bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transfer learning for isolated cylinder vibration induced by vortex shedding
Authors: Miao Yang , Jiang Yuncheng , Zhang Xiaolu , Li Kun 
Published: June 2021

Abstract
Transfer learning study on vortex-induced vibration of circular and bending cylinders in laminar flows. Vortex-induced vibrations of circular and bending cylinders have been detected by varying flowrate in rectangle cylinder. The vibration date in different position of the cylinders are acquired by LMS and image information obtained. The dynamic characteristics of vortex shedding are analyzed by the cylinder vibration and flow rate signal. The experimental data of the circular cylinder vibration is used as auxiliary data set and a few data of the bending cylinder vibration as target data set. Both of auxiliary and target data sets compose the training set which is trained by TrAdaboost based on weight iteration adjustment. The result compared with another experimental data of bending cylinder shows that the transfer learning algorithm has a reasonable accuracy.
Demand and supply of shallot in North Sumatera Province
Authors: Taufiq M , Rahmanta  , Ayu S F 
Published: June 2021

Abstract
Shallots have a fluctuating demand therefore this is not balanced by a continuous supply. The purpose of this study was to see what factors influence the demand and supply of shallots in north Sumatera province. The method of analysis used is a simultaneous equation approach using data from 1989-2018 and processed with the help of software programs. 10. The results show that the price shallots, population together had a significant effect on the demand of shallots in north Sumatera province. The price of shallots, harvested area and fertilizer prices together had effect on the supply of shallots north Sumatera. Per capita income and fertilizer prices together have effect on the price of shallots in north Sumatera province.
Analysis of factors affecting the growth of agriculture sector in North Sumatra
Authors: Hasibuan M , Rahmanta  , Ayu S F 
Published: June 2021

Abstract
Agriculture sector is one of the supporting economic sectors in North Sumatra Province. In 2018, the agricultural sector (food crops, plantation, forestry, livestock, and fisheries) was the sector that contributed the largest added value to the Gross Regional Domestic Product in North Sumatera Province, namely 21.4 percent, followed by the manufacturing sector at 20.29 percent. Therefore, it is necessary to conduct research the factors that influence the growth of the agriculture sectors in North Sumatera. The secondary data from the Central Statistics Agency of North Sumatra Province are used to obtain the data since 1985-2018. The analytical method used was multiple linear regressions. The results this paper that labour and agricultural imports had a positive and insignificant effect on the growth of agricultural sector. Meanwhile, land area, exports, and an investment have a positive and significant effect on the growth of agricultural sector.
Analytical landslides prone area by using Sentinel-2 Satellite Imagery and geological data in Google Earth Engine (a case study of Cinomati Street, Bantul Regency, Daerah Istimewa Yogyakarta Province, Indonesia)
Authors: Prasetya H N E , Aditama T , Sastrawiguna G I , Rizqi A F , Zamroni A 
Published: June 2021

Abstract
The incidence of landslides and the fact that a large number of people live in areas vulnerable to landslides lead to a high death toll in Java Island, Indonesia – more than 1,112 people in the period 1999 to 2005. The study site has an area of 55.56 hectares, along Cinomati Street, Dlingo, and Pleret Sub District, Bantul District, Daerah Istimewa Yogyakarta Province, Indonesia. The methods that use in this study are, Sentinel-2 Imagenery and Geological data. The purpose of this study is to determine the landslides prone area in the study site. The methods used in this study are Sentinel-2 Satellite Imagery and geological data. Along the Cinomati road based on geological data, it has a weak area that has the potential for landslides from the continuation of the Opak fault and rock formation boundaries. Landslide area are locations with complex geological conditions and sparse vegetation. In other rare vegetation besides the location of landslides, it also needs to be aware of other potential landslides, because this research is limited to sentinel images with a density of 10m2.
Utilization of charcoal rambutan (Nephelium Sp.) adsorbent to remove dissolved copper (II) by natural batch operation
Authors: Haryanto B , Manik K , Lumbangaol A K , Turmuzi M , Misran E 
Published: June 2021

