Reviewerly/exHarmony huggingface dataset:
ASR - VLSP 2021: An Efficient Transformer-based Approach for Vietnamese ASR Task

Various techniques have been applied to enhance automatic speech recognition during the last few years. Reaching auspicious performance in natural language processing makes Transformer architecture becoming the de facto standard in numerous domains. This paper first presents our effort to collect a 3000-hour Vietnamese speech corpus. After that, we introduce the system used for VLSP 2021 ASR task 2, which is based on the Transformer. Our simple method achieves a favorable syllable error rate of 6.72% and gets second place on the private test. Experimental results indicate that the proposed approach dominates traditional methods with lower syllable error rates on general-domain evaluation sets. Finally, we show that applying Vietnamese word segmentation on the label does not improve the efficiency of the ASR system.
PENGARUH MODEL EXAMPLE NON EXAMPLE TERHADAP HASIL BELAJAR SISWA PADA PEMBELAJARAN IPA DI KELAS V SDN 08 VII KOTO SUNGAI SARIAK PADANG PARIAMAN

This research is motivated by the low learning outcomes of science, especially the fifth grade students of SDN 08 VI Koto Sungai Sariak Padang Pariaman. One of the factors causing low student learning outcomes is teacher center learning, so that students are less interested in learning and students are not directly involved in learning. The purpose of this research is to prove whether there is an effect of example non example on learning outcomes of science in class V SDN 08 VII Koto Sungai Sariak Padang Pariaman. This research is an experimental study with a posttest-only control design. The sampling technique in this study was Total Sampling, all fifth grade students were sampled in this study. The primary data in this study is the value of the posttest results. Meanwhile, secondary data was obtained from the value of the IPA test results for class V. The data analysis technique used in this study was the requirements analysis test and hypothesis testing with the t-test. The average posttest score obtained in both classes is. the experimental class is 78.90 and the control class is 77.09 with a difference of 1.81. The criteria for testing the titu price compared to the table are accepted Ho if tcount &lt; table and reject H. if tcount has another value. The table price with a 0.05 and dk 41 is 1.68. From the research, it was found that tcount 2.51, because tcount &lt; ttable and this is not in the acceptance of Ho, so Ha, accepted means that there is a difference in learning outcomes between learning using the Influence model of non-example and conventional learning. It can be concluded that there is an effect of using the example non example model on the learning outcomes of science class V SDN 08 VII Koto Sungai Sarik Padang Pariaman.
MENGATASI KEMACETAN DI LAMPU MERAH DENGAN PENDEKATAN IMAGE PROCESSING

The phenomenon of congestion in a big city is generally caused by the large number of vehicles while roads do not develop every year. The growth in the number of vehicles on the highway contributes to a large number of causes of congestion. Congestion often occurs at red light intersections. Various solutions have been implemented such as limiting the number of vehicles based on odd-even numbers by date, limiting motorized vehicles such as motorbikes that are not allowed to pass through the main road, increasing the number of public vehicles and arranging the departure schedule for school children and office employees. The solution has been carried out but there are still long queues of vehicles. One of the reasons for this is because the number of vehicle queues is long while the timer that shows the time to walk or the green light is short. Intelligent systems technology-based approach can be used to overcome these problems. Because humans have limitations to do so, the task can be done by computers. The result of this activity is that the right camera position is next to the traffic timer and the best time to read the image is during the day
PENGARUH PENERAPAN KNOWLADGE MANAGEMENT DAN PENGEMBANGAN SUMBER DAYA MANUSIA TERHADAP KINERJA KARYAWAN PT CPJF FRAM 1 PADANG PARIAMAN

This type of research is quantitative which is research which emphasize on cognitive assay – theory passes through research variable with numeral and does analisis data with statistical procedure. This research slated to test implement influences knowladge management and human resource development for performance to fire an employee PT CPJF Fram 1 Pariaman's Moorland. With samples taking tech total population be made by sample by totals sample as much 67 employees PT CPJF Fram 1 Pariaman's Moorlands. Analisis is data utilizes to program SPSS. This observational result is Yielding hypthosts testing first be gotten knowledge management having for for performance to fire an employee. That probe this variable have influence that signifikan at indication with degree signifikansi is smaller of 0,05 which is 0,000. Hypthosts testing result both of acquired that human resource development having for for performance to fire an employee. This was seen from smaller signifikansi degree of 0,05 which is 0,002
Social media and fake news:

