Reviewerly/exHarmony huggingface dataset:
ANALYSIS RISK MAPPING OF BATIK KARAWANG DISTRIBUTION TO EXPAND DISTRIBUTION COVERAGE

Tourism is a resource that can be developed in Indonesia because it has a positive impact on economic growth both locally and nationally which can increase regional income so that local community empowerment and poverty alleviation can be done. One of the efforts in developing the local economy is by making regional superior products such as the development of batik that has been internationally recognized by UNESCO as Indonesia's cultural heritage. Karawang has distinctive batik and is different from batik from other regions, so this batik is admired by the Karawang community itself. The distribution of Karawang batik still has many obstacles both in terms of regional conditions, the number of craftsmen and branding that are not yet strong. This research focuses on re-mapping the flow of Karawang batik distribution with reference to risk management. This research is very important to improve the flow distribution of Karawang batik, so that it will make the distribution coverage of this batik even wider. This study uses a mapping method distribution flow, taking into account the risk management. The risk management itself uses a Risk Register map, so that the risk exposure from Karawang batik will be increasingly clear and is expected to make mitigation and minimize risk. After conducting a causal analysis and risk map, several proposals were extended to expand the scope of marketing, including the Religious Community, the Government Organizations, Banking Companies, Private Companies, Motor and Car Commodities. The proposal is expected to be implemented and have a positive influence. Furthermore, it will be monitored once a year to see the changes &lt; Keyword: batik karawang; causal analysis; risk register map
Development of interactive educational content for teaching chemistry using augmented reality resources

The development of 3-D applications with the use of augmented reality is proving increasingly efficient for the development of education. In this way, the objective is to develop an application for the study of molecular geometry that allows the union of the modeling process with augmented reality.
An Improving Way For Website Security Assessment

Nowadays, the Internet plays a crucial role in our society. AmongInternet services, web-based services are very popular thatbecome the target of security attacks. Hence, securing websitesand connection to the users is important. If we own or manage awebsite, we certainly concern about how secure it is. Forassessing the security level of a website, we usually take someaction, including testing the website using security scanningtools. Unfortunately, most of scanning tools have limitations andneed to be updated frequently for new vulnerabilities. Using onlyone scanning tool is sometime not enough to determine securitylevel of a website. In this paper we propose a frameworksupporting website security assessment. The idea of thisframework is to integrate different scanning tools into theframework. We then write a program to implement thisframework with a real website. We guide the users how to add anew scanning tool to this framework, manage it and generate afinal report.
First in time, first in right: WIPO takes the lead on digital date stamping of IP

WIPO has provided a new digital platform, called WIPO PROOF to record the critical date of creation for individuals and companies alike. The imprimatur and stamp of authority by the World Intellectual Property Organization, as a UN agency, gives the certificate an official seal of authority. Depending upon the jurisdiction, a date stamped certificate may serve as persuasive evidence of the date of creation. As experience has shown, these significant advantages in evidentiary rules, aid creators immensely in legal battles. The function of the digital date stamp is, of course, specific and limited to confirm the creation of a document at a specific timeline. Such a timestamp does not, however, go beyond this formalistic function into the substantive area of intellectual property rights and registration. It should be noted that WIPO PROOF does not confer or show proof of intellectual property rights per se. Nonetheless, as experience has shown, the significant advantage of showing official confirmation of the simple proof of the date of creation may aid creators in legal battles.
FACE DETECTION IN COLOR IMAGES AND LIVE VIDEOS USING DEEP LEARNING MODEL

In this paper a face detection system using color images with multiple faces and live video is designed, implemented, and evaluated. Viola Jones algorithm with Haar like features and Cascaded classifiers are used to design face detection model. Experiments have shown that in the case of face detection, deep learning and neural networks methods produce better results in terms of precision and recall compared to the other methods in this field. A template based method has been modified in order to detect the faces. The template is rotated and rescaled to match the component and then the correlation between the template and component is calculated, to determine if the component belongs to a human face. The designed algorithm also succeeds if there are more than one face, faces with occlusion, and different illumination conditions in the component.
Qualitative modelling of accompaniment’s postures in training spatio-temporal analysis

