bluuebunny/crossref_metadata_2025 huggingface dataset:
Android-based physics learning-media apps on circular motion
Authors: Wirjawan JVD , Rombe CM , Herwinarso  , Pratidhina E , Untung GB
Published: March 2021

In recent years, the use of Android smartphones in the Indonesia community has increased very fast. Along the way, its use in the Educational aspect rises accordingly. The increase improved significantly during the period of the COVID-19 pandemic burst. While this fact has brought pain and sorrow for many, we looked at it differently. It was a kind of a blessing in disguise. Besides many inconveniences, it also opens plenty of opportunities. Instead of giving up, we prefer to develop android-based physics learning-media apps which is now needed more than before. The increase of the online portion on the learning processes during the COVID-19 pushed our spirit to complete the development of learning media apps. This apps has been tried out by high school students and has gained positive response from its users.
IoT-based Knowledge Repository Design for Supporting Knowledge Integration within the Marine Information System Study Program
Authors: Fitriasari N S , Anzani L , Widiyanto K , Lukman  , Apriansyah M R , Setiawan M A , Asnawiah L P , Shafa M G
Published: March 2021

Knowledge repository is commonly used to store and manage explicit knowledge from knowledge worker. The development of internet of things (IoT) in Industry 4.0 enables the improvement of quality and quantity of knowledge repository. This study focuses on developing IoT-based knowledge repository as a means to support knowledge integration within The Marine Information System Study Program. The study provides architectural designs of a knowledge repository that consists of 5 knowledge domains of marine information system and the design of IoT-based knowledge repository, both of which are based on reviews on relevant literatures and focus group discussion. The solution offered by the current study allows knowledge integration through Community of Practice as the provider and the user of the knowledge.
Mining Social Media (Twitter) Data for Corporate Image Analysis: A Case Study in the Indonesian Mining Industry
Authors: Fahmi D Y , Hartoyo  , Zulbainarni N
Published: March 2021

PT Freeport Indonesia (PTFI) is the largest multinational mining company in Indonesia which frequently becomes trending topics on social media. Since the continuation of the company’s business operations depends on many stakeholders including the regulators, it is important for the company to listen to public opinion in order to develop a solid public relation strategy to maintain its corporate reputation. The objective of this study is to gather insights from social media as input towards a data-driven public relations strategy development. As a case study, we analysed Twitter conversations mentioning PTFI between 20 to 30 August 2020 during which there was a strike in the company. We performed text mining techniques using Drone Emprit system specifically sentiment analysis, bot analysis, and descriptive analysis to get quantitative measures of the corporate image on social media. The findings suggest several improvement opportunities of the current social media strategy of the company including the lack of engagement from local communities, the absence of specific strategy to handle negative sentiment, and the lack of awareness of social media topics not reported by mainstream media. As the implication of the findings, we propose several recommendations including nurturing engagement from employees and local communities, addressing the most influential tweets, and choosing better time periods to get more engagement.
Effect Stretching and Recovery on Delayed Onset Muscle Soreness (DOMS) After Exercise
Authors: Zulaini  , Harahap N S , Siregar N S , Zulfahri
Published: March 2021

DOMS (Delayed Onset Muscle Soreness) is pain that a person feels within 24-72 hours after doing sports activities, and recovery occurs within 4-6 days. Pain is caused by metabolic waste such as lactic acid in muscles and extracellular fluids, irritating the ends of the sensory fibers. An exercise that is not adequately controlled can cause muscle damage, inflammation, and muscle pain. Recovery should be made after each exercise that aims to eliminate lactic acid in muscles. The study aimed to see the effect of stretching and recovery on DOMS after physical activity. This research method is a quasi-experimental research design using a randomized pre and post-test group design. The subjects in this study were students of the Department of Sport Science, Medan State University, who assessed 16 people. The research subjects were randomly divided into two groups. Group P1, namely the physical exercise group without stretching and recovery; Group P2 in the physical exercise group with stretching and recovery. This research will be conducted at the Physiology Laboratory and Physiology Laboratory, Faculty of Sport Sciences, State University of Medan. The results showed that there was an effect of stretching and recovery on the reduction of DOMS after physical exercise.
The Mapping of Ground Water Salinity Using Imagery Data of Aqua Modis Satellite In Kwanyar Bangkalan Area
Authors: Zainab Siti , Handajani Novie , Wibisana Hendrata
Published: March 2021

