Reviewerly/exHarmony huggingface dataset:
An Insider Threat Categorization Framework for Automated Manufacturing Execution System

Insider threats become one of the most dangerous threats in the cyber world as compared to outsider as the insiders have knowledge of assets. In addition, the threats itself considered in-visible and no one can predict what, when and how exactly the threat launched. Based on conducting literature, threat in Automated Manufacturing Execution Systems (AMESs) can be divided into three principle factors. Moreover, there is no standard framework to be referring which exist nowadays to categorize such factors in order to identify insider threats possible features. Therefore, from the conducted literature a standard theoretical categorization of insider threats framework for AMESs has been proposed. Hence, three principle factors, i.e. Human, Systems and Machine have considered as major categorization of insider threats. Consequently, the possible features for each factor identified based on previous researcher recommendations. Therefore, via identifying possible features and categorize it into principle factors or groups, a standard framework could be derived. These frameworks will contribute more benefit specifically in the manufacturing field as a reference to mitigate an insider threat. &#x0D; Keywords—automated manufacturing execution systems insider threats, factors and features, insider threat categorization framework.
Filling the Mind: Cortical Knowledge Uploads, Didactic Downloads and the Problem of Learning in the Future

Many science fiction narratives employ the device of instant knowledgeCortical Knowledge Uploads (CKUs) as knowledge . In this chapter, that device is considered as very much a problem of the present for the study of childhood. Childhood is explored as a machinic production involving the technical and instrumental processes of electronically constructing the child’s knowledgeCortical Knowledge Uploads (CKUs) as knowledge of the world, and of themselves. As such, this chapter looks to the study of pedagogyLearning and pedagogy alongside the study of childhood, engaging with the ideas of future learningCortical Knowledge Uploads (CKUs) and learning from science fiction that has very real implications for the experience of childhood now. The particular experience of childhood that we are interested in is the child as learner. This learner is in many ways constructed by the institutions of schooling. And yet, in the twenty-first century, digital mediations of the child are beginning to assert some kind of pressure on the structures of schooling and wider educational systems. The chapter engages with problematic relationships that emerge in the science fiction imaginations of the future for learningCortical Knowledge Uploads (CKUs) and learning and education.
Reducing Bitrate and Increasing the Quality of Inter Frame by Avoiding Quantization Errors in Stationary Blocks

In image compression and video coding, quantization error helps to reduce the amount of information of the high frequency components.However, in temporal prediction the quantization error contributes its value as noise in the total residual information.Therefore, the residual signal of the inter-picture prediction is greater than the expected one and always differs zero value even input video contains only homogeneous frames.In this paper, we reveal negative effects of quantization errors in inter prediction and propose a video encoding scheme which is able to avoid side effects of quantization errors in the stationary parts.We propose to implement a motion detection algorithm as the first stage of video encoding to separate the video into two parts: motion and static.The motion information allows us to force residual data of non-changed part to zero and keep the residual signal of motion regularly.Beside, we design block-based filters which improve motion results and filter those results fit into block encode size well.Fixed residual data of static information permits us to pre-calculate its quantized coefficient and create a bypass encoding path for it.Experimental results with the JPEG compression (MJPEG-DPCM) showed that the proposed method produces lower bitrate than the conventional MJPEG-DPCM at the same quantization parameter and a lower computational complexity.
Indonesian Teacher’s Code Switching and Mixing in EFL Context

&lt;p&gt;&lt;em&gt;The objectives of research are to investigate the frequency of teacher’s code switching and code mixing, the function of teacher’s code switching and code mixing in EFL Classroom, and teacher and students’ attitude toward it. This research focuses on analyzing EFL teacher’s utterances at 10&lt;sup&gt;th&lt;/sup&gt; grade and by using Poplack, Musyken and Wardhaugh theory. The method of this study is case study. The data of the research is in the form of written recording utterances during teaching and learning process in the classroom, interview and questionnaire. Based on the analysis of the data, reveals that there are three major conclusions about teacher’s code switching and code mixing in EFL classroom. First, code switching and code mixing exist in EFL classroom. Second, the use of code switching and code mixing in EFL classroom has various functions includes topic switch, affective, repetitive, directive and phatic function, as proposed by Sert (2005) and Apple &lt;/em&gt;&lt;em&gt;and&lt;/em&gt;&lt;em&gt; Musyken (2006). Third, the data from the questionnaire reflects the positive attitude toward the use of code switching and code mixing along teaching and learning activities in the classroom. While both teacher and students agreed that code switching and code mixing can promote better understanding and be effective to make students understand their teacher’s practice instructions and material explanation. &lt;/em&gt;&lt;/p&gt;
Examining the Role of Video-Recorded Speaking Task in Enhancing Students’ Oral Productive Skill

