Reviewerly/exHarmony huggingface dataset:
Pengaruh Proses Menulis dan Kognitif terhadap Kemampuan Menulis Teks Naratif Siswa

This study aimed to investigate the aspects of an individual's writing process that play an important role in improving the quality of writing products, as well as the role of individual cognition on the quality of writing products. A factorial analysis design was used in this study. The results of this study, first, the aspects of spontaneous revision and vocabulary revision affect the quality of writing. In addition, it was also found that students with better reading ability tended to do more intensive online revision. Second, the process aspects that affect the quality of students' narrative writing are spelling ability and the number of revisions. In addition, students' cognitive abilities also have a significant influence on their writing ability. The aspects of cognitive ability that influence are oral language ability, reading, vocabulary selection, capitalization, and spelling. The process aspects that play an important role in improving narrative writing skills are spelling and reading cognitive abilities. The processes that contributed significantly to improving writing quality were oral language ability, attention, and working memory.
Tree Structures, Algorithms, and Performance

One of the most universally useful versions of a graph we have discussed (especially in Chapter 5) is a tree. It shows up in sales organizations where regions roll up to districts, which in turn roll up to sites and then to individual salespersons. Rolling up and comparing sales at each level year over year is one of the most important reports many organizations have. Rolling up sales by region is also be one of my primary demonstrations for each of the tree implementations I include in the individual chapters that will cover these methods in greater detail.
SQL Graph Tables: Extended Topics

In Chapter 3, I presented the basics of using SQL Server’s graph tables. In many ways they resemble typical SQL Server tables with rows and columns, SELECT statements to access data, and such. But some parts were way different, especially how the internal graph database is structured. Working with pseudo-columns maybe a new concept, unless you have worked with partitioning (and their use in partitioning is not as user facing as using $node_id, $from_id, etc.).
The Factors Affecting Students’ Difficulties in Conducting Thesis at English Language Educational the University of Batanghari Jambi

This research was included in quantitative research which aims to find out the problems and factors experienced by students so that it affects their difficulties in completing the thesis. The subjects of this study were 19 students of the 2018 English Department of Batanghari Jambi University who had completed their thesis. This research collected data through questionnaires distributed online using Google form. In this research, three main factors are identified that affecting undergraduate thesis writing. First, psychological factors which include self-esteem, anxiety, and motivation. Furthermore, the second factor is socio-cultural factors which include the social distance among each student and the social distance between students and supervisors. Lastly, linguistic factors which include domain error analysis and extent of error analysis. The results showed that psychology factors got a percentage of 40.36%, socio-cultural factors got a percentage of 29.66%, and linguistic factors got a percentage of 29.96%. Thus, it can be concluded that the most influencing factor in the difficulty of students completing the thesis is the psychological factor.
Students’ Motivation on Speaking Skill at the X Grade of Vocational High School 1 Jambi City

The purpose of this study was to find out what is the motivation of students in terms of speaking skills in class X SMKN 1 Jambi City. This study uses quantitative methods and data collection is done by distributing questionnaires to students. The subjects of this study were 31 students of class X SMKN 1 Jambi City. The results of this study indicate that there are two student motivations in speaking skills, namely intrinsic motivation, namely motivation to be active or not need to be stimulated from outside because everyone has the urge to do something and extrinsic motivation, namely motivation that is motivational. lively and functional. with external stimuli. Thus, from the results of observations and questionnaires, this research concluded that students' speaking skills were caused by intrinsic motivation and extrinsic motivation.
Multimodal Dialogue Generation Based on Transformer and Collaborative Attention

In view of the fact that the current multimodal dialogue generation models are based on a single image for question-and-answer dialogue generation, the image information cannot be deeply integrated into the sentences, resulting in the inability to generate semantically coherent, informative visual contextual dialogue responses, which further limits the application of multimodal dialogue generation models in real scenarios. This paper proposes a Deep Collaborative Attention Model (DCAN) method for multimodal dialogue generation tasks. First, the method globally encode the dialogue context and its corresponding visual context information respectively; second, to guide the simultaneous learning of interactions between image and text multimodal representations, after the visual context features are fused with the dialogue context features through the collaborative attention mechanism, the hadamard product is used to fully fuse the multimodal features again to improve the network performance; finally, the fused features are fed into a transformer-based decoder to generate coherent, informative responses. in order to solve the problem of continuous dialogue in multimodal dialogue, the method of this paper uses the OpenVidial2.0 data set to conduct experiments. The results show that the responses generated by this model have higher correlation and diversity than existing comparison models, and it can effectively integrate visual context information.
Image Captioning Method Based on Layer Feature Attention

