Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF ENGLISH SPEAKING BASED ON STORYTELLING TO OVERCOME THE DIFFICULTIES

ABSTRACT: This study aims to determine the development, validity and effectiveness of English speaking by storytelling to overcome the difficulties. This research is a research and development (R&amp;D) using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The instruments used in this research are test, Lesson Plan assessment questionnaire (Very Bad, Not Good, Not So Good, Good, and Very Good), digital storytelling assessment questionnaire by media expert, and Student response questionnaire analyzed qualitatively based on their answers in the form of Agree and Disagree. Hasil uji dari validator melalui desain media secara keseluruhan mendapatkan kriteria sangat layak (88,33%) sehingga Bahan Ajar dapat digunakan sebagai bahan ajar peserta didik dalam proses pembelajaran. Material validation results are 93.3% and media validation results are 98.3%. Based on the two validity criteria that have been explained, the results of the material and media designed are Very Valid with descriptions that can be used without revision. The results of the effectiveness of the test are 75% of these results indicate that storytelling materials and media are effectively used in learning English, especially in speaking.Keyword: English Speaking, Development, Storytelling
Comparative Study of Zamzam, Bottled Drinking and Distilled Waters by a Novel Computer Simulation Speckle Photography Method Using Fourier Transform

The refractive index of a liquid medium is an important optical parameter since it exhibits the optical properties of the liquid.Its values are often required to interpret various types of spectroscopic data.The intensity distribution and contrast of image speckle patterns obtained for Zamzam, bottled drinking and distilled waters are investigated on a computer as a function of six discrete wavelengths across the visible spectrum.The present novel computer simulation speckle photography using Fourier transform study and the new theoretical background have been confirmed with previous experimental results.Uncertainty of refractive index measurements was studied on a wide range of discrete wavelengths using the computer simulation and the new theoretical formulae.
Rancangan Plugin Multiplayer Game MOODLE Learning Management System (LMS) berbasis WebSocket pada Google Cloud Server yang Berspesifikasi Rendah

With increasing needs for online or online learning and teaching activities, educational institutions need solutions for hosting their data online. The available options include building their own data center or renting a Virtual Private Server (VPS) service that is widely available. Considering the high setup and maintenance costs, many institutions choose VPS rental options such as Google Cloud Server. Moodle Learning Management System (LMS) is one of the most affordable and open-source online learning software solutions for low-cost servers. This paper will discuss the design and implementation of the Moodle Plugin that utilizes WebSocket technology to accommodate the interactive learning process with Multiplayer Games. The result of the study reports that the plugin can accommodate and simulate an increase of 1% in CPU per 15 connections and an increase of 2MB per 15 connections. Which concluded still an affordable solution for low-cost servers for real-time connection.
Creating Video Visual Storyboard with Static Video Summarization using Fractional Energy of Orthogonal Transforms

The overwhelming number of video uploads and downloads has made it incredibly difficult to find, gather, and archive videos.A static video summarization technique highlights an original video's significant points through a set of static keyframes as a video visual storyboard.The video visual storyboards are created as static video summaries that solve video processing-related issues like storage and retrieval.In this paper, a strategy for effectively summarizing static videos using the feature vectors, which are fractional coefficients of the transformed video frames, is proposed and evaluated.Four popular orthogonal transforms are deployed for generating feature vectors of video frames.The fractional coefficients of transformed video frames taken as 25 percent, 6.25 percent, and 1.5625 percent of full 100 percent transformed coefficients are considered to form video visual storyboards.The proposed method uses the benchmark video datasets Open Video Project (OVP) and SumMe to validate the performance, containing user summaries (storyboards).These video summaries created using the proposed method are evaluated using percentage accuracy and matching rate.
USING DROP EVERYTHING AND READ (DEAR) TECHNIQUE TO IMPROVE READING COMPREHENSION OF DESCRIPTIVE TEXT

The objective of this study was to find out whether or not there was any significant differences on reading comprehension of descriptive text between the tenth grade students' of SMA Methodist 4 Talang Kelapa who were taught using DEAR technique and those who were not.A quasi experimental research design was used in this study.There were 70 students taken as the sample who were chosen by using purposive sampling technique, consisting of 35 students as the experimental group and 35 students as the control group.In collecting the data, reading comprehension test of Descriptive text was used.The result of independent sample t-test found that t-obtained 3,531 was higher than t-table 1,995 with the degree of freedom (df=68) and the signicant 2-tailed was 0,001.It meant that the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted.It indicated that there was a significant difference on reading comprehension of descriptive text between students who were taught using DEAR technique and those who were not.Therefore, DEAR technique was effective to be used as a technique in teaching reading comprehension.Besides that, teaching reading through the DEAR technique also able to improve and maintain the students' concentration, interest and enjoyment in reading the English text.
An Analysis of the post-COVID-19 Information Distribution on Social Media

