bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of learning models conceptual understanding procedures by using experimental methods on understanding physics concepts of students
Authors: Nurlina N , Lestari R A , Riskawati R
Published: July 2020

This study was True Experimental Research aimed to know : (1) Understanding the concept of physics concept of education by using Conceptual Understanding Procedures Models Using The Experimental Methods and Konvensional Models, (2) To Improving the understanding of the concept of students physics in X MIA 1 and X MIA 2 and (3) The difference in understanding the concept of the student taught to use Conceptual Understanding Procedures Models Using The Experimental Methods and not to use Conceptual Understanding Procedures Models Using The Experimental Methods. The Population in this Research is an X class in Muhammadiyah High School of Limbung there are 60 people divided into two classes that X MIA 1 and X MIA 2 Class. The sample of this research was taken randomly with the random sampling technique as many as two-class are X MIA 1 and X MIA 2. The Instruments of Research used the instruments of understanding the concept of physics in the dual form is 35 number of multiple-choice that meet valid criteria. From the research that has been done can be concluded : (1) Understanding of the concept of a well-taught concept of education by using Conceptual Understanding Procedures (CUPs) Models Using The Experimental Methods are in the middle category, (2) Understanding of the concept of a well-taught concept of education by using Conventional Models are in a Low category, (3) There’s a difference in understanding the concept of the student taught to use Conceptual Understanding Procedures (CUPs) Models Using The Experimental Methods and not to use Conceptual Understanding Procedures Models Using The Experimental Methods.
Development of physics practicum module based on collaborative teamwork learning model
Authors: Mustari M , Marwoto P , Iswari R S , Ginanjar F A , Anjelinar Y
Published: July 2020

This study aims to determine the feasibility of physics practicum modules based on collaborative teamwork learning models. Type of this research is a Borg and Gall development research. The stages are potential and problem, data collection, product design, design validation, product revision, product trial. The research subjects involved consisted of experts (material, media and religious) and VII grade students of SMP / MTs. The expert gives an assessment of the level of validity of the material and the suitability of the design physics practicum modules, while students assess the level of physics practicum modules. The results obtained were the feasibility of a physics practicum module based on collaborative teamwork learning models based on expert judgment was considered very feasible, with the percentage of material expert validation 83.40%, media experts 87.41%, and religious experts 95%. Educators and students response ositively to the attractiveness of physics practicum modules based on collaborative teamwork learning models as learning media, with the percentage of educator responses 93.75%, small group test 90.19%, and field testing 91.18%. The development of physics practicum modules based on collaborative teamwork learning models was declared very feasible and received a positive response to be used as a learning media.
Digital oscillation rails: developing physics learning media to determine the acceleration value of earth’s gravity
Authors: Diani R , Satiarti R B , Lestari N , Haka N B , Reftyawati D , Padilah A , Komikesari H
Published: July 2020

This research aims to develop a feasible learning media for high school physics learning on mathematical swing material, especially in determining the value of Earth’s gravitational acceleration. The learning media developed is a visual aid in the form of digital oscillation rails. This is a research and development research using the ADDIE model (analysis, design, development, implementation, and evaluation). The results of validation, teacher responses, and trials to students indicate that the developed digital oscillation rails are in the highly feasible category. Digital oscillation rails made of two oscillations tracks. The average values of gravitational acceleration obtained based on three experiments are 9.05 m / s2 for a track with 25 cm radius and 9.97 m / s2 for a track with 15 cm radius.
Flipped classroom mode for geometry optics teaching and learning: teachers’ perceptions and expectations
Authors: Asmayanti D , Abdurrahman A , Viyanti V , Herlina K
Published: July 2020

Integrating active learning with traditional learning in the classroom can actually be done simply. However, teachers are still trying to find learning innovations so the learning process can be focused on each student. One of the learning models that can be used by teachers is flipped classroom. This study aims to analyze the perceptions and expectations of teachers towards the use of flipped classroom models for the learning process of physics. The research model used is a mixed-method with Sequential Explanatory Strategy. The study was conducted in high schools in the Lampung province with the subjects of the research were 60 physics teachers. Data collection used a four-point questionnaire instrument with Likert Scale and interviews. The results of the study showed that teachers had considerable expectations for the use of flipped classroom model. The flipped classroom learning model can help teachers to convey all the physics material easily so as students can understand the material, active, interest with physics, then communication and the relationship between teachers and students will increase. The flipped classroom model will work well if it is supported by appropriate media and teaching materials. The results of this study will be a reference for the next research.
Optimization of using Baturaja fly ash as a Portland Composite Cement (PCC) additive
Authors: Rumiyanti L , Wulandari S , Damayanti T , Sembiring S , Warsito W
Published: July 2020

