bluuebunny/crossref_metadata_2025 huggingface dataset:
Baltic amber inspection: micro-macro-structural and luminescent analysis
Authors: Verkhovskaia Iana
Published: December 2019

The solution of the problem of amber (succinite) flaw detection by microscopic analysis and luminescent analysis of amber macrostructure is proposed. The proposed method allows to obtain a rapid analysis of the defective state of the material structure. Given the growing demand for the use of such materials on an industrial scale and the insufficiency of existing methods, the proposed method may be a new solution to the problem of flaw detection. The basis of the proposed method for studying the macro structure of amber is transmission spectroscopy, luminescent analysis method. Samples of raw, heat-treated and pressed amber of the Palmniken Deposit obtained in the city of Kaliningrad of the Russian Federation were used as objects of research. Samples of different degrees of transparency and heat treatment were selected. It is established that the distinctive luminescence intensity at the defect boundaries is a characteristic of the presence of internal defects of the material and indicates the location of internal fractures, microcracks and other mechanical damage. The proposed method may be of interest in the theory of knowledge of materials science, research related to the processes of flaw detection of organic materials.
Game theory for the formation of a cluster risk management strategy
Authors: Vertakova Yulia , Izmalkova Irina , Leontyev Evgeniy
Published: December 2019

The actual direction of scientific research in the field of risk management, today, is the formation of an effective strategy for managing the risks of economic activity, taking into account the peculiarities of the activity of the enterprise of the cluster structure in modern economic conditions, characterized by the variability of the economic environment and pronounced crisis phenomena. This article proposes and tests the tools for the formation of an adaptive risk management strategy for enterprises that are part of cluster structures, based on the provisions of game theory.
Prospects of diversification and ensuring energy safety of Uzbekistan
Authors: Allaev Kahraman , Makhmudov Tokhir
Published: December 2019

The data on the current state of energy in Uzbekistan are given. The need to diversify the structure of the energy balance of the republic is shown, which ensures the energy security of the state in the medium and long term. It is argued that the construction of a nuclear power plant in Uzbekistan is not only expedient, but also necessary. In the future, renewable energy and nuclear power plants will become the basis of energy in Uzbekistan.
Approaches to establishing voltage control requirements for distributed generation units
Authors: Ilyushin Pavel , Berezovskiy Petr , Filippov Sergey
Published: December 2019

Analysis of Russian national regulation and technical standards requirements for generating equipment participation in voltage and reactive power control in the power system carried out. Summary of some international experience in voltage control organization under conditions of distributed generation units’ deep integration in public grid is presented in article. Advantages of voltage and reactive power control automation over decentralized and poorly coordinated control are substantiated. Problematic aspects of distributed generation units (including RES) integration, as well as ENTSO-E approaches to voltage and reactive power control in the synchronous zone of continental Europe are considered. Technical requirements of Deutsch and Danish regulations, regarding participation of distributed generation facilities in voltage control are given. Approaches to establishing voltage control requirements for distributed generation units’ operation with national power system are presented.
Low-power nuclear power plants as the most important factor of social development, development of remote and remote areas of the country and ensuring its energy security
Authors: Savelev Vitaliy , Saraev Yuri , Bataeva Vera
Published: December 2019

The article is devoted to the analysis of specific requirements, problems and tasks requiring solutions for the practical application of low-power nuclear power plants, as well as their impact on the level of energy security of remote and remote regions and the country as a whole.
Development of method for normalizing electricity consumption
Authors: Hoshimov F. A. , Bakhadirov I. I. , Erejepov M. T. , Djumamuratov B. A.
Published: December 2019

The article deals with the calculation of specific indicators of electricity consumption for the production of auxiliary components the technological process. Based on the results of the authors, a method for calculating the normalization of energy in the absence of source materials is proposed. In addition, the method makes it possible to determine the norms of energy consumption given the deviation of the actual values from theoretical.
Development of optimal modes and mathematical models of energy performance of electric steelmaking production
Authors: Khakimov H.T. , Shayumova Z.M. , Kurbanbaeva Z.Kh. , Khusanov B.M.
Published: December 2019

The article deals with the issues of determining the optimal modes of electric steelmaking production on the basis of analysis of the graph of changes in the average power and voltage of the arc furnace in one meltdown cycle. In addition, empirical equations for determining the flow rate and specific energy consumption during the operation of process equipment under normal conditions were obtained for the main equipment of the electric arc-furnace shop using the mathematical method.
Performance of the SoLid reactor neutrino detector
Authors: Verstraeten Maja
Published: December 2019