The upsurge and growth in the uptake of social media has had a profound impact on journalism as it has traditionally been practised. Social media has permeated all aspects of human activities and brought with it negative as well as positive effects on society. It has not only affected the way we communicate, socialize and work, but also view the world. This new media has affected the way the profession of journalism is practised. It has made it possible for persons without any training in journalism – bloggers to write and post stories without any censorship. Some of the stories are sensational fabrications lacking facts and professional editorial input – they are fake news. Social media has enabled persons without any publishing knowledge to publish newspapers, magazines and books without going through the editorial vetting process. It has enabled journalism to become a free-for-all trade where anyone who is IT savvy can write and post content that will be readily consumed by an international audience. This is done in utter disregard of journalistic code of practice and is devoid of professional ethics. The end result has been a plethora of publications which are poorly written, poorly edited and utterly lacking in authenticity and artistic creativity as we have always known it. Not all is bleak however. Social media has come with a number of advantages that have impacted the way we work, behave and relate. Social Media has had a positive effect on society; be it in business, or in education, it has helped us to stay updated on current affairs and new developments, communication and health. Through social media, there has been an increase in the uptake of skills, new technology and information dissemination. It has revolutionized the work of journalism and made communication easier and faster. This paper has used library and internet research to evaluate the impact of social media on journalism and to suggest possible solutions to the problem of proliferation of fake news.
Split Sample Sequential Fences based on Bootstrap Cut Off Points for Identifying Outliers and Parameter Estimations

Sequential fences is a simple graphical method that is used for detecting outliers. This method is advantageous to the anlaysts in constructing fences which adjusted for various sample sizes. It is a helpful way to to detect the single and multiple outliers especially in normal or approximately normal data. However, when the distributions of the data are skewed, sequential fences method tends to result in misleading outcome. This paper proposes solution to deal with this problem. The proposed approach with modified algorithm namely Split sample sequential fences with bootstrap (SSFB) is an alternative way to improve sequential fences which can lead to higher accuracy in the detection of outliers and can be applied to a wide range of distributions data. The validity of the new technique has been checked by constructing fences around the true 95% values of different distributions. It was found that the sequential fences constructed by the modified technique not only can detect the outliers in positively skewed distribution but also has smaller bias and smaller root of mean squares error (RMSE) which proves it superiority on the existing techniques.
Produced water treatment using integrated modified surface of kapok fibres and ceramic membrane

The treatment of produced water from oil and gas fields before reinjection into reservoirs is an effort to reduce oil & grease include heavy metals that harmful to water bodies. In the current work, the modified kapok fiber (Ceiba Pentandra. L) surface using hot water for oil & grease removal was investigating on a laboratory scale. The present work aims to evaluate the modified kapok fibres surface (MKFS) using hot water as an adsorbent and commercial ceramic membrane in removal some contaminants of produced water, especially for barium ion. Some parameters of produced water determined were chemical oxygen demand (COD), total dissolved solids (TDS), oil & grease, and barium ion concentration. The effect of hot water treatment on the MKFS was evaluating using SEM-EDX. Results show that MKFS using hot water at 85 °C effectively removed 99.4% oil & grease, 12.2% TDS, 76.6% COD, and 38.7% barium from produced water. Result also shown that in the proposed method, the total removal of COD, TDS, oil & grease, and barium ions is 98.3%, 73.6%, 73.2%, and 76.4%, respectively. It concluded that the MKF surface is the potential method for diminished oil & grease and heavy metal from produced water.
Grammatical Error Analysis of the Students' Recount Text at the Eleventh Grade Students

This study is aimed at analyzing the types of grammatical error, which is viewed from 4 categories such as Omission, Addition, Misselection, and Misordering, that the students do and which types of grammatical error which the students most frequently do in writing a recount text. The research design is a descriptive research with quantitative approach. The participants are the eleventh grade students of MA Sunan Giri Gondang in academic year 2020/2021 consisting of 20 students. To collect the data, the researcher uses writing test as the instrument then analyzes it based on these procedures, i.e. identifying, describing, and explaining. The findings show that there are 182 errors made by the students which are divided into some categories, i.e. Omission category was 47 (26%), Addition category was 20 (11%), Misselection category was 114 (63%), and Misordering was 1 (1%). Meanwhile, the most frequent error made by the students was Misselection category. Based on the findings, The teachers should pay more attention to the students’ grammar especially in language features of Recount text and motivate more the students to learn grammar by applying various kinds of teaching method. Furthermore, this research also can be as a reference for other researchers when conducting similar research with different participant
A dynamic firefly algorithm based on two-way guidance and dimensional mutation

