Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE GROUP INVESTIGATION (GI) TERHADAP MOTIVASI BELAJAR MAHASISWA SEMESTER II DALAM PEMBELAJARAN ILMU DASAR KEPERAWATAN

Based on the conditions experienced by the second-semester students of the Nursing Undergraduate Study Program at IIK NU Tuban, shows that motivation and learning outcomes are still low and tend to be less than optimal. One of the main causes is boredom. It's not boring teaching material, it's just that the lecturers are still not able to apply the models, strategies, methods, and learning media or approaches used. Efforts made by researchers to increase learning motivation are by applying Group Investigation (GI) learning techniques. With the application of this method, it is hoped that lecturers, students, and researchers will be able to determine the effectiveness of the Group Investigation (GI) method in increasing learning motivation for second-semester students in Learning Basic Nursing Sciences at IIK NU Tuban. This study used a pre-experimental design, with a one-group pre-test and post-test design. The sampling method used total sampling with a total of 139 respondents. The instruments used are SOPs and questionnaire sheets. The observation sheet is used to determine whether the GI method can be carried out according to the SOP. Data analysis used the Wilcoxon statistical test with SPSS 26. The results of the statistical test obtained Asymp. Sig. (2-tailed) p = 0.000 where the value of p &lt; (0.000 &lt; 0.05) then H1 is accepted, which means that there is an effect of the application of the Group Investigation (GI) Method on the Learning Motivation of Semester II Students in IDK Learning at IIK NU Tuban. Based on these results, it can be concluded that the application of the Group Investigation (GI) method can increase the learning motivation of second-semester students in IDK learning at IIK NU Tuban.
Pemetaan Daerah Rawan Bencana Tanah Longsor di Wilayah Kecamatan Silo Kabupaten Jember

Silo District, Jember Regency is an area with a mountainous topography dominated by relatively steep slopes. Many landslides occurred in the Silo District area. Based on the results of observations, in 2022 to July there have been 8 landslides in the Silo District area. Landslide disasters can be minimized by mapping landslide-prone areas. The mapping method used is a weighted overlay method for each parameter. The landslide parameters used in this study are: parameters of soil depth, rainfall, slope, soil type and land use. The final results of data processing for each parameter in this study will produce a map of landslide-prone areas in Silo District, Jember Regency. . Based on the research results, the landslide vulnerability classes are grouped into four classifications, namely low, medium, high and very high. The results showed that the Silo District was an area with high vulnerability (54%), medium vulnerability (37%), very high vulnerability (9%) and low vulnerability (1%). Mulyorejo Village is the village with the widest very high vulnerability classification in Silo District.
Aplikasi SABARSON (Si Penjaga Kualitas Rumah Sakit) Sebagai Early Warning System

Determining the quality of hospital service is about the efficiency of bed management. In some hospitals, Barber Johnson graphs are still described in Microsoft Excel, but the BOR indicator has not been displayed. SABARSON: The Guardian of Hospital Quality as an Early Warning System is a creative innovation in system design that can be used to determine the quality of a hospital by displaying a graph of the four indicators BOR, LOS, BTO, and TOI. This type of design uses the system development method with the development life cycle (SDLC) approach with the stage of problem identification, reference search, dataflow and concept preparation, color palette preparation, system design, and system implementation. The purpose of this study is to help and facilitate medical record workers in describing or displaying a Barber Johnson graph quickly and precisely. This study resulted in several interface design results such as login, BOR, TOI, LOS, BTO, report recapitulation, and Barber Johnson graphic.
Analyzing Errors: An Examination of Simple Present Tense Usage in Descriptive Text

&#x0D; &#x0D; &#x0D; This study investigates the common errors made by students when using the simple present tense in writing descriptive texts. The aim of the study is to identify the specific types of errors that occur and to explore the factors contributing to these mistakes. The research adopts a descriptive qualitative method to gather data, employing a written test as the data collection tool. To categorize the errors, a surface strategy taxonomy is utilized, which includes four categories: omission, addition, misformation, and misorder. By analyzing the collected data, a total of 214 errors were identified, with 95 instances of omission errors, 22 addition errors, 75 formation errors, and 22 ordering errors. The findings highlight that the most prevalent type of error made by students is omission, while misformation, misorder, and addition errors are relatively less frequent. In addition to error analysis, the study explores the reasons underlying these errors, particularly focusing on interlingual and intralingual transfer. Interlingual transfer refers to the influence of a student's first language on their second language usage, while intralingual transfer refers to the influence of existing knowledge and patterns within the second language itself. These factors contribute to the occurrence of errors in the simple present tense usage within descriptive texts.&#x0D; &#x0D; &#x0D;
Higher Students' Anxiety Level and Factor in Writing Essays through Google Docs