The SoLid Collaboration is currently operating a 1.6 ton neutrino detector near the Belgian BR2 reactor. Its main goal is the observation of the oscillation of electron antineutrinos to previously undetected flavour states. The highly segmented SoLid detector employs a compound scintillation technology based on PVT scintillator in combination with LiF-ZnS(Ag) screens containing the 6Li isotope. The experiment has demonstrated a channel-to-channel response that can be controlled to the level of a few percent, an energy resolution of better than 14% at 1 MeV, and a determination of the interaction vertex with a precision of 5 cm. This contribution highlights the major outcomes of the R&D program, the quality control during component manufacture and integration, the current performance and stability of the full-scale system, as well as the in-situ calibration of the detector with various radioactive sources.
A finite element method for the generalized Ericksen model of nematic liquid crystals
Authors: Walker Shawn W.
Published: December 2019

We consider the generalized Ericksen model of liquid crystals, which is an energy with 8 independent “elastic”constants that depends on two order parameters n (director) ands(variable degree of orientation). In addition, we present a new finite element discretization for this energy, that can handle the degenerate elliptic part without regularization, with the following properties: it is stable and it Γ-converges to the continuous energy. Moreover, it does not require the mesh to be weakly acute (which was an important assumption in our previous work). Furthermore, we include other effects such as weak anchoring (normal and tangential), as well as fully coupled electro-statics with flexo-electric and order-electric effects. We also present several simulations (in 2-D and 3-D) illustrating the effects of the different elastic constants and electric field parameters.
Nationaler Kompetenzbasierter Lernzielkatalog Chirurgie – allgemeiner Teil mit fachbezogenen ärztlichen Handlungskompetenzen am Ende des Praktischen Jahres
Authors: Sterz Jasmina , Adili Farzin , Bender Michael , Dahmen Uta , Heinemann Markus K. , Hofmann Hans-Stefan , König Sarah , Obertacke Udo , Rüsseler Miriam , Stefanescu Christina , Voß Sebastian Herbert , Walcher Felix , Kadmon Martina ,   für die Chirurgische Arbeitsgemeinschaft Lehre (CAL) der Deutschen Gesellschaft für Chirurgie (DGCH)
Published: December 2019

Um den Erfordernissen der medizinischen Versorgung aktuell und in Zukunft Rechnung zu tragen, wird die medizinische Aus- und Weiterbildung zunehmend kompetenzbasiert ausgerichtet. Grundlage bilden handlungsorientiert formulierte Lernziele, die in kompetenzorientierten Lernzielkatalogen zusammengeführt werden. Der Nationale Kompetenzbasierte Lernzielkatalog Medizin (NKLM) kann als fächerübergreifende Basis für ein Kerncurriculum herangezogen werden. Bereits 2013 sind für die chirurgischen Fachdisziplinen mit dem speziellen Teil des Nationalen Kompetenzbasierten Lernzielkataloges Chirurgie (NKLC) Handlungskompetenzen definiert worden, die die Studierenden nach Abschluss des Praktischen Jahres in Bezug auf konkrete Krankheitsbilder erreicht haben sollen. Mit dem nun ergänzten allgemeinen Teil des NKLC wurden disziplinübergreifend Kompetenzen definiert und von allen chirurgischen Fachdisziplinen konsentiert, die für sämtliche chirurgische Fachdisziplinen gleichermaßen Gültigkeit haben und von Vertreterinnen und Vertretern aller Fachdisziplinen in die Lehre einbezogen werden sollten. Der nun vollständige NKLC liegt den Fakultäten, Lehrenden und Lernenden zur Erprobung vor (verfügbar unter: https://www.dgch.de/index.php?id=190&L=528). Leitgedanke für den gesamten Entwicklungsprozess waren das Erreichen der grundsätzlichen Weiterbildungsbefähigung und die Patientensicherheit beim Berufseinstieg.
Resource management optimization for a smart microgrid
Authors: Fescioglu-Unver Nilgun , Barlas Ayca , Yilmaz Damla , Demli Ugur Ozhan , Bulgan Ali Cagdas , Karaoglu Eren Can , Atasoy Tugrul , Ercin Ozden
Published: December 2019

Optimal planning of resources with daily/real time resource management is important for obtaining the most benefit from microgrids. There exist several mathematical models and heuristic rule based policies for microgrid resource management. Mathematical models provide optimal results, while heuristic policies are simple to implement but cannot guarantee optimality. Although both models are used in the literature, studies do not analyze the benefits of using mathematical models over heuristic rule based ones. This study proposes a mixed integer programming based mathematical model and a rule based model and compares their performances for a newly established microgrid at Turkey. Both models aim to minimize the daily cost of the microgrid by planning the use, sale, and storage of the energy obtained from the renewable resources. The results quantify the benefits of using the mathematical model over the rule based model for the case microgrid under different conditions. The analysis shows that the difference between the models' performances changes according to the energy pricing policy and seasons. Under certain conditions, the simple rule based policy can provide close to optimal results.
Prediction of Canal Erosion on Tidal Swamp Delta Telang I, Banyuasin Regency, South Sumatra
Authors: Syarifudin Achmad , Risa Destania Henggar , Hamdani Yunan
Published: December 2019

