bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of the success factors influencing of rice-fish farming innovation village to support food security
Authors: Triyanti R , Suryawati S H , Wijaya R A , Wardono B , Hafsaridewi R 
Published: November 2021

AbstractIn the current condition in the village, the community is faced with limited agricultural land and the unpromising sustainability of conventional rice businesses, so that agricultural business is less attractive to the community. The solution that can be done by the community is to build a rice-fish farming innovation village. This study aims to analyze rice-fish farming in terms of social and economic aspects and to analyze the factors that influence the success of the rice-fish farming innovation village for food security and community welfare. This research was conducted from October to December 2020 in Samberembe, Candibinangun Village, Sleman District, Special Region of Yogyakarta. The research approach used a mixed-method, with data analysis using business analysis, descriptive analysis, and prospective analysis. The results showed that an integrated rice-farming program can increase farmers’ income up to IDR 35 million per 1,000 m per year and changing the socio-technical at every phase of cultivation. The success of the rice-fish farming innovation village can be realized with the following key factors (1) a good technical irrigation system, (2) a continuous supply of superior fish seeds, (3) strengthening of rice-fish farming innovation technology, and (4) strengthening of pest eradication technology (beaver). This key factor can be considered as a national scale reference for the development of the rice-fish farming innovation village. The implication of the study is to create a superior and sustainable village that can improve community food security and local economy growth.
The implementation and synergy of Indonesian national food reserves
Authors: Yulianis N , Sarastuti  , Risfaheri  , Rachman B 
Published: November 2021

Abstract
In aggregate, Indonesia’s national food reserves (rice) in early 2021 are adequate, as indicated by the stock to use ratio (SUR) reaching 25.16% above the FAO recommendation of 17‒18%, with the end of 2020 rice stock reaching 7.9 million tons from 29.3 million tons rice consumption needs. As mandated by Food Law 18/2012, Indonesia has established a multi-layered mechanism of national food reserves, consist of a central government food reserve, regional government food reserves (provincial, district/city, and village level), and community food reserves. This paper aims to examine the various implementation of Indonesia’s national rice reserves along with synergy recommendations to strengthen government, regional governments, and community’s food reserves. The approach used is descriptive qualitative analysis, by exploring information and secondary data across institutions with national and regional coverage. The results of the study show: (1) the need for an increase in Central Government Rice Reserves (CGRR) in the range of 1.5‒2 million tons accompanied by strengthening the mechanism to absorb farmers production of unhulled rice/rice to stabilize rice prices especially at the peak harvest time; (2) strengthening the intensity of advocacy and coordination amongst key-stakeholders in provincial and district/city to optimize the implementation of government food reserves area; and (3) strengthening and developing village-based community food barns through cooperation with the Strategic Command for Rice Mill Development (Kostraling) and Village Owned Enterprise (BUM Desa and BUM Desma).
Sustainable management of smallholder oil palm farming during the COVID-19 pandemic
Authors: Nainggolan H L , Waruwu W S S , Gulo C K , Doloksaribu R C , Siahaan T M H 
Published: November 2021

AbstractThe emergence of the CoronaVirus Disease in 2019, until now has had a negative impact on various sectors of people’s lives including the agricultural sector. Smallholder oil palm farming has also experienced a negative impact due the pandemic. This research aims to knowing the situation of smallholder oil palm farming before and during pandemic; and to knowing the readiness of farmers to manage smallholder oil palm farming; and to knowing the sustainability of the management of smallholder oil palm farming during the pandemic. This research was conducted in STM Hilir Subdistrict, Deli Serdang District, North Sumatra, Indonesia, which was carried out in September - December 2020. The data used were primary and secondary data which were analyzed descriptively with income analysis method and simple tabulation. Based on the results of data analysis, concluded: smallholder oil palm farming during the COVID-19 pandemic was not stable, due to an increase in production costs of 20.2%/month, and a decrease income of farmers by 6.69%/harvest season/ha. In period of COVID-19 pandemic-19 59% of farmers said they are ready to develop their farming in a sustainable manner. Sustainable management smallholder oil palm farming during the pandemic is going well, based on indicators of ecological conservation, where farmers tend to use organic fertilizers. In accordance with the results of the study suggested; so that the government provides continuous counseling to farmers, provides incentives, subsidies for production facilities for farmers, so that farmers continue to apply health protocols in carrying out their farming activities.
Deteminant factors to improve Indonesian cocoa performance
Authors: Prasetyo A , Suswadi  , Aziez A F 
Published: November 2021