There has been researched on the optimization of fly ash Baturaja as a cement additive PCC. The purpose of this research is to know the optimal percentage of fly ash, which can be added to the process of making PCC cement, which still produces excellent quality cement and fulfills SNI and knowing the effect of adding fly ash to physical testing and chemical testing. The test was done physically, Blaine test, setting time test and compressive strength test for three days, seven days, and 28 days. Meanwhile, chemical testing is the Loss of Ignition (LOI) test, Free Calcium Oxide (FCaO) test, and Insoluble Residue test (IR). Based on the result of research, the most optimal percentage is when adding 6% ash fly proportion. The higher the ratio of fly ash, will result in an unstable Blaine value. The higher the proportion of fly ash is added, the compressive strength will be smaller, and the setting time will be longer. Meanwhile, the higher the addition of fly ash, the value of loss of ignition, Free Calcium Oxide, and insoluble residue value will be higher.
Physics ludo integrated with scientific literacy as a Newton’s law learning media
Authors: Yuberti Y , Sairi A P , Nanto D , Sholeha S
Published: July 2020

Newton’s Law, as a part of the topic in physics learning, is a fundamental knowledge that should be understood by students. However, most students find it hard to understand the material due to the lack of motivation to learn physics. The researchers proposed a famous game called physics ludo to solve the problem. The physics ludo game is a tool to know the feasibility and attractiveness of science because it contains problem formulation in Newton’s Law material. The researchers investigate the students’ responses to the media. The model used in this research is ADDIE (Analyze, Design, Development, Implementation, and Evaluation). The subjects of this study were 78 high school students from three different senior high schools. Instruments of data collection used were questionnaires given to the material expert, media expert, religious expert, teacher, and students to test the feasibility of the physics ludo game. The results of this study show that the media is highly feasible with a percentage of 87% from the material expert after being revised, the percentage from the media expert is 88% with a highly feasible category, the percentage from the religious expert is 95% with a highly feasible category, the percentage from the teacher is 89% with a highly feasible category, and the percentage from the students is 82% with a highly feasible category.
Preliminary study of activated carbon from water chestnut (Eleocharis dulcis)
Authors: Suryajaya  , Haryanti N H , Husain S , Safitri M
Published: July 2020

Preliminary study of activated carbon from water chestnut (Eleocharis dulcis) has been done. The water chestnut plants, which were taken from Barito Kuala regency, South Kalimantan, were carbonized at 400 °C. The carbonized time were varied in 1 and 2 hours. Then the carbons were activated by KOH and H2SO4 solutions. The activated time were also varied in 1 and 2 hours. The physical-chemical properties of water chestnut charcoal, such as water content, ash content, volatile and fixed carbon values, before and after activated, were characterized. The results showed that the water content, ash content, volatile and fixed carbon values of activated carbon were in the range of 5.63-12.17%; 10.95-17.22%, 41.78-56.18% and 34.66-45.05%, respectively.
Synthesis and characterization of LaCr(1-x)MoxO3
Authors: Yuliarni T , Situmeang R T M , Simanjuntak W , Ratri C R
Published: July 2020

LaCrO3 is a well known perovskite compound utilizing as semiconductors, catalysts, fuel cell, electronic devices, and others. In this preliminary study, the properties of LaCrO3 added by varying Mo contents were examined. TheLaCr(1-x)MoxO3 (with x=0.01 and 0.03) were synthesized by sol-gel pectin method using La, Cr nitrate, and ammonium molybdate as precursors, freeze-dried, and followed by calcination at 700 °C for 3 hours. The prepared materials were characterized using XRD, TEM, and DRS. The formation of the compounds for x=0.01 are La2Mo2O9, LaCrO3, and Cr2O3, and for x=0.03 are La2Mo2O9, LaCrO3, and La2O3. The crystallite sizes were determined using Scherrer formula and they are found to be 24 nm (x=0.01) and 33 nm (x=0.03). The TEM images showed that the obtained grains size was in the range of 24 nm (x=0.01) and 34 nm (x=0.03). The bandgap values are 2.59 eV for x=0.01 and 2.68 eV for x=0.03.
The combination of interactive conceptual learning models and multimedia interactive to minimize misconceptions on the science content
Authors: Marisda D H , Handayani Y , Rahmawati
Published: July 2020

This research was accompanied to minimize the misconception of physical education students at the Muhammadiyah University of Makassar in Integrated Science learning through the combination of interactive conceptual learning models and interactive multimedia (IMM) Macromedia Flash. The research conducted included several stages, namely 1) identifying integrated science material that enables students to experience misconceptions, 2) designing scenarios of learning models and interactive multimedia-based learning media, 3) conducting trials, 4) implementing learning followed by data analysis. Data were analysed quantitatively and qualitatively. Qualitative data in this study are in the form of characteristics of the material selected in the identification stage. From the analysis of the misconceptions, data on misconceptions are obtained. The response of the students and the lectures to the presented learning model is then narrated. Quantitative data in this study are in the form of initial test scores and final test scores. Based on the outcomes of the material analysis in the Integrated Science course that has the potential to cause misconceptions in the impact of acid rain pollution. Form the quantitative analysis. It shows that the percentage score of misconception in the pre-test stage has a high level in each item and has decreased in the post-test stage for each item. Misconceptions analysis was carried out on each item. The largest percentage of misconceptions occurred in question number 8, the percentage of pre-test scores of 81%, after being taught to obtain a post-test score of 18,9%. It shows a decrease in the percentage of misconceptions by 62,1%. It shows that lectures by providing Macromedia Flash learning media simulations can minimize misconceptions.
The effect of annealing temperature thin films indium doped SnO2 to optics properties and material composition
Authors: Doyan A , Susilawati  , Hakim S , Muliyadi L , Taufik M
Published: July 2020