Abstract
The adsorption ability of rambutan charcoal with the size 100/200 mesh in absorbing dissolved 70 ppm copper metal ions (Cu(II)) at pH 4.5 have evaluated. The adsorption kinetics of rambutan charcoal carried out by natural batch operation. The optimum contact time was 120 minutes with the best removal percentage was obtained 43.84%. The adsorption interaction of copper metal ions on the rambutan charcoal surface has analysed by using SEM-EDX. The kinetic model of the pseudo second-order was applied with interaction with R2 = 0.9816. The result was identified that adsorption occurred chemically. The diffusion kinetic model has indicated the diffusion down to the inter-particle surface of the adsorbent with the value of R2 = 0.8863.
Analysis of beef price determinants in North Sumatera
Authors: Lindawati L , Emalisa  , Situmorang S 
Published: June 2021

Abstract
Beef Prices in North Sumatera show a continuous increase. This research was conducted by collecting secondary data in North Sumatera in 2020. The purpose of this research was to find the factors that influenced the increase in the price of the beef. The analysis method to explain the factors that influence the beef prices in North Sumatera was Multiple Linear Regression analysis. There was no violation of classical assumptions such as autocorrelation, heteroscedasticity and multicollinearity so it can be said that the estimation of the regression model was unbiased. The results showed that there were three factors that had a positive and significant effect on the 5% error rate on the beef prices in North Sumatera, namely the world beef prices, Rupiah exchange rate against the Dollar and beef imports in North Sumatera. The beef production in North Sumatera affected on the beef prices in North Sumatera at an error level of 10%. The consumption of beef did not have a significant effect on the beef prices in North Sumatera.
Performance of agricultural machinery services business in Tojo Una-Una District Central Sulawesi
Authors: Amalia A F , Rahayu H S P , Syafruddin  , Suwitra I K 
Published: June 2021

Abstract
Advanced technology has entered the agricultural sector in an effort to streamline the agricultural production. Mechanization, one of advanced technology has contribution to increase productivity and resource’s efficiency in agriculture. However, there is a need government’s intervention to accelerate it. One of mechanization program by government is Agricultural Machinery Services Business (UPJA) which applied in farmer group level in Indonesia. The study aims to know the financial and work performance of UPJA in Tojo Una-Una Central Sulawesi especially for four wheel tractor with 85 House Power (HP) and 95 House Power (HP). The data were collected purposively from the UPJA program receiver and related stakeholder. Financial and work performance analyses were used to value the UPJA performance. The results show that UPJA business in farmer group level for both 85 HP and 95 HP tractor power were economically feasible with RC ratio of 1.27 and 1.15 consecutively. Tractor 95 House Power (HP) was more efficient compared to 85 House Power in land efficiency management with values 62% and 54%. The theoretical field capacity (Kt) tractor 85 HP was the same with tractor 95 HP about 0.403 ha/hour, while the effective field capacity (Ke) of tractor 95 HP was higher compared to 85 HP.
The effect of airflow distribution on temperature, liquid smoke, rice husk ash and plastic oil yield using prototype systems of pyrolysis equipment organic-inorganic waste
Authors: Sigalingging R , Susanto E , Panggabean S , Muda I 
Published: June 2021

Abstract
Airflow influences the pyrolysis process. This study was carried out on air distribution flow in the integrated pyrolysis tool of plastic waste and rice husks with added pipeline inside the rice husk’s reactor furnace and without added it. A total of 10 kg of rice husk, 3 kilograms of plastic burlap, and 25 m s-1 initial air velocity from the blower were used. The results showed that the addition of 1-inch diameter pipelines with 18 holes with a 2.5 mm diameter affected the yield of rice husk oil, husk ash colour (white, grey and black) and the temperature at T4 (16 cm from the base) and T7 (54 cm from the base). In contrast, the other temperature was not a significant effect. Also, the yield of plastic oil produced was not impacted considerably. The yield of ash and rice husk oil (RHO) without using an airflow pipe was higher than using an airflow pipe, but the resulting plastic oil (PO) was lower.
The simulation of landuse change scenarios on Bedagai Sub Watershed health condition
Authors: Nasution D L S , Susanto E , Ichwan N 
Published: June 2021