This is a qualitative study that aims at exploring textual data in a coherent set of journal articles on the theme of educational and training support. This textual study allowed us to identify four different postures in all our analyses. Firstly, the time allocated to accompaniment: moving from permanent to periodicals. In the second place, it is about the space where the exchanges between the person being accompanied and the accompanier take place: from proximity to distance in exchanges. On the theoretical level, the aim of this article is to propose a qualitative model through four postures of accompaniment in training and education. On a practical level, it also aims at clarifying the specificities of these four postures, the typical tools of their exercises, the expected effects and the conditions of their application and, finally, the limits of their adoption in different contexts. The relevance of this work is the prescription of a progressive approach on a set of characteristics specific to each of the four postures observed. This progressive continuum obeys an evolutionary dynamic going from the most caring posture for the person being supported to the most empowering for him. Keywords: Accompaniment, distance, space-time, modelling, postures, proximity
EXTENDED CONVOLUTIONAL NEURAL NETWORKS POST-TRAINED WITH FACTORED STATISTICAL MACHINE

This paper investigate the potential of coupling two machine translation research approaches while taking full advantage of each method, namely, the deterministic (neuronal) and probabilistic (statistical) approaches, in order to address three main problems occurring in MT, that is, language pairs having grammatical structure and word order that differs drastically, data sparseness and the number of out of vocabulary (OOV) words generated.Additionally, we integrated word-level linguistic features (Part-of-Speech with compounds, lemmatization and/or word class) so as to decrease the number of unknown words while significantly increasing the vocabulary coverage.We combined a fully-factored ConvS2S and a factored PB-SMT where, the pre-translated training data generated using the NMT system is employed to build the SMT system, parallely, tuning parameters using the pre-translated development set.Finally, the desired results where produced by operating in the posttranslation step the SMT system to re-decode the pre-translated test set.Experiments are performed on comparisons between stand-alone vs. our hybrid MT models where our model outperforms the strong MTs state-ofthe-art by over 3.88 %BLEU, 3.08 %BLEU and 3.52 %BLEU, on the WMT'16 English-Romanian, WMT'14 English-German and WMT'14 English-French translation tasks, respectively, and hybrid recurrent vs. hybrid ConvS2S MT models where our model outperforms the strong HMTs state-of-the-art by over 3.95 %BLEU and 5.68 %BLEU on the Japanese-English and Chinese-English test sets, respectively.
Errors Analysis of Directive Speech Act and Politeness Strategy in Kaiwa Chukyu Learning

The research aimed to explain types of directive speech act encompassed meirei (order), irai (plea), kinshi (prohibition), kyoka (permit), and teian (suggestion) in the Japanese language. Directive speech acts were common for students in the kaiwa chukyu zenhan level (basic intermediate speaking lesson). The present research employed a listening method with the basic technique, i.e., tapping method. Further, involved and uninvolved conversation observation techniques, note-taking, and recording were applied to collect the data. The data object was the documentation of student conversations in class. The data, consisting of the directive speech act of the politeness principles in the conversation during the Japanese course kaiwa chukyu zenhan, were analyzed using an identity method. In conclusion, the research identifies several directive speech acts that are used during the class. Those are zenhan (order, three data), requesting (two data), suggesting (one data), prohibiting (one data), and permitting (one data). Moreover, the honorifics used include the teineigo and kenjogo. Among the nine data, directive speech acts are identified in the class, and only one data indicates the indirect speech act.
Implementation Assistance Driver System for Public Transportation Based on Embedded System

