bluuebunny/crossref_metadata_2025 huggingface dataset:
Growth and Reproduction of Trichoderma sp. in with presence Bacillus sp. or Fluorescent Pseudomonad
Authors: Pawana Gita , Badami Kaswan , Djunaedy and Achmad
Published: May 2021

The application of biological agents can be done singly or in combination to increase its effectiveness. Trichoderma sp. fungi, Bacillus sp. and fluorescent psudomonads bacteria has been widely used as a biological control agent for plant pathogens. The purpose of this study was to determine the growth and reproduction of Trichoderma sp. in the presence of Bacillus sp., or fluorescent psudomonads. The research was carried out in vitro by dual and double layer culture method. The variables observed were the inhibition zone, the total and, viability of conidia of Trichoderma sp. The data obtained were compared using the two free sample T test and analysis of variance was continued with Duncan’s multiple range test. Based on the results of this study concluded that the growth and reproduction of Trichoderma sp inhibited by the presence of Bacillus sp. or fluorescent psudomonads, but does not reduce the viability of conidia. This shows that in Trichoderma sp. with Bacillus sp. or fluorescent psudomonads can be applied simultaneously.
The Effect of Ratio Zeolite and TiO2 Toward the Particle Size of Zeolite/TiO2 Composites
Authors: Putri S E , Side S
Published: May 2021

The study aimed to determine the effect of ratio zeolite and TiO2 toward the particle size of zeolite/TiO2 composites. The raw material used was natural zeolite of South Sulawesi. Zeolite acts as a support catalyst of TiO2 synthesized using impregnation method. The ratio of zeolite:TiO2 (w/w) was 3:1; 3:1.5; 3:2; 3:2.5 and 3:3 mixed with ethanol, then calcined at 500 oC for 5 hours. The powder of zeolite/TiO2 composites characterized by X-Ray Diffraction (XRD) and calculated the particle size using Debye Scherer equation. The results showed that the zeolite phase contained in zeolite/TiO2 composite is modernite and TiO2 catalyst phase is anatase with a tetragonal structure. The average particle size of composites increased with the increasing amount of catalyst impregnated. The smallest average size occur at zeolite:TiO2 of 3:1with 42.86 nm and the largest average size occur at 3:3 with 52.98 nm.
Toxicity Test of Mathanol Fraction of Mentawan (Poikilospermum suaveolens Blume Merr) Stem Which Has Potential as Anticancer
Authors: Salempa P , Pratiwi D E , Ramdani
Published: May 2021

Mentawan plant (Poikilospermum suaveolens Blume Merr) is a species of the genus poikilospermum, including the urticaceae family, which is traditionally used by the community for medicine. This plant has the ability to treat eye diseases, fever, malaria and itching and has the potential as an anticancer. This research method includes extraction, fractionation, and fraction bioactivity test with the brine shrimp lethality test (BSLT) against Artemia salina. From the results of the toxicity test using the BSLT method, the activity of methanol fractions with LC50 values were 4,8752; 62,8492; 85,5460; 45,7088; 28,1838; 11,985; 33.2123 µg / mL. Based on the LC50 value, it could be concluded that mentawan plant has potential as anticancer.
Pharmacological activity of compounds isolated from methanolic extract marine sponge xestospongia sp. against escherichia coli and staphylococcus aureus
Authors: Fristiohady A , Wahyuni  , Sadarun B , Bafadal M , Andriani R , Purnama L O M J , Malik F , Ilyas M , Malaka M H , Sahidin I
Published: May 2021

Few previous studies show pharmacological potencies of Xestospongia sp. and have not been explored further about its antibacterial activity. Thus, this study aims to isolate and identify the isolates from Xestospongia sp. and testing their antibacterial activity. Xestospongia Sp. was macerated with methanol then isolated and was purified by using vacuum liquid chromatography (VLC), radial chromatography (RC) and thin-layer chromatography (TLC). Isolated compounds then analyzed, identified, and determined their structures using 1H-NMR Spectrophotometer and by comparising data to references and ChemDraw 8.0. Compounds obtained with various concentrations (1000; 500; 100 μg/mL) then tested against Staphylococcus aureus ATCC 25923 and Escherichia coli ATCC 35218 using agar well-diffuse method. According to the study, two compounds isolated which were Saringosterol (isolate X1) and predicted-compound halenaquinone (isolate X2). The antibacterial test showed that isolate X1 was unable to inhibit bacteria‘s’ growth at each concentration, and isolate X2 showed antibacterial activity against S. aureus ATCC 25923 and E. coli ATCC 35218 at concentration 1000 and 500 μg/mL. In conclusion, 2 compounds successfully isolated from methanolic extract of Xestospongia sp. which were Saringosterol and predicted-compound halenaquninone, and only predicted-compound halenaquinone showed antibacterial activity at concentration 1000 and 500 μg/mL.
Implementation of the Simple Multi Attribute Ranking Technique Method as a Model for Decision Making in Determining the Talents and Interests of Children in Continuing Education
Authors: Lintang M , Pandiangan N , Zubaedah R
Published: May 2021

