Reviewerly/exHarmony huggingface dataset:
PELUANG PENGHEMATAN ENERGI PADA BILLBOARD UKURAN SEDANG DAN BESAR SE-KOTA BANDUNG

&#x0D; &#x0D; &#x0D; &#x0D; Billboard is the type of outdoor advertising. For this reasonable effectiveness of the billboards were placed and selected on the road that has high traffic density. Furthermore, in order to attract attention, the billboard is equipped with powerful lights large enough to get eye catching effect. At certain hours of relatively low traffic density, so that the expected level of effectiveness of billboards as a function of promotion will also be decreased. In these conditions for reasons of energy saving light energy should be reduced or even turned off. The problem is what time the street has low traffic density. Based on these reasons, it is necessary to conserve energy on billboards as the city of Bandung by conducting a review the level of traffic density per hour and determine the feasibility level of energy use electricity for lighting&#x0D; Billboards.&#x0D; &#x0D; &#x0D; &#x0D;
TEACHING AND LEARNING OF PICTURE-BASED COMPOSITION WRITING IN PRIMARY SCHOOL CURRICULUM IN SINGAPORE

The primary school Malay Language syllabus emphasises on the teaching and learning (T&amp;L) of writing skills since Primary 1 (P1). The picture-based composition writing (PbCW) was introduced at P3. Based on teachers’ feedback, the the resources for T&amp;L of PbCW found in the CEKAP and MEKAR packages, published by the Ministry of Education, are not sufficient to develop composition writing skills among pupils even though PbCW was tested in end-of-year-examinations in schools. Teachers also faced problems to source for the appropriate picture-series that are aligned with the topics available in both packages. In addition, teachers also need more time to produce picture-series that are related to the topics. These problems raised the issue of validity of the school-based examinations when teachers re-use the picture-series resources purchased from external vendors. Teachers also face challenges in implementing T&amp;L effectively, especially for P3 pupils because there is a huge gap between the skills taught in P2 and P3 classes. Based on these needs, the Malay Language Centre of Singapore (MLCS) took initiatives to produce the PbCW Package to support T&amp;L that are aligned with curriculum requirements. To date, 126 teachers have been trained to use the resources and trialled them in their respective schools. Based on the trialling exercise conducted by 97 respondents, all of them reported strongly agree that the resources provided are aligned with topic of units available in CEKAP and MEKAR packages. All respondents stated that they were able to implement the suggested T&amp;L more effectively based on the recommended strategies. Hence, the PbCW resources that are aligned with curriculum content and well supported by effective strategies are important to ensure pupils’ learning are enriched and enhanced.
DEVELOPING INSTRUCTIONAL MATERIALS BASED ON INQUIRY LEARNING MODEL

ABSTRACT: This research is aimed to developing instructional English materials for the students of the seventh grade especially in basic competencies 3.1, 4.1, 3.2, and 4.2 at MTs Madani Pao-pao based on 2013 curriculum supported by using inquiry learning model and using the concept of HOTS in indicators achieved. The research design used in this study was Research and Development (R&amp;D). The development model used was ADDIE model. It consists of need analysis, design, development, implementation, and evaluation. The procedures included analyzing materials needed by spreading questionnaire to the students and analyzing the basic competencies used, designing a blueprint of materials and the instructional materials, and validating the material by the expert. There were 146 students as the respondents of 26 questionnaire questions. The instruments used in this research were the documents, questionnaire, and validation checklist. In this research, the expert was involved in order to validate the product. There were three systematic aspects that they validated of the product: Materials Systematic Organization, Systematic English Teaching and Systematic Content of English. Therefore, the result indicated that based on experts judgment as well as product development result, the developed basic competency 3.1 &amp; 4.1 and basic competency 3.2 &amp; 4.2 were applicable to be taught at the seventh grade students of Junior High School as topic in English for them.
Evaluasi Ketergunaan Aplikasi SIMPERTAN di Pustaka Bogor

