bluuebunny/crossref_metadata_2025_split huggingface dataset:
The opportunities of epistemic pluralism for Cognitive Translation Studies
Authors: Marín García Álvaro 
Published: September 2019

AbstractAs the object of study of Cognitive Translation Studies (CTS) expands to encompass social and cultural aspects of multilingual communicative events, scholars face the challenge of combining research methods and analytical perspectives to investigate cognitive phenomena. While plurality has been so far considered transitory, eventually converging on a unified theory of translation, I propose to adopt a functional assessment framework for competing models in order to endorse epistemic pluralism. The development of cognitive translatology as an emergent tradition combining multifarious approaches presents a new epistemological landscape in which epistemic pluralism can be embraced, fostered and practiced for the benefit of producing new knowledge. Far from being a relativist stance defending that all systems of knowledge are equally useful or appropriate, pluralism entails an assessment framework, which I introduce, so that we can improve our empirical designs and streamline our theoretical frameworks.
Physics of rowing oars
Authors: Labbé Romain , Boucher Jean-Philippe , Clanet Christophe , Benzaquen Michael 
Published: September 2019

Abstract
In each rowing sport (rowing, kayaking, canoeing), the oars have their very own characteristics most of the time selected through a long time experience. Here we focus on rowing and address experimentally and theoretically the problem of rowing efficiency as function of oar lengths and blades sizes. In contrast with previous studies which consider imposed kinematics, we set an imposed force framework which is closer to human constraints. We find that optimal oar lengths and blades sizes depend on sports and athletes strength, and we provide an optimization scheme.
A Methodology for the Synthesis of E-Commerce
Authors: Amri Imti Tsalil , Yamalia Ikke , Rico  , Rohayani Hetty , Lestari Dewi 
Published: September 2019

Abstract
Recent advances in real-time communication and relational modalities offer a viable alternative to the producer-consumer problem. After years of theoretical research into the partition table, we show the refinement of the location-identity split, which embodies the robust principles of operating sys-tems. In order to fix this issue, we propose new scalable archetypes (Gunnel), demonstrating that multi-processors and multi-processors are never incompatible.
Philosophy of Fuzzy Logic as Fundamental of Decision Making Based On Rule
Authors: Marbun Murni , Ramdhan William , Priyanto Dadang , Zarlis Muhammad , Nasution Zulkifli 
Published: September 2019

Abstract
The logic of talking about rules of thought so that these rules can draw correct conclusions, but in reality in everyday life many things are found that cannot be stated that something is absolutely true or absolutely false. This study aims to explain that the philosophy of fuzzy logic is the basis for decision making based on IF-THEN rules. Related to the role of philosophy of science as the basis for the development of fuzzy logic, it cannot be separated from ontology, epistemology and axiology. The findings of this study are Ontology covering decision making and rules for decision making. Decision making is an election based on certain criteria for two or more possible alternatives while decision making rules are fuzzy rules in the form of IF-THEN. While epistemology of fuzzy logic is related to how the process to get output, how are the stages to take decisions. The process of getting output consists of fuzzification and inference. The output obtained by the Z ∗ value of 38541.67 and the rule-based fuzzy logic axiology in giving restaurant waiter tips is useful to be able to determine the total cash of tips that will be given to the restaurant waiter. The total cash of appropriate tips given based on service and food to the restaurant waiter is Rp.38.541.
Company attendance and access control system based on radio frequency identification
Authors: hamad Qusay shihab , Taha Ahmed Majid , AbdulRazzaq Atheer Akram 
Published: September 2019

