in Nepal, have been given due consideration, and were evaluated for adherence of age, plan configuration, position, land surface condition, plinth area, building height, floor count, foundation types, ground floor types, roof types, condition, are highly significant parameters in analysing the vulnerability of them during an earthquake.
Rapid Prediction of Soil Quality Indices Using Near Infrared Spectroscopy
Authors: Yunus Y , Devianti  , Satriyo P , Munawar Agus A
Published: November 2019

To determine soil macro nutrients and other quality indices, conventional and laborious procedures were employed. However, this method is time consuming, involve chemical materials and laborious. Thus, alternative fast and environmental friendly method is required to determine several quality indices in agricultural soil. This present study is aimed to apply near infrared spectroscopy (NIRS) in determining soil macro nutrients namely N, P and K. Diffuse reflectance spectrum of soil samples were acquired and recorded in wavelength range from 1000 to 2500 nm. Near infrared spectrum were enhanced using de-trending (DT) method. Prediction models, used to predict N, P and K, were established using principal component regression (PCR) algorithm followed by leverage validation. The results showed that NIRS method can determine all three quality indices with good accuracy and robustness. Maximum correlation coefficient (r) for N, P, K prediction were achieved using DT correction method with r = 0.86 for N prediction, r = 0.90 for both P and K prediction. Based on obtained results, it may conclude that NIRS can applied as an alternative rapid and simultaneous method in predicting soil quality indices.
Liquid Smoke Antimicrobial Test of Cocoa Fruit Peel Against Eschericia Coli and Staphylococcus Aureus Bacteria
Authors: Budaraga I K , Putra D P
Published: November 2019

Cocoa fruit peel is one of the natural wastes that has not been widely used. Cocoa fruit peel is thought to have secondary metabolites that can kill bacteria. The purpose of this study is to determine the antibacterial properties of liquid cocoa peel smoke and, determining minimum inhibitory concentration as well as concentration growth of Escherichia coli and Staphylococcus aureus pathogenic bacteria. This research had been conducted in April to May 2019. Testing of antibacterial activity was Well method. The results of study showed that the liquid smoke of cocoa peel at 10% moisture content was able to inhibit the growth of E.coli and, S.aureus bacteria at the highest level compared to the liquid smoke of brown skin moisture content of 15%, 20% and 25%. The inhibitory zone value in Cocoa fruit peel liquid smoke with moisture content of 10% against E.coli bacteria was 25.1 mm, while S.aureus bacteria had an inhibition zone value of 32.6 mm. E.coli bacteria showed stronger resistance compared to S.aureus. This was indicated by the E.coli inhibition zone was smaller than the S. Aureus inhibition zone. The minimum inhibitory concentration and, the minimum kill concentration in a row were at concentrations of 3.125% and 12.5% for E.coli bacteria.
Monitoring species diversity using camera traps in Ulu Masen ecosystem, Aceh Province, Indonesia
Authors: Radinal  , Kiswayadi D , Akbar M , Boyhaqi T , Gumay D W
Published: November 2019

Camera traps are increasingly used to remotely monitor the population and distribution of a variety of species, including a number of threatened and elusive species over large geographical areas, with little human intervention/disturbance. Between April and September 2017, we deployed 150 camera traps at 75 stations, with two camera traps at each station, to monitor species diversity in the Ulu Masen Ecosystem in Aceh, Indonesia. We identified a total of 33 species that included three ‘Critically Endangered’, one ‘Endangered’, nine ‘Vulnerable’, seven ‘Near Threatened’ and 13 ‘Least Concern’ species over 121 days with a total of 554 trap night/100 km2 and Relative Abundance Index (RAI) of 51.93 frames/100 trap nights. Critically endangered species recorded included Panthera tigris sumatrae (three individuals and 17 independent photos), Elephas maximus sumatranus (17 independent photos), and Manis javanica (one independent photo), while Cuon alpinus was the only endangered species (EN) recorded. Our results indicate that the Ulu Masen still harbours a variety of rare and elusive species that need to be protected. Deriving reliable abundance estimates and distribution especially for rare and endangered species from camera traps is an important step in conservation and can be used to guide the management of these ecologically valuable species.
Performance Test of Vertical Rotary Blade to Cut Sugarcane Stumps with Two Wheel Tractors
Authors: Syafriandi  , Lubis Andriani , Fachruddin  , Arifin Nur
Published: November 2019

