Reviewerly/exHarmony huggingface dataset:
STUDENTS’ PURPOSES FOR READING BOOK

Stating a purpose for reading may help shaping the way the students read. It could save time and improve understanding. This qualitative study explored the university students’ purpose for reading book. The participants were a class of law faculty students learning English as a general purpose in a state university in Jambi. The main source of data was the document in the form of students’ reading report. The document was analyzed using qualitative approach. To clarify the data gained, semi-structured interview was applied. It is revealed that students’ purposes for reading book was for content and they use low order thinking verb such as to know to realize it. For more comprehensive book reading, it is suggested that the students use different verbs such as to interpret, to classify, or to explore for stating their purposes.&#x0D;
ENGLISH STUDENTS’ DIFFICULTIES IN COMPLETING READING TOEFL SECTION AT EIGHT SEMESTER AT UNIVERSITAS JAMBI

This study aims to determine whether TOEFL reading skills are more difficult for English study program of students at Universitas Jambi, based on TOEFL reading skills given to students in the eighth semester at Universitas Jambi , and whether TOEFL reading skills are difficult for English Study Program students at Universitas Jambi. The data of this study were collected using mixed method, quantitative design with a survey study and qualitative design with a descriptive study approach involved 23 participants. The participants in this study were eight semester students at English study program in Universitas Jambi. This study used the data collection TOEFL reading test,TOEFL reading score, and interview. TOEFL reading test was used for describing students’ difficulty. Interview was used for investigating whether the students’ experience the difficulties or not. The TOEFL reading test and an interview were main instruments in this study. TOEFL reading score was a supplementary instrument that can assist the researcher in selecting the students who needed a low grade to be questioned. Firstly, the students’ experience the difficulty in reading section of TOEFL test such as lack of accuracy in reading, availability of time during test, and lack of vocabulary. Secondly, the result of this study showed that the ordering of difficulty items in TOEFL reading skills encompasses responding of transition questions (0.9), finding topic/main idea (0.21), finding specific information (0.21), and finding stated details (0.26).
THE USE OF GOOGLE TRANSLATE BY STUDENTS IN WRITING A NARRATIVE ESSAY

Learning English means learning the four skills, namely listening, speaking, reading, and writing. Of the four skills, writing is the most difficult skill to acquire. Fortunately, in this 21st century, technological developments are very helpful for us, especially in language. Many translation tools are very easy to use. One of the translation tools that is available to use by people nowadays is Google Translate. This research focused on the use of Google Translate in the writing narrative essay of 3rd semester English education students at Jambi University and used qualitative approach. The results of this research showed that students use Google Translate to help them solve their problems with vocabulary and grammar. Even though Google Translate could not fully help students to improve their writing skills, it is known to have a contribution to making students more independent, they will work alone, not depending on lecturers and friends. Students used Google Translate to ease their work in writing.
Analysis of the distractor of the multiple-choice test using classical test theory (CTT) and item response theory (IRT)

This study aimed to analyzed the functional distractor based on the results of the multiple-choice test using CTT and IRT. Data obtained mathematics test at one of the junior high schools (grade 7) in Sidoarjo in the 2021-2022 academic year. The test consists of 20 items, which are a collection of questions that have been standardized in the school curriculum. One hundred examinees attending this mathematics test. The analysis used Iteman 4.3 software for analysis distractor using CTT, and R program for analysis pseudo-guessing’s parameter using 3PL IRT model. The result showed that all items have distractors well function it (Prop. &gt; 0,05) in CTT. Meanwhile, with IRT, 8 of the 20 questions were not good because the pseudo-guessing index was &gt; 0.25. The result of this study provided important information for future study to examine the ability estimate when a test's fixed feature is the item-specific characteristic utilized for pseudo-guessing.
About Unitary States and Commutative Gates in a Two-Qubit Quantum System

This work is devoted to the construction and study of commutative gates for a two-qubit quantum system. Using four-dimensional algebra developed by the Kazakh mathematician Abenov M.M. all groups of commutative gates have been constructed, and among all states of a two-qubit quantum system, unitary states with which a specific gate is connected have been identified. An explicit type of gate is described that transfers a quantum system from one unitary state to another unitary state. The proposed approach opens up new possibilities for the design of quantum algorithms not only for two-qubit quantum systems, but also for $n$-qubit quantum systems.
Understanding the Counterproductive Effects of Micromanagement in Leadership Using the Lenses of Subordinate’s Employees