Salinity is one of the known parameters by water quality researchers as one of indicator to determine the health of water bodies in an area. Whereas soil salinity is an indicator that shows whether the land is suitable for cultivation of rice fields, ponds or for cultivating other crops, or whether the quality of the soil is not good for planting crops. This study aims to map the distribution of groundwater salinity in the Kwanyar Bangkalan area on Madura Island. Since this area is a fairly sloping coastal area, thus there is possibility that the intrusion of seawater will have a significant impact on the distribution of soil salinity. Given the wide coverage area a method that is able to provide solutions in the form of remote sensing technology is used by utilizing Aqua MODIS satellite imagery in the form of a reflectance value calculated by a remote sensing algorithm of groundwater salinity. The results of the calculation are in the form of a thematic map of soil salinity, which statistically has insignificant distribution, which is include by fairlysmall variancevalue with an alpha alpha value 5%, the conclusion is that the use of satelliteimagery is ableto provide updated information in the field of soil salinitymaping forbcoastel area.
Development Interactive Multimedia Based on Web Elasticity and Hooke Law Topic in High School
Authors: Laia Hervin , Rahmatsyah  , Simanjuntak Mariati P.
Published: March 2021

The purpose of this research is to develop interactive multimedia web-based material of elasticity and Hooke’s law in senior high school. This research is a type of research development (Research & Development). The concept used is the Analysis development, Design, Development, Implement and Evaluation (ADDIE). This research is limited to the development stage, namely expert validation. The results of the media expert validation show that the developed web-based interactive multimedia is valid in the display aspect, very valid in the programming aspect, very valid in the usefulness aspect and valid in the language aspect. The results of the material expert validation show that the developed web-based interactive multimedia is valid in the display aspect, valid in the quality aspect of teaching material, valid in the aspect of content, very valid in the aspect of usefulness and valid in the aspect of language. Web-based interactive multimedia is suitable for senior high school physics learning.
Analysis the components of Science, Technology, Engineering, Art and Mathematics (STEAM) in Senior High School Physics Textbook
Authors: Yuni Syafrida , Sahyar  , Bukit Nurdin
Published: March 2021

The purpose of this research was to analyze the STEAM components in physics textbooks for class XI senior high school including balance and rotation dynamics, material elasticity, static fluids, dynamic fluids, heat, kinetic theory of gas, thermodynamics, mechanical wave characteristics, walking waves and stationary waves. Sound and Light Waves, Optical Devices, and Symptoms of Global Warming. This research is a descriptive qualitative research. The subjects of this research consisted of five book publishers. From the analysis with the STEAM indicator, it is found that 60% contains the science category, 30% contains technology, 30% contains the engineering category, 50% contains the art category, 50% mathematics. The results showed that physics textbooks in circulation generally did not emphasize the STEAM approach.
Development of Hypercontent Based Learning Model for High School Students
Authors: Simbolon R. , Saragih A. H. , Situmorang J.
Published: March 2021

In the era of the Coronavirus Disease 2019 pandemic and the development of information technology affecting student learning styles, notably high school students. Researchers in the field of education are competing to find effective and efficient learning models today. This study intends to answer these challenges in a literature review by offering a new learning model based on hypercontent from the synthesis of the ICARE and Blended Learning models. The stages of this new learning model offer an introduction, connection, learning resources, collaboration, independence, celebration, and assessment. The development of learning tools follows the systematic steps of the Borg and Gall development model, with to propose QR code applications on smartphones.
On the sigma chromatic number of the zero-divisor graphs of the ring of integers modulo n
Authors: Garciano A D , Marcelo R M , Ruiz M J P , Tolentino M A C
Published: March 2021

The zero-divisor graph of a commutative ring R with unity is the graph Γ(R) whose vertex set is the set of nonzero zero divisors of R, where two vertices are adjacent if and only if their product in R is zero. A vertex coloring c : V (G) → ℕ of a non-trivial connected graph G is called a sigma coloring if σ(u) = σ(ν) for any pair of adjacent vertices u and v. Here, σ(χ) denotes the sum of the colors assigned to vertices adjacent to x. The sigma chromatic number of G, denoted by σ(G), is defined as the least number of colors needed to construct a sigma coloring of G. In this paper, we analyze the structure of the zero-divisor graph of rings ℤn, where n = pn1
1 P2
n2 …Pm
nm, where m,ni,n2, …,nm
are positive integers and p1,p2, …,pm
are distinct primes. The analysis is carried out by partitioning the vertex set of such zero-divisor graphs and analyzing the adjacencies, cardinality, and the degree of the vertices in each set of the partition. Using these properties, we determine the sigma chromatic number of these zero-divisor graphs.
On the study of local antimagic vertex coloring of graphs and their operations
Authors: Dafik  , Agustin Ika Hesti , Slamin  , Adawiyah Robiatul , Kurniawati Elsa Yuli
Published: March 2021

Arumugam paper studied in et al [4] has inspired us to study the same thing, namely local antimagic edge labeling of graphs. In this paper, we continue to study this type of coloring of some graphs and its operations. By a local antimagic edge labeling, we mean a bijection f from the edge set of G to the natural number up to the number of edges in G such that for any two adjacent vertices v and v’ have different weight, w(v) = w(v’), where w(v) = Σe∈E(v) f (e), and E(v) is the set of vertices which is incident to v. Furthermore, the vertex weight w(v) is assigned as the color on a vertex of G. The local antimagic chromatic number χ1α (G) is the minimum number of colors taken over all coloring induced by vertex local antimagic edge labeling of G.
Local super anti-magic total face coloring on shackle graphs
Authors: Nisviasari R , Dafik  , Agustin I H , Prihandini R M , Maylisa I N
Published: March 2021

