Reviewerly/exHarmony huggingface dataset:
Validity and Reliability of Pre-Service Teacher Competency Level in Teaching Early Mathematics Instrument Using the Rasch Model

The Pre-Service Competency Teacher Level in Teaching Early Mathematics Instrument has been developed to measure the competency level and readiness to teach early mathematics in Preschool. This study was conducted to produce empirical evidence on the validity and reliability of this instrument by using the Rasch model. Surveys were conducted in three private universities that offer Early Childhood Education Programmes. A total of 85 pre-service teachers were selected as a sample of the study through simple random sampling. The validity and reliability of the instrument were measured using Rasch's model through Winstep software version 3.68.2. The findings of the unidimensionality test showed 46.1%. The Rasch analysis shows the person reliability index is 0.8 with a separation index is 2.05. The item reliability index is 0.91 and the separation index is 3.18. The item fitness analysis found 29 items in the instruments are in the valid range and one item that falls out of the allowed range. The finding showed that this instrument has a high degree of validity and reliability and can be used to measure the competency level of pre-service teaching in teaching early mathematics.
Kemampuan literasi dalam pembelajaran membaca teks pada siswa kelas IV SD melalui e-modul

A successful learning process requires appropriate teaching materials. Without learning media, teachers will certainly experience difficulties in improving the quality of their learning. Thus, learning media is very important to develop so that the quality of learning improves. This study aims to determine the effectiveness of using e-modules to improve literacy skills in reading texts in class IV students at SDN 2 Brantaksekarjati Welahan Jepara in the 2022/2023 academic year with a total of 15 students. This type of research is descriptive qualitative. The results of this study are the effectiveness of the use of e-modules based on the average percentage of observations of 92.25%, and student responses to the use of e-modules of 89.33% with very effective criteria. Furthermore, 92% of students obtained mastery of the learning outcomes test.Keywords: Learning Media, E-Module, Reading Reading Texts
PENGEMBANGAN GAME ANDROID TEBAK GAMBAR BENDERA NEGARA SEBAGAI MEDIA PEMBELAJARAN SUBTEMA GLOBALISASI DAN MANFAATNYA

Learning from home activities during covid pandemic are mostly carried out online by using smartphone devices and generally, the embedded operating system is Android. The existence of these smartphones makes students tend to spend more time watching videos or playing games. Educators must try to restore the enthusiasm of students in learning. One of the efforts that can be done by educators is through gamification or integrating learning materials into a game. Therefore, this study aims to develop a game based on the Android operating system about the flags of countries in the world as an additional medium for educators in teaching material on the sub-theme of globalization and its benefits for elementary school students in grade VI (six). This research is development research with the development model used is ADDIE which consists of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. Data analysis was carried out qualitatively. The results of the development show that the Android game guessing the images of the flags of countries in the world is suitable for use as a medium of learning in elementary schools on the sub-theme of globalization and its benefits as the validation results from media experts with a percentage of 81%, validation results from material experts with a percentage of 83%, as well as the response of students in small groups using the Android game (game) guess the pictures of the flags of the countries in the world with a percentage of 78%.
Multiple data centers intended for latency minimization using artificial intelligence algorithms

Lightweight deep learning data and algorithms center technology have recently advanced to the point where multiple inferences of models tasks can be executed simultaneously on limited data center resources. This allows us to work together towards a common goal instead of focusing on achieving high quality in each individual task. On the other hand, real-time applications are never good with multi-model inferences because of the high total operating latency. For multi-model deployment, algorithms should be fine-tuned to reduce latency as much as possible without jeopardizing safety-critical scenarios. In this study, we employ an open neural networks exchange (ONNX) execution engine to investigate model inference and develop a real-time job scheduling technique for deploying multiple models. Afterwards, a container-based application deployment approach is suggested, and inference jobs are allocated to various containers according to the scheduling techniques. The suggested technique may drastically cut down on total running delay in real-time applications, according to the experimental findings.
A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities

This paper presents a novel 3D-GIS and deep learning integrated approach for high-accuracy rooftop solar energy potential characterization. Rooftop solar potential distribution is evaluated based on 3D-GIS-based irradiance modeling to consider adjacent building shading effects, and also based on available area identified by a deep learning technique. The case study results showed that the individual building solar potential reductions varied from 13.4% to 74.5%. Further analysis showed that the simple addition of shading-induced solar potential reductions and availability-induced solar potential reductions tends to overestimate the actual reduction by up to 16%. This study reveals the mechanisms why such effects should be jointly considered.
Determination of corrective optimals for Chinese university learners of English

