bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of task-based digital language teaching materials with environmental education contents for middle school students
Authors: Ramadhan S , Atmazaki  , Sukma E , Indriyani V
Published: March 2021

The year 2020 is almost over, but the COVID-19 pandemic in Indonesia has not been resolved. Distance learning has been implemented since early 2020, but there are still several limitations, one of which is the use of teaching materials. Teachers need to develop teaching materials based on their needs and current situations. Digital teaching materials will be very relevant to use for distance learning because they can be developed interactively. The teaching materials can be accessed via a computer or mobile device. Teaching materials are developed based on tasks. This method was chosen because it can support the distance learning process and can be used by all students, even though the digital devices and networks are limited. In addition, integrating environmental education in learning is currently very necessary so that students have knowledge and foster environmental awareness. Based on this, the purpose of this study is to develop a task-based digital language teaching material design with environmental education for middle school students. This type of research is development research using the Plomp Model (preliminary research; pratotype phase; and assessment phase). This study uses descriptive data analysis techniques. The results showed that the teaching materials developed were categorized as very valid and could then be tested on students.
Development e-Teaching Material Based Moodle Web
Authors: Ramadhani Putri Lestari S , Nurfajriani  , Silaban Ramlan
Published: March 2021

This study aims to determine the teaching materials used in schools are in accordance with the National Education Standards Agency and to develop e-learning teaching materials based on Moodle web media on solubility and solubility results. The type of research used is R&D (Research and Development) which is modified ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The research samples were class chemistry books, chemistry lecturers, IT experts, and chemistry teachers. The research instrument was a validator assessment sheet. Based on the results of the analysis obtained the percentage of eligibility of teaching materials used in school is 85% with a very feasible category, 2) the percentage of feasibility of teaching materials developed is 93.5% and the eligibility of Moodle e-learning 87.5%, so the teaching materials are based on Moodle is categorized as very feasible. So it can be concluded that the chemical teaching materials used in schools are in accordance with the National Education Standards Agency; Moodle Web-based teaching materials that have been developed can using in chemistry learning.
CA-Markov Model for Predicting Paddy-Field Land in Babulu Subdistrict, North Penajam Paser Regency, East Kalimantan
Authors: Hazani Syahla Nuzla , Damayanti Astrid , Indra Tito L. , Dimyati Muhammad
Published: March 2021

Paddy-fields in Indonesia continue to change their function every year as a result of the increase in land for settlements, as well as in North Penajam Paser Regency. The plan to relocate the capital city to North Penajam Paser Regency can support various impacts on land conversion, such as reducing paddy-fields so that paddy-fields productivity can be disrupted and reduce food availability. The purpose of this study to analyze and predict the availability of paddy-fields in 2031 in Babulu Subdistrict, North Penajam Paser Regency, using the CA-Markov method. Changes in paddy-field use were identified using remote sensing. This study’s driving factors are the distance from the river, distance from the road, distance from the settlement, slope, and elevation. The results showed that paddy-fields in the Babulu Subdistrict have increased during the period 2009 – 2020. Paddy-fields in 2031 will reach 12.3% of the total area. Paddy-fields have an increased probability in the regions that are high and close to rivers. The model shows that the paddy-fields land in the Babulu Subdistrict has increased in line with the increasing trend of the plantations and settlements area.
Impact of Vegetation Density Change on Land Surface Temperature in Kuta Utara Subdistrict, Badung Regency, Bali Province
Authors: Aginta Friscila , Damayanti Astrid , Dimyati Muhammad
Published: March 2021

Land function change can impact on decreasing green open space and land surface temperature (LST), which is one of the important parameters in environmental change. This study aims to identify vegetation density change and its impacts on land surface temperature in Kuta Utara Subdistrict, by comparing two vegetation indices to decide which vegetation index is more suitable if it is associated with LST. The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) were used to knowing vegetation density change. This study estimated the brightness temperature of the satellite to find out the land surface temperature. NDVI, EVI, and LST values were obtained through Landsat ETM+ and Landsat OLI in 2010, 2015, and 2020. The values are analyzed using the spatial-temporal analysis method to see the vegetation density change and LST. The results of NDVI and EVI analysis showed that there are changes in vegetation density for each year, especially in the east and west Kuta Utara Subdistrict. The decreased in vegetation density causing an increase in LST from 2010, 2015, and 2020. Based on the analysis results, vegetation density changes based on NDVI and EVI did not have a significant impact on LST in Kuta Utara Subdistrict.
Effect of Fillet Radius of UAV Main Landing Gear on Static Stress and Fatigue Life using Finite Element Method
Authors: Wibawa L A N
Published: March 2021

