Reviewerly/exHarmony huggingface dataset:
Human Behavior Classification using 2D – Convolutional Neural Network, VGG16 and ResNet50

Objective: To develop a real-time application for human behavior classification using 2-Dimensional Convolution Neural Network, VGG16 and ResNet50.Methods: This study provides a novel system which considers sitting, standing and walking as normal human behaviors.It consists of three major steps: dataset collection, training, and testing.In this work real time images are used.In human behavior classification dataset there are 2271 trained images and 539 testing images.Findings: The Convolution Neural Network (CNN), VGG16 and ResNet50 are trained using human normal behavior images.Novelty: The dataset namely human behavior classification dataset is used in this work and the experimental results has shown that on human behavior classification ResNet50 has outperformed with accuracy of 99.72% compared to VGG16 and 2D-CNN.This work can detect the three normal behaviors of humans in an unconstrained laboratory environment.
A Discourse Analysis Of Students-Teacher Pattern Interaction In Elt Classroom

This study aims to find patterns of interaction between students and teachers in ELT classes. Participants involved in this study were 32 students and one English teacher. This research is a qualitative research with a descriptive design. This relates to the use of language in a social context, namely interaction or dialogue between students and teachers. The author uses 2 types of instruments, namely observation using the blue print protocol and also recording all English learning activities in the ninth grade of SMP N Toboali. Then after making observations and obtaining all the required data, the authors conducted an analysis using FIAS (Flanders Interaction System Analysis) which consisted of 3 parts, namely the teacher's indirect influence, the teacher's direct influence and students' speech responses. The teacher's indirect influence consists of 3 kinds of interactions such as receiving feelings, praising encouragement, accepting or using student ideas, and asking questions. Then, the teacher's direct influence consists of lecturing or explaining, giving directions, and criticizing or justifying authority. The last is the student's response which consists of the student's speech response, student initiation, and silence. According to the research results, there are four types of classroom interaction research: content traffic, teacher control, teacher support, and student participation. Based on the results of the data found, it shows that the dominant pattern used in this study is student participation, with a total of 54 or 45% of utterances. Hence, it can be concluded that the students of ninth grade students at SMPN 3 Toboali were active during the teaching and learning process in class.
A Chosen-Provably-Secure Attack-Resistant Light-Weight Digital Signature Based on Elliptical Curve for Resource Constrained Applications

Objectives: To build a bridge to provide a solution by developing a lightweight ECDSA method that is not only lower in computational aspect but also is more secure than the Zhong's ECDSA.Methods: The proposed research work performs cryptanalysis of Zhong's ECDSA and demonstrates that the method fails to withstand MITM attacks.The proposed ECDSA uses only 1 elliptic curve point multiplication ECPM operation, 1 Modular multiplication operation and zero Modular Inverse operations making it lightweight in terms of computational time.Zero inverse operations save computational time as the process involves scalar mathematics which is time-consuming.Findings: Zhong's ECDSA is not secure.Additionally, the technique takes 13.28% less time to sign data than the suggested ECDSA method.Through proofs, it is shown by comparison of the proposed ECDSA and Zhong's ECDSA and cryptanalysis that the proposed ECDSA is more applicable in real time.Although Zhong's Method for Signature verification at the Receiver end takes 8.2% more time, the recommended technique stands out in comparison to Zhong's ECDSA w.r.t security.Novelty: The work is a detailed expression of the provablysecure attack-resistant light-weight digital signature based on elliptical curve for resource constrained applications.Advancing, the novelty of the work lies in the comparison of the two techniques w.r.t their performance parameters like number of keys generated, time taken to generate keys, number of keys verified, time taken for key verification, time taken for Signature generation and time taken for Signature verification.
THE EFFECT OF THE ICEBREAKING-ASSISTED TEAMGAMESTOURNAMENT MODEL ON THE STUDENTS’ LEARNING OUTCOMES ON MATHEMATICS IN ELEMENTARY SCHOOL