In the expectation of investigating the nature of corrective optimals of the sounds of English for Chinese EFL learners, a small selection of problematic English vowel sounds (i.e. /ɪ/, /i:/, /e/, /æ/, /ʊ/ and /u:/) was explored. The present study investigated the corrective optimals for these sounds. To this end, an experiment was conducted. Thirty-seven first-year non-English major university EFL learners participated. Each student went through two diagnostic steps. First, each student’s preferred center frequency (fcenter) was determined for a particular vowel sound, beginning with exposure to the fcenter of the traditional native-speaker optimal. Second, a combination of frequency bands that together form corrective optimals for each of the six vowels was determined for each individual student. Rather than consisting of single continuous 1-octave bands, corrective optimals for Chinese university EFL learners were found to be discontinuous multiple frequency bands that are both narrower and finer. The corrective optimals for Chinese university EFL learners were identified as discontinuous multiple band structures containing a bandpass filter narrower than one octave and, in addition, a significant low frequency component. In the light of this finding, it seems valuable to reorient the concept of corrective optimal away from a single octave frequency band and toward discontinuous multiband structures containing a significant low frequency component. Further research over a great number of vowels and consonants for various languages is desirable to confirm and extend this finding.
Peningkatan Minat dan Kemampuan Membaca untuk Menambah Pengetahuan dan Hasil Belajar Peserta Didik Kelas XI Menggunakan Metode Quantum Reading di SMK Negeri 1 Sogae’adu

This study aims to increase the reading interest of grade XI students using the quantum reading method at SMK Negeri 1 Sogae'adu. This type of research is action research. This research uses qualitative data analysis techniques to describe and explain the data produced in the form of information. The subjects of this study were students from class XI in students from class XI at SMK Negeri 1 Sogae'adu, but researchers only made observations in one class, namely in the TKR (Light Vehicle Engineering) department class which amounted to 32 people. The results of the study in the first cycle were 68.30 with a percentage of classical learning completeness of 68.75%. This is because 10 people out of 32 students have not reached learning completion. In cycle II the average score increased to 75.94 with the percentage of classical learning completeness reaching 85.89%. The use of the Quantum Reading Method to improve reading skills in students is effective in improving learning outcomes and student activity in reading
Modeling and Statistical Analysis of Data Breach Problems in Python

The subject of the work is electronic medical record linkage threat analysis and modeling with the use of the submitted data breaches list published by the U.S. Department of Health and Human Services. Multipronged data analysis with the use of statistics utilities and data visualization has been conducted. The model forecasting the number of data breaches based on a time series mathematical model has also been built. The article reviews the tools and techniques used in data security analysis and presents practical examples of modeling and analysis that can be used in practice to improve data protection. It was shown how important it is to protect personal data, especially medical data, and what tools can be used in the educational process of data analytics for students to effect data analysis, trend assessment, and data prediction.
Comparison of Angular, React, and Vue Technologies in the Process of Creating Web Applications on the User Interface Side

This paper presents a comparative analysis of three programming technologies and their application in building a web application, taking into account the code on the server-side and the user interface side. Three equivalent applications Angular, Vue, and React were analyzed. The needs for web applications are described, the implementation of particular functionalities in all technologies is presented together with the programming of database functionalities. The article is aimed at helping students of computer science faculties to make an informed choice of a framework or library for a specific project, taking into account the differences between these popular solutions.
Perplexity-Driven Case Encoding Needs Augmentation for CAPITALIZATION Robustness

Rohit Jain, Huda Khayrallah, Roman Grundkiewicz, Marcin Junczys-Dowmunt. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers). 2023.
Implementation of Facial Landmarks Detection Method for Face Follower Mobile Robot

This paper presents a new technique for facesrecognition based on auto-extracted facial marks. Our landmarks are those related to the outer corner of the nose. With extracted landmarks, a triplet of areas and their associated geometric invariance are formed. Where later the points on the outer corners of the eyes and nose will be connected with lines that will form a triangle. Later the line length will be calculated using the Euclidean Distance formula so that the area value of the triangle can be obtained. Then the data obtained will be trained using the Support Vector Machine algorithm so that they can recognize faces. And later the system will be implanted into a mobile robot with raspberry.
The Relationship Between the Level of Student Participation in Organizations and Academic Achievement