Abstract
Encouraging the growth of Indonesia’s agricultural sector is important for improving the export performance of Indonesia’s leading commodities. The purpose of the study was to determine the effect of the IDR exchange rate and the shock of the determinants of cocoa exports on the growth of Indonesian cocoa exports. The research was conducted using time series data from 1969-2017. This study uses the Vector Error Correction Model (VECM). The analysis showed that the data is stationary at the first difference. The causality test shows that cocoa production, IDR exchange rate, GDP affect the growth of Indonesian cocoa exports, but world cocoa prices have no effect on cocoa exports. The results of the impulse response factor (IRF) analysis show that the response of cocoa exports to changes in the exchange rate is more volatile when compared to the response of production, GDP, and world cocoa prices to Indonesian cocoa exports. Analysis of variance decomposition shows that the contribution of the IDR exchange rate to export growth is greater than the contribution of world cocoa prices, GDP, and production at the beginning of exports, however over time the influence of the IDR exchange rate will decrease and it is the number of production factors that will affect Indonesia’s cocoa exports. Indonesia needs to increase production by maintaining the quality of cocoa according to export needs considering the demand for cocoa that will continue to increase. Bilateral or multilateral cooperation is needed to strengthen cocoa export cooperation with major importing.
Developing agriculture value chain inclusive for small-scale vegetable farmers in the highland of Bedugul, Bali
Authors: Utama I M S 
Published: November 2021

Abstract
As a major global tourist destination, the demand for a large variety of fresh produce in Bali has developed following the country of origins of tourists and their eating habits. The varieties of fresh produce demanded by hotels and restaurants have increased since the 1970s. More than 100 types of vegetables (leafy and fruity vegetables, tubers, roots, shoots, immature flowers) and herbs are produced in the highland of Bedugul, Bali. As the market competition increases, the small-scale vegetable farmers have to be more value-oriented, efficient, and effective in production and postharvest handling. How is the competitiveness of the evolving value chain to meet the dynamic needs of institutional consumers and retail modern markets? Therefore, the aims of the study were to assess the competitiveness of the vegetables value chains and develop a model design of value chain inclusive for small scale farmers for improvement. This study was carried out through surveys and focus group discussions (FGD) involving actors in production and distribution channels. It was found that there were five groups of distribution channels,and most of them are less value-oriented. However, the emerging integrated value chains are shown, mainly to which derive from the institutional consumers (hotels and restaurants) and modern markets. A designed alternative model of value chain system inclusive for small-scale farmers has been developed, especially with the end on institutional consumers and modern markets.
Utilization of suboptimal land for the sustainability of upland rice farming in Minahasa District
Authors: Rawung J B M , Indrasti R , Hutapea R T P 
Published: November 2021