This study aims to analyze the effect of annealing of tin oxide thin film doped with Indium. SnO2 thin film has many benefits as electronic devices, solar cells, LPG sensors, etc. Preparation of SnO2: In a thin film using a sol-gel spin coating technique that produces a thin film of high quality. The transmittance of the thin film experienced decreases with increasing ripening temperature with the transmittance of 96.6, 94.7, 89.6, 87.1, and 78.2% at a wavelength of 350 nm with annealing temperature increase, respectively. Thin-film absorbance has increased with higher heating temperatures i.e 3.01, 3.34, 3.41, 3.62, and 3.77, respectively. SnO2 thin film gap energy: In decreases due to increased ripening temperature at room temperature (35), 50, 100, 150, and 200 °C ie 3.65, 3.61, 3.59, 3.58, and 3.56 eV for direct energy gap and 3.96, 3.94, 3.93, 3.91, and 3.89 eV for indirect energy gap, respectively. The decreasing value of the gap energy makes the SnO2: In thin-film material faster in carrying current. The activation energy are decreased by increasing annealing temperature with value 2.91, 2.73, 2.15, 2.11 and 2.09 eV, respectively for increase temperature which makes electrons flow faster. Furthermore, thin-films composition with mass percentage Sn are 16.97% with atomic 2.77% and In are 1.46% with atomic 0.25%.
Vector in a graph line, is it important to teach physics?
Authors: Poluakan C , Mondolang A , Mongan S
Published: July 2020

It has been widely reported in various research journals about the difficulties of students in studying vectors and their application in physics. For this reason, research has been conducted which aims to identify misconceptions about vectors and application in physics concepts and the use of graph lines in the teaching of physics. Therefore research has been carried out based on the use of representation. The research method uses MOMBI which emphasizes the treatment of class formative assessment models. The study was conducted on 39 pre-service teacher students who had studied Mathematical Physics and Mechanics. By comparing the pre-test and post-test scores, the results of the study are that the decrease in score is incorrect in terms of the concept of drawing tail-tips or head-magnitude vectors from 89.7% to 38.4%, and the decrease in score is not correct in terms of implementation in determining the vector of the center of gravity from 92.3% to 35.8% and then the decrease in score is incorrect in terms of the concept of determining position vector from 97.4% to 45%. In conclusion, the use of graph lines in the teaching of vectors has positively increased students’ comprehension abilities related to vector concepts and their application in physics concepts. The recommendations of the research results, namely the importance of teaching materials and university physics reference books, include graph lines in the picture of concepts that use vectors, such as vectors of force, momentum, torque and so on.
Three-dimensional model of a decision-making problem under multicriterial conditions
Authors: Savkova E O , Chengar O V , Shumaieva O A , Shevchenko V I
Published: July 2020

The article proposed and reviewed a 3D model of the utility matrix, showing its analysis and proposing a generalized algorithm for solving a multi-critical decision-making problem under conditions of uncertainty based on this model. The essence of the technique is that the matrix-cube is divided into sections parallel to any axis (the axis of alternative solutions, the axis of undefined external situations, or the axis of criteria) and as a result we get several two-dimensional utility matrices to which we can apply any of the standard methods for solving decision-making’ problems. The application of the described method to finding the optimal solution in the conditions of uncertainty is shown by example.
Augmenting reality in the tasks of classifying objects in aerospace images
Authors: Kuchuganov A V , Kasimov D R , Khvorenkov D A , Lebedev O B , Zhiglaty A A
Published: July 2020

The problem of increasing the reliability of object recognition in aerospace images consists in the insufficient quality of image segmentation based on pixel colour characteristics and boundary shape descriptors. The paper proposes an approach based on description logic with an extension on graphs. The essence of the approach is the searching for relevant cases in the ontological base by calculating the degree of similarity and identifying differences of attributed graphs of cases. With the help of retrieved cases, the object structure and the boundary shape are refined. After that, objects can be augmented with subject domain information stored in the ontological base. Representation of the structure of cases in the form of attributed relational graphs allows avoiding the rapid growth of the case base, since the similarity of connected subgraphs is generally sufficient. The experiments are conducted on urban area aerospace images.
Camera testing technique for auto recognition
Authors: Kuznetsova S Yu , Zhigalov K , Daudov I M
Published: July 2020

The article describes the methodology for testing various cameras for their use in systems using neuro intelligence. This task is vital since the effect of the artificial intellect in recognizing incoming images is highly dependent on the quality of the input image. For these purposes, a detailed review of all relevant parameterization of measures in their assessment is given. The article can be useful for creating new systems oriented to the analysis of video images with a selection of cameras. The given method has been tested on real cameras and described in the article.
Modeling the assessment of the industrial enterprise performance with a balanced scorecard
Authors: Lobkov K Yu , Fedorova N V , Stupina A A , Tynchenko S V , Fedorova A V , Ridel L N , Dubrovskaya T V
Published: July 2020