Many efforts have been carried out to boost sugarcane production through increased productivity, namely land preparation, seed repairs, fertilization, irrigation, plant maintenance and pest control. Thus, performance is very important because it will determine the quality of sugar cane. To date, sugarcane crabs is still performed manually with co-added of hoe equipment. Cutting with hoes in addition to low capacity and expensive costs, the yield is also less than expected. According to practitioners in the field, a good cutting stump requires the stump below the surface of the ground and the shaped like “U, V or W” The purpose of this study was to examine the cutting angle of the sugarcane cutting tool using 3 cutting angles of the blade that rotates vertically with two-wheeled tractor power. The highest percentage growth of shoots in each week after treatment is in the cut angler of 0° which is equal to 17.78% at 7 days after teratment to 86.67%, yet, the growth in height and diameter of shoots is the lowest treatment.
Utilization of Purun Tikus (Eleocharis dulcis) as Bioboard Raw Material with Heat Press
Authors: Rahmawati W , Haryanto A , Tamrin  , Tindaon G D R
Published: November 2019

Forests is an abundant natural resource that provide our wood needed. Nowadays, forest barely able to maintain the optimum condition due to the high rate of deforestation because of fulfilled wood consumption and also forest degradation. There is an alternative to substitute wood fiber such as purun tikus. Purun tikus (Eleocharis dulcis) are wild plants that can adapt well to tidal swamp land. Research conducted with 2 factors of Factorial Complete Randomized Design. Factor 1 is giving tapioca adhesive with 4 levels of treatment, 0%, 10%, 20%, and 30%. Factor 2 is giving pressure load using hot press with 2 levels of treatment, 5 MPa and 8 MPa. The best treatment to obtain low density according to on SNI 01-4449-2006 fiber board that occurs in the treatment without the provision of adhesives while to get a fiber board with a medium density that occurs in the treatment by giving adhesive 10%, 20%, and 30%.
Strengthening the Farmers’ Intellectual Capital of Kebumen Ongole Grade Cattle Related to Livestock Productions to Face the Industrial Revolution Era 4.0
Authors: Sugiarto M , Nur S , Djatmiko O E , Wakhidati Y N , Einstein A
Published: November 2019

Intellectual capital is the farmers’ intangible asset related to human, relational and structural capital. Human capital is in the form of knowledge and skills; relational capital is the ability to interact with markets, consumers, and others; while structural capital is the ability to develop innovations and to manage the household organizations. This research aims at identifying the farmers’ intellectual capital of Kebumen Ongole grade cattle related to the livestock productions and analyzing the factors strengthening the farmers’ intellectual capital. The survey was conducted on 147 farmers of Kebumen Ongole grade cattle through a multistage sampling method. The obtained data were then analyzed using the descriptive statistical and spearman ranking correlation test. The results showed that the farmers have already had adequate intellectual capital with the score of 116.92. The farmers’ ability related to information access and education are important factors to strengthen the farmers’ intellectual capital (P<0.01). The farmers’ ability to access information and education are considered essential in order to strengthen the farmers’ intellectual capital.
Economic Contribution of Duck Production Systems in Banten Province, Indonesia
Authors: Hadiatry M C , Komarudin  , Oosting S J
Published: November 2019