The landing gear is one crucial component in the UAV aircraft structure because it serves as the main supporting component of aircraft load when landing and take-off. This study aims to determine the effect of the fillet radius on static stress and fatigue life of the main landing gear for UAV aircraft. Static stress and fatigue life analysis using the finite element method with Ansys Workbench software. The fillet radius is varied 120, 130, 140, and 150 mm. Predictions for fatigue life use the Gerber mean stress theory with a full-reserved type of loading. Landing gear material uses Aluminium alloy 6061. The static stress analysis shows that the higher the fillet radius, the higher the von Mises stress of the main landing gear frame. The fatigue life analysis shows that the higher the fillet radius, the lower the fatigue life of the main landing gear frame. The main landing gear frame achieves the highest fatigue life of up to 3.90 x 107 cycles at a fillet radius of 120 mm.
Analysis of Science Process Skills Using Learning Cycle 7E
Authors: Khairani Z , Nasution D , Bukit N
Published: March 2021

This study aims to analyze how science process skills use the learning cycle 7E. This study describes science process skills using the learning cycle 7E for each indicator and describes the factors that affect science process skills. This type of research is a quasi-experiment with a pretest-posttest control group design. Data analysis was carried out using descriptive analysis which aims to be able to explain a symptom that occurs in research and to solve problems that occur on the basis of data obtained in the field. The results showed that science process skills using the learning cycle 7E had a significant increase, and there were factors that influenced the improvement of science processing skills, namely the use of the learning cycle 7E and several factors from outside the individual such as social and non-social environments.
Forecasting tourist visits using data decomposition technique and learning optimization of artificial neural network
Authors: Herawati S , Latif M
Published: March 2021

Estimates of tourist visits is very important to determining policy and decision making. This study proposed a new method for forecasting tourist visits. A case study was conducted at a tourist spot in Sumenep, Indonesia. The model proposed is data decomposition and optimization of learning against tourist visits data. Data decomposed use the Ensemble Empirical Mode Decomposition (EEMD) method, then data learning use the Feedforward Neural Network (FNN) which was optimized using the Polak-Ribiere Conjugate Gradient (PCG). The two methods are integrated to produce accurate forecasts. Several patterns of learning data were carried out in this experiment. The results of this method show good permformance results as measured used RMSE and MSE.
Forecasting Non-Stationary Time Series with the Multiscale Autoregressive (MAR) Model Approach Using the Haar Wavelet Filter at the Rupiah Exchange Rate Against the Dollar
Authors: Angreni Puce , Fitriani Rahma , Astutik Suci
Published: March 2021

Time series data is a collection of a phenomenon that occurs based on a fixed or at the same time index. Time series phenomena often exhibit non-stationary behavior. One of the time series analyses for non-stationary data is the Multiscale Autoregressive Model (MAR). The MAR model chosen is a model that meets the assumptions of normality and white noise. The predictors used in MAR modeling are wavelet coefficients and scales which are the result of decomposition using Maximal Overlap Discrete Wavelet Transform (MODWT), MODWT functions to decompose data based on the level of each wavelet filter (family). The wavelet filters used in this study are Haar. In this study, the model generated from the data that was stationary first was more accurate than the data that was not stationary first.
Development of Guided Inquiry-Based Instructional Materials to Improve Students’ Science Process Skills
Authors: Br Sitepu Ayu Sri Menda , Sinulingga Karya , Ginting Eva Marlina
Published: March 2021

This study aims to determine the improvement of students’ science process skills by using guided inquiry-based physics teaching materials. This research is a research development (Research & Development) using the Borg and Gall design. This research was conducted at the Smart Nation Private High School with a sample size of 30 students. This research was conducted until the development stage, namely expert validation. The results of the needs analysis and material analysis show that physics teaching materials are needed by teachers and students to support physics learning activities in schools. The teaching materials developed were temperature and heat teaching materials. The results of the validation of the three validators, namely material expert lecturers and media expert lecturers, show that the quality of teaching materials is in the very good category and can be used in the learning process after a long revision, besides that the students’ responses to teaching materials develop in a positive category. The average result of the validation of teaching materials by material experts was 87.5%, and the average validation of media experts was 86.5% with the very good category.
An overview of e-commerce adoption in Indonesian SMEs
Authors: Hasan Amiruddin , Amrusi  , Musfiana  , Mardhani Martahadi
Published: March 2021

This paper aims to provide an overview of e-commerce adoption in Indonesian Small and Medium Enterprises (SMEs). The data were analyzed descriptively using official data from the publication of E-Commerce Statistics. We found a low level of e-commerce adoption, where most businesses use conventional patterns to sell goods and services. The paper concludes that it is necessary to understand better the barriers to small businesses in implementing e-commerce. To promoting accelerated e-commerce adoption, the national and local governments must support through various policy responses.
Development of Physics Teaching Materials with a Guided Inquiry Model to Improve High School Students’ Critical Thinking Skills
Authors: Sari Simatupang Thesa Irene , Siregar Nurdin , Sinulingga Karya
Published: March 2021