Abstract
Erosion is one of three indicators that showed the health condition of watershed. The most important human intervention factor that influence condition of erosion is landuse. This study aimed to calculate the erosion value at existing condition on Bedagai Sub Watershed and optimizing watershed management by simulating some scenarios based on addition of forest land cover index to analyse its effects on erosion value. The calculation of erosion using USLE Method and ArcGIS 10.3 application. There are three scenarios simulated using Arc GIS 10.3 which is in each scenario the addition of forest land cover is about 5%. The forest land cover in existing condition is about 4%, in the scenario 1 is about 10% landcover index, scenario 2 is about 15% forest landcover index, and scenario 3 is about 20% forest landcover index. The result shown in existing condition, the erosion value was 209.74 ton/ha/year which classified as high hazard level. The simulation of three scenarios shown the erosion value by applying scenario 1 was 169.97 ton/ha/year, scenario 2 was126.52, and scenario 3 was 95.97 which is in medium hazard level.
Landuse changes simulation for erosion control in the Asahan Hulu Sub Watershed
Authors: Pasaribu S , Nasution D L S 
Published: June 2021

Abstract
Landuse changes that don’t follow the principles of land conservation are susceptible to erosion, sedimentation, and flooding. This study aims to determine the most optimal land use scenario in order to reduce the rate of erosion and analyse the effect of land use change on erosion. This research was conducted by collecting rainfall data, soil type maps, slope maps, and land use maps then overlaid using arc GIS and then calculating the erosion value. The simulation is done by reducing production land cover index and increasing forest landcover index. The results showed that the annual erosion value in existing condition was 111.67 tonnes / ha / year which is moderate erosion hazard class. The amount of increasing forest land cover area in scenario I is about 2881.80 ha, scenario II is about 5266.95 ha, and scenario III is about 7652.12 ha. The reduced erosion in each scenario of landuse change is 103.489 tonnes/ ha / year, in scenario 1, 93.642 tonnes / ha / year at scenario II, and 87.358 tonnes / ha / yr at scenario III.
Effect of Gelugur acid extract (Garcinia atroviridis) on the physical quality of culled chicken meat at different shelf life
Authors: Patriani P , Wahyuni T H , Sari T V 
Published: June 2021

Abstract
This study aims to find out the interaction between the percentage of Garcinia atroviridis extract and the shelf life of the physical quality culled chicken meats. This study used a complete randomized design of factorial patterns. The first factor is the concentration of Garcinia atroviridis extracts (P0:0%, P1:3%, P2:6% and P3:9%). The second factor is the shelf life at (T1:24 hours and T2:48 hours). The data was analysed using a nova and if there was a noticeable difference will be continued using Duncan tests. The results showed that there was an interaction (P<0.01) between the increase of Garcinia atroviridis P1, P2, and P3 in the shelf life of T1 and T2 against pH, cooking loss, meat moisture content. However, there is no interaction (P >0.05) between Garcinia atroviridis in shelf life against the drip loss of meat. The higher Garcinia atroviridis extract will lead to decreased pH value, lower cooking loss value, and increase meat moisture content. The results showed the physical quality of culled chicken meat was still in the normal range. The use of Garcinia atroviridis extract 3% is recommended to improve the physical quality of culled chicken meat at a shelf life of 24 to 48 hours.
Protein digestibility and metabolizable energy of palm kernel cake fermented by Starbio on chicken
Authors: Prayogi G , Tafsin M , Wahyuni T H 
Published: June 2021

Abstract
The research is to find out the level starbio in palm kernel cake (PKC) on the energy and protein use on chicks. The chemical analysis was done in Quality and Certification Feed Laboratory in Bekasi, West Java. The experiment composed by five treatments i.e. dose of starbio (g/kg PKC) with level: 0%;0,25%; 0,5%; 0,75%; and 1%; for treatments PO;P1:P2:P3; and P4, respectively. The variables were observed composed of apparent metabolizable energy (AME), protein digestibility, and nitrogen retention. The starbio had significantly (P<0,01) effect on protein utilization and AME of PKC for chicks. Increasing that nutrient utilization on chicken in line with of dose of Starbio. it is concluded that starbio can improve PKC quality as feed for chicks.
Improving productivity and competitiveness of Kepahiang robusta coffee through innovation and partnership
Authors: Dewi Y A , Hutahaean L , Rubiyo  
Published: June 2021

