bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of different water temperatures on survival and growth rate of juvenile invasive apple snail, Pomacea canaliculata (Lamarck, 1822) under controlled environment
Authors: Md Latip Siti Noor Hajjar , Clement Marie Urai 
Published: March 2021

Abstract
Invasive apple snail, Pomacea canaliculata is one of the major mollusc pests affecting rice production in Malaysia. This pest not only gives fatal effects to rice but also decreases the water quality in the ecosystem due to the use of pesticides to control it. With the unpredictable changes on global climatic in Malaysia, it is important to have knowledge on the effect of water temperature on growth and survival rate of P. canaliculata in water bodies, in order to avoid loss in paddy field and its adverse effects on aquatic ecosystems. Water temperature is one of the most important environmental factors influencing the survival, growth rate, reproduction and behaviour of freshwater snails. The aim of this study is to evaluate the growth and survival rate of juvenile P. canaliculata at different temperature regimes. Growth and survival of juvenile P. canaliculata were evaluated at different constant water temperatures (15, 20, 25, 30 and 35°C). Our findings show, at 30° C the growth rate of P. canaliculata is higher compared with the other temperatures, however had low survival rate. Meanwhile, at room temperature (21 - 24°C), a higher survival rate (100%) was recorded. The results showed that different water temperatures affect the growth and survival rate of P. canaliculata and it is an important indicator for predicting and understanding the changes of water temperature when controlling this pest.
Optimization of Water-Food Nexus System under Dual Uncertainties
Authors: Ma Y , Li Y P , Huang G H 
Published: March 2021

Abstract
In this study, a fuzzy chance-constrained programming (FCCP) method is developed to synergetic plan water-food nexus (WFN) system under dual uncertainties. The developed method can tackle uncertainties expressed as probabilistic distribution and flexible parameter. Then, a FCCP-WFN model is formulated for the city of Jinan (China), in which 72 scenarios are designed with the consideration of different food demand levels, constraint-violation risk levels, and satisfactory degrees. Results indicate that (i) surface water would be the main water source for Jinan (accounting for 62.7% of water supply), and agriculture would be the largest water consumer (accounting for 55.5% of water allocation), therefore, rational management of surface water and reduction of agricultural water allocation are essential to alleviate the water shortage problem in Jinan; (ii) the annual arable land area is 628.4×103 ha to 683.4×103 ha, of which grain crops account for 62.1%, and the sufficient grain planting area can ensure food security in Jinan; (iii) uncertainties have significant influence on water allocation schemes, thus, managers should consider the impact of uncertainties during decision-making process, and make different management schemes according to different attitudes to system risks under undetermined conditions.
A Novel CO2Responsive Viscoelastic Surfactant based Clear Fracturing Fluid for High-Temperature Unconventional Reservoir
Authors: Shaikh Azizullah , Caili Dai , Yonpeng Sun , Foutou Varel , Bakhsh Allah , Ali Imtiaz , Ansari Ubedullah , Guang Zhao 
Published: March 2021

