Reviewerly/exHarmony huggingface dataset:
Desain dan Implementasi Program E-Learning Berbasiskan ICT

This paper describes the Design and Implementation of ICT-based E-learning programs that can be used for learning either through computer networks or personal computers (PCs) with CD ROMs. This research includes software engineering with methods of analysis, design, coding and evaluation. Based on the results of the study, it was obtained that the Design and Implementation of E-learning Program consisted of modules of material presentation, demo, analysis, examination, Practice test, Problem Answer and Help Module. The module can function as a learning tool that facilitates learning needs for learning activities that include reading, staring, watching, peeping, observing, simulating, demonstrating, answering questions, entering data, listening, tracing teaching materials, working on problems, and finding answers to problems.
RENOVATION OF MUSHOLLA AL IKHLAS AT JL. RAWASARI TIMUR NO.18, RT.18/RW.2, CEMPAKA PUTIH TIMUR, JAKARTA PUSAT

The current condition of Mushollah Al Ikhlas needs to be developed because the congregation of Mushollah Al Ikhlas is increasing and increasingly unable to be accommodated. In addition to the height of the bathroom floor which is not comfortable to use, the number of toilets is only one, there is only one ablution area, there is no division of ablution areas for men and women. When Friday prayers are often not accommodated, the congregation is often not accommodated, especially when the month of Ramadan arrives, the congregation is not accommodated so that they are forced to worship in the road area around the Al Ikhlas Mosque. To overcome this problem, the manager of the Al Ikhlas Mushollah wants to increase the Mushollah room to 2 floors. Based on these conditions, it is necessary to develop and add facilities for the Mushollah Al Ikhlas, thus it is necessary to design the renovation of the Mushollah Al Ikhlas as a first step before the construction of the renovation of the Mushollah Al Ikhlas. The method of implementing the activities uses the Architectural Design Process. Where the design of the renovation of the Mushollah Al Ikhlas is adjusted to the input from the manager of the Mushollah, while the working drawings of the design of the renovation of the Mushollah are adjusted to architectural standards. The purpose of the Mushollah renovation design is so that the Mushollah is able to accommodate worshipers when performing Friday prayers and tarawih activities during the month of Ramadan in accordance with architectural standards and in accordance with the concept of the Cempaka Putih Mushollah, so that provide comfort for the congregation of Mushollah. The stages of implementing the activity begin with licensing the implementation of activities, site surveys or location observations, coordination with the mosque management, measuring and drawing the mosque to be renovated, making working drawings, Budget Plans, and 3D drawings of buildings, drawing consultations, construction of mosque renovations, monitoring development progress. The result of this activity is the application of architectural design in the construction of the renovation of the Al Ikhlas mosque in Cempaka Putih, Central Jakarta.
High-Altitude Pedestrian Detection Based on Improved YOLOv3

As one of the main tasks in the field of computer vision, pedestrian detection aims to find out all pedestrians in the image or video. The existing YOLOv3 is a relatively mature object detection method. However, for the long-distance pedestrian detection task in high-altitude scenes, YOLOv3 has the limitations of low detection speed and low detection accuracy. This paper proposes an improved YOLOv3 method briefly called YOLOv3-M for the high-altitude pedestrian detection, which replaces the feature extraction module called darknet53 in YOLOv3 with MobileNetv1. Specifically, YOLOv3-M first constructs the dataset with the small objects of high-altitude pedestrians as the detection object. Then, it uses the K-means + + algorithm to re-cluster the high-altitude pedestrian dataset. Next, it uses the Distance Intersection over Union (DIoU) loss function to alleviate the problem of high-altitude pedestrian overlapping. Experimental results show that the proposed YOLOv3-M improves the detection precision and the detection speed compared to YOLOv3.
An Efficient Image Retrieval System using GLCM Features and Kullback Leibler Divergence

Image processing is a process of extracting features from an image. The features of the image are extracted using the correlation model, based on Gray-Level Co-Occurrence Matrix (GLCM). Each of the images considered for data set are converted into gray level before applying Gaussian Mixture Model (GMM). The features extracted from GLCM are given as an input to the model-based technique so that the relative Probability Density Functions (PDF) are extracted. The comparison is carried out in the same manner by identifying the relative PDF of the training set and test data by using KullbackLeibler divergence method (KL-Divergence). In this paper an attempt is made for developing an effective model to retrieve the images based on features by considering GLCM and GMM. The results derived show that the proposed methodology is able to retrieve images more effectively.
KnowMeme: A Knowledge-enriched Graph Neural Network Solution to Offensive Meme Detection.

