Reviewerly/exHarmony huggingface dataset:
STRATEGI PENJUALAN PEDAGANG PASAR MODERN BERBASIS CUSTOME DATA MINING

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;. &lt;/em&gt;&lt;em&gt;Business competition between merchant in the modern market which is is getting tighter needs effective marketing strategies. An effective sales strategy can be arranged based on the knowledge of consumers. The increasingly competitive business environment that causes businesses must continue to provide the best service to customers for the development and success of trading businesses in the present and who will date. This problem can be addressed properly if you have accurate information about customers. Accurate information about these consumers can be obtained through customer data collection methods that is called customer data mining. Customer data mining is a method of finding consumer data which includes various kinds of aspects ranging from characteristics to the way consumers purchase. Using the instrument questionnaire, this research is a consumer survey. This paper is a brief report on the results of consumer data excavation, analysis of the results of statistical data based on the results of consumer data processing, and formulation of recommendations regarding promotion and sales strategies for merchant in the modern market&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;. Persaingan bisnis antar pedagang yang semakin ketat menuntut pedagang manciptakan strategi penjualan yang efektif. Strategi penjualan yang efektif dapat disusun berdasarkan pengetahuan tetang perilaku konsumen. Lingkungan bisnis yang semakin kompetitif menyebabkan pelaku usaha harus terus berupaya memberikan pelayanan terbaik kepada konsumen demi perkembangan dan kelangsungan usaha dagang di masa sekarang dan yang akan dating. Masalah ini dapat diatasi dengan baik jika pedagang mempunyai informasi akurat mengenai perilaku konsumen. Informasi akurat mengenai perilaku konsumen tersebut dapat diperoleh melalui metode pengalian data konsumen (customer data mining). Customer data mining merupakan metode mencari data konsumen yang mencakup berbagai macam aspek mulai dari karakteristik sampai dengan perilaku pembelian yang dilakukan konsumen. Menggunakan instrumen kuesioner, penelitian ini merupakan seuatu survei konsumen. Tulisan ini merupakan merupakan laporan singkat mengenai hasil penggalian data konsumen, analisis hasil data statistik berdasarkan hasil pengolahan data konsumen, dan rumusan rekomendasi mengenai strategi promosi dan penjualan bagi pedagang pasar modern.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Modelling a Penicillin Fermentation Process Using Attention-Based Echo State Networks Optimized by Covariance Matrix Adaption Evolutionary Strategy

Echo state network (ESN) has emerged as an effective alternative to conventional recurrent neural networks due to its simple training process and good modelling ability for solving a variety of problems, especially time-series modelling tasks. To improve modelling capability and to decrease the reservoir topology complexity, a new attention mechanism based ESN optimised by covariance matrix adaption evolutionary strategy (CMA-ES) is proposed in this paper. CMA-ES is a stochastic and derivative-free algorithm for solving non-linear optimization problems. Attention mechanism is incorporated to guide ESN to focus on regions of interest relevant to the modelling task. The proposed optimised ESN with attention mechanism is used to model a fed-batch penicillin fermentation process and the results are better than those from the standard ESN and ESN with attention mechanism.
A genetic algorithm applied to optimal allocation in stratified sampling

Over the last decades, many researchers have studied and proposed new methods for the solution of the multivariate optimal allocation problem, which can be performed by choosing one of the following goals: (i) minimizing the weighted combination of relative variances, considering the sample size fixed or (ii) minimizing the sample size in a way that the coefficients of variation are lower or equal to the previously fixed coefficients of variation. Taking each goal into account, the present article proposes two heuristic algorithms that were developed by studying the optimization technique called biased random key genetic algorithm. The computational experiments reported in the end of this work indicate that the proposed algorithms can be a good alternative for the solution of this problem, when compared with the two methods from literature.
THE USE OF STORYTELLING METHOD TO IMPROVE STUDENTS' ABILITY IN WRITING STORIES AND TEACHER’S ABILITY IN TELLING STORIES

Abstract: This study is to improve children's story writing skills and to tell stories using the method of attracting kindergarten teachers in Depok city. This research is a form of methods classroom action research. The research subjects are kindergarten teacher in Limo and Cinere sub-district is 20 people.The research object is children's story writing skill and teacher performance telling story with interesting method of creative media. Data collection method using method of test, observation, and documentation Data analysis technique that is quantitative and qualitative technique by finding the average value of teacher's story The result of this research show that this can improve children's story writing skill and teacher story.The improvement of writing this story is: the story material of children, linguistic material, how to write stories, techniques and methods of interesting storytelling.The improvement is shown by the average value of children's story writing skills.A pre cycle from 41.55 to 53.35, an increase of 12.2.Cycle II to 79, an increase of 25.5 The ability to tell a story is indicated by the average pre-siklus value 50.05 to 62.3, an increase of 12.25. While the second cycle became 80.10, the increase to 17.8. Keywords: writing children story, story telling method, telling kindergarten teacher
TECHNICAL AND VOCATIONAL EDUCATION AND TRAINING (TVET): TEMPAT ASAS PEMBINAAN BUDAYA KESELAMATAN DI MALAYSIA