AbstractAn unconventional reservoir is a term to describe a hydrocarbon resource that could not be technically or economically recoverable without stimulation. Unconventional oil and gas resources are 4-5 times over conventional oil and gas resources. Currently, there is a limitation for using slick-water volume fracturing and gas (water) injection adding energy for drainage and displacement individually. Also, the efficient hydrocarbons production from the high-temperature unconventional reservoir is the main challenge. In the current study, a CO2based viscoelastic surfactant fracturing fluid with a specific molar ratio of erucic acid, 2,6,10-trimethyl-2,6,10-triazaundecane, potassium hydroxide, and carbon dioxide (EA-TMTAD-KOH-CO2) was developed as a good candidate for high-temperature and water alternating treatment for high-temperature unconventional reservoirs. The fracturing fluid will play the role of “one with multi-purpose” by proppant-carrying, CO2energy supplementary displacement, and surfactant imbibition drainage displacement. The fracturing fluid (EA-TMTAD-KOH-CO2) performance evaluation method for determination of shear and heat resistance, viscoelasticity, proppant carrying capacity, gel breaking ability, and salt tolerance is employed as evaluation indices by using HTHP rheometer. The rheological results of steady shear viscosity of the fracturing fluid system confirm that the EA-TMTAD-KOH-CO2was observed in the properties of a wormlike micelles (WLMs) structure, micelles assembly, and the intermolecular interactions. The steady shear viscosity above 41 mPa.s at a shear rate of 170 s‒1and temperature 95 °C validates the excellent proppant carrying capacity as per national industry standards of the fracturing process. Further, the gel structure breaking at temperature 135 °C and 170 s‒1bear the shear viscosity less than 5 mPa.s, which results in a rapid flow back from the well after the fracturing process. Moreover, the fluid system has high salt tolerance against different inorganic salts such as NaCl, KCl, CaCl2, and MgCl2using different concentrations. By retaining the desirable qualities such as; easy to prepare, environment friendly, commercially available, high in viscoelasticity, and thermally stable; the fracturing fluid system (EA-TMTAD-KOH-CO2) will be an outstanding candidate in industrial applications like water-alternating and high-temperature unconventional reservoirs.
Adhesive Bonding Analysis of Single Lap Joint Composite E-Glass Fiber WR 600
Authors: Firmansyah H N , Brillian IW , Bangga DA 
Published: March 2021

Abstract
Composite is a material that is widely used in the manufacturing industry, especially in aircraft manufacturing. The use of composites generally lies in the airframe structure, which consists of joints. Composite joints are a method for combining structures and have become important research. The purpose of this study is to analyze the bonding strength and failure modes of single lap joint composite made of Epoxy resin and WR 600 Glass Fiber with different compositions for tensile testing. The standard for tensile testing is in accordance with ASTM D5868-01. The process started by making a specimen using the hand lay-up method with a vacuum bag. There were two types of specimens; A is a specimen with 74.82% resin and 25.18% fiber, while B is 66.42% resin and 33.57% fiber. Simply put, specimen B has less resin than specimen A. Tensile test results show that Specimen B had higher strength than specimen A. For bonding failure mode, specimen A was adhesive failure and for specimen B was cohesive failure. It was showed that the composition of the composite affects the shear lap strength.
Finite element analysis of village car pickup ladder frame chassis- a case study
Authors: Roziqin Ahmad , Kriswanto  , Aryadi W 
Published: March 2021

Abstract
This study aims to analyse the structural design of a village car chassis that uses a ladder frame type to simulate extreme road conditions in countryside areas. The research method used is finite element analysis. The material used for the simulation is Carbon steel tube JIS G 3472 STAM, STAM 440 G and for the bracket used Carbon Steel AISI 1020 (UNS G10200). The load simulation was varied from the chassis conditions of 0°, 15° uphill, and 15° downhill. The pedestal conditions on the chassis are varied from 4 wheels to 3 wheels. The variation of loads applied to the chassis structure consists of 1) normal loads and 2) extreme loads. Based on the data from the analysis of static loading on the village car chassis, the maximum stress generated was 297 N/mm2 in the 15° uphill chassis conditions without the support of one right rear wheel. The maximum displacement was 12.2 mm in 15° uphill conditions without the support of one left rear wheel. The average value of von mises stress on the chassis was 156.41 N/mm2 with an average safety factor value of 2.19 and an average displacement value of 4.36 mm. It can be concluded that the chassis design is safe to withstand dynamic loads according to industry specifications.
Characterization of synthetic fibers and cotton composites used in prosthetic socket
Authors: Widayat W , Al-Janan D H , Wakhidah D F , Prabowo D 
Published: March 2021