This research describes about the usability evaluation of SIMPERTAN application at PUSTAKA Bogor. SIMPERTAN is a web-based application that was developed by PUSTAKA to integrate the process of procurement, organize, service and circulation of library materials and became the union catalog for the PUSTAKA and the Library Institution in Balitbangtan scope. However, the usability of this application is still not optimal because Librarians at PUSTAKA still use other applications, such as WinISIS. Therefore, this study aims to evaluate how the usability of SIMPERTAN applications by librarians in PUSTAKA and the Library Institution in Balitbangtan scope under the guidance of LITERATURE in the Bogor region. This study uses quantitative approaches with quantitative descriptive methods. Data collection is done by survey method using a questionnaire. The results showed that the usability of SIMPERTAN application was in the high category. But there were a number of obstacles from the technical, system and librarian aspects, thus making SIMPERTAN usability less optimal.
Research on Automatic Generation of Table Tennis Technique and Tactics Collection Template

In the professional table tennis team, the content of the game is summarized after each contest.The summary process needs to set up technical and tactical acquisition templates according to the coach's intention, and then perform technical and tactical data collection and analysis according to the template.However, due to the randomness of the template, manual design of the template requires a lot of manpower and time, making the technical and tactical collection efficiency very low.In order to improve the acquisition speed, this paper analyzes the recommendation algorithm based on collaborative filtering and its implementation process.Combined with the process of table tennis technology and tactics collection and analysis, this paper proposes a solution to automatically generate table tennis tactics acquisition template.Experiments show that this method reduces the time required by the method of manually designing the template by 50% and improves the collection efficiency.
Scalable Approximate Bayesian Inference

Author(s): Chen, Tian | Advisor(s): Shahbaba, Babak | Abstract: The availability of massive computational resources has led to a wide-spread application and development of Bayesian methods. However, in recent years, due to the explosive growth of data volume, developing advanced Bayesian methods for large-scale problems is still a very active area of research. This dissertation is an effort to develop more scalable computational tools for Bayesian inference in big data problems.At its core, Bayesian inference involves evaluating high dimensional integrals with respect to the posterior distribution of model parameters and/or latent variables. However, the integration does not have closed form in general, and approximation methods are usually the only feasible option. Approximation can be divided into two main categories: deterministic approximation based on variational optimization, and stochastic approximation based on sampling methods. We start with developing a new variational framework --- geometric approximation of posterior (GAP) --- based on ambient Fisher geometry. As a variational method, GAP has the potential to scale well to large problems compared to computationally expensive sampling methods. It not only has a well-established mathematical basis --- information geometry, but also works as a better alternative to other variational methods such as variational free energy and expectation propagation under certain scenarios. Next, we focus on another class of approximation scheme based on MCMC sampling. Our method combines auto-encoders with Hamiltonian Monte Carlo (HMC). While HMC is efficient in exploring parameter space with high dimension or complicated geometry, it is computationally demanding since it has to evaluate additional geometric information of the parameter space. Our proposed method, Auto-encoding HMC, is designed to simulate Hamiltonian dynamics in a latent space with a much lower dimension, while still maintaining efficient exploration of the original space. Our method achieves a good balance between efficiency and accuracy for high-dimensional problems. Besides our work on scalable approximation methods for Bayesian inference, we have also developed a variational auto-encoder (VAE) model based on determinantal point process (DPP) for big data classification problems with imbalanced classes. VAE is a generative model based on variational Bayes and is typically applied to high-dimensional data such as images and texts. In the presence of imbalanced data, our method balances the latent space by using a DPP prior to up-weight the minor classes. We successfully applied our method, henceforth called DPP-VAE, to neural data classification and hand-written digits generation, which are both high-dimensional in nature. Our method provides better results compared to standard VAE when datasets have imbalanced classes.
Persepsi Dan Sikap Bahasa Mahasiswa Terhadap Pembelajaran Bahasa Indonesia