Surface water dynamics at swamp region either in tertiary compartment also at canals very influenced by several conditions, among others: total rainfall, hydro-topography, potential high water overflow, potential drainage, water order network condition, and water order building operation. For that entire components must be evaluated and at analysis to support plants amount of water required fulfillment efforts. The canals need observation data directly at field so that can accurate observation data. In the manner likes this need time, energy and cost big enough. Therefore, computer model use to guess and evaluate network performance is a correct solution. Related to troubleshoot above, so necessary existence to watchfulness besides to evaluate existing drainage system performance in water face control at also necessary channel stability analysis in the effort support operation and channel maintenance. Supposed to this watchfulness can describe according to intact process the happening of erosion and sedimentation at channel, environment service aspect and qualitatively model constructively SOBEK software can explain sedimentation dynamics in canals at tidal swamp region.
Assessment for Seismic Activities in Pesisir Selatan West Sumatra in 2018
Authors: Imani R , Boy W , Dewi U , Sari A , Purba W , Chairi M , Melasari J
Published: December 2019

The tendency of the recurring earthquake phenomenon in the same place in an area with a high seismic level has triggered an increase in earthquake activity in the region. Kabupaten Pesisir Selatan, which is located in West Sumatra Province, is a coastal area that is very close to the waters of the Sumatran sea as well as a source of destructive earthquakes that hit Sumatra. To anticipate the risk of future earthquakes and as an effort to increase public awareness and preparedness in the South Coast, in particular, it is necessary to provide understanding and knowledge of the seismic activities that have occurred there. The research method was carried out by collecting earthquake event data in the South Coast region for the period of January - December 2018 from the United States Geological Survey (USGS) data. The results of the analysis concluded, that in the Pesisir Selatan District there were frequent tectonic earthquakes, and also followed by landslides due to the contours of many hilly areas.
Electronic health cloud as service to improve collaboration in healthcare organizations
Authors: Gomaa Abdulaziz Shady , Mohd Yasin Norizan , AlGamal Zeinab , Hateem Asmaa , Ramakrishnan Kalaimagal
Published: December 2019

There are many factors contributing to lack of collaboration which relates to teamwork and partnership in healthcare organization such as low awareness level in technology use, computer literacy, absence of e-health cloud, poor health information systems, decentralized systems, language barriers, difficulty to manage and control large amounts of data, work independently and time factor. Among medical staffs it is important to be able to share information and knowledge in patient treatments by having a better implementation of the electronic health cloud as service can improve and enhance the collaboration This research was conducted using mixed method approach combining observations, questionnaires and interviews used to determine the level of collaboration among medical staff in e-health cloud environment.
Transparent Encryption Technique for Trusted Computing
Authors: Gushelmi  , Mohd Zin Abdullah
Published: December 2019

Trusted computing is a technology that has been developed to make a computer safer and more trustworthy. The main purpose of trusted computing is to ensure that only authorized user will be able to use and access information stored inside the computer. Although the current trusted computing technology is capable of providing the level of trustworthiness required, it is still subjected to physical attack. In order to solve this problem, the TPM-UAM model has been proposed. However, in order to provide better protection, it is important that data inside the computer to be encrypted whenever it is not used and decrypted whenever it needs to be used. A number of encryption techniques are available such as RSA, AES, DES/3DES, Twofish, Blowfish, IDEA, SEAL, RC4. However, time taken for encrypting and decrypting data by using these techniques is huge. This paper describes a research work that is currently undertaken in order to develop a new encryption mechanism that can provide very fast and transparent encryption and decryption services for trusted computers.
Smart irrigation system based on internet of things (IOT)
Authors: Ismail Nurulisma , Rajendran Sheegillshah , Chee Tak Wong , Ker Xin Tham , Shazatushima Shahril Anuar Nur , Aiman Zakaria Fadhil , Mohammed Salleh Al Quhaif Yahya , Hasan Karakhan Hussein Amer M. , Rahim Hasliza A.
Published: December 2019

Nowadays, the Internet of Things (IoT) technology is very much used in agriculture. Therefore, this paper is about a project that focuses in the field of agriculture with the objective of controlling the water consumption in agriculture field which is based on IoT where all information is viewed and controlled in fingertips. As a part of the system development, few sensors applied such as: (i) a soil moisture sensor (YL-69) to detect the water level in soil; (ii) the humidity and temperature sensor (DHT-11) to trace early signs of temperature changes; and (iii) the pressure sensor (BMP 280) to measure the pressure of the surrounding. These sensors are connected to a Wi-Fi module (Node MCU) and they are interdependent to give extra sensitivity to the irrigation system. The data collected will be uploaded to the cloud (ThingSpeak.com and Firebase) and displayed in the form of graphs that could be seen through the app and website. The app functions to display the reading from the sensors and to control the water pump for emergencies purposes. In conclusion, the project managed to fulfil all its objectives in the aspects of water consumption, minimal project cost, less labour, power consumption, and reliability.
A comparative analysis of detection mechanisms for emotion detection
Authors: Balakrishnan Vimala , Cynthia Martin Marian , Kaur Wandeep , Javed Amir
Published: December 2019