Abstract
Increasing rice production is not only relied on from irrigated and rainfed rice fields, but also on dry land (upland rice). Development of upland rice on sub-optimal lands is one of the efforts to overcome the problem of vulnerability to rice availability, but until now its management is still not optimal. Minahasa District is one of the upland rice producing districts in North Sulawesi. This paper aims to identify matters related to sub-optimal land use for the sustainability of upland rice farming by farmers that can be developed in support of efforts to increase upland rice production in North Sulawesi, in addition to improving the existing technology used by farmers. This study was conducted in the Tombariri Subdistrict, Minahasa District, using a survey method. Data collection was carried out through field observations, surveys, documentation, in-depth interviews with key informants, and literature studies. The data obtained were then analyzed descriptively. Based on field identification and the results of the study, it was found that the existing local farmers’ technology was still very simple, especially in the aspects of seed supply, planting and maintenance. Farmers are increasingly pursuing development towards organic farming. There are still many sub-optimal land uses that can be optimized for upland rice cultivation accompanied by improvements to the existing limiting factors on each land.
Computational investigation of the aerodynamic performance of reversible airfoils for a bidirectional tidal turbine
Authors: Giljarhus K E T , Shariatpanahi G S , Frøynes O A 
Published: November 2021

Abstract
A reversible airfoil is an airfoil that has equal performance when the flow is reversed. Such airfoils are relevant for many different applications, including use in ventilation fans, helicopter rotors, wind turbines and tidal turbines. Compared to traditional airfoils, reversible airfoils have different performance characteristics and have been less explored in the scientific literature. This work investigates the aerodynamic performance of some selected reversible airfoils using computational fluid dynamics. The selected airfoils are based on existing NACA 6 profiles and a profile using B-spline parameterization. The results show reduced performance for the reversible airfoils compared to a unidirectional airfoil. Of the investigated airfoils, the B-spline airfoil has the highest performance, with a maximum aerodynamic efficiency which is 87 % of the unidirectional design.
Comparison of unidirectional and bidirectional airfoils in a tidal stream turbine
Authors: Giljarhus K E T , Owolabi J O , Frøynes O A 
Published: November 2021

Abstract
Tidal stream turbines offer an attractive method for stable renewable energy generation. Due to the periodicity of the tidal stream, a tidal stream turbine can be designed to operate in a bidirectional manner, thereby avoiding a yaw control system. This article compares a unidirectional design with a bidirectional design to estimate the expected power loss for the bidirectional design. First, a blade-element momentum theory approach is used to find optimum pitch angles for the blades and give a low-cost estimate of the power production. Next, fully-resolved computational fluid dynamics simulations are performed to validate the BEMT approach and gain insight into the flow patterns. The two approaches estimate that the power output of the bidirectional design is approximately 15-20 % lower than for the unidirectional design. This suggests that although a bidirectional design will have some power loss compared to a unidirectional design it is an interesting alternative as it can yield the same power output for both the ebb and the tide. The study also serves as a starting point for further optimization of the bidirectional design.
Dual lidar wind measurements along an upstream horizontal line perpendicular to a suspension bridge
Authors: Nafisifard M , Jakobsen J B , Cheynet E , Snæbjörnsson J T , Sjöholm M , Mikkelsen T 
Published: November 2021

Abstract
Remote wind sensing can complement traditional anemometry at a bridge site and contribute to an improved wind-resistant design of long-span bridges. This study examines wind lidar measurement data recorded along a 168-meter-long horizontal line perpendicular to the main span of a suspension bridge in complex terrain. The velocity data records are obtained by a pair of continuous-wave Doppler lidars (short-range WindScanners) installed on the bridge deck. The measurement data are explored in terms of the mean wind speed and mean wind direction upstream of the bridge. The spectral characteristics of turbulence along the line are also investigated in relation to the increasing sampling volumes of a continuous-wave lidar system at increasing distances from the monitored area. Wind characteristics observed by the lidars are compared to those derived from sonic anemometer data recorded above the bridge deck at midspan. The results provide new insight into the wind flow characteristics in a fjord and demonstrate the potential of lidar measurements in charting the wind flow around a bridge. A slight monotonic increase of the wind speed, as well as a decrease in the yaw angle, is observed as the distance to the bridge reduces from 160 m to 20 m, while lower wind velocities are accompanied by a more stable wind direction. Within 15 m from the bridge deck, the adopted lidar setup gives unreliable information due to the large angle between the lidar beams.
Case study on advanced 3D finite element limit analysis of counter-acts installed at Ormen Lange
Authors: Olsen C L , Krabbenhøft K 
Published: November 2021

