Reviewerly/exHarmony huggingface dataset:
Implementasi Metode Prototyping pada Perancangan Aplikasi Electronic Ticket (E-Ticket) berbasis Android

Public transportation is currently starting to experience very rapid development. This development is due to the increasing public demand for safety and comfort on the journey. Presentation of bus ticket availability information at this time is still manual, so potential users must come to the agent to find out the availability of tickets and make ticket reservations so that it is not uncommon if there are users who run out of bus tickets because the user does not get information directly. To facilitate prospective users in booking tickets and searching for bus departure information, an Android-based bus ticket booking application was built. This application was designed using MySQL, Adobe Dreamweaver and Android Studio. The system development method used in this study is the prototyping method. As for the testing method using BlackBox Testing. This method is used to find out if there are performance errors on the system. The purpose of this application is to make it easy for prospective bus users to search for buses and order tickets so they can be done anywhere and anytime without being bound by time and place.
Early Childhood Bilingualism: The Myths, Truths, and Implications in English Language Learning in Pontianak

The paper explicates the immediate concern of gaining a deeper insight of language acquisition in the early childhood bilingualism in the setting of Pontianak city, a multi-ethnic city located in West Kalimantan, Indonesia. It is written through descriptive method or library research to provide the readers, especially the parents and teachers with better insights into a basis for decision making about raising and educating children bilingually. The first part elaborates on four myths, namely the myth of the monolingual brain, the myth of time investment, the myth of bilingualism and language impairment; and the myth of minority language children. It is followed by the argumentative support by the experts in the fields based on the literature review. Next, discussions are presented as a whole, pointing out some of significant implications for parents and teachers. Finally, an overall conclusion of the paper coverage is provided.
ANALISIS KARAKTERISTIK SEDIMEN DENGAN METODE XRD DI SUB DAS JERU, PACE, DAN PAKISAN KABUPATEN BONDOWOSO

One of the things that can be a problem in reducing operational functions of weirs is sediment.In addition to controlling sedimentation by building mud bags, to reduce the occurrence of sedimentation in weirs, we need to know how to reduce the sediment that enters the weir.This research is a study of the characterization of sedimentary minerals on the left and right side of the Sampean Baru Dam and 3 subwatersheds in the Sampean River with the highest erosion, namely: Jeru Subwatershed, Pace Sub-watershed, and Pakisan Sub-watershed.The method of sediment sampling is done by purposive sampling, so that samples taken represent all layers of the population in reservoirs and tributary areas and have essential characteristics of the area so that it is quite representative.Furthermore, in analyzing sediment samples, the XRD method was used to determine sub-watershed information with the highest sediment contributors.Based on the sample test and analysis carried out from all different locations showed the presence of Ankangite, Cristobalite, Cu2 Fe2 (Ge4 O13), potassium azdotetrazolate, and Thallium tetrafluoroaluminate.Among these minerals Cristobalite and Cu2 Fe2 (Ge4 O13) have the highest percentage and are present in all samples.
Analyzing and Simplifying Log Files using Python

Nowadays computer security has become an important subject that it discusses about detection and prevention of computer systems from unauthorized access and also human around the world whom have access to internet transmit their sensitive data through internet, all these activities of users during using computer systems and internet are logged into log files which log files have a key role to find information about attacks and unauthorized access to the systems and servers.In today's computer systems, a massive number of various logs is produced, which these logs can be security log or any other type of logs.Analyzing these logs can help an investigator to find useful information about system vulnerabilities and using techniques to prevent them. The purpose of this study is simplifying and analyzing log files by YM LogAnalyzer tool, developed by python programming language, it's been more focused on server-based logs (Linux) like apace, Mail, DNS (Domain name System), DHCP (Dynamic Host Configuration Protocol), FTP (File Transfer Protocol), Authentication, Syslog, and History of commands logs.This program has two versions, Script version and Graphic version which the script version is used in servers with no GUI and the graphic version for Desktop user.Using this tool, the administrator is able to find what is happening in systems and realize the importance of log file in systems security.
Soft Computing for Scalability in Context Aware Location based Services