This paper describes the effects of the TGT (Team Games Tournament) model assisted by Icebreaking on the student’s learning outcomes in mathematics in elementary school . The population of the research involves all of the student s in class IV . The sample was selected through a probability sampling technique , which consisted of 24 students for class IV-A as a control class and 24 students for class IV-B as an experimental class. The research used a quantitative method of quasi-experimental design with a pretest and posttest control group design and the instrument used was multiple choice questions to find out the student’s learning outcomes. Hypothesis data analysis was carried out by one-way ANOVA through a computer program of SPSS 21. Based on the results of a one-way variance analysis with a significant degree of 0.05, the value of sig was 0,000 in which 0,000 &lt; 0.05. It implies that the TGT model assisted by I ce breaking ha d a significant effect . The average score of students’ learning outcomes in the experiment al class was 81.3 with a difference between pretest and post-test scores at 51.9. Conversely, t he average score of student learning outcomes through the conventional method was 71.8 with a difference between pretest and posttest class control scores at 42.3 . Thus, it can be inferred that the application of the TGT (Team Games Tournament) model assisted by Icebreaking is better than the conventional method and there is a significant effect on student learning outcomes in mathematics in elementary school.
IMPLEMENTATION OF THINK-PAIR-SHARE MODEL TO INCREASE THE SIXTH-GRADE STUDENTS’ LEARNING ACTIVITIES AND OUTCOMES AT SD NEGERI 4 PANARUNG

The lack of students’ learning activities and outcomes in class VI-B at SDN 4 Panarung is based on the teacher-dominated learning and lecture method. To overcome the problem, the classroom action research through the Think-Pair-Share model was applied to the students. This paper reports the improvement of the student’s learning activities and outcomes on the theme of "Menjelajah Angkasa Luar” (Exploring Outer Space) and the subtheme of "Keteraturan Yang Menakjubkan” (Amazing Order) by applying a cooperative learning model, TPS. There are three classroom action research cycles applied to 16 sixth-grade students in which each cycle contains planning, action, observation, and reflection. The data analysis technique of the research used was descriptive, which compares the test value of each cycle with the success indicators. The research results indicate that (1) the average score of student activity in cycle I was 69, in cycle II it was 76.53, and in cycle III it was 90.53 and (2) the average score of student learning outcomes in cycle I was 65.63, in cycle II it was 74.67, and cycle III it was 82.14. It can be inferred that the implementation of the Think-Pair-Share model can improve student learning activities and outcomes in the theme of "Menjelajah Angkasa Luar” (Exploring Outer Space) and the subtheme of "Keteraturan Yang Menakjubkan” (Amazing Order).
DEVELOPMENT OF FOLKLORE-BASED TIERED BOOK MEDIA TO INCREASE THE FOURTH-GRADE ELEMENTARY STUDENTS’ READING INTEREST

This paper reports the results in the form of a tiered book media based on folklore as a learning medium to increase the fourth-grade elementary students' interest on reading. The type of research is research and development (R&amp;D). The developmental model used refers to the research model developed by Borg and Gall. The steps taken are problem and potential, data collection, product design, validation of design, revision of the design, product trials, product revisions, and mass production. The research subjects were fourth-grade students at SDN 74/X Bangun Karya East Tanjung Jabung Regency in Jambi. Folklore-based tiered book media products were assessed as valid by media experts with a percentage score of 77.1%. From the material expert, the percentage score was 90.9%. based on the Linguist’s validation, the percentage score was 84%. The percentage score of 4 students in the small group trial was 93.75% and the percentage score of 8 students in the large group trial was of 87.81%. Based on the analysis of differences between students' reading interests before applying the folklore-based tiered book media (Pre-test) and after applying the folklore-based tiered book media (Post-test) with an independent t-test, the value of Sig. (2-tailed) was 0.00 &lt; 0.05. Hence, Ha was accepted, and Ho was rejected. It can be inferred that students' reading interest after applying the folklore-based tiered book media was significantly higher with an average score of 53.6250. If it was compared to students' reading interest before applying the folklore-based tiered book media, which was only 26.7500.
Visual Mapping for Gender Identification from Facial Images using BAM and DON

