Reviewerly/exHarmony huggingface dataset:
USING WATTPAD APPLICATION TO IMPROVE THE RECOUNT TEXT WRITING SKILL OF THE TENTH GRADERS OF SMA N 3 TEMANGGUNG IN THE SCHOOL YEAR OF 2018/2019

USING WATTPAD APPLICATION TO IMPROVE THE RECOUNT TEXT WRITING SKILL OF THE TENTH GRADERS OF SMA N 3 TEMANGGUNG IN THE SCHOOL YEAR OF 2018/2019 ISTI ROKHA English Department Faculty of Education and Teachers Training Tidar Univerisity Istiroha72@gmail.com ABSTRACT English is one of the international  languages. In teaching English, there are four language skills. They are listening, speaking, reading, and writing. Writing is a language skill to express opinions, feelings, and ideas into the arrangement. However, the tenth graders of SMA N 3 Temanggung in the school year of 2018/2019 still got difficulty in writing, especially in writing recount text. The students’ average score is 65, wile the standard minimum score of the learning target is70. It was caused by the students’ low motivation in learning writing and the monotonous media that are used by the teacher. There are two objectives of this research. First, to know whether or not wattpad  application motivates the students in learning writing of recount text of the tenth graders of  SMA N 3 Temanggung in the school year of  2018/2019. Second, to find out whether or not teaching writing using wattpad application improve the students’ writing skill of recount text of the tenth graders of SMA N 3 Temanggung in the school year of 2018/2019. The writer conducted a classroom action research. The subject of this research is X IPA 3 of SMA N 3 Temanggung in the school year of 2018/2019 involving 15 males and 21 females. This research was divided into Pre-Cycle and two-Cycles, they are: Cycle I and Cycle II. The writer used observation sheet, questionnaire, and documentation to collect the data. In analyzing data, the writer used qualitative and quantitative measurement to find out the result. The writer found that the use of wattpad application as media can increase the students’ learning motivation. The observation and questionnaire results indicate the students’ have better motivation in learning writing of recount text. The observation percentage in Pre-Cycle is 44.16%, in Cycle I 61.38%, is and it becomes 76.38% in Cycle II. The total improvement is 32.22%. In Pre-Cycle test, the average score of writing recount text is 63.27. After the writer using wattpad application as media, the students average score in Cycle I is 66.55 while in Cycle II is 73.36. The improvement from Pre-Cycle to Cycle I test is 3.28 points, and from Cycle I test to Cycle II test is 6.81 points. Overall the total improvement from Pre-Cycle test to Cycle II test is 10.9 points. Based on the above results, the writer concludes that the use of wattpad application as media in writing recount text can improve the students’ learning motivation in writing recount text and the recount text writing skill of the tenth graders of SMA N 3 Temanggung in the school year of 2018/2019. Keywords: Recount Text , Wattpad Application Media, Writing Skill
Literature-Based reading material for EFL students: a case of Indonesian Islamic University

This study presents an overview of literature-based reading materials for students of English as a foreign language (EFL) at Islamic universities in Indonesia.It includes an assessment of the materials by experts in the field, EFL practitioners at Islamic universities, and students of the English department.The developed materials describe the aims, objectives, methodology, topics, tasks, sequence, worksheet, and assessment procedure.The assessment of the materials is conducted qualitatively, through questionnaire and interview, and quantitatively through an experimental design.The purposes of this study are: (1) to develop literature-based reading materials for EFL students, (2) to investigate whether the developed materials are acceptable according to the experts' and practitioners' assessment, and (3) to investigate whether the materials are effective for the students.Findings indicate that the materials are well-rated by the experts and the practitioners particularly related to such aspects as text and topic, practicality, novelty, and task variation.The use of literary texts from Western, Indonesian, and Islamic tradition increases the acceptability of the materials.The small-scale experimental design of the research also confirms a significant difference between the students taught with literature-based reading materials and those taught with non-literature-based materials.The students of the experimental group also find the materials contextual and valuable.
Data-Driven Student Learning Performance Prediction based on RBF Neural Network