We define graph G as a nontrivial, finite, connected graph which contains vertex set V (G), edge set E(G), and face set F (G). We also define g as bijective function that mapping vertex, edge, and face labeling to natural number which starting from 1 until |V(G)| for vertex label, from |V(G)| + 1 until |V(G)| + |E(G)| for edge label, and the last for face label from |V (G)| + |E(G)| + 1 until |V (G)| + | E (G)| + |F(G)|. If there are different weights in any neighboring two faces f1
and f2
has w(f1) = w(f2) for f1, f2
G F (G), so g is considered a local super anti-magic total face labeling. A proper face coloring from local super anti-magic total face labeling caused by assigns the color of face weights to local super anti-magic total face coloring. The minimum number of colors needed for local super anti-magic total face coloring is called The chromatic number of the local super anti-magic total face coloring. γlatf (G) can be denoted as the chromatic number of the local super anti-magic total face coloring. Encryption keys can possibly be created from the result of local super anti-magic total face coloring that can be used to construct a modified Affine cipher and Cipher Feedback Mode. As a result, we have one the orem for the chromatic number of local super anti-magic total face coloring and two algorithms for establishing super anti-magic total face coloring on shackle graphs in Cipher Feedback Mode.
Detection system of facial patterns with masks in new normal based on the Viola Jones method
Authors: Jauhari A , Anamisa D R , Negara Y D P
Published: March 2021

Covid-19 is something that was never expected, it can turn into an endemic virus in the community. There is a possibility that this virus will not be completely destroyed. This makes the world and Indonesia in an uncomfortable position. Two months with Social Distancing conditions, the Government of Indonesia has been preparing to roll back the sluggish economic wheel as a result of the implementation of Social Distancing. Therefore, the Indonesian people must live in peace with Covid-19 until the discovery of an effective vaccine. This condition is called new normal. This study designed a detection system of facial patterns using masks during the pandemic based on Real-Time Raspberry. The purpose of detecting face patterns by using a mask is to find out if there are masked faces in the image. Although it seems easy to do by humans, it turns out that this detection system is difficult to do without the help of a computer to process facial recognition because there are some difficulties related to location, point of view, light, and occlusion. This research has implemented a detection system using the Viola Jones method. Viola Jones method is a method to get fast, accurate and efficient results in face detection on images. This study using the Viola Jones method to adjust the threshold value, and form the Cascade Classifier in determining the face area in the image. This training can be evaluated the accuracy of the system by modifying the parameter values in the Viola Jones method so that this design can produce the highest accuracy for face images using masks and low accuracy for face images without using masks. From the results of trials with 100 face samples, the accuracy percentage is 90.9% and it takes a relatively short time to detect faces using a mask that is on average 15 seconds per sample tested.
MCGDM for selection of OSN participants using integration AHP and MOORA methods
Authors: Kustiyahningsih Y , Sophan K , Ummah N R , Purnama J
Published: March 2021

The Olympics of Science National (OSN) is one of the government’s efforts to improve quality of education. The many indicators of measurement and decision-making involved in process of selecting prospective OSN participants required a decision support system for selection of prospective participants to make it easier and transparent. Indicators in this assessment are academic grades, skills grades, class rank and absenteeism. The science department, academic grades and skills scores have mathematical, chemical, physical, biological sub-criteria. There are geography and economic majors in social science. The method used in the decision support system is Analytic Hierarchy Process (AHP) Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) integration based on group or Multi Criteria Group Decision Making (MCGDM) with geometric mean aggregation. Based on research that has been done with a CR less than 0.01, the accuracy obtained is for physics 89.7%, biology 92%, mathematics 90%,chemistry 93.7%, geography 93.8%, and economics 86.6%. The highest accuracy is in Geography
Credit risk analysis using support vector machines algorithm
Authors: Putri N H , Fatekurohman M , Tirta I M
Published: March 2021

Credit risk or also known as bad credit risk is defined as the risk that occurs due to the inability of the customer to repay the loan and the interest within a certain period of time. Bad credit can be prevented by selecting proper customers during the loan application process so as not to give losses to the Bank. This research aims to analyze credit risk using machine learning methods. One of the machine learning algorithms that can be used for data classification is Support Vector Machine (SVM). The concept of SVM is to find optimal hyper plane with maximum margin to linearly separate the data set into two classes. The dataset were taken randomly from 2015 to 2018 at Bank XX, as many as 610 data. Dataset was divided into two parts along with percentage of the training data 80% and the testing data 20%. The variables used were gender, plafond, rate, term of time, job, income, face amount, warranty, and loan history as independent variable as well as credit status as dependent variable. The testing of SVM algorithm used linear, polynomial, Radial Basis Function (RBF), and sigmoid kernel obtained confusion matrices with accuracy respectively 0.9262, 0.9508, 0.8934, and 0.8361. Meanwhile, the AUC values were 0.9129, 0.9419, 0.9051, and 0.8285. The SVM model with polynomial kernel is the best model of the four models because it has the highest accuracy and AUC value. Thus, this model can be used to classify prospective customers into good credit or bad credit class with sufficiently high accuracy so as to help banks reduce the risk of bad credit.
The implementation of Blockchain framework in MOOCs to support a freedom of learning in Indonesia
Authors: Febrinanto F G , Dafik  , Nisviasari R
Published: March 2021

