Reviewerly/exHarmony huggingface dataset:
Enhancing Digital Forensic Investigation: A Focus on Compact Electronic Devices and Social Media Metadata

The rise of portable electronic devices and social media has led to new criminal activities, necessitating advancements in digital forensics. This paper introduces Small-Scale Digital Device Forensics (SSDDF), focusing on the forensic examination of miniature digital devices often used in crimes. SSDDF addresses the challenges posed by these devices, particularly in extracting and analyzing data from them. A key aspect of this research is exploring ontology in social media forensics, particularly within the Android operating system. This involves extracting digital evidence like user accounts, messages, and images from social media platforms. While the paper primarily focuses on social media data, it acknowledges the importance of the devices used in crimes. The integration of SSDDF and the analysis of Android system structures are highlighted as key advancements in digital forensic methodologies. These enhancements are expected to improve the process of collecting and analyzing digital evidence from both compact electronic devices and social media platforms. The study offers significant contributions to the field of digital forensics. It provides new strategies for more efficient and effective forensic investigations, especially in the context of extracting and analyzing digital evidence from small electronic devices and social media, thus paving the way for more robust digital evidence handling in future forensic inquiries.
Stream Clustering for Selection Recommendations Using K-Means Algorithm: A Case Study in the Informatics Study Program

Concentration Stream for a major is a process where students focus their attention on a specific discipline according to their interests. The purpose of specialization is to better orient students to the knowledge they have gained from previous courses, so that they can have a clearer focus. In the Informatics Engineering study program at Bina Darma University there are 3 concentrations, namely: Software Engineering, Network Engineering, Data Analytics. The absence of a system that helps students choose a major concentration makes it quite difficult for students to know their academic abilities. By looking at these problems, this research aims to build a Recommendation system for selecting Mk-Stream Concentrations using the K-Means grouping approach using the K-Means cluster method. Where student academic achievement data from the first semester to the 4th semester is used as a variable in the calculations.
Information Security Evaluation Using Case Study Information Security Index on Licensing Portal Applications

There's a lot of cyber attacks going on right now, so the Ministry of Public Works and People's Housing (PUPR) has to get serious about preventing them. One of the information system that contains critical public data need to be secured is Portal Perizinan. In order to maintain information security, an evaluation should be carried out to assess the level of readiness (comprehensiveness and consistency) of the implementation of information security based on the SNI ISO/IEC 27001:2013 criteria using the Information Security Index. (KAMI Index). The five areas assessed aim to determine the level of organization preparedness in the implementation of information security. Obtained a score of 31 for the level of organization dependence on electronic systems, with a high level of category. The presence of technology security is at level I through to level II and our index measures 351, which means that the level of maturity of the new ISMS is at the stage of Achievement of the Basic Framework. From the results of this case study it can be seen that the state of information security readiness in the Ministry of PUPR still needs to be improved to meet ISO 27001 standard.
ANALISIS KESEIMBANGAN AIR DAERAH IRIGASI DOLOK BENDUNG BARANG KAB. DEMAK

Indonesia as an agricultural country is very interested in the availability of water to support the agricultural sector. One of the efforts to maximize agricultural production results is the utilization of water resources through proper and efficient management of water allocation. D.I Dolok has a large enough land area and of course requires quite a lot of water, so it is necessary to analyze the needs and availability regarding the control of irrigation water for optimal agricultural land. The purpose of this study is to determine the availability of water and the need for irrigation water in D.I Dolok. In this study using Dr. method. FJ. Mock, after we have calculated the data we got from the results of the field survey, the results obtained for the total discharge that can enter the Barang Weir is 51.058 m3/s, and for the amount of water availability in Barang Weir it increases in the rainy season and decreases in the dry season with the largest discharge occurred in January, namely 4,800 m3/sec and the smallest discharge occurred in August, namely 0,160 m3/sec. As for the irrigation water needs of the Barangay Dam, it was obtained 32,967 m³/s with an area of 1296 Ha. Then for the calculation of the water balance by comparing the value of the mainstay discharge with the need for irrigation water with the selected cropping pattern, it can be concluded that the need for irrigation water can be fulfilled from the available mainstay discharge.
Unlocking the Power of Psycholinguistic Theory: How the Think-Pair-Share Technique Enhances