The background of the research problem is students assume that Indonesian language courses are subjects that are considered easy and do not need to be studied on the grounds that they are able to speak Indonesian verbally, Indonesian has been used in everyday life both in formal and non-formal environments. This reason makes students assume that learning Indonesian does not need to be learned and is not included in the use of international languages as the language of communication between countries. If this continues, it can indicate the students' thinking that Indonesian is not important to learn and understand, thirdly, students assume that Indonesian language courses are only for meeting SKS and not for the importance of learning Indonesian language. If this statement is true then this subject is not yet based on its desire to know Indonesian language learning. The purpose of this study was to determine students' perceptions and attitudes towards first semester Indonesian language learning at IAIN Padangsidimpuan. This research method uses descriptive qualitative approach with this research data collection instrument in the form of questionnaires, observation and interview processing techniques and data analysis of this research is data editing, data reduction and drawing conclusions namely compiling data editions into systematic sentences. The result showed that the students think that bahasa Indonesia is easy to study, on the other hand they still unable to use it whether in daily communication or even in written expression. Their attitude to bahasa Indonesia is still low, it means that they are not care about bahasa Indonesia lesson because they think that it is not important for them, it is shown by inability of the students in writing scientific article
Academic World: How Do We Face The Challenges Of Fourth Industrial Revolution?

The fourth industrial revolution is impacting everyone in certain aspects. Entering the digital age in this 21st century, digital literacy appeared to be an advantage to better suit in this era especially for an engineer with the background of computer science or electrical and electronic engineering. Yet, in Malaysia, for educators especially teachers in primary and secondary schools, it might be a bit challenging for them. The Design and Technology subject, as the replacement for Integrated Living Skill subject, is hoped to get the younger generation ready for challenges in the fourth industrial revolution. The Standard Document for Curriculum and Assessment of the Design and Technology subject uses Magnetcode as main tool for programming and system control. The aim of this study is to investigate the capability and readiness of non-engineering and non-information-technology teacher trainees in facing the era of forth industrial revolution via project development. Subject of this study is final year undergraduate students under the program of Agricultural Science and Home Economics. Formative assessment is used to evaluate the output. In conclusion, multidiscipline appeared to be a solution for current generation to face the challenges by fourth industrial revolution, especially for those who are not from engineering or information technology backgrounds. Suitable platform with sufficient facilitations, facilities and resources could help to prepare those non-engineering and non-information-technology background teacher trainees to be more ready for fourth industrial revolution.
REGRESI KOMPONEN UTAMA ROBUST S-ESTIMATOR UNTUK ANALISIS PENGARUH JUMLAH PENGANGGURAN DI JAWA TENGAH

Robust principal component regression s-estimator is principal component regression that applies robust approach method at principal component analysis and s-estimator at principal component regression analysis. The aim of robust principal component regression s-estimator is to overcome multicollinearity problems in multiple linier regression Ordinary Least Square (OLS) and to overcome outlier problems in principal component regression so get the most effective model. Minimum Volume Ellipsoid (MVE) is one of the robust approach methods that applied when doing principal component analysis and S-Estimator is one of the estimation methods that applied when doing principal component regression analysis. The case in this study is the factors that influence the Number of Unemployment in Central Java in 2017. The model that provides the most effective result to handling multicolliniearity and ouliers in the case study Number of Unemployment in Central Java in 2017 is using robust principal component regression MVE-(S-Estimator) with Adjusted R2 value of 0.9615 and RSE value of 0.4073. Keywords: Robust Principal Component Regression S-Estimator, Multicollinearity, Outliers, Minimum Volume Ellipsoid (MVE), Number of Unemployment.
Pengeruh Strategi Pembelajaran Active Knowledge Sharing Terhadap Motivasi Belajar Mata Kuliah Masa'ilul Fiqhiyah Mahasiswa STAI Alhikmah Jakarta