The purpose of this study was to evaluate occupational safety and health practices among students and lecturers of the Technical Education and Vocational Training Institute (TVET) in Malaysia from the point of view of safety practice, implementation level, compliance and cultural level of occupational safety and health practices. The methodology used in this study uses a quantitative approach. The study was carried out in two parts, Part A was about the personal information of the respondents and Part B was the survey using a questionnaire with respondents from several Technical Education and Vocational Training institutes (TVET) such as Vocational College (KV), Industrial Training Institute (ILP) , National Youth Skills Institute (IKBN) and Mara Skills Institute (IKM). Descriptive statistics tests used to describe occupational safety and health practices, levels of occupational safety and health, occupational safety and health compliance and occupational safety and health culture, found that they applied high level of practice, safety implementation. This means that almost all students and faculty agree that compliance with occupational safety and health practices is of utmost importance and practiced. From this culture of safety practices will create a safe work culture, which will indirectly create a safety culture. An organization that provides a safe environment will benefit workers in their work activities
Data Analytics of Real-World PV/Battery Systems

This paper presents data analytic results based on four-year data from real-world 1.6 kW photovoltaic (PV) panels and 20 kWh Lithium-ion batteries installed at St. Petersburg Florida. The 1-minute interval raw data are collected and stored in spreadsheets. We present the raw data related to power outputs from PVs and batteries as well as estimated state-of-charge (SOC) of batteries. Data analysis is conducted using Python sqlite3 and Pandas to examine histograms of PV daily energy output and battery degradation.
The use of Infographics as an educational tool for the upcoming digital transition

Infographics have been proved as one of the most efficient visual tools to convey messages in a variety of applications and contexts. From road signage to data visualization and education, infographic designers manage to give a visual explanation for less or more complex concepts through a decreased use of detail, visual elements and text. Infographics can be designed in more than one types but static and animated types are the most frequently used. Whether the two types mentioned are equally effective in achieving a learning outcome, is still a subject of research. Studies that have compared static and animated infographics give different findings, preventing a secure conclusion for both of them. In addition to the above infographics have been used as visual rhetorical figures for creating meaning that persuade and lead to conclusions, perceptions, and emotions that could, in some cases, have a behavioral impact.The prementioned use of infographics as a means of knowledge transfer has been widely used in recent years in the transmission of information to social groups that may have little or no familiarity with the innovation of ICT and the processing of complex technological advancements. Technological developments and achievements such as Smart Cities, 5G, Internet of Things, Cloud Computing, Blockchain, Artificial Intelligence, etc. will change our lives drastically soon. For that reason, organizations, companies and research centers are trying to communicate the imminent changes with citizens - potential consumers - and to inform them of the upcoming digital transition that many describe as the 4th Industrial Revolution, in a simple and brief way. This paper seeks to identify both the positive effects of infographics and the dangers of such simplification and homogenization through paradigms, especially regarding the cultural characteristics of different sites and communities.
DeepText: Detecting Text from the Wild with Multi-ASPP-Assembled DeepLab

In this paper, we address the issue of scene text detection in the way of direct regression and successfully adapt an effective semantic segmentation model, DeepLab v3+ [1], for this application. In order to handle texts with arbitrary orientations and sizes and improve the recall of small texts, we propose to extract features of multiple scales by inserting multiple Atrous Spatial Pyramid Pooling (ASPP) layers to the DeepLab after the feature maps with different resolutions. Then, we set multiple auxiliary IoU losses at the decoding stage and make auxiliary connections from the intermediate encoding layers to the decoder to assist network training and enhance the discrimination ability of lower encoding layers. Experiments conducted on the benchmark scene text dataset ICDAR2015 demonstrate the superior performance of our proposed network, named as DeepText, over the state-of-the-art approaches.
Implementation and Assessment of a Blended Learning Environment in Postgraduate Education

The article is devoted to the description of information technology (IT) tools in teaching foreign languages to PhD students in a digital environment. The authors describe the methodological basis for designing an assessment system that is relevant to the specific character of digital education, clarify the main functions of new assessment tools and determine the peculiarities of this activity in connection with information technology. The article deals with explaining the use of IT tools with an emphasis on the study of the educational content of the student and the development of personal soft skills. The results include monitoring the performance achieved in the learning process, authors’ observations and research based on post graduates’ outcomes and aimed at monitoring the development of their own perspective. The findings were confirmed by prognostic simulation and experimental learning. According to the authors, the use of information technology tools, as well as technology-based assessment, is based on principles which tend to challenge traditional learning and teaching practices and, thus, affect education policies and systems. On the other hand, piloting this technology has outlined a promising range of problems that need to be addressed in further research related to higher education.&#x0D; Keywords: digital environment, technology-based assessment, blended learning, a postgraduate course, soft skills, professional development
The TICs and their incidence to develop didactic resources within teaching planning