This research has high urgency because it explores the relationship between student participation in student organizations and academic achievement, especially in Sociology students at Teuku Umar University. Academic success and the role of organizations in achieving it are very important to improve the quality of education. The belief that active participation in organizations can shape time management and influence positive learning outcomes is the main basis for this study. Evaluation of previous studies revealed shortcomings in methods, research focus, and quality of results which this study addresses through quantitative methods and a focus on sociology students. This approach makes a significant contribution to understanding the relationship between student participation in organizations and academic achievement. Using questionnaires, observations, and interviews, this study explains the extent of the relationship between the variables of participation and academic achievement through simple linear regression. The results of the study provide a deeper understanding of the influence of student participation in student organizations on student academic achievement. Implications may form the basis of campus policies and practices to enhance students' experiences and support their success in various aspects of campus life. This research makes a significant contribution in filling the existing knowledge gap and stimulating further research
Implementation and Analysis on Efficient Proxy-based Multicast Secure Data Sharing Mechanism with CP-ABE Supporting Outsourcing Decryption in IoT Environment

According to the International Data Corporation (IDC), by the year 2025, over 40 billion Internet of Things (IoT) devices will be connected to the internet. However, these devices face challenges such as insufficient power supply, weak computing capabilities, and limited communication range. The security of IoT system under these circumstances will become significant issues. MQTT is one of the most popular communication protocols on the Internet of Things, in which the publishing and subscription mechanism are suitable for transmitting messages in the environment with limited communication bandwidth and unstable connections. Even though MQTT protocol can secure data transmission via SSL or TLS, it has no native or built-in security mechanisms, and also does not provide enhanced access control for subscribers. In this paper, we integrate MQTT protocol with DAC-MACS, a CP-ABE algorithm proposed by Yang et al., constructing an implementation framework on the efficient proxy-based multicast secure data sharing mechanism with CP-ABE supporting outsourcing decryption. In our construction, we introduce a proxy server during the process of communication between broker and subscribers. By utilizing the computational capabilities of the proxy server, IoT devices can decrease the computational cost of the decryption algorithm by outsourcing the computation-intensive tasks to the proxy server. In addition, we combine the fine-grained access control features of CP-ABE with the publishing/subscription mechanism, along with the proxy server, to achieve multicast communication.
Implementation of IDS Using Snort with Barnyard2 Visualization for Network Monitoring in The Informatics Engineering Computer Lab at Muhammadiyah University Surakarta

The recent surge in cyberattacks should not be taken lightly, especially by large enterprises with sensitive data. Intrusion Detection Systems (IDS) are becoming a critical component for detecting network anomalies. One such network anomaly detection tool is SNORT, with a BASE (Basic Analysis and Security Engine) frontend for efficient data processing. Acting as a bridge between SNORT and BASE, the author uses barnyard2 as a backend to store logs obtained from SNORT into the database. The implementation methodology used in this research is an experimental approach, where the authors conduct experiments through trial and error to achieve the desired results. This IDS system was tested using two types of attacks, namely DDoS and SQL-Injection. The DDoS attack trial uses tools found in Kali Linux, namely Hping3 with 6 scenarios namely FIN, ACK, RST, UDP, SYN, and ICMP with the results detected in the snort database. SQL-Injection attack test using the DVWA vulnerable website with the result detected in the snort database when the attack is carried out. This proves that the accuracy level of the system reaches close to 100% with the rules given and the penetration testing given.
Peningkatan Tingkat Pengetahuan Kesiapsiagaan Bencana Siswa Setelah Diberi Edukasi Menggunakan Media Audio Visual Animasi di SMA 12 Semarang

Landslide is a disaster that occurs every year in Indonesia. Landslide disasters can result in complex losses, both loss of facilities and casualties. Landslides have the greatest impact on the most vulnerable groups, especially the children age group. This is because children directly experience, feel, and witness the impact caused by the age factor that is still immature psychologically. Efforts that can be made to reduce the impact of the disaster, one of which is to control the risk of landslides by increasing preparedness. This study provides education to students using audio- visual animation media which contains material on preparedness in the face of landslides. To determine the level of disaster preparedness knowledge of SMA 12 Semarang students before and after being given education using animated audio- visual It can be concluded that there is an increase in knowledge of disaster preparedness for students of SMA 12 Semarang before and after being given education using anıması audio- visual media. It is hoped that disaster preparedness education using animated media at SMA 12 Semarang can be applied continuously to students as an effort to anticipate disaster preparedness.
The Correlation of Length of Using IUD and Hemoglobin Levels in IUD Acceptors