With the expansion of college enrollment in recent years, the quality of students' learning is beginning to decline.At present, education quality governance has become the internal demand of the reform and development of higher education.Learning performance prediction is an important means to effectively resolve the academic crisis and improve the overall education quality.In this study, firstly, the current status and problems about learning performance prediction were analyzed from the perspective of basic data, evaluation indicators, and prediction methods.Secondly, driven by ten items of basic learning situation data, a learning performance prediction model based on the RBF neural network was established, which included three layers in network topology: the input layer, hidden layer, and output layer.The activation functions of the hidden layer and output layer were a Gauss radial basis function and linear function, respectively.The modeling process included three steps: forward propagation computing prediction loss, error backward propagation adjusting network parameters, and network optimization determining model hyperparameters.The obtained results showed that the trained model had small relative root mean square error values for both the training data and testing data.When comparing the original observation values and model predicted values, it was observed that most of the sample points were evenly distributed on both sides of the diagonal line of the contrast graph, which indicates that the RBF neural network model employed in this study is promising in learning performance prediction.It is of good reference significance for promoting more accurate and efficient learning performance prediction and improving the efficiency and effectiveness of education quality governance.
THE NEEDS ANALYSIS OF SENIOR HIGH SCHOOL STUDENTS’ READING COMPETENCE IN NATIONAL EXAMINATION: STUDENTS’ PERSPECTIVE

The focus of this research is to asses the Reading competence needs of senior high school students in English National Examination (ENE) based on students’ perspective. The background in conducting this research mainly because of two things. The first one is the importance of curriculum evaluation behind the Needs Analysis itself. The second one is the importance of the certain preparation for strengthening English material to face the English National Examination. Both of these backgrounds are equally important for students and teachers at once. The research questions of this study are framed within the scope of students’ perspective. The method of this research included some of questionnaires which was then analyzed using the five-points Likert Scale method. This research already debriefed 106 senior high school students in grade 12 from Boyolali regency, Central Java. They were involved in filling out the questionnaire where the results were used as the main data in this study. The final findings in this study include the fact that: (1) The Reading questions in National Examination are in moderate level of difficulty based on the students perspective, (2) The Reading National Examination materials are clearly taught by the teachers, (3) Reading is very important material to be mastered in National Examination, (4) The students are in moderate level dealing with their mastery of Reading material in National Examination, (5) The use of technology in Reading material learning is very important method based on students’ perception, and (6) The frequency of use of technology in Reading lessons by teachers is quite often (moderately) based on student opinions.
The Development of Comics Based on Algebraic Literacy for 7th Grade Students of Junior High School

This research aimed at describing the development process and the effectiveness of mathematics media using comics based on algebraic literacy for 7th-grade students of junior high school (SMP). The kind of research, that conducted, was Research and Development (R&amp;D) by using the ADDIE model. In which the model was Analysis, Design, Development, Implementation, and Evaluation. The media was tested into 24 students of 7th-grade. The average result of the media validation test both the validators were 3,7 in which is categorized as very valid with a feasible description to be tested. While the average result of material validation was 3,39 which is categorized as very valid with a feasible description to be tested. The effectiveness analysis result obtained that the students gave very positive responses with the obtained percentages of 85,21% and the mastery percentages of the class were 87,5% ineffective category. Therefore, it can be concluded that the comics based on algebraic literacy is effective to be used in algebra material for 7th-grade students SMP.
Some remarks and tests on the DH1 Cryptosystem based on automata compositions

In this paper we discuss NIST test results of a previously introduced cryptosystem based on automata compositions. We conclude that the requirements of NIST test are all fulfilled by the cryptosystem.
Quantum correlations for two coupled oscillators interacting with two heat baths

We study a system of two coupled oscillators (A oscillators), each of which linearly interact with their own heat bath consisting of a set of independent harmonic oscillators (B oscillators). The initial state of the A oscillator is taken to be coherent while the B oscillator is in a thermal state. We analyze the time-dependent state of the A oscillator, which is a two-mode Gaussian state. By making use of Simon’s separability criterion, we show that this state is separable for all times. We consider the equilibrium state of the A oscillator in detail and calculate its Wigner function.
Missing Value Imputations by Rule-Based Incomplete Data Fuzzy Modeling

Missing values are a common phenomenon in real-world datasets, which decreases the quality and reliability of data mining. Traditional regression-based imputation method estimates missing values through the relationship between attributes inferred by complete records. In order to describe the relationship more appropriately and make better use of present values, a rule-based incomplete data modeling method is proposed to impute missing values in this paper. The method utilizes incomplete records together with complete records for establishing Takagi-Sugeno (TS) models. In this process, the incomplete dataset is divided into several subsets and the linear functions containing only significant variables are built to describe the relationships between attributes in each subset. Experimental results demonstrate that the proposed method can effectively improve the performance of missing value imputation.
Task Scheduling Performance Evaluation of Unreliable Virtual Machines and Cloudlets