The purpose of this study was to develop a guided inquiry-based teaching material to see an increase in students’ critical thinking skills with this type of Research & Development research. Starting from a preliminary study, analysis of student needs, literature study, and field observation, followed by designing a guided inquiry-based teaching material. The teaching materials developed arranged according to the phases in guided inquiry, then assessed by material expert validators and design experts. Teaching materials are also assessed by school teachers and tested on students. The teaching materials developed are temperature and heat. At the design, the results of the teaching material design were obtained based on the guided inquiry model steps. In the results, the developed teaching materials are valid and suitable for use based on the very good category of assessment by the validator with a score of 89.5% by material experts and 95.20% by design experts; by teachers the percentage is 90%. Teaching materials have also been efficient, seen from the improvement of students’ critical thinking with the N-gain analysis in the medium category. It can be concluded that guided inquiry-based teaching materials are valid, practical and efficient so that they can improve students’ critical thinking skills.
Properties of characteristic polynomial and eigenvalues of antiadjacency matrix of directed unicyclic tadpole graph
Authors: Qomaruzzaman  , Aminah S , Sugeng K A
Published: March 2021

A directed cyclic graph is a directed graph that has at least one directed cycle graph, that is a cycle graph in which all edges are oriented, so that the direction passes through each vertex once, except the end of vertex. The directed unicyclic tadpole graph

T

m
,
n

→

is the graph created by concatenating a cycle

C
m

→

and a path

P
n

→

with an edge from any vertex of

C
m

→

to a pendant of

P
n

→

for integers m ≥ 3 and n ≥ 1. Antiadjacency matrix is a directed graph representation matrix based on whether or not there is a relation between one vertex and the others. This paper gives the general form of coefficients of characteristic polynomial and eigenvalues of antiadjacency matrix of directed unicyclic tadpole graph. To find the general form of coefficients of characteristic polynomial and eigenvalues of antiadjacency matrix of directed unicyclic tadpole graph we need to do the grouping of induced subgraphs into acyclic and cyclic and verify with related theorems. After that, the characteristic polynomial is factorized and the roots are calculatedto find its eigenvalues. The coefficients of the characteristic polynomial consist of three distinct values and the eigenvalues are divided into odd case and even case.
The set chromatic numbers of the middle graph of graphs
Authors: Eugenio G R J , Ruiz M J P , Tolentino M A C
Published: March 2021

For a simple connected graphG, letc:V(G) → ℕ be a vertex coloring ofG,where adjacent vertices may be colored the same. The neighborhood color set of a vertexv, denoted byNC(v), is the set of colors of the neighbors ofv. The coloringcis called aset coloringprovided thatNC(u) ≠NC(v) for every pair of adjacent verticesuandvofG. The minimum number of colors needed for a set coloring ofGis referred to as the setchromatic numberofGand is denoted byχs(G).In this work, the set chromatic number of graphs is studied in relation to the graph operation called middle graph. Our results include the exact set chromatic numbers of the middle graph of cycles, paths, star graphs, double-star graphs, and some trees of height 2. Moreover, we establish the sharpness of some bounds on the set chromatic number of general graphs obtained using this operation. Finally, we develop an algorithm for constructing an optimal set coloring of the middle graph of trees of height 2 under some assumptions.
On the resolving strong domination number of graphs: a new notion
Authors: Dafik  , Slamin  , Agustin Ika Hesti , Retnowardani Dwi Agustin , Kurniawati Elsa Yuli
Published: March 2021

The study of metric dimension of graph G has widely given some results and contribution of graph research of interest, including the domination set theory. The dominating set theory has been quickly growing and there are a lot of natural extension of this study, such as vertex domination, edge domination, total domination, power domination as well as the strong domination. In this study, we initiate to combine the two above concepts, namely metric dimension and strong domination set. Thus we have a resolving strong domination set. We have obtained the resolving strong domination number, denoted by γrst(G), of some graphs.
On local irregularity vertex coloring of comb product on star graphs
Authors: Mursyidah I L , Dafik  , Adawiyah R , Kristiana A I , Agustin Ika Hesti
Published: March 2021

Let G = (V,E) be a graph with vertex set V and edge set E. The graph G is said to be a local irregular vertex coloring if there is a function f is a called a local irregularity vertex coloring if : (i) l : (V (G)) → {1, 2,…,k} as a vertex irregular k-labeling and w : V(G) → N, for every uv ∈ E(G),w(u) = w(v) where w(u) = Σv∈N(u) l(i) and (ii) opt (I) = min{rnax{li; livertex irregular labeling}}. The chromatic number of local irregularity vertex coloring of G denoted by Xlis(G), is the minimum cardinality of the largest label over all such local irregularity vertex coloring. In this paper, we study local irregular vertex coloring of G ⊳∘
Sn
when G is complete bipartite graph (Km,p), ladder graph (Lm), fan graph (Fm), friendship graph (Frm), and cycle graph (Cm).
Two-phase method in affine scaling algorithm for linear programming optimization
Authors: Rochani H S , Wiraningsih E D , Hadi I
Published: March 2021

