International Journal of Innovation, Creativity and Change

Volume 5, Issue 3, August 2019.  ISSN 2201-1323

Special Edition: Science, Applied Science, Teaching and Education  

Part 1: Pages 1 to 287

 

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The effect of the Flipped Classroom Model on the language skills of primary school students

Sri Sukasih1, Zamzani2, and Haryanto3

Doctorate Program, Universitas Negeri Yogyakarta, Indonesia

Faculty of Letters, Universitas Negeri Yogyakarta , Indonesia

3Faculty of Education, Universitas Negeri Yogyakarta, Indonesia

Email:  sri.sukasih@student.uny.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

This research aimed to describe the language skills of primary school students through the application of the Flipped Classroom Model, and to investigate the effect of the Flipped Classroom Model on the language skills of primary school students. This research used a quantitative approach through a pre-experimental design. It was conducted at three primary schools in the Regency of Semarang, Central Java, Indonesia. The research sample consisted of 82 students, who were selected from the whole student population at the schools. The data was collected by administering a language skills test. The data analysis techniques used were the descriptive statistics analysis technique and the inferential statistics analysis technique through a t-test. The research results show that students’ language skills before the application of the Flipped Classroom Model was within the fair category (M = 71,8 and SD = 6, 47), while after the application, it was in the high category (M = 80,9 and SD = 4, 59). The results of the inferential testing shows that the Flipped Classroom Model could significantly improve primary school students’ language skills. Page 1 to   19

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The Correlation between Students’ Grammar Mastery and Vocabulary Mastery toward Students’ Translation Accuracy on Recount Text

Akhmad Multazim, Renovil Dramestika and Lutfy Fajar Hudayah

Universitas Ahmad Dahlan, jl. Pramuka no 40, Yogyakarta 55161, Indonesia

Email:  jaymultazim@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

Educational development improves from time to time. Students are not only dealing with one language to study but also at least two languages; national and international languages. Translation plays an important role in learning a language. This study aims to find the relation between students’ grammar and vocabulary mastery toward students’ translation accuracy on recount text in which grammar and vocabulary are two supporting skills of language. This study used a questionnaire to measure students’ grammar and vocabulary mastery and translation accuracy. Three raters helped measure the translation accuracy. There is positive and significant correlation between students’ grammar mastery ,vocabulary mastery and students’ translation accuracy on recount text at Active Conversation Class of Swift English School, with a coefficient correlation of 0,9392 and the degree of significant of 26,1862. Page 20 to 38

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Modulating the Multi-Depot Vehicle Routing Problem Model with Time Windows using Occasional Driver

Damaris Lalang1, Samuel Rex Mulyadi Making2, Imanuel Yosafat Hadi Manapa3

1Department of Mathematics, Universitas Tribuana Kalabahi, 85812 Kalabahi 

2Mathematics Education Department, STKIP weetebula, 87254 Sumba Barat Daya

3Department of Mathematics, Universitas Tribuana Kalabhi, 85812 Kalabahi

Email: dhamar.ipb14@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it ; rexmaking@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it , manuelmathematics@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

 

 

Distribution is the process of distributing goods from producers to consumers. This distribution process requires operational costs and costs when using vehicles to distribute goods. In the process of distribution, all producers must expect to be able to minimize costs. Therefore, the company must be able to find a solution to minimize the costs incurred. One such solution is by using the services of the driver occasionally. Occasional drivers, referred to here, are ordinary people, who are not from shipping companies, who have vehicles that are not fully used in everyday life; these vehicles can be used to deliver goods from producers to consumers. There are several problems that are often faced in the distribution of goods including the determination of routes that can minimize total costs. In determining the route, each producer has different constraints, such as the number of vehicles used, vehicle capacity, consumer demand, distance between consumers, and there are also cases where consumers want to be served according to the time windows they have. The problem of determining the optimal route can be solved by a model in optimization, namely Vehicle Routing Problem (VRP). This VRP is modelling in optimization that aims to optimize the ability to minimize distribution costs. This scientific work aims to formulate the problem of distribution in model multi-depot vehicle routing problem (MDVRP) that has a time limit by using the services of the driver occasionally to minimize total costs. The MDVRP settlement, with occasional drivers, has more than one depot that acts as a company or producer of a product. The results of this model formulation show that this model can be used to minimize distribution costs. Page 39 to 60

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Ideation Meaning in the Opinion Forum of the Jakarta Post: A Metafunctions Analysis