Using ICT in teaching practice, it helps to contribute knowledge through digital tools that meet the visible needs of students. These have immersed in a constant technological evolution in which they are recognized as digital natives, ICTs have an impact on the development of digital teaching resources, due to the different gamification platforms that are developed in the network, and these means allow planning innovations teachers and generate meaningful learning through recreational activities. This research work shows the influence of TICs, in the teaching-learning process as a significant and important element in the educational field. However there are teachers who do not know these methods of illustration, which have traditionalist practices included In the curricular planning that do not contribute to the proposed objectives, there are also teachers with extensive knowledge in this area, who should demonstrate the benefit of using Web 3.0. In the consolidation of knowledge and contribute through training aimed at the teaching staff to socialize this new methodology.
THE EXPLORATION OF COHESIVE DEVICES IN SYNOPSIS WRITINGS PRODUCED BY ENGLISH STUDY PROGRAM STUDENTS OF UNIVERSITAS GADJAH MADA

Cohesive devices in a piece of writing serve to unify sentences within a text. Building upon Halliday and Hasan’s (1976) Cohesion in English, this study aimed to identify and classify cohesive devices and also to discover the effects of cohesion overuse and underuse found in synopsis writings written for Book Report 1 and Book Report 2 assignment. The data were collected from 40 synopsis writings produced by the 4th and 5th semester students of English Study Program of Universitas Gadjah Mada. The data analysis applied a qualitative method and the data collection used purposive sampling technique.&#x0D; The findings showed that reiteration was the most prominently used type and followed by reference, conjunction, and collocation with the frequency 2,193 (56.94%), 1,405 (36.48%), 64 (2.92%), and 252 (6.54%) times respectively. Other types with low occurrences were elliptical and substitutional cohesion that occurred 3 (0.078%) and 2 (0.051%) times respectively. In some cases, students tended to overuse and underuse cohesive devices. In terms of cohesion overuse, in some cases, the use of reiteration leading to lexical redundancy and monotonous sentences. And in cohesion underuse, the lack of using personal reference and temporal conjunction yielding ineffective and less cohesive sentences.&#x0D; Keywords: Cohesive Devices; Discourse Analysis; Synopsis Writings.
Improving Image Caption Performance with Linguistic Context

Image caption aims to generate a description of an image by using techniques of computer vision and natural language processing, where the framework of Convolutional Neural Networks (CNN) followed by Recurrent Neural Networks (RNN) or particularly LSTM, is widely used. In recent years, the attention-based CNN-LSTM networks attain the significant progress due to their ability of modelling global context. However, CNN-LSTMs do not consider the linguistic context explicitly, which is very useful in further boosting the performance. To overcome this issue, we proposed a method that integrate a n-gram model in the attention-based image caption framework, managing to model the word transition probability in the decoding process for enhancing the linguistic context of translation results. We evaluated the performance of BLEU on the benchmark dataset of MSCOCO 2014. Experimental results show the effectiveness of the proposed method. Specifically, the performance of BLEU-1, BLEU-2, BLEU-3 BLEU-4, and METEOR is improved by 0.2%, 0.7%, 0.6%, 0.5%, and 0.1, respectively.
Research of Distributed Deceptive Defense System of Civil Aviation Information Network on SDN

The software definition network (SDN) provides a high degree of openness and programmability for the network by separating data and controlling platforms. In view of the lack of the network bottleneck in the SDN active defense framework in the existing work, the SDN-based distributed deception defense system DDS for civil aviation information network is put forward. First, a multi-layer partitioning algorithm is used to divide it into different regions according to the device attributes of the civil aviation information physical network. On this basis, different deceptive topologies and deception strategies are designed for each area. Under the assumption that the attacker has successfully invaded the network, but the hidden host position is not clear, the various regions in the system perform the cheating task according to the corresponding deception topology and the policy. The experiments show that the system can effectively interfere with the investigation behavior, gain time for the defense, and the area division divides the number of nodes into 3 areas with only 11.9 ms.
Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QA