For load balancing in cloud computing environment, scheduling algorithm are used. This paper analyses the research on scheduling algorithms. Further, using cloudsim simulation tools, evaluation of performance of the three algorithms i.e. First Come First Serve (FCFS), Generalized Priority (GP) and Shortest Job First (SJF) was carried out. Three algorithms were compared by varying both virtual machines (VM) and cloudlets, keeping constant VM and increasing Cloudlets, varying the nature of tasks. For all the three algorithms, as the number of cloudlets increases, execution time increases. Generalized Priority algorithm (GP) has lower execution time than both First Come First Serve (FCFS) and Shortest Job First (SJF) algorithms. For homogeneous type of tasks, execution time of FCFS is lower and for heterogeneous type of tasks, execution time of GP is lower. Homogeneous tasks required less execution time than Heterogeneous tasks.
Material Development of English Correspondence Using Task-Based Approach (TBA) for UNNES Students

This study aimed to depict Unnes students’ ability in writing formal letters using English; design and develop correspondence material for English subject in Unnes; and evaluate the effectiveness of correspondence learning by applying Task Based Approach (TBA). This study has been done within a year in Universitas Negeri Semarang by using Research and Development approach. The results indicated that most of the students did not understand formal letter writing using English proven by their lack of knowledge about types of formal letter, letter style, and concept of letter sections. The main problems encountered by the students were garmmar, spelling, and punctuation. Thus, Task Based Approach (TBA) is an effective learning model to teach English correspondence. Correspondence material designing is an urgent need in regards to the advantages obtained by the students that is to develop their skills and ability in writing formal letter in English.
Efficient Neighborhood Density Based Outlier Detection Inside a Sub Network with High Dimensional Data

Anomaly recognition has been utilized to recognize the exception and remove anomalies from different sorts of information and networks.It has imperative applications in the field of failure recognition, network strength examination, Medical Outlier Detection, Industrial Damage recognition.Detecting few anomalies from a network of information perceptions is a continually testing method.The primary commitment of this work is to build up a technique that can register the neighborhood density based anomalies proficiently in high dimensional information.In this paper, we have demonstrated that the dataset is divided into multiple subsets and checked for exceptions which make the task of outlier detection easy.The exceptions are then consolidated from various subsets.In this way, the neighborhood density based anomalies can be figured effectively.In this paper Density Based Outlier Detection (DBOD) method is proposed which divides the network into sub networks and identifies outliers on them.
Implementation of Data Mining using the Clustering Method (Case: Region of the Actors of Theft Crime by Province)

Theft is a behavior that causes harm to victims who are targeted and cause casualties. This study aims to classify areas of theft crimes based on provision by using data mining techniques. Data was obtained from the Indonesian statistical center (Badan Pusat Statistik) consisting of 34 provinces. The grouping technique used is K-Means. Clusters are divided into 3 namely: C1: areas with high crime rates of theft, C2: areas with crime rates of ordinary theft and C3: areas with low theft crime rates. Data processing is done using the help of RapidMiner software. The results of the k-means analysis obtained 17 provinces in Indonesia have the highest theft crime rate (C1), namely: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Lampung, DKI Jakarta, West Java, Central Java, East Java, Banten, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, South Sulawesi and Papua. The results of the study concluded that more than 50% of regions in Indonesia still had high rates of crime of theft.
Upaya Meningkatkan Hasil Belajar PKn Melalui Model Pembelajaran Kooperatif Tipe Round Club Peserta Didik Kelas IVA SD Negeri 64/IV Kota Jambi

Research is backed by the fact that PKn is one of the lessons that are lacking in the hearts of learners. Because this learning is considered to be a difficult and boring lesson, it affects the low learning outcomes of learners. Based on observations that authors as teachers in elementary School 64/IV Jambi, especially class IV. A on PKn subjects that students ' learning outcomes are still low. Only 51.85% of learners reach the KKM 75. This study uses two-cycle class action research. Each cycle consists of four phases: design, activity and observation, reflection, and revision. The target of this research is class IV students. A in SD Negeri 64/IV Jambi City. Data obtained in the form of formative test result, observation sheet of teaching learning activities. From the results analysts gained that student learning results experienced an increase from the pre cycle until the II cycle, the pre-cycle (64.81%) With the submission of 51.85, Cycle I (72.41%), with 70.37 and cycle II (80.93%) With the 85.19 submission. The conclusion of this study is the cooperative learning Model of Round Club type can positively affect the outcome of students learning outcomes of class IV. A State Elementary School 64/IV Jambi City, and this learning model can be used as an alternative learning of PKn.
Group Decision Support System based on AHP-TOPSIS for Culinary Recommendation System