This paper compared the performance of emotion detection mechanisms using dataset crawled from Facebook diabetes support group pages. To be specific, string-based Multinomial Naïve Bayes algorithm, NRC Emotion Lexicon (Emolex) and Indico API were used to detect five emotions present in 2475 Facebook posts, namely, fear, joy, sad, anger and surprise. Both accuracy and F-score measures were used to assess the effectiveness of the algorithms in detecting the emotions. Findings indicate string-based Multinomial Naïve Bayes to outperform both Emolex (i.e. 82% vs. 78%) and Indico API (i.e. 82% vs. 50%). Further analysis also revealed emotions such as joy, fear and sadness to be of the highest frequencies for the diabetes community. Implications of the findings and emotions detected are further discussed in this paper.
Prediction of Malaysian stock market movement using sentiment analysis
Authors: Cheng Kuan Low , Akmar Ismail Maizatul , Zayet Tasnim M. A. , Mohamed Shuhidan Shuhaida
Published: December 2019

Financial and business news contain various information about different companies, stock markets and other financial information. This information could be useful for predicting the stock market movement. The aim of this study is to determine whether financial news could be used to predict the Malaysian stock market movement. The sentiment analysis and classification were done using Hybrid Naïve Bayes algorithm. The data for this study was collected from Genting Berhad for a period of 11 months. The method resulted in news classification accuracy of 68.75% and showed a correlation of 58.41% between historical stock price and the sentiment data.
Design of Bicycle’s Speed Measurement System Using Hall Effect Sensor
Authors: Aisuwarya Ratna , Azmi Riyan Muhammad , Eka Putri Rahmi
Published: December 2019

Bicycles are an easy-to-use and affordable transportation tool for all society. However, in cycling, there is no information about the speed and distance that has been taken. Whereas, these parameters are quite essential because knowing that we can adjust the speed of the bicycle if we are going to the office or school so that we can estimate the time of arrival to reach the destination. Commonly, the device used to measure the speed and distance of a bicycle is a device with a GPS feature as a system based on geographical location. However, this device measures speed by knowing the position of the user captured by the satellite, not resulting from the actual speed of a bicycle. In this research, the designed system can measure the actual speed of a bicycle using the rotational speed of a bicycle wheel. The system implemented by using the Hall Effect sensor that will detect the magnet. The microcontroller then processes the data and convert the rotation per second into linear velocity. Then, information on speed, distance, and average speed are displayed to the LCD screen. After testing and analyzing the bicycle speed and distance measuring system using the Hall Effect sensor, we can conclude that The speed and distance of a bicycle can be measured by the hall effect sensor with the number of rotations that the Hall Effect sensor can detect up to 542 revolutions/minute. The final results of speed and distance can be displayed on the LCD, with the percentage error 2-3%.
The kindness behavior management in kindness service application using tree structure
Authors: Roya Azmi Luxfy , Edi Nugroho Lukito , Erna Permatasari Adistya
Published: December 2019

Kindness service application is an application which helps the students in kindness behavior implementations. This application is designed as an intermediary between kindness service providers and those who need kindness service, so it constructs a two-way relationship between the students. In addition, this application can also motivate the students to compete to do good things, as those who often doing kindness will be given a rate by the admin. The process of kindness behavior that had occurred will be designed to form a kindness tree. The management of this process is designed by using tree structure method. The tree structure will set the formation of kindness behavior in the kindness service application. Therefore, kindness behavior that had occurred will form into a whole kindness tree eventhough it provides the features to add or remove the behaviors of kindness.
Technology Acceptance among Older Adults With Mild Cognitive Impairement
Authors: Rosa Damayanti Nita , Mohamad Ali Nazlena , Salwana Mat Surin Ely
Published: December 2019

An increase in the population of older adults raises major and serious problems faced by developing countries, especially in the problem of decreasing memory function. With the increase in population of older adults, there is also an increase in the occurrence of a decline in memory which leads to the stage of diagnosis, namely a decrease in mild cognitive function called Mild Cognitive Impairment. However, technology use is among the population of older adults who should be able to help improve memory most of them do not know. This paper reports educating older adults about technology and technology acceptance in helping the memory of older adults. In-depth interviews were conducted with older adults to gather information about demographics, experiences, and their opinions about using technology to help memory. Thus, this study provides education about the technology in the reception of older adults to help memory. Respondents consisted of men aged 60-65 years and women aged 60-63 years were interviewed using a semi-structured interview method. The results of the study of all Older adults accept technology to help with cognitive function problems in preventing and reducing the risk of dementia, such as using technology is very helpful and not lazy to train the brain.
Identification of Variables in Predicting Trends in Social Entrepreneurship
Authors: Zulkefly N A , Ghani N A , Alquliti W
Published: December 2019