Some managers believe in micromanagement system of leadership that are generally perceived to be safe, effective and assures them full control on workers and productivity. Micromanagement is a style of management where there is control of workers through excessive observation and control throughout the stages of completion of workflows within the organisation. It entails closer supervision of the subordinates throughout all the stages of the complete workflow engagement. In real essence, micromanagement type of leadership has been observed for many years to exhibit tendencies of counter-productivity amongst the workers as it robs them the rights to execute their assigned duties to the best of their abilities and skills. Micromanagement has been known for many years for its ability to stifle worker’s innovations and creativity and hence rob them their self-esteem. It has further been also observed as one of the highest sources of employee demotivation. Besides, it also tends to promote mistrust, and creates an atmosphere of insecurity thereby leading to counter productivity. This study is grounded on the theory of socialisation. Socialisation is the theory that helps individuals to be socially accepted. In return their behaviours helps society function smoothly. The principals of socialisation helps to learn new values, norms and customs. The main objective of this study therefore was to establish the counterproductive nature of micromanagement system in leading employees. The study was significance in that it highlighted the demerits of micromanagement through the lenses of the individual employees. This study employed qualitative research methods. The research used a case study research design. Data was collected using semi-structured questionnaires, focused group discussions and observations while the research results were presented using thematic analysis.
The Effect Of Using Anticipation – Reaction Guide Strategy On Students’ Reading Comprehension In Recount Text At The Eighth Grade Of SMPN 3 Palembayan

This Research was done due to several problems found: Students ability in reading were low, lack of interesting in reading, and students were difficult to comprehend the text. Anticipation Reaction Guide strategy is related to this problem because the Anticipation Reaction Guide is enabled strategy to help the students who may hold misconceptions regarding a specific concept based on the lesson in reading. Therefore, this research was to investigate the effect of using Anticipation Reaction Guide Strategy on Students’ Reading Comprehension. This research used quantitative method with quasi-experimental design by comparing two classes. The researcher used a cluster sampling technique because teacher recomendation and these class have similar characteristics. The total sample was 53 students of VIII 1 and VIII 2. The researcher used multiple test wich consisted of pre test and post test were applied in collect the data. Based on the data analysis used T- test Formula. The result from post test both of classes, it was t-obtained (2.73) was higher than the t-table (2.009). So it means that alternative hypothesis (Ha) was accepted while the null hypotesis (Ho) was rejected. So, it means that using anticipation-reaction guide strategy can help students to increase their reading comprehension.
Implementation of Cornell Note-Taking to Improving Students' Reading Comprehension

The main objective of this study was to determine the significant difference in improving students' reading comprehension before and after being taught using the Cornell Note-Taking method. This type of research is quantitative research using a quasi-experimental research design. This study sampled 62 of 287 students. Researchers collected data with pre-and post-tests. The test is multiple-choice with recount text material. The analysis revealed a significant difference between the experimental and control classes. After using Cornell Note-Taking, the experimental class scored 61.03 on the pre-test and 76.52 on the post-test, a 15.49 increase. Without treatment, the control class scored 54.32 pre-test and 67.87 post-test, a 13.55 increase. Experimental class scores were higher. Meanwhile, through the Independent Samples T-test, the T-test sig. (2-tailed) shows 0.000 &lt; 0.050, which means Ha is accepted and Ho is rejected. On the other hand, the result of the t-table test using a significance level of 5%, the resulting t-test value is greater than the t-table (5.410 &gt; 1.670). The resulting p-value of 0.000 is smaller than the significance level of 0.050, so the results of applying the Cornell Note-Taking method are proven effective and can improve students' reading comprehension skills.
Kebijakan Pendidikan Implementasi Program Wajib Belajar 12 Tahun

Education is an investment for the creation of quality Human Resources (HR). Through education, one can easily increase one's potential so that one can improve one's life in a better direction. Various efforts have been made by the Government to improve the quality and equity of education. One of the efforts is by holding a 12-year compulsory education program. The policy of the 12 year compulsory education program is expected to be able to succeed and improve the quality of human life. Writing this article using descriptive method and literature study. This research states that the 12-year compulsory education program in Indonesia has not run optimally. There are still areas that have not been able to implement the 12-year compulsory education program. As in Bogor district, which has not maximized the 12-year compulsory education program due to conditions that do not support access to education. Even so, the government continues to strive for this program to be realized properly. The government is trying to make strategies or steps that are expected to anticipate problems in education in Indonesia. This is evidenced by the success of the 12-year compulsory education program in Lampung, namely the large number of Lampung people who have successfully carried out education for 12 years, the large number of schools built in the city and in the interior as well as the participation of the Lampung people who support the implementation of this program..
Improving Students’ Ability In Reading Narrative Text By Using Reading Aloud And Question And Answer Technique At Smp Negeri 1 Langowan