&#x0D; &#x0D; &#x0D; This study aimed to investigate the level and factors of anxiety experienced by higher students while writing essays through Google Docs. It used a quantitative data collection method collected through questionnaires adapted from the Second Language Writing Anxiety Inventory (SLWAI) by Cheng and ESL Writing Anxiety by Zhang using Five-Point Likert Scale. There were 10 participants in this study selected by using convenience sampling. The results showed an average anxiety score of 63, indicating moderate anxiety levels. The study identified that a lack of sufficient writing practice was students' primary cause of anxiety. Overall, this study provides valuable insights into the factors contributing to students' anxiety levels while writing essays through Google Docs. It can inform educators' strategies to support students in their writing assignments.&#x0D; &#x0D; &#x0D;
Survival Analysis of Students Not Graduated on Time Using Cox Proportional Hazard Regression Method and Random Survival Forest Method

Higher education is a place to educate the next generation of the nation in terms of academic and non-academic. Basically every college tries to maximize the graduation of its students, both in quantity and quality. The undergraduate education program is targeted to complete 8 semesters of study or can also be taken in less than 8 semesters and a maximum of 14 semesters. Many factors are thought to affect the length of student study, both internal and external factors. Based on the factors that are thought to affect the length of study of the student, it is necessary to conduct research to determine what factors have a significant effect on the length of study of the student. The method that can be used to determine these factors is survival analysis using cox proportional hazard regression and random survival forest. Factors that affect the length of study using cox proportional hazard regression is GPA, while by using the random survival forest method, the factors that influence the length of study of students are GPA, gender, and part time. Based on the comparison using the C-Index method, random survival forest is a suitable method to use in the data because the C-Index error value is 26.9% which is smaller than the cox proportional hazard which is 27.8%.
The Interferences of Acehnese to Indonesian Used by Shopkeepers in Medan Johor District

This is a research which discuses interference. Language interference is the language phenomenon common in bilingual speakers. It is one of bilingualism aspects that occurs on the level of structure and cultural sense whether oral or written, especially when somebody is learning his or her second language. The main problem in this research is what kind of interference is found in shopkeepers and how is the form of interference from Acehnese language to Indonesian in several shops in Medan Johor district. Interference refers to a deviation in using a language by including another language system. The method used is descriptive qualitative which describes a situation in the form of words that are analyzed orally and writing and consider the opinions of other people called sources. As the result of the research, it can be concluded that the interference of the Acehnese language to Indonesian speech that occurs in the conversations of buying and selling transactions in several stores in the Medan Johor district includes morphological interference, and syntactic interference. Factors that cause Aceh language interference to Indonesian speech in Medan Johor District, especially in some traders include intralinguistic is related to the language itself while extralinguistics includes individual factors and socio-cultural factors.
EXPLORING TEACHER'S IMPLEMENTATION OF AUDIO LINGUAL METHOD, CHALLENGES, AND TECHNIQUES FOR IMPROVING STUDENT'S VOCABULARY MASTERY

This study aimed to explore the EFL teacher's implementation of the Audio-lingual Method, investigate his challenges and explain his technique to improve students' vocabulary mastery. The case study was carried out in SMA Pasundan Cikalongkulon Cianjur. The respondents were 32 students and an English teacher chosen purposively to be involved in this study. The instruments of data collection were observation and interview. The result showed that the EFL teacher implemented Audio-lingual Method well. It was proved that he applied its principles namely imitation, using the target language communicatively, separating the native and the target language linguistic system, modeling, repetition, reinforcement, verbal and nonverbal stimuli, and English culture. Moreover, the student's average score improved, There were some challenges namely limited time, student motivation, different capabilities, and the classroom condition. Moreover, there were some techniques such as dialog memorization, repetition drill, transformation drill, and question and answer drill, and the most applied techniques were repetition drill, transformation drill, and question and answer drill. It is recommended that English teachers implement Audio-lingual Method for teaching vocabulary. Further study could be conducted to investigate how the students feel when learning vocabulary using the Audio-lingual Method.
IMPROVING STUDENTS' ENGLISH-SPEAKING MOTIVATION AND ACHIEVEMENT THROUGH FIELD TRIP VIDEOS