Abstract
one of the popular things among succeeded companies is an automated system. The reasons behind using the automated system are to reduce human errors, work and to gain efficiency. The design focused on building an automated system for access control and attendance monitoring by the use of RFID technology. all the companies that still doing mural attendance will get a great help when it used the proposed system. this paper used RFID (tags, reader), microcontroller to collect data, ZigBee technology for transmitting and receiving data wirelessly, computer as a control station. the program at control station was written by using Visual C# and connect with database (DB) MSSQL server to store employees’ numbers (RFID tags) and used for attendance calculations. The initial results of the proposed system appear a high profit in time-saving and cost when compared with traditional systems. cost divided into two parts, firstly: a price of ZigBee device, secondly: security men
Mini Robot for Calibration of Stopwatch/Timer
Authors: Perangin-Angin W K , Agmal S , Boynawan M , Pawestri Y I , Ratnaningsih  , Hapiddin A , Azzumar M 
Published: September 2019

Abstract
Many industries use stopwatch/timer as instrument for measuring time in production process. To support the quality of product of industries, the stopwatch/timer should measure the time accurately. The accuracy of the stopwatch/timer can be known through calibration to a reference standard. Therefore, a stopwatch/timer should be calibrated first before used as instrument for measuring time. Research Center for Metrology (RCM) - LIPI as National Metrology Institute of Indonesia has responsibility to build measurement traceability in Indonesia, included measurement traceability for time. RCM - LIPI did calibration of stopwatch/timer manually. The operator responses in manual calibration that called as human reaction time contribute to inaccuracy of measurement result. Recently, an innovation for automation of calibration system of stopwatch/timer has been built to eliminate the human reaction time. The automation system has been designed and built using robotic arm and mini robot car. The aim of this system is to increase the efficiency and accuracy of stopwatch/timer calibration. The robotic arm is used to press the button of stopwatch/timer, and the mini robot car is used to press a reference standard universal counter The measurement result of time from the universal counter and stopwatch/timer are recorded automatically using a camera. The accuracy of the stopwatch/timer calibration has been increased by using the automation system. The system supports the improvement of the quality of industry products.
Effect of Zn(O,S) Synthesis Temperature to Photocatalytic Hydrogen Evolution Performance
Authors: Abdullah Hairus , Gultom Noto Susanto , Kuo Dong-Hau , Saragih Albert Daniel 
Published: September 2019

Abstract
About 80% of global energy demands had been fulfilled with the utilization of fossil fuels and accordingly, CO2 amount in the air had been increased to 406 ppm (∼40% higher than pre-industrial level). Therefore, to find clean, renewable, and carbon-free alternative energy sources such as hydrogen energy is greatly needed. In this work, hydrogen was photo-catalytically evolved with Zn(O,S) nanoparticles (NPs) in 10% ethanol as a hole scavenger reagent without Pt as a co-catalyst under low UV light illumination. To find out the optimum processing temperature, Zn(O,S) NPs were prepared in three different temperatures (50, 70, and 90 °C) with 4-h reactions in aqueous solution. The as-prepared catalysts were tested for their capabilities to evolve hydrogen and the experimental data revealed the produced hydrogen amounts were enhanced as the processing temperature increased. It was also found that the as-prepared catalysts were reusable and stable, although the colour of catalyst was changed from white to grey during the photocatalytic hydrogen evolution reaction (HER) and was changed back to white colour after HER was accomplished. The change in catalyst colour indicated the formation of oxygen vacancy on catalyst which further enhanced the HER. The highest amount of evolved hydrogen achieved 2.7 mmol/gh.
Optimization Consumer Cost of Food Industry with Perishable Characteristic
Authors: Rizkya I , Nasution A A , Syahputri K , Sari R M , Siregar I , Erwin  
Published: September 2019