This article proposes a techniques package for the development and use of a balanced scorecard to assess the industrial enterprise management activities effectiveness. These methods allow us to create a system model for evaluating the effectiveness of enterprise management activities. Since effective management activity is one of the most important elements for the successful functioning of any enterprise, its important business process, the importance of evaluating such activities is beyond doubt. At the end of the planning period, an assessment is made in percentage terms of the marketing activities effectiveness of each enterprise marketing service employee. For these purposes, the final coefficient of key performance indicators is calculated. Using a rating scale, we evaluated the effectiveness of marketing management of an industrial enterprise using the concept of a balanced scorecard. The following indicators were identified as elements of the FAROUT scale: future orientation, accuracy, resource efficiency, objectivity, usefulness and timeliness. These indicators are the basis for evaluating marketing activities. The relevance of this study is based on the fact that using various methods of evaluating marketing activities; you can adapt to market changes and choose the optimal development strategy.
Hardware-software system for studying the effectiveness of propeller-engine groups for unmanned aerial vehicles
Authors: Morozov V A , Yahin A M , Zhirova A E , Parshin A V
Published: July 2020

The subject of the article is the development of a laboratory tester for the study of the effectiveness of propeller-engine groups (PEG) of electric unmanned aerial vehicles (UAV). The need to create such solutions is due to the fact that the development and testing of unmanned platforms in the format of prototypes and their flight tests are time-consuming and expensive processes, it is not possible to assess the limit parameters of motors and their electronic speed controllers (ESC). Hardware devices and software for testing PEG separately can reduce the cost and speed up this process, as well as make the result more optimal both in terms of technical parameters and in terms of economic efficiency. A solution has been developed that allows to measure the motor amperage, the generated thrust of PEG, the voltage on the battery, the temperature of the motor, and then calculate PEG effectiveness indicators on their basis, visualize them in graphs, and thus compare the thrust and energy efficiency of various engine-propeller groups with propellers up to 30” ‘in size’. It is shown how the test results allow you to choose the optimal solution for assembling propeller-motor groups for light and medium UAV, and optimally design unmanned platforms for airborne geophysical prospecting.
Multilevel model of time dependences of acoustic emission parameters as the basis for nanodiagnostics of the state of technical objects
Authors: Nosov V V , Artyushchenko A P , Peretyatko S A , Khokhlova E D
Published: July 2020

The method of acoustic emission (AE) and the information-kinetic approach to AE diagnostics are identified as the most promising from the point of view of observing the process of growth of damage and optimization of production technologies. Based on a multi-level model of the time dependence of AE parameters, estimation of elastic homogeneous fracture intensity parameters of representative structural elements of a product and universal strength nanoconstants, the approach combines the traditional experimental way of resource estimation and kinetic representations of fracture. This allows to separate the effect of macro- and nano-factors on the AE of the material, variously related to the strength and acoustic emission activity of the material. A multilevel model and an informational-kinetic approach to acoustic emission diagnostics are described, combining nano-, micro- and macro-factors affecting acoustic emission activity, reliability of technical objects and methods for assessing their resource. On the example of a welded pressure vessel, the implementation of the method of its nano-diagnosis is considered. The possibility of effective resource estimation of various technical objects based on the information-kinetic approach to their acoustic emission diagnostics is shown. As a methodological basis, a multilevel model of the time dependences of the AE parameters is taken, which describes their behavior under conditions of strength and metrological heterogeneity.
The study of the accuracy of the robot movement along a given path considering the workspace boundaries, velocity and inertial properties of the drive
Authors: Khalapyan S Y , Rybak L A , Kuzmina V S , Kholoshevskaya L R , Ignatov A D , Popov M V
Published: July 2020

The paper considers the accuracy characteristics of a robot machine with a parallel structure as a control object. A specifically developed model of a planar 3-RPR mechanism with an electric drive based on a DC motor made it possible to experimentally study the dependence of the following robot output link accuracy according to the speed, weight and size characteristics of the drive and mechanism.
Monitoring the technical condition of the electric centrifugal pump during the repair process
Authors: Suleimanov R I , Khabibullin M Ya , Suleimanov Re I
Published: July 2020

The article discusses the process of monitoring the technical condition of an electric centrifugal pump during repair work at a service company. The procedure for repair work, the identification of defective parts and components of the pump section, and electric motor, visual and instrumental control of the technical condition are described. The results of the rejection of parts and assembly units are analyzed. Recommendations have been developed to reduce the rejection of parts and units of the installation.
Types of cloud deployment
Authors: Tavbulatova Z K , Zhigalov K , Kuznetsova S Yu , Patrusova A M
Published: July 2020

As network data rates increase, so does the spread of virtualization. Each type of cloud fits better or worse to a certain task. The paper details the major types of clouds currently in use and their deployment models. The paper can be useful to both simple users and information security professionals to deploy both private home family clouds and cloud computing systems of large corporations.
Simulation frameworks to embedded fabricate systems
Authors: Shukalov A V , Zharinov I O , Kostishin M O
Published: July 2020

