Reviewerly/exHarmony huggingface dataset:
Teacher Perceptions on the Use of the Wordwall.Net Application as an English Vocabulary Learning Media

This study aims to determine the teacher's perception of using the Wordwall.net application as a medium for learning English vocabulary. This research is descriptive research with a quantitative approach. The research data was the teacher's perception of using the Wordwall.net application as a medium for learning English vocabulary. The data source is teachers at SDN Makassar 06, East Jakarta. Data was collected using a questionnaire. The data from the questionnaire were then tabulated, analyzed, and interpreted. This study found positive perceptions from teachers towards the use of the Wordwall.net application as a medium for learning English vocabulary. This study concludes that teachers are satisfied with learning media Wordwall.net to use in teaching English vocabulary
The Use Of Learning Media on Students' Learning Outcomes

The purpose of this study was to determine the effect of learning media on student learning outcomes in integrated social studies subjects at State Junior High Schools 1 Bulango Utara. This study uses a quantitative approach, with survey research methods. The data used are primary data obtained from distributing questionnaires to class VIII students of State Junior High Schools 1 Bulango Utara. The number of sampling in this study amounted to 32 respondents. The data analysis technique used simple linear regression. The results of the study indicate that there is an influence of learning media on student learning outcomes for integrated social studies subjects for class VIII State Junior High Schools 1 Bulango Utara. The magnitude of the influence of Learning Media on Student Learning Outcomes is 22.7% while the remaining 77.3% is influenced by variables not examined.
E-Learning Strategies and Academic Performance during Covid-19 Pandemic

This research aims to measure the impact of e-learning in its three dimensions (quality of lecturers, quality of information content, and quality of electronic system) on the academic performance of students at Kingdom University in the Kingdom of Bahrain. The main objective of the study is to measure the impact of e-learning on the academic performance of students at Kingdom University in the Kingdom of Bahrain. Getting acquainted with the reality of e-learning and identifying the reality of academic performance. The study population is represented all the students of Kingdom University in the Kingdom of Bahrain, around 1800 male and female students, based on the record of the admission and registration department at the university. The study applied the simple random sampling method, where the link for filling out the survey form was sent to a number of students. Within the University Student Council, which in turn distributed them to 60 male and female students through Google Docs, it was possible to retrieve 53 survey forms with complete responses which qualify for analysis, a response rate of 88.3% . The current research adopted the DeLone and McLean (2003) scale for measuring e-learning, which includes three dimensions: (the quality of the lecturers, the quality of educational content, and the quality of the electronic system), The practical importance is represented in the possibility of making recommendations that may enhance the level of academic performance of students at Kingdom University in the Kingdom of Bahrain.
The Effect of Distance Learning on The Learning Outcomes

The data in this study were obtained by distributing questionnaires to students, so the data in this study were primary data. In this study, the researcher used a quantitative method with a simple linear regression technique, with the results showing that distance learning during the Covid-19 pandemic had a positive and significant effect on student learning outcomes for integrated social studies subjects in class IX of SMP Negeri 4 Gorontalo City. After doing the normality test and testing the hypothesis using the regression and correlation analysis formula, for the results of this study the regression equation is Y =7,693+〖0,571 _x. In this study, the variable learning outcomes of integrated social studies subjects in class IX State Junior High School 4 Gorontalo City can be explained by distance learning during the Covid-19 pandemic by 40.9%, and for the remaining 59.1% influenced by other variables that are not examined in this study such as student interest in learning, motivation of parents, student learning styles, as well as school environmental factors and students' play environment
Pengaruh Kompetensi Pegawai Terhadap Pengelolaan Arsip Statis Pada Dinas Kearsipan dan Perpustakaan.