The pandemic has transformed various aspects of everyday life. Since it first spread in 2020 until this day, the world has drastically reduced face-to-face interaction, resulting in almost all daily activities have been adapted to the virtual world. Social media, the bridge that connects people at this time when social distancing is imposed, records public issues and opinions in these difficult times. Entering the post-pandemic era, social media plays an important role in recording the world's journey to deal with the impact of COVID-19. This study examines the dissemination of information in one of the social media that is widely used by the world's population, Twitter. With the quantitative method, the distribution of information on Twitter related to what issues are being discussed post-pandemic is analyzed. The trend of information in this application shows the focus mainly fell on various social issues that affect many people, especially regarding economic recovery. The results of this study can be used as a source of information or a reference source, and can also be used as data in predicting various kinds of post-pandemic activities.
Drug Inventory System Using Visual Basic.Net at Winni Farma Pharmacy

Winni Farma pharmacy is one of the pharmacies whose drug inventory data processing still uses the conventional system, where inventory management activities are still carried out manually which are recapitulated every month. The process of recording transaction data reports on the sale of incoming goods, outgoing goods and orders that are still using Microsoft Excel. By using Microsoft Excel, many obstacles are found that cause the work process to be ineffective and efficient. To overcome this problem, a drug inventory system program was created at the Winni Farma Pharmacy. With the aim that the management of drug inventory management is more accurate, orderly and easier to search for drug stock data, while indirectly increasing work performance and effectiveness at the Winni Farma Pharmacy. The research method that the researcher uses in making this application is from a manual or conventional system to a system development (electronic system) using the waterfall model. The waterfall system development method is a sequence of activities or activities carried out in system development starting from problem determination, actual system analysis, new system analysis, design, system implementation and testing. The software used in making this application is using Visual Basic.Net application. and supported by a Microsoft Access database with the results obtained in accordance with expectations and the use of the program has been implemented.
Implementation of social relay races in the university as a condition for the preparation of future teachers for the implementation of educational activities

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Pengembangan Buku Ajar Matakuliah Penelitian Pembelajaran Bahasa dan Sastra Indonesia untuk Meningkatkan Kompetensi Mahasiswa PBSI

Starting from direct observation of the Indonesian Language and Literature Education (PBSI) student of IKIP Budi Utomo Malang, the subject of Research on Indonesian Language and Literature Learning. Students have difficulty distinguishing concepts between Indonesian language learning research, Indonesian Literature learning research, Indonesian language research, and Indonesian Literature research. Another thing is the problem of developing learning resources (textbooks) submitted to each PT. Of course, the textbooks produced are not the same, even among lecturers who are teaching courses. From these implications, the researchers adopted this research. This study has the following objectives: (1) Developing textbooks for Indonesian Language and Literature Learning Research courses to improve the competence of PBSI students; (2) Describe the feasibility level of textbooks for Indonesian Language and Literature Learning Research subjects; (3) Describe the effectiveness of the results of the development of textbooks for Indonesian Language and Literature Learning Research subjects. Research and development (R&amp;D) methods are used to produce a product in the form of textbooks for Indonesian Language and Literature Learning Research subjects. The results show that the difference with other textbook products lies in the detail in differentiating and combining two different things into one systematic and continuous unit. In addition, textbooks written introduce the SHSB (One Day One Chapter) target, have an interesting concept map, synergize, and make it easier for students to know and understand the concepts according to the topic. Conclusion: the research used is a needs analysis, beginning with participant observation, the researcher becomes a part and takes part in the context being observed to find out the potential and problems that occur in the field and collect information as a data source. Next, conduct development research and trials, describe the feasibility level, and describe the effectiveness of the results of textbook development.
Face Recognition under Illumination based on Optimized Neural Network

Face recognition is a significant area of pattern recognition and computer vision research.Illumination in face recognition is obvious yet challenging task in pattern matching.Recent researchers introduced machine learning algorithms to solve illumination problems in both indoor and outdoor scenarios.The major challenge in machine learning is the lack of classification accuracy.Thus, the novel Optimized Neural Network Algorithm (ONNA) is used to solve the aforementioned drawback.First, we propose a novel Weight Transfer Ideal Filter (WTIF) which is employed for pre-processing to remove the dark spots and shadows in an image by normalizing low frequency and high frequency of illumination.Secondly, Robust Principal Component Analysis (RPCA) is employed to perform efficient extraction of features based on image area representation.These features are given as input to ONNA which classifies the given input image under illumination.Thus we achieve the recognition of the face under various illumination conditions.Our approach is analyzed and compared with existing approaches such as Support Vector Machine (SVM) and Random Forest (RF).ONNA is better in terms of high accuracy and low error rate.
Infinite Learning