Abstract
This study aims to determine the bending and impact strength of the laminate composite Co/G/Co (cotton - glass fiber - cotton) and C/G/C (carbon fiber - glass fiber - carbon fiber) that are used by Garuda Medica, an orthotic and prosthetic manufacturer in Tridadi, Sleman Regency, to make prosthetic sockets. Co/G/Co and C/G/C laminate composites with layer variants of 2/1/2 and 4/2/4 for each composite were made by hand layup method. All variants were tested for their flexural and impact strength. The addition of the laminate layer and the replacement of the outer laminate increase the strength of the composite. The replacement of the outer laminate from cotton to carbon increased the strength. The lowest impact strength of the composites, namely the [Co2/G/Co2] variant, has met the requirement of the socket impact strength that is suitable for use. However, the stacking sequence of Co/G/Co and C/G/C are not recommended when viewed from the strength and classification of the constituent laminates.
Dual-axis solar tracking system based on Raspberry Pi imaging
Authors: Suryanto A , Hudallah N , Andrasto T , Adhiningtyas C F , Khusniasari S A 
Published: March 2021

Abstract
Photovoltaic can transform daylight into electrical power. The application of solar tracking system improves the efficiency of photovoltaic system by increasing solar radiation fall on PV’s surface. This paper provides a low-cost solar tracking system based on image processing. Using Raspberry Pi Camera Board as a sensor to eliminate the need of another sensor. Image captured by camera fed to Raspberry Pi to calculate the position of the brightest sky body from the system’s perspective. the proposed system will face to the east and go to sleep mode after the sun set and start to work after the sun rise. This dual-axis solar tracking system based on Raspberry Pi imaging works properly whether it’s a sunny or heavily cloudy day.
Comparison analysis performance microstrip antennas for software and measurement
Authors: M Oka I G A A , Cahyadi C I , Sitopu M W 
Published: March 2021

Abstract
In antenna design there are several antenna software that can be used to design for example CST, Microsoft office AWR, Advance Digital Signal (ADS). After calculating using the antenna formula, then it is designed using antenna software. Antennas are printed and measured to determine the performance parameters of the antenna. When designing by calculating using formulas, and software, which is then measured using the Vector Network Analyser (VNA). In this study, it can be seen the level of error using antenna software, as well as measurements on performance parameters. The antenna size is 49x49 mm2 both using antenna software and measurement. The result of performance parameters return loss are -47.43 dB, bandwidth of 163.7 MHz and VSWR 1.009 using software at the frequency 2.4 GHz. The result performance parameters by measurement, return loss decreases to -12 dB, bandwidth of 119 MHz and VSWR 1.111 at frequency 2.334 GHz. The difference in the performance parameter values between software and measurement can be influenced by several factors are when printing antenna, soldering that is to hot causes copper in the antenna to become hot so it affects the propagation of electromagnetic waves.
Sentiment analysis of hate speech as an information tool to prevent riots and environmental damage
Authors: Marchellim G A , Ruldeviyani Y 
Published: March 2021

Abstract
Twitter is currently one of the most popular social media in the world. Indonesia ranked in 8th the most Twitter users from all over the world with the 10.65 million users. President of the Republic of Indonesia, Joko Widodo, was ranked 8th leader with the most followers on Twitter, with 11 million users. Everyone can express or give an opinion on something or what they thought through social media including create or spreading the hate speech. One result of this hate speech can lead to mass demonstrations which can result in environmental destruction. Our research focused on sentiment analysis of hate speech towards Indonesian president by comparing the performance between Random Forest algorithm and Support Vector Machine algorithm to prevent the negative result of hate speech that can be happen in the future. This research obtained 550 tweets and labelled manually whether it is categorized as a hate speech or not and divided into each of 275 data for positive and negative sentiments. Random Forest classifier has the best performance by combining gini criterion with the number of trees 128 with the result of the accuracy score is 76.7%, precision score 82.7%, recall score 64%, and F1 score 73.3%. Support Vector Machine classifier has the best performance by combining the linear kernel type and set the C parameter to 100 with the result of the accuracy score at 74.7%, precision score 100%, recall score 49.3%, and F1 score 66.1%. Random Forest classifier performs its best in scoring F1 score, accuracy, and recall while Support Vector Machine classifier performs its best in scoring precision. Based on the results, Random Forest classifier for hate speech detection can be applied for hate speech detection to prevent damaging the environment as it shows better score on accuracy and F1 score than Support Vector Machine Classifier.
Renewable energy power generation forecasting using deep learning method
Authors: Widodo D A , Iksan N , Udayanti E D , Djuniadi  
Published: March 2021