The high-level features of images are often used to represent the scene features in the image captioning task, because they contain rich semantic information, but the high-level features can only express a feature of global information, and the local information of small objects is easy to be ignored, which makes it difficult to generate the description of small objects, and thus cannot meet the description requirements of finer granularity. To describe the rich semantic information in the image and retain more description of small objects, an image captioning method based on layer feature attention is proposed. Combined with the existing structure of Transformer decoder, the layer feature attention module is designed. Using the multi-layer features of the image, each decoder stack layer can determine the attention to the features of each layer when decoding, and dynamically learn the similarity between the features of each layer and the sequence semantic features to improve the quality of the statement.
Fiber Optic Gyroscope Random Error Modeling Based on Improved Kalman Filtering

A modeling method based on time series autoregressive model (AR) is proposed to address the problem of the existence of random errors in fiber optic gyroscopes, which affects their output accuracy. Based on the time series modeling requirements, the original data is first preprocessed, and then the autoregressive model order is determined according to the AIC criterion, and then the time series autoregressive model is established. On the basis of modeling, the traditional Kalman filtering algorithm and the improved adaptive filtering algorithm proposed in this paper are applied to filter the established signal model, and the filtering results are compared. Finally, the filtered noise coefficients are analyzed by using Allan's variance. The analysis results show that after Kalman filtering, the random error coefficient of the fiber optic gyro has been significantly reduced, which proves the correctness of the random drift model; after the improved adaptive filtering, the random error of the fiber optic gyro has been significantly reduced, which proves the correctness and applicability of the modified filtering method.
Using More Information to Determine Trajectory Association: An Improved Method Based on Weighted Cascade Hausdorff Distance

The problem of ship trajectory association is well recognized in the overlapping area cross multiple sensors. In this paper, an improved method based on weighted cascade Hausdorff distance, with a variable time sliding window, is proposed. This method can effectively solve the problem of ship target fusion in the field of border and coastal defense, thereby providing a basis for the next step of ship monitoring and management. The similarities of tracks from different radars are determined by the proposed method, which combines the information of both ship position and motion characteristics. Several experiments are designed, with both real and simulated track data as input, to evaluate the effectiveness of the proposed method. The results showed that the method, due to the configurable parameters of time sliding window, has good universality to meet the needs of different radar frequency. The best performance among different configuration settings has the better advantage of 10%-20% improvement compared with the traditional Hausdorff distance model with fixed time window.
Research on Blockchain Consensus Algorithm for Secure Data Sharing on Industrial Internet Platform

The traditional industrial Internet platform adopts a centralized data storage model, and the security sharing of data generated by terminal devices is a major bottleneck that hinders the development of industrial Internet. Along with the geometric growth of terminal data, protecting the security and integrity of data has become the core research area of the Industrial Internet. Blockchain is distributed, open, transparent and tamper-evident, and can provide a reliable underlying service to realize a distributed data security sharing system. Therefore, this paper proposes a blockchain-based data security sharing model for industrial Internet platforms, with a distributed blockchain network as the core to build up a decentralized data security sharing service. Meanwhile, to address the problems of high consensus latency, low throughput and performance, and no support for node dynamic management of the practical Byzantine fault-tolerant (PBFT) algorithm used in blockchain, a simplified consistency protocol and a new node management mechanism are introduced to achieve dynamic management of nodes while reducing the complexity of algorithm communication.
The ability of Students in Pronunciation English Palatal Alveoral Fricative and Palatal Alveoral Affricative Consonant at Ninth Grade of Junior High School 17 Jambi City

Pronunciation is one of the components in speaking ability. This component plays very important role in communication, because by pronouncing the English words correctly students are able to avoid misunderstanding when they are speaking, therefore to be able to say English words fluently and correctly, the students should have good mastery in pronunciation especially in pronouncing English palatal alveolar fricative and affricative consonant sounds. This research is aimed at describing students” ability to pronounce English palatal alveolar fricative and affricative consonants (∫ and t∫) and find out in which position (initial, medial, and final) are the most difficult to pronounce. The design of this research was descriptive quantitative method approach. This research was conducted Junior High School Number 17 Kota Jambi in January 2022. in conducting this research, this research administered the pronunciation test one time, the. The population of this research was the ninth-grade students at SMPN 17 Jambi City in academic year 2021-2022, the total number of them were 340 students. As the sample was the ninth-grade students, they consist of 10 students. This research used purposive sampling technique in taking the sample if this research. The result of this research showed that on the test there were 4 students belong to very good categories, 2 student belongs to good categories, 3 students belong to fair categories, 1 student belongs to weak category and none of the student belong to poor category. the ability of the students in pronouncing the English palatal alveolar fricative (∫) and (t∫) affricative consonant was 78%, this is categorized as good. The students” ability in pronouncing sound (∫) belongs to very good category (85%) and sound (t∫) belongs to good category (73%)
The Influence of Probing-Prompting Learning Model Towards Reading Comprehension of English Students at the Eleventh Grade of Senior High School No. 1 Jambi City

