Reviewerly/exHarmony huggingface dataset:
Meningkatkan Keaktifan dan Hasil Belajar IPS Melalui Metode Time Token Siswa Kelas VIII D SMP Negeri 24 Kota Jambi

This research was motivated because of the students of class VIII D of SMP 24 Jambi tend to be passive and challenging to be invited to be more active, creative, and confident. For example, students have not dared to ask if they do not understand. In addition to that, the studentswere silent and did not express their opinionsin a class discussion. Thus, the learning processof the classroom was less effective and conducive. One of the steps taken is to use the Time Token learning method. In this method, students are required to be more active in expressing their opinions and to be able to listen to the opinions of others. The purpose of this study is to find out how big the effect of the Time Token method can improve student activity and learning outcomes in social studies. This research is a class action research (PTK) with the class VIII D as the subject in the oddsemester. Data collection methodologies used in this study are experiment and observation methods. The collected data was analyzed by qualitative descriptive analysis. The results showed that there was an increase in activity and learning outcomes in social studies subjects after using the Time Token learning method during the implementation of the action.The average activity of the first cycle was 69.82% and it increased to 88.42%in the second cycle. Furthermore, the increase in student learning outcomes that have fulfilled the completeness value was of 7.89%in the first cycle butin the second cycle there was an increase, which became to 92.11.
Parental Reading Beliefs and Children's Reading Performance

Abstract&#x0D; This study put its interest in investigating parental reading beliefs and children’s reading performance. It also sought to determine whether there is an association between parental reading beliefs and children’s reading performance. This research employed a quantitative research design and it used a quota sampling technique to select the respondents. A total of 30 parents from Sekolah Kebangsaan Sungai Pusu Kuala Lumpur answered a questionnaire about parental reading beliefs. The questionnaire used was adapted from a study by DeBaryshe and Binder (1994). In order to measure the children’s reading performance, the parents were asked to state their children’s comprehension marks towards the end of the questionnaire. The questionnaire consisted of five factors related to parental reading beliefs which were teaching efficacy, positive attitude, verbal participation, reading instruction and basic knowledge. The data collected was analysed using Pearson Correlation. The results showed that all the factors under parental reading beliefs had positive relationship with children’s reading performance except for one factor which was reading instruction. All of them were not significant and as this study was a preliminary study, hence the results should not be generalised due to number of reasons.&#x0D; Keywords: Parents, reading beliefs, reading performance, primary school, quantitative research
The essence of concepts: “competence”, “communication”, “communicative competence ”in the psychological and pedagogical literature

The article is based on the analysis of psychological and pedagogical literature and understanding of the essence of the content of such concepts as: "competence", "communication", "communicative competence".Numerous positions of researchers, authors and scientists to the basics of the content of the above concepts are analyzed.Key words:
A Transparent Referendum Protocol with Immutable Proceedings and Verifiable Outcome for Trustless Networks

High voter turnout in elections and referendums is very desirable in order to ensure a robust democracy. Secure electronic voting is a vision for the future of elections and referendums. Such a system can counteract factors that hinder strong voter turnout such as the requirement of physical presence during limited hours at polling stations. However, this vision brings transparency and confidentiality requirements that render the design of such solutions challenging. Specifically, the counting must be implemented in a reproducible way and the ballots of individual voters must remain concealed. In this paper, we propose and evaluate a referendum protocol that ensures transparency, confidentiality and integrity, in trustless networks. The protocol is built by combining Secure Multi-Party Computation (SMPC) and Distributed Ledger or Blockchain technology. The persistence and immutability of the protocol communication allows verifiability of the referendum outcome on the client side. Voters therefore do not need to trust in third parties. We provide a formal description and conduct a thorough security evaluation of our proposal.
Decision-tree-based Mapping of Erosion-prone Areas in Hilly Regions of Kangwon Province, North Korea