Abstract
Robusta coffee is a very strategic commodity in Kepahiang district, bengkulu province. This paper aims to (i) describe the overview, coffee quality and flavor, the financial feasibility of Kepahiang coffee farming, (ii) formulate technological innovations in increasing productivity, and (iii) formulate efforts to increase competitiveness. The paper was synthesized from literatures related robusta coffee, and it was conducted in 2019. All data were gathered from secondary data using documentation methods and the data from relevant literature were analyzed descriptively. Based on the synthesis, the productivity of Kepahiang robusta coffee is only around 774 kg/ha or still below its production potential. Kepahiang coffee was characterized as small beans with grade 5 and 6 while the total of flavor total was 80.50 - 85.50. Efforts to increase Kepahiang coffee productivity can be done through technological innovations such as the use of high yielding planting material, pest and disease control, pruning technology as well as postharvest and processing improvement. Increasing competitiveness can be done by developing partnerships that are designed through 4 (four) stages, namely phase 0, phase 1, phase 2 and phase 3. Technological innovation and partnership relationships are expected to increase productivity and competitiveness of Kepahiang robusta coffee.
Improvement of soybean yields using organic fertilizer enriched with microbes under dry land condition of Banten Province
Authors: Yuniarti S , Mulyaqin T , Hadiatry M C , Purba R 
Published: June 2021

Abstract
The objective of the present study was to determine the yield and growth of soybeans using organic fertilizers enriched with microbes under dryland conditions. The research was carried out in the Pandeglang Regency of Banten Province. A randomized block design was used using 4 treatments, and 6 replications. The treatments were fertilization, namely without fertilizer (control/P1); 3 ton/ha of chicken manure (P2); 3 ton/ha of chicken manure, and recommended inorganic fertilizer (P3); 1 ton/ha of organic fertilizer enriched with microbes, and recommended inorganic fertilizer (P4). The soybean variety used was the Anjasmoro variety. The parameters observed were the length of root, the height of plant, the nodules number, root weight at age 65 days after planting (DAP), the filled pods’ number, and the soybean yield. The research results showed that the treatment of organic fertilizer enriched with microbes (P4) gave a higher growth response based on the value of the height of the plant, the length of root, the number of nodules, and the number of filled pods, compared to other treatments. It increased soybean yield from 1.58 ton/ha up to 2.61 ton/ha.
Potential carbon storage of Indonesian mangroves
Authors: Maulana M I , Auliah N L , Onrizal  
Published: June 2021

Abstract
Even though it only covers 0.1% of the surface of the continent, mangrove forests recorded as carbon-rich forests on earth. Forest loss and degradation together, especially in the tropics contributes about 12% of the total annual anthropogenic CO2 emissions. Mangrove forests ecosystem have high carbon storage potential. The study results show that the ratio of carbon to area in mangrove ecosystems is almost 13 times greater than that of tropical rainforest ecosystems in Indonesia. This study has used published data recorded in Google Scholar and Science Direct. Indonesia’s mangroves, with a total area of 3.1 million ha, store a total carbon of 5.2 Gt. The average stand biomass or aboveground biomass is around 407.15 tons ha−1, storing carbon as much as 191.36 tons ha−1 which is equivalent to the potential for CO2 absorption (CO2e) by mangrove stands of 702.29 tons ha−1. Papua has the largest mangrove forest in Indonesia that has the potential for CO2e. Assessment of carbon storage in soil needs to be done in estimating the total carbon stored in mangrove ecosystems, given the large potential for stored carbon that plays a role in climate change mitigation.
Characteristics and classification of coastal peat in conservation forest at Labuhanbatu, Sumatera Utara, Indonesia
Authors: Sitohang E J , Sarifuddin  , Mukhlis  
Published: June 2021

