Reviewerly/exHarmony huggingface dataset:
Viewing, listening and reading along: Linguistic and multimodal constructions of viewer participation in the net series SKAM

This paper investigates how SKAM viewers are positioned as participants through semiotic resources in the net series, i.e. the filmic means for making meaning, including representations of the characters’ embodied and digitally mediated communication. For this purpose, we combine perspectives from linguistic-multimodality studies of modes for communication and studies building on Goff man’s (1981) work on participation frameworks, i.e. the various ways of participating in co-present and/or mediated communication.&#x0D; The article aims to complement existing media studies of immediacy in SKAM and viewers’ sense of co-presence with characters in the net series (Jerslev 2017, Sundet 2017). It does so by showing how participant frameworks are multimodally constructed at a fictional level and a communicational level. Within each of these frameworks, the viewer is positioned in distinct ways. We describe how the viewer is placed, i.e. physically positioned, in the interactional space of the depicted characters, and how the characters’ communicative means are interactionally organised, accomplished and made available for interpretation by the viewer. Furthermore, we show how characters monitor each other in the shared space of a schoolyard, how embodied and digitally mediated communicative features are foregrounded, and how the viewer is provided access to these resources in ways that reflect and create specific viewing positions in the communicative frames of the characters.&#x0D; We argue that these integrations of semiotic modes exploit affordances related to speech, writing and embodiment, that the positionings mainly work to create a sense of presence and identification for the viewer, and that representations of digitally mediated communication (writing) on the viewer’s screen specifically expose how the digitally mediated communication space of one of the characters is integrated with the digitally mediated viewing space.
Hashtag Marbled Monday: A Webometric Analysis of Academic Special Collections Outreach on Instagram

This study used webometric analysis to assess the most successful strategies for engaging Instagram users in academic special collections. Data were collected from five academic special collections Instagram accounts to analyze their activity during the month of April 2018. Data considered in the study include average number of likes per post, average number of hashtags per post, and most common hashtags and content. The results of this analysis may serve as a recommendation for best practices for academic special collections interested in, or already using Instagram as a platform, to engage students and other Instagram users in their collections.
Perceptions of Thai Aviation Students on Consumer Grade VR Flight Experiences

With extended reality (XR) technology on the rise in aviation education, we evaluated the perceptions of Thai students on an inexpensive and classroom-friendly virtual reality (VR) system and software combination, as an introduction to flying an aircraft. In addition to cost-effectiveness, consumer grade technology also provides greater portability than traditional full-flight simulators. Third year aeronautical engineering and commercial pilot undergraduate program international students were exposed to a brief VR experience using a PlayStation 4 console (PS4) with PlayStation VR (PSVR) and Ultrawings software. Subsequently, in-depth qualitative interviews were analyzed via thematic coding. The student responses were mostly positive and enthusiastic, but also identified issues with hardware and software (screen door effect, limited peripheral vision, less than optimal interaction controls, and lack of haptic feedback). Using thematic coding, responses were categorized into; head mounted device, controls and controllers, plausibility illusion, place illusion, embodiment illusion, academic value and entertainment value. Following respondents&rsquo; positive responses on certain identified critical points, we recommend further study using other hardware and software combinations.
RLWE-Based Zero-Knowledge Proofs for Linear and Multiplicative Relations

We present efficient Zero-Knowledge Proofs of Knowledge (ZKPoK) for linear and multiplicative relations among secret messages hidden as Ring Learning With Errors (RLWE) samples. Messages are polynomials in and our proposed protocols for a ZKPoK are based on the celebrated paper by Stern on identification schemes using coding problems (Crypto’93). Our 5-move protocol achieves a soundness error slightly above 1/2 and perfect Zero-Knowledge. As an application we present Zero-Knowledge Proofs of Knowledge of relations between committed messages. The resulting commitment scheme is perfectly binding with overwhelming probability over the choice of the public key, and computationally hiding under the RLWE assumption. Compared with previous Stern-based commitment scheme proofs we decrease computational complexity, improve the size of the parameters and reduce the soundness error of each round.
PERANCANGAN REPOSITORY DIGITAL STIKOM TUNAS BANGSA MENGGUNAKAN CODEIGNITER

This study aims to design a Codeigniter-Based New Repository. This software serves to simplify the process of designing the repository. This research also aims to facilitate students and the general public to access examples of student thesis at Stikom Tunas Bangsa Pematangsiantar. This research method is Research and Development. The development model used is Waterfall which consists of analysis, design, implementation, and testing. Based on the results of this study, it can be concluded that the results of software development are in the form of Codeigniter-Based Digital Repository.Keywords: Repository, Code igniter.
A Sentimental Analysis System for Film Review based on Deep Learning