According to data from the World Health Organization (WHO) per year around 1.35 million people die as a result of traffic accidents. Therefore, one solution is the development of Smart Transportation, namely the implementation of the Advanced Driver Assistant System (ADAS) on public transportation. The purpose of this study is to provide a level of safety in public transportation in the form of providing recommendations in driving. ADAS is implanted in an Odroid device and then installed on public transportation. The system can provide speed recommendations, predict vehicle conditions whether safe or dangerous, and detect traffic signs. In its implementation the system provides speed recommendations using Artificial Intelligence (AI) which is the fuzzy logic method and to predict the condition of the vehicle using machine learning that is the Support Vector Machine method. The system output in the form of speed recommendations, vehicle safety predictions and traffic signs detection will be directly accepted by the driver both visually and soundly. From the test results, the system has an accuracy rate of 95.25% in predicting vehicle conditions.Keywords: Assistance driver system; artificial intelligent; embedded device; machine learning; odroid Impelementasi Assistance Driver System untuk Transportasi Publik Berbasis Sistem EmbeddedABSTRAKMenurut data dari organisasi kesehatan dunia (WHO) per tahun sekitar 1,35 juta orang meninggal akibat kecelakaan lalu lintas. Salah satu solusinya adalah pengembangan smart transport, yaitu penerapan advanced driver assistant system (ADAS) pada angkutan umum. Tujuan penelitian ini memberikan tingkat keselamatan pada transportasi publik berupa pemberian rekomendasi dalam berkendaraan. ADAS ditanamkan dalam perangkat odroid dan kemudian dipasang pada transportasi umum. Sistem ini dapat memberikan rekomendasi kecepatan, memprediksi kondisi kendaraan apakah aman atau berbahaya, dan mendeteksi rambu-rambu lalu lintas. Dalam implementasinya sistem memberikan rekomendasi kecepatan menggunakan artificial intelligence (AI) yang merupakan metode logika fuzzy dan untuk memprediksi kondisi kendaraan menggunakan pembelajaran mesin yaitu metode support vector machine. Output sistem dalam bentuk rekomendasi kecepatan, prediksi keselamatan kendaraan dan deteksi rambu lalu lintas akan langsung diterima oleh pengemudi baik secara visual maupun suara. Dari hasil pengujian, sistem memiliki tingkat akurasi 95,25% dalam memprediksi kondisi kendaraan.Kata kunci: Assitance driver system; inteligensi buatan; perangkat tertanam; pembelajaran mesin; odroid
Penentuan Tingkat Buta Warna Pada Citra Ishihara Berbasis HSV Dan Algoritma Color Filtering

Currently, the use of computer media for measuring the level of color blindness for the recruitment of prospective workers in companies/organizations or the selection of prospective students in educational institutions is still rare. Most methods used to measure the level of color blindness still use conventional methods without involving a lot of computer media. The reason is that the level of color blindness measuring devices is still not affordable for companies or educational institutions. Based on this fact, a proposed method for measuring color blindness using computer media is by applying the Color Filtering algorithm to the HSV color space on the Ishihara images. The purpose of this paper is to design and build applications to detect the level of color blindness using the Color Filtering algorithm. The color filtering algorithm is an image processing technique that is used to manipulate an image based on the specific color obtained from a color space. The use of HSV color space is used because the human eye uses Hue to refer to colors known to humans, such as red and green. This property reflects the colors captured by the human eye that respond to various wavelength values of light. The results of this paper are the application of the Color Filtering algorithm to Ishihara-based HSV images expressed as highly relevant for detecting the level of a person's color blindness.
FAKTOR-FAKTOR YANG MEMPENGARUHI MAHASISWA AKUNTANSI FE UST MENGIKUTI UJIAN SERTIFIKASI AKUNTAN PUBLIK (USAP)

Students who want to work as public accountants are required to first take thePublic Accountants Certification Exam which is held by the Indonesian Instituteof Certified Public Accountants, but students who take the public accountantcertification exam are still minimal. The purpose of this study is to determine theeffect of economic motivation, personality, barriers, social motivation and qualitymotivation on accounting students’ interest in taking the Public AccountantCertification Exam.The research respondents were all students of semester VIand above Accounting Study Program Department of AccountingSarjanawiyataTamansiswa University. The instrument testing was carried out usingvalidity and reliability tests. To determine the accuracy of the model, classicalassumption testing is carried out followed by multiple regression analysis bothpartially and simultaneously. The results of this study indicate that the variablesof economic motivation, personality, exam barriers, social motivation and qualitymotivation simultaneously influence the interest of accounting students takingthe Public Accountant Certification Exam by explaining the variation expressedin the coefficient of determination, showing that 66.6% of the variation in interestdetermined by social motivation and personality, while 33.4% is determined byother variables not examined in this study but partially personality and socialmotivation have a significant influence on the interests of accounting studentstaking the Public Accountant Certification Exam, while economic motivationvariables, test barriers, and quality motivation does not have a significant influenceon the interests of accounting students taking the Public Accountant CertificationExam.
The Effect of Turn - Taking Strategies on Pupil’s Communicative Competence