Talent and interest are very influential on students in the process of their development and learning. This is because every child needs an education program that matches their talents and interests. Many problems occur due to mistakes of parents or teachers in determining talent and asking students so mistakes in determining education still tend to be incorrect. So students find it difficult to adapt to the education they face because it is not in accordance with their abilities and potential. Therefore, we need a modeling of decision making based on the criteria of talent and interests of children using the Simple Multi Attribute Ranking Technique modeling. The implementation of the SMART method in this study is able to provide solutions to the problem of decision making talents and interests of children. This study uses a sample of 15 student data which is then entered into the computation of the SMART calculation method. The result is that 3 students who were sampled were able to have grades above the standard or scores above 70 points that have been set based on predetermined rules. While the other 12 students have the final result below the standard that has been set which is below the value of 70 points.
Office Interior Design Concept based on the Development of Communication and Information Technology at PT Indonesian Post (Persero) Makassar
Authors: Octamaya Tenri Awaru A. , Niswaty Risma , Maida Andi Nur , Torro Supriadi
Published: May 2021

The bureaucratic reform policy requires office activities to run effectively and efficiently. This has implications for the transformation from conventional systems to automation systems. The interior arrangement of an office is no longer just the placement of tables and chairs, but requires several important considerations such as the situation and workplace of the employees as well as the necessary technology support. This article aims to provide information on nine objectivity values that can be considered in determining the choice of place and working methods that will be applied before creating an office interior layout. The expected results can help interior designers to be able to determine the space program that suits the types of activities and activities in the office to be designed. In addition, it is hoped that the office designer and manager will have the same goal agenda for designing the office. The results showed that nine objectivity values and six topics of discussion regarding location, users, layout, appearance, archive space, and concept standardization can be supporting points in making an efficient office because it is tailored to the needs of those who work in the office.
E-Participation against COVID-19: Case of KawalCOVID-19.id
Authors: Yusuf M , Muntasa A , Anamisa D R , Kustiyahningsih Y , Wiyono D S
Published: May 2021

COVID-19 pandemic is the massive COVID-19 virus spread around the world. Indonesia’s government official website of COVID-19 at covid19.go.id shows there are 205 countries, 900,306 positive cases, and 45,693 people around the world who died because of COVID-19. Additionally, there are 1986 people confirmed positive COVID-19, 134 people get well, and 181 people died in Indonesia. This data is taken from the website when this article is written. The data seems very dynamic in the next periods. Therefore, this pandemic is an extraordinary phenomenon and has an impact globally. When this paper is written, the epidemic is still happening. Different countries have various strategies and actions against this COVID-19. There is limited research to capture e-Participation related to COVID-19. This paper aims to describe the role of technology against COVID-19 in Indonesia. Hopefully, this paper contributes a lesson learned of kawalcovid19.id in Indonesia case, and this could be employed for similar cases in other countries. This study has identified four main components in a model of e-Participation against COVID-19 as follows: team, technologies, COVID-19, and people. The e-Participation technologies are tools for participants to supply and verify information, educate people, and people to interact, give comments and feedback to each other.
Architecture Model Optimization of Cyclical Order Algorithm with Binary Sigmoid and Linear Function for Prediction
Authors: Afriliansyah T , Zulfahmi Z
Published: May 2021

This research is a development of previous research to predict the life expectancy of people in Aceh province. The purpose of this study is to determine a model that is better and more optimal than previous studies that have been conducted with the 8-9-1 model, with a prediction accuracy rate of 91% using the ANN Cyclical Order Algorithm. Meanwhile, the current research will use the same algorithm, the same data, but the analysis process will use the activation process and different models. The results of this study are in the form of a better model that can be used to predict the life expectancy of people in Aceh province with an accuracy rate of 100%. The architectural model is 8-3-1. Also, this model produces a lower MSE level, namely 0.0008332545 compared to the previous 8-9-1 model of 0.0010800577. As is well known, the smaller the MSE value, the better.
Mathematical Modeling of APKA on Dynamics Unemployment Rate in Makassar City
Authors: Ansar A , Syam R , Sidjara S , Side S
Published: May 2021

This research explain about mathematical modeling APKA type on dynamics unemployment rate in makassar city. The aim of this research is how to to analyze and simulate the model to predict the enemployment rare in makassar city which composed is two cases, the first is case of the unemployment free rate and the second is case increase unemployment rate. The type of the research is an applied research which of aims to solve the problem with compiling consept as needed. The data used are secondary data form Badan Pusat Statistik (BPS) in makassar city, by using basic reproduction number (R
0) to determine the dynamics unmemployment rate in makassar city. If R
0 ≤ 1 then the condition of the number of unemployment population is not worrying, but R
0 > 1 decribes the condition increasing the number of unemployment population which need to be followed up by goverment of makassar city. The simulation result found R
0 = 0,8445 ≤ 1, that means, the number of unemployment population is not worrying and the other simulation found R
0 = 1,8718 > 1, that means, the number of unemployment population is worrying in Makassar city. The result also shown that if the number of individual not in the worksforce is hinger then the number of unemployed will be hinger.
K-Means Algorithm for Clustering Third-party Funds of Conventional Banking
Authors: Ningsih S , Syahputra D
Published: May 2021