Pikir Wisnu Wijayanto

Telkom University, Bandung, Indonesia

Email:  pikirwisnu@telkomuniversity.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

This research aims to identify the meaning of sentences, in detail, from a discourse semantics’ perspectives, through metafunctions analysis of ideation systems introduced by James Martin and David Rose (Martin & Rose, 2003). This research makes use of qualitative and descriptive methods with data obtained from the "Opinion Forum" of the Jakarta Post published on February 18th, 2019, entitled “Islam Nusantara: A Soft Power Diplomacy” written by Arifi Saiman. According to a metafunctions analysis of the phase ideation sequence and ‘circumstances’ process, the sentences expressed the writer’s opinion, expectation, and suggestions with regards to Islam Nusantara concepts. In the sequence of activities and descriptions, each clause mostly expressed what they act, speak or feel. There were also some circumstantial processes that have been proven by a ‘wh-items’ in this article, such as ‘doing’, ‘saying’, and ‘sensing’. These are used to express the writer opinion, suggestion, and high’ expectation to the Islam Nusantara concepts as an extension of its now well-known soft power diplomacy of organizing interfaith dialogues. Page 61 to 93

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Higher-order Thinking Ability among University Students: how does Culture-based Contextual Learning with GeoGebra affect it?

Damianus Dao Samo

Mathematics Education Departement, Nusa Cendana University

Email:  damianus.damo@staf.undana.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

The purpose of this research is to describe how culture-based contextual learning with GeoGebra (CBCLG), culture-based contextual learning (CBCL), and traditional learning improve higher-order thinking (HOT) ability among students. This research is a quantitative study with a quasi-experimental design. Samples are the First-Year students of Mathematics Education Department at Nusa Cendana University which consists of 86 students, divided into three groups: a culture-based contextual learning activity with GeoGebra (CBCLG) consisting of 29 students; a group of culture-based contextual learning (CBCL) consisting of 29 students, and a group of traditional learning (TL) consisting of 28 students. The data was analyzed by Kruskal-Wallis test, Mann-Whitney U Test, t-Test, MANOVA and one-way ANOVA. The resulst of the research shows that there is a difference (of average) in the ability of higher-order thinking among the three learning groups. Culture-based contextual learning with GeoGebra (CBCLG) has a higher enhancement. There is a significant interaction between the three learning groups and HOT abilities. CBCLG and CBCL have a significant effect on students’ HOT ability. Page 94 to 115

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Contextual Teaching Learning with Discovery Methods to Increase Motivation, Creativity, and Outcomes Learning science Students in elementary school

Azainil1, Jumini2, Usfandi Haryaka1, Laili Komariyah1, and Ramadiani3

1 Faculty of Teacher Training and Education Mulawarman University, Indonesia

Teacher of SDN 002 Samarinda Ulu, the city of Samarinda, Indonesia

Faculty of Computer Science and Information Technology Mulawarman University, Indonesia

Email:  azainil@fkip.unmul.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

The purpose of this Classroom Action research is to increase motivation, creativity and learning outcomes of science by using the Discovery Contextual Teaching Learning method. This research was conducted at SDN 004 Samarinda Ulu. The research subjects of class VI students were 33 students. The study was conducted in 3 cycles; each cycle consisted of 4 stages. The technique of collecting data used observation, tests, and documentation. Data analysis techniques used modes and percentages. The results showed that the use of Contextual Teaching Learning with the Discovery method could increase motivation by the percentage of cycle I: 62.00%, cycle II: 78.00% and cycle III: 82.00%. The Contextual Teaching Learning method Discovery increased student creativity with a percentage of Cycle I: 60.00 %, cycle II: 81.66%, cycle III: 96.00%. Science learning outcomes using the Contextual Teaching Learning Discovery method have increased. This can be seen from the number of student completeness and the percentage of completeness, Cycle I completed 14 students percentage 42.42%, cycle II completed 22 students percentage 66.66% cycle III completed 29 students percentage 87.87%. The learning outcomes of science, using the Contextual Teaching Learning Discovery method, could be seen from the number of student completeness and the percentage of completeness. The conclusion of this study showed that there is an increase in motivation, creativity and learning outcomes, of science students, using the Discover Contextual Teaching Learning method. Page 116 to 132

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An Analysis of Students’ Errors in Resolving The Problems In The Topic Opportunity