This research aims to find out whether there is any influence of probing-prompting learning model towards reading comprehension of English students at the eleventh grade of Senior High School No. 1 Jambi City. This type of research is a quasi-experimental with a total population of 347 people. Through simple random sampling technique, 34 students of Class XI IPS 2 were selected as the control class and 36 students of Class XI IPS 3 were selected as the experimental class. The technique of collecting data is by distributing questions to research respondents. In this research, the data analysis technique was using the t test on the Statistical Package for the Social Sciences (SPSS) for Windows version 25 program. The results of this research indicate that (1) students’ reading comprehension in English subject taught using the probing-prompting learning model obtained an arithmetic mean of 75.89; (2) students’ reading comprehension in English subject taught using the lecture-based learning model obtained an arithmetic mean of 69.24; and (3) students’ reading comprehension in English subject taught using the probing-prompting learning model are higher than students’ reading comprehension in English subject taught using lecture-based learning model with a value of Sig. 0.000 &gt; 0.05. Furthermore, there is an influence on the use of the probing- prompting learning model towards students’ reading comprehension as evidenced by the increase in students’ learning outcomes.Keywords: Probing-Prompting Learning Model, Reading Comprehension
TRANSITIVITY ANALYSIS OF STUDENTS IN WRITING RECOUNT TEXT AT TENTH GRADE SENIOR HIGH SCHOOL 3 JAMBI CITY

The objective of the research is to investigate the use of transitivity of students in writing recount text and to find out the most dominant process of transitivity used. In this research, this research used descriptive qualitative method. Subject of the research in this study is students at tenth grade of Senior High School 3 Jambi City in academic year 2021/2022. This research used cluster sampling techniques and as a result the participants in this study is students in class X MIPA 3. The data is collecting by writing test. The data analyzed were 370 clauses taken from recount text written by thirty four students’ X MIPA 3 of tenth grade Senior High School 3 Jambi City. In these clauses, all process types can be found with varieties of the usage. The results were: material process (63%), mental process (15%), behavioral process (8%), verbal process (3%), relational process (5%), and existential process (6%). As for the participants, almost all can be found in students’ recount texts: actor, goal, range, senser, phenomenon, token, value, carrier, attribute, behaver, sayer, verbiage, and existent. Material process is the most process found in the data, it is about 63% or 232 clauses. Material process refers to process of doing and happening. According to Boardman (2008, p. 287) the significant common grammatical patterns of recount text that focused on specific participant, use of material process or action verb, use Circumstance of time and place and temporal sequence of events. The least appear is verbal process.
STUDENTS’ PERCEPTION OF USING VIDEO DUBBING TECHNIQUE FOR SPEAKING SKILL IN GUANG MING SEVENT GRADE JUNIOR HIGH SCHOOL JAMBI

This present study investigated the Students Perception of Using Video Dubbing Technique for Speaking Skill in Guang Ming Seventh Junior High School. Furthermore, it aimed to know How are the students’ perception in learning speaking skill by using video dubbing technique. This research is using qualitative method and phenomenology approach. The data analysis in this research are the interview protocol which use purposive sampling to gather the data. The research findings highlighted the following themes. Themes related to students’ experiences in learning Speaking by using Video Dubbing Technique. The finding showed that the students feel fun in learning Speaking. Video Dubbing makes learning more efficient in terms of time use. The students stated that video dubbing technique is an Interesting Method to learning speaking. And also by using video dubbing technique the students stated that using this method made the learning more fun and no time consuming.
Enhancing Students’ Reading Skills Through Google Doc as Alternative E-Learning for Essay Exercise at Senior High School 3 Jambi City

Reading is a result of interaction between writer’s mind and the reader’s mind. Which in this process the reader tries to create the meanings that intended by the writer. In addition, the readers have discovered by find out what readers main idea of their reading. The purpose of this research is finding out whether the google doc is effective for an English essay exercise to improve students English Reading skill as they doing e-learning through school from home program. The objective of this research to find out the effectivity students in enhancing their English writing by conducting an essay exercise digitally through the google doc as an alternative e-learning. The research design in this research is quantitative. The research conducted Senior High School 3 Jambi City. The population of this research is eleventh grade of science IV class students. The data obtained through quantitative research with the test. Overall, after the google doc was implemented in the test, the result of the test is quite good, in the test result, all of each entire students dominates the entire middle score categorize which the average score is from 70. Moreover, the mean score results from the entire of all students score result is 68.8 which is means that the mean score is in good criteria category. In addition, it can be concluded that there is a significance change of students English Reading before and after implementing google doc as English essay exercise.Key Words: Reading Skill, E-learning, Essay Exercise, Google Doc.
Students’ Perceptions in Online Learning toward Reading Comprehension at Tenth Grade of SMA Negeri 1 Kota Jambi