This research employed a quantitative approach with a survey research method. The data used were primary data obtained from distributing questionnaires to the employees at the Office of Archives and Library of Gorontalo Province, with a total sample of 32 respondents. At the same time, the data analysis technique used was simple linear regression. The finding denoted that there was an effect of employee competency on the management of static archives at the Office of Archives and Library og Gorontalo Province. The effect of employee competency on the management of static archives was 45.3% while the remaining 54.7% was affected by other variables that were not examined in this research.
Fake Job Listing Detection Using Machine Learning Approach

Abstract: To avoid fraudulent posts for jobs on the internet, an automated tool using machine learning-based classification techniques is proposed in the paper. Different ML Models are used for training the machine for checking fraudulent posts on the web and the results of those models are compared for identifying the best employment scam detection model. It helps in detecting fake job posts from an enormous number of posts.
Deep Self-Organizing Cube: A Novel Multidimensional Classifier for Multiple Output Learning

Multi-dimensional classification (MDC) task can be considered the most inclusive description of all classifications tasks, as it joins multiple class spaces and their multiple class members into a single compound classification problem. The challenges in MDC arise from the possible class dependencies across different class spaces, as well as the imbalance of labels in training datasets due to lack of all possible combinations. In this paper, we propose a straightforward, yet efficient, MDC deep learning classifier, named “Deep Self-Organizing Cube” or “DSOC” that can model dependencies among classes in multiple class spaces, while consolidating its ability to classify rare combinations of labels. DSOC is formed of two ndimensional components, namely the Hypercube Classifier and the multiple DSOC Neural Networks connected to the hypercube. The multiple neural networks component is responsible for feature selection and segregation of classes, while the Hypercube classifier is responsible for creating the semantics among multiple class spaces and accommodate the model for rare sample classification. DSOC is a multiple-output learning algorithm that successfully classify samples across all class spaces simultaneously. To challenge the proposed DSOC model, we conducted an assessment on seventeen benchmark datasets in the four types of classification tasks, binary, multi-class, multi-label and multi-dimensional. The obtained results were compared to four standard classifiers and eight competitive state-of-the-art approaches reported in literature. The DSOC has achieved superior performance over standard classifiers as well as the state-of-the-art approaches in all the four classification tasks. Moreover, in terms of Exact Match accuracy metrics, DSOC has outperformed all state-of-the-art approaches in 77.8% of the cases, which reflects the superior ability of DSOC to model dependencies and successfully classify rare samples across all dimensions simultaneously.
Comparison of Machine Learning Techniques in the Classification of Parkinson’s Desease Sufferers

Parkinson's disease is a progressive and relatively common neurodegenerative disorder in the central nervous system where sufferers can have difficulty moving. This disease has a high mortality rate in the world of around 9.3 million in 2021. Meanwhile, in Indonesia, it is estimated that as many as 12,980 people die every year due to Parkinson's cases. This increase in cases of death is due to the lack of information about the initial symptoms and dangers of the disease, besides it is important to know how to prevent it early. Early detection of Parkinson's disease can prevent symptoms of a certain age thereby increasing life expectancy. The existence of a computer-based system for diagnosing Parkinson's disease is called a classification system where the system applies the Machine Learning method. This study aims to compare the performance of algorithms in the classification system of people with computer diseases. In this study, it used methods in Machine Learning such as K-NN, Multi Layer Percepteron (MLP), Linear Regression and Support Vector Machine (SVM). The data set in this study was obtained using the Weka application. The dataset used was Parkinson's Disease data totaling 195 rows of data taken from the UCI Machine Learning Repository Datasets. The results of the experiment based on the four algorithms showed that the poor performance was the Multi Layer Percepteron approach to regression data with an RSME value of 0.459. Meanwhile, the k-Neural Network Algorithm is a good classification technique forParkinson's problem with an RMSE value of 0.1895.
EVALUASI KEBUTUHAN DAN KETERSEDIAAN AIR IRIGASI DALAM RANGKA PENINGKATAN HASIL PERTANIAN