This paper studies a critical problem of identifying offensive meme posts on online social media where images are superimposed with deliberately altered or crafted captions to deliver offensive information. Existing solutions often ignore the implicit relationship between visual and textual contents in the meme and their implied meanings, which are critical to accurately detect offensive memes. Two important challenges exist in solving the problem: i) how to effectively incorporate human commonsense knowledge to capture the symbolic or implied meaning of the meme contents that implicitly deliver offensive information? ii) How to accurately identify the cross-modal knowledge-based relations between entities in both the visual and textual content of the meme that jointly insinuate offensive messages? To address the above challenges, we develop KnowMeme, a knowledge-enriched graph neural network solution that leverages knowledge facts from human commonsense knowledge to effectively detect offensive meme posts on online social media. Evaluation results show that KnowMeme achieves significant performance gains compared to the state-of-the-art baseline methods in accurately detecting offensive memes.
Towards Realistic Single-Task Continuous Learning Research for NER

There is an increasing interest in continuous learning (CL), as data privacy is becoming a priority for real-world machine learning applications. Meanwhile, there is still a lack of academic NLP benchmarks that are applicable for realistic CL settings, which is a major challenge for the advancement of the field. In this paper we discuss some of the unrealistic data characteristics of public datasets, study the challenges of realistic single-task continuous learning as well as the effectiveness of data rehearsal as a way to mitigate accuracy loss. We construct a CL NER dataset from an existing publicly available dataset and release it along with the code to the research community.
Developing learning supplement book of Cell Mitotic Division material for Junior High School students

Cell division is an abstract material for middle school students in which learning resources and supporting learning media are compulsory to use. This research and development aimed at developing learning supplement book of mitotic cell material for IX graders which eases them to identify cell division, particularly in mitotic phase. This study was developed based on ADDIE model which comprised of four stages (i.e. Analysis, Design, Development, Implementation, and Evaluation). The validation test was conducted by teaching and learning material experts. The two stage tests were conducted in small and large trial groups. The qualitative and quantitative data gained were analyzed using percentage. The results showed that the percentage values were 86.2% (very feasible) for teaching material, 99.4% (very feasible) for learning material. The small-scale trial gained 87.8% (very feasible), meanwhile the large-scale test gained 88.3% (very feasible). In conclusion, the mitotic learning supplement book of cell division material for junior high school can be used as teaching material in classroom learning activities.
Hubungan Persepsi tentang Pembelajaran Ekonomi dan Kemampuan Awal dengan Hasil Belajar Mata Pelajaran Ekonomi

This study aims to determine the relationship: 1) Students 'Perceptions of Economic Learning and Initial Ability and Learning Outcomes, 2) Students' Perceptions of Economic Learning and Learning Outcomes, 3) Initial Ability and Learning Outcomes. The research was conducted on students at SMA Negeri 7 Padang. This type of research is a quantitative study with a correlational method. The sampling technique used in this study was proportional random sampling with a sample of 143 students. The data used are secondary and primary data. Data collection techniques in the form of questionnaires and tests. Data analysis used descriptive and inductive analysis using normality test, linearity test, hypothesis test using person correlation test and determination coefficient test, where analysis was performed using SPSS Version 22. The results showed that 1) students' perceptions of economic learning and initial abilities had a moderate relationship with learning outcomes seen from the simultaneous contribution of 0.597 with sig 0.000 ˂ 0.05. 2) students' perceptions about economic learning and learning outcomes have a very strong relationship with the Pearson Correlation value 0.819 with Sig 0.000 ˂ 0.05. 3) initial ability with learning outcomes has a moderate relationship with the Pearson correlation value of 0.596 with sig 0.000 ˂ 0.05.Keywords : students perceptions of learning economics, initial abilities, learning outcomes
EFFECTIVENESS OF USING WORD MAPPING STRATEGY IN INCREASING STUDENTS’ VOCABULARY MASTERY AT SMP NEGERI 3 KAPONTORI

Lack of vacabularies effects the learners in understanding English. The aim of this study was to find out the effectiveness of using word mapping strategy in increasing students’ vocabulary mastery at SMP Negeri 3 Kapontori. This study used Pre-Experimental design. The population was students of class VIII SMP Negeri 3 Kapontori academic year 2019/2020. T-test was used for analyzing the data. Research findings showed ttest was lower than ttable (-13.248 &lt; 2.079). In conclusion, word mapping strategy effect positively on students’vocabulary mastery at SMP Negeri 3 Kapontori.
Preliminary Reflections on the Ontological Significance of Blockchain Technology for Trust and Trustworthiness