In this paper, the proposed algorithm approaches the optimum solution with a good feasible direction and proper step length. In this method, the initial solution is made to satisfy the feasibility properties. Therefore, the algorithm reduces the number of iterations required to obtain an optimal solution of a given Linear Programming problem and the iterative algorithm itself can be very useful for development of faster technique for solving linear programming problems.
Hashtag activism and message frames: social network analysis of Instagram during the COVID-19 pandemic outbreak in Indonesia
Authors: Priadana A , Tahalea S P
Published: March 2021

During the Coronavirus pandemic, social media played an essential role in disseminating information online by utilizing various message frames and hashtags. Instagram is a popular social media worldwide that are used to spread various information. This study applied the social network analysis (SNA) approach as a theoretical framework and explored how the relationship between users on the Instagram platform related to Coronavirus outbreaks. Moreover, we also investigate how the relationship between users and their hashtags. SNA techniques were used for visualizing network models using an undirected graph, measuring network attributes, and centrality measures to find the most influential users in the network. A total of 10,403 posts based on #wabahcorona on Instagram from February 28, 2020, to May 18, 2020, were analyzed. Based on the analysis results, hashtags play an important role in this topic. Degree centrality measure as connectivity number shows that only two user accounts can make it into the list’s top ten. When using the Eigenvector centrality measure, there are no users in the top ten. The modularity measure detects 122 distinct communities that show the dense connection of nodes in the networks. Betweenness centrality measure shows that there are six related hashtags to COVID-19 pandemic out of ten hashtags. They are #wabahcorona, #covid19, #corona, #viruscorona, #dirumahaja, and #coronavirus and the four are Islamic related hashtags. The Islamic related hashtags are caused by the date of Ramadhan month.
Application of factor analysis method to support the users acceptance model of ERP systems implementation
Authors: Sardjono W , Sudirwan J , Priatna W , Putra G R
Published: March 2021

An e-Commerce company has been using an Enterprise Resource Planning (ERP) system for several years, but is still constrained in its implementation, this is reflected in the number of issue/change request tickets submitted by users who have not been able to reach ideal conditions. To overcome this problem, we need an appropriate reference model, the ERP system user acceptance model in companies. The study conducted factors that influence the level of acceptance of SAP ERP users in the XYZ group to then determine a model that is able to explain practically the level of ERP system user acceptance, which in turn can produce concrete proposals to increase ERP system user acceptance. Research is quantitative descriptive using factor analysis and regression analysis methods. The research method uses a questionnaire with a total of 107 valid respondents coming from 8 company names under the XYZ group in 6 Southeast Asian countries. The conclusion of the study is that there are 24 indicators and 4 factors that influence user acceptance of the SAP ERP system. These four factors are the low contribution of the ERP system, the quality of ERP systems and data, the development of ERP systems, and also the low quality of ERP system supporters. It is hoped that by optimizing the value of the 4 factors, the XYZ group can increase user acceptance of the SAP ERP system so that the system can provide benefits expected by the company to be competitive advantage.
On the student’s combinatorial thinking skills under the implementation of research based learning in solving resolving independent domination number of graphs
Authors: Mazidah T , Dafik  , Slamin
Published: March 2021

The goal of this paper was evaluated the influence of implementing research based learning on student’s combinatorial thinking skill in solving resolving independent domination number of some special graphs. The study applied mix-method that included methods of qualitative and quantitative. The quantitative method was used for statistical analysis on learning achievment test, and qualitative was implemented in the context of interview and observation. The research subject was students of higher education who were divided into two classes, namely experimental class and control class. The experimental class involved 27 respondents and the control class involved 24 respondents. In the experimental class, learning tools were developed and applied to research based learning method, while research based learning method were used in the control class without learning tools. The outcome of data were analysed by using inferential statistics t-test, and the results of independent sample t-test on pre-test was 0,597 (p > 0,05), thus it was not significant, it means the two classes were homogeneous in term of achievment test. The outcome of post-test in independent t-test shown that the sig (2-tailed) is 0,000 (p < 0,05) , so it was significant. Based on the collected data, it means that implementing of Research Based Learning has a mayor effect on student’s combinatorial thinking skills in solving a resolving independent domination number.
Hypothetical learning trajectory design in development of mathematics learning didactic design in madrasah
Authors: Muin A , Fatma M
Published: March 2021