As a stochastic optimiser, the firefly algorithm (FA) has been successfully and widely used in the solutions to various optimisation problems. Recent related research shows that the standard FA does not sufficiently balance between exploration and exploitation. Especially in high-dimensional problems, it is easy for the standard FA to fall into the local optimum and lead to premature convergence. To overcome the problems as mentioned above, DMTgFA uses three strategies: dynamic step length setting strategy (DS), non-elite two-way guidance model (TG) and elites dimensional mutation strategy (DM). The dynamic step length setting strategy makes the algorithm convergence speed faster. The non-elite two-way guidance model and the elite dimensional mutation strategy cooperate to solve the balance problem between global search and local search. Experimental results show that DMTgFA has stronger optimisation ability and faster convergence speed than other state-of-the-art FA variants.
IMPROVING STUDENTS’ VOCABULARY MASTERY THROUGH MAKE A MATCH TECHNIQUE TO THE SEVENTH GRADERS OF SMP NEGERI 40 PALEMBANG

Vocabulary is learned through focused, conscious study, but even more commonly in an indirect manner through listening, reading and using context clues to figure out the meaning.However, this kind of incidental learning is only possible if the amount of unknown words remains low.The purpose of this study was to find out whether or not Make a Match technique was effective to improve students' vocabulary mastery.In conducting this study, the researchers used quasi experimental research design.Test was used as the technique for collecting data.The data were analyzed by using paired and independent sample t-test.The population was all the seventh graders of SMP Negeri 40 Palembang in the academic 2019/2020.The researchers used purposive sampling technique and took the classes of VII.9 and VII.10 as the sample of the study.The result showed that make a match was effective to improve students' vocabulary mastery.It was found that the value of t-obtained was higher than the critical value of r-table or the tobtained was 6.998 then t-table was 1.999.Based on the result of the analysis, it is claimed that make a match technique was effective to improve students' vocabulary mastery to the seventh graders of SMP Negeri 40 Palembang.
Suite-based Monitoring Model to Control the Distance Learning Quality During the Covid-19 Pandemic

The monitoring of the education quality standards on the implementasion of the distance learning during the Covid-19 pandemic had proven to be difficult. This study aims to develop a monitoring model by utilizing the Gsuite facility to assist principals in supervising learning activities carried out by teachers. This development research used the Borg and Gall model which had been adapted by Lawrence Cunningham. FGD (Focus Group Discussion) and SWOT analysis were used during the research, starting from collecting information, setting goals, making initial models, testing, and evaluating until the final model was produced. The trial was carried out by involving 20 respondents consisting of principals and teachers. The results of the trial and application of the model showed significant results. MMBGSuite's product have met the standard eligibility criteria by showing results of 82.9% for media validation and 76.2% for content or material validation so that it declare to get the “feasible” predicate. Likewise for practicality standards, MMBGSuite also received a percentage score of 80.6% from teachers and 85.4% from school principals indicating that this model is easy to use and practical. The results of this study indicate that the Gsuite-based monitoring model (MMBGSuite) can provide solutions to facilitate school principals in carrying out supervision and controlling the quality of the academic activities when distance learning was implemented during the Covid-19 pandemic.
Artificial Intelligence and Singularity at Future Horizon

The term technical singularity or in simply singularity itself very ambiguous because several write-ups, postulates, theories and hypothesizes but the concern of all these again reach to same singularity of conclusion is singularity occurred in near future with including my conclusion on the basis of law of technological acceleration return.
KERJASAMA KELOMPOK PRIMER SISWA DALAM PEMBELAJARAN DARING DI MTS AL-FATWA KUBU RAYA

The title of this research is Primary Student Group Cooperation in Online Learning at MTs Al-Fatwa Kubu Raya. The purpose of this study was determine and describe the spontaneous cooperation and direct cooperation of primary groups of students in online learning at MTs Al-Fatwa Kubu Raya. This research uses descriptive method with qualitative research form. The data source of this research is students who have a primary group and homeroom teachers. Data collection tools in this study used observation guides, interview guides and documentation studies. The results showed that (1) the spontaneous cooperation of the primary group of students was evidenced by (a) remind primary group members to do assignments on time, (b) explain the material not yet understood by the primary group members as well, (c) reprimand members of the primary group who have not submitted their assignments, (2) direct cooperation of the student's primary group is evidenced by (a) perform tasks based on orders and (b) submit assignments on time
Spatial and Temporal Pattern of Internet Engagement of Campus Community in Relation to Internet Reliability at ITB Jatinangor Campus

