bluuebunny/crossref_metadata_2025 huggingface dataset:
Intertexte et métathéâtre dans les pièces d’inspiration tchékhovienne de Matéi Visniec / Intertext and metatheatre in Matéi Visniec’s plays inspired by A. P. Chekhov’s dramatic works
Authors: Popa Blanariu Nicoleta
Published: May 2020

Beyond their psychological realism and questionable symbolism, some of A. P. Chekhov’s plays also manifest a self-referential and metadramatic/ metadramaturgical component of implicit theatrical po(i)etics. This is an aspect rather ignored by Chekhov’s critics and linked to the crisis which, according to Peter Szondi, occurs in European drama around 1880. Matéi Visniec draws attention to it and exploits it in his own creation, in plays such as “La machine Tchékhov” [The Chekhov Machine], “Nina ou De la fragilité des mouettes empaillées” [Nina or About the Fragility of Stuffed Seagulls], in close connection with the postmodern preference for intertextual and self-referential writing.
“Restaurants in Pocket”: Digitalization and Food Ordering in Bangalore
Authors:   Assistant Professor, Department of MBA, Koshys Institute of Management Studies, Bangalore, India., KV* Mrs. Roopa , K.M Prof. Sanjeev Kumar ,   Professor, Department of MBA, Karnataka State Akkamahadevi Mahila University, Vijayapur, India.
Published: May 2020

E- Commerce and Digitalization has paved its way by pooling investments and increasing their market share in Online Food delivery services in India with a revenue of US$7,730m and an Annual growth rate of 12.8% in 2019. [1] Growth and flourishment in working women population, Dual income, Penetration of internet, Smart phones, Double income no kids (DINK) mobile wallets, customization, discounts and offers has made it easy and convenient to order food online through Swiggy, Zomato, Domino’s pizza, uber eats, food panda and others. Bangalore being the highest taker of food orders with 20% market share, Mumbai in its second position with 18% share, Pune at third place with 17% share, Delhi being fourth at 15% and Hyderabad at its fifth position with share of 12% Respectively and other cities accounting to 18% of market share in India 2019. The online food aggregators app has its presence over 200 cities in march 2019.The study emphasizes on understanding the factors influencing to order food online. Convenient and purposive sampling technique has been adopted. A sample of 318 online food ordering customers in Bangalore were surveyed to analyze the Impact of digitalization on ordering Food online using Factor Analysis to associate the influencing factors and Multiple regression was used to identify the most influential factor. It was found that ratings and reviews, ranking on search engine, carousal advertisements, live order tracking, delivery time, coupon code, discounts, notifications on mobile applications had more impact on the consumer’s choice to order food online than preferring for dine out at restaurants.
A Framework for Analysis of Bank Customer Records by Machine Learning
Authors:   Assistant Professor Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore ,Tamil Nadu, India., Poorani* G. , Vignesh S. ,   Student, Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore ,Tamil Nadu, India., Vijay A. S. ,   Student, Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore ,Tamil Nadu, India., Mareswaran A. Sachin ,   Student, Department of Computer Science and Engineering at Sri Krishna College of Technology, Coimbatore ,Tamil Nadu, India.
Published: May 2020

At present, business banks are confronting triple gigantic weight, including budgetary disintermediation, loan cost marketization and Internet fund. In the mean time, expanding monetary utilization request of clients further increases the challenge among business banks. Clients have gotten increasingly inspired by the nature of administration that associations can give them. To build their benefits for proceeding with tasks and improve the center seriousness, business banks must maintain a strategic distance from the loss of clients while getting new clients. This task talks about business bank client stir forecast dependent on different AI strategies, considering the unevenness qualities of client informational indexes. The outcomes show that this technique can successfully improve the forecast exactness of the chose model.
Skin Diseases Prediction using Deep Learning Framework
Authors:   Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India., S Padmavathi. , Mithaa.E Mathu ,   Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India., T Kiruthika. ,   Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India., M Ruba. ,   Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India.
Published: May 2020