Banking business activities in Indonesia are very important for Indonesia’s economic growth, one of which is by growing the investment sector through obtaining funds from the general public via third party funds. In this study, the third party funds discussed were third party funds from conventional banking. The purpose of this study is to group the Third party funds of Conventional Banking to obtain information on the development of Indonesia’s economic growth, especially in conventional banking using the K-means. Research data in the form of conventional banking third party funds were obtained from the Financial Services Authority. The data are divided into 2 clusters: C1 (high) and C2 (low). Results show that 5 years have a low cluster (C1) and 6 years have a high cluster (C2). The findings of the analysis come in the form of information on the grouping of national banking third party funds to provide input to the Government of Indonesia, the Financial Services Authority, and Bank Indonesia in making policies on national banking.
Dynamical spatial model of heavy metals in Kendari bay using Bayesian geographical weighted regression
Authors: Mukhsar  , Armid Alrum , Fahmiati  , Shinjo Ryuichi , Rustan Dewi Rukmayanti , Usman Ida , Ahmad Sitti Wirdhana
Published: May 2021

Kendari Bay has been designated as an ecotourism area and as the main route for local trading in Kendari City, Province of Southeast Sulawesi, Indonesia. An earlier study conducted by Armid et al [2] found that water quality in Kendari Bay has been polluted by heavy metals from household and factory wastes. Such metalsare spatially distributed throughout Kendari Bay area, but the main source of contributors to pollutants has not yet been identified clearly. A study on the distribution of heavy metals in the aquatic system of Kendari Bay is imperative to determine the source and status of pollution. This study aims for analyzing the main source of the largest pollutant contributors in Kendari Bay in order to maintain the water quality in this bay. The model for analyzing spatial effect is geographical weighted regression (GWR), and Bayesian Markov Chain Monte Carlo (MCMC) is used to estimate GWR parameters. The data of this study originated from 32 sampling sites spread across the Kendari Bay area, referring to a previous study by Armid et al [2]. Based on these data, numerical simulation results were obtained with prior r = 35 and δ = 10 which produced the best BGWR model with the highest R
2 value of 86.75% and the lowest MSE value of 0.02290; suggesting that 86.75% of the pollutants are caused by heavy metals Pb, Cd, and Cr, while 13.25% is caused by other factors. There are two sampling sites that have significant effects on the number of pollutants in Kendari Bay, both site 3 (downstream of the Wanggu River) and site 29 (Port area).
Modelling the number of family planning participants in Southeast Sulawesi using geographically weighted regression model
Authors: Mukhsar  , Asnidar  , Abapihi Bahriddin , Agusrawati  , Laome Lilis , Ahmad Sitti Wirdhana
Published: May 2021

The number of family planning participants in Southeast Sulawesi are influenced by spatial factor, for example geographically, socio culturally, and others. Geographically Weighted Regression (GWR) method is needed. Parameter estimates are only for each location and are different from other locations. The number of fertile age couples (X1) is significant in the regions of Buton, Muna, Konawe, Konawe Selatan, Wakatobi, Buton Utara, Konawe Utara, KonaweKepulauan, Kolaka Utara, Muna Barat, Buton Tengah, Buton Selatan, Kendariand Bau-Bau. The number of childbearing age couples (X1) and number of counselling officer (X2) is significant in the regions of Kolaka, BombanaandKolakaTimur.
SARIMA model for compiling the planting calendar
Authors: Yahya Irma , Mukhsar  , Agusrawati  , Laome Lilis , Tenriawaru Andi , Usman Ida , Ahmad Sitti Wirdhana
Published: May 2021

Rainfall patterns uncertainty in Southeast Sulawesi-Indonesia is causing many paddy crop failures. There needs to be an adjustment when the appropriate farming time. One of the adaptation efforts in dealing with the influence of climate shift is to establish a planting calendar. Paddy planting calendar is to determine the success of the harvest. The SARIMA model (0,0,0)(0,1,3)12 is the best model for predicting rainfall data. Prediction results show that the highest rainfall occurs in January-July and November-December. Planting time can be done in January-July and November-December by avoiding August, September, and October.
Connection of CTMC process, deterministic and stochastic differential equations in modeling of epidemics
Authors: Sani Asrul , Mukhsar  , Abapihi Bahriddin
Published: May 2021