This research is intended to prove whether reading aloud and the question-and-answer technique are effective or not in improving students’ ability to read narrative text at SMP Negeri 1 Langowan. This research is classified as "classroom action research" because it was conducted in a cycle. The second-grade students were taken as a sample consisting of 19 students. The writer used a reflective journal, field notes, and tests in collecting data. The data were analyzed through the "triangulation" method. It is a qualitative data analysis technique in which related data are compared and evaluated to explain the parallel characteristics. The result shows that by applying reading aloud in Cycle 1, it was found that only 36.84 percent, or 7 students, of the 19 students could understand the text given with some comprehension, and it was categorized as unsatisfactory. By the application of question and answer in Cycle 2, it shows 52.63 percent of students, or 10 students, made progress in the teaching-learning process of reading ability development, and it was categorized as quite satisfying. In Cycle 3, the majority of students made great progress, with 68.42 percent or 12 students making great progress, and it was categorized as satisfying. &#x0D;
Developing English Reading Material for The Tenth Grade of Computer and Network Engineering Students at SMK N 4 Payakumbuh

There are several problems found in this research, such the material used by teacher was not related to the major, textbook for students was not provide the material related to their major, and the material only taken from the internet by teacher randomly. This research is research and development which uses the theory of Sugiyono. The stages in this development are research, developing, validation, and testing. The subjects in this study were 36 students from the tenth grade of Computer and Network Engineering. The need analysis shows, students want to learn reading material that is related to their major and useful when they work after graduation. For validation by expert, the English reading material is categorized as "Very Valid" with the percentage score obtained is 83%. The practical results that have been given to teacher and students, the English reading material is categorized as "Very Practice" with score 92%. And the last, the effectiveness of the English reading material is effective, it gets a significant value of 0.00 which is &lt;0.05,it means that the English reading material is effective. So overall, the developing of English reading material is accordance with the needs of students majoring in computer and network engineering.
Upaya Penerapan Evaluasi Membaca Di Kelas Tinggi

Reading is a cognitive activity or process that aims to find various information contained in written information. This means that reading is a thought process to understand the contents of the text read. Evaluation of learning to read is a series of activities or steps taken after the completion of the main activities to obtain information about the results of learning to read, then manage and interpret them using benchmarks and goals and certain criteria. This type of research is library research, namely research conducted by analyzing and making written literature scientific journals as well as the main source. So the evaluation of learning to read is the process of determining students’ understanding, acceptance, categorization, analysis and reasoning abilities, as well as the accuracy of students’ pronunciation and intonation when taking reading tests in the target language. The purpose of learning to read is so that students can understand and use language in practice, it is not enough to measure it with mere mechanical abilities. The assessment of reading ability must be seen from the general reading ability as a whole, so that when assessing skills other than mechanical skills, it is also necessary to measure reading ability, for example understanding the content or meaning of sentences. The purpose of this study is to find out how the effort to implement the evaluation of students’ reading learning.
Shallow Model and Deep Learning Model for Features Extraction of Images

Applications trend today on artificial intelligence (AI). The latest development in the field of machine learning (ML) comes from deep learning which is expected to cause a powerful improvement in the field of artificial intelligence. Features Extraction(FE) is very important. These properties make it possible to characterize the issue and create models that explain a system or process. A variety of image preparation techniques or data sets, Different approaches are done to obtain a feature that will be used for artificial intelligence (AI) algorithms that projects involving ML or the trendiest and most well-liked fields, including deep learning. Algorithm selection techniques are vital in academic machine-learning research. This article discusses different categorization algorithms and new efforts to increase classification accuracy.
Traceability Automation in Coffee Production: A Case Study on QR-Code Integration to Optimize Manual Steps

