bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness of Game Based Learning on The Logic Gate Topics
Authors: Dewantara D , Wati M , Misbah M , Mahtari S , Haryandi S 
Published: June 2020

Abstract
This article focuses on analyzing the effectiveness of applying Game Based Learning on Logic Gate Material to student learning outcomes. This type of research is quantitative descriptive. This study uses a one group pretest and posttest design. This study uses a one group pretest and posttest design. The treatment given in this research is the application of game based learning. Game based learning using the game “Circuit Scramble.apk. This research was conducted at the Physics Education Study Program at Lambung Mangkurat University. The research subjects are Physics education students taking digital electronics courses in 2019. Data is collected using pre-test and post-test about logic gate. Pre-test and post-test data were tested for normality then N-gain test. N-gain test results obtained a value of 0.703. Therefore, it can be concluded that the effectiveness of the application of game based learning is in the high category. Thus, Game based learning on effective logic gate material is applied to improve student learning outcomes.
The Process of Developing Students’ Scientific Argumentation Skill Using Argument-Driven Inquiry (ADI) Model in Senior High School on The Topic of Elasticity
Authors: Suliyanah  , Fadillah R N , Deta U A 
Published: June 2020

AbstractThe Argument-Driven Inquiry (ADI) learning model is a laboratory-based learning model. ADI requires students to be able to work as a group and make argumentation that shows their understanding of concepts. It is important to practice scientific argumentation in learning so that the students can explain scientific phenomena based on evidence and concepts learned. The purpose of the research is to train the student’s argumentation with the ADI model. This research used a qualitative descriptive with the subject of research is 37 senior high school students. Students’ scientific arguments skill is measured by verbal arguments supported by written arguments and analyzed using Toulmin’s Argumentation Pattern. The results show that there is an influence of the ADI model on students spoken scientific argumentation with a mean at level 3 and supported by written argumentation which increased with a mean value of 2.72 on the topic of Elasticity. It can be concluded that the most student’s ability in providing scientific argument is at the level of giving claim with the weak support warrant.
Identification of Moho Discontinuity Depth Variations and Subduction Slab in North Sumatra Region Using Receiver Function Method
Authors: Pratama R , Ariyanto P , Wijaya A , Ariwibowo S 
Published: June 2020

AbstractNorthern Sumatra is an area with a complex structure of the earth’s crust. This area is very suitable for studying the state of the lithosphere in the subduction zone, where the average distribution of earthquakes with magnitudes greater than 5.0 occurs due to the movement of the subduction zone. This study aims to map the depth of the Moho discontinuity and subduction slab under 3 seismic stations in northern Sumatra, where 3 broadband sensors are 3 components of the BMKG seismograph network (Meteorology, Climatology and Geophysics) using the receiver function method. This study used teleseismic earthquake data with a distance of 30° - 90°. Inversion of the neighbourhood algorithm is used to get the S wave velocity model and theVp/Vsvalue used to migrate the amplitude of the receiver function from the time domain to the depth domain. The depth of the Moho in northern Sumatra varies, under the GSI station the Moho depth is shallow ∼ 9 km, while the Moho depth for the other stations is on average 19 - 47 km. The slab is identified at a depth of ∼ 35.5 - 192.54 km below the GSI station to the TSI station where the position of the linear station is towards the Indo-Australian subduction zone. The low speed zone can be identified in the study and found to be in the range of ∼ 10 - 35 km below the surface of the Toba caldera.
The Students’ Understanding Profile on Nature of Science (NOS) of Physics
Authors: Jauhariyah M N R , Rohmah S N , Permatasari N Y 
Published: June 2020

Abstract
Nature of Science (NOS) is an important concept in learning science. This is a much larger issue in science education research. This study aims to find out how students understand NOS in physics learning. This research describes the students’ understanding profile of the NOS based on the questionnaire in the form of a set of open questions or written statements to respondents to be answered. Respondents were 33 students of science class at one of school in east java in the academic year 2019/2020. The results showed that the level of understanding of the NOS by students in the range of categories is sufficient. Considering the importance of understanding the nature of science, this research implies that knowledge about aspects of the NOS should be paid more attention and study by all members of the education community so that students can better understand the NOS.
The Design of Physics Learning Video as Joyful-Based Learning Media Enrichment by Powtoon
Authors: Bakri F , Rodhiyah A , Nurindrasari M , Pratiwi S , Muliyati D 
Published: June 2020

Abstract
This research aims to develop physics learning videos as fun and meaningful, based on joyful learning. Joyful learning requires engaging in the delivery of learning material. The video development process uses Powtoon software. This video is a form of media that can be used to convey learning in a fun and meaningful way. This stage of development research consists of defining, design, developing, and disseminating. This paper describes the development process of each stage. The output of this research is a video of learning that will be appropriate to be used as a medium for learning high school physics.
Online-based Physics Learning to Provide Four Dimensions of Knowledge to Teacher Training Program Students
Authors: Kustijono R , Hakim SR , Wiwin E 
Published: June 2020