Community question answering (CQA) systems aim to provide users with high-quality answers. Nevertheless, unreliable answers are often returned to users in CQA systems, and the phenomenon causes that users have to browse multiple answers to find the best one. To improve such problem, we design a novel scheme, named PW-CrossCMN. The scheme ranks the candidate answers by pair-wise approach based on numerous historical documents. In the scheme, we apply the preference relationship into deep learning framework. Specifically, the scheme consists of two phases. In phase 1, the scheme extracts the features via automated feature engineering to construct the preference vectors and then divides the vectors into balanced positive and negative training samples based on the preference relationship. In phase 2, we build the CrossCMN model, which implements the multi-network parallel convolution and the cross forward propagation of full-connected layers, to achieve training and prediction tasks. Moreover, the multi-layer perception (MLP) is introduced to extract combination features in the prediction module. We perform extensive experiments on two typical datasets, and the results show that our scheme has more excellent performance in answer ranking task compared with several state-of-the-art baselines. In addition, we have released the relevant codes.
PENGUKURAN KINERJA KARYAWAN DENGAN HUMAN RESOURCES SCORECARD DI PONDOK PESANTREN ASSYAFIIYAH TAMBERU BATUMARMAR PAMEKASAN

Pondok Pesantren (Islamic Boarding School) is one of the oldest pedagogical institutions in Indonesia. Pondok Pesantren Assyafiiyah is one of Islamic BoardingSchools located in the area of Madura. To be a productive Islamic Boarding School (i.e.a boarding school which fits the need of pesantren), Assyafiiyah Islamic Boarding School needs to measure the performance of the employee. In this case, it is known as Board Performance which involves human resources, strategy, and performance. To produce a superior educational institution, the implementation of Human Resource Scorecard method that has a positive and significant effect on the institution of Assyafiiyah Islamic Boarding School is very necessary. It is used as an analysis of human resource performance. It is expected that this kind performance measurement system (i.e. Human Resource Scorecard) is able to provide the best solution in improving employee performance. Try Out is given and conducted on the institution to measure the performance system achievemet of its human resources. Therefore, the Key Performance Indicators which does not reach the target can be discovered. In other words, such kind of Try Out can be used to analyze the necessary refinement and improvement of the Key Performance Indicators previously mentioned. Based on the status quo, there are two major problems in this research: 1) how is the mapping of Human Resourse Scorecard?; and 2) what are the factors influencing the optimalization of Board Performance in Assyafiiyah Islamic Boarding School through Human Resource Scorecard?
AN ANALYSIS OF STUDENT SPEAKING SKILL USING ROLE PLAY METHOD

One of the skills that must be mastered in learning English is speaking. However, many people do not have the confidence to speak English because of several problems, both in grammar, vocabulary, pronunciation or fluency. One of the many methods that can improve speaking skills is role-playing. The purpose of the study is to find out whether role-playing techniques can improve students' speaking skill or not. It turns out that from several opinions of students that the speaking skills of students can practice pronunciation, and can increase vocabulary. Based on the data, it can be concluded that role-playing techniques can improve students' speaking skills. Keywords: Speaking Skills, Role Play
IMPROVING STUDENTS’ INTEREST BY USING PICTURE MEDIA AT TK NUR ASSALAM

The purpose of this study is to improve students' interest in English vocabulary through picture media in TK Nur Assalam. This research is a Classroom Action Research (CAR). The participants of this research were 6 students. The results obtained from efforts to the improving students interest in English vocabulary using the picture media involving active learners in the learning process. The role of picture media in learning activities is very important for children, especially in the next education level. Teaching and learning activities in early childhood will quickly develop if parents and teachers intensive to develop it. There are several attempts to create a sense of pleasure in early childhood by using picture media in the learning process. From the result of research indicate that when pre-action take result (15%). In cycle I, it increased to (55%) sufficient criteria. In cycle II, it increased again to (85%) good criteria. So, the increase that occurred from the pre-action to the cycle I that is (40%). The increase from cycle I to cycle II that is (30%). And increase from pre-action to cycle II that is (70%). From the research results obtained, then to the improving students interest in English vocabulary can be improved by using picture media in the learning process.Keywords : Students’ Interest, Vocabulary and Picture Media
AN ANALYSIS OF STUDENTS’ ERROR IN WRITING SIMPLE SENTENCES

Language is needed whether it is written or spoken. Language is very necessary for people as a mean of communication. The objective of this research was to analyze the students’ ability in writing simple sentences in past tense. This research used qualitaive research and the data were analyzed to investigate the second year of students’ ability in writing English simple sentences. The participant of this research was consisted of 32 students. Data analysis shows that 27.81% the students have difficulties in structure English simple sentence in past tense. Furthermore 38.12% the students have difficulties using regular verbs in past tense, whereas 71.8% the students have difficulties using irregural verbs in past tense. Over all, the students’ ability in writing English simple sentence in past tense can be considered in medium level. This is due to their confusion in using verb (regular verbs and irregular verbs).