Mathematical modeling has been used in many fields of study including in epidemiology. The main objective of this study is to show the connection of three mathematical models often used to study the dynamics of disease spread in the natural world; i.e., a stochastic process (CTMC), deterministic model (ODEs) and stochastic differential equation (SDEs). We show that, by proper scaling technique, it is possible to derive the deterministic analogue of a CTMC. Its stochastic differential equation (SDE) version can be obtained by adding a white noise or Weinner process in the deterministic model with proper means and covariance. We demonstrate all three models with the dynamics of SIR epidemics followed by several numerical experiments to show how accurate the trajectories of ODEs follow the sample paths of both CTMC and SDEs.
Statistical analysis on the effect of exchange rate on stock price in Indonesia: an application of ARDL and IGARCH models
Authors: Adam P , Cahyono E , Mukhsar  , Millia H , Abapihi B , Mukhtar N , Ome Lilis La
Published: May 2021

This study aimed to examine the influence of the IDR/USD exchange rate on stock prices in Indonesia. The data used were the IDR/USD exchange rate and the monthly composite price index that spanned from January 2004 to October 2017. To test the effect of the IDR/USD exchange rate on stock prices, the distributed lag (ARDL) autoregressive model and integrated general autoregressive conditional heteroskedasticity (IGARCH) were used. The result of analysis showed that there was influence of IDR/USD rate to stock prices either in short term and in long term. In the long term, every 1% decrease in the exchange rate of IDR/USD, the change in stock price rise.
Predicting Construction Cost Using Regression Techniques For Residential Building
Authors: Prasetyono Puguh Novi , Mas Suryanto HS , Dani Hasan
Published: May 2021

Building prices fluctuate greatly each year. Price fluctuations can be on the prices of building materials, human resources, and other cost requirements used in construction. This fluctuation makes it difficult to estimate how much it will cost to build a house in the next year. There are several studies that have discussed budget plan predictions, but few estimate the planned budget for housing development, especially in Indonesia, because it is not yet known how to predict the cost of housing construction in the future, from here it is necessary to conduct research to obtain a formula in predicting development costs housing. The method is calculating the cost modeling using the regression method, the regression method used is Linear Regression. linear regression studies the linear relationship between the dependent variable Y and a single independent variable X. As a result, the formula obtained for the prediction of the cost of housing construction is y = 1,169,813.19 + (334,729,758) X where y is cost is predicted while X is what year with r2 is 0,10.
The Influence of Discovery Learning with Scientific Approach on Students’ Creative Thinking Ability
Authors: Mulbar U , Alimuddin  , Rahmadani  , Adnan  , Hasanah R
Published: May 2021

This research was a pre-experimental study with a One Group Pretest-Posttest Design. The experimental samples in this study were students of class VIII5 in SMP Negeri 29 Makassar. The purpose of this study was to determine the description of students’ creative thinking abilities if discovery learning with a scientific approach was applied in the classroom. The data in this research were obtained using a test instrument about mathematical creative thinking. The results showed that the students’ creative thinking ability in mathematics generally was at level 3, namely creative. While for fluent and flexible indicators, respectively were at level 2 which was quite creative and level 3 which was creative. It showed an increase in students’ creative thinking abilities if discovery learning with a scientific approach was applied.
Developing Students’ Creativity in Building City Mathematics through Project Based Learning
Authors: Djam’an N , Bernard  , Sahid
Published: May 2021

The major objective of this study was to develop, implement, and evaluate the use of the Project Based Learning model in improving students’ creativity in building their own city using mathematics (geometry, area, and volume). This study used mixed methods to collect, describe, and interpret the data. The data were collected through focus group discussion, classroom observations, project, and the lecturer’s research journal. The participants in this study consisted of 34 students enrolled in the School Mathematics 2 course during term 1, 2020. In this project, students went through several steps including designing, measuring, calculating, cutting, color, and using math problem-solving skills to construct their own city. This study analyzed the creativity displayed by student participants while performing the project result. The students’ group project met all components of the creative dimension (novelty, resolution, and elaboration). Particularly, the results of the study concluded that the model could improve the creativity of students in building a city through mathematics concepts.
The Effect of Quipper School Assisted Blended Learning (QSBL) on Student Motivation and Interest in Learning
Authors: El Iq Bali Muhammad Mushfi , Zamroni  , Umar  , Musthofa Bisri , Sulistiani Ika Ratih , Dewi Mutiara Sari , Baharun Hasan , Abdullah Dahlan
Published: May 2021

This study aims to: 1) find out the differences in motivation and interest in learning before and after QSBL; 2) knowing the difference in learning motivation who applied and did not apply QSBL; and 3) knowing the differences in learning interest who applied and did not apply QSBL. This research subject of Class IX students at SMP Darul Lughah Walkaromah Kraksaan Probolinggo. This study uses a quasi experimental design quantitative research design with a pretest-posttest controlled group design model. Learning in the control class uses conventional models while the experimental class applies QSBL model. The results of the study showed that: 1) there were differences in motivation and learning interest before and after applying QSBL with an increase in the significance value of 4.93 to 5.04 in the control class, while the experimental class a total of 12.32 to 15.38; 2) there are differences in learning motivation who apply and do not apply QSBL with a significance value of 0.039 (p<0.05); and 3) there are differences in the learning interest who apply and do not apply QSBL with a significance value of 0.035 (p<0.05).
The Effect of Learning model on Integrated Virtual Reality to Reduce Misconceptions of Geography Concept in Geography Students
Authors: Maddatuang  , Yusuf M , Nasiah  , Safitri R
Published: May 2021