The objects of this article are the simulation frameworks to design the embedded fabricate systems. An embedded fabricate system is a part of a modelling factory (MF) and an additive factory. It is proposed to solve the problem of synthesizing the embedded fabricate systems in an automated way. The simulation frameworks are a component of the software of an MF specializing in the development of digital copies of new enterprises. The simulation framework is implemented on the basis of industrial automation methods and can be configured for the synthesis of embedded fabricate systems of different types. Structural options for simulation frameworks are proposed. The automation components are distributed within the simulation frameworks depending on the embedded fabricate systems life cycle. The use of simulation frameworks allows to achieve improved performance characteristics of embedded fabricate systems.
Interaction of models and methods of providing QoS in networks
Authors: Zhigalov K , Skorikova N A , Daudov I M
Published: July 2020

The article shows how constructive blocks interact to ensure the quality of services (QoS) and how they are used to create QoS quality methods. For this, we consider three standardized methods: the method of integrated services (IntServ), the method of differentiated services (DiffServ) The article may be useful both for learning how to use the system and for choosing the technology you need to use.
Estimation of ANN prediction bounds for the suspended sediment load modeling
Authors: Nourani V , Sharghi E , Paknezhad N J
Published: July 2020

In this paper, the point prediction of the Artificial Neural Network (ANN) for the suspended sediment load modeling was evaluated for the Lighvanchai River located in Iran, in monthly and daily scales. Since point prediction of ANN convey no information about the accuracy of prediction, so prediction intervals (PIs) were constructed by the Bootstrap method as a most frequently used technique for assessing the uncertainty of ANN. In this way, the accuracy of PIs was quantified by coverage and width criteria. The results showed that the ANN-based modeling in daily scale had better performance compared to that in monthly scale and Nash Sutcliff efficiency was 32% higher in daily scale compared to monthly. Moreover, the width and coverage of the constructed PIs in daily scale were 14% and 24%, lower and higher compared to that in monthly scale and the Bootstrap method could appropriately capture the target values.
Improved pond productivity through integrated cultivation of red tilapia (Oreochromis niloticus), tiger shrimp (Penaeus monodon) and seaweed (Gracilaria verrucosa) in Maros, South Sulawesi, Indonesia
Authors: Pantjara B , Sarijanah A , Hermawan M
Published: July 2020

Marginal land use for brackish water aquaculture has not been fully used optimally, due to various problems, especially low pond productivity caused by degradation of water and soil quality. One effort to increase pond productivity for aquaculture is integrated cultivation (polyculture) with various fisheries commodities. The purpose of this research was to increase the productivity of ponds through polyculture of red tilapia, tiger shrimp, and seaweed. Twelve earthern ponds were used for this study, each pond of 2,500 m2 The nos polyculture systems employed in this study were A) red tilapia (1 no/m2), tiger shrimp (2 nos/m2) and seaweed (0,15 kg/m2); B) Tiger shrimp (4 nos/m2) and seaweed (0,15 kg/m2); C) red tilapia (1 no/m2) and tiger shrimp (2 nos/m2), and D) red tilapia (2 nos/m2) and seaweed (0,15 kg/m2). The results showed that the highest survival rate of red tilapia was recorded in D (87.3±3.15%) and the lowest in A (78.5±1.75%). Meanwhile, the highest tiger shrimp survival rate was achieved in B (72,2±6,53%) followed by A (64.0±3,02%) and C (62,6±3.15 %).The highest production of red tilapia was recorded in D (716.7 kg/2,500 m2), while the highest production of tiger shrimp was in B (100,04 kg/2,500 m2). The feed conversion ratio (FCR) in the red tilapia was the highest in D (1.19), followed by C and A (1.15 and 1.03), while the FCR for tiger shrimp in all the treatments was less than 1. Economic analysis showed that the highest profit per cycle was obtained in D.
Post puerulus of scalloped spiny lobster, Panulirus homarus (Linnaeus 1758) rearing in floating net cage with different artificial diet
Authors: Slamet B , Rusdi I , Giri A , Haryanti
Published: July 2020

Scalloped spiny lobster (Panulirus homarus) is an export commodity and high economic value in Asian-Pacific markets. The purpose of this study was to determine the best artificial feed for scalloped spiny lobster nursery in floating net cage. The nursery was conducted using 9 floating net cage 1 × 1 × 1 m in size with three treatments and 3 replicates. Three different artificial diets were used as treatments, i.e.: A, commercial pellet for grouper, with higher protein level (53.56%) but lower stability, less durable in water and will break within 3-4 hours after administration; B, commercial pellet for shrimp, with lower protein level (33.07%) but higher stability, will break within 10-12 hours after administration and C: pellet formula IMRAD Gondol, with middle protein level (46.51%) and higher stability, will break within 10-12 hours after administration.The post puerulus with total length 2.1±0.18 cm and body weight 0.28±0.04 g was reared at density of 100 ind/cage. A complete random design was used as an experiment design and analyzed by ANOVA. Feeding were given twice a day, 5% of biomass/day. The study was conducted for 4 months. The sampling of survival rate, total length and body weight were conducted every month and total haemocyte on the end of experimentwas measured. The result showed that there was significant different (P<0.05) for survival rate, but not significant different (P>0.05) among treatments for growth of total length and body weight. The best survival rate was on treatment C (39.0%), followed by treatment A (29.7%): and treatment B (16.7%). The number of haemocyte was almost the same between treatments with total haemocyte 250-285 x 104 per ml. From these results it can be concluded that pellet formula IMRAD Gondol can be used for rearing of scallop spiny lobster post puerulus.
Vertebral ossification, growth, and survival of nilem carp, Osteochilus hasselti larvae using shell flour of local mussel, Pilsbryocancha exilis
Authors: Setiadi E , Rahayu S Y S , Hermawan M , Taufik I , Ardi I
Published: July 2020

