Reviewerly/exHarmony huggingface dataset:
Improving Transformer based Neural Machine Translation with Source-side Morpho-linguistic Features

In this paper, we aim to build and train the extremely popular transformer neural network architectures for carrying out neural machine translation under low resource conditions for a diverse pair of languages. Additionally, we propose to improve the translation predictions in each of these cases by augmenting the source data with a novel linguistically driven morpheme segmentation method as well as additional linguistic features. The experiments were carried out using Kannada as a source language and Telugu, Hindi and English as target languages. These pairs were chosen to reflect diversity in morphological complexity and language similarity, ranging from most similar to the least similar. The evaluations have been done using standard BLEU score metrics.
Implementasi Model Problem Based Learning untuk Meningkatkan Keterampilan Berkomunikasi Lisan dan Hasil Belajar Plantae

The purpose of this research was to know effect of Problem Based Learning to Improving Oral Cummunication skill and Student’s Cognitive Result in Grade X SMA Negeri 1 Purbolinggo in Plantae topic. The method for this research was a pretest-posttest design, using a purposive sampling technique, with a total sample of 72 students and analyzed by t-test. The research results showed that oral communication skill for experiment group is 82,05 (very good) and for control group is 69,72 (good). Student’s cognitive result for N-Gain experiment group is 0,50 (moderate) and for control group is 0,30 (low) with Sig. (2-tailed) t-count &lt; 0,05. Therefore, Improving Oral Cummunication skill and Student’s Cognitive Result in Grade X SMA Negeri 1 Purbolinggo with Problem Based Learning in Plantae topic is significantly.
Comparative Study of Organic Parameters of Soils from Three Selected Universities in Port Harcourt Metropolis, Nigeria

This research study was based on the comparative analysis of hydrocarbon content of soil samples from the 3-selected university campuses of Uniport, RSU and IAUE. Samples were collected from three different points to establish the composite samples within spaces of 500m apart as to obtain representative samples. The parameters for the determination of the hydrocarbon content were measured using the following methods, THC (ASTM D3921), PAHs (USEPA 8270D), TOG (ASTM D3921), TOC (Walkely-Black) and TOM (Walkely-Black). The hydrocarbon content analysis was done using THC (mg/kg), PAHs, TOG, TOC and TOM. The mean results of THC in soils of Uniport, RSU and IAUE were 6139± 146, 6075± 191, 6823± 337; PAHs were 16.36± 0.14, 16.43 ± 0.09 and 16.88± 0.23; for TOG were 10777±6.36, 10689±55.86, and 10839±50.20; for TOC (%) were 5.11±0.50, 4.75±0.25, and 3.33±0.76, whereas TOM recorded 8.81±0.86, 8.18±0.42 and 5.78± 1.28 respectively. The analysis of variance (ANOVA) showed that there was no significant difference in the soil hydrocarbon content for Uniport, RSU and IAUE mostly due to the similar soil structure, texture and geology but most importantly similar kinds of activities on campuses (p&lt;0.05). These results are prompt indications of hydrocarbon pollution and hence adequate monitoring and control of deleterious anthropogenic inputs be put in place to sustain the already degraded soil.
STRUKTUR, DIKSI, DAN KONJUNGSI TEKS PROSEDUR KARYA SISWA KELAS VII SMP NEGERI 1 KOTA SOLOK

ABSTRACT The research aims to describe generic structure and language features of procedure texts by seventh grade students in SMP Negeri 1 Kota Solok. The method that is used is descriptive qualitative method. The data of the research are procedure texts collected in many sources such as the documents of 32 text procedure written by the students. The instrument of this research is the researcher her self. Data were analyzed by describing, analyzing, and discussing the data toward the theory. Based on the results of the study, there are two things that can be concluded. First, the seventh grade students in SMP Negeri 1 Kota Solok have used the five generic structure of procedure text in writing. The generic structures of of procedure text are title, purpose, tool or meterial, and closing. It is proven by 32 procedure texts that have been analyzed, there are all texts have titles, tools, and materials, as well working steps, only 8 texts that have a purpose. Students have not been able to write a good closing in making the procedure text. This is evident from 32 texts analyzed only 6 texts that have a cover. Second, in terms of language. The happiness analyzed is three, namely diction, conjunction, and imperative sentences. Of the 32 research data found 4,099 the number of diction consisting of 3,949 standard diction and 150 diction which are not standard. From 32 research data found 436 number of conjunctions consisting of 420 uses of precision conjunctions and 16 improper conjunctions. Kata Kunci: Struktur Teks, Diksi Teks, Konjungsi Teks
THE USE OF TRIZ (TIPS) METHODS FOR THE PERCEPTION OF THE MODERN VISUAL ART