A freedom of learning program has been released by the Indonesian Ministry and Culture this year 2020. There are three ways for students to earn their credits, namely take the subject course in face-to-face based class, virtual based class or under Massive Open Online Courses (MOOCs). MOOCs is a model that is developed to help people to learn about certain skills through the online platform, without any limitation in the audience. MOOCs aim to enhance broad collaboration between individuals in creating learning environments that have high scalability and can be accessed by anyone and anywhere. The complexity arises when students undertake a subject course through MOOCs, how to certify the completion of their program in which the certification can be gained easily, and the last how secure the obtained certificate? Blockchain technology can help to improve the quality of MOOCs by providing control of academic records as evidence that someone has completed a learning process on MOOCs. Academic records generated will be stored in one place forever and safely stored in the Blockchain environment. This article will explore how the possible to implement the Blockchain framework in MOOCs to support a freedom of learning in Indonesia.
The effects of covid-19 in learning: effective and efficient online learning models of mathematical statistics and real analysis from the students’ perspective
Authors: Subakri  , Annizar A M
Published: March 2021

An effective online learning model that does not burdensome students is a hot topic of discussion in the current pandemic era.This research is a qualitative descriptive study that aimed to know the online learning models of Mathematical Statistics and Real Analysis that are effective, efficient, and not burdensome from the student’s perspective. The subjects of the research were all students who are studying Mathematical Statistics and / or Real Analysis,namely 63 students of Mathematical Statistics and 52 students of Real Analysis. The entire research subjectswere gave a survey through the Google Form to find out online learning models that best suits students. Then the survey results were analyzed based on online learning models with the largest selection percentage. The results showed that online learning models of Mathematical Statistics and Real Analysis courses that are effective, efficient and not burdensome for students is a learning model combining YouTube and WhatsApp media. Based on follow up interviews, there are many reasons why this model was chosen from other learning models such as video conferencing, one of the reasons is because this media needs less quota and is interspersed with question and answer discussions with the media that are commonly owned by students. Even when students are faced with situations where they will be given unlimited quota, students in both classes still consider the most effective and efficient learning model is to combining YouTube and WhatsApp.
The influence of STEM (science, technology, engineering, and mathematics) learning approach on students’ learning outcomes on newton’s law concept
Authors: Utami N S , Nurlaela A
Published: March 2021

STEM (Science, Technology, Engineering, Mathematics) is an approach that integrates science, technology, techniques, and mathematics in learning. This study aims to determine the effect of the STEM learning approach on students’ learning outcomes on the Newton law concept. This research was conducted at SMA Darussalam Ciputat School from March 2020 to April 2020. In this study the experimental class was class X IPA 1, while the control class was X IPA 2. Determination of the sample based on this study was using purposive sampling technique. The research method used is a quasi-experimental design with nonequivalent control design. The Data from the instrument were analyzed quantitatively, producing hypothesis test data against post-test data using the Mann-Whiteney test at α = 0.05 obtained sig values. (2-tailed) of 0.00 with the conclusion that is H
0 rejected and H
1 is accepted.The learning outcomes of students in the experimental class increased higher (N-Gain 0.68) compared to students in the control class (N-Gain 0.19). Students are interested in STEM learning approach (78.25%).The STEM learning approach can be used as the main choice in implementing physics learning so that it can improve student learning outcomes.
Artificial Immune System analysis on Route Construction distribution of gas cylinders using the AINet Algorithm
Authors: Nas Chairun , Putra Nursaka , Nengsih Yeyi Gusla , Syafrinal Ilwan
Published: March 2021

As a distributor of gas cylinders, the company will make every effort to distribute the products to customers effectively. In the distribution of gas cylinders, there are always problems in terms of saving distance and time in distribution. For this reason, an analysis is needed to optimize the distribution using the Artificial Immune System (AIS) method. The purpose of this research is to optimize the distance and time of distribution of gas cylinders by using the existing algorithm in AIS, namely the Artificial Immune Network Algorithm (aiNet). In this study, the distribution is limited specifically to the city of Cirebon. Furthermore, the AINet algorithm is analyzed for 20 distribution points using 3 vehicles. The results of the aiNet analysis show that the optimization within the distance is 1.28% and the time optimization is 0.37%. So using the Artificial Immune System with the AINet Algorithm, the distance and time can be optimized in the distribution of gas cylinders.
Exploring Perceived Fits, Attitudes, and Self-Efficacy: A case of Digital Natives’ Online Learning Behavior
Authors: Muchsini Binti , Siswandari  , Joyoatmojo Soetarno , Wiranto
Published: March 2021