A study on duck production systems was conducted in Banten Province, Indonesia. The objective of the study was to assess the economic contribution of duck production systems for smallholders’ livelihood. Four duck production systems were distinguished in the research area; a fully yarded-small scale system (DPS 1), a fully yarded-large scale system (DPS 2), a combination of yarded and scavenging system (DPS 3) and a combination of herded, scavenging and yarded system (DPS 4). Primary data was gathered from 43 respondents using a questionnaire. The economic parameter such as costs, benefits, gross margin and income contribution from each duck production system were calculated. Data were analyzed using the Kruskall-Wallis test. From the result, the highest family labor time was in DPS 4 (7.0±0.48 hours/hh/day) and the lowest was in DPS 2 (2.0 ± 1.00 hours/hh/day). Compared to other systems, DPS 2 had the highest labor cost (14,400 ± 4,800 (thousand IDR/year)) and gross margin (131,875.65 ± 28,152.85 (thousand IDR/year)). In Banten Province, duck production systems contributed to smallholders’ livelihoods. In some cases, it only gave a small contribution (DPS 3) or even negative contribution (DPS 1) to the households’ income. In other cases, it resulted in good output (DPS 2 and DPS 4).
Livestock and Animal Specialities Company in ASEAN: Intellectual Capitals and Performances
Authors: Pratama B C , Ismoyowati  , Innayah M N
Published: November 2019

The purpose of this paper is to examine the role of Intellectual Capital in developing livestock and animal specialties companies’ performance. Intellectual capital is measured using VAIC. In VAIC, intellectual component consists of human capital, structural capital, and capital employed. Panel data regression model analysis is used in this study. The samples for this study is agricultural production companies which are specialties in production-livestock and animal. The samples are taken from companies that operated in ASEAN countries namely Indonesia, Malaysia, Singapore, Thailand and Vietnam during 2008-2018. The final sample used in this study consists of a total of 136 observations. The results showed that only one components of intellectual capital, which is human capital have positive effect in developing livestock and animal specialties companies’ performance. This result indicates that human capital can generate better performance for the companies. Meanwhile, structural capital has a negative effect on livestock and animal specialties companies’ performance and capital employed has no effect on livestock and animal specialties companies’ performance. The overall result implies that companies should utilize and maintain intellectual capital, mainly human capital to maximize their performance.
Identification of Quantitative Characteristic and Association Between ACTA-1 Gene and Body Weight in Local Chicken
Authors: Andini A S , Ismoyowati  , Purwantini D
Published: November 2019

This study aims to identify the quantitative characteristics of local chickens and examine the presence of polymorphisms based on the nucleotide sequences of ACTA-1 genes. The material used is a local chicken consisting of 25 Pelung and 25 Native chickens. The quantitative data uses t test. Identification ACTA-1 gene polymorphism is carried out by PCR method and Sequencing of PCR product. The quantitative characters, of male Pelung and Native chickens significantly different, involving the length of tarsometatarsus, tarsometatarsus circumference, comb height and body weight. Meanwhile, female Pelung and Native chickens show significant differences in femur length, tibia length, tarsometatarsus length, tarsometatarsus circumference, third finger length, wing length, comb height and body weight. The sequencing result indicates the presence of SNPs (Single Nucleotide Polymorphism) among them c.584 T > G, c.585 T> A, and c.657 T> C. Furthermore, in the base c.657 T> C the heterozygosity value of 0.18. Based on correlation value at c. 585 T>A shows that AA genotype has a significant effect on body weight (P<0.05). Therefore, the ACTA-1 gene is an important marker, which can be used to improve the economic characteristics found in local chickens.
The Effect of Addition of Chicken Feet and Neck Bone Flour towards Nutritional Value of Cookies
Authors: Purwasih R , Rahayuand W E , Fathurohman F
Published: November 2019

This study aimed to determine the chemical content of cookies with the addition of chicken feet flour and chicken neck bones flour of these cookies. The experimental design used was a completely randomized design (CRD) with 3 treatments and 3 replications. The treatment given is T0 (wheat flour); T1 (wheat flour + feet flour); and T2 (flour + neck bone flour). Variables measured include water, ash, fat, protein, carbohydrate, calcium, and phosphos. The data obtained were analyzed using variance analysis followed by the Smallest Significant Difference Test (LSD). The results of the variance analysis showed that the addition of chicken feet flour and neck bones flour had a significant effect (P <0.05) on ash content; fat; protein; carbohydrate; calcium and phosphor.
Sales and Marketing of Fresh Milk by Smallholder Dairy Farmers in West Java
Authors: Ariningsih E , Saliem H P , Erwidodo
Published: November 2019