The paper will be introduced as sentimental analysis system of film criticism based on deep learning. Which contains four main processing sections. Compared with other systems, our sentimental analysis system based on deep learning has plenty of advantages, including simple structure, high accuracy, and rapid encoding speed.
Gastric Section Detection Based on Decision Fusion of Convolutional Neural Networks

To provide accurate histological parameter assessment of each gastric section from endoscopic images, gastric sections need to be correctly identified in advance. In this paper, we propose a novel CNN based ensemble learning method to detect gastric sections from endoscopic images by fusing decisions of multiple convolutional neural network (CNN) models which provide initial decision probability of the endoscopic image. The decision probability is concatenated and classified by a decision fusion network to achieve effective and efficient gastric section detection. In the experiments, we compare the proposed method with state-of-the-art CNN and CNN based ensemble learning methods and conclude that the proposed method owns the best testing accuracy.
PENGARUH BANTUAN KARTU INDONESIA PINTAR (KIP) TERHADAP HARAPAN SEKOLAH DI PROVINSI JAWA TIMUR TAHUN 2017

This study aims to determine and analyze the effect of the Smart Indonesia Card assistance on school expectations in East Java Province. This research is a quantitative research with 2017 SUSENAS data with 496 consonations. The analysis technique used to prove and test the hypothesis proposed is logistic regression technique. The results of this study resulted in that the Smart Indonesia Card (KIP) had a significant and positive effect on school participation and school participation in the previous school year (2015/2016) in the East Java province. In addition, household characteristics, namely the level of education of the head of the household, also significantly and positively influenced school participation and school participation in the previous school year (2015/2016) in the East Java province. Job status variables of the head of the household have a significant and positive effect on school participation but have no significant effect on school participation in the previous school year (2015/2016).
Risk Assessment of Physical Security within a Technologized Knowledge Based Organization

The purpose of this scientific paper is to support the decisionmaking process on the risk management based on the results of an analysis and subsequently on the risks hierarchy. This assessment involves the comparison of the level of risk determined by the analysis with the risk criteria developed in the context of the establishment phase. This scientific paper on assessing and treating risks to physical security has been developed to identify, assess and quantify the associated risk in a technologizedknowledge-based organization. The basis of this study on the assessment and treatment of risks to physical security is to identify specific potential risks as well as the emergency response procedures. Effective risk assessment involves assessing the likelihood and impact of a risk-based event, and based on the determined values, determine the risk profile and treatment priorities. The determined risk level is assimilated to risk exposure.
ANALISA DAN IMPLEMENTASI ASSOCIATION RULE DENGAN ALGORITMA FP-GROWTH DALAM SELEKSI PEMBELIAN TANAH LIAT (STUDI KASUS DI PT. ANVEVE ISMI BERJAYA)

Data Mining aims to draw abstract knowledge of a big database.Data Mining also known as Knowledge Discovery Database. FP-Growth algorithm is one of the very popular algorithms in finding frequent itemset in finding the rule of a large data base. Association rule used to find patterns in market basket analysis. Steps in the process of association rule mining is confidence and support. Clay formed from the weathering of silica by carbonic acid and partly generated by geothermal activity. In this study using FP-Growth Algorithm in purchasing decisions withdrawal clay by PT. ISMI ANVEVE BERJAYA
Image Steganography using Combined Nearest and Farthest Neighbors Methods

Security is invariably a significant concern during communication.With the ease of communication, there is always a pending threat of intrusion.Steganography is one such way to achieve security by concealing confidential information within a more innocent looking media like image, audio, video etc.In this paper, a new technique is proposed that uses the relationship of a pixel with its Nearest Neighbor and Farthest Neighbor to hide secret information into that pixel.The cover image is divided into2x2 non-overlapping blocks.According to the vulnerability of the relationship among the pixels, blocks are labelled as Stable and Unstable.The Stable block hides 'k' secret while unstable block hides 'n' secret bits.25 types of different set of 'k' and 'n' is examined to evaluate the performance of proposed method.2k method is applied to improve the quality of stego image.The experimental result shows that the proposed technique hides a significant number of secret bits with high PSNR.While compared with other existing methods, the proposed method achieves a much higher visual quality than that of those methods.
Promoting Cultural Site by Improving English Language Ability: An English Specific Purpose for Tourism

&lt;p&gt;This research was carried out to improve English ability of young generations of Tapakrejo village in order to promote Punden cultural sites to be tourism destination. It is specialized in practicing communicative speaking skill as the implementation of ESP for tourism. This research included into Classroom Action Research which was conducted in two cycles. The subject of this research was 20 young people of Tapakrejo village, Blitar. The data were collected using observation checklist, interview guide, and test. The result showed that there is a significant improvement of English ability from the first cycle into second cycle. The criteria that have been used to test speaking ability were fluency, pronunciation, grammar, and vocabulary. The technique used in promoting Punden Cultural site is advertising technique through four steps: (1) drawing the tourism potential, (2) creating banners, posters, and slogans that contain the information about the Punden cultural site, (3) creating directions to reach the Punden cultural site, and (4) creating articles to be uploaded in the internet. Furthermore, the tourism potential of punden cultural site was also describe in this research.&lt;/p&gt;
PENERAPAN METODE K-MEDOIDS CLUSTERING PADA PENANGANAN KASUS DIARE DI INDONESIA