After the division of the Korean peninsula, North Korea overexploited their natural resources especially the forest.It lost about 23% of the total forest from 1990 to 2011, which continues today.However, the country is inaccessible to monitor such changes.Hence, in this study, we aim to use Landsat 8 imagery with the aid of Google Earth to map erosion-prone areas in a subset area of Kangwon Province, North Korea.Pruned Decision Tree (DT) modeling was used in selecting the optimum ratio/index and threshold based on ground truth points extracted for Landsat scenes from May, October, and both months combined.Pruned DT resulted in applying the normalized green, near-infrared (NIR), green ratio vegetation index (GRVI), red-green ratio index (RGRI), infrared percentage vegetation index (IPVI), and slope with the optimum threshold for the segmentation of the study area with reasonable accuracy.The result shows that combining the ground truths from different seasons resulted in rules giving higher overall accuracy (OA) and kappa coefficient than the individual rule results.However, interchanging ground truths of different months is not effective.On average, out of the total land, high and medium erosion-prone areas are 15 and 20%, respectively.The remaining 65% is covered by forest.The result can be useful for estimating loss and restoring resources such as forest and land in the future.
An Analysis of Language Skills’ Proportion in the English Textbook Grade XII Published by Kemendikbud 2014

The design of this research was descritive quantitative. It was aimed to find out the suitability of english textbook with the curriculum and the proportion of the language skills’ in the English textbook grade XII published by kemendikbud 2014. The subject of this research was the English textbook grade XII for 1 year , consist of 16 chapters. The data was collected by using evaluation checklist that proposed by syllabus in curricullum 2013 and the expert (Ur (1996)). The result showed that the English Textbook Grade XII for senior high school published by Kemendikbud 2014 is categorized into “very good” category. From 27 learning objectives (KD) that proposed by the curriculum 2013 in syllabus, 22 of it is covered to the English textbook. The writing skill has the highest proportion it is 38 %; the second is reading skill has 30 %; the third is speaking skill has 21 %; and the last is listening skill has 11 %.Consequently, it can be conclude that it is suit to the standard from the government, to make the students reach the functional level of literacy and used the text – based teaching and focuss on the text.
Speech Recognition Evaluation of a State-Of-The-Art Smartglass in the Use Case Pediatric Resuscitation.

Emergencies involving children are rare events. Due to the associated lack of routine and special features in pediatric resuscitation, it is prone to errors and the results are unsatisfactory. One way of tackling this problem is to use assistance services. However, due to the process, these services cannot be easily integrated. One possibility is the use of Head Mounted Displays. These are often controlled via voice commands. With medical terms, the voice control implemented as standard can quickly become unusable. A wearable app was therefore developed for this paper and evaluated according to ISO/IEC 30122-2:2017 to determine the extent to which the voice control of a state-of-the-art smartglass works in quiet and noisy conditions for use during a resuscitation. Since the commands were well understood and the app could be reliably controlled, the use of voice control in an assistance service is conceivable.
PENGGUNAAN MEDIA AUDIO VISUAL UNTUK MENINGKATKAN HASIL BELAJAR PESERTA DIDIK DALAM MEMAHAMI KISAH KETELADANAN WALI SONGO

THE AUDIO-VISUAL MEDIA IN IMPROVE STUDENT LEARNING OUTCOMES TO UNDERSTAND STORY OF WALISONGO RELIGION This research is a Classroom Action Research (CAR) conducted at primary school (SD Negeri Kampung Sawah) in Bogor Utara District at Semester 2 of the 2017-2018 Academic Year. The research was conducted in two cycles, each cycle consisting of four stages, namely: planning, implementation, observation and reflection. The minimal completeness criteria is when a minimum score of 75(quite active). Benchmarks for success in this class action research are if the learning outcomes of PAI learners grade IV B SDN Kampung Sawah District Bogor Utara Bogor City in the last cycle if the KKM 75 Students who reach the KKM are above 75%, Students are active in learning above 75% Activity teachers during the learning process above 75% The analysis found that there was an increase in the activity and competence of teachers in preparing the Student Worksheet from cycle I to cycle II. Achievement of performance indicators is in action II. Thus, it can be said that cluster activities can improve the competence of students in Kampung Sawah State Primary School, North Bogor District, Bogor City Semester 2 2017-2018 Academic Year. The teacher gave a positive response to the results of the workshop in the Cluster. The results showed that audio-visual media can improve student learning outcomes, especially about understanding the exemplary story of Wali Songo in Kampung Sawah State Elementary School. Thus it can be recommended to providers, friends or other researchers to use audio-visual media to improve student learning outcomes that are carried out continuously. The use of audio-visual media can improve student learning outcomes, especially in public elementary schools in improving student achievement
Prediksi Harga Saham Harian Menggunakan Cascade Forward Neural Network (CFNN) Dengan Particle Swarm Optimization (PSO)