Mathematics learning for most student is still problem. Meanwhile, mathematics is very important in everyday life. The problem is that students experience difficulties in understanding the concept. These difficulties are called epistemological obstacles. It can be reduced by designing teaching materials in accordance with the students learning obstacle. This research was conducted to identify the students’ learning obstacle and create a hypothetical learning trajectory. The research subjects were 30 mathematics teachers at Madrasah Tsanawiyah and Aliyah in South Tangerang. The method used is Participatory Action Research (PAR). In this PAR, the participants involved were madrasah mathematics teachers, Head of Madrasah Education Section of South Tangerang, Head of Development Aliyah Madrasah , and lecturers from Mathematics Education Department. There are two Focused Group Discussion activities of the PAR. The results showed that students in madrasah still experienced many obstacles in understanding mathematical concepts, especially on the topic of functions, circles, sequences and series, as well as comparison due to limitations in conceptual explanations in the learning process. Based on students’ learning obstacle, material hierarchy, and analysis of previous teaching materials, a didactic design was created in the form of hypothetical learning trajectory (HLT). Henceforth, HLT will be developed into teaching materials.
Relationship of self-regulated learning with student learning outcomes in chemistry study
Authors: Fazriah S , Irwandi D , Fairusi D
Published: March 2021

This study aims to analyze the connection between self-regulated learning and students’ chemistry outcomes by large and by gender. The study used correlational technique with a quantitative methodology. Sampling was done using random sampling technique. The quantity of exploration tests was 408 student respondents comprising of 159 males and 249 females. The data collection technique was carried out by using a questionnaire adapted from the Motivated Strategies for Learning Questioner (MSLQ) and documentation study. Data were analyzed using the Spearman Rank correlation analysis technique. The results was obtained that the correlation coefficient in general was 0.272. Meanwhile, the correlation coefficient value based on gender was 0.248 for male students and 0.284 for female students. This shows that there was a positive relationship between self-regulated learning with student chemistry learning outcomes and female students have a higher self-regulated learning relationship with chemistry learning outcomes than male students.
Implementation of Deep Learning Using Convolutional Neural Network Algorithm for Classification Rose Flower
Authors: Anjani Imania Ayu , Pratiwi Yulinda Rizky , Norfa Bagas Nurhuda S.
Published: March 2021

Flora in Indonesia has about 25% of the species of flowering plant species present in the world. Roses are one type of flowering plants and are usually used as an ornamental plant that has a thorny stem. Roses have more than 150 species. In Indonesia there are several flower gardens that is larger than the others. One of the famous flower garden in Indonesia is located on Malang city, East Java. The flower garden in Malang has several varieties of many roses and has a large production of roses. To help the sales system of roses there, the researchers want to create a program that can classify the type of roses in order to help simplify the system of automatic sales of roses without through manual sorting. So that will accelerate the sale of roses with an automated system. Ordinary people with limited botanical knowledge usually don’t know how to classify the flowers just by looking at them. To classify the flowers properly, it is important to provide enough information, and one of them is the name of it. Convolutional Neural Network (CNN) is one method of deep learning that can be used for image classification process. The CNN design is motivated by the discovery of the visual mechanism, the visual cortex present in the brain. CNN has been widely used in many real-world applications, such as Face Recognition, Image Classification and Recognition, and Object Detection, because this is one of the most efficient method for extracting important features. In this research, the classification accuracy value obtained from the test data is 96.33% using 2-dimension Red Green Blue (RGB) input image, and the size of each image is 32 × 32 pixels that are trained with CNN algorithm and the network structure of four convolution layers and four layers pooling supported by dropout technique.
Analysis The Effect of Website Quality on User Satisfaction with The WebQual 4.0 Method and Importance-Performance Analysis (IPA) (Case Study: SPMB Sebelas Maret University’s Website)
Authors: Utami Indah Sri , Winarno  , Setiadi Haryono
Published: March 2021

The digital era describes the presence of technology where everyone can exchange information so quickly by the internet. For an institution, a website has its own benefits, among others, as a media for promotion, presenting information, and providing online services. This study aims to evaluate and improve website performance by analyzing the quality of the Sebelas Maret University selection of new student admissions (SPMB) website by utilizing a combination of WebQual 4.0 and Importance Performance Analysis (IPA) methods. In its analysis, WebQual method looks at 3 main dimensions: Usability Quality, Information Quality, and Service Interaction Quality. This research, which involved students in UNS, found that the website’s gap analysis still has a negative value on all attributes and there are several attributes that require improvement related to website design, presentation of detailed and up-to-date information and navigation on the website. The results from this study are expected could be used as evaluation for the SPMB website’s development to meet user expectation.
Implementation of Naïve Bayes Classifier-based Machine Learning to Predict and Classify New Students at Matana University
Authors: Barus Simon Prananta
Published: March 2021