As a highly perishable product, sales and marketing are very important for fresh milk produced by dairy farmers. This paper aimed to analyze the sales and marketing of fresh milk done by smallholder dairy farmers in West Java. Data used in this paper is a part of the IndoDairy Smallholder Household Survey (ISHS) data collected during August–September 2017, covering 600 smallholder dairy farm households in Bandung, Garut, Cianjur, and Bogor Regencies. Descriptive statistic analysis using tabulation was employed to process the data. Almost all the dairy farmers sold fresh milk, except one in Bogor who sold milk in the form of processed milk. Almost all farmers (98 percent) sold their fresh milk to dairy cooperatives, showing dairy farmers’ strong dependency on the dairy cooperatives. The price of fresh milk received by the farmers ranged from Rp4,794/L (Bogor Regency) to Rp4,212/L(Cianjur Regency), giving an average of Rp4,459/L. Due to the strong dependency on the dairy cooperatives, it is important to strengthen dairy cooperatives’ management capacities to help dairy farmers improve their milk quality, and hence prices, as well as dairy farmers’ welfare.
Positive Deviance Approach: Local Community-Based Solution (A Case Study of Peranakan Etawa Goat Farm)
Authors: Padmaningrum D , Hariadi S S , Subejo  , Hariyadi F T
Published: November 2019

The study aimed to analyze the potentials of Positive Deviance (PD) approach in addressing the problems of Peranakan Etawa (PE) goat farm. By using a qualitative approach, this research was conducted in the Kaligesing Sub-district, Purworejo Regency, Central Java. Data were obtained through in-depth interviews and observation. Participants were determined purposively, which include elements of smallholder farmers and the other stakeholders such as extension worker and the staffs of Agency of Agriculture Livestock Marine and Fisheries of Purworejo Regency. The results showed that the PD approach has a possibility to be applied in driving behavioral change that leads to the livestock management as agribusiness practices. It is powered by a situation where the livestock problem was not solely in the form of technical barriers. The existence of PD and the support of local leaders such as village heads as well as the commitment of small farmers themselves are necessary in order to successfully imply the agribusiness practices.
Contribution of Different Feeding Method and Protein Source on Blood Urea as well as Urinal Nitrogen Excretion of Ettawah Crossbreed Goats
Authors: Widodo H S , Sudjatmogo  , Muktiani A , Nuswantoro L K , Harjanti D W , Syamsi A N
Published: November 2019

Ettawah crossbreed goats are great potential to meet the need of milk in Indonesia. The potency could be optimized by administering good feeding management and high quality feedstuffs, that could be evaluated by urea metabolism and nitrogen balance of animal body. This research is aimed to evaluate effects of feeding method along with protein source. Sixteen ettawah crossbreed goats were administered with iso crude protein (17%) and total digestible nutrients (68%). Factorial design was applied which the factors were feeding method (Total Mixed Rations/TMR vs. Separated/SEP) and protein source (soybean meal/SBM vs. Fish meal/FSM), therefore four treatments were administered (T1:SEP+SBM; T2:TMR+SBM; T3:SEP+FSM; T4:TMR+FSM) for 3 weeks and data collecting on 4th week. Concentrates (50%) were given at the beginning then Napier grass hay (50%) on separated feeding method. Feed, orts, urine, feces and milk were collected for nitrogen quantification, Bloods from jungular vein drawn on 0, 3, 6 hours after feeding and milk were collected for urea quatification. The result shown that TMR (T2&T4) significantly (p<.05) gave higher 3 hous after feeding blood urea concentration then SEP (T1&T3) (43.84vs40.19mg/dl). There were no significant (p>0.05) effect of tretments to milk urea concentration, but all treatments have excess milk urea concentration. Both feeding methodes and protein source significantly (p<0.01) affecting urinal nitrogen exctretion, which T2 has the most high nitrogen excretion (3.56g/d). Concluded that TMR as feeding method and FSM as protein source affecting greater nitrogen excretion which implicates inefficiency.
Carcass Production and Single Nucleotide Polymorphism Adipocyte Fatty Acid Binding Protein (A-Fabp) Gene on Cairina moschata
Authors: Ismoyowati  , Sulistyawan I H , Mugiyono S , Rosidi
Published: November 2019