Dermatological diseases are found to induce a serious impact on the health of millions of people as everyone is affected by almost all types of skin disorders every year. Since the human analysis of such diseases takes some time and effort, and current methods are only used to analyse singular types of skin diseases, there is a need for a more high-level computer-aided expertise in the analysis and diagnosis of multi-type skin diseases. This paper proposes an approach to use computer-aided techniques in deep learning neural networks such as Convolutional neural networks (CNN) and Residual Neural Networks (ResNet) to predict skin diseases real-time and thus provides more accuracy than other neural networks.
Prediction for University Admission using Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India, D.A Chithra Apoorva , Nath Malepati Chandu ,   Chithra Apoorva D.A, Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India, Rohith Peta ,   Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India, S Bindushree. ,   Chithra Apoorva D.A, Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India, S Swaroop. ,   Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India
Published: May 2020

In today's education world there are many number of students who want to pursue higher education after engineering or any graduate degree course. Higher education in the sense, some people want to do M.tech through GATE or through any educational institute entrance examination and some people want to do MBA through CAT or through any respective educational institute entrance examination and some people want to do Masters in abroad universities. we are focusing on only the students who want to pursue their higher education in abroad universities. Generally Higher education in abroad universities means we have many options like canada, USA ,UK Germany, Italy, Australia etc. But we are focusing on only the students who want to do their Masters in America. Students who want to do masters in America have to write GRE (Graduate Records Examination) and TOEFL/IELTS (Test of English as a Foreign Language/International English Language Testing System). Once they have attended the exams they have to prepare their SOP(statement of purpose) and LOR(letter of reccomendation) which are one of the crucial factors they have to consider. These LOR and SOP plays a vital role if the student was looking for any scholarship. Then the students have to choose the universities they want to study or apply, we cannot apply to all the universities that will lead to lot of application fees. Here comes the problem that the student dontt know to which university he might get admission. There are some online blogs which help in these matter but they are not that much accurate and dont consider all the factors and there are some consultancy offices which will take lot of our money and time and sometimes they will give some false information.so our goal is to develop a model which will tell the students their chance of admission into a respective university. This model should consider all the crucial factors which plays a vital role in student admission process and should have high accuracy. The model name is UAP. To access this model we will develop a simple user interface.
Regression Analysis for the Axial Strengths of Muti-Blended Steel Fiber Self Compacting Concrete from the Experimentation.
Authors:   Associate Professor, Department of Civil Engineering, Vasavi College of Engineeering, Hyderabad, Kumar* S. Vijaya , Kumar Dr. B. Dean ,   Professor, Department of Civil Engineering, JNTUH, Hyderabad, Swami Dr. B.L.P. ,   Professor, Department of Civil Engineering, Methodist College of Engineering and Technology, Hyderabad.
Published: May 2020

The present paper deals with triple blended Self-Compacting Concrete (SCC) where 53 grade of cement is blended with flyash and Condensed Silica Fume (CSF) at different percentages as replacements to the cement. The steel fiber of diameter 1mm; with an aspect ratios varying from 20,30 and 40 were mixed to get the higher mechanical properties such as compressive and tensile strengths at four different percentages. The required number of cube and the cylindrical specimens of triple blended steel fibrous SCC were prepared and evaluated for compressive and the tensile strengths. The magnitude of the test results have indicated that there is enhancement in the axial strength properties of this type of the concrete as the percentage of steel increases up to certain value to fulfil the needs of the SCC as per the America Concrete Institute (ACI) norm. The regression equation is derived for the experimental values for the compressive and the spilt tensile strength of steel fibere self-compacting concrete (SFSCC) and verified acceptance the equation. The results of present investigation would help in the preparation of optimum tri- blended steel fibrous SCC ,which are suitable for practical usages like floor slabs bridge decks, important highways, airport runways and thin shaped concrete structural elements.
Correlations Between Compressive, Flexural and Tensile Strengths of Foamed Concrete Strengthened with Oil Palm Biomass Wastes
Authors:   School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia., Suhaili* Siti Shahirah , Mydin* Md Azree Othuman ,   School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia., Awang Hanizam ,   School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia.
Published: May 2020