Tetty Natalia Sipayung and Ribka Kariani Sembiring

Dept. of Mathematics Education, Catholic University of Saint Thomas, Indonesia

Email:  tettysipayung83@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

The purpose of this study is to find out the types of student errors that exisist in solving problem related to opportunities material. The subjects in this study were class IX students of the Junior High School of HKBP LubukPakam. The method of this study was descriptive with a qualitative approach through a case study. Based on the data analysis, the following results were obtained (1) No students experienced reading errors; (2) 25 students experience reading comprehension difficulties; (3) Seven students experienced transformation errors; (4) One student experienced a weakness in process skill; (5) Six students experienced encoding errors. The factors causing students errors consist of, students not understanding the explanation and purpose of the problem, students were confused which formula to use, students do not understand the procedure of problem solving, students were not careful in calculations or the process of problem solving. Pages 133 to 146

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Guidance and Counseling Teachers’ Competency Perspective in the Era of Industrial Revolution 4.0

Putu Agus Indrawan and Andriyani E. Lay

Guidance and Counseling Study Program, Faculty of education and Teacher Training, University Of Nusa Cendana

Email:  putu.indrawan@staf.undana.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it andriyanielay@staf.undana.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

This study discusses the competencies that must be owned by guidance and counselling teachers in schools in this era of industrial revolution 4.0. A guidance and counselling teacher is trained in higher education to fulfil four competencies and make them integrated. The competencies are 1) pedagogical competency, 2) professional competency, 3) social competency, and 4) personality competency. In this era of industrial revolution 4.0, guidance and counselling teachers need a change of perspective in giving service to students in order to be able to have higher competitiveness and competencies. BK teachers are also expected to be able to balance the development of students in the millennial era with a more efficient, effective, and flexible approach. Therefore, guidance and counselling teachers need to develop four additional competencies namely; 1) critical competency, 2) creative competency, 3) communicative competency, and 4) collaborative competency. The development of these competencies is obtained through lecture activities, seminars, training/courses, and other relevant development activities. Pages 147 to 161

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The Effect of Spatial Intelligence and Mathematical Logic Intelligence on Students’ Mathematics Achievement

La Ndia, Etin Solihatin, and Zulfiati Syahrial

1Department of Mathematics Education, Halu Oleo University, Kendari, Indonesia

2Department of Educational Technology, Jakarta State University, Indonesia

Email:  alndifiat@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

This study aims at determining the effect of spatial intelligence and mathematical logic intelligence on students' mathematics achievement in material systems of two variable linear equations. This ex post facto research was conducted at class VIII of SMP 5 Kendari, Southeast Sulawesi, Indonesia. The sampling technique was done by a simple random technique. Of the 10 classes, VIII available, one class was randomly selected as a sample, namely class VIIIG. Data was analysed using simple linear regression to determine the effect of each variable on mathematics achievement and multiple regression to determine the joint effect of spatial intelligence and mathematical logic intelligence on student mathematics achievement. The research findings indicated that there was a significant effect of spatial intelligence and mathematical logic intelligence on students' mathematics achievement, both partially and jointly, with the regression equation model Ŷ = 23, 755 + 0.527X1, with r2 = 0.654, Ŷ = 43,926 + 0.291X2 with r2 = 0.684, and Ŷ = 29.107 + 0.295X1 + 0.181X2 with R2 = 0.791. Pages 162 to 182

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Prediction of Electricity Consumption for Household Categories R-1 Based on Average Air Temperature with a Single Input Transfer Function Approach

Sediono, Eko Tjahjono, and Retno Dwi Puspitasari

Department of Mathematics Airlangga University

Email: sediono101@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

The transfer function model is one of the quantitative prediction models that is often used for multivariate time series data prediction. This model combines several characteristics of regression analysis with ARIMA periodical characteristics. This research explained the application of a single input transfer function model in predicting the amount of electricity consumption (Yt) in Jombang Regency based on the influence of the average air temperature (Xt)). In conducting modelling, the data used electricity consumption and the average air temperature from January 2011 to June 2017. The stages that need to be done are to see the stationary data of the output series (Yt) and input series (Xt), determine the best ARIMA model output series (Yt) and input series (Xt), do prewhitening, determine the order (b, r, s) through cross correlations (CCF) plots, and determine the best model of the transfer function by describing the order (b, r, s) along with the sequence (nt). From the model produced it can be explained that the amount of electricity consumption in Jombang is influenced by the increase in electricity consumption 1 month before (), minus 1202862.9 times the average air temperature this month () minus the average air temperature 12 months ago (), minus the average air temperature 13 months ago () ̇ plus the residual this month () minus 0.83127 times the residual 1 month ago (). Pages 183 to 198