The purpose of this investigation is the search and development of the methodological tools for the use of the Theory of Inventive Problem Solving (TRIZ/TIPS) for a deep and conscious perception of the modern visual arts by future artists and by professional painters in general. Methodology. The theoretical fundamentals of the research became the works of the researchers in the field of social-humanitarian sciences: culturology, art history, philosophy, semiotics. One can refer to the methodological basics the use of systemic, structural-semiotic and post-structural approaches. Results. In the process of the research, the differentiation, systematization and classification of methods of shaping in visual arts by adapting TRIZ methods was realized. The visual information for every TRIZ method was collected. As an example, we suggested a research abstract for the «Mediator» method, including a selection and the interpretation of the images, the analysis of method’s functions and their peculiarities, their specifics and resource possibilities. Scientific novelty. The scientific novelty consists in the fact that the authors have investigated the artistic works on the basis of adapted TRIZ methods, identified the variants of use of these methods and their functional meaning. Practical significance. The practical significance of the research consists in a deep analysis of semantic and esthetic components of the works of art, which can promote the enhancement of the artistic communication effectiveness and higher realization of the artists.
Removing Speckle Noise in Synthetic Aperture Radar Images using Combined Intensity Coherence Vector &amp; Hybrid Filtering

Noise will be unavoidable in image securing practice and denoising is a fundamental advance to recoup the image quality. The image of Synthetic Aperture Radar (SAR) is intrinsically misrepresented in dot noise that happens because of coherent nature of the dispersing wonders. Denoising SAR images target eliminating dot while safeguarding image highlights, for example, surface, edges, and point targets. The blend of nonlocal gathering and changed area filtering has coordinated the cutting edge denoising methods. Notwithstanding, this methodology makes an intense suspicion that image fix itself gives a brilliant guess on the genuine boundary, which prompts predisposition issue transcendently under genuine dot noise. Another impediment is that the for the most part utilized fix pre-determination techniques can't productively avoid the exceptions and harm the edges. The SAR image is infused with spot noise, and afterward edge based marker controlled watershed division is applied to recognize the homogeneous locales in SAR image. For every locale, the local pixels are distinguished by utilizing Intensity Coherence Vector (ICV) and are denoised autonomously by utilizing a half and half filtering, which contains the improved forms of ice, middle and mean channel. The exploratory outcomes show that the proposed strategy outflanks different techniques, for example, fix based filtering, non-nearby methods, wavelets and old style dot channels in wording higher wavelets signal-to-noise and edge conservation proportions relatively.
MOBILE ASSISTED LANGUAGE LEARNING FOR DEVELOPING CRITICAL READING SKILLS OF EFL UNIVERSITY STUDENTS

The current study has investigated the effect of a mobile-assisted language learning (MALL) program on EFL students' critical reading skills.The study followed a quasi-experimental one-group design.The study participants were 40 third-year EFL majors at the Faculty of Education, Suez University during the second semester of 2017/2018.A pre/posttest was prepared by the researcher to measure participants' critical reading skills.At the beginning of the experiment, the participants were pretested.After the administration of the experiment for three months, the participants were post-tested.A paired samples t-test revealed that a statistically significant difference existed between the mean score of the pretest and that of the posttest (t=14.807,p<0.05) in favor of the posttest.This result indicated that the treatment program had a good impact on developing EFL critical reading skills of the study participants.It was concluded that mobile learning had a significant effect on third-year EFL majors' critical reading skills.The study, therefore, recommends mobile learning to be incorporated in EFL college reading courses.
The Study of Quality of the River Pandayangan in His Review of the Factors of Physical-Chemical

The river is one of the forms of the aquatic ecosystem is open, which is also prone to the existence of a pollution.Pollution that occurs in a river is usually caused by environmental conditions and human activities around the river.The river water Pandayangan is one of the rivers that are widely used by the local community for a variety of activities, namely as a tourist attraction, bathing, washing, and others. This research is a descriptive research that aims to determine the water quality of the river in physics and chemistry of the location of the research based on the raw water quality. Research conducted at three locations and sampling the water for the third observation stations do the measurement of physical parameters such as Temperature, Color, and Turbidity while the chemical parameters include pH, BOD, Ammonia, Nitrite, Organic Number, Alkaliniti and Asiditi. Based on the results of testing the physical and chemical parameters then be concluded that the water quality of the river Pandayangan still meet the quality standards of water quality class B or raw water.
Development of intelligent process control system for image segmentation

The classification and description of the tasks solved using computer vision technologies are given. The use of neural networks to create systems for selecting objects in an image stream is considered in more detail. It also explains what is meant by training a neural network and discusses in detail the main stages of machine learning. The features of the application of convolutional neural networks for the segmentation of image objects, i.e., the selection of objects in the image, are indicated. The choice of the neural network architecture has been made, which has the property of extracting basic information from the image. The characteristics of the segmentation problem and the basic principles of computer vision are given. Conclusions are given on the possible application of the developed neural network model for solving various applied problems.
DIKSI DALAM TEKS BERITA SISWA KELAS VIII SMP NEGERI 6 PARIAMAN