The current study aims at investigating the effect of turn-taking strategies on fostering EFL Iraqi preparatory pupils’ communicative competence and identifying Iraqi preparatory pupils’ level of communicative competence. “To conduct the study and fulfill its aims, the following hypotheses are set”:&#x0D; &#x0D; “There is no statistically significant difference between the mean score of the experimental group which is taught by turn-taking strategies and control group which is taught by the conventional strategy in communicative competence”.&#x0D; &#x0D; To achieve the aim and confirm the hypotheses, the experimental design&#x0D; which is Non- Randomized Experimental Group Pretest- Posttest Design. The sample is current study consists of (70) pupils in the fifth scientific stage, derived from two schools chosen from AL- Aqeeda and Om AL-Muamneen schools “for girls”. The sample consists of two sections, section (A) randomly chosen to be the experimental group from AL-Aqeeda school , section (B) “has randomly chosen to be the control group from Om AL-Muamneen schools”. Each section consists of (35) pupils. Both groups have been equalized in such variables from educational level of parents, testees age , English grades achievement in fourth stage, and the post the pre- test of both groups. The experiment lasted three months, the researcher has taught the two groups during the academic year 2019-2020.&#x0D; “To analyze the obtained data, different statistical means have been used many T-test, weighted mean and percentile mean to measure the pupils’ communicative competence”.&#x0D; “After the statistically treatment” of the data, the result reveal that:&#x0D; 1.Teaching pupils by using turn-taking has proved it is effectiveness in raising pupils’ communicative competence level. &#x0D; Based on the results, the obtained conclusions in this study, appropriate “recommendations, and suggestions for further studies are put forward”.&#x0D;
Comparison of Algorithms for Crime Analysis

There are nearly thousands of crimes that happen every day. There are many algorithms for calculating an area's crime rate but there is no best algorithm for calculating an area's crime rate, depending on the algorithm's accuracy and time complexity. So, we've taken four unsupervised clustering algorithms K means clustering, agglomerative clustering, gaussian clustering, density-based spatial clustering algorithms to compare them based on the accuracy of the algorithms on a given collection of data to figure out the best algorithm to figure out the crime rate of a given region. This paper essentially presents a comparative study of all four clustering algorithms, and it is found that k means clustering algorithm is the best clustering algorithm for calculating an area's crime rate on the given data set.
An Analysis of Politeness Principle in Badung Regent Candidates Debate in 2015

Abstract This study aimed at: 1) finding maxims of politeness principle expressed in Badung Regent Candidates Debate in 2015; 2) finding the most dominant maxim of politeness principle used in Badung Regent Candidates Debate in 2015. This study was designed mainly as a descriptive qualitative study which then supported by some descriptive quantification. The objects of the study were the utterances containing maxims of politeness principle expressed by the regent and vice regent candidates of Badung in Badung Regent Candidates Debate in 2015. The data were analyzed based on the theory of politeness principle proposed by Leech and the theory of categorization of speech act by Searle. The results of the study display that there are six maxims of politeness principle expressed in Badung Regent Candidates Debate in 2015, namely the tact maxim, the generosity maxim, the approbation maxim, the modest maxim, the agreement maxim and the sympathy maxim. Furthermore, it is found out that the generosity maxim is the most dominant maxim used by the regent and vice regent candidates in Badung Regent Candidates Debate in 2015. The generosity maxim expressed in the debate applied the commissive type of speech act. Through the utterances of this maxim, they intend to convince the audience that they attempt to minimize benefit to self and maximize cost to self. The maxims expressed by the regent and vice regent candidates in the debate have a goal to communicate effectively
THE USE OF GOOGLE DOCS TO IMPROVE STUDENTS’ WRITING ABILITY

