Reviewerly/exHarmony huggingface dataset:
Pengenalan Aeromodelling Berbasis IT Untuk Menumbuhkan Jiwa Wirausaha Dan Prestasi Di SMK NU Tarub Tegal

The basic problem of SMK graduates is that most are still looking for work in companies, because the number of SMK graduates is not comparable to the employment opportunities in companies, so many are unemployed. Unemployment is open at the level of SMK graduates is still high. The results of an analysis of the economic potential of the open unemployment data in 2015 showed that over one third or 36.78% of vocational school graduates were still unemployed. Education and training for job seekers has not been maximally organized by the Tegal City Government to encourage them to become new entrepreneurs (WUB). There are still many vocational students who have difficulty getting into state universities because of lack of achievement. The government has provided a path of achievement, the selection process focuses on academic and non-academic achievements during high school / equivalent Seeing the above problems, the introduction of IT-based Aeromodelling to Grow Entrepreneurial Soul and Achievement, can increase student interest to switch his mind to try entrepreneurship and achievement. The introduction of IT-based Aeromodelling for Growing an Entrepreneurial Soul and Achievement turned out to be able to, increase students' interest in entrepreneurship and achievement in non-academic fields.
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction

Integrating extracted knowledge from the Web to knowledge graphs (KGs) can facilitate tasks like question answering.We study relation integration that aims to align free-text relations in subject-relation-object extractions to relations in a target KG.To address the challenge that free-text relations are ambiguous, previous methods exploit neighbor entities and relations for additional context.However, the predictions are made independently, which can be mutually inconsistent.We propose a two-stage Collective Relation Integration (CoRI) model, where the first stage independently makes candidate predictions, and the second stage employs a collective model that accesses all candidate predictions to make globally coherent predictions.We further improve the collective model with augmented data from the portion of the target KG that is otherwise unused.Experiment results on two datasets show that CoRI can significantly outperform the baselines, improving AUC from .677 to .748 and from .716 to .780,respectively.
Media-Player Controlling by Hand Gestures

In this Project we try to control our media player using hand gestures with the help of OpenCV and Python. Computer applications require interaction between human and computer. This interaction needs to be unrestricted and it has made it challenging to traditional input devices such as keyboard, mouse, pen etc. Hand gesture is an important component of body languages in linguistics. Human computer interaction becomes easy with the use of the hand as a device. Use of hand gestures to operate machines would make interaction interesting. Gesture recognition has gained a lot of importance. Hand gestures are used to control various applications like windows media player, robot control, gaming etc. Use of gesture makes interaction easy, convenient and does not require any extra device. Vision and audio recognition can be used together. But audio commands may not work in noisy environments.
Prevention of Clone Attack in Online Social Media Integrating Secure Data Transmission

Social networking is becoming so essential nowadays and is playing a bigger role in every man’s life for sharing information and knowledge. Also social network is used to see the everyday activities, photos, videos, political agendas and propagandas. Therefore, it is now becoming an important tool to stay updated in this dynamic world. With large chunks of data being generated every second, there is a growing concern about Data protection and user privacy in the Social media network. One of the major concerns being, ‘Fake Users’ - misusing the authorized user’s information like photos and videos without the authorized user’s permission and disguising oneself as a legitimate user. In our contemporary world, many fake profiles are being created for fraudulent activities like money making, malware / virus / Trojan distribution to use user data, especially with malicious intent. In this paper Java static watermarking is proposed. Java static watermark is used in our social media website in order to associate each user's footprint with respect to their unique ID, eliminating the crux of fake users. It is also very evident to say that data present on the cloud is no less prone to cyber-attacks. In this paper, integration of steganography methods for protection of sensitive data on the public cloud server is also proposed to validate its viability and its increased security. The Algorithms used ensure the individual information is kept secret and transmitted in a secure manner with user privacy preserving.
The Manto-Type Copper Mineralization in the Eocene Volcano-Sedimentary Sequences, Western Alborz-Azarbayjan Belt, NW Iran

Aspects in Mining & Mineral Science The Manto-Type Copper Mineralization in the Eocene Volcano-Sedimentary Sequences, Western Alborz-Azarbayjan Belt, NW Iran Ghasem Nabatian* Department of Geology, Faculty of Sciences, Iran *Corresponding author: Ghasem Nabatian, Department of Geology, Faculty of Sciences, University of Zanjan, Zanjan, Iran Submission: April 05, 2021;Published: June 02, 2021 DOI: 10.31031/AMMS.2021.06.000647 ISSN 2578-0255Volume6 Issue5
Adaptive Streaming Server dengan FFMPEG dan Golang

