Reviewerly/exHarmony huggingface dataset:
RELASI ANTAR AKTOR DALAM MENDUKUNG SEKTOR PERIKANAN DI PESISIR TELUK BANTEN

The fishery sector is a fairly important sector on the coast of Banten Bay but the development of the fishery sector that is not managed collaboratively often ends in conflicts and is not managed optimally.There are still many problems faced in the development of the marine and fisheries sector in the Banten Gulf Coast such as 1.The low income of fishermen / fish farmers, 2. The small contribution of the marine and fishery sector to regional economic growth 3. Less optimal services in fishery ports 4. Low quality and safety of fishery products according to standards.5. Lack of added value and competitiveness of marine and fishery products 6.Lack of maintenance of carrying capacity and quality of marine and fisheries resources environment.7. The lack of a wide range of Banten waters that can be overseen by marine and fisheries service supervisors and the weak interaction between fisheries support sectors.This study aims to map the relationships between actors in the development of fishery.Research locus was conducted on the coast of Banten Bay. the primary and secondary data in this study were analyzed using a prospective analysis method with the use of MACTOR Analysis tools.The mactor results showed that the relationships between actors had weak direct interactions.So that a collaborative institution is needed in the form of a multistakeholder institutions in the management of the fisheries sector to provide excellent output in regional economic development.
Sequence Tagging for Fast Dependency Parsing

Dependency parsing has been built upon the idea of using parsing methods based on shift-reduce or graph-based algorithms in order to identify binary dependency relations between the words in a sentence. In this study we adopt a radically different approach and cast full dependency parsing as a pure sequence tagging task. In particular, we apply a linearization function to the tree that results in an output label for each token that conveys information about the word&rsquo;s dependency relations. We then follow a supervised strategy and train a bidirectional long short-term memory network to learn to predict such linearized trees. Contrary to the previous studies attempting this, the results show that this approach not only leads to accurate but also fast dependency parsing. Furthermore, we obtain even faster and more accurate parsers by recasting the problem as multitask learning, with a twofold objective: to reduce the output vocabulary and also to exploit hidden patterns coming from a second parsing paradigm (constituent grammars) when used as an auxiliary task.
The Impact of Social Media upon the Kurdish Language

The most important feature of our present time of advancement and privacy is the emerge of social networks all over the world, which began to spread the exchange of science and knowledge, it became very easy for people all over the world to communicate and exchange information through these networks that broke all borders,distance,space and time.Social networking sites and websites have become important needs of humans and have greatly influenced the behavior of “sender and receiver” users because they are free to discuss and publish the topics they choose according to their wishes and hobbies. In this paper, we discussed the influence of the social networks on the Kurdish language – the badin dialect, according to the levels of language “phonology, morphology and grammer” within the analytical. descriptive approach in social linguistics. The research tools have included “emails in social networking sites such as facebook, instagram, you tube, snap chat and messenger, besides the topics that are presented and criticized, as well as the questions posed by the sender and the answers to them by the receivers. The main objective of this research is to identify the problems faced the Kurdish language and the obstacles that prevent the spread of correct and the original language in social networking sites. The research consists of two chapters. The first deals with the theoretical aspect of the subject in general, such as the definition of “ the internet, the social network, the characteristics and types of these networks, and the positive and negative aspects of social networking sites. The second chapter dealt with the practical aspect, which includes the influence of social networks on phonological, morphological, and grammer in the Kurdish language. In conclusion, the must important findings with a summary of the research in Kurdish, Arabic and English will be presented.
Construction of optimal uniform constant composition codes

Uniform constant composition codes are particular cases of constant composition codes, where every symbol of the alphabet appears times in the codewords. A construction of optimal uniform constant composition codes with no restrictions over the alphabet is presented.
Analisis Sistem Drainase Di Kawasan Permukiman Pada Ruas Jalan Getah Tunggal Kelurahan Cempaka Kota Banjarbaru