AbstractFood product has time limit usage, namely expired date. The time limit for product usage (expiration) is one of the factors affects the number of inventory and total inventory costs. Expiration factors are important in planning because they do not only affect the costs to the company but also includes product safety issues when consumed. Products are close to expirate date will decrease in sales value until they have no value at all. Expiration factors must be considered in determining the optimal number of inventory capable to minimize the number of expired products and minimize the number of lost sales. This paper describes the Q method approach to obtain optimal order size capable to minimize expired products and lost sales to the consumer. Q model approach is used for product inventory models are undurable. The product inventory model for undurable product calculates the inventory not only minimize due to demand but also due to damage. The study was conducted to minimize the total costs by consumers cost and considering expired factors and lost sales. The results obtained in this article shows that the total cost of consumers is IDR 3.430.756/month and acceptance frequency is 22 times per month.
Expert System for Diagnosis Chicken Disease using Bayes Theorem
Authors: Sihotang Hengki Tamando , Riandari Fristi , Simanjorang R.Mahdalena , Simangunsong Agustina , Hasugian Penda Sudarto 
Published: September 2019

Abstract
Chicken disease is a condition in which the body organs of chickens cannot function normally. Diagnosing a disease requires symptoms that appear on the chicken’s body. To conduct a disease diagnosis, further examination is needed by specialists (experts). An expert system is a system that uses human knowledge that is entered into a computer to solve problems that are usually resolved by experts. The system created in solving problems uses the Bayes Theorem method in which the inference process uses Forward Chaining. The application was developed using the visual basic 2010 programming language and MySQL database.
Design and implementation of mapping public waste disposal in jambi city with geographical information system based on android application
Authors: Oktarino Ade , Listautin  , Siagian Saut 
Published: September 2019

AbstractThis system is an application that is expected to give the solution of the problems currently faced by the Agency in Jambi City. This system is designed to be as can be used by users to send problems regarding the waste disposal to the Jambi City Agency and can be used to find the location of the public waste disposal that is closest to the user’s location by using Android; can be used by the Jambi City Agency’s staff to make the Jambi City to be cleaner if there is a problem regarding the public waste disposal that sent by the user; and can be used anywhere, because this application is designed and can run on Android-based smartphones.
Analysis of the K-Means Algorithm on Clean Water Customers Based on the Province
Authors: Windarto Agus Perdana , Hasan Siregar Muhammad Noor , Suharso Wildan , Fachri Barany , Supriyatna Adi , Carolina Irmawati , Efendi Yoyon , Toresa Dafwen 
Published: September 2019

Abstract
One of the important needs of environmental health is clean water. Clean water is the most important necessity of living beings in supporting survival. The study aimed to cluster the number of cleaned water customers by province (1995-2015). The method used is data mining clustering using k-means. The sample data used 34 provinces with attribute assessment of the number of cleaned water customers by province. The clustering process is done with 3 clusters, namely (C1) Cluster High, (C2) Cluster Normal and (C3) Cluster Low, for the number of cleaned water customers who are low on the need of clean water. The results showed, C1: 6 provinces, C2: 4 provinces and C3: 24 provinces. The end centroid values used are: C1 (296587.22), C2 (995898.56) and C3 (70832.29). The results obtained on the Davies-Bouldin index for “the number of cleaned water consumers” are -0.470. based on performance results, it can be concluded that k-means algorithm is best because it has the smallest Davies-Bouldin index value. Based on research results, 70% of Indonesian people are still low awareness of the need for clean water.
C.45 Classification Rules Model for Determining Students Level of Understanding of the Subject
Authors: Katrina Wiwiek , Damanik Habibah Jayanti , Parhusip Friskila , Hartama Dedy , Windarto Agus Perdana , Wanto Anjar 
Published: September 2019

Abstract
This study aims to classify the level of understanding of students at STIKOM Tunas Bangsa. Data obtained from the results of even semester semester student questionnaires, with data samples of 165 students. The attributes used are 5, namely communication (C1), learning atmosphere (C2), learning media (C3), appearance (C4) and teaching methods (C5). The method used in this research is C4.5 Algorithm and processed using RapidMiner software to make decision trees. From the results of the study obtained eight rules to determine the level of student understanding, 4 rules understand and 4 rules do not understand. The C4.5 algorithm is accurately applied to determine the level of understanding of students with an accuracy rate of 87.50%. With this analysis, it is expected that it can help institutions in improving the quality of education through the performance of lecturers in the teaching and learning process. So as to produce STIKOM Tunas Bangsa graduates who are rich in knowledge and useful for the community.
Analysis of the ELECTRE Method on the Selection of Student Creativity Program Proposals
Authors: R.H Zer P.P.P.A.N.W Fikrul Ilmi , Masitha  , Windarto Agus Perdana , Wanto Anjar 
Published: September 2019