Social entrepreneurship can be utilized with the emergence of big data analytics. Data analytics can assist entrepreneurs who do not have the expertise, data, and systems to perform the analysis necessary so that it can provide predictions in order to optimize their business. Although research has been done showing the prediction variables in commercial entrepreneurship, but the variables cannot be simply used to tackle the prediction in social entrepreneurship. Prediction in social entrepreneurship is different with commercial entrepreneurship. The variables used in predicting commercial entrepreneurship primary focused in measuring the economic returns meanwhile social entrepreneurship primary focus in social returns. Predicting social impact is a good form of action for social entrepreneurs which may help them in decision making and keep their business sustainable. This study synthesizes the variables which can be used in predicting social impact in social entrepreneurship. As an outcome of this research, the paper highlights the variables which can be used in predicting social impacts and the contributions are it can enrich the knowledge of researchers and social entrepreneurs in term of the prediction of social entrepreneurship impact.
Analysis of Priorities Queuing Model (N-P) System With Multiple Channel Multiple Phase and Simple Additive Weighting
Authors: Putra Rajagukguk Herman , Zarlis Muhammad , Sutarman
Published: December 2019

The queue is a situation where people/goods must wait to get a turn of service. This happens because the number of arrivals is greater than the number of services. Generally, there are 4 queuing methods, namely FIFO (First In First Out), FILO (First In Last Out), SIRO(Services in random order), and PS (Priority Services). In this research, the authors conducted priority queues based on weighting using the SAW algorithm. Queue modeling uses Multiple channel Multiple Phase, where there are 2 phases that will be passed on the queue system. In phase 1, an assessment will be made using the SAW algorithm to produce weights value for each queue. Then in phase 2, a call will be made based on the priority value. In the priority queue, the queue can get service faster or slower according to the queue category. Tests are carried out following (M/M/1:GD/∞/∞) dan (M/M/3:PS/∞/∞) modeling with 100 test data with random variables. In this queue model, the arrival distribution follows a Poisson distribution, and the service distribution follows an exponential distribution. After testing, the results of the queue were obtained: 15, 3% effective in the low category, 65% effective in the normal category, 100% effective in the medium category, 100% effective in the high category. From the results it can be concluded that the queue system is effective in the queue with Normal, Medium and High categories. Queues will not effective in low category.
Breast cancer classification using digital biopsy histopathology images through transfer learning
Authors: Murtaza Ghulam , Shuib Liyana , Wahid Abdul Wahab Ainuddin , Mujtaba Ghulam , Mujtaba Ghulam , Raza Ghulam , Aniza Azmi Nor
Published: December 2019

Breast cancer (BC) infection, which is peculiar to women, brings about the high rate of deaths among women in every part of the world. The early investigation of BC has minimized the severe effects of cancer as compared to the last stage diagnosis. Doctors for diagnostic tests usually suggest the medical imaging modalities like mammograms or biopsy histopathology (Hp) images. However, Hp image analysis gives doctors more confidence to diagnose BC as compared to mammograms. Many studies used Hp images to develop BC classification models to assist doctors in early BC diagnosis. However, these models lack better and reliable results in terms of reporting multiple performance evaluation metrics. Therefore, the goal of this study is to create a reliable, more accurate model that consumes minimum resources by using transfer learning based convolution neural network model. The proposed model uses the trained model after fine tuning, hence requires less number of images and can show better results on minimum resources. BreakHis dataset, which is available publicly has been employed in overall experiments in this research. BreakHis dataset is separated into training, testing, and validation for the experimentation. In addition, the dataset for training was augmented followed by stain normalization. By using the concept of transfer learning (TL), AleNext was retained after fine-tuning the last layer for binary classification like benign and malignant. Afterward, preprocessed images are fed into the TL based model for training. The model training was performed many times by changing the hyper-parameters randomly until the minimum validation loss was achieved. Now the trained model was used for feature extraction. The extracted features were further evaluated by using six ML classifiers (i.e. softmax, Decision tree, Naïve Bayes, Linear discriminant analysis, Support vector machine, k-nearest neighbor) through five performance measures such as precision, F-measure, accuracy, specificity, and sensitivity for experimental evaluation. The softmax has outperformed among all classifiers. Furthermore, to reduce the wrong prediction, a misclassification reducing (MR) algorithm was developed. After using the MR algorithm the proposed model produced better and reliable results. The observed accuracy, specificity, sensitivity, precision and F measure are 81.25%, 77.47%, 82.49%, 91.70%, and 86.80% respectively. These results show that the proposed TL based model along with misclassification reduction algorithm produced comparable results to the current baseline models. Hence, the expected model could serve as a second opinion for BC classification in any healthcare center.
Decision Support System for Mapping Types of Timber and Number of Products for Furniture Handling in the Main Work Service Using AHP Method for Increasing Production Profits
Authors: Firdaus  , Wahyuni Ritna , Saputra Ade , Yolanda Novia , Wahyuni Ritna , Usman  , Neldi Mondra
Published: December 2019