Diarrhea is a condition in which a person defecates in a runny or liquid form and occurs repeatedly. Diarrhea can cause the loss of large amounts of water and substances needed by the body. Diarrhea is one of the health problems in developing countries, especially in Indonesia both in urban and rural areas. Diarrhea morbidity rates around 200-400 occurrences among 1000 residents each year. Thus in Indonesia there can be around 60 million incidents each year, most (70-80%) of these sufferers are children under five years (BALITA). Some patients (1- 2%) will fall into dehydration and if not immediately helped 50-60% of them can die. This group experiences more than one incidence of diarrhea every year. K-Medoids Algorithm Clustering is one of the algorithms used for to group data.Keywords: Data Mining, K-Medoids, Clustering, Diarrhea
PENERAPAN DATA MINING UNTUK PENGELOMPOKAN PENDUDUK KURANG MAMPU DESA SAMBIREJO TIMUR DENGAN ALGORITMA K-MEDOIDS (STUDI KASUS KANTOR KEPALA DESA SAMBIREJO TIMUR)

The village of East Sambirejo became one of the successful pilots in village data management. Village data management is the basis in village development planning, so that it is right on target according to the village's potential and community needs. Data sources from the Office of the Village Head of East Sambirejo in 2018 show that the number of underprivileged people in the Village of East Sambirejo is relatively high, with a total population of approximately 25,936 people and approximately 7,000 households with a percentage of the underprivileged population reaching 12.5%. Based on this number, it can be seen that there are still many people in the village of East Sambirejo who are generally poor. Based on these conditions, it is necessary to build a clustering system or grouping data to assist the village government in grouping underprivileged populations so that assistance from the village government can be distributed appropriately. This study uses the K-Medoids method in clustering underprivileged populations.Keywords: Underprivileged Population, K-Medoids, Visual Basic Net 2008
A Summary Of Super-Resolution For Satellite Videos Via Learning-Based Methods

With the development of remote sensing techniques, remote sensing data can be obtained with higher spatial, higher spectral, and higher temporal resolution. In addition, to get higher spatial resolution, super-resolution for increasing spatial resolution is getting special attention. In this paper, we will focus on some classical learning-based superresolution methods to investigate the adaptability for satellite videos with low imaging quality. Methods include sparse representation, collaborative representation, and deep learning methods. Experiments show that learning-based methods can perform well for single-frame super-resolution for satellite videos. Methods based on deep learning show higher PSNR and SSIM. And multi-frame super-resolution will be good for moving objects. However, it may also bring negative influence for a stationary scene, which is caused by low satellite video quality, such as winkling noise, a vibration of a camera, overexposure of metals.
Modified spiht algorithm for quincunx wavelet image coding

&lt;span lang="EN-US"&gt;In this paper, an image compression method based on the Quincunx algorithm coupled with the modified SPIHT encoder (called SPIHT-Z) is presented. The SPIHT-Z encoder (coupled with quincunx transform) provides better compression results compared with two other algorithms: conventional wavelet and quincunx both coupled with the SPIHT encoder. The obtained results, using the algorithm that applies (Quincunx with SPIHT-Z) are evaluated by image quality evaluation parameters (PSNR, MSSIM, and VIF). The compression results on twenty test images showed that the proposed algorithm achieved better levels of the image evaluation parameters at low bit rates.&lt;/span&gt;
Educational Platform SOLL with the IoT

The Internet of Things (IoT) is a network composed of various objects and devices connected to the Internet, which emerge with great potential for education. Thus, in order to verify the potential of IoT in an interdisciplinary approach of the science curriculum in the 3rd Cycle of Basic Education emerges project SOLL: Intelligent Objects Linked to Learning, which is an interactive, dynamic and interdisciplinary learning platform, supported by a set of technologies that collect and store data from a greenhouse for later interdisciplinary analysis. In this article, the platform’s architecture is exposed and, from a mixed methodology - student questionnaires, teacher focus group interviews and continuous observation of participants recorded in the researcher’s diary - the data obtained show that this platform respond to the new learning community structure, by adopting a different learning model, with exploration of interests and enrichment of educational experiences.
Dimension Synthesis of a 3T2R Labelling Robot with Hybrid Mechanism