Abstract
Creativity is a potential that is owned by every human being and not received from outside the individual. Human creativity, born together with the birth of the human being. Student Creativity Program is one form of effort carried out by students and lecturers in improving the quality of students’ education in universities so that they can apply, develop, and disseminate knowledge, technology and culture and enrich national culture. This study aims to analyze the selection of proposals that are eligible to be submitted to the Directorate General of Learning and Student Affairs, Ministry of Research Technology, and Higher Education through the url https://simbelmawa.risteldikti.go.id using the ELECTRE (ELimination and Choice Expressing Reality) method by using 8 assessment criteria namely Title (C1), Abstract (C2), Introduction (C3), Objective (C4), Method (C5), Results and Discussion (C6), Conclusions (C7), Bibliography (C8). And the results of the study obtained 10 proposals worth submitting from the 15 proposals selected. The results of this study can answer the formulation of the problem and become a recommendation in the selection of the Student Creativity Program which aims to improve the quality of students and improve the value of accreditation for related institutions, especially in the STIKOM Tunas Bangsa environment.
Decision Tree Optimization in C4.5 Algorithm Using Genetic Algorithm
Authors: Damanik Irfan Sudahri , Windarto Agus Perdana , Wanto Anjar , Poningsih  , Andani Sundari Retno , Saputra Widodo 
Published: September 2019

Abstract
The importance of efficiency in the space of search rules C4.5 decision tree algorithm has been the focus of a lot of researchers. Therefore, the development needs to be conducted to form a new, more efficient method but it can not be separated from the accuracy of the analysis as the results of the algorithm itself. For that purpose, by using a genetic algorithm (GA), it is expected to optimize and simplify the search rules of more complex combinations. The use of C4.5 with Hybrid genetic algorithm in search of a more effective rules requires a better understanding and a long time. But the use of the two algorithms will be mostly effective if the cases faced are very complex, having more branching condition and highly accurate.
Analysis of Backpropagation Algorithms in Predicting World Internet Users
Authors: Setti Sunil , Wanto Anjar , Syafiq Muhammad , Andriano Andriano , Sihotang Bil Klinton 
Published: September 2019

Abstract
The internet is now a primary need for its users. According to the e-Marketer market research institute, there are the top 25 countries with the most internet users in the world. Indonesia is in the sixth position with a total of 112.6 million internet users. With the increasing number of internet users, it is expected to be able to contribute to advancing the economy and education in a country. To be able to increase the number of internet users, especially in Indonesia, it is necessary to predict in the coming years so that the government can provide adequate facilities and infrastructure in order to compensate for the growing number of internet users and as a precaution when there is a decrease in the number of internet users. The data used in this study focus on the data on the number of internet users in 25 countries in 2013-2017 sourced from the Indonesian Ministry of Communication and Information. The algorithm used is the Backpropagation Neural Network. Data analysis was performed using Artificial Neural Network method using Matlab R2011b. This study uses 5 architectural models. The best network architecture produced is 3-50-1 with an accuracy rate of 92% and the Mean Squared Error (MSE) value is 0.00151674.
Randomized quasi Monte Carlo methods for pricing of barrier options under fractional Brownian motion
Authors: Murwaningtyas Chatarina Enny , Kartiko Sri Haryatmi , Gunardi  , Suryawan Herry Pribawanto 
Published: September 2019

