Reviewerly/exHarmony huggingface dataset:
A PEMBELAJARAN KETERAMPILAN MENULIS TEKS EKSPOSISI DENGAN METODE QUANTUM LEARNING TYPE SHOW NOT TELL PADA SISWA KELAS X SMK PARIWISATA PABUARAN

This research is motivated by problems contained in the learning to write exposition texts, namely: (1) Low skills in writing the exposition text of class X students at SMK Pariwisata Pabuaran. (2) Students have difficulty pouring ideas at the time of learning to write exposition texts. (3) Students lack understanding in determining the structure of exposition texts. Based on the background of the above problems, researchers formulated problems in this study, namely, (1) How the ability to write the text of the exposition of students of class X of SMK Pariwisata Pabuaran. (2) How is the ability to write the exposition text of class X students using the quantum learning type show not tell method. (3) How to improve the ability to write exposition text by using the quantum learning type show not tell method. (4) How class X students respond to learning to write exposition text with the quantum learning type show not tell method. The purpose of this research is: (1) Describing the ability to write exposition texts for students in class X of SMK Pariwisata. (2) Describe the ability to write exposition text of students of class X SMK by using the quantum learning type show not tell method. (3) Describe the increased ability to write exposition text using the quantum learning type show not tell method. The method used in this study uses pre-experimental and research design used in the form of experimental one group pretest-posttest design. This research was conducted at SMK Pariwisata Pabuaran with class X Ph 1 research subjects as an experimental class. Based on the results of statistical calculations obtained the average result of the initial test, which is 55.36 and the average score of the final test after using the quantum learning type show not tell method is 74.46. Based on these calculations, it can be known that there is an increase in the average initial test (pretest) and final test (posttest) which is 19.01%. Then it can be concluded that there is an increase in the learning of exposition text writing skills with the quantum learning type show not tell method in students of class X smk Pariwisata Pabuaran.
PENGARUH MODEL PEMBELAJARAN CORE (CONNECTING, ORGANIZING, REFLEKTING, EXTENDING) BERBANTUAN MEDIA DIGITAL TERHADAP HASIL BELAJAR IPA DI SDN CIJANTUNG 06

This study aims to determine the effect of science learning outcomes using the CORE (Connecting, Organizing, Reflecting, Extending) learning model assisted by digital media in fourth grade students at SDN Cijantung 06. This research is a quantitative study using a Quasi Experimental research method with a Posttest-Only Control Group Design type. The population in this study were all fourth grade students at SDN Cijantung 06 in the even semester of the 2021-2022 academic year. The research sample consisted of 64 students from class IV-B and IV-C. The sampling technique in this study used the Cluster Random Sampling method. The research instrument was an objective test in the form of multiple choice questions consisting of 35 questions. The instrument was first tested at SDN Susukan 02 Pagi with 64 students. The calculation of the validity test uses the Biserial Point Correlation formula on 40 items in the form of multiple choice with 35 valid questions and 5 drop questions obtained. While the calculation of reliability test using KR-21 obtained of 0.85 with a very strong level of reliable interpretation. Furthermore, there is a requirement analysis test that is carried out, namely the normality test with the Lilliefors formula, then the data obtained are normally distributed from the experimental class and the control class. Then, the homogeneity test was calculated using Fisher's exact test to get the group variance data with homogeneous distribution. Then, hypothesis testing using t-test resulted in of 7,322 with a significant 5% which resulted in rejecting . The results of this study can be concluded that there is an influence of the CORE learning model (Connecting, Organizing, Reflecting, Extending) assisted by Digital Media on Science Learning Outcomes at SDN Cijantung 06.
PENGEMBANGAN MEDIA PEMBELAJARAN TEMA INDAHNYA KEBERSAMAAN UNTUK MEMBANGUN KEMAMPUAN LITERASI SAINS SISWA SEKOLAH DASAR

The aim of the reseach is to develop learning media that of comic to build students’ scientific literacy in the elementary school.This research is development reseach from Bargh and Gall which includes 10 stages. Subjects in this study are media expert,subject expert, and linguitic expert, elementary school teache, and student elementary school. The result of this reseach is learning media in the form of comics that we call this with KOMIK ETLI (ETNOSAINS LITERASI) tema indahnya kebersamaan untuk kelas IV Sekolah Dasar
PENGARUH PERAN ORANG TUA DAN FASILITAS BELAJAR DALAM PEMBELAJARAN DARING TERHADAP HASIL BELAJAR TEMATIK PESERTA DIDIK KELAS IV SD NEGERI