Abstract
Smart Micro Grid in household areas aims to meet electricity needs through the integration between state power plant with renewable energy sources so that the electricity used does not depend entirely on state utility. Smart Micro Grid also enables the availability of energy management services supported by Machine Learning (ML) technology, Big Data, Artificial Intelligence (AI), Internet of Things (IoT) and smart sensors so that consumer use of electricity is more efficient. To improve energy management services and distribution of renewable energy sources, new innovations in ML technology are needed to produce accurate learning models that can be used in the energy analysis process, such as monitoring, prediction, forecasting, scheduling and decision-making. However, the complexity of the problems in the smart grid system, which includes uncertainty and non-linearity, affects the more complex the energy data structure generated. Therefore, the simple ML method will not be able to perform the Learning process because it is limited to simple raw data processing. Therefore, the Deep Learning (DL) method can be used as a Learning method on data that has a complex and large structure. In this paper, Deep Neural Network (DNN) method will be developed using Long Short-Term Memory (LSTM) as a Learning model to provide Future Accurate Prediction (FAP) on electricity use and on renewable energy plants. Prediction test using Confusion Matrix accuracy value and RMSE error value
Prototype design of waterwheel micro hydro power plants for small water discharge
Authors: Suryatna B S , Agustina T , Sugiarto  
Published: March 2021

Abstract
The findings of this study was the Prototype Model of Micro Hydro Power Plant (MHPP) for small water discharges (less than 10 Liters per Second), namely MHPP waterwheel and the Speed Converters from waterwheel to Dynamos, named “Converters” MHPP. This study was aimed to produce a prototype design of a wind turbine-based MHPP for small water discharge. This study used an engineering-based approach to the design of prototype MHPP. The design of the prototype MHPP for small water discharges (less than 10 liters per second) consists of 6 components, a wheel diameter of 4-5 meters, the turning machine from a pinwheel to a dynamo given the name “converter”, Dynamo, House where the prototype MHPP, Conductor Network of MHPP to homes, and safety tanks and waterways.
The effect of naphthol dyes composition on the results of shibori
Authors: Widowati  , Sholikhah R , Atika  , Sudiyono  , Fidloiyah K 
Published: March 2021

Abstract
The objectives of this study were 1) to determine the effect of the naphthol dye composition on the tie-dye results, and 2) to determine the best naphthol dye for tie-dye on primisima fabrics. This research is an experimental study with independent variables, namely the composition of the dye naphthol with a weight variation of 2 grams, 3 grams, and 4 grams AS.BO with a composition of 4 grams of BB salt and 6 grams of salt, and 8 grams of table salt. Dependent variable; the tie-dye results in primisima which are reviewed from the results of the color sharpness test and the sharpness of the motif test. Control variables: binding technique, dyeing technique, tools, and people working. The data collection method used in this research is observation. The data analysis technique used was a single ANOVA. Based on the data analysis, it can be concluded that: 1) there is an effect of the composition of the dye naphthol, namely 2 grams and 3 grams with a salt composition of 4 grams and 6 grams on the jumputan result on primisima cloth, and 2) the composition of 3 grams/liter naphthol ASBO and 4 grams/liter of BB salt has the sharpest color and motif.
Optimization of microwave-assisted extraction of dyes from brown seaweed (Sargassum duplicatum) using response surface methodology
Authors: Handayani P A , Pujianti S , Al’adl A H 
Published: March 2021

Abstract
Batik is an Indonesian heritage that can use natural or synthetic dyes. Synthetic dyes are quite dangerous for the environment and human health. To reduce the use of synthetic dyes, brown seaweed (Sargassum duplicatum) extraction was conducted as a natural coloring. Brown seaweed is a plant that has the potential to an abundant amount of natural coloring in Indonesia. This research aims to obtain optimum conditions in the process of extracting brown seaweed using the Microwave-Assisted Extraction (MAE) method. The material used is brown seaweed obtained from Gunungkidul, Yogyakarta Indonesia, and ethanol as a solvent. The research variables are power 200; 400; 600 watts, 15 extraction time; 30; 45 minutes, and seaweed concentration 0.06; 0.12; 0.18%. To get the optimum conditions in the process of extracting brown seaweed, it uses the Response Surface Methodology (RSM). The results showed that there were interactions between variables that affected the yield. Yield tends to increase with increasing power, time, and concentration of seaweed in the solvent. The optimum conditions of the extraction process in this study were at 400 watts power, 30 minutes, and seaweed concentration 0.12% with a yield of 3.87%..
Achievement of green campus indications based on assessment indicators on H-BAT program Universitas Negeri Semarang
Authors: Prihanto T , Fathoni K , Prasetiyo B 
Published: March 2021