Artificial Neural Network (ANN) is an information-processing system which characteristics and how it worked are similar to human brain.ANN can be used as one of the forecasting method without having to fulfill various assumption suc as ARIMA method.Feed Forward Neural Network (FFNN) is one of the ANN model that have a simple network architecture, where the connection between input and output occurs indirectly through the hidden layer.Cascade Forward Neural Network (CFNN) is ANN that its architecture similar to Feed Forward Neural Network (FFNN), but there is also a direct connection between input layer and output layer.CFNN can be combined with various optimization method such as Particle Swarm Optimization (PSO).Particle Swarm Optimization (PSO) inspired by flocks of birds flying in groups.Combination between Cascade Forward Neural Network (CFNN) and Particle Swarm Optimization (PSO) aimed to obtain optimum weight that minimize error.In this study, the data used was daily stock price of PT.XL Axiata Tbk.Based on the calculation results using CFNN with PSO obtained MAPE of training data equal to 1,8248% and MAPE of testing data equal to 2,3136%, which MAPE value is still less than 10% so the accuracy of the model is considered very good.
KORELASI KETERAMPILAN MEMAHAMI TEKS CERPEN DENGAN KETERAMPILAN MENULIS TEKS CERPEN SISWA KELAS XI SMA NEGERI 2 BATANG ANAI

ABSTRACT This study had three proposes. First, describing the students’ understanding of short story of eleventh grade students of SMAN 2 Batang Anai. Second, describing the students’ writing ability of short story. Third, describing the correlation between students’ understanding short story and their writing ability of short story of eleventh grade students of SMAN 2 Batang Anai. The type of this research was quantitative with descriptive method. The design used in this study was correlational design. The population of this study was the eleventh grade students of SMAN 2 Batang Anai academic year 2018/2019, which was 195 students. The sample in this study was determined by propotional random sampling of 20% of participation, which is 40 students. The results of this study were devided into three. First, the ability to understand the short story text of eleventh grade students of SMAN 2 Batang Anai was in accordance with good qualifications (B). Second, the students’ writing ability of eleventh grade students of SMAN 2 Batang Anai in accordance with the qualifications weremore than enough (LdC). Third, there was a correlation between students’ understanding short story and their writing ability of short story of eleventh grade students of SMAN 2 Batang Anai with a degree of freedom n-1 at the level of 95% confidence. Tcount (4.50) was biggerthan t table (1.68), that was tcount&gt; t table (4.50&gt; 1.68) thus H0 was rejected and H1 was accepted because the test results prove that tcount was bigger than t table. Kata Kunci: korelasi, keterampian memahami teks cerpen , menulis teks cerpen
Multi-source Log Comprehensive Feature Extraction Method Based on Restricted Boltzmann Machine in Power Information System