Floods that occurred in the city of Banjarbaru especially those that occurred in residential areas caused problems for the community as well as challenges for the government to evaluate the drainage channel in the settlement. The existing rainwater drainage channels need to be reviewed and developed so that they can accommodate the water flowing in the area. One of the settlements that had occurred in the city of Banjarbaru was a residential area in Cempaka Subdistrict, Cempaka Village, precisely on Jalan Getah Tunggal. The data needed in this study are rainfall data, land use data, topographic data and existing data on channel conditions at the study site. Rainfall data were analyzed by Log Pearson III, Gumbel and Iwai Kadoya methods, then tested by Chi Square to choose the distribution of statistics received. The rainfall data was analyzed into the intensity of hourly rain using the mononobe method. Rain intensity is analyzed using a rational method to get a plan debit (Qchannel). Furthermore (the plan) is compared with (Qchannel), and (Qexisting). Based on the calculation results obtained (Qplanning) of 0.76 m3/sec, (Qchannel) of 0.78 m3/sec, (Qexisting) of 0.0645 m3/sec, the comparison results are obtained (Qchannel)&gt;(Qplanning), (Qexisting) &lt;(Qplanning). So that it can be concluded that the causes of flooding and inundation are sediments as high as 70 cm which reduce the storage capacity of the initial dimensions of the channel
3 Ways to leverage your social media: Boost your career with Twitter - [Resources_At Work]

Scientists and engineers are increasingly using social media platforms such as Twitter and Facebook to promote their work. Look at Bill Nye. The mechanical engineer, TV and pod- cast host, and CEO of the Planetary Society, Nye is a Twitter superstar with 5.9 million followers. But can social media benefit regular engineers and academics as well? Yes, it can-once you hit a 1,000-follower threshold on the microblogging site, according to a June 2018 study in the Canadian journal Facets. That's when your tweets start to reach a broader audience outside your immediate fraternity. If you are thinking of navigating the world of social media sites, here are some ways it can be useful and suggestions to get you started.
MIPT System for World-Level Quality Estimation

We explore different model architectures for the WMT 19 shared task on word-level quality estimation of automatic translation.We start with a model similar to Shef-bRNN (Ive et al., 2018), which we modify by using conditional random fields (CRFs) (Lafferty et al., 2001) for sequence labelling.Additionally, we use a different approach for labelling gaps and source words.We further develop this model by including features from different sources such as BERT (Devlin et al., 2018), baseline features for the task (Specia et al., 2018) and transformer encoders (Vaswani et al., 2017).We evaluate the performance of our models on the English-German dataset for the corresponding task.
A NOISE-TOLERANT EVOLUTIONARY ALGORITHM BASED ON ACCUMULATIVE SAMPLING

This paper proposes an evolutionary algorithm that can efficiently solve noisy optimization problems for which the objective functions can be evaluated not accurately but only approximately.While the accuracy of evaluation may be improved by taking many samples of evaluation and taking the average, it can be computationally demanding.The proposed algorithm is an improvement over a previous work to achieve higher search efficiency by better allotting different number of samples to different candidate solutions in the population during the course of evolution.Experiments with a set of benchmark problems show that the proposed algorithm significantly outperforms the previous algorithm.
Modifying playfair cipher algorithm using KAJ spiral method to fit any language regardless of the number of characters

In this paper we proposed KAJ Spiral method for supporting PlayFair cipher algorithm to use languages other than English and utilize block with more than two characters at once. Original method does not support block of characters and other languages. The method uses a spiral shape with two axes (X, Y) and the letters are spread on the axis within circles depending on the language. We use Friedman method analysis (index of coincidence) as a tool to test and prove the efficiency of KAJ Spiral method, and we found that it is at least equally secure to the original PlayFair cipher. The aims of this is making cryptography just like mathematics a universal language such that people with different languages can use this algorithm for secure communication, and at the same time make the algorithm stronger and easy to use, with the ability to fit any language.
I Corner based on Android Application

Android is an open source mobile operating system based on Linux with Java support.It comes under free and open source software licenses.As of May 2017, it has over two billion monthly active users, the largest installed base of any operating system, and as of December 2018, the Google Play store features over 2. million apps. The existing system is sending marks through postal method. If the registered address is changed or altered, it will continue to be delivered to the same old address until the new address is updated. To solve this problem, an android app is created so that parents and students can view their respective internal marks and semester marks and also they can view the timetable and circular for the current semester.
PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SEBAGAI UPAYA MENINGKATKAN KEPUASAN DAN LOYALITAS PELANGGAN PADA GELORA MUKTI SPORT BERBASIS WEB

Gelora Mukti Sport still uses a conventional system in managing its products and customers. Conventional system causes inaccuracies in managing data item data, inventory and customer data. Increasig loyalty is done by providing good service. This study aims to increase consumer loyalty through the application of CRM. This study uses waterfall as method of developing system. The stages of the waterfall are analyzing system requirements, making system design, implementing systems, testing and operating and maintaining the system. The form of implementation of CRM applied at Gelora Mukti Sport is by giving discounts on certain days, giving points provided that they will get 10 points for one transaction, points with a certain amount can be exchanged for products or vouchers that have been provided, vouchers can be used to deduct the total amount of payment, and wallet is useful for payment of product orders where the wallet is obtained from refunds and means of criticism to provide criticism or suggestions for the Gelora Mukti Sport store. The application of CRM in this system is expected to be able to improve service so that it impacts on the increase of consumer loyalty.Keyword : Gelora Mukti Sport, operational CRM, Waterfall, loyalty, discounts, vouchers, wallet, web, customers
Educational Software Audit