An essential component of a student's learning process is motivation. The primary issue, specifically VII A in SMP Khadijah 2 Surabaya academic year 2022/2023, was identified by the researcher as a lack of desire during speaking class. The pupils were apathetic, easily bored, did not participate in the learning process, and did not give the assignment their full attention. The purpose of the study is to implement the use of field trip videos to increase the students' English speaking motivation and achievement in VIIA students of SMP Khadijah 2 Surabaya so the lack of motivation and achievement can be solved. The research question for this study is how can the use of field trips videos motivate students to speak English? And, how can the use of field trips videos improve students 'English speaking achievement? To address the issue of low motivation and achievement, the researcher employed classroom action research to install field trip videos. To assess the researcher's data, qualitative and quantitative methodologies are both used. The qualitative approach is used to gather data utilizing field notes, surveys, observations, and interviews. For each cycle, data from the speaking pre- and post-tests are gathered using the quantitative method. The findings show that field trip videos improves students' English speaking motivation and achievement in speaking class. This can be seen from the improvement in each cycle. Nineteen of the twenty-four students received score that exceeded the Minimum Mastery Requirement (KKM).
UTILIZING COMPUTER BASED TEST APPLICATIONS TO MEASURE EMPLOYEE ACHIEVEMENT AT CLASS II IMMIGRATION OFFICE SUKABUMI

The use of exam applications in Kantor Imigrasi Kelas II Sukabumi still uses open sources software, therefore it doesn’t fit the needs. Existing exam applications are still limited in available features. This community service aims to support schools in adopting CBT (Computer Based Test) in administering exams. The problems identified include weaknesses in the existing software and limitations in immigration officer literacy regarding its use. The method of implementing this community service is Service Learning. Activities consist of surveys and CBT software development, training, and mentoring. The implementation of the initial study identified the weaknesses of the existing application, namely regarding aspects of effectiveness and the required features that were unavailable. CBT development is conducted by enhancing usability through adding features and convenience. Training and mentoring are carried out to improve mastery and effectiveness of CBT use. The evaluation showed an increase in the immigration officer understanding of the application, the ability to make evaluations, satisfaction and the effectiveness of using the application. Other outputs were also fulfilled: the CBT application (UHW-CBT Kantor Imigrasi Sukabumi version), training modules, user manuals, intellectual property rights, and publications. This program has increased the adoption of CBT, which can be seen from the aspects of CBT software availability, use, literacy, a form of evaluation and recap, and test score ranking. The follow-up plan for this program is ongoing assistance according to partner needs.
Image Processing: Algorithms and Systems XXI Conference Overview and Papers Program

Abstract Image Processing: Algorithms and Systems continues the tradition of the past conference, Nonlinear Image Processing and Pattern Analysis, in exploring new image processing algorithms. Specifically, the conference aims at highlighting the importance of the interaction between transform-, model-, and learning-based approaches for creating effective algorithms and building modern imaging systems for new and emerging applications. It also reverberates the growing call for integration of the theoretical research on image processing algorithms with the more applied research on image processing systems.
Computational Imaging XXI Conference Overview and Papers Program

Abstract More than ever before, computers and computation are critical to the image formation process. Across diverse applications and fields, remarkably similar imaging problems appear, requiring sophisticated mathematical, statistical, and algorithmic tools. This conference focuses on imaging as a marriage of computation with physical devices. It emphasizes the interplay between mathematical theory, physical models, and computational algorithms that enable effective current and future imaging systems. Contributions to the conference are solicited on topics ranging from fundamental theoretical advances to detailed system-level implementations and case studies.
Media Watermarking, Security, and Forensics 2023 Conference Overview and Papers Program

Abstract The ease of capturing, manipulating, distributing, and consuming digital media (e.g., images, audio, video, graphics, and text) has enabled new applications and brought a number of important security challenges to the forefront. These challenges have prompted significant research and development in the areas of digital watermarking, steganography, data hiding, forensics, deepfakes, media identification, biometrics, and encryption to protect owners’ rights, establish provenance and veracity of content, and to preserve privacy. Research results in these areas has been translated into new paradigms and applications for monetizing media while maintaining ownership rights, and new biometric and forensic identification techniques for novel methods for ensuring privacy. The Media Watermarking, Security, and Forensics Conference is a premier destination for disseminating high-quality, cutting-edge research in these areas. The conference provides an excellent venue for researchers and practitioners to present their innovative work as well as to keep abreast of the latest developments in watermarking, security, and forensics. Early results and fresh ideas are particularly encouraged and supported by the conference review format: only a structured abstract describing the work in progress and preliminary results is initially required and the full paper is requested just before the conference. A strong focus on how research results are applied by industry, in practice, also gives the conference its unique flavor.
Engineering Reality of Virtual Reality 2023 Conference Overview and Papers Program