Data is growing fast, triggered by the wider use of information technology (IT) by the public or organizations. In line with data growth, data processing is also developing. One of them is data mining. Data mining is very necessary in business to obtain the information that needed to make business strategy such as marketing strategy. At Matana University, the Marketing Department needs to utilize data mining to optimize the achievement of its targets, particularly to predict and classify the prospective student data. Current data mining processing machines already have the high performances with large storage capacities. To improve the performance of data mining processing machines, machine learning is applied. The machine becomes intelligent and able to learn from the provided data. The application of machine learning to predict and classify new students is based on supervised learning by applying the Naïve Bayes Classifier (NBC) algorithm. The data used is the data of prospective students who have registered at Matana University. Machine learning is built, using the Python programming language. The result of the application has an accuracy of 0.73 (73%) and very helpful to the head of marketing in making marketing strategies. In the future, several developments can be done such as using other algorithms, accessed by smartphone, using dashboards in visualization, or adding data attributes such as parental income, religion, hobby, future goal and so on.
Science Learning Of Primary Teachers’ Students; an Analysis Study In Covid-19 Era
Authors: Kelana J B , Wardani D S , Arga H S P , Ruqoyyah S
Published: March 2021

Covid-19 changes face-to-face learning to online, this also applies to science learning in elementary education students. This study aims to: 1) determine the learning outcomes and responses of elementary school students to science learning during the Covid-19 period; 2) to find out the obstacles/difficulties in implementing science learning for elementary school students during the COVID-19 period. This study used a descriptive method with a sample of 33 students. The data collection technique used essay test questions, questionnaires, and interviews. The data that has been obtained will be analyzed qualitatively and described in descriptive form as well as Ms. Excel. The results of data analysis showed 1) the average student learning outcomes was 71.06. The other 16 students scored below the KKM and the remaining 17 students had their scores met the KKM scores; 2) student response, almost all students said that online learning was fun, although there were still many obstacles in its implementation; 3) the obstacles faced include inadequate facilities, limited interaction, student interest in learning, lecturers cannot thoroughly control students who are involved in online learning and learning that takes a long time to make students experience boredom. This shows that the use of science learning for basic education students using online learning still needs to be optimized.
MIKiR’s approach to developing Visual Literacy Skills for PGMI Students at UIN STS Jambi through online lectures
Authors: Azim Paujan , Sulhani
Published: March 2021

Visual literacy is determined by one’s reading comprehension, visual literacy is always found in our environment, lecturers need to provide opportunities for students to get activities that can develop their visual literacy skills, and it is hoped that these visual skills can be taught to MI / SD students. One of the activities that can support visual literacy is the MIKiR approach. MIKiR stands for Experiencing, Interaction, Communication, and Reflection. Experiencing activities such as students observing, doing experiments, making things. Interaction such as discussing, asking, and answering questions, explaining the results of group work. Communication such as conveying work results, telling stories, expressing opinions. Reflection is like writing or mentioning what was learned today and what was not understood. Online lecture activities carried out with the MIKiR approach are able to develop student visual literacy such as students being able to present messages in text into visual forms and students being able to transform visual messages into written text. The implication of this research is that students are able to develop their visual literacy skills and students are able to choose an appropriate learning approach in improving the visual literacy of students.
Implementation of Flipped Classroom on Experiences in Online Learning During Pandemic Covid-19 for a Project-Base Vocational Learning Guide
Authors: Sarwa  , Rosnelli  , Triatmojo Wahyu , Priyadi Mintoro
Published: March 2021

Online learning practices during the Covid-19 pandemic were completely carried out without being accompanied by face-to-face activities. This condition forces lecturers and students to adapt to new learning approaches by implementing online learning (e-learning). The research aims to develop a practical framework for Blended Learning (BL) implementation from best-practices and the concept of the flipped classroom (FC). The research method used is the ADDIE method (analysis, design, development, implementation, and evaluation). The research stage began with a survey of online learning service experiences had been using various online learning tools. The results of the inventory of best practices in online learning were used to compile the BL framework and integrate it with the FC framework as an alternative to vocational learning scenarios. The scenario of the BL framework was validated by the FGD technique. A vocational learning scenario called flipped training (FT) is applied in Online Classroom Management Training activities. The principle of implementing FT in online vocational learning begins with implementing project-based learning packaged in worksheets, class projects are presented in the LMS room and guided by video tutorials. After asynchronous delivery of project content, virtual face-to-face activities are carried out for confirmation and discussion of project execution preparation. At the end of the virtual face-to-face session, class participants were tested cognitively to ensure readiness for project execution. Production results are presented in video format, evaluated, and assessed on a rubric basis.
Collaborative Problem Solving (CPS) Based Collaboration Skills Rubric in Natural Science Learning
Authors: Hairida  , Ulfa M , Hadi L , Setyaningrum V , Arifiyanti F
Published: March 2021

This study aims to develop and analyze the feasibility of collaboration skills based on the Collaborative Problem Solving (CPS) rubric in junior high school science learning which is feasible from the aspects of validity and practicality. The research method used is the method of research and development of the Borg and Gall model which is limited to only 7 stages. Data collection techniques and tools are adapted to the research stage. The results of the validation of the research content using the Lawshe formula obtained CVI (Content Validity Instrument) = 0.99. Practicality tests through a questionnaire response to educators in a limited manner obtained positive statements of 92.55% and widely obtained positive statements of 97.35%. The conclusion of this research is that collaborative skills rubric is feasible to be used to measure collaboration skills in science learning in junior high schools.
Research Trends of Serious Games: Bibliometric Analysis
Authors: Irmade Oka , Suwarno  , Anisa Nur
Published: March 2021