ABSTRACTThe teaching of speaking in Indonesian schools faces some problems such as limited amount of practice and feedback and students’ anxiety. Addressing this issue, therefore, this study was aimed at examining the role of video-recorded speaking task in improving students’ oral productive skill measured through a speaking test and understand students’ response on the use of the task through a questionnaire. It was a quasi-experimental study, the sample of which was 87 tenth grade students of one senior high selected through a purposive sampling technique and randomly assigned into experimental and controlled classes. The test served as a pretest administered at the beginning and as a posttest distributed at the end of the treatment, which data were analyzed using t-test. The effectiveness of the treatment was analyzed from the posttest and gained scores, which findings revealed higher achievements of the experimental group. In addition, students were happy to do this task. These findings mean that video-recorded speaking task play roles in enhancing students’ oral productive skill and support previous studies on the effectiveness of video-recorded speaking tasks. ABSTRAKPengajaran berbicara di banyak sekolah di Indonesia menghadapi berbagai masalah, diantaranya terbatasnya waktu untuk praktik keterampilan berbicara dan feedback oleh guru serta keengganan siswa untuk berlatih. Untuk menjawab tantangan, studi ini ditujukan untuk menguji peran tugas berbicara yang divideokan dan pendapat siswa terhadap diberlakukannya tugas ini. Studi ini menggunakan desain kuasi-experiment dengan purposive sampling yang kemudian secara acak dibagi menjadi kelas eksperimen dan kelas kontrol. Tes dilakukan 2 kali sebagai pretest dan posttest, di mana data posttest dan gain score dianalisis menggunaan uji t-test. Hasil analisis menunjukkan bahwa nilai keterampilan berbicara kelas eksperimen secara signifikan lebih tinggi. Selain itu, siswa juga senang mengerjakan tugas ini. Temuan ini menunjukkan bahwa pemberian tugas berbicara dengan divideokan bisa meningkatkan kemampuan produktif secara oral dan mendukung temuan terdahulu terkait efektifitas tugas berbicara yang divideokan. How to Cite: Azkiyah, S. N., Rahayu, R. (2018). Examining the Role of Video-Recorded Speaking Task in Enhancing Students’ Oral Productive Skill. IJEE (Indonesian Journal of English Education), 5(2), 204-218. doi:10.15408/ijee.v5i2.11193.
AN ERROR ANALYSIS OF SIMPLE PAST TENSE IN WRITING OF STATE SMK IN JAKARTA

Error analysis is the process of determining the incidence, nature, causes, and consequences of unsuccessful language. The purpose of this research is to identify the errors of simple past tense that is made by students in writing narrative composition. The qualitative method is used by researcher in finishing the research. She took 38 writing of students of state SMK in west Jakarta. The research was held for a month start from June to July. The errors made by students influence the English narrative composition. It can be seen in the writing they made which is showing the sentences they made became meaningless. The learners weren’t used to write or made an English narrative composition by the English teachers so they got some difficulties when they were asked to make an English narrative composition. After having research on the learners’ English narrative composition, the errors happened in simple past tense are 32 mistakes; they are the use of simple past tense 20 mistakes or 62,5% and the form of simple past tense 12 mistakes or 37,5%
Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine

This paper presents a reliable on-line re-optimization control of a fed-batch fermentation process using bootstrap aggregated extreme learning machine. In order to overcome the difficulty in developing detailed mechanistic models, extreme learning machine (ELM) based data driven models are developed. In building an ELM model, the hidden layer weights are randomly assigned and the output layer weights are obtained in a one step regression type of learning. This feature makes the development of ELM very fast. A single ELM model can lack of robustness due the randomly assigned hidden layer weights. To overcome this problem, multiple ELM models are developed from bootstrap re-sampling replications of the original training data and are then combined. In addition to enhanced model accuracy, bootstrap aggregated ELM can also give model prediction confidence bounds. A reliable optimal control policy is achieved by means of the inclusion of model prediction confidence bounds within the optimization objective function to penalize wide model prediction confidence bounds which are associated with uncertain predictions as a consequence of plant model-mismatch. Finally, in order to deal with unknown process disturbances, an on-line re-optimization control strategy is developed in that on-line optimization is carried out while the batch process is progression. The proposed technique is successfully implemented on a simulated fed-batch fermentation process.
APLIKASI PENGHITUNG UPAH LEMBUR BERDASARKAN JUMLAH WAKTU LEMBUR DENGAN MENGGUNAKAN ALGORITMA LINEAR SEARCH