Digitalisation encompasses all areas of life and is thus also relevant for theology and the Church. This is not just about the possible uses of social media; in this anthology, digitalisation is understood as a phenomenon that shapes society, the Church and theology with the help of various technologies, such as artificial intelligence. In this context, theology and the Church represent places of digitalisation on the one hand, and, at the same time, the discourse on digitalisation can be advanced with the help of theological thinking on the other. This anthology is both theologically ecumenical and is anchored in an international context. The editors' research focus is on ethics. With contributions by Aaron J. Butler, Heide A. Campbell, Michael Fuchs, Stephen Garner, David J. Gunkel, Florian Höhne, Birte Platow, Raphael Salvi, Thomas Schlag, Peter Seele, Joachim Wiemeyer and Lukas Zapf.
Context-Based Expert Finding in Online Communities Using Ant Colony Algorithm

Online communities are the most popular interactive environments on the Internet, which provide users with a platform to share their knowledge and expertise. The most important use of online communities in cyberspace is sharing knowledge. These communities are a great place to ask questions and find answers. The important challenges of these communities are the large volume of information and the lack of a method to determine their validity as well as expert finding which attracted a lot of attention in both industry and academia in. Therefore, identifying persons with relevant knowledge on a given topic and ranking them according to their expertise score can help to calculate the accuracy of the comments submitted on the internet. In this research, a model for finding experts and determining their domain expertise level by the aid of statistical calculations and the ant colony algorithm in the MetaFilter online community was presented. The WordNet Dictionary was used to determine the relevance of the user’s questions with the intended domain. The proposed algorithm determines the level of people’s expertise in the intended field by using the pheromone section of the Ant colony algorithm, which is based on the similarity of the questions sent by the users and the shared knowledge of the users from their interactions in the online community.
Lab vs. Production: Two Approaches to Productivity Evaluation for MTPE for LSP

In the paper we propose both kind of tests as viable post-editing productivity evaluation solutions as they both deliver a clear overview of the difference in speed between HT and PE of the translators involved. The decision on whether to use the first approach or the second can be based on a number of factors, such as: availability of actual orders in the domain and language combination to be tested; time; availability of Post-editors in the domain and in the language combination to be tested. The aim of this paper will be to show that both methodologies can be useful in different settings for a preliminary evaluation of possible productivity gain with MTPE.
A Study on Effects of Code Review on Reasoning of Aviation Engineers

We aim to identify how code review, which helps integrate information in C programming learning, affects the knowledge of reasoning divided into three categories.Thirty-eight college students studying aeronautical engineering were classified as "understanding and experience in reasoning overview", "understanding and experience in reasoning classification", and "expectation in use of reasoning", and the effects of code review were then analyzed.Reliability analysis, descriptive statistical analysis, correlation analysis, and regression analysis were performed using Pandas.Based on the results of Pearson's Correlation Coefficient between the questions on the knowledge of reasoning and Pearson's Correlation Coefficient between questions on code review, the correlation level of code review was lower than that of knowledge of reasoning.The data learning results showed an a-value of 16.455 and a b-value of 0.579 in the first survey, an a-value of 16.195 and a b-value of 0.700 in the second survey, and an avalue of 11.729 and a b-value of 0.829 in the third survey.The performance evaluation results showed that the MSEs were 81.171, 58.854, and 54.029 in the first, second, and third surveys, respectively.In addition, the RMSEs were 9.009 for the first survey, 7.671 for the second survey, and 7.350 for the third survey.For the hypothesis testing of this study, the significance probability of .024was found in the first survey, .009was found in the second survey, and .041was found in the third survey, indicating that it was significant in all three surveys
Learning English language on social media

Today social media has become part and parcel of adults’ lives. Adult learners use social media much as a key to learn and improve their English as a foreign language (EFL) in academics. Currently, English instructors also encourage their adult learners within the realm of technologies. These students are very keen to use social media to learn English. Social media is for both teachers and educators in the process of texting, chatting and communicating with friends, family and the global community on Facebook, WhatsApp, Blogs, Wikis, LinkedIn, YouTube, Twitter, Telegram, Hangout and Snapchat simplifies and improves the process.
Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot.