Lifelong learning occurs when individuals live by a philosophy of continuous growth. These learners are able to adapt to the numerous changes throughout their lives such as technological advances, societal, education, career, etc. Speakers: Elizabeth Mikesh, Barba Aldis Patton Published in: London International Conference on Education (LICE-2021) Date of Conference: 22-24 November 2021 DOI: […]
Implementasi Algoritma Genetika pada Tata Ruang Ibukota Kecamatan (Studi Kasus : Desa Hantara)

Spatial planning is an obligation that must be carried out by each Regional Government. At present, spatial planning is still conventionally planned by the spatial planning company. Regarding with the object of research that the authors examined, namely Hantara Village, Hantara Village did not yet have a plan for how the future projection and development of Hantara Village. With a touch of information technology, for now spatial planning can be done using an application by implementing a method that is Genetic Algorithm into the application .Genetic Algorithm is an optimal search algorithm which is in its implementation the genetic algorithm will look for the most optimal points which is match with the constraints that have been determined based on law 26 of 2007 concerning Spatial Planning. Then the search results of the genetic algorithm data will be visualized by using the features of the mapbox, the online map provider. In software development, the author use the Rational Unified Process (RUP) method which has four stages, namely: Inception, Elaboration, Contruction, and Transition. This application is built use the python programming language, along with html and javascript for visualizing the data. Based on the results of this research the authors can conclude that this research can make a projection of residental area in Hantara village accordance with genetic algorithm and its constraint.Keywords— Sepatial Planning, Genetic Algorithm, Data Visualization, RUP, Python
Eigen and HOG Features based Algorithm for Human Face Tracking in Different Background Challenging Video Sequences

We are proposing a unique novel algorithm for tracking human face(s) in different background video sequences.In the beginning, Eigen features and corner points are extracted from the detected face(s).HOG (Histograms of Oriented Gradients) features are isolated from corner points.Eigen and HOG features are combined together.Using these combined features, point tracker keeps track of the face(s) in the frames of the video sequence.Proposed algorithm is being tested on challenging datasets video sequences with technical challenges such as partial occlusion (e.g.moustache, beard, spectacles, helmet, headscarf etc.), changes in expression, variations in illumination and pose; and measured for performance using standard metrics such as accuracy, precision, recall and specificity.Experimental results clearly indicate the robustness of the proposed algorithm on all different background challenging video sequences.
[Invited Paper] 3D Display and Interactive Technology in Metaverse

3D displays and interactive technology play an important role in the Metaverse. This paper addresses and analyzes 3D display and depth sensing technologies applied in the Metaverse. Combining key 2D to 3D conversion algorithms, depth information reconstruction technology which is based on structured light and time of flight technology, realizes the 3D vision of the Metaverse. At the same time, it introduces 3D interactive technologies in detail. Through single-lens interactive technology, dual-lens interactive technology and depth camera interactive technology, it explains the 3D interaction way of the Metaverse. The forward-looking 3D display and interactive technology, will be able to realize a more perfect Metaverse world. We hope the coming of the Metaverse Era will create a better future.
Media Flash Card dalam Pembelajaran Keterampilan Berbicara di Madrasah Tsanawiyah

The researcher chose this topic because teaching speaking skill has problems, including: Students' lack of inclination to speak Arabic, not using the medium to teach speaking skill, the lack of students' interaction in teaching Arabic and the lack of students' motivation to speak. The purposes of this research are: (1) To know use of flash card media in speaking skil learning at Al-Ihsan Islamic middle school Jakarta, (2) to know is the student ability of using the flash card media in speaking skil learning at Al-Ihsan Islamic middle school Jakarta (3) To know how far is the effectiveness of using the flash card media in speaking skil learning at Al-Ihsan Islamic middle school Jakarta. This research is a quantitative research, with an experimental method that uses the type of one group pretest posttest design. While the method of data collections were using observation, interviews, oral test and documentation. After the researcher carried out the pre-test and post-test activities orally, the researcher obtained the average result, the pre-test was 63.71 and the post-test average result was 70.57 then analyzed it with the T-test and got the t-table results. (0.975) which is 1.99 while the t-count is 16.41 which is greater than the result of the t-table. And shows the comparison value that the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. The researcher knows that the application of flashcard media has proven its effect on speaking skills.
Exploration in Sequential Recommender Systems via Graph Representations