Objective: To Develop an intelligent and innovative method to categorize the Gender by focusing facial images.Method: We integrate the characteristics of Bidirectional Associative Memory (BAM) and Deep Octonion Networks (DON) to enhance the Gender detection in real time applications.The developed hybrid model is called Visual Mapping of BAM and DON (VMBAD).To validate the projected system, we make use of 4000 images and 126 different subjects as a data set to train the proposed approach and simultaneously compare our results with the existing methods using the same data set.Findings: The projected technique improves the performance of the system by 3 -5 % in terms of sensitivity, accuracy, and precision when compared with the existing approaches (vide figures 4-7).Novelty: The designed method enhances both the accuracy and precision of image by nearly 4% and 2% respectively when compared with the reported work.
Pelaksanaan Pembelajaran Matematika Melalui Moda dalam Jaringan Menurut Perspektif Guru, Siswa dan Orang Tua

The purpose of this study was to find out how the implementation of mathematics learning through an online system during social/physical distancing situations from the perspective of teachers, students, and parents. This type of research is qualitative research using a literature study and interviews. The subjects in this study were teachers, students, and parents of grade VIII students at SMP Negeri 1 Jatibarang in the 2020/2021 school year. The result of this research is that the mathematics learning process is carried out online using Google Classroom media, Whatsapp, voice chat, and Google Form. However, the implementation process is not optimal. Many perspectives on the process of learning mathematics through an online system implemented in rural areas during the Covid-19 pandemic do not agree that the learning process is carried out online. Because, there are many obstacles faced such as unstable networks, additional expenses to buy quotas, tedious learning, not all students have smartphones, materials that are difficult to understand, and not achieving Basic Competence (KD).
Improving the Ability to Write A Novel Review Using the Reading Guide Method in Class XI MIPA 6 SMA Negeri 1 Nglames, Madiun District, the Academic Year 2022/2023

This research is motivated by students' ability to write novel reviews which is still at a low level. From the results of the observation, it is known that the students' results in writing novel reviews have scores below the predetermined passing standards. Then, from the results of the discussion involving various parties, the researcher decided to take a class action research with the title "Improving the Ability to Write Novel Reviews Using the Reading Guide Method in Class XI MIPA 6 SMA Negeri 1 Nglames, Madiun Regency, Academic Year 2022/2023". The method chosen in carrying out this research is a reading guide. This method is a method that involves students being active in compiling a review text. The reading guide method is a method by determining the reading material and then the teacher arranges questions that will be answered by students. The teacher gives several questions that function to obtain the desired results. This research involved 36 students in class XI MIPA 6 at SMA Negeri 1 Nglames. This research uses qualitative descriptive data processing. The discussion is explained and described based on research results and data that has been obtained. Using this method is expected to be a step for students to be able to easily compile reviews.
Pencarian Rute Jasa Pemesanan Penggilingan Padi Berbasis Android Dengan Menggunakan Google Maps

&#x0D; &#x0D; &#x0D; The location where the rice mill service is located is an important thing for most farmers to improve the quality of rice. Clear information about the rice mill is one of the determining factors in choosing a suitable rice mill. For farmers and people who do not know the surrounding area when they are going to do rice milling, it will be difficult to find the nearest rice mill location. There are several weaknesses when using a manual system, including the information obtained is not in accordance with the expected needs, and the distance traveled requires a relatively long time and relatively large cost. The research conducted by the author is to design an application for ordering rice milling services using the waterfall method and using google maps as a method of finding the closest route. The purpose of the study was to determine the application of google maps to the rice mill ordering application. From the results of system testing using blackbox testing, the results show that the application being tested can run and function as expected. While the results of testing the questionnaire by getting an index of 79.75%.&#x0D; &#x0D; &#x0D;
Similarity-based optimised and adaptive adversarial attack on image classification using neural network