Ubiquitous computing blended with context awareness gives user the facility of "anywhere anytime" computing.Location based services represents a class of context aware computing.Involvement of location as the primary input in location based services triggered concerns for user's privacy.Most of the privacy work in domain of location based services relies on obfuscation strategy along with K anonymity.The proposed work acknowledges the idea of calculating value of K for K anonymity using context factors in fuzzy format.However, with increasing number of these fuzzy context factors resulting in more fuzzy rules, the system will tend to get slower.In order to address this issue, requirement is to reduce the size of rule base without hampering the performance much.Goal of the proposed work is to attain scalability and high performance for the above said system.Towards this, reduction of number of rules in the rule base, of fuzzy inference system has been done using Fuzzy C Means and Genetic Algorithm.Results of reduced rule base have been compared with the results of exhaustive rule base.It has been identified that number of rules can be reduced up to considerable extent with comparable performances and acceptable level of error.
DEVELOPMENT OF MACAMI (MARI MEMBACA DAN MEMAHAMI) INSTRUMENT USING MACROMEDIA FLASH 8 IN PRIMARY SCHOOLS

The background of this research is an instrument of learning for reading comprehension which in general is still dominated by an instrument in the form of print out which makes the students’ interest to read is reduced. In addition, this instrument is usually done manually or handwritten so that the students’ work must be corrected manually and require some time to get the results. This study aims to develop instruments or measuring devices for reading comprehension in the Primary School in Pekanbaru and find out the feasibility of measuring devices for reading comprehension skills. This product is Macromedia Flash 8 based namely "MaCaMi" which stands forMari Membaca dan Memahami. The research method used was the 4D model with four stages, such as the define stage, the design phase, the develop phase, and the dessiminate stage which is limited to the third stage. The data of this study were obtained from product design expert validation questionnaire, questionnaire validated by linguists, teacher response questionnaire and students response questionnaire. The data were generated quantitatively and analyzed by using the assessment criteria to determine the product quality. The results of this study showed the assessment of product design experts in draft 1 had an average percentage of 69.61% with the appropriate category then had increased in draft 2 to 90.56% with the very feasible category. The results of the feasibility test by linguists in draft 1 with had average percentage of 95.30% with the very feasible category then increased in draft 2 to 97.20% withn the very feasible category. The results of the teacher's response to the reading comprehension measuring instrument in the Primary School in Pekanbaru developed by researchers obtained an average percentage of 93.50% with a very good category and the results of students' responses to the measuring instrument obtained an average percentage of 89.90% with a category very good. Based on these results, it can be concluded that the product developed by researchers is feasible to be used as a measure of reading comprehension ability of primary school students.
Cumulative constraint interaction and the equalizer of OT and HG

We show that, in general, Optimality Theory (OT) grammars containing a restricted family of locally-conjoined constraints (Smolensky 2006) make the same typological predictions as corresponding Harmonic Grammar (HG) grammars. We provide an intuition for the generalization using a simple constrast and neutralization typology, as well as a formal proof. This demonstration adds structure to claims about the (non)equivalence of HG and OT with local conjunction (Legendre et al. 2006, Pater 2016) and provides a tool for understanding how different sets of constraints lead to the same typological predictions in HG and OT.
Using Fuzzy-Logic in Decision Support System based on Personal Ratings

The decision making process of selecting a service is very complex.Current recommendation systems make a generic recommendation to users regardless of their personal standards.This can result in a misleading recommendation because different users normally have different standards in evaluating services.Some of them might be harsh in their assessment while others are lenient.In this paper, we propose a standard-based approach to assist users in selecting their preferred services.To do so, we develop a judgement model to detect users' standards then utilize them in a service recommendation process.To study the accuracy of our approach, 65536 service invocation results are collected from 3184 service users.The experimental results show that our proposed approach achieves better prediction accuracy than other approaches.
The Implementation of Project-Based Learning’s Speaking Skill for Tenth Grade Vocational High School Students

Project-Based Learning (PBL) is one of strategies which English teachers use in teaching oral activities. The activities which can be implemented in PBL are discussion, conversation, presentation (individual or group), role-play, and others. It also can be an aid in studying and teaching. Based on previous research, using PBL technique can improve students’ speaking ability for second graders of SMPN 1 Kawedanan, Magetan by Permatasari (2013). Because of that, the researcher implements the teaching of speaking using PBL at SMK Dian Indonesia, Sidoarjo. The descriptive qualitative is used as a design of this research. The subject of the research is 20 first-grade students of nursery class, from the academic year 2015/2016. There are three instruments used to collect the data. First is the documentation of related lesson plan and syllabus, second is the observation of field-notes, third is a questionnaire for the students. PBL in teaching speaking is found helpful to regulate students’ ideas and stimulates the group presenter to extend the statement using their own words. PBL was interesting for them, because the researcher gives occasion for them to choose their own topics. They found themselves interested, happy, joyful, and comfortable during the implementation of the PBL because the process of teaching and learning is designed appropriately with the students’ ideas. To gain an effective teaching speaking using PBL, students needed to be active in making collaborative discussions, and giving feedbacks to each other, so that they can build social relationship. The PBL activities have made students build knowledge and think critically.
Implementasi Multilayer Perceptron Pada Jaringan Saraf Tiruan Untuk Memprediksi Nilai Valuta Asing