The availability of water in irrigation areas can affect agricultural productivity. Water balance must be maintained so that there is no shortage of water. Cikunten II has an area of 4.362 ha, mostly in the Tasikmalaya district. This study aims to analyze the water requirement and balance. Data analysis used the KP01 guidelines and the Cropwat program. The data analysis results obtained differences in reference plants' evapotranspiration results using the Modified Penman method in KP and Pennman–Monteith in the Cropwat program. The difference between the two methods is 133,83% due to the difference in albedo coefficients. The effective rainfall for paddy and secondary crops, the KP method analysis is lower than the Cropwat simulation of 110.10%. Availability of water using data from the Ciwulan weir with a reliability of 80% obtained a maximum discharge of 2,73 m3/sec. The water requirement was calculated during planting periods I, II, and II. The KP method is greater than the Cropwat method with a percentage of 277.42% in analyzing water requirements in the Paddy-Paddy-plants cropping pattern. The availability of water in the Cikunten area using Cropwat has fulfilled the needs marked by a more stable k factor than the KP01 method.
Phase Unwrapping Applied to Comparative Measurement in Speckle Interferometry Using a Single Reference Beam Technique with Linbo3 Crystal as a Recording Mediumphase Unwrapping Applied to Comparative Measurement in Speckle Interferometry Using a Single Reference Beam Technique with Linbo3 Crystal as a Recording Medium

A new method in comparative speckle pattern interferometry is introduced, to visually compare two similar objects (master and test) and display the comparison result in the form of an interference pattern showing the difference in displacement. Various phase stepping algorithms are applied, using the stored master and test objects in the photorefractive material (LiNO3 crystal) which is used as a recording medium. Recording and analysis of the difference correlation fringes that coexist with the sum correlation fringes is performed using phase wrapping, phase unwrapping algorithms and real experiments.
Development of a formative sequence for prospective science teachers: The challenge of improving teaching with analogies through the integration of infographics and augmented reality

Teachers often use analogies to introduce unfamiliar or complex concepts. However, several studies have found that their knowledge on how to use them is limited or superficial. Similarly, the integration of technological resources in the teaching-learning processes is not always carried out efficiently, which evidences the need to improve teachers' digital competence. This paper provides a formative sequence on the use of analogies in teaching through mediation of technological resources, implemented in the context of the initial training of secondary education teachers. The results show a positive assessment by the students, a change in their perceptions on the subject and some progress in their classroom proposal designs. The conclusion is that it is necessary to train future teachers to deal with common teaching problems in a reflective, comprehensive and innovative way, which will undoubtedly be one of the challenges of education in the 21st century.
The Android-based comic of Gajah Mungkur Dam: Improving mathematical representation and critical thinking abilities

This research aims to: (1) develop a fesible Android-based comic media of Gajah Mungkur Dam, and (2) reveal the effectiveness of the developed comic media in improving mathematical representation and critical thinking abilities on the materials of work and energy. The research subjects are senior high school students, consisting of 262 students for the empirical testing, 36 students for the limited trial, and 72 students for the field trial. This research is research and development applying the 4D model, consisting the stages of definition, design, development, and dissemination. The research instrument includes a validation sheet, evaluation sheet, questionnaire, lesson plans, comic media, and mathematical representation and critical thinking ability tests. The developed comic media contains an introduction, comic’s work and energy materials, users’ manual, instructional video, and discussion column. The data analysis used the MANOVA test. The finding shows that the developed Android-based comic media of Gajah Mungkur Dam is feasible to use with the assessment score of 3.70 or in a very good category from the validator, and score of 3.10 or in a good category from students in the limited trial. The MANOVA test result shows that there is a significant difference between the control class and experimental class. The developed comic is effective in improving mathematical representation ability in the small effect category and in improving critical thinking skill in the medium effect category.
Students’ perceptions of online education during Covid pandemic