The aim of this study was to determine differences in growth, carcass production and identify polymorphisms of adipocyte fatty acid binding protein (A-FABP) gene in Muscovy ducks from the second generation selection (G2). The research material used 180-day-old Muscovy ducks consisting of male and female ducks with white feathers and male and female ducks with a combination of black and white feathers. Measurement of duck body weight was carried out every week, and ducks are slaughtered at 10 weeks to obtain carcass production data. The data obtained were analyzed by systat-13 program based on variance analysis and Duncan test. The primary design was based on a database of the genebank Cairina moschata adipocyte fatty acid binding protein (A-FABP) gene, exons 1, 2 and partial cds (FJ763338.1). The primary base sequence of the A-FABP gene was the primary forward: 5’-TCTGGGGGTGTTATCTGGAG -3’ and reverse primer: 5’-ATTTGTCAGTGGCTGTGCTG -3’. The sequencing results of PCR products were analyzed using bioedit version 7.7 to determine the presence of the A-FABP gene polymorphism. The results showed that at the same age male Muscovy ducks produced carcass weight, and thickness of breast meat higher than female ducks. Body weight, carcass weight and parts of the carcass (breast, thigh, back, and wings) of a combination black-white feather male ducks higher than the male white feathers. The abdominal fat on all the ducks relatively the same. The A-FABP gene PCR product was at 176 bp. The results of bioedit analysis showed that at 151 bp, base length there was a mutation from Guanin to Adenin in the observed Cairina moschata, both male and female Muscovy ducks with white feathers and black-white combinations. All ducks observed had homozygous AA genotypes. Base changes in SNP c. 151G> A indicate a transition mutation. The study concluded that male Muscovy duck with a combination black-white feathers have highest genetic potential in body weight and carcass production with thick meat breast compared to other ducks. The weight of abdominal fat was relatively the same in male and female manila ducks. The A-FABP gene in manila ducks was monomorphic.
Air Pollution Monitoring for Bogor Smart City Based Internet of Things and Social Media (Twitter)
Authors: Suriansyah Mohamad Iqbal , Harsani Prihastuti
Published: November 2019

The increasing number of vehicles has affected the air quality of Bogor city, one of them is CO gas (Carbon monoxide). CO is included in air pollution variables when the levels are higher than 100 - 300 ppm [1]. In line with one of smart city development strategy City of Bogor is Smart Living to realize a decent, comfortable, and efficient living environment. Bogor City Government conducted traffic engineering around Bogor Botanical Gardens and Bogor Palace with the introduction of One Direction System (SSA) around the clock [4]. This has an impact on the concentration of air pollution around the SSA. The development of sensor and internet technology makes it easy to develop integrated pollution monitoring systems [3]. An Arduino-based air pollution monitoring system is used to detect CO gas. If the concentration of exposure received by the MQ-7 sensor module exceeds the prescribed normal limit the CO gas concentration will be transmitted over the internet and aired on a text-based social media twitter. The device is designed using some components consisting of Arduino, Ethernet Shield, and MQ-7 sensor module. Programs are written and uploaded using C programming languages and the Arduino IDE 1.0.6 compiler. This prototype has been tested in the laboratory and applied to measure CO gas in five subdistricts of Bogor City-road. The results of this system are expected to be used by policymakers as basic information for decision making to reduce pollution level of Bogor City.
Modeling the impacts of constant price GDP and population on CO2 emissions using Cobb-Douglas model and ant colony optimization algorithm
Authors: Sukono  , Subartini Betty , Thalia Priscila , Supian Sudradjat , Lesmana Eman , Budiono Ruly , Juahir Hafizan
Published: November 2019