This paper proposes the integration of AHP and TOPSIS to generate the ranking results of culinary recommendation for a group of users to provide better recommendation results. Formerly, Group Decision Support System (GDSS) for culinary recommendations has been developed with the TOPSIS method. TOPSIS has low algorithm complexity, so it is suitable to be applied in mobile devices. However, GDSS with TOPSIS has its disadvantages, TOPSIS have not been able to facilitate the preferences of each user inside a group so the recommendation result always consist only on dominant user. TOPSIS method produces unchanging rankings, because this method recommends a food menu based on the 1 dominant user so that the ranking is always consistent. Meanwhile, this study aims to integrate AHP for weighting criteria from each user and TOPSIS for ranking culinary recommendations. Based on rank consistency testing results that conducted in 6 different user groups, unlike the previous research, AHP-TOPSIS shows inconsistency ranking, which means that changes in user preferences affect the recommendation results that are generated by application. The AHP-TOPSIS method proved can be accommodated the computation of various preferences of each user in GDSS culinary recommendation
Theory and practice of string solvers (invited talk abstract)

The paper titled "Hampi: A Solver for String Constraints" was published in the proceedings of the International Symposium on Software Testing and Analysis (ISSTA) 2009, and has been selected to receive the ISSTA 2019 Impact Paper Award. The paper describes HAMPI, one of the first practical solver aimed at solving the satisfiability problem for a theory of string (word) equations, operations over strings, predicates over regular expressions and context-free grammars. HAMPI has been used widely to solve many software engineering and security problems, and has inspired considerable research on string solving algorithms and their applications.
The fixed point property and a technique to harness double fixed point combinators

Abstract The ${\lambda }$-calculus enjoys the property that each ${\lambda }$-term has at least one fixed point, which is due to the existence of a fixed point combinator. It is unknown whether it enjoys the ‘fixed point property’ stating that each ${\lambda }$-term has either one or infinitely many pairwise distinct fixed points. We show that the fixed point property holds when considering possibly open fixed points. The problem of counting fixed points in the closed setting remains open, but we provide sufficient conditions for a ${\lambda }$-term to have either one or infinitely many fixed points. In the main result of this paper we prove that in every sensible ${\lambda }$-theory there exists a ${\lambda }$-term that violates the fixed point property. We then study the open problem concerning the existence of a double fixed point combinator and propose a proof technique that could lead towards a negative solution. We consider interpretations of the ${\lambda } {\mathtt{Y}}$-calculus into the ${\lambda }$-calculus together with two reduction extension properties, whose validity would entail the non-existence of any double fixed point combinators. We conjecture that both properties hold when typed ${\lambda } {\mathtt{Y}}$-terms are interpreted by arbitrary fixed point combinators. We prove reduction extension property I for a large class of fixed point combinators. Finally, we prove that the ${\lambda }{\mathtt{Y}}$-theory generated by the equation characterizing double fixed point combinators is a conservative extension of the ${\lambda }$-calculus.
On the Statistical and Heuristic Difficulty Estimates of a High Stakes Test in Iran

The findings of previous research into the compatibility of stakeholders’ perceptions with statistical estimations of item difficulty are not seemingly consistent. Furthermore, most research shows that teachers’ estimation of item difficulty is not reliable since they tend to overestimate the difficulty of easy items and underestimate the difficulty of difficult items. Therefore, the present study aims to analyze a high stakes test in terms of heuristic (test takers’ standpoint) and statistical difficulty (CTT and IRT) and investigate the extent to which the findings from the two perspectives converge. Results indicate that, 1) the whole test along with its sub-tests is difficult which might lead to test invalidity; 2) the respondents’ ratings of the total test in terms of difficulty level are almost convergent with the difficulty values indicated by IRT and CTT, except for the two subtests where students underestimated the difficulty values, and 3) CTT difficulty estimates are convergent with IRT difficulty estimates. Therefore, it can be concluded that students’ perceptions of item difficulty might be a better estimate of test difficulty and a combination of test takers’ perceptions and statistical difficulty might provide a better picture of item difficulty in assessment contexts.
Game Learning to Optimize Learning in Disaster Area

In terms of earth science, Indonesia is a very interesting area. But Indonesia is also the mostaffectedcountry.OneofthebiggestnaturaldisastersthatstruckIndonesiaregion is the 2004 Aceh Tsunami. This condition causes the destruction of various facilities including infrastructure in the world of education so that often hampers the learning process. Though education is a very valuable investment in human life. Therefore, various developments continue to be made to create various learning alternatives in supporting the education process. The use of technology will help the implementation of the learning process although facilities and infrastructure are minimal. One of the technologies used is the use of smartphones for learning. By using Android-based learning game is expected to be an alternative model of education that is effective, interesting, interactive and fun. Utilization of this android based learning game in addition to optimizing learning can also reduce trauma (trauma healing) in children after the disaster.
Hand Gestures Classification with Multi-Core DTW.

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was used for the classification purpose. The speed of processing has increased dramatically due to using multi-core processors and DTW.