This study investigated the students’ perceptions in online learning toward reading comprehension at tenth grade of SMA Negeri 1 Kota Jambi. A quantitative research design was used in this study. The participants are 36 students from tenth grade MIPA 4 of SMA Negeri 1 Kota Jambi. The instruments used to collect the data were questionnaire. The questionnaire consisted of 30 statements. Google Form was used to obtain the data and the result was used to analyze the data. As a result of the study, the researcher concluded that the benefits of online reading have had a substantial effect on the knowledge of students’ vocabulary, and the students have strongly focused on the educational evaluation they read during online learning. The data reported the highest percentage is 56% of the students strongly agreed that online media supported their activity in reading during online learning. However, the lowest percentage is 5% of the students disagreed that online media supported their activity in reading during online learning. The results show that the mean and standard deviation between students’ perceptions in online learning toward reading comprehension are 77.00 mean and 16,696 standard deviation, which is the standard deviation is higher than the mean. It shows that students' perceptions are considered positive because most of the students agree that online learning helped them to improve their reading comprehensions skills.Keywords: Students’ Perception, Online Learning, Reading Comprehension.
Potensi pengembangan produk baru onde-onde edamame [Potency of edamame onde-onde new product development]

Edamame onde-onde is a new traditional food product processed using edamame soybeans. As a new product, it is necessary to know the best formulation of onde-onde edamame that potential consumers prefer. In addition, edamame onde-onde may have a risk of failure in the process of launching in the market. This study aimed to determine the formulation of edamame onde-onde products according to predetermined criteria, analyze perceptions of edamame onde-onde products, and plan marketing concepts related to segmentation, targeting, and positioning. Perceptions and marketing plan data were analyzed using cross-tabulation, clusters, and multidimensional scaling tests. The best formulation for making edamame onde-onde was the 30% formulation, which used edamame beans to glutinous rice flour ratio of 3:1. The selected target market was female consumers aged 36-45 years, with a diploma degree, and private employees with Rp income. 5,000,000-Rp. 10,000,000 and expenses of Rp. 1,000,000-Rp. 5,000,000. Product position attributes that differentiated edamame onde-onde products were a delicious taste, easy to obtain, affordable prices, and highly nutritious.Keywords: edamame onde-onde, perception, plan marketing concept, product development
Prediction of Student Graduation Predicts using Hybrid 2D Convolutional Neural Network and Synthetic Minority Over-Sampling Technique

Abstract. With the rapid growth of technology, educational institutions are constantly looking for ways to improve their services and enhance student performance. One of the significant challenges in higher education is predicting the graduation outcome of students. Predicting student graduation can help educators and academic advisors to provide early intervention and support to students who may be at risk of not graduating on time. In this paper, we propose a hybrid 2D convolutional neural network (CNN) and synthetic minority over-sampling technique (SMOTE) to predict the graduation outcome of students.&#x0D; Purpose: Knowing the results and how the Hybrid 2D Convolutional Neural Network (CNN) and Synthetic Minority Over-sampling Technique (SMOTE) algorithms work in predicting student graduation predicates. This algorithm uses a dataset based on family background variables and academic data.&#x0D; Methods/Study design/approach: This study uses the Hybrid 2D CNN algorithm for the classification process and SMOTE for the minority class over-sampling.&#x0D; Result/Findings: The prediction accuracy of the model using SMOTE is 96.31%. Meanwhile, the model that does not use SMOTE obtains an accuracy of 95.32%.&#x0D; Novelty/Originality/Value: This research shows that the use of a Hybrid 2D CNN algorithm with SMOTE gives better accuracy than without using SMOTE. The dataset used also proves that family background and student academic data can be used as a reference for predicting student graduation predicates.
Attitude of Prospective Teachers towards the Curriculum and Teaching Learning Process of Pre- Service Education Programs in Islamabad

This paper examined the attitude of prospective teachers’ attitude towards the curriculum and teaching learning process of pre-service education programs in Islamabad. All the B.Ed and M.Ed students from both public and private universities were conveniently taken as sample. Total 300 students were taken as sample. A self-designed survey was elected in this study.