Some pre-service teachers who are studying give less effective perceptions regarding the implementation of online learning during the Pandemic period. Pre-service teachers today belong to a generation of digital natives (DNG) who are very familiar with technology and have unique characteristics, so it is very important to analyze their online learning behavior to design effective online learning. The purpose of this study was to analyze the online learning behaviors of digital natives reviewed from perceived fits, attitudes, and self-efficacy. Survey research was used to analyze the phenomenon of DNG’s online learning behavior and identify the factors that influence it. The instrument in the form of a questionnaire consists of 49 statement items on a scale of 5. Of the 152 polls collected, only 148 were valid. Quantitative and qualitative descriptive analysis was used for data analysis. The results of this study showed that all components of DNG’s online learning behavior had relatively high average scores except the interaction component through online discussion forums. The causes of low interaction through online discussion forums were DNG less active, lack of enthusiasm, easy to give up, difficult to move on, and network constraints. The conclusion of this study was an in-depth analysis related to perceived fits, attitudes, and self-efficacy producing phenomena and are variables capable of explaining the variables of DNG online learning behavior. The results of this study can be used as the basis for further research, namely related to the development of online learning models for the DNG.
The Teachers Readiness of Scientific Collaborative Learning Model In Elementary School (Exploration study at Elementary School Teacher of Surakarta)
Authors: Handini Oktiana , Hermoyo Bambang
Published: March 2021

The Research purpose was to determine The Teachers Readiness Of Scientific Collaborative Learning Model in Elementary School (Exploration Study at Elementary School Teacher of Surakarta .The research method used survey technique of quantitative research. The population were 80 Elementary School teachers in Surakarta and the sampling technique was purposive random sampling., consistst of Tempel Elementary School, Mojosongo 3 Elementary School, Bumi 1 Elementary School, Islam Bakti 1 Elementary School and Gandekan Elementary School. The data collection was questionnaire that to know the Teachers Readiness Of Scientific Collaborative Learning Model. The questionnaire of Teachers Readiness Of Scientific Collaborative Learning Model were dimensions, e.i curriculum concept understanding, teacher responsesiveness, responsibility, teacher self oriented, teacher perspective and teacher self confidence.The result revwal that The Teachers Readiness Of Scientific Collaborative Learning Model in Elementary School only slightly more than general, finding indicates that curriculum concept understanding needed intensive trainning in order to improve effectively learning process in classroom.
Research Trends of Discovery Learning from 2015 to 2019: A Bibliometric Analysis
Authors: Wicaksono Anggit Grahito , Sunarno Widha , Ashadi  , Adi Prayitno Baskoro
Published: March 2021

Discovery learning is an alternative learning model that can improve the science learning process. Discovery learning research has developed rapidly in recent years. Discovery learning research has produced many theoretical and empirical findings. Many trends and problems have emerged, highlighting the complexities and dynamics of research in discovery learning. Therefore, this study aims to determine current trends regarding discovery learning. This study used a bibliometric analysis approach based on the Scopus database. Based on the title, abstract, and keywords, this research succeeded in obtaining 634 documents from 2015 to 2019 for further study. This study uses bibliometric standards as a measure to report research results such as year of publication, country/territory of publication, type of document, type of source, subject area, author, affiliation, keyword analysis, and author collaboration analysis. The results showed that the publication of discovery learning has increased significantly since 2015, although it had decreased in 2017. The increase in the number of discovery learning research shows the importance of applying discovery learning in the learning process. The implications of this research for the development of discovery learning in a variety of frameworks, although much discovery learning research has been conducted.
Demonstration of Figure Character Media to Introduce Adjective in English Learning for Children
Authors: Sholihah Husna Imro’athush , Nurlaily Vivi Astuti , Komariyah Siti , Cahyaningsih Miya Nur
Published: March 2021

This research is aimed to describe about the using of Figure Character media to introduce adjective in English learning for children to increase the students of teacher elementary program of STKIP Muhamadiyah Blora exploring media in English learning. This research happen is caused by the use of media in English learning is low in Blora area, so those reason became a motivation to make English learning process better and more effective. This research is descriptive qualitative research in case study method. Qualitative research is explained in words, phrases, sentences or paragraphs. The collecting data method uses questioner and interview. The two methods to collect variaty answers in the use of Figure Character media. Demontration mastery to attract the students is chosen and consulted to the expert. The result of this research is the using of learning media Figure Character to introduce adjective to the children in English learning can improve the students’ interest and spirit. Besides, the teacher become easier to teach the mastery by using they own learning media. The media usage can build an interesting learning process for the teacher and the students. The informans of this research are agree that using Figure Character media can ease the teacher to introduce adjective to the children as elementary students with high entusiasm. This research has motivated the teacher candidate to use learning media.
Primary teachers’ perspectives on teaching critical reading incorporating multimodal text
Authors: Amalia Nur , Prayitno Harun Joko , Utami Ratnasari Diah , Saputri Dwi Yuniasih
Published: March 2021