The preliminary study found that students of the Department of Geography, FMIPA, UNM experienced many misconceptions about material concept of geography. Therefore, a research was carried out that aims to describe the reduction of misconceptions in the material after the implementation of E-Learning model to integrated Virtual Reality. This type of research is a quantitative descriptive study with the design ‘One Group Pretest-Postest Design”. The research subject were students of the Geography education ICP (International Class Program) in even Semester of the 2019/2020 academic year, each class totaling 32 students. Data were collected through observation, giving pretest questions before treatment and giving postest questions after treatment. From the data that has been obtained then analyzed using tabulation CRI values to describe the profile of misconceptions that occur in students and analyze the n-gain value to determine the decrease in student misconceptions on the material. From the research results, it can be concluded that the reduction of misconceptions in the material after the implementation of the E-Learning model to integrated Virtual Reality can consistently: reduce student misconceptions.
Using Augmented Reality Media in Three-Dimensional Geometric Shape Material
Authors: Mulbar U , Alimuddin  , Rahmadani  , Adhar
Published: May 2021

This research was a development research with a mix method approach. This study aimed to develop augmented reality learning media that was used to help students visualize three-dimensional mathematical objects. It important research because could replace the use of teaching tools that were limited in number, so they could assist teachers in learning process. This research was based on the Plomp model so that it consists of four phases as the following: (1) Preliminary assessment; (2) Designing; (3) Realization; and (4) Tests, Evaluations, and Revisions. The purpose of this study was to examine the validity, implementation, and effectiveness of augmented reality media. The results of this study revealed that augmented reality media was valid to use based on the results of expert validation, practical to use based on the observation sheet of teacher learning and response implementation, and effective to use based on learning outcome tests and student response questionnaires.
A Study of Programmable System on Chip (PSoC) Technology for Engineering Education
Authors: Adi P D P , Kitagawa A , Sihombing V , Silaen G J , Mustamu N E , Siregar V M M , Sianturi F A , Purba W
Published: May 2021

This paper obtain the introducing of Programmable System on Chip (PSoC) technology for Engineering Education, consisting of 2 types of PSoC, i.e, CyPress Semiconductor CY8CKIT-049-42xx, and PSoC 6 Bluetooth Low Energy (BLE), in this paper it focuses on learning at the level basic and introduction to these 2 types of PSoC. moreover, Learning consists of introducing the PSoC input-output with a block diagram of a typical MCU, PSoC Creator features, installation, and testing using Light Emitting Diode (LED). It is hoped that students in the engineering field can understand PSoC as one of the competing microcontrollers of the Arduino or ATmega328p, therefore, that obtains the gain knowledge about the MCU extensively.
Gamification for Learning Media: Learning Chemistry with Games Based on Smartphone
Authors: Lutfi A , Hidayah R
Published: May 2021

This research aims to determine the effectiveness of smartphone-based games as a media for learning chemistry, especially hydrocarbons. The effectiveness obtained from the activities of learners, learner questionnaire, learning outcomes, power retention of the learning outcomes of students, and motivation questionnaire. The study was conducted at a high school in East Java Indonesia with one experimental class and one control class. The results of the study showed the activities of the students 90.47%, the student questionnaire 85.5% - 98.2%, learning outcomes achieve classical mastery 86.6%, the retention power of learning outcomes in the excellent category, and the student motivation questionnaire gave a percentage of 88.89% to 93.33%. Based on the results, then the game is based smartphone effectively used as a media of learning chemistry on hydrocarbon material. The advantages gained in a game that is able to eliminate the boredom learners when studying chemistry and makes power retention of the results of learning is high.
A Comparative Study of ICT and Conventional Teaching Roles in Boat Class of Coastal Areas
Authors: Torro Supriadi , Lasunra  , Octamaya Tenri Awaru A. , Said Ahmad Muh. Ridwan , Arifin Zainal
Published: May 2021

This research aimed to explore the roles performed by ICT teachers and conventional ones in the implementation of boating class for coastal students in Pangkep Regency. It is specifically focusing on roles as educators, mentors, managers, and evaluators. The research used descriptive qualitative approach. Two ICT teachers and two conventional ones were taken as the subjects of the research using purposive sampling technique. The results of the research showed that (1) In educating role, both ICT and conventional teachers act as models who possess emphatic feeling towards their students and environment. If the conventional teachers teach students at boat class conventionally using printed modules, the ICT teachers make use of ICT applications such as Whatsapp beside the use of printed modules, (2) In mentoring role, conventional teachers display their patience and loyalty to provide unrestricted knowledge to students inside and outside the classroom whereas ICT teachers provide students with more flexible services using social media applications in discussing the student worksheet and giving feedback, (3) In managerial role, conventional teachers organize the class directly so that the class becomes quiet, convenient, and students do not disturb each other. Differently, ICT teachers manage the class virtually from planning to evaluation. The teaching materials and worksheet are not only given in printed modules but also uploaded online via Whatssapp. and (4) In evaluating role, onventional teachers evaluate the students’ cognitive competence by using printed test. However, ICT teachers make use of technological aids in evaluating students’ competence and skill. The test is made in google form and its link is sent to students so that the students can do it wherever and whenever they are available.
The Claims Statements from Viral Videos for Instrument Development to Assess Argumentation Thinking Skills
Authors: Suyono  , Nasrudin H , Yonata B , Sabtiawan W B
Published: May 2021