The problem in this research is the low thematic learning outcomes of fourth grade elementary school students in Cluster 1 Gadingrejo, Gadingrejo District. The purpose of this study was to analyze and describe the positive and significant influence between the role of parents and learning facilities in online learning with thematic learning outcomes. The type of research was ex-post facto correlation with a quantitative approach. The research population were 144 students and the sample was 62 students with probability sampling techniques. The data collection instruments in the form of a questionnaire used a Likert scale. Data analysis used multiple linear regression analysis and the obtained Fcount (40) &gt; Ftab (3.14) with a significance of 0.05 ≤ 0.05 and a contribution of 56%. The results of this research found that there was a positive and significant influence between the role of parents and learning facilities in online learning on the students' thematic learning outcomes.
PEMANFAATAN TEKNOLOGI AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN KOSA KATA BAHASA INGGRIS

The purpose of this study is to determine the use of augmented reality technology as a medium for learning English vocabulary. The research method used is the method of developing learning media which refers to Luther's multimedia development method. The development stage starts from concept, design, collecting material, assembly, testing, and distribution. All stages in the development method have been carried out and have realized English vocabulary learning media. The subjects of the study were students who had taken English courses at STMIK Widya Pratama. Data collection and testing techniques used interviews and questionnaires. This study uses quantitative descriptive analysis techniques.The results showed that the medium of learning English vocabulary by utilizing augmented reality technology. through testing the Graphical User Interface (GUI) that the application is easy to use and can help learning English vocabulary through the features contained in the application. Meanwhile, through the User Acceptance Test (UAT) that has been carried out, the audiovisual in the application can help explain English vocabulary material. In addition, the application can be used to help learn English vocabulary, both in the classroom and outside the classroom.
PassMark: User Authentication using Map Street View

Abstract Text-based user authentication systems have flaws like difficulty remembering long passwords, being easily sharable, and being vulnerable to security attacks like keyboard tracker, brute force attack, and shoulder surfing. Map-based passwords are easier to remember than text-based passwords. Image and map-based passwords are proposed to overcome these drawbacks and improve memorability. Image-based passwords have a smaller password space and are more difficult to create than map-based passwords. MacRae et al. proposed Geopassnotes, a map-based password that stores the coordinates of a point on a map as a password. The password is a series of digits that can be easily cracked using a brute force attack. To choose the password, the user must select points at a specific zoom level, which is difficult. We propose "PassMark," a map-based user authentication system that addresses Geopassnotes' two flaws. We used a 16-digit alphanumeric password, and selecting a password point on the map does not require a specific zoom level. A user-defined point on a map can also be used as a password.
PENGARUH KEPERCAYAAN DIRI, MOTIVASI DAN LITERASI TERHADAP PRESTASI AKADEMIK MAHASISWA UMS MASA PANDEMI COVID-19

The purpose was to investigate the influence of self-confidence, motivation and literacy on the academic achievement of the students of Muhammadiyah University of Surakarta in the pandemic Covid-19. This research was used a quantitative with an online questionnaire. The population in this research was an active students from 12 faculties with 146 respondents of samples, the calculation using the technique of calculation of random. Data analysis technique used is the test validity, test reliability, test of normality and regression test (anova) using the application of statistics SPSS 23. Validity indicates the degree of accuracy between the real data in the field and data objects of the researcher, while reability performed by repeated measurements. Normality test is used to determine the data that has been collected normal distribution. Regression test showed the influence between variables, i.e., free variables and bound in research. The results showed that the influence of selfconfidence, motivation and literacy on the academic achievement of the students of Muhammadiyah University of Surakarta in the pandemic Covid-19 has a positive influence. Seen on the influence of motivation has a value of influence by 72%, the influence of self-confidence has the value of the effect of 18%, while the influence of literacy has a value of influence pealing small amounting to 14%. Based on the results of research that has been done is bestowed if literacy have a slight impact on academic achievement of students. Therefore, the need for encouragement to the students to improve the culture of literacy in the form of advice and adequate infrastructure in the scope of the university even faculty with the aim to improve the academic achievement of students.
PENGGUNAAN LEMBAR KERJA SISWA (LKS) MATERI INFORMATIKA DALAM PEMBELAJARAN NEW NORMAL

This study aims to determined how the use of student worksheets (LKS) on Informatics material during learning in the new normal period. This effect can be seen from the learning outcomes of students in class X MAN 2 Agam. This was because there are problems found where there are still many students who have scores below the completeness criteria, especially in informatics material so that a learning innovation was needed so that students can be active in the learning process, especially through LKS. The type of research that has been used was a quasi-experimental with the population of all X grade students at MAN 2 Agam for the 2020/2021 academic year. Sampling was used purposive sampling technique based on test scores in order to obtain samples in class X. The data of this study were obtained from the final test in the form of objective questions as many as 25 items that have been tested. The data were analyzed using a t-test at a level of 0.05 so that tcount = 0.203 and ttable = 1.68 and dk = 39. Based on these results, the result is that the use of student worksheets (LKS) can affect student learning processes during the new normal. especially based on the results of learning Informatics material at MAN 2 Agam, this is due to reciprocity that can encourage students to understand learning briefly so that the teacher's role as a motivator is carried out properly.
Special Issue on Machine Learning and Natural Language Processing