This paper explores a group of primary teachers’ knowledge and perspectives about multimodal text and its usage in teaching critical reading skills for upper primary students in Surakarta, Indonesia. This case study explores a group of primary teachers’ knowledge and perspectives about multimodal text and its usage in teaching critical reading skills for upper primary students (students of grades 4, 5 and 6) in Surakarta, Indonesia. A focus group discussion (FGD) was conducted among 30 primary teachers and 10 school principals by using open-ended inquiries. The discussion administered several topics related to teachers’ perspectives about multimodal texts, teaching critical reading instructions, and the application of multimodal text in upper primary learning. The results of the research shows that text-based learning in the primary curriculum was mostly using written text with minimum illustration and often was only supported by a video from the internet. Most participants confirmed that they develop upper primary students’ critical reading skills by asking students to retell, finding key information, discussing the main ideas, and mostly answering questions about the text they read. The conclusion of the research is that the implementation of multimodal text in upper primary learning was limited to written text with illustrations, posters, advertisements, and video or animation videos from the internet. The implication of this research urges teachers to use multimodal texts to enhance critical thinking skills.
Profile of Junior High School Science Textbooks: Fulfillment of the Higher-order Thinking Skills component
Authors: Trisnayanti Y , Ashadi  , Widha  , Masykuri M.
Published: March 2021

This study aims to analyze the fulfillment of HOTS components in elements such as learning indicators, materials, activities, and competency test questions in science textbooks for Class VII Semester 2. The research method uses mixed methods with an explanatory design starting from the collection and analysis of quantitative data followed by the collection and analysis of qualitative data that is built on the initial results of quantitative data. The material used to analyze HOTS fulfillment of “The Interaction of Living Things with the Environment” with Basic Competencies of 3.7 and 4.7. There are 27 identified components of HOTS fulfillment that are based on 8 learning indicators, 12 learning activities, and 7 competency test questions. With the results of HOTS fulfillment recapitulation the percentage of HOTS cognitive level at the analysis level (C4) 66.67%, the evaluation level (C5) 3.70%, and the creative level (C6) 11.11%. While the HOTS development matrix consists of 56 levels with high criteria of 30.36%, medium criteria of 41.07%, and low criteria of 28.57%. HOTS occurs when students are involved so that through a series of HOTS activities by determining learning sources in textbooks and appropriate learning arrangements, junior high school students can develop higher-order thinking habits.
Comparison of Nanocomposite ZnO/TiO2 Composition Dye-Sensitized Solar Cell (DSSC) with Natural Dye Leaves of Green Mustard (Brassica rapa)
Authors: Kurniawan Deny , Cari C , Supriyanto Agus
Published: March 2021

ZnO and TiO2 are semiconductor materials used to make DSSC. In this research Dye-Sensitized Solar Cell (DSSC) manufacturing by mixing ZnO and TiO2 materials. ZnO is made by synthesis using the sol-gel method with a mixture of zinc tetrahydrate (Zn(NO3)2.4H2O), ammonium hydroxide (NH4OH) and polyethylene glycol (PEG). In this research, the dye used was extracted leaves of green mustard (Brassica rapa) and nanocomposite ZnO/TiO2 with ratio (1:1, 1:2, 1:3). Fabrication using FTO glass with a work area of 1cm × 1cm obtained the results of the efficiency of nanocomposite ZnO/TiO2 (1:1) with an efficiency (η) of 0.0755%, nanocomposite ZnO/TiO2 (1:2) with an efficiency (η) of 0.1935%, nanocomposite ZnO/TiO2 (1:3) with an efficiency (η) of 0.2098%.
Implementation of Educational Robotic into Teaching-Learning Process to Enhance Students Skills in the Science and Technology
Authors: Huda Samsul , Zuhrie M Syariffudien , Buditjahjanto I Gusti Putu Asto , Nurlaela Luthfiyah
Published: March 2021

The educational development in the sector of science and technology is needed to anticipate technological advances in the challenges and changes of the Industrial Revolution 4.0. The society of education must prepare its students to be able to follow these challenges and changes by using a learning process that uses robots or what is known as Educational Robotics (ER). The objectives of this study are to identify what kinds of skills can be trained in the learning process using ER and to evaluate what types of robots can be applied to the learning process in the sector of science and technology. The research method is the Comprehensive Literature Review that has three phases that are 1) exploring phase, 2) interpretation phase, 3) communication phase. The research results showed that ER can be used for the learning process in developing the skills needed by science and technology education. The type of robot that can support the ability of students’ skills is an assembled robot type that must be composed at the beginning to learn a robot by the students. Meanwhile, the built-in robot type is more limited in its usefulness for the teaching-learning process because it is more specific.
Analysis of High School Students’ STEM Literacy and Problem-Solving Skills in Chemistry
Authors: Sari Nila Asmila , Mulyani Sri , Hastuti Budi , Indriyanti Nurma Yunita
Published: March 2021