Abstract. In the context of FOREX investment, the fluctuation of currency becomes a common thing in which movement is greatly influenced by supply and demand. If the demand is higher, the price will increase and conversely, if the supply is higher, the price will go downward. There is a principle that the behavior of price patterns will repeat randomly and make unpredictable movement of FOREX. These patterns of currency fluctuation have deceived many investors and brought losses and even capital failure. Basically, the value of foreign exchange belongs to the data of time series and Multilayer Perceptron is very suitable to process data of time series as it is often used to make prediction. Therefore, this research aimed at implementing Multilayer Perceptron in the artificial nerve network for predicting the value of foreign exchange on the available resources using the attributes of open, high, low, and close. To process the data from the existing attributes, there must be initialization first in X1 (open), X2 (high), and X3 (low) as the inputs and Y (close) as the data target, and then they were normalized so as to calculate sigmoid. The increasing number of epoch does not guarantee that the errors will be smaller. On the contrary, perhaps, the error value will increase. The best result of training occurred by epoch 200 and learning rate 3 within the smallest values of MSE 281.02518, MAD 13.168, and deviation standard 10.294.
A NEW APPROACH TO INCREASE LZW ALGORITHM COMPRESSION RATIO

Data compression techniques are widely used as it reduces the consumption of exclusive resources.LZW is one of the widely used lossless compression algorithm for this purpose.The paper attempts to increase compression ratio of the LZW algorithm by proposing new approach.
Generalized Dai-Yuan conjugate gradient algorithm for training multi-layer feed-forward neural networks

In this paper, we will present different type of CG algorithms depending on Peary conjugacy condition. The new conjugate gradient training (GDY) algorithm using to train MFNNs and prove it's descent property and global convergence for it and then we tested the behavior of this algorithm in the training of artificial neural networks and compared it with known algorithms in this field through two types of issues&#x0D; &#x0D; http://dx.doi.org/10.25130/tjps.24.2019.020
L1 Norm Based Computational Algorithms

This paper gives a rather general review of the L1 norm algorithms. The chronology and historical development of the L1 norm estimation theory for the period of 1632-1928 will be surveyed and the algorithms belonging to the after 1928 period will be categorized into three main classes of direct descent, simplex type, and other algorithms.
The Role of Organizational Culture in the Process of Students’ Identification with a University

The article presents the results of the research conducted in one of the top-ranked universities in Russia. The paper aims at identifying the relationship between the levels of identification and of students’ adherence to the university and their perception of organizational culture. The study reveals the peculiarities of students’ perception of culture and differences from their own ideas about it. There is measured the degree of the respondents’ identification with the organization and, as a result, the degree of their adherence to the university. The survey demanded three methods to be applied and 150 people to participate. The data have been processed with the help of various statistical methods (dispersion, correlation, factor, and regression analysis). The results show the discrepancies in students’ ideas of the prevailing culture, but at the same time a general tendency to their positive relationships with the university. The interest in the discussed questions of the research is related to the role of an educational institution’s image in the aspects of management and attractiveness for its students. Modern universities are considered to be a type of organizations, which provide educational services and therefore are forced to compete with others at the market. As a result, they are required to find optimal solutions and to create competitive advantages according to the expectations of potential «customers». The paper describes a case of undergraduate students, which allows us to draw conclusions about the peculiarities of the organizational culture and the image of the university as influencing students’ loyalty. The fact of a loyal attitude is considered to be an advantage necessary for a modern university to save and strengthen its own positions at the educational services market, as well as to form a development strategy based on analyzing the current situation.
Analisis, Perancangan Layanan Terpadu e-Mall multi_mitra teknologi SOA menghadapi PandemiCOVID-19