Abstract
The design of counter-acts for the Ormen Lange Northern Field Development has previously been considered in other publications. Counter-acts were used to ensure pipeline stability during pipe-lay along route curves. The counter-acts were large diameter steel cylinders installed with self-weight penetration. The in-place design was completed with use of advanced Finite Element Analysis (FEA) program Abaqus and validated in parallel by the finite difference (FD) program, FLAC. This paper will present a comparison of the previous work to advanced 3D Finite Element Limit Analysis (FELA) with use of the software OPTUM G3. 3D FELA is newly developed for geotechnical design. The paper will show the advantage of the FELA which is based on the principles of limit analysis. The counter-act design is particularly complex and given the cylindrical shape with no internal base plate. This will challenge the element types in the FELA model. Further, the soil conditions are amongst the softest clay encountered in Norway further increasing the complexity of the design.
Numerical investigations of flow around subsea covers at high Reynolds numbers
Authors: Yin G , Zhang Y , Ong M C 
Published: November 2021

Abstract
Two-dimensional (2D) numerical simulations of flow over wall-mounted rectangular and trapezoidal ribs subjected to a turbulent boundary layer flow with the normalized boundary layer thickness of δ/D = 0.73,1.96,2.52 (D is the height of the ribs) have been carried out by using the Reynolds-averaged Navier-Stokes (RANS) equations combined with the k – ω SST (Shear Stress Transport) turbulence model. The angles of the two side slopes of trapezoidal rib varies from 0° to 60°. The Reynolds number based on the free-stream velocity U
∞ and D are 1 × 106 and 2 × 106. The results obtained from the present numerical simulations are in good agreement with the published experimental data. Furthermore, the effects of the angle of the two side slopes of the trapezoidal ribs, the Reynolds number and the boundary layer thickness on the hydrodynamic quantities are discussed.
Burst pressure design of the cargo tank used in a novel large subsea freight-glider
Authors: Xing Y. 
Published: November 2021

Abstract
This paper presents the burst pressure design of the cargo tank used in the University of Stavanger (UiS) Subsea Freight-Glider (USFG). The USFG is an innovative large underwater cargo glider drone that is 50 m long and has a DWT of 1500 ton. It uses variable-buoyancy propulsion instead of traditional propellers for movement. This is an extremely efficient propulsion method and allows the USFG to achieve an average energy consumption of less than 10 kW. Structural weight is a premium as the USFG is required to be neutrally buoyant in water. Therefore, the design of the cargo tank which is the largest component in the USFG needs to be optimal for minimal structural weight. One approach used in design optimisation is to utilise design codes and/or methods that are more precise and therefore allow for lower safety margins. This approach will be investigated in this paper for the burst pressure design of the cargo tank. The different parts of ASME BPVC codes will be compared. The sensitivity of the codes to changes in design parameters is also investigated. Lastly, some comments on the use of reliability methods to further optimise the design are also presented.
Numerical study on deployment of subsea template using coupled and uncoupled model
Authors: Hauge N O , Li L 
Published: November 2021

Abstract
This study compares deployment of a subsea template simulated as a coupled model and as an uncoupled model in the time domain simulation software Orcaflex. Defining vessel motion as prescribed simplifies the model and will therefore also decrease the simulation time. Models with predefined vessel motions are called uncoupled models. Vessel motion in a coupled model is a continuously calculated reaction to the forces acting on the vessel. Some software might struggle to run coupled models. The deployment simulations are narrowed down to focus on the incident where the template crosses the splash zone when lifted with an offshore construction vessel. Noticeable differences between the allowable sea state results are observed from the two different simulation methods. Running the time domain simulation as an uncoupled model gives lower allowable sea states than the results from the coupled time domain simulation model.
Computational fluid dynamics simulation of buoyant mixing of miscible fluids in a tilted tube
Authors: Ghorbani M , Giljarhus K E T , Skadsem H J , Time R W 
Published: November 2021