Abstract
The purpose of the study is to describe the effectiveness of online-based physics learning to provide four dimensions of knowledge to teacher training program students. This type of research is quasi-experimental with a time-series design. Effectiveness is seen from the four dimensions of student knowledge and response. The manipulation variable is online-based physics learning and mastery of knowledge is the dependent variable. Research subjects were 40 students of the Physics Teacher Training Program at Universitas Negeri Surabaya. Six Physics modules are discussed regularly. Assessment of four dimensions of student knowledge and responses using a Likert scale (1-5). Data analysis uses descriptive statistics. Learning is effective if the average value of mastery of each dimension of knowledge ≥ 3.1 (scale 0-5) in each discussion module with a fixed or upward trend. Student responses are effective if the percentage is obtained by ≥ 61%. The results are: 1) the average score of students’ knowledge dimensions (factual, conceptual, procedural, and metacognitive) is ≥ 3.1 2) Student responses are ≥ 61%. The results showed that online-based physics learning is effective can provide four dimensions of knowledge to Teacher Training Program Students and get a positive response.
The Use of Physics Tricks to Practice Critical Thinking Skills in Senior High School Students
Authors: Wiwin E , Hakim SR , Kustijono R 
Published: June 2020

AbstractThe purpose of this study was to determine the effectiveness of using physics tricks to practice the critical thinking skills of senior high school students. The critical thinking skills determined are analyzing, evaluating, applying, generating ideas, and exploring ideas. This type of research is pre-experimental using one-shot case study design. The effectiveness of the use of physics tricks is seen from the critical thinking skills and student responses. Research subjects were 50 senior high school students. Analysis of the data used is descriptive statistics. Effectiveness scores are measured using a Likert scale. Physics tricks are effective if the scores of critical thinking skills and student responses indicate more than 60% are good and very good. The results obtained are 1) the score of students’ critical thinking skills is categorized good and student responses are categorized very good. The results concluded that the physics trick was qualified to be used to practice the critical thinking skills of senior high school students.
Science Process Skills Profile of Non-Science Undergraduate Student in Universitas Negeri Surabaya
Authors: Deta U A , Prakoso I , Agustina P Z R , Fadillah R N , Lestari N A , Yantidewi M , Admoko S , Zainuddin A , Nurlailiyah A , Prahani B K 
Published: June 2020

Abstract
Science process skills are an ability to apply scientific methods in understanding, developing and discovering science. The importance of learning science process skills is to make students easier to solve problems in their daily life. The purpose of this research is to find out the science process skills profile of non-science undergraduate students. The object of this research is non-science undergraduate students in Universitas Negeri Surabaya. It’s using the descriptive qualitative method, and the data obtained from the questionnaire and interview. The result of this research is non-science undergraduate students didn’t accustom to analyzing a problem using science process skills. It’s according to the results of surveys and interviews that are less than optimal. Therefore, the conclusion is science process skills need to train to non-science students because it helps in solving problems in everyday life through a scientific fact.
Elite (E-Book Literacy) for Junior High School Student’s Scientific Literacy in Solar System Material
Authors: Kusumawati A T , Wasis  , Sanjaya I G M , Kholiq Abd. 
Published: June 2020

Abstract
Many researches on e-book development have been done, but they are different from the development of e-book literacy (ELITE). The developed ELITE has several advantages, including features that can be utilized to train students’ scientific literacy, the integration as a source of student learning, and teacher’s teaching material in learning. This study aims to produce ELITE which is reliable in terms of validity, practicality, and effectiveness review. The e-book developed is said to be worthy if at least it has good enough criteria. Type of research that is appropriate with the design of ELITE media development to practice scientific literacy is ADDIE (Analysis, Design, Develop, Implement, and Evaluate). The data collection employed included validation, observation and questionnaires. The obtained results show that the validity was in very valid category (learning 91.67%, material 92.71%, media 94.27% and language 90.74%). The practicality results are categorized very good with a percentage of 87.50%. The results of effectiveness based on the pre-test and post-test results are as follows: the scientific literacy competence to explain the phenomenon scientifically increased by 52% and the scientific literacy competence to interpret data and scientific evidence increased by 59%. The results of this effectiveness are included in the quite good category. In addition, the effectiveness results based on students’ positive responses are categorized very well (85.71%). Based on the analysis results, it can be concluded that the ELITE media developed is feasible to be used to train junior high school students’ scientific literacy particularly on solar system material.
Gaussian Process Regression with Average Hyperparameter
Authors: Winarni S , Indratno S W 
Published: June 2020