Image classification, natural language processing (NLP), and speech recognition have embraced deep learning (DL) techniques. Unrealistic adversarial samples dominate model security research. True hostile attacks are worryingly understudied. These attacks compromise real-world applications. This technique helps comprehend adversarial resistance in real-world challenges. We use real-world cases and data to test whether unreal hostile samples can protect models from genuine samples. Nodal dropouts from the first convolutional layer reveal weak and steady deep-learning neurons. Adversarial targeting links neurons to network adversaries. Neural network adversarial resilience is popular. Its DL network fails to skilfully manipulate input photographs. Our results show that unrealistic examples are as successful as realistic ones or give small enhancements. Second, we investigate the hidden representation of adversarial instances with realistic and unrealistic attacks to explain these results. We showed examples of unrealistic samples used for similar purposes and helped future studies bridge realistic and unrealistic adversarial approaches, and we released the code, datasets, models, and findings.
Natural Language Processing for Requirements Formalization: How to Derive New Approaches?

It is a long-standing desire of industry and research to automate the software development and testing process as much as possible. Model-based design and testing methods have been developed to automate several process steps and handle the growing complexity and variability of software systems. However, major effort is still required to create specification models from a large set of functional requirements provided in natural language. Numerous approaches based on natural language processing (NLP) have been proposed in the literature to generate requirements models using mainly syntactic properties. Recent advances in NLP show that semantic quantities can also be identified and used to provide better assistance in the requirements formalization process. In this work, we present and discuss principal ideas and state-of-the-art methodologies from the field of NLP in order to guide the readers on how to derive new requirements formalization approaches according to their specific use case and needs.Natural Language Processing Requirements Formalization We demonstrate our approaches on two industrial use cases from the automotive and railway domains and show that the use of current pre-trained NLP models requires less effort to adapt to a specific use case. Furthermore, we outline findings and shortcomings of this research area and propose some promising future developments.
Digital Literacy with The Use of Blog Media for Learning to Read Articles in Madrasah Ibtidaiyah Students

Digital literacy is a skill that humans must have in the millennial era. Skills in terms of digital are certainly a must in the field of education. Internet network facilities are increasingly progressively used in Madrasah. However, not all Madrasahs can make the most of internet network facilities. Skills in digital literacy must be maximized to be taught. One of them can be through the medium of blogs for the skills of reading articles. In addition to teaching students how to read articles technically, through digital literacy, they will also be taught to select and sort out reading articles intelligently so that students can filter which readings are useful to them. In other words, directly through digital literacy, blog media teaches students to be more critical in choosing articles that are facts or hoaxes. There are still often conventional learning processes and the learning resources used are also text-based. Therefore, to maximize the use of these facilities, an e-learning learning process is needed. One of them is to use the page. This page-based learning can be applied at an extra-curricular level to make it more interesting and innovative.
Critical Discourse Analysis on the Causes of South Kalimantan Floods in Tirto.id as Alternative Teaching Materials for Explanatory Texts in High Schools

Critical discourse analysis (AWK) becomes an interesting study, because in a discourse is not solely seen from the aspect of what is written or the aspect spoken. AWK Van Dijk model becomes its own characteristic because in it there are many parts such as super structure, macro and micro structure. In the online news that there is a Tirto.id page about the causes of floods in South Kalimantan, there are many news stories that are found the same, but have differences in intent and purpose. The cause of this flood became a debate between parties and circles so it was packed with interest by Tirto.id. This research uses qualitative methods of desriptive by parsing the data using documentation techniques and analytical techniques. This study produced data and analysis that discussed superstructure, macro structure, and microstructure contained in three online news themed on the causes of flooding in South Kalimantan. From the online news can also be used as teaching material in the learning of explanatory texts, to increase knowledge about the news in the text read or heard.&#x0D;
POLA DISTRIBUSI HUJAN DAN PENGARUHNYA TERHADAP PENYIMPANGAN HIDROGRAF BANJIR DAS JANGKOK