Quality of experience (QoE) when accessing video streaming becomes a challenge in varieties of network bandwidth/speed. Adaptive streaming becomes an answer to gain good QoE. An architecture system of the adaptive streaming server with Dynamic Adaptive Streaming over HTTP (DASH) was proposed. The system was consists of two services e.g transcoding and streaming. Transcoding service encodes an audio file, multi-bitrates video files, and manifest.mpd files. Streaming service serves client streaming requests that appropriate to client network profiles. The system is built using the Golang programming environment and FFMPEG. Transcoding service has some execution mode (serial and concurrent) and passing mode (1 pass and 2 passes). The transcoding service test results show that concurrent execution is faster 11,5% than the serial execution and transcoding using 1 pass is faster 46,95% than 2 passes but the bitrate of output video lower than the determinate bitrate parameter. The streaming service has a good QoE. In the 5 scenarios, buffer level=0 happens 5 times, and its total duration is 64 seconds. Buffer level=0 happens when extreme changes happen in network speed from fast to too slow.&#x0D;
FORMULATION OF THE DECISION-MAKING PROBLEM FOR MANAGEMENT OF MOBILE AIR QUALITY MONITORING STATIONS

The problems of air pollution and air quality monitoring are considered. The study is aimed at substantiating the method of forming a plan for observing atmospheric air pollution using mobile laboratories. A feature of the proposed method is the use of a decision support system for the rational arrangement and operation of laboratories. combined sanitary and hygienic criterion selected to assess of pollution is calculated. The quantitative characteristics of land plots for different urban planning zones are estimated. The implementation of the decision-making problem using the network analysis method is considered. In the course of the study, the parameters of the urban and natural environments that affect the assessment of the atmospheric air quality were studied, a network structure of the mutual influence of these parameters was formed.
Penguasaan Bentuk Kalimat Perfekt

Abstract. The purpose of this study was to obtain data on mastery in making perfect sentences for class XII IIS students of SMA Negeri 11 Makassar. This research is quantitative descriptive. The population of this study was the 106 students of class XII IIS SMA Negeri 11 Makassar. The sample of this study used a random sampling technique, namely the 36 students of class XII IIS 1 SMA Negeri 11 Makassar. The results of data analysis using the percentage technique. The results of this study indicate that the level of mastery of the perfect sentence form of class XII IIS SMA Negeri 11 Makassar is 67% enough.
Framework Switching of Speaker Overlap Detection System

In this paper, we introduce a speaker overlap system and look at the process of converting the existed system on the specific framework of artificial intelligence.Speaker overlap is when two or more speakers speak at the same time during a conversation, and can lead to performance degradation in the fields of speech recognition or speaker recognition, and a lot of research is being conducted because it can prevent performance degradation.Recently, as application of artificial intelligence is increasing, there is a demand for switching between artificial intelligence frameworks.However, when switching frameworks, performance degradation is observed due to the unique characteristics of each framework, making it difficult to switch frameworks.In this paper, the process of converting the speaker overlap detection system based on the Keras framework to the pytorch-based system is explained and considers components.As a result of the framework switching, the pytorch-based system showed better performance than the existing Keras-based speaker overlap detection system, so it can be said that it is valuable as a fundamental study on systematic framework conversion.
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event

We propose an effective context-sensitive neural model for the task of time to event (TTE) prediction, which aims to predict the amount of time to/from the occurrence of given events in streaming content.We investigate this problem in the context of a multi-task learning framework, which we enrich with time difference embeddings.To conduct this research, we develop a multi-genre dataset of English events about soccer competitions and academy awards ceremonies, as well as their relevant tweets obtained from Twitter.Our model is 1.4 and 3.3 hours more accurate than the current state-of-the-art model in estimating TTE on English and Dutch tweets respectively.We examine different aspects of our model to illustrate its source of improvement.
Model Pembelajaran Tipe Complete Sentence Dalam Penguasaan Kosakata Bahasa Jerman

Abstract. The aim of this research is to examine the effectives cooperative learning model type complete sentence in mastering German vocabulary of students XI class at SMA Negeri 14 Gowa. This research is Quasi-experimental reasearch. The data was collected by reading comprehension test and was analyzed by using t-test. Population of this research was 306 students from 9 class. Sampel was selected by using simple random sampling where XI IPA 4 class with 36 students as experimental class and XI IPA 5 class with 35 students as control class. The result showed t-count is higher that t-table (t-count4,87 &gt; t-table 1,997) with alpha significant level 0,05. It revealed that cooperative learning model type complete sentence is effective in mastering German vocabulary of XI students at SMA 14 Gowa.
Production an external cladding units using Rubber mold and polyester