This study aims to find out the influence of learning strategies&#x0D; active knowledge sharing on learning motivation masa’ilul&#x0D; fiqhiyah courses students of Islamic High School ALHIKMAH&#x0D; Jakarta. The method used through a quantitative approach&#x0D; and using a simple regression statistical test. The results of the&#x0D; study showed that there was a significant effect between active&#x0D; knowledge sharing learning strategies on learning motivation&#x0D; at the masa’ilul fiqhiyah. This is evidenced by the acquisition of&#x0D; r count&gt; r table (0.871&gt; 0.361) which means Ha is accepted and&#x0D; Ho is rejected. And the magnitude of the effect of active knowledge&#x0D; sharing learning strategies on learning motivation was 75,8%,&#x0D; while 24,2% of learning motivation was influenced by other&#x0D; variables not examined.&#x0D; Keywords: Strategies Active Knowledge Sharing; Motivation;&#x0D; Masa’ilul Fiqhiyah.&#x0D; &#x0D; Penelitian ini bertujuan untuk mengetahui adanya pengaruh&#x0D; strategi pembelajaran active knowledge sharing terhadap&#x0D; motivasi belajar matakuliah masa’ilul fiqhiyah mahasiswa&#x0D; STAI ALHIKMAH Jakarta. Metode yang digunakan melalui&#x0D; pendekatan kuantitatif dan menggunakan uji statistic regresi&#x0D; sederhana. Hasil penelitian menunjukkan bahwa terdapat&#x0D; pengaruh yang signifikan antara strategi pembelajaran active&#x0D; knowledge sharing terhadap motivasi belajar matakuliah&#x0D; masa’ilul fiqhiyah mahasiswa STAI ALHIKMAH Jakarta. Hal ini&#x0D; dibuktikan dengan perolehan r hitung &gt; r tabel (0,871 &gt; 0,361)&#x0D; yang berarti Ha diterima dan Ho ditolak. Dan besarnya pengaruh&#x0D; strategi pembelajaran active knowledge sharing terhadap&#x0D; motivasi belajar matakuliah masa’ilul fiqhiyah mahasiswa STAI&#x0D; ALHIKMAH Jakarta sebesar 75,8 %, sedangkan 24,2% motivasi&#x0D; belajar dipengaruhi variable lain yang tidak diteliti.&#x0D; Kata kunci: Strategi Pembelajaran Active Knowledge Sharing;&#x0D; Motivasi Belajar; Masa’ilul Fiqhiyah.
Norms of Distribution of Readability Variables Selected to Develop Readability Formula for Kannada Language

Readability formula is a predictive device to determine the extent of readability of selected written material in general and agricultural publications in particular.The foremost purpose of every readability formula is to serve as a good yardstick to measure the readability level of the passage analysed and also to provide guidelines and procedures for the writers to make their writing readable.With this purpose in view, readability formula was specifically developed for the study.The developed readability formula was found appropriate to describe in detail the norms of distribution of the three readability variables with reference to different school levels.Word length, Average sentence length and Percentage technical words were the readability variables selected for the study.The norms of distribution in terms of mean, standard deviation and range of the three readability variables are presented for three categories viz., Primary school, Middle school, and High school level.Further it was also essential to know the relationship between the readability formula developed and the earlier formulae developed in Kannada language.For this purpose, 20articles were selected from KrishiVignana journal for illustrating the application of present formula and analyzed using the earlier readability formulae.Results revealed that there was a significant relationship between the developed readability formulae with the readability formula developed by earlier social scientists.The formula will be particularly helpful for prior testing of written material before publishing it for the benefit of readers in general and farmers in particular.The norms of distribution developed will be helpful to comprehend more accurately which type of words and sentence they can use while writing for a particular type of readers.
Global materials versus local materials for students’ reading comprehension: a library research