Athena 2.0 is an Alexa Prize SocialBot that has been a finalist in the last two Alexa Prize Grand Challenges. One reason for Athena’s success is its novel dialogue management strategy, which allows it to dynamically construct dialogues and responses from component modules, leading to novel conversations with every interaction. Here we describe Athena’s system design and performance in the Alexa Prize during the 20/21 competition. A live demo of Athena as well as video recordings will provoke discussion on the state of the art in conversational AI.
ADOPTION OF ONLINE TRANSPORTATION INNOVATION BASED ON GAMIFICATION OF WORK IN APPLICATION REVIEW AND DRIVER PERFORMANCE

Gamification applications were initially used in gameplay to cause fun and motivation. Furthermore, this application is used in education for the learning process and within the company in developing employee performance. This study reviews and analyzes the gamification of the work model on online drivers as partners of application users. Land transportation has transformed where motorized vehicles are used as a business medium through gamification-based applications. The members of the Go-Jek management team as online motorcycle taxi drivers have exceeded two million people. The facility is popular because of changes in people's lifestyles and reasons for employment. This study focuses on the attitude of motorcycle taxi drivers as users of gamification-based online applications to measure performance and finds models within the diffusion of innovation. A qualitative study approach to sense-making was used by interviewing 30 drivers in five major cities in Central Java. The results found that gamification-based online motorcycle taxi applications were adopted after passing the knowledge stage based on socio-economic aspects, individual willingness, and established communication patterns. This was followed by the persuasion stage, which included profit, observation, trial-ability, compatibility, complexity, and risk. Adopters decide, implement, and confirm their willingness to accept the innovation to maintain or improve quality during the persuasion stage.
Spelling Correction for Russian: A Comparative Study of Datasets and Methods

We develop a minimally-supervised model for spelling correction and evaluate its performance on three datasets annotated for spelling errors in Russian.The first corpus is a dataset of Russian social media data that was recently used in a shared task on Russian spelling correction.The other two corpora contain texts produced by learners of Russian as a foreign language.Evaluating on three diverse datasets allows for a cross-corpus comparison.We compare the performance of the minimallysupervised model to two baseline models that do not use context for candidate re-ranking, as well as to a character-level statistical machine translation system with context-based re-ranking.We show that the minimallysupervised model outperforms all of the other models.We also present an analysis of the spelling errors and discuss the difficulty of the task compared to the spelling correction problem in English.
Artificial intelligence in the system of intellectual property right objects

International scientific conference «Legal education and science as the need of the hour: new European challenges» : conference proceedings, October 8–9, 2021. Łódź, the Republic of Poland : "Baltija Publishing", 2021. 178 pages.
Work-in-Progress: Fast Generation of Optimized Execution Plans for Parameterizable CNN Accelerators

Generating an optimal execution plan for a given convolutional neural network (CNN) and a parameterizable hardware accelerator is a challenge. We present a framework that finds an execution plan that maximizes throughput for a given network and a specific configuration of our parameterizable accelerator. The framework first generates tiled dataflows for each layer, then maps the dataflows to the different independent hardware units using techniques borrowed from traditional list scheduling. Evaluated with a number of different networks and different hardware configurations, the presented framework clearly outperforms existing approaches in terms of speedup or schedule generation time.
Penerapan Metode Lean Ux Pada Pengembangan Aplikasi E-learning Berbasis Web Di Smas Al-fityan

E-learning is a medium of online learning web-based and or mobile that is applied in some schools. Due to the increasing spike in COVID-19, some schools have had to change the learning process to online or asynchronous (not at the same time). Online learning certainly requires facilities in the form of liaison media between teachers and students, namely e-learning. E-learning is generally accessible by teachers to provide materials, assignments, exams/quiz, grades, etc. and students can receive materials, assignments and exams/quiz, etc. applications E-learning are now widely available on various platforms, both paid and free, however, the school requires an e-learning application private that can be managed and customized by the school and of course requires features according to the school's needs. To create an e-learning website that is user-friendly and has a high level of usability, a software development method is needed, one of which is the Lean UX method with good visual design. From the application of the Lean UX method, the success rate of the system e-learning from the student side is 92.30%, 100% teacher, and 100% admin. Based on the results of usability testing using the SUMI method, the median efficiency and helpfulness values are very high, namely 100. So that the e-learning system built can be said to be very efficient and can help the online teaching and learning process easier. Keywords: E-learning, Website, Lean UX, Software Usability Measurement Inventory (SUMI).
A Survey on Web Service Discovery Approaches

Service Oriented Architecture (SOA) is an approach to build distributed systems that deliver application functionality as services that are language and platform-independent. Web service is one of the fundamental technologies in implementing SOA based applications. Web services are modular, self-describing, self-contained and loosely coupled applications that can be published, located, and invoked across the web. As the number of web services is increased, finding a set of suitable web service candidates with regard to a user’s requirement becomes a challenge. Web service discovery is the process of finding the most suitable service by matching service descriptions against service requests. Various approaches for web service discovery have been proposed. In this paper, we present an overview of different approaches for web service discovery described in the literature and try to classify them into different categories. We also determine the advantages and disadvantages of each category. The goal is to help researchers to propose a new approach or to select the most appropriate existing approach for service discovery.