ABSTRACT The purpose of this study were. (1)to describe the accuracy of diction in the news text of class VIII students of SMP Negeri 6 Pariaman. (2)to describe the precision of diction in the news text of class VIII students of SMP Negeri 6 Pariaman. This type of research is qualitative research with descriptive methods. This research was conducted at Pariaman State Middle School 6. The data of this study are qualitative data in the form of news text diction. The source of this research data is text news writing for class VIII students of SMP Negeri 6 Pariaman. The instrument of this research is the researchers themselves. The technique of collecting data is through documentation studies. The technique of validating the data in this study is the cross-check technique. The data are analyzed by steps, namely (1) the researcher identifies the diction contained in the news text, (2) analyzes the text based on the aspects studied, (3) analyzes the data based on the exact and accurate inaccuracies, and (4) makes conclusion. Kata kunci: Diksi, Ketepatan, Kecermatan, Teks Berita
Pemetaan Sekolah MDTA Islamiyah Berbasis Web Di Kabupaten Asahan

Abstract: MDTA's school mapping geographic information system is built on a web basis, and can be accessed accurately and effectively anywhere and anytime as long0as the useriis connected toithe internet. The making of this system uses xampp software as0localhostiand sublime toicreate aiwebsite design by codingiprocess. Googleimaps as anionlineimap showing the locations of MDTA schools in Asahan District. The final result of this research is in the form of a web-based MDTA Islamiyah school mapping application in Asahan District that can be accessed by the community online, and can make itieasier for theicommunity toifind school locations, especially parents to register their children at the MDTA school. Keywords:Mapping, Islamic MDTA School, WebGIS Abstrak: Sistem informasi geografisipemetaan sekolah MDTA dibangunidengan berbasisiweb, dan dapatidi akses secaraitepat dan efektifidimanapun dan kapanpun selamaipengguna terkoneksiidenganiinternet. Pembuatan sistem ini memanfaatkanisoftware xamppisebagai localhostidan sublime untuk membuatidesain websiteisecara prosesicoding. Googleimaps sebagai petaionline yangimenampilkan lokasiisekolah MDTA yang berada di Kabupaten Asahan. Hasil akhir penelitian ini berupa aplikasi pemetaan sekolah MDTA islamiyah berbasis web di Kabupaten Asahan yang dapat diakses oleh masyarakat secara online, dan dapat memudahkan masyarakat dalam mencari lokasi sekolah, khususnya orang tua untuk mendaftarkan anaknya ke sekolah MDTA. Kata Kunci:Pemetaan, Sekolah MDTA Islamiyah, WebGIS
Enhancement of a Business Model with a Business Contextual Risk Model

In this paper, we propose an approach of security risk-driven contextual model for software systems development. The approach is model-driven using enterprise business architecture as the basis for the contextual models definition, associating security risk concerns. Enterprise Architecture (EA) enables the description of an organisation’s structure, its business and its underlying Information System. By using a Model-Driven Engineering (MDE) approach such as Model-Driven Architecture (MDA), we dene an architecture for models, and we provide a set of guidelines for structuring specications expressed as (EA) contextual models. Then these models are enhanced to integrate security aspects in the overall development process. The proposal aims to analyse enterprise security from a business-oriented view and define security requirements inherited by the lower architectures, particularly IS architecture. The approach provides a meta-model of business contextual risk with a security management process, consisting on a systematic method, guiding to risk modelling and risk treatment strategies.
Knowledge Management and Organizational Performance of Nepalese Commercial Banks

This paper attempts to examine the effects of knowledge management on organizational performance of Nepalese commercial banks. Data are collected through structured questionnaire from 300 respondent of Kathmandu valley. Descriptive and casual comparative research designs are used to achieve the objectives and descriptive statistics as well as multiple regression models have been used to analyze the data. It is observed that organizational performance will be better provided that appropriate knowledge management ensured. Knowledge acquisition, knowledge sharing, knowledge storing, information technology and organizational culture have positive effect on organizational performance.
Data Induk Mahasiswa sebagai Prediktor Ketepatan Waktu Lulus Menggunakan Algoritma CART Klasifikasi Data Mining