The works of the cladding are considered heritage works. Ancient civilizations were characterized by the decoration of the buildings with a variety of natural materials, especially palaces and houses of worship. All types of cladding like tiles & Panels or decorative units are used to decorate architectural facades by using natural and industrial raw materials, whether in the whole building or parts thereof. Modern technologies, equipment, materials and technologies have enabled the development of the artificial materials. Among these technologies is the manufacture of rubber molds. This industry offers many economic and industrial advantages that can be utilized in the production of cladding units. The manufacture of molds depends on the manufacture of the mold and the extraction of the formulations through the material inside it. Silicone rubber is one of the best raw materials used in the manufacture of molds. The substrates are made of polyester reinforced with fiber glass, and other industrial features offered by this technique can give effects similar to the appearance of natural materials such as stones, marble and the effects of various metals. The process of production depends on many materials and tools through successive stages to reach the final product and follow some instructions when dealing with the materials used, so as not to be subjected to the product of many manufacturing defects, which may appear during the stages of manufacturing, which are done manually. The quality of the production is depending on the craftsmanship, experience and aesthetics of these industries.
The Efficient Distance Weighted Case Base Rule (DW-CBR) for Early Childhood Diseases Diagnosis

Children from newborns to six years old are more susceptible to diseases. A common methodology to diagnose childhood diseases is by using a reasoning technique. Reasoning techniques is one of a reliable method for expert systems. Reasoning techniques using the correct case of results have provided enormous support for predicting the diagnosis and treatment of diseases. This paper focuses on the main technical characteristics of two common reasoning techniques, namely; rule-based reasoning and case-based reasoning. This paper describes a comparative analysis of rule-based and case-based reasoning techniques using several commonly used similarity measures and a study on its performance for classification tasks. Moreover, this study proposes a new case-based reasoning approach using an alternative similarity measure, called Distance-Weighted Case Base Reasoning (DW-CBR). The proposed method aims to improve classification performance. The main result of this study shows that case-based reasoning is a more powerful methodology regarding the issues of maintenance and knowledge representations over the rule-based system and reveals that DWCBR has the best accuracy, which is 92%.
Photo Studio Booking Information System (Case Study: Reflection Photography Yogyakarta)

There is no system used for booking a photo studio, making it quite difficult for customers to book a photo studio at Reflection Photography Yogyakarta. To book the photo studio, clients have to come in person, through WhatsApp chat, or by phone call. However, the studio is often slow in replying to WhatsApp chats from customers. Additionally, the recording of ordering data is still done manually using paper and transaction reports made using Microsoft Excel. The purpose of this research is to develop an information system to overcome these problems. The system built is web-based and uses the prototyping method. This system was tested by two tests, black-box and usability testing. For black-box test results, all the features tested show conformity as expected. As for the usability test results, all tested technical aspects showed 94.29% that the system considered as easy to use by users.
SELF EFFICACY TINGGI MENINGKATKAN SELF REGULATION LEARNING PADA MAHASISWA KEPERAWATAN UNIVERSITAS TRIBHUWANA TUNGGADEWI

Online lectures are one way to carry out the teaching and learning process during the Covid-19 period. This online learning process makes students have to have high self-efficacy in order to succeed in learning with the online/online method. Self-regulated learning is certainly needed where students have to monitor themselves both in terms of thoughts, feelings and behavior. The purpose of the study was to determine the relationship between self-efficacy and self-regulated learning in nursing students at Tribhuwana Tunggadewi University, Malang. The design used is analytic observation with a cross sectional approach. The research was conducted in January 2021. The instrument was a modified questionnaire, namely Self Efficacy with General Self Efficacy Scale (GSE) and Self Regulated Learning with Online Self Regulated Learning Questionnaire (OSLQ). The sampling technique was purposive sampling with 73 students as respondents. The results of data analysis were carried out using the sperman-rank test and there was a significant relationship between self-efficacy and Self-Regulated Learning for semester 1 students at Fikes University Tribhuwana Tunggadewi Malang 2021 with p = 0.000 (p 0.05) and r = 0.411. During online lectures, nursing students are expected to improve self-regulated learning by developing self-efficacy by implementing time management during online lectures, making independent learning plans and being active in searching for sources or literature to facilitate understanding of online lectures.
Perancangan Aplikasi Pendataan Pelanggan pada Perusahaan PT. Indomobil Trada Nasional