Abstract
Gaussian regression process (GPR) is a non-parametric analysis approach that is more flexible than simple linear regression analysis. Linear and non linear patterned data can be modeled by GPR. In big data the use of GPR is constrained by the increasing size of the data. Data partitioning approach can be done as an alternative to facilitate data processing. The partitioned data then shifts one data, and so on until the last training data. In each data partition an optimum hyperparameter will be obtained. The average hyperparameter is used in the prediction process. The results obtained are that by partitioning the data and then using the average hyperparameter, the predicted results obtained are better than doing with the overall training data. In the data partition approach, small partitions provide better predictive results than large partitions. The resulting RMSE value is also getting smaller. Thus the average hyperparameter approach with small data partitions can be used as an alternative in making predictions on GPR.
Analysis of Generalized Space Time Autoregressive with Exogenous Variable (GSTARX) Model with Outlier Factor
Authors: Mukhaiyar U , Huda N M , Sari K N , Pasaribu U S 
Published: June 2020

Abstract
The outlier is an observation data that has different characteristics from others. Frequently, outliers are removed to improve the accuracy of the estimators. But sometimes the presence of an outlier has a specific meaning, which explanation can be lost if the outlier is removed. There are two exceptional cases from types of outliers, Innovative Outlier (IO) and Additive Outlier (AO). The presence of an outlier in the space-time model is no exception. Space-time model, not only influenced by previous observations at the same location and previous observations in a different location, or there are not only time and location dependencies, but also there are some other things that affect, which can be expressed as an exogenous variable. GSTARX is a model that combines not only time and location but also involves exogenous variables. In the GSTARX model, the presence of outliers may also be detected and may have spatial correlation at a time. In this paper, the iterative procedure in detecting outliers in the GSTARX model was introduced. Therefore data containing outliers is not deleted or ignored but still involves the outlier data by adding an outlier factor to the GSTARX model. The power of the procedure in detecting outliers is investigated by simulation experiments. The result is a GSTARX model with outlier factors that maintain the outlier factor.
Performance of Entropy-Based Criteria Weights in Solving Multi-Criteria Problems
Authors: Mat Kasim M , Jemain A A 
Published: June 2020

Abstract
Weights of criteria are often predetermined prior to solving multi-criteria problems. One way to estimate the weights is by manipulating the intrinsic information contained in the criteria. The measure of entropy which is usually modelled by probability concept has been used to represent the criteria weight. The aim of this paper is to propose the use of density functions obtained by kernel-based method to represent the probability in estimating entropy of criteria. Furthermore, a simulation experiment was used to investigate the pattern of decisions provided by the proposed method in solving multi-criteria problems. The results showed that the performance of the proposed method is quite consistent. The use of probability density functions representing probability in computing entropy of criteria contributed to another development in entropy theory. Hence, the use of the resulted entropy-based criteria weights would lead to a more valid outcome in resolving multi-criteria decision-making problems.
Student Engagement And Attitude in Mathematics Achievement Using Single Valued Neutrosophic Set
Authors: Mahmud M , Md Nor N , Jauhari N E , Nordin N I , Abdul Rahman N 
Published: June 2020

Abstract
Generalization of the Fuzzy set and Intuitionistic Fuzzy set concept is called as Neutrosophic set which is a powerful general formal framework. The components in Neutrosophic set has a degree of truth (T), indeterminacy (I) and falsity (F). The value of this components are between [0,1], respectively. A Neutrosphic set has a general formal framework for analysing uncertainty in data set or undetermined information. Not only uncertainty, Neutrosophic set can also analyse large information sets or big data sets as well. Single Valued Neutrosophioc sets (SVNs) was introduce to be used expediently to deal with real problems and it is appropriate in solving data mining problem and make a decision for the problem. In this paper, Single Valued Neutrosophic set (SVNs) was proposed to measuring factors impact on student engagement and attitude in mathematics achievement based on Trends in International Mathematics and Science Study TIMSS 2015 for ASEAN countries and use the data to illustrate the applicability of the proposed factors similarity measures in decision making. The result shows that the factor which is Confidence in Mathematics include in highly acceptable zone in students’ engagement and attitude in Mathematics Achievement for ASEAN countries.
Sensitivity Analysis in Finding Shortest Path for Order Picker with Limited Picking Capacity
Authors: Nordin N A M , Shariff S S R , Omar M 
Published: June 2020