In order to excavate security threats in power grid by making full use of heterogeneous data sources in power information system, this paper proposes a multi-source log comprehensive feature extraction method based on restricted boltzmann machine (RBM). Firstly, the restricted boltzmann machine neural network is used to normalize coding all kinds of log information. Then, the contrast divergence fast learning method is used to optimize the network weight, and the stochastic gradient rise method is used to maximize the logarithmic likelihood function for the training and learning of the RBM model. The data dimension reduction is realized by processing the normalized coded log information. At the same time, the comprehensive features are obtained, which can effectively solve the problems caused by the heterogeneity of log data. The experimental environment was set up in the power information system, and the comprehensive feature extraction and algorithm verification of the security log were carried out. Experimental results show that the proposed method can be applied to all kinds of security analysis, such as clustering analysis, anomaly detection, etc., and it can effectively improve the speed and accuracy of power information system security situation prediction.
Prediction of Dengue Hemorrhagic Fever Cases Based on Weather Parameters Using Back Propagation Neural Networks (Case Study in Pontianak City)

Research has been conducted by predicting cases of dengue hemorrhagic fever based on weather parameters. The data used are weather parameters in the form of air temperature data, air humidity, rainfall, duration of solar radiation and wind speed as input data and data on dengue hemorrhagic fever cases as the target data. This study aims to see the confirmation of dengue hemorrhagic parameters in Pontianak. The benefit in the field of education is that students and teachers are aware of the dangers of dengue because it can cause death. The method used is back propagation neural networks with the best network architecture in predicting cases of dengue hemorrhagic fever are [50 40 30 1] and binary sigmoid activation function, bipolar sigmoid and linear function. The activation function will determine whether the signal from the neuron input will be forwarded to other neurons and is also used to determine the output of a neuron. Network training correlation value is 0.9995 (very strong correlation) with MSE 0.0001 and network testing is 0.9325 (very strong correlation) with MSE 1.61. Determination coefficient serve as accuracy with values obtained is 0.85, which means that 85% of weather parameters can be used as input in predicting the incidence of dengue hemorrhagic fever in Pontianak City.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BALITA SEHAT SE-KECAMATAN SEI LEPAN MENGGUNAKAN METODE MULTI ATRIBUTTE UTILITY THEORY (MAUT) (STUDI KASUS: PUSKESMAS DESA LAMA)

All hopes parents want a healthy toddler, but not all parents, especially mothers, understand about toddler health, how to care for toddlers, nutritional intake or nutritional quantities for toddlers, not all parents, especially mothers, understand that, so this causes toddlers to not get good health and an adequate dose of nutrition from mothers.To overcome the above problems, the Old Village Health Center made a selection program for healthy toddlers from Sei Lepan sub-district in order to help mothers understand more about toddler health, about the nutrition intake of toddlers and also so that the Old Village Health Center knows how many healthy toddlers there are in the District Sei Lepan, but the selection is still manual which requires a very long time.In order to avoid the above problems, it is necessary to build an application for a Healthy Toddler Selection Decision Support System in Sei Lepan District by using the Multi Attribute Utility Theory (MAUT) method, so that it can help the Old Village Health Center in the assessment process to make it more accurate and the decisions made are satisfactory.Keywords: Decision Support System, Healthy Toddler Selection, MAUT Method.
Improving word embeddings projection for Turkish hypernym extraction

Corpus-driven approaches can automatically explore is-a relations between the word pairs from corpus. This problem is also called hypernym extraction. Formerly, lexico-syntactic patterns have been used to solve hypernym relations. The language-specific syntactic rules have been manually crafted to build the patterns. On the other hand, recent studies have applied distributional approaches to word semantics. They extracted the semantic relations relying on the idea that similar words share similar contexts. Former distributional approaches have applied one-hot bag-of-word (BOW) encoding. The dimensionality problem of BOW has been solved by various neural network approaches, which represent words in very short and dense vectors, or word embeddings. In this study, we used word embeddings representation and employed the optimized projection algorithm to solve the hypernym problem. The supervised architecture learns a mapping function so that the embeddings (or vectors) of word pairs that are in hypernym relations can be projected to each other. In the training phase, the architecture first learns the embeddings of words and the projection function from a list of word pairs. In the test phase, the projection function maps the embeddings of a given word to a point that is the closest to its hypernym. We utilized the deep learning optimization methods to optimize the model and improve the performances by tuning hyperparameters. We discussed our results by carrying out many experiments based on cross-validation. We also addressed problem-specific loss function, monitored hyperparameters, and evaluated the results with respect to different settings. Finally, we successfully showed that our approach outperformed baseline functions and other studies in the Turkish language.
Development and Evaluation of Enset Fermenting Box