The objective of this research was to find out whether or not the use of Google Docs improved the students’ writing skill and to find out the students’ interest in learning writing by using Google Docs. This research applied a quasi-experimental design with an experimental class and a control class. The procedure of collecting data involved administering a pre- test, treatments and a post- test. The sample consisted of 54 students who were chosenby using cluster random sampling. The instruments of this research were writing text and questionnaire. The result of the data analysis showed that the mean score of experimental class was higher than that of control class and the result of hypothesis testing using independent T-Testin SPSS 16showed that t value is greater than t table, so H1 was accepted. It can be concluded that the use of Google Docs significantly improves the students’ writing skill and It also found that students were interested in learning writing by using Google Docs that is proved from their questionnaire result.
Sediment Quality of Orashi River at Four Oil Producing Communities of Nigeria

Bed Sediment samples were collected in the Dry Season from Orashi River at three sampling sites each located in Mmahu, Opuoma, Abacheke and Ogwu Aniocha communities. Physicochemical parameters, hydrocarbon and heavy metal (As, Cd, Fe and Pb) concentrations were determined with standard methods. Results showed that total petroleum hydrocarbon (TPH) ranged from 0.11 ±0.03 to 1.91 ±0.25 mg/kg while total hydrocarbon content (THC) and oil and grease had ranges of 0.28 ±0.06-2.98 ±0.19 and 0.69 ±0.09-3.60 ±0.57 mg/kg respectively. The sediment samples were classified as unpolluted in terms of TPH. Mean values for pH had a range of 4.33 ±0.22 - 6.60 ±0.52 while the texture of most samples was sandy. Mean organic carbon contents ranged from 0.58±0.07 to 3.15±0.66 % and mean total nitrogen and total phosphorus had ranges of 0.30±0.00 -2.77±0.46 and 17.34±1.65 - 29.48±1.63 mg/kg respectively. Mean Mg concentrations were significantly higher (P&lt;0.05) than the concentrations of other exchangeable bases and mean As concentration had a range of 1.175±0.086-1.291±0.335 mg/kg. Mean Cd concentrations ranged from 0.948±0.072 to 3.120±0.131 mg/kg while mean Fe and Pb concentrations had ranges of 57.324±10.530-159.707±41.192 and 1.300±0.295-7.462±0.861 mg/kg respectively. As and Pb values were lower than the sediment quality guidelines (SQG) but Cd values were higher than the guidelines in all sites. Contamination factors (CFs) for As and Pb indicated low contamination while CFs for Cd indicated moderate to considerable contamination. Geo-accumulation index (Igeo) values for As and Pb at all sites and that of Cd at one site indicated unpolluted, Igeo values for Cd at all other sites ranged between 0.210 and 1.571 indicating unpolluted to moderately polluted status.&#x0D; Keywords: Sediment, Orashi, hydrocarbons, physicochemical, metals, contamination
THE EFFECTIVENESS OF DIARY WRITING IN IMPROVING UNIVERSITY STUDENTS’ ASSERTIVE ATTITUDES

This study aimed to apply diary writing as a therapy for low-assertive students. This study employed the Core Conflictual Relationship Theme (CCRT) method developed by Lester Luborsky. The data were collected using diary as an elicitation medium and analyzed using the Garnefski Emotion-Cognitive Regulation Questionnaire (CER). The results showed that(1) student low assertiveness could be improved through expressive writing therapy using a diary as the medium; (2) diary as a therapeutic medium was effective in improving student low assertiveness because diary writing tasks can be distinguished based on CCRT and CER; (3) there was a difference between male and female assertiveness patterns; (4) subjects in the category were easier to change towards normal assertiveness with diary writing therapy compared to subjects in the LSE category.