The main objective of this research study is to describe the perceptions of an undergraduate group of students regarding virtual education in times of COVID-19. Taking into consideration the factors that were evaluated in this study, a quantitative approach was carried out by applying a Likert-type questionnaire with items divided into four categories: Resources and conditions for online education, experience between face-to-face and virtual lessons, relationships with partners and teachers, and teachers’ digital abilities. The result shows that virtual education due to Covid-19 has gotten a generally favorable perception from undergraduate students since they considered their teachers to have assumed their roles in order to fulfill their educational needs.
SURVEY ON CONTEXT-DRIVEN IMAGE-BASED VIRTUAL TRY-ON NETWORK

User-experience on fashion and clothing e-commerce websites can be enhanced with the help of Image-based virtual try-on techniques but, preexisting methods produce limited quality try-on results from input images In this paper author's propose a Context-Driven Virtual Try-On Network (C-VTON) which addresses these limitations and efficiently transfers desired clothing items on to the target subjects even under challenging poses and the presence of self-occlusions the proposed network consists of two components, (i) a geometric matching procedure that efficiently aligns the target clothing with the pose of the person in the input images, and (ii) a powerful image generator that utilizes various contextual information when synthesizing the final tryon result and produces a photo-realistic and convincing try-on result C-VTON has been tested against datasets like VITON and MPV and the results when compared with other state-of-the-art techniques found to be the most realistic and visually convincing significantly improves on the existing state-of-the-art.
Providing a Solution to Reduce Energy Consumption in IoT-Based WSNs Based on Node Activity Management

Providing a Solution to Reduce Energy Consumption in IoT-Based WSNs Based on Node Activity Management
Peran Komisi Irigasi Dalam Program Pengelolaan Sistem Irigasi Partisipatif Guna Peningkatan Produksi Padi Wilayah Asahan: Studi Kasus pada Bappeda Kab.Asahan

This study aims to (i) identify various achievements and implement the work agenda of the Irrigation Commission, (ii) assess the institutional effectiveness of the Irrigation Commission, and (ii) recommend improvement of progress towards the Asahan Government Irrigation Commission. Data collection methods used Secondary data with different time frames and strategies were used in this study, including a combination of literature and surveys, complemented by a critical approach. Evaluation of the performance of the Irrigation Committee using a quick assessment method involving three variables, namely organization, secretariat and funding, described in 10 variables with 25 indicators to evaluate the performance of the Irrigation Commission. Preparation and determination of RTTG, RTTD for the planting period 2022 – 2025. The results of the evaluation of the irrigation committee's performance contained 70 points in the medium performance category. The above review explains that a number of obstacles arise in the institutional management of the Irrigation Commission, including the availability of experts and resources in various fields. Implementation of the activities of the Irrigation Committee, funding support for the operations of the Irrigation Committee and the Secretariat is still low.&#x0D; Keywords: effectiveness, irrigation commission, Asahan
Blockchain based solution for academic certificate management system using smart contract

Educational certificates serve as proof of qualification for their recipients. These certificates are subject to forgery and manipulation. The traditional way to verify the authenticity and integrity of certificates has not shown much efficiency in preventing fraud. Universities and companies need to collect, keep and update an unmanageable number of documents and papers from the applicants, in order to verify the competencies that the applicant claims and to determine forged documents. Another concern is about cyber criminals trying to hack the university’s centralized databases to alter the data. Moreover, corrupt officials may be bribed to illegally change a student’s academic data without fulfilling the requirements. Blockchain technology has emerged as a new approach to building decentralized reliable systems. It provides an effective and efficient way to protect sensitive data from subsequent change or deletion. Smart contracts decentralize the critical services in the certification process to improve transparency, accuracy, data privacy, and reliability. Unlike the traditional verification methods, the system will be designed in a decentralized way by using blockchain technology. Decentralization enhances the security and robustness features of the system by avoiding single points of failure and removing the need to put trust in any single party.
Pengembangan Aplikasi Hybrid Mobile Sosiometri sebagai media pendukung pembelajaran di laboratorium bimbingan konseling