Fakultas Teknologi Informasi Universitas Stikubank (UNISBANK) as one of the faculties in higher education in implementing learning activities has produced a lot of stored data and has graduated many students. The level of timeliness of graduation is important for study programs as an assessment of success. This research tries to dig up the pile of student parent data and graduation data in order to get the pass rate and graduation prediction of active students. By implementing the classification data mining technique and the CART algorithm, it is hoped that a decision tree can be used to predict the class timeliness of graduating from active students. By using the graduation data and student parent data totaling 1018 records, a decision tree model was obtained with an accuracy rate of 63% from the data testing test. Determination of split nodes using the Gini Index which breaks the dataset based on its impurity value. Tests conducted in this study show that the order of the variables in the decision tree is gender, origin school status, parental education, age at entry, city of birth, parent's occupation. The prediction with the resulting model is that 71% of active S1 Information Systems students can graduate on time and 51% for S1 Informatics Engineering students.
Cybersecurity capability maturity models review and application domain

Cybersecurity is a way of protecting organization critical assets, through the identification of cyber threats that can compromise the information stored, it involves the protection, identification, and responding to threats. The main aim of this article is to conduct an ample review of the published cybersecurity capability maturity models using a systematic review of published articles from 2014 to 2019. Features of Hal- vorsen and Conradi’s taxonomy were adopted to explain the models identified. The results indicated adopting a model to a certain organization is not feasible. However, modification is required before implementation, as the cost of implementation is not available when conducting this research.
Tracing Students Attendance During Covid-19 Pandemic by Applying Location Detection Technology

The Covid-19 pandemic outbreak has initiated the learning process to switch from face-to-face learning methods to open distance learning. The open distance learning is a concept of students assessing the lectures from different venues. Among the activities that are affected by that change, are the process of recording student’s attendance and engagement during the online lectures, as opposed to the normal method of being in the same classroom during the lecture. The Global Positioning System (GPS) is a global navigation satellite system that provides location and time synchronization. This approach can assist lecturers in tracking the position of their students throughout the learning session. The operation of the GPS is based on the trilateration method where the position is determined from the distance measurement to satellites. Therefore, iHadir has been proposed to overcome the issue of tracking the students’ attendance. The iHadir is a mobile-based application system that can detect student’s location during the learning session. This application can be used as a new alternative in monitoring the student’s attendance during online learning. The iHadir will help in increasing the effectiveness of attendance’s record during online learning.&#x0D;
Seeded Composition (Advanced)

This open electronic music compositional activity is designed as preparation for a university-level final assignment in any style, including electroacoustic music, electronic dance music, hip-hop, and song. Working with a seed requires discipline and creativity, and when used in the context of electronic music, it pushes composers to learn the ins and outs of the platform they are using. In addition, there is also a reflective written element (scratchpad) embedded in this activity, which is intended to percolate students’ creative goals. Finally, this activity is designed to induce a rigorous, fulfilling, and well-paced compositional process for an autonomous yet supported final piece.
Mejoramiento vegetal moderno, inteligencia artificial y derechos de propiedad intelectual

The modern plant breeding to obtain new plant varieties is based on genomic and phenomic selection generated through big data with millions of information points. In the face of such a quantity of data, it is necessary to use artificial intelligence to combine a complete vision and analysis of the problem through a human-computer interaction never addressed.The use of artificial intelligence has already created interpretive challenges in patents and copyrights. To a greater extent, modern plant breeding with the assistance of artificial inte-lligence is exposing major disarticulations and anachronisms in the Plant Breeder’s Rights and patent systems for biotechnological inventions. The challenges may even extend to the question of who would be entitled to the right in the case of products obtained without human intervention.The analysis of the situation indicates, on the one hand, that it would be necessary a review of the international framework of intellectual property rights in plant living matter which is based on independent treaties and conventions that apply to an indivisible organism as is a new plant variety. A more logical proposal would be to have a single, modern, and up-to-date compre-hensive sui generis protection system for all types of plant germplasm. On the other hand, it is proposed that, even in the case of products obtained through complete artificial intelligence processes, there must always be a human person legally responsible of the consequences of their actions, whether positive or negative
Presensi Kelas Berbasis Pola Wajah, Senyum dan Wi-Fi Terdekat dengan Deep Learning

Students' attendance in class is often mandatory in education and becomes a benchmark for assessing students. Sometimes there are still fraudulent practices by students to achieve minimum attendance. From the administrative perspective, a paper-based presence system is potentially wasteful and extends the administrative stage because it requires manual recapitulation. This study aims to design a class attendance application based on facial pattern recognition, smile, and closest Wi-Fi. The method used in this research is a deep learning approach with CNN based architecture, FaceNet, to recognize faces. In addition to facial images, the system will also validate the attendance with location and time data. Location data is obtained from matching SSID from the database, and time data is taken when the user sends attendance data through API. This attendance system consists of three applications: web, mobile, and services installed on a mini-computer, which are integrated to sending attendance data to the academic system automatically. As confirmation, students are required to smile selfies to strengthen the validity of their presence. The testing model's accuracy results are 92.6%, while for live testing accuracy the model obtained 66.7%.&#x0D;