Reviewerly/exHarmony huggingface dataset:
DESAIN SISTEM WADAH PROMOSI INDUSTRI WISATA PROVINSI SULAWESI UTARA

Abstract North Sulawesi Province has experienced 600% growth in the tourism sector since 2015 and received The Rising Star award on April 25, 2019. Unfortunately, this tourism cake cannot be enjoyed by entrepreneurs in the tourism sector evenly, this is due, among other things, to the absence of promotion of tourism businesses. on a provincial scale that can be accessed by potential tourists and tourists themselves. This study aims to design a tourism business promotion on a provincial scale which is expected to be used as a reference for building a tourism information system as a forum for promoting the tourism industry in North Sulawesi. The design of the tourism information system uses the waterfall method, using several modeling tools including use case diagrams, and Entity relationalship diagrams, in addition to using interviews, observations for data collection. The results of this study are the design of a tourism information system as a forum for promoting the tourism business industry, which is expected to be used as a reference for the development of an information system which later in its implementation can be accessed by prospective tourists and tourists so that through the information system, tourism business actors can increase their income.
An Overview on E-Learning and Information Security Management

Abstract: We know that many e-learning institutions are rushing into adopting ICT without carefully planning and understanding any related security concerns. E-learning is a new method of learning which ultimately depends on the Internet in its execution. The Internet has become the venue for a new set of illegal activities, and the e-learning environment is now exposed to such threats. In this paper, e-learning context, definition, characteristics, development, growth, benefits and challenges are all elaborated upon. This paper discusses the security elements required to be implemented within e-learning environments. In addition, the paper explains the situation and existing research relating to security in e-learning. Furthermore, information security management is suggested to contribute to preparing a secured e-learning environment.
1st ISETA - International Seminar on Education, Technology, and Arts 2022

&#x0D; 1st International Seminar on Education, Technology and Arts.&#x0D; Theme: Tailoring Education for the Future of Work Post Covid-19&#x0D;
Student’s Perception Toward E-Learning During Covid-19 Pandemic of English Department of STKIP PGRI Banjarmasin Academic Year 2020/2021

ABSTRACT. Currently the condition of the world including Indonesia is facing the Corona Virus 19 pandemic that has hit the world since the beginning of 2020 causing a tremendous impact in all aspects of human life including from the education sector where learning is done through online or e-learning. In its implementation, online learning faces several obstacles which need to be considered and considered to pay attention to models, strategies, learning outcomes, the availability of facilities that support learning for both students and lecturers. This is the basis for research on student perceptions of the English language education study program STKIP PGRI Banjarmasin. The purpose of this study was to determine the perception of students of English education study program STKIP PGRI Banjarmasin towards online learning applied at STKIP PGRI Banjarmasin.This type of research is a qualitative descriptive by focusing on survey to know the student’s perception on the effect of online learning during covid-19 and describes students' perceptions of online learning or e-learning during the Covid-19 pandemic in the English Department of STKIP PGRI Banjarmasin academic year 2020/2021. Research data obtained from a questionnaire contains students' perceptions of online lectures which are divided into several indicators, namely accessibility, device ownership, ease of obtaining materials and doing assignments, understanding of teaching materials, learning methods, interactivity, independent learning and the environment. The results of the questionnaire were re-confirmed through interviews with several students and lecturers. The results of this study indicate that 71% of students agree with online lectures conducted by STKIP PGRI Banjarmasin and 29% of students do not agree with online lectures conducted by STKIP PGRI Banjarmasin. Students agree with the online learning system at SKIP PGRI Banjarmasin based on accessibility indicators (33%), device ownership (38%), monitoring ability (76%), ease of obtaining materials and doing assignments (67%), understanding of teaching materials (52%) , teaching methods (86%), interactivity (86%), independent learning (67%), environmental support (76%). In its implementation there are several obstacles, especially in terms of accessibility and ownership of the device which often has problems with internet access both in terms of quantity and quality.
DESIGN OF DECISION SUPPORT SYSTEM DAMAGE DIAGNOSIS OF HONDA BEAT MOTORCYCLE MATIC USING FORWARD CHAINING METHOD

An expert system is a system that seeks to adopt human knowledge to a computer that is designed to model problem solving abilities like an expert (Durkin, 1994). The three main components contained in any expert system are the knowledge base, the inference engine, and the user interface. Forward chaining is a strategy to predict or find a solution to a problem that starts with a set of known facts, then derives new facts based on rules whose premises match the known facts. This process is continued until the goal is reached or there are no more rules whose premise matches the known facts. The system maker application media uses PHP and MySQL as databases
ANALYSIS OF MULTI USER-BASED MULTI USER COOPERATIVE INFORMATION SYSTEM ANALYSIS WITH RND METHOD