The progress of the development of information technology, communication and SOA (Service Oriented Architecture) that is very fast making all activities of aspects of human life must follow. Especially creating long distance shopping and transactions, one way to avoid the crowds and chaos of people when conditions (epidemics that are simultaneously contagious everywhere, covering large geographical areas) the COVID-19 pandemic. Among them are business, business, education, and other activities. Constraints developing applications, it is very difficult and expensive and requires a long time due to differences in platforms between applications and limited access to the server for the security of the server itself. SOA can solve this problem, can make existing programs become service oriented. This can be done with programs that have been built in a modular manner so that it is enough to only add web services techniques in them. Then a service interface is created without changing the logic of the program. Thus the testing is sufficient on the interface, while the function / logic in it does not need to be tested again because it does not change. SOA integrates and accelerates Multi-Partner business processes, all of which can improve efficiency in all fields. Based on this fact this research was conducted. The research method begins with a literature study, and documentation of related journals as a reference source for analysis. Then proceed with direct observation, conducting interviews with several Mall partners; store owner, banks, residents / customers in the Mall (the author is not allowed to mention the name of the store owner, customer name, name of the store owner, and the name of the Mall) to get the required data Modeling the system design process of the Unified Modeling Language, Enterprise Architect and tenology used by SOA. The system development method uses Prototype. The end result of this research (study) is expected to be used by related parties in developing remote transactions and other parties interested in SOA .
Design and Implementation of Air Selection based Augmented Reality Serious Game for Learning Capability Analysis

Rising advancements and ICT have changed the way of life of society, every single logical zone are exploiting innovation to get a genuine improvement. Specialists understand the advantages of utilizing genuine games as a dependable device in psychoanalyst. Hence, the exploration looks at important issues in regards to Dyspraxia issue in youngsters and presents a similar report in the treatments strategies by utilizing a non autonomous riddle and by utilizing the game, a Serious Game created in the intension of helping kids suffering from Dyspraxia to enhance their engine aptitudes and deftness through innovation. The investigation of information results indicated that exist a critical distinction among the two strategies, demonstrating that youngsters spending time with Serious Game got little schedule in the movement running and furthermore enhanced execution.
Directed-Weighting Group Lasso For Eltwise Blocked CNN Pruning.

Eltwise layer is a commonly used structure in the multi-branch deep learning network. In a filter-wise pruning procedure, due to the specific operation of the eltwise layer, all its previous convolutional layers should vote for which filters by index should be pruned. Since only an intersection of the voted filters is pruned, the compression rate is limited. This work proposes a method called Directed-Weighting Group Lasso (DWGL), which enforces an index-wise incremental (directed) coefficient on the filterlevel group lasso items, so that the low index filters getting high activation tend to be kept while the high index ones tend to be pruned. When using DWGL, much fewer filters are retained during the voting process and the compression rate can be boosted. The paper test the proposed method on the ResNet series networks. On CIFAR-10, it achieved a 75.34% compression rate on ResNet-56 with a 0.94% error increment, and a 52.06% compression rate on ResNet-20 with a 0.72% error increment. On ImageNet, it achieved a 53% compression rate with ResNet-50 with a 0.6% error increment, speeding up the network by 2.23 times. Furthermore, it achieved a 75% compression rate on ResNet-50 with a 1.2% error increment, speeding up the network by 4 times.
Case Studies of Machine Learning Applications in Retail, Hospitality, Education and Insurance Sectors

Machine Learning & Deep Learning techniques have been put together in the form of "Lego Blocks" to create value-added solutions for customers as well as business owners across four different industry sectors, i.e.Retail, Hospitality, Education and Insurance.Chatbots and voice bots address multiple use cases like answering FAQ queries, providing guidance to users on specific transactions and invoking external web services.Pattern recognition & image recognition are shown to automate some tedious and error-prone activities.Topic modeling activities enable automated discovery of areas where new service offerings can be created based on customer inputs.
Bahasa Indonesia for Foreigners (BIPA) Text Books Challenges to Prepare Students’ Readiness in the Working World

Education system in Industrial Revolution 4.0 is being challenged to prepare students to be wellequipped with the 21st century skills.In addition to thiscompetitive globalization era, teaching of Bahasa Indonesia as a foreign language has come to the need of conformity of learning material to the working world. This paper will describe the impacts of “Sahabatku Indonesia - BIPA diplomacy material for Thai speaker” textbook to students of year 1 in Naresuan University. The use of learner-centred and teacher-friendly language textbook is still in debate among language teachers, publishers, as well as ministries of education across the globe (Tomlinson, 2012). The finding does not show the relation of learning material in text books to the needs in the working world, however, the findings describe the effectiveness of topical units in the text book that help students to acquire better understanding to the language, Indonesian people and culture, and arouse students’ interests to learn further studies of Indonesia and Bahasa Indonesia, which then in turns will be beneficial forthem in their working world.