One of the alternatives offers to enhance the improvement of learning process is by adopting a game which is known as serious game. The using of serious game in various studies published by leading journals has gradually increased. This increase is also reflected in various fields of research. The purpose of this research is therefore to define the current trends in serious game. The research performed a bibliometric analysis based on the Scopus database. Based on the keywords, the research was able to collect 5,375 documents in further review. Various methods have been used, such as frequency analysis, VOSviewer for data visualization, citation and metrics analysis. This study reports research results using standard bibliometric measures such as publication year, document type, source type, subject area, keyword analysis, geographic distribution, authorship, affiliation and citation analysis. Based on these results, serious game publications have increased significantly since 1984 in recent years. The increasing number of serious game research underlines the importance of serious game for learning.
The Effect of Inquiry-Based Ecosystem Learning Module from Fishponds as a Learning Resource on Students’ Cognitive Ability
Authors: Sueb  , Muhdhar Mimien Henie Irawati Al , Zahroh Vilda Rima Aulia
Published: March 2021

Cognitive abilities are important abilities that students have to be able to construct and understand lessons. The development of students’ cognitive abilities can be done through modules where the use of modules can improve learning activities and student learning outcomes. The use of modules with local potential learning resources makes learning more meaningful. The research aimed to compare student’s cognitive skills between students using the ecosystem module based on inquiry with fishpond as a learning resource and worksheet. The research was a quasi-experiment using a nonrandomized control group pretest-posttest design. The subjects of this research were two classes including 28 students of grade X IPA 3 as an experimental class and 28 students of grade X IPA 4 as a control class. The data were analyzed using analysis of covariance (ANCOVA). The result showed that the p-value was less than α or p < α (α = 0.05) that meant H1 was accepted. It was concluded that there was a difference in student’s cognitive skills using the ecosystem module and worksheet. Therefore learning using ecosystem module based on inquiry with fishpond as a learning resource empowered student’s cognitive skills. The effectiveness of modules based on local potential improves students’ cognitive abilities so that modules with learning resources from local potential can be applied in schools, especially ecosystem materials.
A Conceptual Framework for Empowering Students’ Critical Thinking through Problem Based Learning in Chemistry
Authors: Miterianifa  , Ashadi  , Saputro Sulistyo , Suciati
Published: March 2021

Problem Based Learning (PBL) is a model whose learning relates to problems in everyday life. Through problem-solving activities, it is hoped that it can empower students’ critical thinking skills. This paper proposes a conceptual framework to explore the implementation of problem-based learning in empowering critical thinking. This research method is qualitative research categorized as a literature review. Data collection was carried out by documentation method trough the stages of searching, selection, presentation, and descriptive analysis of literature related to PBL and critical thinking. The method use is qualitative with the main source from the literature review of the PBL and critical thinking. From the results of the literature review analysis reveals the steps of the PBL model are, 1) oriented questions to problems, 2) Organize student to learn, 3) Guiding individual and group investigations, 4) Develop and Present the Work, 5) Analyze and evaluate the problem-solving process. Critical thinking skills that can the empowered through the application of problem-based learning in this article include 1) the ability to focus on questions, 2) analyze arguments, 3) the ability to ask a question and the ability to answer the question, and 4) express opinions during presentations appropriately based on appropriate learning resources, 5) observing and considering the results of observations, 6) identifying assumptions, and 7) deciding on an action. The literature review results show that the syntax contained in PBL can improve critical thinking.
Microwave-assisted of synthesis and characterization of nanocomposite hydroxyapatite-chitosan
Authors: Yanti Pepi Helza , Pebrianti Ramona
Published: March 2021

In this study, the synthesize of hydroxyapatite-chitosan composites has carried out using the microwave-assisted method. The hydroxyapatite-chitosan composite is interesting to develop based on the application in many fields. Porous hydroxyapatite is very useful for reconstructing damaged bones because it will stimulate the growth of new bone cells. The synthesize of hydroxyapatite utilized waste of Geloina coaxans shells as the calcium source both phosphate sources are ammonium dihydrogen phosphate NH4H2PO4 and KH2PO4 while for synthesis hydroxyapatite-chitosan composites will be carried out using the waste of Scylla olivacea shell as a source of chitosan. The rapid pathway synthesis is very crucial for producing composites. Synthesis has done using the microwave 450 W with a retention time of 20 minutes. Based on the results, the hydroxyapatite powder can be produced with specific peaks of hydroxyapatite at 31.7°. Mass of chitosan influenced pore of the hydroxyapatite-chitosan composite increased the pore diameter of hydroxyapatite-chitosan composite 0.28 to 5.0308 nm and 4.3182 and 7.0268 using KH2PO4 and NH4H2PO4. The functional group also shows the specific bands of hydroxyapatite.
Identification of The Ability Level Creative Thinking Of Junior High School Students On Motion Materials
Authors: Syafrial  , Ashadi  , Saputro Sulistiyo , Sarwanto
Published: March 2021