In conducting research, using descriptive methods, where the sources and types of data used are quantitative data and qualitative data. The research design used by the author is a primary data research design and a secondary data research design. The data collection technique used is a field research technique which includes interviews and observations, while a library research technique includes data collection techniques by studying, reviewing and understanding existing data sources. in several books related to the research.&#x0D; In the presentation of the raw material inventory report still using manual recording using inventory cards and Microsoft Office Excel 2003 software, then the new information system will be used to create a system that includes making DFD, ERD, Normalization, context diagrams and physical design, namely output design and databases.&#x0D; From the results of the study, it can be concluded that the existing system in CV. Adi Sejahtera Bandung there are several weaknesses, the system for recording transactions in and out of raw materials that is run manually is still not efficient, the occurrence of errors and the slow sales process is due to the slowness in receiving information on goods at this company. The author suggests using a computerized raw material inventory information system to help management control inventory transactions by improving the information structure in reports and making standardized reports to make work efficient and effective.
Unmanned Grounded Vehicle

This is a design for unmanned autonomous ground vehicles (UGV).To identify barriers, identify lanes, recognize road signs, and identify other natural elements, it employs artificial intelligence (AI) image processing techniques.This is accomplished using a Raspberry Pi (RPi) board, which houses the code on an onboard computer.We recorded input videos of the environment using a Pi cam.Utilizing the camera is done so in order to utilizeR fewer different sensors (like ultrasonic, Radar, and Lidar).Lidar has a strong resolution but is ineffective at detecting moving things, whereas radar can identify moving obstacles but has a relatively poor resolution.Because of this, a high-resolution camera is adequate.
Broadband, Programmable Phototransistor using Black Phosphorus

Black phosphorus is promising for its electrostatic tunability of optical and electronic properties. We engineered a charge storage layer for non-volatile tuning of the BP-channel and demonstrated programmable electric-conductivities and photo-responsivities for optoelectronic in-memory computing.
Hyperspectral image classification via integrated metasystem

On silicon photonic platform, we demonstrate a spatial-spectral pattern classifier and a three-channel wavelength demultiplexer in few-layer metasystems.
Enhancing stimulated Raman excitation and two-photon absorption by entangled light

We find that stimulated Raman excitation of an atom by a two-photon pulse can be enhanced by orders of magnitude if the photons are simultaneously frequency correlated and spatially anti-correlated. That is correlated photon pair must have an inherent time delay between its constituent photons.
Language Identification Based on Residual Network and Attention Mechanism

Language identification process is necessary for the downstream tasks of cross lingual and multi-lingual application. This paper proposes a language recognition method based on ResNet-CA-BiGRU-Attention model. Firstly, the speech signal is converted into the corresponding spectrogram, and then the residual network is used for feature extraction according to the distribution of speech energy on the spectrogram. Coordinate Attention and Attention are used to highlight corelated features and suppress irrelevant features. In this paper, five languages are selected from the Common Voice data set. Experimental results show that the proposed language recognition method based on ResNet-CA-BiGRU-Attention model can effectively improve the performance of language recognition.
Dynamic Word Vector Based Sentiment Analysis for Microblog Short Text

Aiming at the disadvantage of static word vector model to the problem of polysemy of words, a model based on dynamic word vector and two-way GRU neural network combined with attention mechanism is proposed to recognize emotion of microblog short text comments, which is helpful to analyze and monitor social public opinions. First, the word vector is obtained through ERNIE pre-training model, and then transmitted to the bidirectional GRU neural network. Then, the keywords are weighted in combination with the Attention mechanism. Finally, the emotion is classified through the softmax layer. Experimental results show that the classification accuracy of the proposed model on the weibo_senti_100k data set is 96.51%.
Neuroepistemology as a Field of Cognitive Philosophy and Knowledge Studies