PT Indomobil Sukses International Tbk. (The Company) is the main company of the automotive group of companies. This company has many well-known automotive subsidiaries in Indonesia. This automotive company attaches great importance to products to meet customer needs and satisfaction. Guaranteed quality standards are the company's principle by supporting after-sales service in the 3S network (Sales, Service, and Spare parts) that already exist throughout Indonesia. The target of this company's business process must optimize customer data so that the company's target is not difficult to achieve in order to compete with other companies that have used computerized systems. Based on the description, the theme of research on designing customer data collection applications at PT. Indomobil Trada Nasional.
PENGARUH METODE SURVEY, QUESTION, READ, RECITE AND REVIEW (SQ3R) TERHADAP HASIL BELAJAR SISWA

The problem in this study is that there are still many TKJ class X students at Padangsidimpuan Vocational High School 3 who receive a learning value below the minimum criteria standard in Computer Systems subjects. This study discusses the effect of the Survey, Question, Read, Recite and Review (SQ3R) method on the learning outcomes of TKJ students in class X on Computer Systems lessons at SMK 3 Padangsidimpuan. This research was conducted with the aim to determine the differences in learning outcomes of class X students in Computer Systems subjects after learning using the SQ3R method in learning. The research was an experimental study, with sampling using Purposive Sampling techniques so that the experimental group was class X TKJ 1 by applying the SQ3R method and the control group was class X TKJ 2 using the Problem Based Learning (PBL) method. Where testing of instruments is done in class XI TKJ who have studied Computer System subjects. Based on the results of the study, the average price obtained by the experimental class is 78.94 while the average price obtained by the control class is 75.97. The results of hypothesis calculations with a significant degree of 0.05 obtained by tcount (2.285)&gt; t table (1,669). Then it was concluded that zero (H0) was rejected, while the alternative guess (Ha) was accepted. Judging from the percentage calculation of the learning outcomes of the experimental class and the control class, there is an effect of using the SQ3R method with a percentage of 3.91%, which means the value of student learning with the application of the SQ3R method is better in this study.Keywords: Survey Method, Question, Read, Recite and Review (SQ3R), learning outcomes
Eksplorasi Material Alternatif dalam Pembuatan Puppet dan Set untuk Produksi Animasi Stop-Motion Berjudul “Junk Food”

Traditional stop-motion animated films have unique visual characteristics so that they have many fans, but the number of stop-motion filmmakers is actually very minimal. This is understandable because compared to other animation techniques that are done digitally, stop-motion seems impractical because it requires longer time, higher production costs, and more tools and materials. This paper discusses the exploration and utilization of alternative materials from well-known conventional materials in making puppets and sets for stop-motion animation. The alternative materials in question will use used goods, household inorganic waste, and other reusable materials while still paying attention to function and aesthetics so as to contribute to waste recycling. This is in line with the theme of the film “Junk Food” which raises the issue of environmental pollution, where the results of this research will be applied. This qualitative research is project-based and uses literature study, observation, and experiment methods to collect data. The results of this research are up to the stage of making 2 puppets and 2 sets to answer the problem of exploring alternative materials from used goods.&#x0D; Keywords: stop-motion animation, puppet, set, alternative materials
RFID AND VIRTUAL REALITY TEST SETUP FOR VISUALLY IMPAIRED ASSISTIVE TECHNOLOGY

Visual impairments often pose serious restrictions on a visually impaired person and there is a considerable number of persons, especially among aging population, which depend on assistive technology to sustain their quality of life. Development and testing of assistive technology for visually impaired requires gathering information and conducting studies on both healthy and visually impaired individuals in a controlled environment. We propose test setup for visually impaired persons by creating RFID based assistive environment – Visual Impairment Friendly RFID Room. The test setup can be used to evaluate RFID object localization and its use by visually impaired persons. To certain extent every impairment has individual characteristics as different individuals may better respond to different subsets of visual information. We use virtual reality prototype to both simulate visual impairment and map full visual information to the subset that visually impaired person can perceive. Time-domain color mapping real-time image processing is used to evaluate the virtual reality prototype targeting color vision deficiency.
A Pipeline for Manual Annotations of Risk Factor Mentions in the COVID-19 Open Research Dataset

We here demonstrate how a set of tools that are being maintained and further developed within the Språkbanken Sam and SWE-CLARIN infrastructures can be employed for creating manually labelled training data in a low-resource setting.As example text, we used the "COVID-19 Open Research Dataset", and created manually annotated training data for its associated Kaggle task, "What do we know about COVID-19 risk factors?".We first used our topic modelling tool to i) select a text set for manual annotation, ii) classify the texts into preliminary classification categories, and iii) analyse the texts in search for potential refinements of the annotation categories.We then annotated the text set on a more granular level by labelling the token sequences that indicated the existence of the refined categories in the text.Finally, we used the granularly annotated text set as a seed set, and applied our active learning tool for actively selecting additional texts for annotation.For the token-sequence annotations, we used our text annotation tool, which includes support for incorporating automatic pre-annotations.