This paper proposes a novel 3T2R labelling robot with hybrid mechanism for the end-faces of round steels.The hybrid mechanism consists of a three degrees-of-freedom (DOFs) translation (3T) parallel mechanism and a two DOFs rotation (2R) mechanism.Based on the Jacobian matrix of the hybrid mechanism, the author analyzed the influence of each dimension parameter on three performance indices, namely, kinematics, transmission and stiffness of the mechanism, under the constraints of the workspace.Based on the Pareto frontier approach, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) was adopted to find the optimal values of the three performance indices, and identify the dimension parameters that bring the best overall performance of the whole mechanism.The research results shed new light on the design of light weight labelling robot.
IMPLEMENTASI WEBSITE PROMOSI DAN PENJUALAN PADA ASOSIASI PEDAGANG SEPATU DAN TAS KOTA PADANG

Association of Bag and Shoes Traders in Padang City has difficulties in the field of data processing for the purchase and sale of goods. Because the processing of this data still uses Microsoft Excel so that to find the necessary files need to be long and also is data redundancy on each file, then an information system is used to provide fast and accurate data.&#x0D; Research conducted directly using interview techniques, then by giving books, literature related to the problems discussed. After the data is collected, the data are grouped and analyzed using the Unified Modeling Language (UML). The results of the analysis are applied in a phpmysql-based data processing information system application program.&#x0D; By designing a new system, making reports related to sales information can be made quickly, precisely and can be solved with errors.
Promosi Perpustakaan Melalui Media Sosial Di Perpustakaan IAIN Salatiga

One of the five laws of the library is that a library is a growing organism. Library is not an institution in the "static" or "silent" condition, but the library will be follow and adjust the development of the times dynamically. The development of the library that is currently in the 21st century is definitely different from the development of the library in the 19th century, not only in terms of the development of this writing takes the theme of library promotion by looking directly at the role of the Salatiga IAIN library in carrying out various promotional activities. This writing of this article using the ethnographic approach in order to describe the culture of the library in terms of promotion. The conclusion of this article is promotion as one of the activities of library marketing (library marketing) and be come the key of the continued use of the library by its users. Likewise the existence of social media is not a competitor but rather a means for promotion that makes it easy for librarians to communicate with users. The Salatiga IAIN Library uses social media in the form of websites and youtube accounts as promotional media to communicate its services, activities and wealth of reference resources to users.
IRSNET: An Inception-Resnet Feature Reconstruction Model for Building Segmentation

Effective analysis of remote sensing images remains a challenging topic in deep learning research field. This paper proposes a semantic segmentation approach based on the inception architecture. Specifically, the combination of residual network and Inception improves the feature extraction capability of encoder network. In addition, this paper discusses the problem of unbalanced information allocation caused by concatenated operation in the up-sampling process of network models such as Unet, and the RCSE module is proposed to complete feature reconstruction to solve this problem. The approach ensures accurate assignment of semantic labels to the buildings in the aerial images. Experiments based on the dataset proposed by CrowdAi certify the effectiveness of our approach with a 3.7% IoU improvement compared to Unet.
Possible Applications Of Analytics Data In Online Courses

Information and communication technologies are fundamentally changing the sphere of education in modern society. Online education is evolving and offering new opportunities for students’ data analysis. At the same time, there is a certain barrier in the interaction of specialists of different professions engaged in data analysis in online learning. The purpose of this article is to reduce this barrier by giving a brief analysis of the main directions of development and the possibility of using data in online learning and showing what results could be expected from the presented methods now and in the near future. This study presents the priority areas of learning analytics such as tracking students at risk, analysis of the most effective options for the course (face to face, blended, online), analysis of the relationship of student success from the key characteristics of the course and the behavior of students, the improvement of students’ assessment. The article also discusses the options for using data on the behavior of students in an individual and generalized form.
Sistem Kendali dan Akuisisi Data Suhu Serta Kelembaban Ruang Budidaya Jamur Tiram (Pleurotus Ostreatus) Berbasis Internet Of Things (IOT)

This study aims to determine the performance of temperature and humidity control technology of the Internet of Things (IoT) automatic oyster mushroom cultivation space. The stages of device development consist of analysis, design, assembly and testing. The design developed combines hardware control, software, and cloud server. This tool consists of 3 main processes, namely input using DHT11 sensors, process and output, namely 220 V AC actuators. There are two tests namely technical and effectiveness. The test results that have been carried out are: (1) the performance test results obtained an average error of 1.44% and a mean humidity of 3.35%, so that it can be used properly in the process of oyster mushroom cultivation; (2) the actuator will turn on if the temperature is more than 28oC or the humidity is less than 70%. The results of the transmission and storage of hardware data to the software on the database function properly, testing the effectiveness which shows the tools developed are more effective 5 hours compared to the manual method, (3) The advantages of this tool are that it can work automatically with IoT technology, there is realtime data recording, and features that are easy to use, so that it can help farmers in the care of oyster mushrooms.