Communication is the cornerstone of human interaction, and the ability to effectively express oneself is a skill that can greatly impact personal and professional success. In the realm of education, strong communication skills are particularly crucial, as they empower students to articulate their thoughts, opinions, and ideas with confidence. One technique that has gained significant attention in recent years for enhancing speaking skills is the Think-Pair-Share strategy. This powerful technique not only encourages active engagement and collaboration but also aligns with psycholinguistic theory, which suggests that individuals learn more effectively when they are actively involved in the learning process. In this article, we will explore how the Think-Pair-Share technique can unlock the power of communication among 10th graders, and how it can be implemented in the classroom to foster a supportive and participatory learning environment. So, let's delve into the world of psycholinguistics and discover how this technique can revolutionize the way students develop their speaking skills. Keywords: Think-Pair-Share (TPS), speaking skill, action research, students, psycholinguistics
Overcoming Educational Losses and Gaps: Opportunities for Developing Students’ Subject-Specific Competencies And Socio-Emotional Skills on the “Povir” Digital Platform

In view of finding ways to overcome educational losses and gaps, this paper ascertains the need to transform educational initiatives for students based on the learning process individualization and student agency, the unity of academic and socio-emotional learning, and active involvement of teachers' professional community – the community of life-long learners. Another benchmark for positive changes in this area should be introducing systematic feedback from all stakeholders and measuring students' personal educational progress. Further important elements are combining free service for students and decent remuneration for teachers and ensuring the state support for public educational initiatives with possible validation and ultimate recognition of the educational activity results at the state level. It has been established that measuring educational losses and gaps and finding mechanisms to overcome them requires finding new strategies and forms of interaction with students that consider the modern realities of digital education and distance learning tools capable of providing a comprehensive support for children, teachers, and parents. These claims are supported by the analysis of EdCamp Ukraine's anti-crisis initiatives that revealed the so-called "double negative effect". This effect signified that a considerable share of registered children either did not attend classes or dropped out at various stages because partaking in learning experiences was not their conscious and independent decision they felt responsible for. Considering the lessons drawn from anti-crisis activities and at the cross point of three scientific concepts – self-determination theory, Bloom's two sigma problem, and social learning theory – the authors justified using a modern concept of educational interaction with students within the framework of a state-public project aimed at overcoming educational losses and gaps on a digital platform POVIR, which is being prepared for a pilot launch.
Non-Linear Trend Analysis to Forecast The Number of New Two-Wheeled and Four-Wheeled Vehicles in Manokwari Regency

Forecasting is a systematic effort that employs scientific methods (knowledge and technology) to predict future events. Trends depict patterns of time series data over long or significant time intervals, indicating a tendency to either rise or fall. Trend lines are not always linear; they can have a curved (non-linear) shape. Non-linear trends refer to trend models that involve quadratic, cubic, and so on equations. Based on the non-linear trend-shaped data plot and research objectives, non-linear trend analysis is used to forecast the number of motor vehicles in Manokwari Regency. The best model for forecasting the number of new two-wheeled vehicles is the cubic trend model, which is: with a MAPE of 7.8%, categorized as excellent. The best model for forecasting the number of new four-wheeled vehicles is also the cubic trend model, which is: with a MAPE of 5.7%, categorized as excellent.
Exploring Reading Comprehension and Speed: A Study of SMAN 1 Mojo Students

The problem being analyzed during this research is dissimilarity in the effective reading ability between one student and others and the factors that affect the effective reading speed. The method used was a case study method combined with a quantitative methodology. Twenty-seven students were involved as the research subjects. The data were obtained from observation text entitled "D'topeng Museum Angkut" read by the students. The process of calculating reading time was calculated independently by the students using a stopwatch. The results showed that (1) the average reading speed of the students was in the moderate or sufficient speed category; (2) the reading speed per student was in the adequate category (250 – 350 wpm). Even three students were in the effective category (above 350 wpm); and (3) concentration was one of the factors that influenced the effective reading speed. It can be concluded that in the analysis of the effective reading speed in class XI IPS 1 at SMAN 1 MOJO, the students had a moderate or adequate reading speed.
Pareto Efficiency of Learning-Forgetting Trade-Off in Neural Language Model Adaptation

To achieve effective on-device textual prediction, language modeling must account for changing user style, emerging idiosyncratic expressions, and other evolving linguistic events. But typical domain adaptation techniques are not designed to preserve domain-independent behavior, leading to a data-dependent trade-off between learning and forgetting. This paper studies the Pareto efficiency of this compromise within an adversarial adaptation framework under plausible real-world conditions. The idea is that adversarial constraints placed on the (sparse) on-device distribution prevent the adapted distribution from straying too far from the (dense) initial distribution resulting from pre-training. Cross-domain experiments confirm that such distribution-level constraints help retain generic linguistic knowledge acquired during pre-training. Prediction candidates therefore suffer less from unpredictable forgetting, while being better aligned with every user’s fine-grained personal interests.
ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications

The industrial Internet of Things (IIoT) uses intelligent sensors and actuators, etc., to facilitate the application of IoT in different industries. This paper presents a comparative analysis using several machine learning (ML)-assisted deep learning techniques to develop efficient cybersecurity anomaly detection within IoT applications. To accomplish that, several deep learning techniques are investigated and analyzed, including Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), their hybrid (CNN+GRU), and Long Short-Term Memory (LSTM). The performance of the developed deep learning models is evaluated in terms of accuracy, precision, recall, F1-score, and False Alarm Rate (FAR). Our experimental results show that the developed hybrid CNN+GRU model outperforms the others, achieving an accuracy of 94.94%, a recall of 92.29%, a precision of 98.49%, an F1-score of 95.24%, and a low false alarm rate of 0.001. However, it is essential to note that the hybrid model requires a longer convergence time, indicating a trade-off between performance and computational efficiency. Notably, individual CNN and GRU models also showcase strong performance as time-efficient alternatives. In conclusion, our adopted comprehensive dataset and rigorous evaluation prove that we have developed practical deep-learning approaches to obtain an accurate measure for an efficient IIoT anomaly detection framework.
Optimal sets of questions for Twenty Questions

In the distributional Twenty Questions game, Bob chooses a number $x$ from $1$ to $n$ according to a distribution $\mu$, and Alice (who knows $\mu$) attempts to identify $x$ using Yes/No questions, which Bob answers truthfully. Her goal is to minimize the expected number of questions. The optimal strategy for the Twenty Questions game corresponds to a Huffman code for $\mu$, yet this strategy could potentially uses all $2^n$ possible questions. Dagan et al. constructed a set of $1.25^{n+o(n)}$ questions which suffice to construct an optimal strategy for all $\mu$, and showed that this number is optimal (up to sub-exponential factors) for infinitely many $n$. We determine the optimal size of such a set of questions for all $n$ (up to sub-exponential factors), answering an open question of Dagan et al. In addition, we generalize the results of Dagan et al. to the $d$-ary setting, obtaining similar results with $1.25$ replaced by $1 + (d-1)/d^{d/(d-1)}$.
MENINGKATKAN HASIL BELAJAR SISWA TENTANG NILAI TEMPAT MELALUI METODE DEMONSTRASI

This classroom action research aims to determine the increase in interest and Mathematics learning outcomes for students about the value of a primary school class IIA Brondong 4 First Half Year 2014/2015 through the use of demonstration. The subject of this action research is class IIA SD Negeri Brondong totaling 38 students consisting of 19 male students and 19 female students. Research procedure used is procedure classroom action research conducted in two cycles, coupled with the implementation of the activities prasiklus before the cycle begins. Pre-cycle of the data it can be concluded that there are 38 students 28 students or 83.69% are not yet complete, and only 10 students or 26.31% declared complete in learning. From that data needs to be improved so that learning by using demonstration method. Data from the first cycle can be concluded that there are 16 students or 42.11% are not yet complete, and 22 students or 57.89% declared complete in learning, while the average value of students in this cycle has reached 66.32. Of course this is not in accordance with what is expected so the need to proceed with the second cycle. In the second cycle can be concluded that there are 35 students 92.11% and only 4 students or 10.53% are not yet complete, the average has been experiencing a significant increase in line with expectations and that is equal to 89.47.
An Analysis of EFL Students' Communication Strategies in Classroom Context

This study aims to find out the types of communication strategies used by EFL students when learning English in the 12th grade English Cross Interest class at SMAN 5 Bantaeng. This study used descriptive qualitative method, data were collected through observation and interviews conducted with 4 students. Data came from three sources: namely audio recordings of naturally occurring classroom interactions; interviews with students and observation notes taken in the classroom. Data from the interaction transcripts were examined using Dorney &amp; Scott's (1997) taxonomy of communication strategies.The results of this study show that there are five types of communication strategies that most often appear when students communicate with their interlocutors as well as towards their teachers during learning activities, namely; Message Abandonment, Non-Linguistic Means, Filler, Appeal For Help and Asking For Clarification. The students used L1 because the students found it difficult to understand L2. This is due to the fact that students lack knowledge of English. Students experience these types of communication strategies due to thinking time, anxiety, lack of focus, nervousness, doubt, lack of knowledge, lack of vocabulary, grammatical errors and self-confidence.
PERANAN SISTEM INFORMASI MANAJEMEN DALAM MENINGKATKAN KUALITAS PENDIDIKAN

In an organization there is no escape from institutional data archiving problems. Where a system is needed that appears in this advanced era where information systems are very influential on leaders in an education in planning something in solving problems that arise in an education so that the goals of the education will be achieved as planned. Management information systems are also very useful for an education because it can ease the leadership's task of completing accurate and fast data and then processing it into information that can help leaders plan education.
Development of Blended Learning Based on Periodontal Instrumentation Curriculum