The final goal of the research that is being carried out by researchers is to produce empirical data in the form of a profile of the argumentation ability of chemistry education study program students in assessing the phenomena of daily life that are exposed to viral on social networks/media. To achieve that goal, it requires the identification stage and the formulation of a claim statement that is written in the video. Thus, the goal to be achieved at this stage is to obtain a list of claim statements that will be used as a stem in the preparation of questions to assess the ability of the argument or counterargument of the test objectives. The method used is content analysis. There were 11 claim statements have been successfully formulated and the uses in the preparation of argumentation questions. The formulated claim statements are grouped into two statuses, namely true claim statements and false claims statements from a scientific perspective. The two groups of claim statements can then be taken into consideration by researchers for two designations. The first designation is to determine the types of questions to be developed, namely questions of argumentation and/or questions of counter argumentation. The second designation is the preparation of a rubric in scoring students’ argumentative abilities.
Design Seamless Learning Environment in Higher Education with Mobile Device
Authors: Dakir  , El Iq Bali Muhammad Mushfi , Zulfajri  , Muali Chusnul , Baharun Hasan , Ferdianto Dani , Al-Farisi Muhammad Salman
Published: May 2021

Mobile learning functions to facilitate student learning because it has characteristics that are practical to carry anywhere, so mobile learning has its interests. With mobile learning, learning is more flexible and effective. The consideration of the effectiveness of mobile learning-based learning demands the importance of research on the development of cutting-edge learning models to help students and educators to make learning easier and provide learning motivation for students in higher education. This research is descriptive quantitative research with data collection techniques using a questionnaire. This research was conducted from April to June 2020 in the PGMI Nurul Jadid University. The research population is students of the PGMI who are still active in the 2019/2020 academic year. Mobile learning based on mobile devices is in the useful category with a frequency of 28 and a percentage of 75.67, the rest is in the fairly good category, a frequency of 3 is obtained with a percentage of 8.10%, in the very good category a frequency of 4 is obtained with a percentage of 10.82%, and less, obtained a frequency of 2 with a percentage of 5.40%.
Performance of CH-DVR during Phase Angle Jump and Fault Riding
Authors: Palleswari Y T R , Siva Asapu , Kadali KalyanSagar , bhukya Ramu
Published: May 2021

In this paper, a seven-level cascaded H-Bridge dynamic voltage restorer (CHDVR) is proposed to mitigate power quality issues in the power system that are causing severe problems both in industrial and commercial sectors which may sometimes lead to interruption of power. To improve the voltage quality, many series compensators are been using in which DVR is one best solution wherein in many cases phase angle jump is not considered during the initial stage of compensation which influences the power quality. In this paper voltage Phase Angle Jump (PAJ) is taken into consideration to improve voltage quality using DVR. Moreover, Fault riding capability (FRC) is also considered along with phase jump to progress overall execution of the power system. The control strategy adopted is worked out for several sag cases and the analysis is validated using results acquired from MATLAB/SIMULINK 2019 platform.
Texture based Clustering Technique for Fetal Ultrasound Image Segmentation
Authors: Sree S Jayanthi , Kiruthika V , Vasanthanayaki C
Published: May 2021

Segmentation of fetal ultrasound image is an important and necessary task in the automation of fetal biometric measurement. Fetal ultrasound image segmentation is tedious because of the fuzzy nature and textured appearance of fetal structures. Hence, texture based Clustering is proposed for segmenting fetal ultrasound images. Clustering is performed using texture properties of the images which are used for segmenting ultrasound images of fetus. Texture based clustering technique can be used for segmenting all fetal anatomies specifically abdomen, the boundaries of which are very vague and difficult to delineate. Synthetic, simulated ultrasound images and 120 ultrasound fetal images were used for validating the method achieving an accuracy of 90%.
Efficient Clustering of Unlabeled Brain DICOM Images based on similarity
Authors: Murugan Suriya , Sumithra M G , Murugappan M
Published: May 2021