AbstractBuoyancy-driven flows and mixing of fluids with different densities occur frequently both in nature and as part of industrial processes within chemical and petroleum engineering. This work investigates the buoyant exchange flow of two miscible fluids in a long tube with closed ends at varying tilt angles using OpenFOAM. The study focuses on the evolution of the concentration field and front velocities of the mixing zone at different inclinations. Numerical results based on a miscible solver agree with previous experiments and direct numerical simulations. Treating the fluids instead as immiscible with no surface tension leads to unrealistically high front velocities at intermediate inclinations.
Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network
Authors: Bjørni F A , Lien S , Midtgarden T Aa , Kulia G , Verma A , Jiang Z 
Published: November 2021

Abstract
Numerical simulations in coupled aero-hydro-servo-elastic codes are known to be a challenge for design and analysis of offshore wind turbine systems because of the large number of design load cases involved in checking the ultimate and fatigue limit states. To alleviate the simulation burden, machine learning methods can be useful. This article investigates the effect of machine learning methods on predicting the mooring line tension of a spar floating wind turbine. The OC3 Hywind wind turbine with a spar-buoy foundation and three mooring lines is selected and simulated with SIMA. A total of 32 sea states with irregular waves are considered. Artificial neural works with different constructions were applied to reproduce the time history of mooring tensions. The best performing network provides a strong average correlation of 71% and consists of two hidden layers with 35 neurons, using the Bayesian regularisation backpropagation algorithm. Sea states applied in the network training are predicted with greater accuracy than sea states used for validation of the network. The correlation coefficient is primarily higher for sea states with lower significant wave height and peak period. One sea state with a significant wave height of 5 meters and a peak period of 9 seconds has an average extreme value deviation for all mooring lines of 0.46%. Results from the study illustrate the potential of incorporating artificial neural networks in the mooring design process.
Mathematical modelling of fluid flow in electromagnetically stirred weld pool
Authors: Enger K , Mousavi M G , Safari A 
Published: November 2021

Abstract
In this paper, a mathematical model has been proposed to study the relationship between electromagnetic stirring (EMS) weld parameters and the mode of fluid flow on grain refinement of AA 6060 weldments. For this purpose, fluid flow modelling using Navier-Stokes equation is described first, and then, the proposed mathematical approach has been discussed in detail. For demonstration, calculations to determine the fluid velocity in the weld pool of thin plate AA6060 were performed. The application of the model on the experimental results indicates that the best grain refinement is achieved at a transition mode from laminar to turbulent fluid flow.
Experimental investigation and ANN prediction for part quality improvement of fused deposition modeling parts
Authors: Tura A D , Mamo H B , Jelila Y D , Lemu H G 
Published: November 2021

AbstractFused deposition modeling (FDM) is the most prevalent thermoplastic additive manufacturing technology. Many input parameters and their settings have a significant impact on the quality and functionality of FDM parts produced. To enhance the quality of parts, it is critical to be able to predict surface roughness distribution in advance. The development of artificial neural network (ANN) models to forecast the impact of main FDM process factors on the part quality in terms of surface roughness while utilizing ABS (Acrylonitrile butadiene styrene) material is described in this work. Taguchi L9 orthogonal array was used to plan the experiments. Different printing input parameters such as layer thickness, orientation angle, and infill angle are used in the experiments. In terms of controllable input parameters, ANN is used to construct a predictive mathematical model. The effects of various printing settings on surface roughness were investigated using analysis of variance (ANOVA), main effect plots, and contour plots. Experiment findings and regression value are used to validate the models. The model has shown to be capable of adequately predicting responses within a maximum percentage error of 4.664 percent of arithmetic roughness average (Ra), which is a good agreement.