Temporal graph networks are powerful tools for solving the cold-start problem in sequential recommender systems. However, graph models are still susceptible to feedback loops and data distribution shifts. The paper proposes a simple yet efficient graph-based exploration method for the mitigation of the aforementioned issues. It adopts the counter-based state exploration from reinforcement learning to the bipartite graph domain. We suggest a method that biases model predictions using Rooted PageRank towards locally unexplored items. The method shows competitive quality on the popular recommender systems benchmarks. We, also, provide an extensive qualitative analysis of experiment results and recommendations for the use of our method in production applications.
Peningkatan Penggunaan Aplikasi Asesmen Kompetensi Minimum Dan Video Pembelajaran Animasi (Viber)

students, parents are required to be able to adapt to technological advances in the learning process. The development and use of computer technology in the education system can make reforms for a better education system. Until now, forcing the learning process to continue to maintain the stability of delivering material to students. The state of the ability to master information technology between students, teachers and parents there is a gap. These various abilities force equalization of abilities, thereby minimizing the failure of abilities in delivering and receiving material during the learning process. For this reason, assistance, socialization and training are needed so that technology mastery is better. The existence of a gap in understanding and ability of information technology is a problem in itself when learning online in the current era. This activity was carried out at SDN 95 Bengkulu Selatan, Bengkulu Province. The goal is to improve the quality of learning, while the product of the service results is learning media to support the student learning process to help minimize the gap in information technology mastery and help technology-based learning to be carried out well and the absorption of material during learning can be maximized. From the minimal adequacy assessment carried out by sampling on grade 5 students, significant results were obtained, namely an 80% increase in problem solving ability between pre-test and post-test
Who Needs These Operators Anyway: Top Quality Planning with Operator Subset Criteria

Top-quality planning in general and quotient top-quality planning in particular deal with producing multiple high-quality plans while allowing for their efficient generation, skipping equivalent ones. Prior work has explored one equivalence relation, considering two plans to be equivalent if their operator multi-sets are equal. This allowed omitting plans that are reorderings of previously found ones. However, the resulting sets of plans were still large, in some domains even infinite. In this paper, we consider a different relation: two plans are related if one's operator multiset is a subset of the other's. We propose novel reformulations that forbid plans that are related to the given ones. While the new relation is not transitive and thus not an equivalence relation, we can define a new subset top-quality planning problem, with finite size solution sets. We formally prove that these solutions can be obtained by exploiting the proposed reformulations. Our empirical evaluation shows that solutions to the new problem can be found for more tasks than unordered top-quality planning solutions. Further, the results shows that the solution sizes significantly decrease, making the new approach more practical, particularly in domains with redundant operators.
Penerapan Strategi Practice Rehearsal Pairs pada Pembelajaran IPS Siswa

This study aims to determine the significant completeness of social studies learning outcomes for fifth grade students of SD Negeri 1 Air Satan after the Practice Rehearsal Pairs strategy was applied. The research method used is a quasi-experimental. The population in this study were all fifth grade students of SD Negeri 1 Air Satan totaling 51 students and the research sample was 25 students in grade IV, consisting of 10 male students and 15 female students taken by simple random sampling. Data collection techniques using multiple choice test techniques. Data analysis technique using t test. Based on data analysis, it was obtained that the average value of the Pre-test was 57 and the average value of the Post-test was 78.76 with a confidence level of 5%, it was obtained tcount = 3.776 and ttable = 1.771 because tcount&gt; ttable then, Ha was accepted and Ho was rejected. From the results of data analysis, it was concluded that the social studies learning outcomes of fifth grade students of SD Negeri 1 Air Satan after the Practice Rehearsal Pairs strategy was implemented were significantly completed.&#x0D; &#x0D; Keywords: Practice Rehearsal Pairs strategy, Social Studies Learning Outcomes, Elementary School
Processing big data applications with optimistic genetic algorithm based association rule mining

In detecting the relationship between data elements and multiple levels of abstractions, multi-level association rule mining plays a key role. To address this problem in literature, we have some search schemes such as FP-growth and Apriori. These search schemes face utmost computational cost when applied in big data sets for searching association rules. A novel genetic-based scheme with key modernizations enhances searching multi-level association rules. It minimizes the over computational cost in the script. As a first keynote, to detail, multi-level application data sets as domain knowledge category trees are used. A special tree encoding representation has been proposed as a second keynote using a category tree to prepare an experimental multi-level association mining algorithm. As the final and critical design part, an optimized genetic algorithm has been submitted, which minimizes the search space extremely in association rule and reduces the computational cost. Genetic Algorithm operators similar selection, crossover also mutation have been applied on association rules to predict strong association rules. This proposed scheme is used in big data applications, especially for mining multi-level association rules.