The task of processing natural language automatically has been on the radar of researchers since the dawn of computing, fostering the rise of fields such as computational linguistics and human–language technologies [...]
Prediksi Kunjungan Wisata Kota Payakumbuh Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation

Tourism is a whole related elements which consist of tourists, tourist destinations, travel, industry and so on which are tourism activities and abundant natural wealth. The tourism sector is a very important service-based sector. Tourism is the fastest growing, vibrant and strong economic sector development, it also contributes to Gross Domestic Product (GDP), job creation, social and economic development. Artificial Neural Networks are computer programs that can imitate thought processes and knowledge to solve a specific problem. One of which is applied by the Artificial Neural Network to predict tourist visits. By using the Backpropagation method, it will be known the prediction of the number of tourist visits. The Backpropagation method is very useful for Artificial Neural Networks predicting the number of tourist visits the following year. The data processed in this study were 12 data sourced from the tourism section of the Payakumbuh City Youth and Sports Tourism Office. Furthermore, the data is processed using Matlab software. The stages of backpropagation are initialization, activation, training and iteration. The calculation of the network pattern used and the accuracy level of the expected error is continued. The result of testing this method is that it can predict tourist visits. So the level of accuracy is 95%. The prediction process has been carried out to predict tourist visits to the city of Payakumbuh. With the level of accuracy obtained is met, it can be used to help the Payakumbuh City Tourism Office increase the number of tourist visits in the future and further improve tourism management.
Iterative knowledge discovery for fault detection in manufacturing systems

An increasing attention is paid to fault detection in manufacturing. Researches are carried out in order to improve the quality and productivity in such systems. Machine Learning (ML) techniques are often used for fault detection tasks. Besides, ontology and semantic web technologies have a great potential to represent, organize and reuse the expert knowledge. In this paper, a Knowledge-based fault detection method for manufacturing processes is proposed, relying on Ontology and Machine Learning techniques. The approach is iterative in the sense that new faults can be detected by ML and added as new knowledge into the ontology periodically. It eases fault detection in industrial contexts, where faults are generally rare. Experiments conducted with seven fault-detection oriented UCI datasets have shown the effectiveness of our proposal. It is composed of a real-time classifier with a reject option, to enable the detection of new defects based on the existing knowledge described in the ontology. When new defect signature is discovered, it is added into the ontology as new knowledge through a semantic mapping. As a result, we have shown the ability of the proposed architecture to detect new faults and to increase the overall accuracy as new faults are included in the ontology. It also conducts to an evolving ontology that will be used in further research to support a generalization process to enable the detection of known defects in new contexts.
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference

Semantic segmentation for scene understanding is nowadays widely demanded, raising significant challenges for the algorithm efficiency, especially its applications on resource-limited platforms. Current segmentation models are trained and evaluated on massive high-resolution scene images ("data level") and suffer from the expensive computation arising from the required multi-scale aggregation("network level"). In both folds, the computational and energy costs in training and inference are notable due to the often desired large input resolutions and heavy computational burden of segmentation models. To this end, we propose DANCE, general automated DAta-Network Co-optimization for Efficient segmentation model training and inference. Distinct from existing efficient segmentation approaches that focus merely on light-weight network design, DANCE distinguishes itself as an automated simultaneous data-network co-optimization via both input data manipulation and network architecture slimming. Specifically, DANCE integrates automated data slimming which adaptively downsamples/drops input images and controls their corresponding contribution to the training loss guided by the images' spatial complexity. Such a downsampling operation, in addition to slimming down the cost associated with the input size directly, also shrinks the dynamic range of input object and context scales, therefore motivating us to also adaptively slim the network to match the downsampled data. Extensive experiments and ablating studies (on four SOTA segmentation models with three popular segmentation datasets under two training settings) demonstrate that DANCE can achieve "all-win" towards efficient segmentation(reduced training cost, less expensive inference, and better mean Intersection-over-Union (mIoU)).
Grammatical Errors Analysis in the Recount Text Writing of the Semester 3 Students of English Education Department of IAIN Takengon