IUD is a device inserted into the uterus that is very effective and long term. Behind the success of IUD, there is a side effect that often occurs, called menorrhagia. Prolonged menorrhagia will cause a decrease in hemoglobin levels which can lead to anemia. The purpose of this study was to determine the correlation between the length of using intrauterine devices and hemoglobin levels in IUD acceptors at Keniten Village, Mojo District, Kediri Regency. This type of research was a quantitative research by using observational design with Cross-Sectional approach. The population in this study were 53 IUD acceptors by using Probability Sampling called Simple Random Sampling, which obtained 35 respondents. This research used questionnaires as the instrument to obtain general data, birth control participant card, and hemoglobin measurement tool with Easy Touch brand. There was a significant correlation between the length of using IUD and hemoglobin levels in IUD acceptors. So it can be concluded that the use of IUD for more than 5 years can potentially lead to a greater reduction of hemoglobin levels in IUD acceptors. This can be used as a source of reference for prospective IUD acceptors about side effects, prevention, and treatment if they experience side effects from IUDs.
Self-Efficacy Correlated with Diarrhea Prevention Behaviors

Diarrhea is a gastrointestinal disease with extraordinary events (KLB) that requires special attention because the high morbidity and death rates are still a health problem for people worldwide, especially in developing countries like Indonesia. It happens because of the low correlation of self-efficacy in implementing diarrhea prevention behaviors. This research aimed to determine the correlation between self-efficacy and diarrhea prevention behavior in the work area of Kalianget Health Center. The type of the research was quantitative with an analytical observational design with a cross-sectional approach. The population was 217 respondents suffering from Diarrhea and the sample was 67 respondents taken by simple random sampling. The data collection used questionnaires. Test analysis using Spearmen rank test. This research showed that as many as 47 respondents (70.1%) had a moderate level of Self-efficacy, while most respondents had behavior Diarrhea prevention in the sufficient category 48 respondents (71.6%). Analysis of the data obtained there was a correlation between self-efficacy and preventive behavior Diarrhea in the working area of Kalianget Health Center. Prevention of Diarrhea in people with Diarrhea can be done by increasing self-efficacy so that diarrhea prevention behavior can be carried out properly and correctly to reduce the incidence of Diarrhea in the community
COMPARATIVE ANALYSIS OF CRYPTOCURRENCIES VERSUS FIAT MONEY

This article aims to provide a comparative analysis of cryptocurrencies and fiat money, in the context in which the former might be considered an alternative to the latter. Mainly, we perform a literature review and qualitative analysis of 64 articles from Web of Science Core Collection, published between 2017 and 2023, using as keywords “cryptocurrencies” and “fiat money”. The information processing methodology involved presenting the data and information concisely, in order to gain a point of view on how crypto assets can be perceived in comparison with other financial assets. The results present the authors’ conclusions regarding the economic differences and similarities between cryptocurrencies and traditional money. It also includes the limitations of the research and offers future directions for study.
INCREASING STUDENTS’ READING SKILL BY USING WATTPAD APPLICATION IN EIGHTH-GRADE STUDENTS OF SMPN 3 WATAMPONE

This research aims to know the impacts of using Wattpad Application in order to increase students’ reading skill in Eighth-grade at SMPN 3 Watampone. And this research focused on pre-experimental method with one group in pre-test and post-test. The treatment was conducted after the pre-test and before post-test. The population in this research were students of Eight-Grade at SMPN 3 Watampone in 2022/2023 academic year. The writer took 176 students as the population with random sampling technique was used to take one class as the research sample, totaling 23 students. Data obtained from reading test in form of multiple-chooses. The results of this study revealed that there is increasing students reading skill using Wattpad Application based on students’ scores between the pre-test and post-test. The mean score of the students’ reading skill increase from 54,34 in the pre-test to 78,47 in the post-test. Meanwhile the analysis of students’ increasing score from both test (pre-test, post-test) was 30%. So, based on that analysis, it can be concluded that the using Wattpad Application can greatly increase students’ reading skill.
Vision and Language Navigation in the Real World via Online Visual Language Mapping

Navigating in unseen environments is crucial for mobile robots. Enhancing them with the ability to follow instructions in natural language will further improve navigation efficiency in unseen cases. However, state-of-the-art (SOTA) vision-and-language navigation (VLN) methods are mainly evaluated in simulation, neglecting the complex and noisy real world. Directly transferring SOTA navigation policies trained in simulation to the real world is challenging due to the visual domain gap and the absence of prior knowledge about unseen environments. In this work, we propose a novel navigation framework to address the VLN task in the real world. Utilizing the powerful foundation models, the proposed framework includes four key components: (1) an LLMs-based instruction parser that converts the language instruction into a sequence of pre-defined macro-action descriptions, (2) an online visual-language mapper that builds a real-time visual-language map to maintain a spatial and semantic understanding of the unseen environment, (3) a language indexing-based localizer that grounds each macro-action description into a waypoint location on the map, and (4) a DD-PPO-based local controller that predicts the action. We evaluate the proposed pipeline on an Interbotix LoCoBot WX250 in an unseen lab environment. Without any fine-tuning, our pipeline significantly outperforms the SOTA VLN baseline in the real world.