This article describes an audit in the IT field, namely the audit of software using the example of Kazan (Volga Region) Federal University.The most significant goal of the audit is to discover the full list of programs installed on the enterprise's machines.This list should include all software products without exception: both used by employees to solve their daily questions, and those programs that were not used at all, but simply downloaded for interest.It is noted, including incorrectly deleted software that has retained its fingerprints in the system.In the work, a comparison was made of the most well-known and used products of Microsoft System Center Configuration Manager and Kaspersky Security Center and a comparative integration of all the information that collects these funds was performed.Collecting and processing data on the software installed on the machines of an educational institution is a time-consuming task.The system of automated software audit connects remotely to computers on the local network and accumulates data about the software installed on them.To improve this process, a program with the necessary interface has been written, which allows obtaining a database that contains data about all computers with the software installed on them.This will further make it possible to formulate recommendations for the further development of the computer park on the example of KPU.
PEMODELAN FAKTOR - FAKTOR PENYEBAB KEPARAHAN KORBAN KECELAKAAN LALU LINTAS DI KOTA AMBON DENGAN MENGGUNAKAN MODEL REGRESI LOGISTIK MULTINOMIAL

Traffic accidents are one of the main causes of the highest increase in mortality in Indonesia. This problem needs attention to anticipate the fall of the death toll in a traffic accident. So in this study, there are response variables and several predictor variables. The purpose of this study was to find out what factors influence the severity of traffic accident victims in Ambon city based on categories and model the severity of traffic accident victims in Ambon city based on significant factors using the Multinomial Logistic Regression method. In this study, the results obtained are factors that significantly affect the severity of the traffic accident victims are sex variables (X1), age (X1), education (X3) and type of vehicle (X5).
Improved Security for Data Sharing In Multi Cloud Storage (SDSMC)

Multiple Cloud storage has become one of the essential services of cloud computing. This Multi-Cloud storage models allow users to store sliced encrypted data in various cloud drives. Thus, it provides support for various cloud storage services using the single interface rather than using single cloud storage services. Cloud security goal primarily focuses on issues that relate to information privacy and security aspects of cloud computing. This latest data storage service and data moderation prototype focus on malicious insider's access on stored data, protection from malicious files, removal of centralized distribution of data storage and removal of outdated files or downloaded files frequently. Data owner does not necessarily need to worry about the future of the data stored in the Multi-Cloud server may be extracted or depraved. The other is ingress control of data. The proposed method ensures the file or data cannot get access without the knowledge or permission of the owner. This technique will offer a secure environment whereby the data owner can store and retrieve data from Multi-Cloud Environment without file merging conflicts and prevents insider attacks to obtain meaningful information. The experimental results indicate that the suggested model is suitable for decision making process for the data owners in the better adoption of multi-cloud storage service for sharing their information securely.I.
Enhanced GUI for Controlling &amp; Interfacing Network Connected 3D-Printer

Three-Dimensional Printing Machines based on Fused Deposition Modelling (FDM), Stereolithography (SLA) orSelective Laser Sintering (SLS) Techniques are simply not so easy to use like the traditional printers.In order to help people, embrace this contemporary technology in their day to day life and be a part of this ever-growing 3D Printing Community it is essential to provide an architecture to make using this Simpler for the User and provide with a better overall Experience using this machine.We plan to make our 3D printer remote. With all the remote limits we can print from any area and wherever using cloud propels. This suggests you don't should be physically present at the zone itself and you can print it from any area. This will make it less complex for organizations as 3D printing will make a lot of potential results appear. At last with time, we can in like manner use computerization, with the help of robotization, a 3D printer can do the larger part of its work separately and automation can later be used for future augmentations. Sought after by this, with the happening to machine learning, we can basically enhance the printer and wiser through the range of time. This entire procedure will be actualized inside a time span of two semesters. In seventh semester we will create different documentations. Following are the documentation that are being readied: Customer Correspondence, Achievability Examination, Framework Investigation, Programming Outline, Necessity Investigation. In eight semester we will execute equipment outline and programming plan. Likewise, the undertaking of consolidating the two will be done in the eighth semester. After such a lot of testing will be performed on the task. This Project aims to Implement a Graphical User Interface to run over a dedicated Server on a microprocessor running a 3D Printer which would facilitate and allow easy use of 3D Printers intended for use in this Mobile Environment while allowing the authorised to Monitor, Control, Command this Device seamlessly over the Internet. Implementation of this Application would also facilitate further development in the field of Internet of Things by forming the basis of usage of this device over the Internet This GUI runs based on a Multi-Threaded Environment to keep track of various Processes over the course of time. This project is a step to bring this handy tool a step closer to the consumers by making it easier to work with.
Peningkatan Motivasi Belajar dan Kemampuan Menulis Puisi dengan Media Audio Visual pada Siswa SMK