Agriculture and coffee production are vital to Brazil’s economy, generating jobs, driving regional development, and contributing significantly to the trade balance, making Brazil a leading coffee producer and exporter. In this context, this scientific article proposes automating coffee production traceability using QR-Codes to optimize processes, enhance quality, safety, and sustainability in the supply chain under the Industry 4.0 paradigm. We employ BPMN modeling to delineate coffee production stages, leveraging QR-Codes for data collection and registration during activities like harvesting, washing, drying, processing, storage, and farm certification validation. QR-Codes streamline operations, reduce errors, and enhance traceability, involving actors ranging from harvesters to quality personnel, inspectors, and clerks. The study scrutinizes coffee transfer from rural producers to warehouses, optimizing stock and delivery management. The main results obtained were the significant reduction in the number of employees, the reduction of activities and consequently the time, finally, the assertiveness to complete the process.
REFERENTNE GRUPE KAO PERSPEKTIVE

In spite of ambiguity, reference group has become an increasingly popular concept, utilized in hypotheses concerning a variety of social pehnomena. The restriction of this concepts to a single referent, namely, group whose perspective is used as a frame of reference by the actor, will increase its usefulness as an analytic tool. Shared perspectives arise through participation in common communication channels, and the cultural pluralism of modern mass societies arises from the easy accessibility of a multiplicity of channels. The concept of reference group, if defined with greater precision, can greatly facilitate research on the manner in which each actor’s orientation toward his world is structured. Key Words: Group perspective, Reference frame, Channels of communication, Social worlds
Archive of E.K. Pekarsky as an Information Resource

Within the framework of this article, an attempt is made to study the information potential of documents from the personal collection of Eduard Pekarsky, stored in the St. Petersburg branch of the Archive of the Russian Academy of Sciences, the source analysis of which will help determine the directions for its further scientific use. The presented documents and historical sources constitute a scientific and historical basis for studying the issues of the formation of Sakha writing and literature of the Sakha people. Numerous documents and diaries, letters and notes from the archival collection of the ethnographer and linguist are the objects of attention of sci-entists and researchers of the development of the Yakut region, the study of the Sakha language, historians, lexicographers, ethnographers. As a result of the study, the main directions for the effective scientific use of documents from E.K. Pekarsky’s personal archive are determined, a panorama of the relationship between an individual and society is revealed, and themes that are significant for the author of the archive are focused.
Preface

It is our great pleasure to have you at the 2023 5 th International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2023), which took place in Changchun, China from June 30 th to July 2 nd , 2023 (hybrid conference). ICAITA 2023 was successfully held, and received unanimous praise from various experts and scholars all over the world. ICAITA 2023 existed as an international forum for academic communications between experts and scholars in the fields of artificial intelligence technologies and applications. It promoted the research and developmental activities in related fields and scientific information interchange among all the participants, establishing research connections for them to find global partners for potential collaboration. After months of well preparation and hard work, the Proceedings of ICAITA 2023 covering a bunch of papers, having been checked through rigorous review and processes to meet the requirements of publication, are smoothly published. These papers feature but are not limited to the following topics: Artificial Neural Networks, Computational Theories of Learning, Pervasive Computing and Ambient Intelligence, Fuzzy Logic and Methods, etc. We had about 300 participations both as speakers and participants, including senior experts, research talents, and young scholars from enterprises, research institutes, and universities worldwide. During the keynote speech part, each keynote speaker was given 30–40 minutes for keynote speech. Among them, Professor Philippe Fournier-Viger from Shenzhen University, China performed a keynote speech on Advances and Challenges for the Automatic Discovery of Interesting Patterns in Data. He first briefly reviewed early studies on designing algorithms for identifying frequent patterns. Then, he presented an overview of recent challenges and advances to identify other types of interesting patterns in more complex data. Topics that were discussed included high utility patterns, locally interesting patterns, and periodic patterns. Lastly, the SPMF open-source software was mentioned and opportunities related to the combination of pattern mining algorithms with traditional artificial intelligence techniques for intelligent systems were discussed. The insightful speeches of each keynote speakers triggered interesting discussions and a good number of informal talks between all the participants. We would like to express our gratitude to the organizers, keynote speakers and all the participants of ICAITA 2023, for their fruitful work and contribution to the success of the Conference. We are thankful to all the reviewers for providing constructive criticisms, stimulated comments and suggestions to the authors. Particularly, our special thanks go to Journal of Physics: Conference Series, for the endeavor of all its colleagues in publishing this paper volume. May this event be a spark that ignites many more new inventions in the fields related to artificial intelligence technologies and applications! The Committee of ICAITA 2023 List of Committee Member is available in this pdf.