The development of information technology has created many solutions to problems that are often faced in life. An application can help a job and make it easier has encourage companies to use applications that help their work in several departments such as administration and human resources. Some companies have regulations requiring employees to do work more than normal working hours that called overtime. Every employee who does overtime will get overtime wages accordance to the amount of overtime that has been done. But sometimes the late of payments occurred because the calculation of overtime wages takes a long time when many employees did overtime. To solve this problem the company needs an application that can calculate overtime wages quickly and accurately, using the linear search algorithm application will search and process the recorded data in the attendance machine, then calculate overtime wages according to the amount of overtime that has been done. And then it can minimize the occurrence of late payments and more accurate calculations result.
Firefly Algorithm with Proportional Adjustment Strategy

Firefly algorithm is a new heuristic intelligent optimization algorithm and has excellent performance in many optimization problems. However, in the face of some multimodal and high-dimensional problems, the algorithm is easy to fall into the local optimum. In order to avoid this phenomenon, this paper proposed an improved firefly algorithm with proportional adjustment strategy for alpha and beta. Thirteen well-known benchmark functions are used to verify the performance of our proposed algorithm, the computational results show that our proposed algorithm is more efficient than many other FA algorithms.
METODE ATM (AMATI, TULIS, MODIFIKASI) UNTUK PEMBELAJARAN MENULIS PUISI BERWAWASAN LINGKUNGAN

This article contains conceptual ideas about innovative learning methods that can be used for learning to write poetry. This method is an ATM method. The ATM method stands for observing, writing, and modifying. As the name implies, this learning method has three main syntaxes, namely observing, writing, and modifying. Each syntax is translated back into a more specific syntax. This ATM method is implemented in learning to write poetry with environmental insight.
Improving Students’ Reading Skill Through Think-Pair-Share (TPS) Technique

This study aims at investigating how the Think-Pair-Share (TPS) technique can improve the students’ reading skill at the English Language Department, FKIP, Muhammadiyah University of Mataram. The problem found in the fourth-semester students is that they have low ability in comprehending the text. The TPS technique is offered by the researcher to solve the problem. Later on, the design of this research was classroom action research adopted from Kemmis &amp; McTaggart which goes through a cycle that consists of four stages namely planning, acting, observing, and reflecting. At the cycle 1, the students failed to meet the criteria of success because only 14 (fourteen) out of 30 (thirty) or 47% students who got the minimum passing grade 75 (seventy-five) and the average score was 67. It meant that the study must be continued to the next cycle. At last, in the cycle 2 met the criteria of success in which 67% students or 20 (twenty) out of 30 (thirty) students met the minimum passing grade 75 and the average score was 72. Beside gaining improvement in the reading score, the students also seemed enthusiastic in thinking, pairing and sharing their ideas. They stated that this technique could encourage and motivate them in thinking, exploring and sharing their opinion and ideas. This technique is also good to enhance cooperation with other people. Finally, TPS technique also able to increase the students’ confidence to share their ideas in front of many people.
Forest Fire Prevention Early Warning Method Based on Fuzzy Bayesian Network

In the environment of large forest, the factors causing fire are nonlinear and uncertain. If the data collected by the sensor is simply analyzed and compared, the false alarm rate will be higher. How to combine the data of several sensors for effective fire warning is a difficult point. In order to improve the accuracy of prediction, aiming at the shortcomings of traditional forest fire prevention early warning system, we propose a forest fire prevention early warning method based on fuzzy Bayesian network. Firstly, we combine the fuzzy control system and the Bayesian network in series, and pre-process the collected sensor data. The pre-processed data is sent to the previously trained Bayesian network for processing. Then the calculated open fire probability, smoldering fire probability, and no fire probability are used as input data of fuzzy control system, and fuzzy inference is performed. Finally, we de-fuzzify the results of fuzzy reasoning and get the probability of fire. Simulation results show that our method can effectively combine the data collected by multiple sensors, quickly and accurately determine fire occurrence probability, improve the accuracy of forest fire prevention warning, and reduce the false positive rate.
Decision Support System Untuk Menetapkan Daya Listrik Bagi Pelanggan PLN

The need for electrical energy is very dominant for humans, starting from the needs in the household, government business, home industry to large industries and all other aspects of life, now means that the availability of electricity is very important and very influential in increasing the socio-economic quality growth rate society in general. A PLN user to find out how much lamp power is needed in a room judging subjectively that is still in accordance with his own wishes. This writing makes the application using fuzzy logic to find out how much electrical power is used in an appropriate manner. To make it easier for a PLN user to determine the electrical power that is in accordance with the requirements, the author makes the application using fuzzy logic. The programming language used is visual basic. The benefit of this writing is to help a PLN user to optimize electric power so that it can save energy.
Semi-automated double sided livestock (SADSL) mix feeder