AbstractThis study is a survey research that aims to characterize and classify coastal peat soils in the conservation forest located in Sidomulyo Village, Bilah Hilir Subdistrict, Labuhanbatu District. Soil analysis was carried out at the Research and Technology Laboratory of the Faculty of Agriculture, Universitas Sumatera Utara. The observations were carried out by drilling the peat soil using an Eijkelkamp drill with 3 depth layers of peat soil, then the morphology and chemical properties of the soil were observed and classified according to the Key to Soil Taxonomy, 2014. The results showed that the ash content in the surface layer was higher than the deeper layers, but pH, C-organic, EC and CEC were not much different at all layers. Based on soil taxonomic, peat in the study area is Hydric Haplohemist for sub group category.
Fertilizer effectiveness based on nutrient requirement from yield of green mustard (Brassica juncea L.)
Authors: Majid M I , Harahap E M , Sembiring M 
Published: June 2021

Abstract
Green mustard (Brassica juncea L.) is a vegetable that has a high economic value. The application of fertilizer was important to increase crop production. This study aims to calculate the nutrient requirement to get the optimal yield production. The method used survey methods (qualitative research) on June-July 2020. The conventional planting experiment design was 20 × 20 cm spacing/plant in 1 hectare. The percentage of N used the Kjeldahl method, whereas the P, K, and Mg using Spectrophotometry, and the data were analysed by Microsoft Excel, 2013. The variable observed i.e. wet weight (g), dry weight (g), Md dry basis (%), the percentage of N, P, K, and Mg, and total fertilizer needed for 10 ton/ha; 20 ton/ha; 30 ton/ha, and 40 ton/ha. The results were N 3.857 %; P 0.721 %; K 3.827 %; and Mg 0.366 %. Wherein, the average weight of wet green mustard was shown 91.014 g wherein the dry weight of 6.718 g. The Md (dry basis) was 12.54. The fertilizer complex recommendation to green mustard for optimal yield up to 40 ton/ha was 5.45 g/pot. In this case, a total of urea 2.46 g/pot, SP-36 0.57 g/pot, KCl 1.83 g/pot, and dolomite 0.58 g/pot.
Spatial modelling of land conversion vulnerability in Padang watersheds North Sumatera province
Authors: Purba S A , Slamet B , Rauf A 
Published: June 2021

Abstract
The land use in the watersheds is the leading cause of the flood besides rainfall intensity. The objective of this study is to analyse land-use changes period 2000, 2010 and 2018, analyse the factors that influence land-use changes and analyse the level of the spatial distribution of land conversion vulnerability based on a GIS and remote sensing. Spatial modelling methods were used in this study by weighting and scoring on the factors triggering land conversion, namely biophysical land and socioeconomic. The results show that the enormous percentage change in land use between the years 2000-2010 was 49.09% in mixed dryland farming convert to dryland agriculture. While in the period 2010-2018 was an increase of 43.37 % in the fish pond. Factors that influence the chances of land conversion are biophysical and social factors such as population density and per capita income. The higher the population density tend to have, the greater the chance of a land conversion. The higher per capita income tends to have a smaller chance of a land conversion. Land conversion vulnerability in Padang Watersheds is at a vulnerable class of 50.38 % or 55,584.54 Hectares. Then in the class is very vulnerable at 27.38% or 30,213.97 Hectares.
Diversity of types pterodhopita in the campus Universitas Sumatera Utara
Authors: Rambey R , Ardi R , Ras S , Jauhari M A 
Published: June 2021

Abstract
Forests in Indonesia that have high biodiversity, including one of them is the type of fern. The characteristic of Indonesian tropical rainforests is that they have high rainfall so that they strongly support the existence of this type of fern. In general, ferns like humid habitat conditions. The purpose of this study was to determine the types of ferns around the campus Sumatera Utara. The method of this research is by roaming, namely exploring each location that can represent the location where there is the most vegetation. The number of types of ferns found on the campus of the Universitas Sumatera Utara is 20 types. There are 9 families in the research location, including the polypodiaceae family as much as 35%, Pteridaceae (20%), Thelypteridaceae (15%), Nephrolepidaceae (10%), Aspleniaceae (10%), Athyriaceae (5%), Dryopteridaceae (5 %) and Blechnaceae (5%). There are 13 types that grow epiphytic and 7 that live terrestrially. The host trees for epiphytic ferns include Swietenia mahagoni, Elaeis guineensis, Gmelina arborea, Samanea saman and Paraserianthes falcataria.