The purpose of this research is to help the system to increase profits obtained by using the Decision Support System (DSS) and Analytical Hierarchy Process (AHP) methods. Where each criterion and alternative is compared with each other so as to give priority output values. With this application it is expected to reduce errors in data management so as to obtain accurate information. Software design methods used are ongoing system flow, global design, new system flow, context diagram, data flow diagram (DFD), entity relationship diagram (ERD), detailed design, database design, and system implementation. This research is carried out by applying a framework or research method that starts from identification of problems, problem analysis, set goals, study literature, collecting data, system design, system testing, and system implementation. By conducting research with the research method will produce the right analysis on the Tunas Karya Utama Furniture Handicraft and applied to a decision making application program. Reports generated in the decision support system process will produce accurate reports later.
Smart IoT Flood Monitoring System
Authors: Binti Zahir Shahirah , Ehkan Phaklen , Sabapathy Thennarasan , Jusoh Muzammil , Nasrun Osman Mohd , Najib Yasin Mohd , Abdul Wahab Yasmin , Hambali N.A.M , Ali N. , Bakhit A.S. , Husin F. , Kamil M.K.Md. , Jamaludin R.
Published: December 2019

Flood is one of the natural disasters that cannot be avoided. It happens too fast and affected so many lives and properties. Before this, most of the existing system that has been developed are only focus on certain areas. Other than that, majority of the public cannot monitor and have no idea when the flood going to be happened since they do not have any information and data about the weather condition. By having Smart IoT Flood Monitoring System, this will solve all the drawbacks of the existing system. The proposed system is suitable for cities and village areas. Furthermore, if the public has an internet access, they can monitor what is happening and predict if there is any upcoming flood at the web server. The proposed system is a low cost in design and easy for maintenance. This project will update the water level at the web server and the system will issue an alert signal to the citizens for evacuation so that fast necessary actions can be taken.
An IoT Based Smart Parking System
Authors: Chandran Mehala , Fadila Mahrom Nur , Sabapathy Thennarasan , Jusoh Muzammil , Nasrun Osman Mohd , Najib Yasin Mohd , Hambali N.A.M. , Jamaluddin R. , Ali N. , Abdul Wahab Yasmin
Published: December 2019

In the past, there have been many works done on smart parking system approaching an even smarter system in where researches have been done and still being done to create a system which is not technologically savvy but also at ease. This paper proposes a design of smart parking system where it helps the users to reserve parking slots using Android application. This project is aimed to create a system that helps people with personal vehicles to find for parking easily at selected areas. Both software and hardware platform have been developed in this system.
Expert system to diagnose child development growth disorders with forward chaining method
Authors: Gusman A P , Hendri H
Published: December 2019

Growth and development in children determine quality throughout their lives. The lack of understanding of parents about the importance of child development makes parents often ignore a situation or disease that occurs in their children. For this reason, an expert system is needed using the forward chaining method in reasoning to the knowledge base, which can help parents to know the growth problems experienced by their children based on the symptoms found in children. In its development, the expert diagnostic system for child development disorders is implemented using PHP and MySQL programming as the database. After this expert system is implemented, the system can diagnose 5 disorders of child development (Autism, Asperger syndrome, attention deficit disorders and Hyperactivity, Down syndrome, and mental retardation) especially in children aged 6 - 12 years.
Fuzzy Logic Applications to Predict Total Production of PKO (Palm Kernel Oil)
Authors: Kartika Devia , Pratiwi Mutiana , Liana Gema Rima
Published: December 2019

The purpose of this study is to apply fuzzy logic to predict the amount of Palm Kernel Oil (PKO) production at PT. Web-based AAI. This study uses the Tsukamoto method to anticipate the instability of palm oil production based on the existing demand and supply. The results showed that with the implementation of the fuzzy logic, the Tsukamoto method can affect the rate of more stable production and reduce the production of which is not in accordance with the market demand. The conclusion of this study is to apply the result of the predicted number of production PKO (Palm Kernel Oil) at PT AAI, in order to know the budget supply and demand thereafter.
Analysis of Electronically Reconfigurable Beam Steering Antenna Array using Phase Shifter Technique
Authors: Jen Neei Soh , Jusoh Muzammil , Sabapathy Thennarasan , AlBawri Samir , Najib Yaasin Mohd , Abd Rahim Hasliza , Abd Latef Tariq , Albreem Mahmud A. M. , Nasrun Osman Mohamed
Published: December 2019