Abstract
Universitas Negeri Semarang (UNNES) has a spirit to become a Conservation and International Reputation University is realized through strategic missions. One of the conservation-oriented implementation programs is H-BAT (Green, Clean and Healthy) Program. In its implementation, there is a problem, namely the achievement of H-BAT Program has not been maximized during the last 3 years in assessment. The objectives of this research are: (1) to identify of the potential and character of environmental support in the work units; (2) to determine the achievement of the indication of a green campus based on the assessment indicators on H-BAT Program. This research was carried out in four stages: (1) Data collection; (2) Spatial data processing; (3) Non Spatial data processing; (4) Analysis (ecological, technical standards); The results achieved in June 2020 are as follows: FT got 87,50%, FE got 85,87%, FMIPA got 81,52%, BUHK got79,49%, FIP got 73,91%, LP3 got 69,23%, LP2M got 63,46%, FIS got 60,33%,PPS got 57,07%, FIK got 56,52%, FH got 52,72%, FBS got 49,46%, TIK got 40,38%, BPB got 34,62%, Library got 30,13%, Archive got 17,31%. From these results, it can be seen that there is a lack of maximum achievement due to, among others, the lack of guidance and technical assistance in the management of the unit. So it is necessary to complete governance guidelines and technical assistance that are more intensive in unit governance to achieve the goals of UNNES as a green campus.
Dynamic analysis of on-street-parking impact on road capacity
Authors: Basuki K H , Wahyudi K , Supriyono  
Published: March 2021

Abstract
On-street-parking research has resulted in and conclusions to improve road capacity. The aims of this study to determine the existing condition of road capacity based on-street-park. Dynamic on-street-parking influenced by two indicators, space and time, as well as the scenarios needed if the road capacity does not support. Dynamic analysis was conducted twice, the first one is the study of the traffic volume on-road section with the dynamic parking and queue in each of the three zones in drop-off and pick-up areas. The parking analysis has already used to many studies [1] [2]. Whereas the equations have improved from traffic behaviour approach[3], and dynamic queuing equation model [4] are used for queue analysis [5]. From the results of the analysis, DS values for the road sections before and after the dropoff pick-up area were 0,044, while in the drop-off and pick-up area was 0,155. From the queue analysis, the value of ρ <1 is obtained for all zones. Based on a study location that has 4 lanes in direction, the road configuration scenario is not yet needed, but the road sections before and after the drop-off pick-up area will have a DS value of 0,75 in 2050, while the drop-off pick-up area in 2036. Further research needs to be done by calculating the road’s effective-width due to vehicle parking manoeuvres.
The obstacles of green building implementation in Semarang city
Authors: Nugradi D N A 
Published: March 2021

Abstract
The Semarang City Government has issued a Mayor Regulation on Green Buildings since 2019. Since then the construction of buildings with a certain floor area in Semarang City must follow this regulation. Evaluating implementation constraints related to green building construction based on the experience of the development actors, is an important thing to do. This study aims to identify obstacles in realizing green buildings in the city of Semarang. Data collection was carried out through a questionnaire survey of respondents from development actors involved in green buildings such as contractors, consultants and project owners and bureaucratic officials related to green building licensing. Data analysis was performed using descriptive analysis to reach agreement between respondents. Next, a hierarchy of these constraints will be sought. Constraints found in realizing green buildings are: lack of socialization from the city government, alternative materials, lack of best practices, experts, and financing. For this reason, a strategy is needed to overcome these obstacles from every aspect or based on a combined consideration of all aspects.