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Profitability Level Modelling of Manufacturing Companies based on Binary Logistic Regression with Random Effect on Panel Data

Suliyanto, Sediono, and Amrina Rosyada

Department of Mathematics, Universitas Airlangga, Surabaya, Indoensia

   Email:  suliyanto@fst.unair.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

The manufacturing company is the main pillar of industrial development in a country. The development of manufacturing industry can be used as a benchmark to see national industrial development in the country. The performance of a good manufacturing company can be seen from profitability. Profitability is the ability of companies to earn profits in relation to sales, total assets capital. Profitability ratios are measured by Net Profit Margin (NPM). This ratio measures the ability of a company to generate profitability at a certain level of sales, assets, and capital stock. The greater the Net Profit Margin, the more efficient the company is in issuing the costs associated with its operations. The relationship between profitability and the factors that influence it will be studied to obtain a mathematical model. This mathematical model will show the factors that influence profitability significantly. Predictor variables which determine profitability are Leverage, Manufacturers’ Size, Liquidity, and Tangibility. In conducting research on profitability, the data used is a combination of cross section and time series or panel data. This data is used because it is necessary to observe the behavior of research units at various time periods. This study used secondary data of 2008 – 2016 Annual Reports which were downloaded from 21 related manufacturers’ official websites. One of the statistical analysis tools used, to observe the behavior of research units at various time periods, is ordered logistic regression analysis in panel data, which is an extension of logistic regression when it is used in panel data. Estimation of binary logistic model parameters in panel data using maximum likelihood estimation method with Gauss-Hermitte Quadrature iteration. Based on the best model obtained, the factors that influence manufacturers’ profitability, in Indonesia, are leverage and tangibility. The result of the Likelihood Ratio Test shows that the random effect panel binary logistic regression model is better model than standard binary logistic regression with a classification of accuracy of 73.54%. Pages 199 to 216

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How Does Metacognition of Senior High School Students Participate in Mathematical Problem Solving Process

Kristiana Reinildis Aek, Imam Sujadi and Sri Subanti

Universitas Sebelas Maret, Surakarta, Indonesia

Email:  aekrenny@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

Metacognition is an important factor in mathematical problem solving. It is the ability to monitor and control our own thoughts, how to approach the problem, how to choose the strategies to find a solution, or to ask ourselves about the problem. In other word, metacognition can be defined as think about thinking. By using metacognition, students will solve mathematical problems precisely because they are aware of the thinking process to plan, monitor and evaluate each step taken. This study was conducted to identify students' metacognition profiles in solving mathematical problems. It is descriptive qualitative research. The research was conducted in Class X SMAN 1 Surakarta. Data was collected using a written test and task-based interviews. Based on data analysis, the subjects cannot fulfill all indicators of the stages of metacognition, namely planning, monitoring and evaluation. So it can be concluded that not all students can use their metacognitive abilities well. Pages 217 to 226

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Understanding the Concept of Social Studies: A Study of the Effect of Instruction Models and Interpersonal Intelligence

Muhamad Abas, Etin Solihatin, Nadiroh

Student of Postgraduate of Universitas Negeri Jakarta; PGSD Department, Halu Oleo University, Kendari, Indonesia. PKn Departement , Faculty of Social Sciences, Universitas Negeri Jakarta, Indonesia                                                      

 3Prof. at the Faculty of Social Sciences, Universitas Negeri Jakarta, Indonesia

Email:  Muhamadabas750@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

This study examines the effect of learning models and interpersonal intelligence on the understanding of student social studies concepts. The study was conducted on PGSD students at the FKIP University of Halu Oleo, Indonesia. Using the quasi-experimental method with post-test control group design, simple random technique. The research sample is composed of 56 students. The data collection uses questionnaires, validated by experts and tested empirically. Data was analyzed using descriptive and inferential analysis. The results of student learning social studies concepts, using reciprocal learning models, were higher than students who were taught with conventional instruction models. It was found that there was an interaction between learning models and interpersonal intelligence. Students who have high interpersonal intelligence, taught with reciprocal instruction models, obtain higher social studies concepts than students who are taught with conventional instruction models. Students learning social studies concepts, that have low interpersonal intelligence, taught by reciprocal instruction models are higher than students taught by conventional instruction models. Thus, it is a recommended that student social studies concepts and lecturers need to use a reciprocal instruction model by paying attention to students' interpersonal intelligence. Pages 227 to 251