Sosiometri merupakan instrumen pengukuran hubungan sosial pada sebuah kelompok individu dengan dasar penelitian terhadap relasi sosial dan status sosial dari setiap anggota dalam kelompok tersebut. Saat ini pelayanan instrumen sosiometri di laboratorium bimbingan konseling Universitas Islam Negeri Bukittinggi menggunakan teknik offline, yaitu dengan menggunakan aplikasi Ms.Excel yang dan dikombinasikan dengan Ms.Acces sehingga hanya dapat berfungsi dan beroperasi secara intranet di labor saja. Selain itu aplikasi yang ada saat ini telah lama berakhir masa berlakunya atau telah expired. Permasalahan selanjutnya yaitu aplikasi sosiometri tersebut belum dapat menampilkan laporan sosiometri secara grafik atau yang dikenal dengan sosiogram. Metode penelitian ini termasuk dalam metode penelitian dan pengembangan Research and Development (RD) dengan model pengembangan sistemnya adalah System Development Life Cycle versi waterfall dengan tahapannya: Communication, Planning, Modeling, Construction, Deployment. Dari uji produk yang dilakukan, diperoleh hasil: uji validitas diperoleh nilai 0,85 dengan kriteria valid, uji praktikalitas diperoleh nilai 0,83 dengan kriteria sangat praktis dan uji efektivitas diperoleh nilai 0,75 dengan kriteria sangat efektif. Berdasarkan hasil uji produk yang telah diuraikan, disimpulkan bahwa produk penelitian ini yaitu aplikasi mobile sosiometri layak untuk digunakan sebagai media pembelajaran di laboratorium Bimbingan Konseling, UIN Bukittinggi.Sociometry is an instrument for measuring social relations in a group of individuals based on research on each group member's social relations and social status. Currently, the service of sociometric instruments at the Guidance and Counseling laboratory of UIN Bukittinggi has used the Ms.Excel application combined with Ms.Acces. However, it can only function and operate via the intranet in the laboratory and has long expired or expired. In addition, the sociometric application has not been able to display sociometric reports graphically, known as sociograms. This study aims to produce a hybrid sociometric mobile application in the Counseling Guidance laboratory as a valid, practical, effective learning support media. This research method is included in the Research and Development (RD) research and development method. The system development model is the Waterfall version of the System Development Life Cycle with the stages: Communication, Planning, Modeling, Construction, and Deployment. From the product test carried out, the results obtained: the validity test obtained a value of 0.85 with valid criteria, the practicality test obtained a value of 0.83 with convenient criteria, and the effectiveness test obtained a value of 0.75 with very effective criteria. It is concluded that the sociometric mobile application can be used as a learning medium in the Counseling Guidance laboratory.
UAV Control in Autonomous Object-Goal Navigation: A Systematic Literature Review

Abstract Autonomous control for unmanned aerial vehicles (UAVs) has rapidly raised research interest in the last decade. Widely used in civilian, military, and private areas, UAVs have been implemented in surveillance, search and rescue, and delivery tasks, solving problems where a significant space must be covered and traveled. However, using UAVs for navigation problems with full autonomy in control, planning, localization, and mapping tasks remains an open challenge. This paper presents a systematic literature review on object-goal navigation using autonomous UAVs. Object-goal navigation inherits the same navigation challenges, such as control and navigation, in addition to estimating the target's location. The object-search problem requires to understand what object must be found and where it can be located.In this regard, survey taxonomies were found for the tasks and methods behind navigation and target localization problems using UAVs. This review reveals essential issues related to autonomous navigation task dependencies and gaps in UAV development and framework standardization. Open challenges for autonomous UAV control under object-goal navigation must address the research on finding methods for problems, such as autonomy level and comparison metrics, considering safety, ethics, and legal implications.