Abstract
The success of any warehouse management is normally contributed by the success of order picking process. In any warehouse operation, order picking contributes more than half percentage of the total warehouse operating costs. Layout of warehouse, storage allocation, number of order pickers and various routing methods contribute to significant impact on the order picking process. All of these variables need to be considered in ensuring smooth and fast order picking process. We test the variation of each variable in finding the optimal route for each order picker, using a modified Dynamic Programming method. Real data set of a warehouse operation is used for the study. The results show a reduced of total distance by 11.6% by choosing the shortest path based on the number of order pickers and an increase by 48% using batch picking method. The shortest distances for each OP with limited capacity are also discussed thoroughly in this paper.
Analysis sentiment in social media against election using the method naive Bayes
Authors: Nurcahyono Damar , Putra Willy Permana , Najib Abdul , Tulili Tien Rahayu 
Published: June 2020

Abstract
Election is the process of selecting people to fill a variety of political positions that are diverse. General elections in a country are usually held periodically where the country adheres to a democratic system. Indonesia is a country that adopts a democratic system. The development of the use of Social Media is very fast. Nowadays, there are many social media which have a big influence. As a result, society has experienced changes in culture, ethics, norms and a more critical mindset in responding to existing conditions as well. Social media is now increasingly easy to use by all groups, from the beginning only a small person to a successful person and famous for Social Media. Sentiment analysis is a science that is useful for analyzing someone’s opinions, sentiments, and emotions expressed in the text. In this study the Naïve Bayes method can be applied to the classification of positive, negative, and neutral opinions. In this study of 50 training data and 10 test data obtained an accuracy of 90%. And the results obtained positive sentiment percentage of 50%, negative 20%, neutral 10%. More positive sentiments gained.
Implementation of Artificial Ant Colony Algorithm (AACA) in dynamic labyrinth generation for android-based 2D games
Authors: Herumurti Darlis , Kuswardayan Imam , Khotimah Wijayanti Nurul , Yunanto Andhik Ampuh , Yusuf Andi Akram 
Published: June 2020

Abstract
Playing games can make people feel fun. Players can be more fun if you have a lot of variations, for example, variations of items, maps, or enemies. Map variations can be fulfilled by implementing a dynamic labyrinth generator. In this research, the game has a feature called Dynamic labyrinth generation using the Artificial Ant Colony Algorithm (AACA) method. For deployment, this game is implemented on the Android mobile platform. The evaluation is conducted by testing functionality in system games. The result indicates AACA can generate dynamic mazes and with optimal time with less than five seconds. So, the conclusion from this research that the AACA method can generate dynamic labyrinth quickly and well for Android Game.
Geographic information system design of tourism in Bengkayang regency
Authors: Beno Eximenes , Harjoseputro Yulius , Rusdianto Eduard 
Published: June 2020

Abstract
Bengkayang Regency is a place that has a uniqueness that is rarely found in another area because Bengkayang has a coastline, islands, and forests that are still sustainable and protected. Bengkayang also has many unique cultures and traditions. Although it has a uniqueness, which is rare in Bengkayang Regency, only a few people understand about the various potentials that exist in Bengkayang Regency. That is because the regional government still has problems in developing Bengkayang Regency tourism. After all, there are no media that can be a means of information as well as promotion for tourists. Therefore, the authors build a web-based geographic information system using the PHP programming language and MySQL database called PARAYANG. This system is equipped with a Travel Destination Map feature to provide tourists with an overview of the distribution of the location points of each tourist destination in Bengkayang Regency. PARAYANG is intended for tourists because it can convey complete and interactive information about attractions and available events around Bengkayang Regency. The output from the development of this system is that the application can facilitate tourists in getting information about tourism and events in Bengkayang Regency. Besides, the existing tourist map feature in the method can provide information about the distribution of tourist destination locations in Bengkayang Regency so that it can assist tourists in determining the desired tourist destination.
Role of packet tracer in simulating server services on the client-server computer network
Authors: Irawan Purnama Ida Bagus 
Published: June 2020

Abstract
In a client-server architecture, a server is dedicated to providing various services, functions, and resources to serve its clients’ requests over a computer network. To understand and expertise this concept, a lot of exercises are critically needed. This aims to improve learners’ practical skills as well as to expand their knowledge. However, a real client-server network with the representative servers and network devices is costly. It is sometimes not available for the experiment and trial. In this case, a network simulator can be a reasonable substitute. This study uses Cisco Packet Tracer to simulate various server services such as DHCP, HTTP, DNS, FTP, Email, NTP, Firewall and IoT Registration Server. The mini-project simulation is proposed to explore the capabilities of the simulator to providing a wide range of server services. All settings and testing are visualized followed by the discussion of each result. It is expected that by practicing and mastering this mini-project simulation, learners can first build the client-server network using proper devices, wiring, naming, and addressing on a single monitor. Second, they can understand all the server parameters and then able to configure them step by step. And third, they can easily conduct testing, tracing and troubleshooting afterward. Furthermore, this work has a goal to build a bridge between network theory and practical aspects simultaneously so that learners will have a lot of confidence when working on a real network.