The purpose of this study was to determine the level of creative thinking of junior high school students in motion material. This research data collection method is to use the test and interview methods. The test used in this study used test questions. Quantitative descriptive analysis is the score of the results of each aspect of student creative thinking. Qualitative descriptive analysis to classify students’ level of creative thinking. The results of the analysis of the ability to think creatively in this study indicate that the fluency aspect of the score reaches 57.94 in the low category; The value of the flexibility aspect reaches 35.58 in the very low category; The score for the authenticity aspect of 55.88 categories is low and the score for the elaboration aspect is 45.58 for the very low category. The level of creative thinking of students is still very low because the average score of the four aspects of creative thinking is 48.75. This study provides an overview of the level of creative thinking of students who are in the low and very low categories, so that teachers need to innovate in the learning process to improve the creative thinking aspects of student
The Effect of ZnO and TiO2 with Natural Dye of Broccoli (Brassia oleracea var. italica) on Dye-Sensitized Solar Cell (DSSC)
Authors: Cari C , Kurniawan Deny , Supriyanto Agus
Published: March 2021

Zinc oxide having the chemical formula ZnO, while titanium dioxide is titanium oxide having the chemical formula TiO2. Zinc oxide and titanium dioxide are inorganic compounds. Zno and TiO2 are often used for Dye-Sensitized Solar Cell (DSSC). This research was conducted by mixing ZnO and TiO2 as photoanodes. The mixture of ZnO and TiO2 is made by mixing ZnO and TiO2 with a ratio of 1:1, 1:2, 1:3 then dissolved in ethanol. The natural dye used is broccoli extract (Brassia oleracea var. italica). Fabrication is carried out using FTO glass with a work area of 1cm × 1cm. The efficiency results obtained by nanocomposite ZnO/TiO2 (1:1) with an efficiency (η) of 0.07180%, nanocomosite ZnO/TiO2 (1:2) with an efficiency (η) of 0,1555% nanocomosite ZnO/TiO2 (1:3) with an efficiency (η) of 0.1713%. When compared to the efficiency using ZnO/TiO2 (1:1) with TiO2, the efficiency increased by 0.002%. At ZnO/TiO2 (1:2) the efficiency increased by 0.0886%. Whereas at ZnO/TiO2 (1:3) the efficiency increased by 0.1023%.
Performance investigation of convex lens as light collector in low cost solar cooker
Authors: Nurul Amalia Silviyanti S , Santoso
Published: March 2021

People all over the world always cooked every day, the fuel they used neither biomass, fossil fuels or firewood. All of these fuels had several problems, it can cause global warming and some of them nearly extinct. Solar cookers can be used to solve this problem. These cookers use solar radiation as fuel, so it won’t be extinct. The device has been used in some developed country and successfully reduce pollution at a low cost. A minus point of solar cookers is, it was consumed a longer time to cook which caused many people to still prefer conventional cookers. This research tried to reduce cooking time in solar cooker by adding a convex lens as a light collector. The design of solar cooker used a common rectangular with a size 45 × 20 × 12 cm and three reflector panels attached. Various components like reflector, insulation and cover lid have been analyzed to created solar cookers with lower cost and better performance. Solar cooker builds from wood and the inner part is coated with black styrofoam for storage heat. Mirror and aluminum seal has been used as a reflector and the result showed mirror had similar performance with aluminum seal. Convex lens put directly on top of cookers lid, the pot with convex lens reach 5-8° C temperature higher than the one without it.
The Development of HOTS-Basics Teaching Materials to Improve Student Analysis Skills
Authors: Rofiq Muhammad Aunur , Nurwulandari Ika
Published: March 2021

The research aims to develop social studies basic concept teaching materials containing Higher Order Thinking Skills (HOTS) for college students of the Primary School Teacher Education Study Program. This research uses your Research Development (R&D) method and uses an experimental study using a one group pretest-posttest research design. This type of research is a quasi experimental research with one group pretest posttest design. The subjects of this study were students of STKIP Muhammadiyah Blora Primary School Teacher Education Study Program. The data collection instrument used was an assessment sheet for the quality of teaching materials, an analitycally skill test, and a student response questionnaire. Based on data analysis, it can be conclude that: teaching materials based high-level thinking in the basic concepts of social studies course is stated to be practical and gets a response positive from students. Based on the expert’s assessment, teaching materials are declared feasible and valid. Teaching materials have a positive effect on general activities and skills activities high level thinking. The used of teaching materials developed effective in improving the analytically skills of students.