Nilem carp is one of the local freshwater fish species in Indonesia that has an economical value. The present study was to determine the optimal of water hardness level on the vertebral ossification, growth, and survival of nilem carp larvae. The four treatments of hardness level with 3 replicates applied using A) 80 mg/L (control), B) 100 mg/L, C) 120 mg/L, and D) 140 mg/L on one day old. Larvae were reared in the fiber tanks with the density of 40 larvae/L fed with artemia and artificial diet. The parameters observed were the vertebrae ossification, absolute length, absolute weight, and survival. The result showed that the best vertebrae ossification, absolute length, absolute weight, and survival was found at water hardness with concentration of 120 mg/L compared to the others treatments (P<0.05) under optimal range of temperature, pH, and dissolved oxygen during the rearing period. The use of shell flour of local mussel (P. exilis) in the rearing water media is very important to support vertebrae ossification, growth, and survival of nilem carp larvae.
Investigating the effects of urban input on the abundance and diversity of potential bio-floc forming bacteria in the River Murray, South Australia
Authors: Kurniawan K , Wheeler R , Dann L M , Mitchell J G
Published: July 2020

Identifying members of the aquatic microbial community and their biotic and abiotic interactions are the first step in developing inocula for bio-floc starters used as aquaculture fish-feed. This research aims to identify whether a freshwater river with urban input can be used as a source of potential bio-floc forming bacteria. To identify the bacteria, 16S rDNA sequencing was performed, to determine the taxonomy and flow cytometry was employed to enumerate bacterial abundance. To resolve the complex interactions among microbes, microbial interaction networks were produced at the family level. Actinobacteria was found to be the most abundant bacterial phylum followed by Proteobacteria, Acidobacteria, and Chloroflexi that suggested the river was in health condition. Microbial interaction networks revealed nutrients, particularly nitrate, nitrite, ammonia, and silica, are crucial in maintaining network interactions, suggesting that urban nutrient input likely shapes the riverine microbial community. The families Actinomycetales F-ACK-M1, Rickettsiaceae, Betaproteobacteria O- SBla14 and Anaerolineae O-GCA004 demonstrated greatest network centrality, each interacting with seven first-neighbor taxa, suggesting an importance in community structure. Acetobacteraceae and Chloroflexi F-Dolo23 also exhibited network centrality and were directly linked to nitrate and nitrite, suggesting they play key roles in nitrogen cycling. Propionibacterium (44.82%) was the most dominant genera found in the Murray River followed by Anaerococcus (2.94%), and Finegoldia (2.05%). Comparison of the bacterial community comprising bio-floc and those found in the River Murray revealed that seven bacterial phyla including Proteobacteria, Bacteriodetes, Cyanobacteria, Actinobacteria, Planctomycetes, Verrumibrobia, and Chloroflexi common to bio-floc contributed to 95.8% total relative abundance in the river. However, based on genera level, there were14 bacteria genera in the river that generally present in bio-floc forming bacteria identified across all river samples constituted 4.63%. The potential bio-floc forming bacteria found mainly in downstream of the river provided various functions in the bio-floc system including producing natural flocculants to form microorganisms aggregates, a source of potential probiotics and prebiotics, nitrite oxidation and denitrification process, and degradation of organic matters.
Application of Artificial Neural Networks to forecast Litopenaeus vannamei and Penaeus monodon harvests in Indramayu Regency, Indonesia
Authors: Pamungkas A , Zulkarnain R , Adiyana K , Waryanto  , Nugroho H , Saragih A S
Published: July 2020

Besides minimizing environmental impact, one of the goals of ecological intensification for aquaculture is production. Production forecasting is needed to make policies in planning, especially in terms of meeting consumer demand. This paper introduces a method to forecast the total shrimp production for Litopenaeus vannamei and Penaeus Monodon in Indramayu Regency using artificial neural networks. In this case, we used backpropagation neural networks (BPNN). BPNN is a supervised learning algorithm and usually used by perceptron with many layers to change the weights associated with the neurons in the hidden layers. During the training process, the network calculated the output that will be generated based on the given input patterns. The network assigned and adjusted the weights of the input and also the hidden layer to obtain a network with good performance. Networks with small error values close to zero indicate good performance. The criteria used to test the performance of the artificial neural networks method are the root mean squared error (RMSE), the mean absolute percentage error (MAPE), and the correlation coefficient (r). Production data obtained from the relevant government agencies were used to train the algorithms as a part of an artificial intelligence process. This artificial intelligence forecasted the shrimp’s harvest. Forecasting performance is indicated by the accuracy of the prediction process data compared to the real data. The best result for L. vannamei forecasting was obtained in the trainGD with MSE 0.0174 and MAPE 19.28%. The best results P. monodon forecasting were obtained in the TrainRP with MSE 0.0200 and MAPE 22.99%.
Parasitic and bacterial diseases in aquarium-reared Indonesian snakehead (Channa micropeltes)
Authors: Novita H , Andriyanto S , Sugiani D , Lusiastuti A M , Caruso D
Published: July 2020