&lt;p class="normal" align="center"&gt;&lt;span lang="EN-US"&gt;Writing poetry learning is a productive learning activity. Based on the results of interviewing teachers, there are problems in writing poetry learning at Vocational High School 1 Sukoharjo, which is difficult for the students to determine the themes, the use of diction and the less different metaphors, and the mismatch of the message with the contents of the poem. Besides, the students' motivation in following the lesson is still low. This study aims to improve learning motivation and writing skills with audiovisual media. This research is class action research that is held two-cycle. Each cycle consists of action planning, action implementation, observation, and reflection. Data research sources are through learning activity, informan, and documents. The data collection techniques used are observation, interview, and test. The validity of data was investigated through triangulation techniques of data sources and methods. The data analysis technique used in this research are comparative descriptive techniques and critical analysis technique. The results showed that the use of audiovisual media could increase learning motivation by 5.71% in pre-action, 61,76% in the first cycle, and 97,14% in the second cycle. The use of audiovisual media can also improve students' poetry writing skills by 17% in pre-action, 66% in the first cycle, and 91% in the second cycle.&lt;/span&gt;&lt;/p&gt;
Mining Frequent Pattern On Big Data Using Map Reduce

Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and regularity in data. Although many efficient algorithms have been developed in this regard, the growing interest in data has caused the performance of existing pattern mining techniques to be dropped. The goal of this paper is to propose new efficient pattern mining algorithms work in big data. To this aim, a series of algorithms based on the Map Reduce framework and the Hardtop open-source implementation have been proposed. The proposed algorithms can be divided into three main groups.
Developing an effective beginning teacher support system for modern schools

In today's context when the paradigm of education is shifting it is becoming apparent that there is a need for the new requirements for teacher education and novice teachers' competence.It is becoming particularly important for teachers to be mobile, flexible, able to adapt to social changes, prepared for constant development and innovative challenges, capable of being achievement-oriented and demanding towards one's own reflective, intellectual, ICT and communication competencies.This article provides an insight into novice teachers' professional adaptation that takes place during their induction.Moreover, we highlight the main psychological and pedagogical difficulties that novice teachers face.Along with that we present the main forms of support for novice teachers.The main goal of this study is to provide novice teachers with necessary support facilitate their further professional development, promote their self-realization and professional ambitiousness.Our literature review showed that this issue has been in the center of attention of various scientific schools.Within this article we develop the following aspects: creating conditions for successful novice teachers' adaptation, identifying novice teachers' professional problems and developing the ways to prevent these problems in their future work, facilitating novice teachers' engagement in all spheres of school life, supporting their development as creative and unique individuals, encouraging their professional thinking and preparedness for innovation and modernization.All in all our study demonstrated the importance of the issue and all aspects related to novice teachers' adaptation in today's schools.
Real-Time Learning of Power Consumption in Dynamic and Noisy Ambient Environments

The usual approach to ambient intelligence is an expert modeling of the devices present in the environment, describing what each does and what effect it will have. When seen as a dynamic and noisy complex systems, with the efficiency of devices changing and new devices appearing, this seems unrealistic. We propose a generic multi-agent (MAS) learning approach that can be deployed in any ambient environment and collectively self-models it. We illustrate the concept on the estimation of power consumption. The agents representing the devices adjust their estimations iteratively and in real time so as to result in a continuous collective problem solving. This approach will be extended to estimate the impact of each device on each comfort (noise, light, smell, heat...), making it possible for them to adjust their behaviour to satisfy the users in an integrative and systemic vision of an intelligent house we call QuaLAS: eco-friendly Quality of Life in Ambient Sociotechnical systems.
Local Bus Transport Tracking using Android Applications

Local bus transport tracking is a live monitoring system by this application we can track local buses time to time and users can follow schedule and timings for buses. The proposed tool has potential to assist live monitoring using the current state share of the bus as an alternative to information. The uses of software tools meet the needs of public transport users