In 21st century learning, most students are expected to have good critical thinking and problem-solving skills. According to this goal, the education system should have a learning method that results in improving critical thinking and problem-solving skills among students. The purpose of the study is to analyse the level of STEM literacy and problem solving of students in chemistry materials. This study involved seventy students in grade twelve of senior high school in Sragen Regency, Indonesia. The research design employed a qualitative method. The distribution of questions given in the form of open-ended question type consists of six cases in ten items. Such cases include three components of literacy: science literacy, mathematical literacy, technology-engineering literacy, and problem-solving. The findings show that most students are lacking STEM literacy skills and the ability to solve problems. The ability of STEM literacy and problem-solving is deficient. This research shows that students are unfamiliar with STEM literacy and problem-solving in chemistry. This result is not following the 21st-century learning. Therefore, it is critical to put a particular action in improving STEM literacy skills and problem-solving among students in the Indonesia education system.
Preliminary Studies of the Development of Local Wisdom-Based Biotechnology Module for Biology Students
Authors: Desti  , Fitmawati  , Yulis Putri Ade Rahma , Isda Mayta Novaliza
Published: March 2021

The development of the local wisdom-based Biotechnology module is one of the important factors that needed to support the ability of Biology Students and their knowledge about their mascot flora. This research was aims to find out about the preliminary studies of the research about the development of a local wisdom-based Biotechnology module for Biology Students on the topic of molecular analysis and the application of them for some aspects of studies. The type of the research about the development of module is Research and Development (R & D) model which has been carried out from the problem studies to the initial investigation data stages. The results showed that based on the results of the curriculum analysis and Semester Learning Plan (RPS of Biotechnology) that had been implemented, the topics in biotechnology learning consisted of ten topics in learning. The results of interviews conducted with lecturers in the Biotechnology subject also revealed that there were several obstacles in the implementation of the Biotechnology course at the Riau Islamic University Biology Education Study Program, one of which was the lack of student references to study biotechnology. Based on the student problem questionnaire, it is known that students do not have a local wisdom-based biotechnology module yet (about 100%). The results of the student need analysis questionnaire showed that the students strongly agreed with the development of the Biotechnology module based on local wisdom (with a percentage of 100%). In conclusion, it is necessary to develop a module for Biotechnology subjects based on local wisdom for biology students to help students understand the learning material in the learning process.
Mathematical Proficiency Profiles of Elementary School Student: Preliminary Study
Authors: Saputro Purnomo , Wahyudin  , Herman Tatang
Published: March 2021

The purpose of this study was to analyze the mathematical proxies of elementary school class students in Tasikmalaya. This research uses a descriptive-qualitative approach with an exploratory method. The subjects of this study were 100 elementary school students in Tasikmalaya City who were selected using purposive sampling. The data collection techniques used were test techniques, interviews, questionnaires, and document studies. The data analysis technique of this research uses an interactive analysis model with the stages: data validity, data collection, data reduction, data presentation, and drawing conclusions. The results showed: (1) 66.4% of students had mastered the understanding of the concept of fractions; (2) 62.33% of students have mastered the fluency of the procedure; (3) 64% of students have mastered strategic competencies; (4) 62.5% have mastered productive dispositions; and (5) as many as 74.33% of children’s productive dispositions can be easily seen. The conclusion of this research is the mathematical proficiency of elementary school students in Tasikmalaya must be improved immediately. Based on the results and conclusions of the research that has been done, the theoretical implications of this study strengthen the theory which states that mathematical proficiency are very important to be developed and have an impact on students.
Design and Build the Booking Queue Application Android Based SOOSOO Resto
Authors: Pandowo H , Tohari H , Amir V
Published: March 2021

Competition in the culinary business is very fast as it is currently encouraging the development of information technology to provide convenience services for consumers. Information technology is needed by all types of companies, both for-profit and non-profit companies. In the field of consumer service to attract more interest in buying, information technology is used to help facilitate transactions, especially in terms of ordering. The purpose of this research is to design an application that can be used in the process of ordering transactions and executing queues for ordering culinary products. The application is designed using Android Studio with SQLServer database. The output obtained includes an android-based application that is used independently by consumers.
Effect of Temperature on Gasification of Biomass Using Zeolit
Authors: Porawati H , Kurniawan A , Yuliwati E
Published: March 2021