&lt;p&gt;The Semi-Automated Double-Sided Livestock (SADSL) MixFeeder is designed to automatically feed and acts as a mixer for the ingredients of the livestock. The machine provides owners of these animals the freedom to be away from their reared animals for up to a week at a time and can be confident that their animals are being fed properly. The software design for the SADSL MixFeeder utilizes custom software written in the language of the Arduino development environment to implement all the functions required to control the feeder using Arduino microcontroller-based system. The prototype for SADSL MixFeeder is designed and implemented successfully.&lt;/p&gt;
Efektivitas Penerapan Metode Bermain Peran Makro terhadap Perkembangan Bahasa Lisan Anak di Taman Kanak-kanak Darul Falah Kota Padang

This study aims to find out how effective of the application of macro roles playing methods for the development of the oral language of children in the kindergarten of Darul Falah Padang city. This research uses quantitative approach with quasi-experiment research type. The study population is students in the kindergarten of Darul Falah Padang city and the sampling technique is purposive sampling. The data collection technique uses a test in the form of a statement of 4 statement items. Assessment techniques in this study use rating scale and the data is processed by difference test (t-test) and the effect size test with Cohen’s formula d to find out the magnitude of the influence.Based on the calculation of the t-test (t-test) obtained tcount of 3,1645 while the ttable is a 2,10092 at the real level ?=0,05 so that tcount&gt; ttable and the effect size tets of the t-test is obtained for 1,488. Thus it can be concluded that macro roles playing methods are effective against the development of children’s oral language in the kindergarten of Darul Falah Padang city.
Audiovisual materials for oral expression development

This research had as its ultimate objective to analyze the effects of the use of audiovisual materials in the development of oral expression in 55 ninth grader of basic education at the Unidad Educativa “Vicente Anda Aguirre”, during the first part of the first term of 2018-2019 academic year. To achieve the objective, two evaluations were applied in two moments (pre-test and post-test). The assessments were developed based on Speaking skills through the Cambridge Preliminary English Text (PET) exam. Additionally, students and teachers were surveyed in order to obtain data related to the practice in the classroom. A booklet was designed which contained ten lesson plans. They were applied during the intervention period. The lessons focused on the use of audiovisual materials such as computer and internet, online tools, flipcharts, television and cartoons in combination with oral expression strategies such as: planning, execution, and evaluation. The data obtained was evaluated through the Cronbach Alpha test that allowed verifying the reliability of the results. After finishing the intervention with the study or experimental group, the post-test was applied, which allowed obtaining the results that were analyzed and contrasted with those obtained in the pre-test, using the T-Student test. The results obtained with the experimental group proved that the students improved their oral expression and experienced greater interest and motivation, through the use of audiovisual materials. Hence, it is recommended that teachers include in their didactic planning the use of audiovisual materials to improve students’ performance.
A Study on Recent Trends in Artificial Intelligence

An effective personal assistant should have adaptability, judgment, and technical, team player, customer service &amp; communication skills, from the olden days personal assistant has been assigned to look after a team. A personal assistant (PA) usually carries out administrative work on behalf of one individual. The role of a PA is to free an executive’s time from organizing and administrative tasks so that they can spend maximum time on strategic tasks. Now we are living in the technological emerging world, physical personal assistants are replaced by the virtual assistant, they can be in the form of small device or robots and even it can be a contract that is signed over the Internet that assists in the day to day tasks performed by the human. Artificial intelligence plays an important role in a virtual assistant.&#x0D; One common characterization of intelligent computation is based on the ability to solve a problem. Types of problems requiring intelligence include inference based on acquiring knowledge, reasoning, and acting with uncertain or incomplete information, various forms of perception and learning, and applications to problems such as control, prediction, classification, and optimization. The second characterization of AI computation is based on the underlying mechanism for biological processes it is used to arrive a solution. The primary variant of this category is neural networks and genetic algorithms. This view of AI is necessary even if such techniques are used to compute things that don’t appear intelligent in the way of computing. In this article the current trend of Artificial intelligence has been discussed.
A STUDY ON ENGLISH STUDENTS’ WILLINGNESS TO COMMUNICATE IN ENGLISH IN SOCIAL MEDIA

This research aims to investigate factors affecting willingness to communicate in English in social media. This research was conducted in a descriptive method framework. Specifically, the research described factors that affect students' willingness to communicate in English in social media at English study program at the fourth semester of Muhammadiyah University of Bengkulu academic year 2018. The subjects of this research were fourth-semester students of English Education study program of Muhammadiyah University of Bengkulu Academic Year 2018 consisted of class A, B, and C. The populations of the study were 77 students. The instruments used were questionnaire and interview. The data obtained from both questionnaire and interview were then analyzed by the process of checking, classifying, determining, and analyzing the data by using the percentage formula. The results of the study showed that there were five factors affecting willingness to communicate in English in social media. They were self-confidence, personality, motivation, attitude, and anxiety. The dominant factor was motivation since it had the highest percentage. In addition, the study also revealed some reasons why students have the willingness to communicate through social media.