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Simulation of Ac Electric Motor Control Learning Through The Modelling of Starting Current of Three Phase Induction Motors Using The Star to Delta Connection Method

 

Gunadi Tjahjono1, Renold Harse Modok1, Christian Yohanis Boboy1,  TettySetiawaty21Department of Electrical Engineering Education, Faculty of Teacher Training and Education Nusa Cendana University2Department of Building Engineering Education, Faculty of Teacher Training and Education Nusa Cendana UniversityEmail: gunadi_tjahjono@staf.undana.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it ; modokreno@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it ; smkkupang2017@gmail.comThis e-mail address is being protected from spambots. You need JavaScript enabled to view it ; tetty_setiawaty@staf.undana.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

The purpose of this study is to produce a semi-automatic control model with a 3-phase synchronous starting motor using magnetic contactors, push buttons and timers applying the star connection method to the delta connection. The approach used in this study is a quantitative descriptive approach. Where the research is conducted at the Laboratory of Department of Electrical Engineering Education, Nusa Cendana University, Kupang. The study population was all 3-phase synchronous motor controllers using the star to delta method. The sample is a number of measurements of both voltage, current, and power in the control of a 3 phase induction motor using the star to delta method. The research instrument used a picture guide of the 3 phase induction motor control system and a picture of the main series of 3 phase synchronous motor control. The results of this study are: (1) Semi-automatic control model when 3-phase synchronous starting motor using 3 phase magnetic contactors, push button and timer by applying the star connection method to delta connection; (2) The average voltage of the 3 phase induction motor control applying the star-connection is 170v; (3) The average phase current for controlling the 3 phase synchronous motor applying the star-connection without C is 112.5 [mA] for IR, 111.25 [mA] for IS and 118.75 [mA] for IT. (4) The average phase current of controlling the 3 phase synchronous motor applying the delta-connection of 600 [mA] for IR, amounting to 552.5 [mA] for IS and equal to 557.5 [mA] for IT; (5) The average phase current for controlling the 3 phase synchronous motor applying the delta-connection with C 15.18 [µF] of 62.5 [mA] for IR, amounting to 55,625 [mA] for IS and 63,125 [mA] for IT. (6) The mean value of the apparent power of star connection without a capacitor is 14 [Watt] and the reactive power of star connection without a capacitor is 49.5 [VAR]; (7) The mean value of the apparent power of the delta connection without capacitor is 27.25 [Watt] and the reactive power of the delta connection without capacitor is 165 [VAR]; (8) The mean value of the apparent power of the delta connection with capacitors is 15.18 [µF] of 18.75 [Watt] and the reactive power of the delta connection with capacitors is 15.18 [µF] of 24.375 [VAR]; (9) The capacitor value of 15.18 [µF] is the best value for the reactive power savings in a three-phase synchronous motor rotor coil type. Pages 252 to 270

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Development of Geographically Weighted Regression Using Polynomial Function Approach and Its Application on Life Expectancy Data

Toha Saifudin, Suliyanto, Elly Ana

Department of Mathematics

Faculty of Science and Technology

University of Airlangga

Email:  tohasaifudin@fst.unair.ac.idThis e-mail address is being protected from spambots. You need JavaScript enabled to view it

Geographically Weighted Regression (GWR) is a varying coefficient model. However, as an extension of Ordinary Linear Regression (OLR), it models a dependent variable at each location as a linear function of a set of independent variables. In real life,   one or more independent variables involved in the model may have nonlinear relationships with the dependent variable. For this case, the GWR model is no longer realistic to use since the resulted analysis lead to be misleading. To overcome the problem, we develop the GWR by using a polynomial function approach. Here, the model is called Geographically Weighted Polynomial Regression (GWPolR). This paper aims to provide an algorithm, based on Akaike Information Criterion (AIC), for finding the optimal bandwidth and polynomial degrees. Furthermore, this paper aims to analyze life expectancy data in East Java province, Indonesia based on human development index and per capita expenditure. Compared with OLR and GWR models, GWPolR gave a significant improvement of goodness of fit measures and a more complete explanation of how each independent variable was related to the life expectancy. Pages 271 to 289