Determining the rain pattern distribution is believed to affect the design flood. Providing hourly rainfall observations can be obtained, and the distribution patterns can be determined. However, in areas that do not have one, flood discharge calculations are carried out by distributing daily rainfall using empirical methods. This study distributes daily rainfall into hourly rainfall in the Jangkok watershed using ABM and Mononobe methods and calculates the flood hydrograph using the Nakayasu model. The synthetic unit hydrograph obtained from the actual rain distribution is then compared with the unit hydrograph generated from the empirical distribution, then the deviation is measured. The results showed that the Mononobe and ABM rain distribution gave the same hydrograph shape as the observation one, only for 2 hours of rain duration. As long as the rain lasts 3-6 hours, the peak flood discharge (Qp) tends to be lower, 7-20% for Mononobe and 2-7% for ABM. Then the Qp becomes overestimated (5-12%) for a rain duration of &gt;6 hours. Mononobe gives the same flood peak time (Tp) as observation rain for 1-5 hours rain duration and becomes 1 hour earlier for &gt;6 hours. In contrast, ABM produces peak times 1 hour longer than hydrographs with observation rain. Generally, the two methods provide a more significant hydrograph deviation for a longer duration of rain.
EVALUASI TATA KELOLA TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 5 STUDI KASUS: CV. BATARA JAYA TRANSPORTASI (YOJOL)

&lt;em&gt;Currently, information technology is an important part for companies to meet their needs and support the achievement of the company's strategic plans. Providing competitive advantages, increasing effectiveness, time and reducing expenses is the role of information technology that is very vital in today's business area, as well as CV Batara Jaya Transportasi, which has prioritized information technology in daily activities. By examining information technology governance using the COBIT 5 framework in a company, it can be seen whether the company has met the indicator requirements. In this study, an audit of the governance framework and maintenance was conducted at CV. Batara Jaya Transportasi (YoJol) to find out the ability indicators and the results have been obtained by using a questionnaire distributed to the company. In this study, it was found that CV. Batara Jaya Transportasi (YoJol) has achieved the results expected.&lt;/em&gt;
PERANCANGAN AUGMENTED REALITY TATA LOKASI GEDUNG DAN RUANGAN PADA KAMPUS I UINSU MEDAN BERBASIS ANDROID

&lt;p&gt;Augmented reality is a technologycal development that can display two dimensional or three dimensional virtual objects into a real scope and then display them or display them in real time. Augmented reality technology in the application of building and room location layout on UINSU Medan campus I is an application that uses the markerless user defined target method, which is a method that applies it without using a marker or marker to dismantle the 3D augmented reality map of UINSU Medan campus I environment. This application program can help users to find buildings and rooms within the building, without having to ask the security guard or see an image map that is on campus locations, with this technology users can determine where children are without having to be in first. Campus environment. This application runs on the Android operating system and is offline based, so it can be more easily accessed by all users.&lt;/p&gt;
FedVMR: A New Federated Learning Method for Video Moment Retrieval

Despite the great success achieved, existing video moment retrieval (VMR) methods are developed under the assumption that data are centralizedly stored. However, in real-world applications, due to the inherent nature of data generation and privacy concerns, data are often distributed on different silos, bringing huge challenges to effective large-scale training. In this work, we try to overcome above limitation by leveraging the recent success of federated learning. As the first that is explored in VMR field, the new task is defined as video moment retrieval with distributed data. Then, a novel federated learning method named FedVMR is proposed to facilitate large-scale and secure training of VMR models in decentralized environment. Experiments on benchmark datasets demonstrate its effectiveness. This work is the very first attempt to enable safe and efficient VMR training in decentralized scene, which is hoped to pave the way for further study in the related research field.