The aim of this research study was at finding out the types of grammatical errors in writing recount text of the semester 3 students of English education department of IAIN Takengon. The participants were 50 students of the semester 3 students of English education department of IAIN Takengon in the academic year 2017/2018 that chosen randomly. The study consists of five steps, namely data collection, error identification, error quantification, error description, and error explanation. The research instrument was in the form of a writing assignment. The data were obtained from the students’ writing products. The results of the study are as follow: The total errors found in the students’ writing test are 1179 that divided into fourteen types of error, as they: spelling (14.16%), finite verb (13.15%), preposition (10.96%), error in verb tense (10.52%), pronoun (8.31%), content of usage (7.55%), content of meaning (5.68%), redundancy (5.51%), non-finite verb (5.43%), agreement of singular and plural (4.75%), unintelligibility (4.41%), word choice (3.99%), word order (2.97%), and error in punctuation (2.71%).
THE USE OF GRAMMARLY TO ENHANCE STUDENTS' ACCURACY IN WRITING DESCRIPTIVE TEXT

The purpose of the study is to find out the use of Grammarly to enhance students’ skill in writing descriptive text and to figure out the students’ perceptions on the implementation of Grammarly to enhance the accuracy of writing descriptive text. This case study involves 30 students at class VIII as research participants. The data of this study are gathered from the questionnaire, the interview, and the online classroom observation. The data analysis uses four techniques including the frequency table, content analysis, coding, and triangulation analysis. The findings reveals that the use of Grammarly can enhance the accuracy of writing descriptive text. The findings also shows that most of students give positive perceptions towards the use of Grammarly in writing descriptive text because it can make the students motivated to enhance their writing skill, makes it easy for them to find out the mistakes in writing a text, avoid plagiarism, more thoroughly when there are writing errors, and they are more confident when writing a text using Grammarly. Finally, future researchers are expected to conduct the research quantitatively with similar topic to enrich this study..Keywords: Descriptive text; Grammarly; Writing Accuracy; Writing Skill
AN ANALYSIS OF STUDENTS’ ERRORS IN USING POSSESSIVE ADJECTIVES IN THEIR WRITING TASKS

This study is purposed to analyze 1) the kinds of possessive adjective errors which are mostly made by students in their writing tasks; and 2) the causes of possessive adjective errors which are mostly made by students in their writing tasks. A case study is used as a research design which engaged the students at the tenth grade of a vocational school in Singaparna, Tasikmalaya. By means of purposeful sampling technique, 17 students at class X-TKR 1 are selected as the participants of this study. This study uses two instruments namely, the students’ worksheet on writing test and the semi-structured interview. The result shows that ‘his’ and ‘her’ were the kinds of possessive adjective errors which are mostly made by students in their writing tasks. The results also presented that the students make errors in using and in writing possessive adjectives because they are not aware of possessive adjectives, their grammar is still poor which lead to boredom, unmotivated, and uninterested in learning. The strategies or ways applied by the students are effective to overcome their errors in using and in writing possessive adjectives in their writing tasks so that they are able to identify their errors and difficulties, to correct their errors, and to be focus in learning grammar, especially in learning possessive adjectivesKeywords: errors; possessive adjectives; writing tasks
EFL STUDENTS’ PERCEPTIONS ON SUPPORTED SCHEMATA TOWARDS TRANSLATING VARIED TEXT USING GOOGLE TRANSLATE

This study reports the analysis of students’ perception of using schemata towards Google Translate results and their strategies to use their schemata in improving Google Translate results. The approach of this research was a case study. Observation and interviews were used as the instrument for collecting the data. The subject of this study was students of grade three in the English Education Program at one private University in Ciamis and the data collection was derived from online class observation and interviews with translating lecturers. The results showed that the use of schemata is needed in translating text from Google Translate. The results also showed that the outline of students’ strategies to improve Google Translate results can be conducted by checking vocabulary, and sentence structure, and using their understanding or schemata. The researcher suggested for the students of the English Education Program practice translating more and keep expanding their views to make the quality of their translation even more perfect..Keywords: Google Translate; Perception; Schema.
INVESTIGATING THE IMPACT OF E-LEARNING ASSESSMENT USING PORTFOLIO ON WRITING ENGAGEMENT: INDONESIAN ISLAMIC EFL HIGH SCHOOL STUDENTS’ PERCEPTION

This paper reports an analysis of students’ perception on the impact e-learning assessment using portfolios on writing engagement. This research employed a case study approach. Questionnaires were used as data collection instruments. The participant of this study was students of Islamic High School of grade 10 in Garut and the data collection was obtained from the questionnaire with EFL Students. The results showed that the use of e-learning assessment through portfolio was very influential on students in collecting assignments. The results also show that the student's perception of e-learning assessment through the portfolio is very influential on students ' writing engagement.Keywords: assessment; e-portfolio; EFL students; perception; writing