Biomass gasification converts into syngas through the gasification process is promising for renewable energy utilization. Although gasification is a sustainable and environmentally-friendly technology for value-added utilization of biomass, yield percentage is the major problem during biomass gasification. An optimized gasifier and highly active catalyst were proved to be effective for biomass production. Furthermore, the decomposition pathway was also important to advance the gasification reactors and catalyst design. This paper summarized the fundamentals, such as gasifier types, zeolite catalysts, and reaction and deactivation mechanisms. This review also sheds light on other excellent catalysts, effective gasifier, and catalyst reaction mechanisms are also discussed in detail. At last, the paper ends with a conclusion and a prospective discussion of the lab-scale research. At the contact time of 240 minutes, with a column height of 30 cm, at a temperature of 450 oC, the concentration of syngas promise well.
Morphological and Permeability Fraction of Mixed Matrix Polysulfone Membrane on Batik Palembang Wastewater Treatment
Authors: Yuliwati E , Elfidiah  , Melani A , Porawati H
Published: March 2021

High performance polysulfone (PSf) membrane has been prepared for treating of batik palembang wastewater. Many investigations attempted the use of polysulfone (PSf) membranes to filtrate dilute contaminant in textile wastewater. The matrix membrane is a mixture of PSf which is produced by adding inorganic materials to obtain a polymer that functions to manufacture the membrane by increasing hydrophilicity and impurity resistance. MMM were fabricated from a dope solution containing PSf/LiCl/DMF at different additives composition. Antifouling properties of membranes could be enhance with 0.0 - 10 wt.% LiCl that has been added into dope solution. Pure water permeation flux analysis (PWP), AFM and FESEM. From the results of research on FESEM, the PSf / LiCL membrane showed a fairly symmetrical cross-sectional structure containing two layers. The layers of the tiny finger-like structure on the edge of the perforated fibers and the holes like the larger fingers are mixed with the macrovoid layer in the middle section. PWP flux is not proportional to mean rough outer surface but higher water permeation. Therefore, PSf/LiCl exhibited a better performance that resulted a much lower fouling tendency than the naked membrane in batik Palembang wastewater treatment.
Smart Glove for Deaf
Authors: Arrosida H , Sudaryanto A , Setyawan S B
Published: March 2021

Smart glove is used to help deaf to interpret their communication. This tools is an interesting topic to be explored because its need improvement for the feature that user friendly and easy to used. In this paper, flex sensor and accelero-gyro is used. By using this tools, all of the sign language will be interpreted based on system database that registered before. Then, all of data will be displayed as text in the smartphone. The results prove that the proposed method can interpret the language system correctly.
Power Factor Correction Using Programmable Logic Control Based Rotary Method
Authors: Prasetyo Y , Hidayatullah N A , Artono B , Danu S B
Published: March 2021

The power factor value of an induction motor is low. This power factor value is due to the large reactive power. Therefore, it is necessary to add capacitors to improve the power factor. The addition of this capacitor uses a capacitor bank with the rotary method. This rotary method is expected to be able to improve the low power factor. The method used is to determine the set point of the desired power factor. Then this method will add the value of the capacitor bank if it does not meet the set point. If it exceeds the set point value, this method will reduce the value of the capacitor bank. For programming this method using Programmable Logic Control. Programmable Logic Control can perform real time monitoring. The results of the test method showed that the capacitor bank worked to improve the power factor optimization. From the power factor of the drilling machine 0.54 to 0.86 in the test. Further developments can make capacitor sizes smaller and more varied in order to optimize the power factor.
Design of Adaptive DC Power Supply with Microcontroller Based Cuk Converter Circuit
Authors: Ningrum H N K , Prabowo G , Haryo R J K , Winarnoand B , Safi’i M
Published: March 2021

Nowadays, the need for equipment sourced from DC power supplies is increasing. One of the DC–DC converter topology that can be DC source isCukConverter. Currently, we need an adaptive power supply that can generate current and voltage according to the power required by the load automatically. In this research, the Cuk-Converter circuit is driven through the Arduinonano as a pulse generator and circuit control system. The microcontroller has set a minimum current of 520mA to charge the battery. The test was carried out with a 12 Volt DC battery source, the output of the Cuk-Converter was a 3.7 Volt battery with a capacity of 50,000 mAh and 3Ah, and a 12 Volt 3 Ah accumulator. The output of the Cuk Converter is set in the range 2-19 Volt DC. The results show that the Cuk-Converter can charge the test battery with a minimum current of 520 mAh and a duty cycle in the range of 27-50%. This result performed the average error of the circuit and calculation was 13.9%.
Design the Implementation of Monitoring Approach Light Runway Based Microcontroller and SMS A Gateway on the International Airport
Authors: Kustori  , Faizah Fiqqih , Suhanto
Published: March 2021

Their technician in monitoring approach light at the international airport, because the approach light far from power house and the location is difficult to reach especially on approach light. Their final task, it uses Microcontroller as a media control and sms the gateway as communication media, methods to display results of monitoring using wonderware to be shown on a computer or a pc and for communication between pc or computer with Microcontroller using cable usb to serial. The results showed for monitoring flame light die approach could use pc or computer and technicians this method performance becoming more efficient.