Abstract
Randomized quasi-Monte Carlo (RQMC) method is presented to compute the problem of a barrier option pricing. It is assumed that stock prices are modeled with a fractional Brownian motion (FBM). The FBM is a Gaussian process with dependent and stationary increments except H = ½. The FBM can model stock prices with short or long memory. We propose a trajectory generation technique based on fast Fourier transforms to simulate stock prices modeled by FBM. A stock price trajectory is utilized to predict pricing of barrier options. Barrier options are options whose payoff function depend on the stock prices during the option’s lifetime. Using the results of the stock price trajectory and RQMC method can be determined the price of a barrier option under FBM. We conclude that RQMC is an efficient technique for calculating the price of barrier options rather than a standard Monte Carlo (MC).
Analysis of Backpropagation Method with Sigmoid Bipolar and Linear Function in Prediction of Population Growth
Authors: Siregar Eben , Mawengkang Herman , Nababan Erna Budhiarti , Wanto Anjar 
Published: September 2019

Abstract
Backpropagation method is an artificial neural network method that is often used for prediction. However, the use of activation functions and training functions greatly affects the accuracy of a prediction. In this study will discuss the backpropagation method by applying the activation function of Sigmoid bipolar and linear to predict population growth in Simalungun regency, Indonesia. The purpose of this paper is to look at the level of population growth in the district so that the government has a benchmark in determining policies so that a surge in population growth can be minimized and that the government pays more attention to the level of welfare of its population. As for academics, this research can be used as input if you want to do a prediction or forecasting with different cases. The data used in this paper is population density data in Indonesia’s Simalungun district, which is sourced from the Simalungun regency statistics center of Indonesia. This study uses 5 architectural models, namely 3-5-1, 3-10-1, 3-5-10-1, 3-5-15-1 and 3-10-15-1. Of these 5 models, the best architectural model is 3-5-10-1 with an accuracy of 97% and an MSE value of 0.00034833. Minimum Error 0,001-0,01 and learning rate 0,01.
Monitoring the Value of Water Quality and Condition Parameters Using the Open Sensor Aquarium
Authors: Siregar B , Rachman F , Efendi S , Sulindawaty  
Published: September 2019

Abstract
One technology that can be applied in hydroponic farming systems is sensing. Sensors used in this research are pH, electrical conductivity, water level, and temperature sensor. The First Come First Served (FCFS) algorithm is used to help scheduling data plotting. In order to be serviced by the processor, data entities in the queue must wait until all previous processes have been completed. The final test results show that the average success of the system succeeded in activating the actuator to operate the feeding was 92.5% and operating the heater to warm the water temperature was 83.33% for the 720-hour testing period. All sensing data also successfully plotted in graphical form for each of the results of sensing the pH value, water temperature, and electrical conductivity in water.
Decision Tree Optimization in Data Mining with Support and Confidence
Authors: Buaton Relita , Mawengkang Herman , Zarlis Muhammad , Effendi Syahril , Hara Pardede Akim Manaor , Maulita Yani , Fauzi Achmad , Novriyenni N , Sihombing Anton , Lumbanbatu Katen 
Published: September 2019

Abstract
Decision Tree is a classification technique in data mining that aims to predict behaviour from database. This goal is supported by several algorithms, one of which is Iterative Dichotomiser 3 (ID3) that displays predictions in a tree structure. With the application of decision trees, warehouses or heaps of data can be processed so as to produce rules or decision trees as decision support in solving problems faced by agencies. In fact, the information or rules produced by decision trees are limited to rules using the logic of propositions. The challenge in making decisions on decision trees is how to determine algorithms with a high degree of accuracy from various algorithms in the decision tree and how to find support and confidence for each rule produced by the decision tree to add support value and confidence level of each rule produced. The resulting rule has weaknesses, namely the unavailability of support and confidence, all rules are considered equal in strength based on data before being processed, found records that vary or different amounts of data. By making support and confidence, it will be easier to make decisions based on the results obtained.