The per capita Gross Domestic Product (GDP) measures a country’s economic growth. Increasing GDP is a dream of all countries, but generally, GDP increases often have a negative impact with increasing CO2 emissions. This paper intends to model the impact of GDP growth based on constant prices and the population in increasing CO2 emissions in Indonesia. Modeling is done by using Cobb-Douglas model production function, where parameter estimation is done by using ant colony optimization algorithm. Furthermore, model estimators are used for forecasting CO2 emission concentrations. The results of the analysis show that the impact of GDP based on constant prices and population significantly follows the Cobb-Douglas model of production, with the coefficient of elasticity is 0.819405999 and 0.834930855, respectively. The value of determination was obtained at 97.4%, indicating that the correlation between GDP at constant prices and population with increasing CO2 emissions in air is very strong. Estimator model obtained has a level of accuracy for forecasting is 0.98478981 or 98.4798981%. Thus, the model estimator obtained is able to describe the actual data pattern.
Spatiotemporal Dengue Disease Clustering by Means Local Spatiotemporal Moran’s Index
Authors: Jaya I G N M , Andriyana Y , Tantular B , Zulhanif  , Ruchjana BN
Published: November 2019

Spatiotemporal analysis has been used widely to explain some geographic phenomenon, especially in an epidemiology study. Spatial and temporal autocorrelation coefficients are usually used to assess the spatial and temporal dependencies in set geographic events. However, those statistics are usually computed separately and may lead to the misleading conclusion. Analysing spatiotemporal autocorrelation would be useful to understand the geographical evolution simultaneously. Spatiotemporal autocorrelation can be used to identify the spatiotemporal clustering and outlier via local spatiotemporal autocorrelation. This paper develops a method to estimate and test the local spatiotemporal autocorrelation based on the local spatial Moran’s Index. Randomization permutation test is used to obtain the p-value which is used to construct the disease clustering. The method was applied to identify the spatiotemporal clustering and outlier detection for dengue disease data in Bandung city. Based on image analysis, this method presents the better result compare than the local spatial Moran’s Index which is done for every time separately.
New class of hybrid conjugate gradient coefficients with guaranteed descent and efficient line search
Authors: Sulaiman I.M. , Sukono  , Supian Sudradjat , Mamat Mustafa
Published: November 2019

Hybrid conjugate gradient (CG) techniques are one of the most prominent procedure for obtaining the solution of large-scale unconstrained optimization problems. This is due to its simplicity, global convergence, and low memory requirement. Numerous modifications have been done recently to improve the performance of these methods. In this paper, we proposed new class of hybrid CG coefficients with guaranteed descent under exact line search. Numerical results are presented to illustrate the efficiency of the proposed methodscompared to other classical CG coefficients.
Experimental researches on fracture behavior of semicircular bending PMMA specimens
Authors: Zeng Guowei , Zhou Peng , Bai Fan , Wu Liang , Zheng Huasheng
Published: November 2019

The fracture resistance behaviors of the semicircular bending (SCB) PMMA specimens with different geometry are experimentally investigated. In order to evaluate the effect of orientation, location and right roll’s distance, a series of SCB experiments are performed on the PMMA specimens with different notch angle and location on the universal mechanical testing machine. Finally, the variation of the fracture load and the load vs. displacement relation are displayed and evaluated respectively.
Weak Point Analysis of Deepwater DST String in Service
Authors: Liu Kang , Chen Guoming , Meng Wenbo , Liu Xianyu
Published: November 2019