Clustering has proven to be an effective method in the medical field for finding patterns in labelled and unlabelled datasets. This work is implemented over whole body CT scans (∼1TB) of 3500 patients in form of unlabelled DICOM images. The whole-body CT images have been anonymized for 30 attributes based on DICOM regulations and the Brain images alone are segmented using the DICOM tag element called ‘Protocol stack’. The segmented Brain images are efficiently grouped based on visual similarity using K-means clustering after performing feature extraction and dimensionality reduction. The results of the clustering can be furtherutilized by radiologists to perform labelling or find patterns in Brain CT scans of patients that are difficult where each scan consists of a varying number of slices during detection of Internal Bleeding. The efficiency of K-means is analyzed by performing computation over a different number of clusters (K) by applying silhouette scores to find optimal cluster.
An Effectual Smart Waste Assortment using Metallic sensors
Authors: Keerthana S , Kiruthika B , Lokeshvaran R , Midhun Chakkaravarthi B , Dhivyasri G
Published: May 2021

Quick expansion in populace has prompted inappropriate waste administration in metro urban communities and metropolitan regions. It makes unhygienic conditions for the residents in the environmental factors, prompting spread of infections and disease. To stay away from this issue, IoT based waste assortment and removal, is the best arrangement. This framework identifies the appearance of garbage utilizing an IR sensor and checks the substance of metal by utilizing metallic sensor. Moreover, the waste is grouped into dry and wet waste build-up with the assistance of capacitive finder. It comprises of ultrasonic sensors which quantifies the degree of trash, and shows the level in LCD screen just as message to clean in the event that it is full.. It is normal that this framework brings about establishing greener climate by observing and arranging the assortment of waste shrewdly through IoT.
Object Recognition in Images with Low-Resolution using Convolutional Neural Network
Authors: Raghunathan T , Sharmili G , Shreejaa T H , Saru S
Published: May 2021

Object recognition is a technology in computer vision that finds objects in an image or video series and identifies them. Phenomenal results have been recorded in object recognition studies using deep neural networks. But it has generally been deduced that sufficient image resolution and object size are obtainable, which cannot be assured in practical uses. Recognition of objects in lower resolution images is difficult. To overcome the stated problem, a Convolutional Neural Network (CNN) model for identifying objects in lower resolution images is proposed in this paper. In object recognition datasets, this approach outperforms the high recognition accuracy. In convolutional neural network models, both convolution and max-pooling layers are typically stacked. In the proposed approach, the pooling layer was substituted with a convolutional layer with an expanded phase without loss of precision in image recognition. The All Convolutional Neural Network with trained weights for recognizing lower resolution images is deployed. Through the obtained results, it is verified that the proposed model has high efficiency and accuracy.
Movie Recommender System Using Machine Learning Algorithms
Authors: Kumar Piyush , Kibriya Shaik Golam , Ajay Yuva , Ilampiray
Published: May 2021

These days, a recommendation of a movie from a server-based system has made finding a piece of cinema easier. Film recommendation helps us to find films that we need to watch, instead of searching extensively online and help cinephiles and movie buffs by suggesting top tier films to watch without looking into huge databases which is very time consuming. As an approach to this dilemma, we Introduce a model based on collaborative and content-based approach which will use a variety of Python based Machine Learning algorithms from huge datasets and immensely produce a movie suggestion based on their taste and past watch history or genre. This compared to other recommendation systems is different and is based on a content-based approach.
Design of an integrated system of wireless power transfer, battery health monitoring system and automated power factor correction in electric vehicles
Authors: Senthil Kumar R , Saravanan S , Sivaram M K Raj , Kishore Aravindh S , Manoj Kiran K , Kavin Kumar M
Published: May 2021

Since gasoline prices have risen, electric vehicles (EVs) are becoming more common. As a result of these conditions, many vehicle manufacturers are searching for alternative energy sources to petrol. Electrical energy sources could be better for the environment because they produce fewer emissions. Furthermore, electric cars have major benefits in terms of energy efficiency and environmental safety. This project aims in providing a complete solution of wireless power transfer, battery health alert system and automated power factor correction of the electrical system of electrical vehicles, thereby providing a complete integrated solution of wireless charging of rechargeable battery present in electric vehicles as well as proper utilization of the active power to the maximum in AC Electric vehicles, therefore increasing the efficiency of the power utilization. This project also discusses the battery health alert system. This project aims in providing an automated solution of reactive power compensation of electrical system in EVs to reduce the wastage of power effectively.
Deep learning based Food Recognition using Tensorflow
Authors: Abirami K Rama , ManojKumar M , Insaf Mohammed , Sakthivel Naveen
Published: May 2021

Cutting edge profound learning models for food acknowledgment don’t permit information steady taking in and frequently experience the ill effects of cataclysmic impedance issues during the class gradual learning. This is a significant issue in food acknowledgment since certifiable food datasets are open-finished and dynamic, including a persistent expansion in food tests and food classes. Model retraining is frequently done to adapt to the powerful idea of the information, yet this requests very good quality computational assets and critical time. This paper proposes another open-finished ceaseless learning system by utilizing move learning on profound models for include extraction, Relief F for highlight determination, and a novel versatile decreased class steady portion extraordinary learning machine (ARCIKELM) for characterization. Move learning is gainful because of the great speculation capacity of profound learning highlights. Alleviation F lessens computational intricacy by positioning and choosing the extricated highlights. The tale ARCIKELM classifier progressively changes network design to decrease calamitous neglect. It tends to space variation issues when new examples of the current class show up. To direct complete analyses, we thought about the model in contrast to four standard food benchmarks and an as of late gathered Pakistani food dataset. Test results show that the proposed structure learns new classes steadily with less calamitous induction and adjusts space changes while having serious characterization execution.
Efficient Method for Storing Health Record in Cloud Using Integrity Auditing and Data Sharing
Authors: Abirami K Rama , Ajaye K P , Amrrish Roshan B L , Arun Nishanthan A
Published: May 2021