The effect of PIN diodes position on reconfigurable ring antenna performance is investigated and studied in this work. The proposed antenna consists of two ring radiator patches, facilitating 1.25% bandwidth cantered at 5.85 GHz. Simulation and measurement result is presented successfully to demonstrate the integration effect of PIN diodes with antenna to steer the antenna beam toward the desired direction. Besides being low profile, an average gains up to 8 dBi is achieved at all reconfiguration scenarios.
Backpropagation neural network prediction for cryptocurrency bitcoin prices
Authors: Sovia Rini , Yanto Musli , Budiman Arif , Mayola Liga , Saputra Dio
Published: December 2019

The value of bitcoin currency is very volatile, hard to guess for every hour, so many of the bitcoin traders suffer losses because they are wrong in managing their bitcoin assets. Changes in the price of bitcoin itself are influenced by many things such as the closing of the bitcoin market in a country, the occurrence of hacker attacks on the bitcoin blockchain and the emergence of new coins that use technology similar to bitcoin. But when a stable market situation changes the price of bitcoin is purely influenced by market forces. By implementing an artificial neural network using backpropagation method, it will be able to predict the price of bitcoin by giving a form of predictive results that are strengthened with a fairly good value of accuracy. This research begins by determining prediction variables with target values that can be determined based on previous bitcoin prices. This artificial neural network process is able to conduct training and testing of data based on network patterns that have been formed, then the results of training and testing of the network will be analysed again, so that at the last stage the best network patterns will be used in the prediction process.
Application of Forward Chaining Method for Cognitive and Humanistic as an Indonesia Language
Authors: Nuraini C , Suharso A , Sumiyadi
Published: December 2019

In a previous study conducted by (Cut Nuraini, “Combine Application Theory of Humanistic Learning with Cognitive Methods in Learning (Its Application in Learning Indonesian Language) as One Model of Teaching Arts)”. UNSIKA: 2016) have obtained quite good results in the application of Combine Application of Humanistic and Cognitive theories in Indonesian Language Learning at FASILKOM. Referring to the success of previous research, it is unfortunate if it is not continued and developed. Previous research development in this study was by designing book applications in digital form or applications from the application of Cognitive Theory and Humastik on Indonesian Language learning at FASILKOM using the Forward Chaining method in Expert Systems.
Online Measurement to Assess A Problem Solving Skills Based on Multimedia Instrument
Authors: Ardiyaningrum M , Retnowati T H , Jailani  , Trisniawati
Published: December 2019

Problem solving ability is a goal that must be achieved in the learning process of all subjects at the elementary school level. Thus, there is a need for identification of problem solving abilities from prospective primary school teachers. The effort to identify this capability was carried out using Google Form as a test tool that facilitated researchers to carry out problem solving ability tests which is multimedia based. This research is a development research, which uses the development of the 4-D approach. The development is carried out on instruments for assessing mathematical problem solving abilities. The test participants consisted of 230 students from the elementary school teacher education program and the Madrasah Ibtida’iyah (Islamic elementary school) Teacher Education Study Program in the Special Region of Yogyakarta. The results indicate that the condition of students’ abilities that are quite diverse, with abilities below 0 are still quite high. This indicates that students’ problem solving abilities, prospective elementary school/Madrasah Ibtida’iyah teachers, still need to be improved.
Developing a competency-based of language skills and literary abilities in the primary school
Authors: Suryanto E , Emzir  , Akhadiah S
Published: December 2019

The competency-based (CB) 1994 (Supplement 1999) curriculum is a milestone of an efforts to improve the Indonesian education quality. Regarding this matter, this study wanst to reveal the CB development of language skills and literary abilities in the primary school (PS) and the influencing factors. This ethnographic study was carried out in the fifth grade of PS in Surakarta from 2004 to 2015. The phenomenon of literacy learning (LL) in the classroom as a source of evidence was explored through cases, interviewees, archives. The evidence is collected through an observation, question-answer, content analysis. The evidence legality is checked through adding participation, careful observation, triangulation, checking key informant techniques. The data are analyzed using domain analysis, taxonomy, and theme. In conclusion, literary subject is a part of Indonesian language (IL) lessons. Its achievements are integrated through listening, speaking, reading, and writing as well as understanding and using linguistic elements using various forms of literary works (LW). The verball and writing students’ skills of IL can be fostered and developed nicely. However, LL has not optimally introduced students to the various values of LW through literary appreciations, expressions, and creations. These result are influenced by the teachers, students, learning techniques, learning materials, evaluation systems, facilities, environments, and socio-cultural factors.
Character Education through Indonesian Language Course on Higher Education
Authors: Rabiah S
Published: December 2019