Since the beginning of its operation in 2011, the number of study programs in ITB Jatinangor, as well as the number of its students, lecturers, and administrative personnel being employed, have increased significantly.To digitally serve the community, the management of ITB Jatinangor campus, in coordination with the Directorate of Information Systems and Technology of ITB, has significantly increased the number of internet access points within the campus, from only 10 access points in 2011 to 144 access points in 2019.In this study, we analyzed traffic of internet network usage, especially Wi-Fi network, spatially and temporally, by measuring bandwidth at 25 buildings which cover 65 access points as samples, during day and night times.The data were then compared to traffic history in the management system.An online survey on student behavior related to internet usage was also conducted.In general, we found that internet reliability at Jatinangor campus can be categorized as fairly good, as the respondents gave a score of 3 on a scale of 5. Disruption of internet connectivity at Jatinangor campus often occurs due to unavoidable external factors.Respondents generally (60%) accessed the internet for more than 5 hours every day, especially between 5.00 pm to 9.00 pm.Students accessed Wi-Fi from several places such as student dormitories, lecture rooms, student association rooms, libraries, and canteen.They used the internet mostly (40%) to browse and download material related to lectures, while the rest was mostly for social media, watching movies, or keeping abreast of the news.Besides the number of access points, internet access speed depends on the number of users connected to the internet, the allocation of available bandwidth, and the level of bandwidth consumption.As the covid-19 is not over yet, most of the courses will be conducted virtually.This condition has emphasized the necessity to increase internet reliability on campus and prepare the campus as a smart and green campus for a much safer and healthy environment in pursuing excellence in the academic atmosphere.
Deep Learning-Enabled Spatial Phase Unwrapping for 3d Measurement

In terms of 3D imaging speed and system cost, the single-camera system projecting single-frequency patterns is the ideal option among all proposed Fringe Projection Profilometry (FPP) systems. This system necessitates a robust spatial phase unwrapping (SPU) algorithm. However, robust SPU remains a challenge in complex scenes. Quality-guided SPU algorithms need more efficient ways to identify the unreliable points in phase maps before unwrapping. End-to-end deep learning SPU methods face generality and interpretability problems. This paper proposes a hybrid method combining deep learning and traditional path-following for robust SPU in FPP. This hybrid SPU scheme demonstrates better robustness than traditional quality-guided SPU methods, better interpretability than end-to-end deep learning scheme, and generality on unseen data. Experiments on the real dataset of multiple illumination conditions and multiple FPP systems differing in image resolution, the number of fringes, fringe direction, and optics wavelength verify the effectiveness of the proposed method.
Policycorpus XL: An Italian Corpus for the detection of Hate Speech Against Politics

In this paper we present a large corpus of Twitter data in Italian, manually annotated with hate speech in the political domain. Given the rising amount of hate messages in the public debate, we believe that this is a valuable resource for the NLP community. Here we describe the collection of data and test some baseline with classification algorithms.
Improving Exposition Writing Ability Using Think-Talk-Write Strategy for Class X Vocational High School Students

There are many obstacles in learning to write expository texts in vocational high schools. This happens because teachers still use conventional learning strategies. The researcher used a qualitative descriptive method of classroom action research (CAR). The results of the exposition text writing test in the first cycle showed an average value of 79.25 and in the second cycle an average of 83.22. From these results, it can be seen that the increase in students' skills in writing expository texts from cycle I to cycle II is 3.97 points or 12.03%. In addition to improving skills, student behavior also changes in a more positive direction after learning to write expository texts using the Think-Talk-Write strategy.
The Effectiveness of Online English Learning Activities in Rural Area: A Case Study of Timpag Village, Tabanan, Bali

Purpose: This research aims to analyze online English learning activities in the rural area of Bali through a case study of Timpag Village, Tabanan Regency, Bali.&#x0D; Design/methodology/approach: A SWOT analysis was conducted to determine the strengths, weaknesses, opportunities, and threats that influence the decline in student enthusiasm related to online learning.&#x0D; Findings: The results obtained are a declining trend in teaching and learning activities in Timpag Village due to less interactive learning material and the lack of interaction between parents and teachers in monitoring student learning activities at home.&#x0D; Implications: The solution given is to improve coordination between parents and teachers and improve the quality of the material that will be provided.
Fingerprint and iris based secured voting machine using MATLAB

In each election, the election commission is dealing with numerous varieties of hurdles for conducting elections. The most acquainted hurdle faced by the election commission is inappropriate confirmation of voter's details before permitting them to cast their votes, resulting in duplicate/illegal polling of votes. In this paper a secure system is developed to boost current system adopting iris and fingerprint recognition. Iris is one amongst the most secured biometric for person verification. The goal of this work is to eliminate duplicate casting of votes. This project involves in developing a secured voting system using fingerprint and iris.