Identity based cloud storage authorization is proposed in this paper to provide protection of cloud data. Many sensitive information is stored in the cloud, and it must be kept safe from unauthorized access. By hiding the sensitive information’s, privacy for an individual or organization is provided. The data in the cloud are secured by hiding the sensitive information. In the proposed system when the user and data analyzer sign-in they will receive the verification mail to assure as a valid user or data analyzer. The verification key for the user and the data analyzer is generated by the Private Key Generator (PKG). The user and the data analyzer enter the cloud using the verification key to upload and retrieve data from the cloud. Until uploading data to the cloud, the user encrypts the data, concealing confidential details. The Third Party Auditor is in charge of the cloud auditing process (TPA). This scheme allows data files stored in the cloud to be shared and used by data analyzers under the condition that confidential information is hidden, allowing the auditing system to operate more efficiently.
A Review on Development of Rare Earth Based Contrast Agents for Dual Modal Imaging of Cancer Cells
Authors: Gayathri T
Published: May 2021

The risk of developing cancer is becoming higher due to the genetic and environmental factors. Diagnosing cancer at an early stage is a very big challenge to clinicians and researchers. Several imaging modalities are being used in hospitals for diagnostic purposes. But each imaging modality has some limitations to identify the cancer cells at their early stage. Magnetic resonance imaging can be combined with optical imaging for better diagnosis of cancer. This concept of combining two imaging modalities is termed as ‘dual modal imaging’. In dual modal imaging, the limitation of one technique becomes the advantage of other. This review article focuses on the dual modal imaging which is achieved by using rare earth doped gadolinium oxide nanoparticles. By doping the rare earth ions into the gadolinium oxide matrix, both the optical and magnetic properties of the material are shared.
Secure Data Access Privacy Preserving Using Cloud Services
Authors: Rajkumar M , Kanmani E , Bhuvanesh M , Haritha B , Kalaiyarasi B
Published: May 2021

Notwithstanding the huge computational advantages, re-appropriating information to the public internet, furthermore avoiding end-users, quick authority towards the systems which using their information, which inescapable gets up to the minute privacy tasks. Circulated registering allows different pros and unrivalled comfort for the cloud users to obtain the needed permission of cloud gave that the close by establishment limits need not be thought of. While getting to information, there may be a co-employable connection between various customers which assembles sharing and exchanging of data, a grim cycle. The viewpoint on present privacy courses of action is basically on confirmation to catch that the information of an independent can’t be moved nearer illegitimately, anyway there arose an insurance problem when a user interest for information splitting into various customers between cloud specialist. The customer security may be uncovered by tried induction appeal itself, if data permission approval for the users is gained or loosed. In the introduced structure, an assurance saving affirmation show is used to hinder the above security bothers. According to this Method, control of data through shared induction is cultivated by route toward convey baffling permission appeal that offers security to the cloud users. Permission authority relies upon credits so the cloud customers can simply get to their own endorsed data fields. Advanced encryption standard estimation is used to achieve data lack of clarity and data protection. The proposed system oversaw secure assurance saving data access authority is appealing for various customer in cloud consistent limit.
Construction Scheme of Regional Power Grid Dispatching Intelligent Error Prevention System Based on D5000
Authors: Wang Shenjie , Niu Haonan , Pan Na , Xu Zhicheng , Pan Qi
Published: May 2021

A construction scheme of regional power grid dispatching intelligent error prevention system based on D5000 system is proposed. The system architecture, system requirements, technical requirements and acceptance criteria of the system are described in detail. It provides reference for the construction of intelligent error prevention in the process of integration of regulation and control and intelligent layout in other power industry.
Analysis of Offshore Wind Power Integration
Authors: Niu Yukun , Wen Jun , Ma Limin , Wang Shujie
Published: May 2021

In recent years, global energy and environmental problems have become increasingly prominent, and wind power has entered a period of rapid development. At the same time, offshore wind power integration is also facing many challenges and problems. Based on the analysis and research of offshore wind power integration, this paper introduces the technologies of offshore wind power integration such as HVAC, LCC-HVDC and VSC-HVDC, and discusses the impact of large-scale offshore wind power on power grid, interaction with UHVDC, voltage ride through and harmonic vibration of offshore wind power, and the impact of large-scale wind power integration on power grid and power quality problems are studied. The research and breakthrough of these problems will greatly benefit the development of offshore wind power industry.