Toman or Channa micropeltes has high economic potential to be cultured because of their high albumin content. This study aims to obtain information about what kinds of pathogens can infect toman fish in high-density stress (10, 20,30 fish with an average weight of 3 - 15 g and length of 8-14 cm in 20-liter aquarium) and temperatures between 26-34°C that were treated with artificial infections of Aeromonas hydrophila. The results showed that stress treatments with high density and temperature did not cause significant death in toman, or C. micropeltes. The bacteria that can be isolated from toman fish were Aeromonas sp., Moraxella lacunata, Vibrio vulfinicus, and Brevundimonas vesicularis. The parasites found in toman were Trichodina sp. (Prevalence (P) = 25%, Intensity (I) = 1), Gyrodactylus sp. (P= 35%, I= 1.4), Myxosporea sp. (P= 25%, I= 1.2), and Oodinium sp. (P= 20%, I= 7.5), which infected gills, mucus, gut, and skin. Being treated with artificial infection of A. hydrophila, toman fish were very susceptible and 100% death occurred after 24 hours of treatment. The treatment of predisposition factors in toman fish, which can prove adaptation and survival from stress conditions and the presence of the pathogen, will have an impact on the aquaculture development of toman fish so that health management will be applied in aquaculture.
The performance of tilapia culture in biofloc technology (BFT) and floating net cage (KJA) systems as a candidate for the next tilapia culture in Indonesia
Authors: Nugroho E , Khakim A , Dewi R R S P S
Published: July 2020

The waste from Tilapia culture in Floating Net Cage (KJA) is suspected to be a cause of pollution in the reservoir. One alternative replacement is biofloc technology which has water efficiently and environmentally friendly. A field study on tilapia aquaculture has been carried out with a biofloc and KJA system to determine its productivity performance. The fingerling size of tilapia 10-20 g were maintained for 90 days with stocking densities of 6-80 individual/m3. Then, 30 fish were carried out for biofloc technology and 27 fish were carried out for KJA. The biofloc technology experiment was carried out in circular ponds with volume sizes of 10 and 20 m3 using probiotic bacteria. While in KJA system, the size of net cage were 172, 368, and 1800 m3. Fish were fed with commercial pellets of 5-10% biomass weights per day. The performance of biofloc technology experiment for tilapia culture were 14.81 ± 3.79 kg/m3 (productivity), 72.94 ± 8.17% (survival), 80.66 ± 11.92% (feed efficiency), 3.20 ± 0.63 g/day (ADG), and 16.353 ± 1.017 IDR/kg (production cost). While the performance of KJA technology experiment for tilapia culture were 1.72 ± 0.67 kg/m3 (productivity), 61.94 ± 12.78% (survival), 73.90 ± 7.62% (feed efficiency), 2.32 ± 0.40 g/day (ADG), and 16.168 ± 1.283 IDR/kg (production cost).
Application of environmental probiotic on rearing snakehead fish (Channa striata)
Authors: Widiyati A , Yosmaniar  , Saputra A , Prihadi T H
Published: July 2020

This study aims to evaluate the application of environmental probiotic on production performance (survival rate, absolute weight and length, biomass weight and specific growth rate and blood condition level in snakehead fish (Channa striatus) rearing. The research was conducted at the Cibalagung Environmental Research and Toxicology Installation, Bogor, Indonesia. The experiment was conducted in a completely randomized design with three treatments, including RIFA probiotic, commercial probiotic, and without probiotic application repeated three times each experiment. Fish (weight: 6.5-6.9 ± 0.04 g) were reared in 300 L tanks with density of about 30 fish/tank. Fish were fed with commercial feed (31% protein content) about 5% biomass per day. The parameters observed were production performance, hematology, and water quality. All data were analyzed using ANOVA and continued by the Duncan test. Water quality parameters were analyzed descriptively. The results showed that RIFA probiotic treated on snakehead fish produced the best production performance compared to commercial probiotic and without probiotic applications. These results were supported by much better water quality parameters and hematology performance of the fish.
Photophysiology response of non-calcifying microalgae Chaetoceros sp. on increasing anthropogenic carbon dioxide and temperature
Authors: Sahabuddin S , Jompa J , Rukminasari N
Published: July 2020

Increased use of fossil fuels, land use change, and deforestation, causing an increase in carbon emissions in the atmosphere, is estimated to 4.1 ± 0.1 GtC year−1, it lowers the pH in the oceans, causing ocean acidification which affects the productivity of calcifying and non- calcifying phytoplankton. The study was conducted to analyze the photophysiology response of non-calcifying microalgae Chaetoceros sp on increasing anthropogenic carbon dioxide and temperature. There were 3 levels of CO2 concentration, and temperature was tested (385 ppm, 750 ppm, 1000 ppm CO2 and temperature of 30°C, 32°C and 34°C) with the factorial pattern. The results showed that increasing CO2 concentration affected the growth of daily population, peak population, the rate of cell growth, and chlorophyll content of Chaetoceros sp. The highest population growth and chlorophyll content occurred at 385 ppm CO2 and 32°C, population decreased with increasing CO2 concentration and temperature. Increasing carbon dioxide and temperature significantly affected on decrease of Chaetoceros sp productivity.
Global rainstorm multi-attribute variation and its multiscale correlation with ENSO
Authors: Kong Feng
Published: July 2020