Considering the deepwater test technology, in this study, temperature and pressure loads of deepwater drill-stem tested (DST) string in string deployment, pressure perforation, flowing test, and shut-in well stages are evaluated. In view of the large displacement and contact problem, a mathematical model is established for the deepwater DST string system to assess the weak point based on nonlinear contact theory. The results show that the temperature and internal pressure of DST string are mainly determined by test production in the flowing test stage. The pressure perforation and shut-in well stages are more risky for DST string in water, whereas the string deployment and shut-in well stages are more risky for DST string in downhole. With increasing test production, the stress level of DST string decreases in water and increases in downhole as a whole. Extra attention should be paid to the string units adjacent to the top, lower flex joint, hanger, and packer, which are the strength weak points of deepwater DST string. The weak point assessment method provides powerful support for operation risk management and decision-making of DST string in offshore test process.
Moisture effect on coking course of coal
Authors: Xuehong Zhang , Gaifeng Xue , Hongming Fang , Luhan Zhao
Published: November 2019

In order to successfully transform coking technology of moisture-free coal, which has energy conservation and environmental protection properties into production, moisture effects on coking course of coal was researched and the caking indices; plastometric indices, Gieseler fluidity, and coke optical texture of coking coal under different moisture proportions were studied. The result showed that when the moisture proportion of charging coal was decreased, the voids among coal particle minished. The size and proportion of pores produced by moisture’s volatilization declined, the expansion pressure produced in coking course increased and inborn plastometric layer’s spreading property was improved. All these made caking indices of coking coal take on increasing trend. They also made the shrinking value x decrease, the solid-soft interval increase, the fluidity and the spreading property of layer among anthracite be improved and coke tight property be improved. These provided many useful conditions for coke with good quality and the decrease of coking wastewater.
Effect of Hydrogen Corrosion on Key Mechanical Properties of 45 Steel
Authors: Ma Luxiao , Guo Chong , Wang Jing
Published: November 2019

To study the influence of hydrogen corrosion on mechanical properties of materials, this paper adapted 45 steel to determine each mechanical property parameter of 45 steel by tensile test method under different corrosion concentration and time as well as different states, including non-hydrogen escape and hydrogen escape. And the changing rule of strength index and plastic index of material during the process of hydrogen corrosion was obtained. The result shows that the strength index of material just has few changes, its yield strength fluctuates within -5.6Mpa and 7.8Mps and tensile strength reduces by about 2%. After corroding, the plastic index reduces obviously and it is mainly affected by corrosion concentration whether it is in non-hydrogen escape state or in hydrogen escape state. Despite that the plastic index of hydrogen escape state is higher than that of non-hydrogen escape state, it still is less than the original value. In the inner of metal, the influence of diffused hydrogen on plastic index is stronger than that of solid solution hydrogen.
Numerical simulation and experiment of wrinkle for multipoint thermoforming of resin sheet
Authors: Peng Heli , Chen Xu , Liu Haijian
Published: November 2019

The multi-point thermoforming (MPTF) process of resin sheet is introduced, the glass transition temperature of polycarbonate (PC) sheet is tested, and the material parameters of PC sheet are got. Numerical simulation of wrinkle for spherical part is carried out by ABAQUS, and the generated result of wrinkle with MPTF is elaborated. The effects of thickness, forming temperature and spherical radius on wrinkle are investigated by lots of numerical simulations, the outlines of spherical part with different thicknesses are extracted, and the maximum wrinkling value of spherical part with different forming temperatures and spherical radii are calculated. Then the multi-step multi-point thermoforming (MSMPTF) is chosen to depress wrinkle, and series of numerical simulations are put forward to get the forming step of non-wrinkle. Finally, MSMPTF experiment is done. Consequently, the spherical part has good outline shape, which illustrates that the MSMPTF technology is feasible to depress wrinkle.
Early mechanical properties of high calcium fly ash cement soil
Authors: Yu-ping Dong , Yu-pei Zhang , Yu-xiang Liu
Published: November 2019

In order to improve the comprehensive utilization rate of industrial waste fly ash materials, this paper attempts to add high calcium fly ash to cement soil to study the effect of high calcium fly ash on the performance of cement soil materials and its strength formation mechanism. By designing the cement soil strength test and the excitation test, the early stage strength of the cement soil material can be improved by adding a certain amount of high-calcium fly ash and activator, which provides the application of high-calcium fly ash in engineering. It is also a supplement and improvement of the theoretical application system of fly ash materials.