This study scientifically aimed to investigate whether or not local materials influences reading comprehension towards students in general instructional settings, compared to global materials. The researcher conducted the study by collecting 20 empirical research articles from 2009 till 2018 through computer searches from the database and through book readings, related to global and local materials and experimental studies for investigating the effectiveness between the global and the local materials towards learner's reading comprehension. As soon as the researcher gathered the articles, the articles were then analyzed and synthesized into data results and discussion related to the theories. The researcher also consulted data result and consultation with the experts of the English Language Teaching Materials. The result had synthetically shown that the local materials, integrated local culture content inside were more active compared by the global materials for reading comprehension because of students' background knowledge of their local cultural familiarity in the target language materials. It also emphasized the strong influence of the usage of it for students' reading comprehension improvement.
COLLABORATED FEATURE SUPERVECTOR AND COLLABORATED LANGUAGE MODEL FOR PHONOTACTIC LANGUAGE RECOGNITION

The now-acknowledged vulnerabilities of phonotactic language recognition (PLR) technology to long-term contexts have spawned interests to develop many methods to overcome it. In this paper an approach to build a collaborated feature supervector (CFS) built with binary decision tree feature and N-gram feature is proposed, and a collaborated language model (CLM) is introduced, which used to applied to deal with the problems of phonotactic language identification tasks, such as weak to handling long-term contexts and an exponential growth of the number of the parameters in the processing of modelling. Experiments are carried out on the database of National Institute of Standards and Technology Language Recognition Evaluation 2009 (NIST LRE 2009). The experimental results have confirmed that phonotactic language recognition system using the collaborated language model yields 1.07%, 2.68%, 13.48% in equal error rate (EER), which means 8.54%, 12.70% and 4.60% relative reduction for 30 s, 10 s, 3 s compared to the baseline system, respectively.
Currently topical problems of teaching mathematics at the Technical University

This article considers the issue of higher professional education improvement in Kazakhstan, on the example of «Mathematics» discipline teaching for university students enrolled in «Biotechnology» and «Chemical technology of organic substances» specialties.Through mathematics course professional orientation to students future professional activities, to increase students' level of academic performance and to arouse interest in mathematics study, laying the foundation for scientific activity of applying mathematical methods in biotechnology.In the article there was conducted the analysis to identify the differences in volume of mathematical disciplines studied in the Republic of Kazakhstan, 4 universities were considered; 10 universities in the Russian Federation; 2 universities in the Republic of Belarus.The authors analyzed the content of textbooks, manuals and topics for compliance with the standard curriculum for considered specialties.The article presents ways to solve the problem for «Improving mathematical training quality».There are presented the results of students' training on the professionally-oriented program designed by the authors, which allowed to increase mathematical knowledge level.The authors consider the issue of the discrepancy between the number of allocated hours for mathematical disciplines study in the Republic of Kazakhstan and other countries of near and far abroad, which results in the problems of two diploma educations.
Stopping rules for a parallel genetic algorithm

A novel method for the implementation of parallel genetic algorithms is introduced to locate the global minimum of a multidimensional function inside a rectangular hyperbox. The algorithm relies on a client - server model and incorporates an enhanced stopping rule. A number of experiments were conducted in order to measure the effects in termination by using the termination rule either on server machine or on clients. The method is tested on a series of well - known test functions as well as neural network training and the results was compared against another parallel genetic algorithm method. The results from the experiments are reported in terms of test error and amount of generations.
Preliminary Insights on Investigating Existing Mobile Ethics through Mobile Learning for a Local Context

With the advancement of technology, considerable effort has been made to implement the utilization of mobile technology in learning, especially in STEM related subjects.However, this raises another issue in that the question of ethics when using these kinds of technology has not been addressed for the local context.Based on the current research, participants are concerned about the ethics of mobile technology.Thus, this research is conducted to investigate and identify the mobile ethics of students through mobile learning in a local context.The methodology used in this research is largely qualitative with students from a local university and analysed using thematic analysis.The preliminary findings shed light on the issue of ethics in mobile learning for the local context.