Abstract Virtual and augmented reality systems are evolving. In addition to research, the trend toward content building continues and practitioners find that technologies and disciplines must be tailored and integrated for specific visualization and interactive applications. This conference serves as a forum where advances and practical advice toward both creative activity and scientific investigation are presented and discussed. Research results can be presented and applications can be demonstrated.
Human Vision and Electronic Imaging 2023 Conference Overview and Papers Program

Abstract The conference on Human Vision and Electronic Imaging explores the role of human perception and cognition in the design, analysis, and use of electronic media systems. Over the years, it has brought together researchers, technologists, and artists, from all over the world, for a rich and lively exchange of ideas. We believe that understanding the human observer is fundamental to the advancement of electronic media systems, and that advances in these systems and applications drive new research into the perception and cognition of the human observer. Every year, we introduce new topics through our Special Sessions, centered on areas driving innovation at the intersection of perception and emerging media technologies.
INTERPRETING CRISIS WHILE IN CRISIS (REFLECTIONS ON PSYCHOANALYTIC WORK IN HYBRID WARFARE)

The history of psychoanalysis shows that most of the most important psychoanalytic discoveries and innovations in the technique of psychoanalysis and psychoanalytic training were created in rather difficult economic and social conditions. Russia’s war against Ukraine is also not overlooked by the domestic and global psychoanalytic community. The psychoanalyst, like his patients, is a part of society and cannot be separated from social upheavals. Emotional experiences of a psychoanalyst in crisis social circumstances, provided that they are interpreted and mastered by him, not only do not harm the analytical work with patients, but will provide new opportunities for interpretation and understanding of their experiences. In this work, I wanted to share my own experience of experiencing the revolutionary events of the end of 2013-2014, which I witnessed, and in some I took a direct part in, to show the dynamics of my own emotional experiences and how they resonated with the experiences of patients, to show the importance of the ability to understand and interpret such experiences. The ability to experience strong feelings and not lose clarity of thinking is the key to the success of a psychoanalyst’s work, and it brings him to a higher quality level of understanding of patients. Chronologically and according to the increasing tension of events, I divided the main part of the work into two acts with a prologue and an epilogue and used quotes from "Hamlet, Prince of Denmark" by William Shakespeare, which seemed appropriate to me. Today, many specialists who work with people are experiencing their own crisis and the threat of emotional and professional burnout. I hope that my own experiencing such a double crisis will be useful to my colleagues, and will also show the expediency and effectiveness of psychoanalytic work with patients under such difficult circumstances.
Automatic Extractive Summarization for Japanese Academic Papers by LDA

The demand for automatic summarization of newspaper headlines and article is increasing and various studies on automatic summarization are currently conducted.However, there are only a few studies on summarization of Japanese documents compared to those for English documents.In this study, we verify whether existing summarization methods can be effective for academic papers written in Japanese. First, we demonstrate the effectiveness of topic-based extrac tive summarization methods Latent Semantic Analysis (LSA). We then show that more effective topic-based extractive summarization can be achieved by using Latent Dirichlet Allocation ( LDA).
Idea Generation Support Using Conceptual Attributes

We support idea generation from the conceptual attribute database. We make it possible to make analogies, such as “If we make a cat larger, it becomes a tiger,” from the conceptual attribute database. We also confirmed the usefulness of the McRae dataset. Against the results of using the two analogy methods, we made a four-level evaluation (“very good,” “good,” “OK,” and “bad”). In the first analogy method, the accuracy rate of the proposed method was 0.84 when the cases other than “bad” were judged to be correct. The accuracy rate of using word2vec was 0.13. In the second analogy method, the accuracy rate of the proposed method was 0.67 when the cases other than “bad” were judged to be correct. The accuracy rate of using word2vec was 0.19. The performance of the proposed methods was reasonably high. It was also higher than using word2vec. Consequently, we obtained that the McRae database used in the proposed methods was useful.
A Transparent and Immutable Voting System Utilizing Blockchain

Democracy has been a major part of many of the current nation’s political landscape for many years, it is a form of government and authority selection where power is held by the people of the nation as they would be able to participate in the decision-making process and have a say in the policies and laws that may affect them in terms of the nation’s growth and development. However, many countries in the world are still using traditional voting method which is inefficient and inconsistent as there had been major controversies surrounding the usage of the system that it may introduce various exploitation from political parties to increase their chances of winning the election, which would lower the confidence of voters considerably as they may think that their vote is insignificant and would not bring any changes to the overall results. Thus, this paper would like to develop a 3-tier architecture blockchain based electoral system under the local blockchain of Ganache, integrated with front-end interfaces which allows the voters to vote while ensuring their anonymity in the process. The system would introduce verification feature whereby voters could verify their own selection of candidate to ensure scrutiny of the system, without worrying that their selection of votes would be traced back to them.