This research uses a variety of statistical methods to diagnose the multi-attribute time series characteristics of global rainstorms and its response to ENSO from the perspective of land-ocean differentiation. The results showed that: (1) The global, global land and global ocean rainstorm and their contribution rates showed an increasing trend from 1979 to 2016. While, the global, global land and global ocean total rainfall showed an decreasing trend. The global land total rainfall showed a distinct sectional change pattern, which first increased from 1979 to 2006 and then decreased from 2007 to 2016. The comparison between the rainstorm and the total rainfall in global land and ocean showed that the rainstorm tended to increase in both ocean and land regions from 1979 to 2016, while the weak intensity rainfall tends to decrease in the globe. (2) The global land and ocean rainstorm and total rainfall did not change consistently on multiple time scales from 1979 to 2016, but showed inverse phase or forward and lag phase correlation. Fourthly, compared with ENSO, global land (ocean) rainstorm changed earlier (lag) in high energy spectral region. Compared with ENSO changes in low energy spectral region, global land rainstorm changes were consistent or ahead of time, while global ocean rainstorm changes were mainly ahead of time compared with ENSO changes.
MXene-PVA thin film for efficient all-optical modulator and all-optical signal processing with high performances
Authors: Wang Cong , Wang Yunzheng , Huang Weichun , Hu Lanping , Tang Yanfeng , Liu Jie , Fu Songnian , Wang Bing
Published: July 2020

All-optical modulation has been regarded as an effective method to solve the electrical bandwidth bottleneck problems existing in the current telecommunication network. By taking advantage of high photothermal conversion of two-dimensional (2D) MXene, a high-performance all-optical modulator is demonstrated. The polarization-dependent all-optical modulator exhibits a broadband intensity modulation behavior with a modulation depth of 15 dB. The response time of such all-optical modulator is approximately ten times than that of fiber-type MZI/MI-assisted all-optical modulator based on the thermal-optic effect. Besides, an all-optical information loading with a bit rate of 400 bit s−1 is successfully achieved. Therefore, it is anticipated that the all-optical modulator with the advanced optical structures and excellent 2D materials has extraordinary potentials for future optical information processing.
Developing a photonic hardware platform for brain-inspired computing based on 5 × 5 VCSEL arrays
Authors: Heuser T , Pflüger M , Fischer I , Lott J A , Brunner D , Reitzenstein S
Published: July 2020

Brain-inspired computing concepts like artificial neural networks have become promising alternatives to classical von Neumann computer architectures. Photonic neural networks target the realizations of neurons, network connections and potentially learning in photonic substrates. Here, we report the development of a nanophotonic hardware platform of fast and energy-efficient photonic neurons via arrays of high-quality vertical cavity surface emitting lasers (VCSELs). The developed 5 × 5 VCSEL arrays provide high optical injection locking efficiency through homogeneous fabrication combined with individual control over the laser wavelengths. Injection locking is crucial for the reliable processing of information in VCSEL-based photonic neurons, and we demonstrate the suitability of the VCSEL arrays by injection locking measurements and current-induced spectral fine-tuning. We find that our investigated array can readily be tuned to the required spectral homogeneity, and as such show that VCSEL arrays based on our technology can act as highly energy efficient and ultra-fast photonic neurons for next generation photonic neural networks. Combined with fully parallel photonic networks our substrates are promising for ultra-fast operation reaching 10 s of GHz bandwidths, and we show that a single non-linear transformation based on our lasers will consume only about 100 fJ per VCSEL, which is highly competitive, compared to other platforms.
Solvothermal synthesis of C doped Co-Cu/TiO2 based nanocomposite to study their photocatalytic activity
Authors: Kumar Pardeep , Singh Virender , Kumar Suresh , Chauhan Nikhil , Saharan Baljeet Singh
Published: July 2020

The solvothermal approach is applied to produce doped titanium dioxide nanoparticles in the mesoporous form using Pluronic F127 as a delicate mold. The formulated samples are investigated successfully via x-ray diffraction, ultraviolet-visible spectroscopy, photoluminescence spectroscopy, scanning electron microscope, energy dispersive x-ray, transmission electron microscope, nitrogen adsorption-desorption analysis, and Fourier-transform infrared spectroscopy. Analysis of XRD, SEM, and TEM demonstrates the existence of a nanocrystalline size range of the particles. Methylene blue, congo red, and malachite green dyes are used to evaluate the photocatalytic competence of the samples. The results verified that the TiO2 including a peak quantity of copper (4%) shows maximum photocatalysis caused by the declined bandgap energy including effective charge separation of photoinduced charge carrier with a maximum surface area as revealed by ultraviolet-visible, photoluminescence spectroscopy & nitrogen adsorption-desorption analysis respectively.