The article presents the results of an analysis of the concept of neuroepistemology, the history of its formation, the methods of determining its object and characteristics of possible methodological solutions. To achieve this aim, two specific objectives have been mapped out: to consider the evolution of the conception of neuroepistemology in the context of the history of science and philosophy; and to systematize the existing ideas about neuroepistemology, its object, methods and characteristics. The main result of the research is that, despite the forty-year history of neuroepistemological projects, this term is each time constructed anew. Different interpretations are not compared to each other, and the authors rarely refer to the history of the concept, continuing to fill it with new contradictory meanings. This conclusion follows from the examination of thematic publications on neuroepistemology in English, Russian, and mainly in German, due to the high number of references to neuroepistemology in German-language cognitive philosophy (E. Ozer, F. Seitelberger, K. Vogeley, M. Peschl). If we attribute the earliest attempts to synthesize philosophical and biological approaches to knowledge (F. Nietzsche, K. Lorenz, U. Maturana, F. Varela) to presuppositions of neuroepistemology and start with the mentions of the word “neuroepistemology”, we find three relevant interpretations of the concept. The first (probably presented by John Hughlings Jackson) treats neuroepistemology as a research of epistemic communities of producers of neuroscientific knowledge. The object of such research is epistemic culture (K.K. Cetina), and the research aims can be achieved by the methods of the philosophy of science, the sociology of knowledge, and epistemology. The second interpretation of neuroepistemology (P.S. Churchland) concerns the use of neuroscientific methodologies to address issues of knowledge. These studies are an attempt to answer the question of how a person knows, using all the possible tools of the brain studies (the research of concept cells is a relevant example). The third interpretation (E. Ozer) begins with the consistent naturalization of the theory of knowledge in the 1980s and insists on finding its own methods or, in extreme cases, on its own ways of integrating particular methods of neuroscience and epistemology. The article describes the principles and rules of such neuroepistemological reasoning, its features and methodological perspectives.
Geochemical rorms and risk assessment of some heavy metals in Aden coasts sediments, Yemen

The objective of the present study is to investigate risk assessment and geochemical forms of Pb, Mn, Zn and Cu in Aden Coasts sediments as well as the content of sediment texture, organic carbon, and carbonates. Sequential extraction technique was applied to estimate the metals in five different fractions; exchangeable, bound to carbonate, bound to oxides, bound to organic matter and residual. The results indicated that the metals bound to non-residual fraction (anthropogenic input) represent 72.8 % of the total extractable fractions for Pb, 79.7 % for Mn, 87.4 % for Zn, and 87.3 % for Cu. The five fractions of the metals in the present study could be arranged in the following sequence: Residual &gt; Exchangeable &gt; Oxide form &gt; Organic form &gt; Carbonate for Pb; Residual &gt; Oxides form &gt; Organic form &gt; Carbonate &gt; Exchangeable for Mn or Zn; Organic form &gt; Residual &gt; Oxide form &gt; Carbonate &gt; Exchangeable for Cu. The risk assessment of the metals showed medium risk for Pb at all sampling sites except Sira zone which revealed very high risk to aquatic environment. Fractionation pattern of Zn and Cu showed low risk, while Mn showed low (most sites) to medium risk (Sira and Caltex) to aquatic environment. In general, the risk assessment of the metals in the study area decreased as follows: Pb &gt;Mn&gt;Zn&gt; Cu.
New Search Method for Sbox-Related Impossible Differentials

The impossible differential attack is one of the most fundamental tools of cryptanalysis and has been successfully applied to a large variety of block ciphers. In a typical impossible differential attack, the foundation and first step is to construct an impossible differential. Nowadays, two kinds of most commonly used approaches in impossible differential construction are the matrix-based and tool-aided automatic search methods. In this paper, we proposed a new search method combining an early-abort strategy with the guess-and-determine technique to find longer impossible differentials. Compared with the previous matrix-based search methods, ours has taken the details of Sbox into consideration, while compared with the tool-aided methods, ours is independent of a third-party solver and is applicable to ciphers with large (≥8 bits) Sboxes, which could be tough work for tool-aided methods to cover. Therefore, more accurate results could be obtained. To prove the effectiveness of our method, it is applied to CSA and FOX64. For CSA, 23/24/25-round impossible differentials were found for CSA-BC. This improved the longest impossible differential distinguisher so far by 1/2/3 rounds. And 25-round key recovery attacks are performed against CSA-BC and CSA, which are the longest impossible differential attack by now. For FOX64, we proved that an impossible differential for its round function always implies an impossible differential for 4-round FOX64, and new types of impossible differentials were able to be found. Our method has its own advantage in dealing with large Sboxes, and it may be a possible direction to search for Sbox-related impossible differentials.
Portal E-Sertifikat dengan QR Code Menggunakan PHP dan MYSQL

The increasing globalization of integrated system communication technology makes the world seem to be borderless, especially with the increasingly widespread use of the internet (interconnection network). One of the most developed cyber activities related to the use of the internet is electronic business transactions, the definition of Electronic Transactions is legal acts carried out with using computers, computer networks and other electronic media. Meanwhile, an electronic system is a series of electronic devices and procedures that function to prepare, collect, process, analyze, store, display, announce, transmit and/or disseminate electronics. Currently, the need for information in activities to get certificates such as seminars, training, webinars and others is sought after by not only students but also the general public. This is due to the large number of companies that require a certificate of activity when applying for a job and graduation in Higher Education. In handling the process of processing data activities which includes member registration, activity planning, certificate printing to report printing until now is still running traditionally in the sense that certificate printing is carried out collectively so that data processing often occurs loss and damage to data on activities that have been carried out and the length of time for printing certificates, this is because certificate printing is carried out 1 (one) week after the activity is carried out.
Paragraph Shrinking Strategy for Teaching Reading Nursing Student