Enset (Enset ventricosum) is a traditional staple crop or co-staple food serves as food security for >20% Ethiopian population.It is a multipurpose crop used as human food, animal feed, to shade other crops like coffee and used for decoration and it is a drought resistant crop which makes it risk avoidance crop.The major foods obtained from enset are kocho, bulla and amicho.Kocho needs a lengthy period of processing and preparation, which is carried out by women.Enset fiber is used to make sacks, bags, ropes, mats, construction material and sieves.Fresh enset leaves are used as food wrappers, serving plates and for stall feeding of cattle and used for medicines.The objective of the study was to develop and evaluate enset fermenting box in one of enset growing areas of South West Shewa Zone, Ethiopia.Traditionally, enset fermentation takes place in an earthen pit and on surface.Traditional processing methods causes contamination by flood, dust, rodents and insect, colony infestation, exposed for theft, difficult to manage, takes long period of fermentation.All the necessary components of enset fermenting box was designed by considering average consumption per family size using CATIA V5R19 software.Timber was used to make a box like structure.The inner part of box was totally covered by polyethylene plastic which was recommended for food packing and processing in order to avoid water loss from the system & interferences with the surrounding air in which the fermentation process takes place.Crushed enset was added in all separated compartment of the implement at the time being harvested according to quality requirement.It was allowed to ferment a process, which may last 2-4 months and then, opened at intervals to allow aeration.This was repeated until the desired fermentation quality was reached or the food was needed.Finally, the fermented starch was dried and treated as flour.Using SPSS statistical software version 20 a one-way analysis of variance (ANOVA) was employed to test for significant differences (p < 0.05) in the scores of sensory attributes (flavor, taste, color, and overall acceptability) between enset fermented in new technology for 120 days (A) and enset fermented in new technology for 60 days (B) and enset fermented by traditional method for 120 days (C).Following the same harvesting and processing method and the same varieties of enset, kocho powder samples was taken from the sample and compared with both traditional and new enset fermenting technology.Enset flat bread samples mean value of color, odor, flavor, overall acceptance is (A) 7.69, 7.92, 8, 7.92 and for (B) 8.58, 8.33, 7.67, 8.17 and for (C) 6.42, 6.75, 6.67 and 6.58 respectively.Sample Enset fermented in new technology for 60 days B) obtained the highest mean scores for its appearance as compared to other samples.Mean score for flavor was lowest for sample Enset fermented in new technology for 60 days (B) and highest for sample Enset fermented in new technology for 120 days (A).
Pengenalan Makroinvertebrata Bentik sebagai Bioindikator Pencemaran Perairan Sungai pada Siswa di Wonosalam, Mojokerto, Jawa Timur

The river in Wonosalam is upstream of the rivers that flow in the Mojokerto and Jombang regions. As an upstream area, monitoring water quality of the river is needed so that pollution can be detected early. Water quality monitoring activities can be carried out using benthic macroinvertebrates indicator. The purpose of this PKM activity was to introduce water quality monitoring methods used benthic macroinvertebrates as bioindicators for students in the Wonosalam sub-district area. The main target of this activity is students of SLTPN 1 Wonosalam. The method used was lecturing, direct practicing, and discussion. Introduction of the benthic macroinvertebrates as a bioindicator was carried out very well: the students were very enthusiastic in the implementation activities from beginning to end, the students were quite active in the sampling process until the identification process, there was an increase in the students knowledge about bioindicators and the students were able to distinguish groups, EPT (Ephemeroptera, Plecoptera, and Trichoptera) and non-EPT. Based on benthic macroinvertebrate sampling the result showed that the value of the Sumber Bengawan river are 6.25, indicated that Sumber Bengawan river was not polluted.