The function of education is to develop capabilities as well as to form dignified national character and civilization in order to develop the nation’s intellectual life. The aims of education on various levels are to form the students’ character. In its implementation, character education is conducted by integrating character values in the learning process. Thus, in this study, the researcher investigated the form of the implementation of character education through the learning process of an Indonesian language course in university. This study was a case study at Universitas Muslim Indonesia (UMI). The model used in this study is the Research and Development Model by Borg and Gall as well as Brown’s stages of development. This study involved 200 university students from 13 faculties who were taught the Indonesian language. Indonesian language lecturers and the academic stakeholders of UMI also became the respondents in this study. The results found that Islamic university is a feature of character education at UMI. Furthermore, UMI students need character education through Indonesian language course. Fortunately, the lecturers had implemented character education in every element of the teaching but still not with the learning materials. Meanwhile, academic stakeholders understood that character education could be done through learning, university management, and students’ activities. This study concluded that character-based Indonesian learning materials were developed to complete character education at UMI and to meet the needs of students, lecturers, and academic stakeholders.
The Feasibility of Syntactic Teaching Materials Development through IFDAD Model
Authors: Muhammad Basri D , Tenri Ampa Andi
Published: December 2019

The article was concerned with the use of IFDAD model for developing the syntactic teaching materials. The research aimed to describe the feasibility level of materials development. The research instrument which had been used consisted of 16 questionnaire items. The five experts were expected to assess the prototype of syntactic materials developed through the given model. The data which had been organized were analysed by using a mean percentage. The research results revealed that the feasibility of teaching materials development through the given model reached the average percentage of 83.05%. Based on the indicators which had been used to measure the four variables, it was indicated that the appropriateness percentage of each variable was great, namely the appropriateness of contents (86.00%), the appropriateness of language (91.25%), the appropriateness of presentation (75.00%), and the appropriateness of graphic (80.00%). The implementation of the research was to expose the feasibility of materials development for teaching the English syntax.
The use of Samawa Tribe Sakeco Art as a Literature Learning Material in Junior High School
Authors: Sukiman  , Purwani W A , Pratiwi Y , Widiati N
Published: December 2019

This study was conducted to describe the use of Samawa tribe sakeco art as a learning material for literature in junior high school. This study used a qualitative approach with phenomenological theoretical bases. Data collection in this study was carried out by using participant observation techniques, in-depth interviews with VII grade Indonesian language teachers, and documentation. Data analysis began with data reduction, data presentation, to conclusions/verification. The conclusions of this study were: (1) Sumbawa tribal sakeco art is already familiar among students and teachers but has not been used as lesson material in schools so that it has not been known more deeply, (2) the utilization of the Samawa tribe of Sakeco art has been effective enough to be used as literary study material in accordance with the basic competencies in the 2013 curriculum which presents local wisdom to be taught to students, and; (3) constraints experienced by teachers in utilizing sakeco arts include: teachers not native to the Samawa tribe, there are still students who are not familiar with sakeco art, the language used in sakeco art tends to use the Sumbawa dialect, and books of sakeco collections do not yet exist.
Learning Satisfaction Analysis of Online Learning Readiness with Learning Culture and Character Strength as Antecedent Variables
Authors: Ramadhanu Agung , Bayu Putra Ramdani , Syahputra Hadi , Husna Arsyah Rahmatul , Permata Sari Desi
Published: December 2019

The industrial era 4.0 that occurred has had a general impact on all human work activities, including the world of higher education. This study aims to disclose and analyze learning satisfaction with online learning readiness with learning culture and character strength as antecedent variables. Data collection was carried out by using an online questionnaire for all students of Putra Indonesia University who attended elearning lectures in the 2018-2019 academic year, with a total of 320 students.

The findings of data analysis with structural equation modeling (SEM) using Smart PLS, indicate that learning culture, character strength and learning satisfaction can explain its effect on online learning readiness. Furthermore, this study also concluded that learning culture and character strength were able to explain the satisfaction of learning online learning. In addition, the findings of this study also indicate that learning satisfaction is not able to mediate the influence of learning culture and character strength on online learning readiness.
Impact of Learning Motivation, Cognitive and Self-Efficacy in Improving Learning Quality E-Learning in Industrial Era 4.0
Authors: Bayu Putra Ramdani , Elfiswandi  , Ridwan Muhammad , Rizki Mulyani Sitti , Syahrullah Ekajaya Dharma , Andhika Putra Rio
Published: December 2019

The development of the industrial era 4.0 now, has changed the paradigm of activity on all fronts of human life. This study was intended to analyze the impact of learning motivation, cognitive and self-efficacy in improving the quality of online learning in the Industrial Age 4.0. The population of this study was the University of Indonesia Putra YPTK Padang who was following learning model E-Learning with a total sample of 320 people. Where data collection is done through an online questionnaire. The results of data analysis with Smart PLS indicate that learning motivation, cognitive and efficacy are factors that can influence the quality of learning. Besides that, it was also obtained the fact that self-efficacy was able to mediate the effect of learning motivation on improving the quality of online learning, but for other cases the variables of self-efficacy had not been able to maximize the cognitive influence on the quality of E-Learning learning.