Objectives: Blended learning in a untact lecture is recognized as one of the teaching and learning methods that can provide a meaningful learning experience. Therefore, we have developed the instructional model for periodontal instrumentation education based on the blended learning. Methods: It was developed based on the education structure of the pre-class, in-class, and post-class of the PARTNER instructional learning model. Results: The draft of the developed model was validated by 2 experts. The blended learning model consisted of seven steps(‘learning online lecture contents’, ‘assessment of pre-class learning and learning level analysis’, ‘instrument operation and guidance’, ‘team based and individual practice’, ‘lesson summary’, ‘assessment of online instructional’, ‘online instructional reflection’) was developed. Conclusions: Strategic implications for the effective operation of the post COVID-19 era for periodontal instrumentation curriculum based were suggested.
Deep Learning-Based Seismic Facies Classification Through Integration of Mobilenetv2 and U-Net Architectures

The integration of Artificial Intelligence and Geophysics fields has played a significant role in increasing the understanding of the earth's properties, as well as reducing the pressure on geoscientists by saving time, effort, and cost devoted to studying and exploring geographical areas. In the oil and gas industry, seismic data plays a vital role as it enables geoscientists to identify the position and dimensions of subterranean oil and gas deposits. Through the interpretation of these sound waves, geoscientists can generate comprehensive images of the underground geology, encompassing details such as the depth, configuration, and properties of the rock strata. It is crucial to choose the best label for a seismic facies image as it can indicate significant information about the subsurface structure and facilitate the discovery of prospective hydrocarbon reservoirs. It has been essential to utilize and activate Artificial Intelligence technologies in the field of Geophysics since those procedures and methods solve countless problems, one of which is seismic facies classification. By utilizing Computer Vision and Deep Learning techniques to produce the labels, the geoscientists can recognize the appropriate areas for drilling and exporting the oil and gas as well as establishing the optimal mining technique for this task. In this work, we implemented a seismic facies classification system based on U-Net and MobileNetV2 models to classify the best label for each image. Artificial Intelligence techniques used to develop the system by operating a public dataset of seismic facies images recommended by Saudi Aramco geoscientists, as this dataset simulates the images Saudi Aramco works with. The provided model will be then utilized by Saudi Aramco to benchmark the obtained results of the current research with their own dataset. The employed dataset in this project is of size 450 seismic images with two different width (701x255) and (401x255) to train and test the combined model. The final accuracy score reached 97.96% for generating and predicting the seismic images labels consisting different shapes and colors for each label.
DELIVERING ENGLISH CLASS THROUGH YOUTUBE TO THE FIRST SEMESTER STUDENTS OF ISLAMIC EDUCATION MANAGEMENT STUDY PROGRAM AT DATOKARAMA STATE ISLAMIC UNIVERSITY PALU

Social media platform has become one of the main attributes for teaching and learning. One of those digital platforms widely used is YouTube. YouTube functions not only as a social media for interacting with the world, but also as a teaching media for delivering material. This research is conducted to gain more information related to the use of YouTube in teaching and learning. The research question was, “How was the use of YouTube in delivering English class to the first semester students of Islamic Education Management Study Program at Datokarama State Islamic University Palu?” This is a case study in qualitative research. The instruments applied in this research were observation which was conducted as many as six meetings and an interview with eight questions to thirteen first semester students of Islamic Education Management Study Program at Datokarama State Islamic University Palu. The result of this research showed the point of view from the lecturers and the students related to the research question. The lecturers viewed YouTube as one of solutions for solving the problem of delivering distance learning. Explaining material of English via YouTube can be seriously challenging. The lecturers should perform well in front of the camera while delivering the material. From the students’ point of view, YouTube helped them understand the explanation of English material easily. They did not have to download videos and save them in the phone memory. They only needed to click the link and watch the videos in YouTube.
PENINGKATAN HASIL BELAJAR SISWA KELAS IV TEMA 6 CITA-CITAKU MELALUI PENERAPAN MODEL DEMONSTRATION DI SD 01 GULANG

This Classroom Action Research is motivated by the low learning outcomes of students in Indonesian and PPKn lessons. This research is in the form of classroom action research, by adapting the model of Classroom Action Research by Kemmis, and Mc. Taggart. This Classroom Action Research was conducted through two cycles. The stages in this classroom action research are (1) action planning, (2) action implementation, (3) observation, and (4) reflection. The research subjects in this Classroom Action Research, namely grade IV SD 01 Gulang, Mejobo District, Kudus Regency, with a total of 32 students, consisting of 12 male students, and 20 female students, and a fourth grade teacher. The assessment instrument used in this Classroom Action Research is an assessment for work learning outcomes. The results of this Classroom Action Research are the researchers using the demonstration method through the Puzzle media which will be used in the learning process. So the use of the demonstration method through puzzle media on the theme 6 My Goals can improve student learning outcomes in grade IV SD 01 Gulang Mejobo Kudus