The goal of this study is to determine whether or not the paragraph-shrinking strategy significantly affected students' reading comprehension. This study used an experimental design with a posttest-only control group. The control class received treatment using the usual technique, while the experimental class received treatment using the paragraph shrinking strategy. This study used a multiple-choice reading test as its instrument. This instrument was valid because it was based on the syllabus and had subject validity that had been taught in the past. Because the writer had tested the instrument and divided the reliability in half, it was then reliable. After that, the writer utilized Gay's suggested t-test procedure to examine the data and determine whether the hypothesis was correct.
Analysis of Teaching Writing Strategies

The effective teaching strategy in writing class must be considered to get the best students’ writing. The aims of this research is to investigate the teachers’ teaching writing strategis in Writing class at English Language and Education Department of University of Pahlawan Tuanku Tambusai. This qualitative descriptive research used interviews in collecting data. This research uses a descriptive analysis which means that this study analyzes the strategy used by English teacher in teaching writing. The process of research involves emerging questions and procedures, data analysis inductively building from particulars to general themes, and the researcher making interpretations of the meaning of the data with a teacher as the subject of the research. This research used in-depth analytical techniques (in-depth analysis), which is reviewing the problem in case of cases. The result shows that the strategy used by the teacher, namely charts. Charts is a suitable strategy to use in teaching writing, because the strategy is designed as attractive as possible, simple, and effective so that students are interested in the material presented by the teacher. It can be used in teaching writing skill because Charts also provide a summary of the important points of the material in writing.
Building a Product Knowledge Base in the OneStop-Shop Way: a case study in a Multinational Technology Corporation

In this paper, we introduce the experience of building a Product Knowledge Base (PKB) in a Chinese multinational technology corporation to demonstrate how to organize technical information and manage product information for a better user experience. We firstly point out challenges in product information management such as information redundancy and information silos. Secondly, we share the experience of how to create, manage and optimize a PKB, and introduce four features that distinguish it in particular: “collection“, “fine granularity“, “dynamic“, and “intelligence“. Knowledge Graph, classified thesaurus, and subject thesaurus are utilized in organizing knowledge systems. We highlight the participation of knowledge sharing and knowledge realization in PKB operation and maintenance. The PKB has proven effective and efficient in practice, and the experience presented in this paper is generic and could be applied to other relevant domains.
Antiocclusion Visual Tracking Algorithm Combining Fully Convolutional Siamese Network and Correlation Filtering

Machine learning only uses single-channel grayscale features to model the target, and the filter solution process is relatively simple. When the target has a large change relative to the initial frame, the tracking effect is poor. When there is the same kind of target interference in the target search area, the tracking results will be poor. The tracking algorithm based on the fully convolutional Siamese network can solve these problems. By learning the similarity measurement function, the similarity between the template and the target search area is evaluated, and the target area is found according to the similarity. It adopts offline pre-training and does not update online for tracking, which has a faster tracking speed. According to this study, (1) considering the accuracy and speed, the target tracking algorithm based on correlation filtering performs well. A sample adaptive update model is introduced to eliminate unreliable samples, which effectively enhances the reliability of training samples. With simultaneous changes in illumination and scale, fast motion and in-plane rotation IPR can still be maintained. (2) Determined by calculating the Hessian matrix, in the Struck function, Bike3 parameter adjustment can achieve fast tracking, and Boat5 ensures that the system stability is maintained in the presence of interference factors. The position of the highest scoring point in the fine similarity score map of the same size as the search image is obtained by bicubic interpolation as the target position. (3) The parallax discontinuity caused by the object boundary cannot be directly processed as a smooth continuous parallax. The MeanShift vector obtained by calculating the target template feature and the feature to be searched can increase the accuracy by 53.1%, reduce the robustness by 31.8%, and reduce the error by 28.6% in the SiamVGG algorithm.
Monitoring for Microseismicity Induced by Goaf Collapse at Coal Mine

Summary We took a detection experiment for the microseismicity induced by goaf collapse (GC) in a coal mine across about 4 months, using our vector scanning (VS) for microseismic monitoring. Through the experiment we tried to understand: What are the magnitude range of the seismic events induced by GC? If most of them belong to the microseismic, what is the detection ability of our microseismic network on the surface at coal mine? Is it possible to monitor both microseismicities induced by tunnel roof stimulation and GC using VS at the same time? What are the space-time characteristics of the microseismicity induced by GC? Is it possible to predict possible disaster by microseismicity instead of waiting the small quakes, at that time the real disaster may have happened? etc.