Owing its superior features, such as low in density, excellent thermal properties and great fire resistance performance, foamed concrete is gaining acceptance in the construction industry. Nevertheless, foamed concrete is weak in tension. Foamed concrete reinforced with fibers has amplified due to its boosted properties after cracking of the cementitious matrix. Hence, fibers from spikelets and stalks from oil palm biomass wastes were used to scrutinize the correlations between compressive, flexural and tensile strengths of foamed concrete in this study. The fibers content was maintained to 0.45% of volume fraction for all mixes and the mixes were modified to different densities which were 600kg/m3, 1200kg/m3 and 1800kg/m3. Then, the compressive, flexural and tensile strengths of the foamed concrete were measured at 7, 28, 60 and 180 day. The result showed a general trend that the engineering properties of foamed concrete increased as its density increased and the desirable result could be achieved with the inclusion of stalks and spikelets in the foamed concrete. Finally, the empirical equations were established and coefficient of determination (R2) was obtained at different ages through the regression analysis. The comparison between the correlations of the engineering properties, made in terms of R2 of the polynomial regression, showed that all of the relations were obtained high value which is in range 0.96-0.99.
Cloth Folding Machine
Authors:   EEE Department, National Engineering College, Kovilpatti, India., Vinitha* B. , Amritha S. ,   EEE Department, National Engineering College, Kovilpatti, India., Sinduja M. ,   EEE Department, National Engineering College, Kovilpatti, India., Sonia M. ,   EEE Department, National Engineering College, Kovilpatti, India., Abinaya P. ,   EEE Department, National Engineering College, Kovilpatti, India., Ravindran* Dr.M. ,   EEE Department, National Engineering College, Kovilpatti, India,
Published: May 2020

The cloth folding machine is an easy and useful process in this world of tortoise and rabbit race. The machine’s operation requires tiny human contribution, which is significantly useful for people who are not keen to arrange their clothes. The idea of this project is to fold up cloth by just pressing a switch. In this project, we used five separate plates with the center plate as fixed and the other four plates are movable. This plate follows a pattern that is programmed in the microcontroller. ATMEGA8 Microcontroller is used. Four servo motors are connected to the microcontroller. And these servo motors are connected to the four movable plates.100KΩ preset is used to change the angle for servo motor.100μF and 104 capacitors are used for charging. It will consist of two folding patterns for shirts and pants. Based on the purpose of design, a cloth folding machine is a household appliance.
Image Retrieval System using Residual Neural Network in a Distributed Environment
Authors:   Research Scholar-VTU, Asst. Professor, Information Science & Engg., RNS Institute of Technology, Bengaluru, India., Rajkumar* *Mr. R , Sudhamani Dr.M.V. ,   Professor & HoD, Department of Information Science & Engg., RNS Institute of Technology, Bengaluru, India.
Published: May 2020

Development of Content-Based Image Retrieval systems supports retrieval of similar images based on selected features. Selection of appropriate features for this process is a difficult task. In this regard, deep learning concept helps in choosing appropriate features for retrieval. In this work, Content-Based Image Retrieval system is proposed using Convolution Neural Network known as Residual Neural Network model. The dataset used to build retrieval system is collection of web images 50,000 of 250 categories. The model is trained on 40% of image data and tested on 60% of data. When user submits a query image from the client-side, similar features are extracted by the model on server-side. Later, the features of query image are compared with trained images data and similarity is measured using the metric of Euclidean distance. The retrieved resultant images are displayed on Graphical User Interface. The results are comparatively higher with the existing systems. The proposed work is also compared with Google’s Image retrieval system for random query images and our proposed work has shown a better performance by 14.27%.
Urban Expansion Classification using the Change Detection of High-Resolution Images, for Jeddah Province
Authors:   Civil Engineering Department, National Research Centre, Egypt(NRC), Abdel-Wahab* A. M. , Abdel-Gawad Ahmed K. ,   Professor, Department of Civil Engineering, National Research Centre, Egypt., AWAD ALAA AL DIN I. ,   Assistant Professor of Surveying, Public Works Department, Faculty of Engineering, Ain Shams University, Egypt.
Published: May 2020

The Kingdom of Saudi Arabia is heading to catch up with civilization, to be one of the major international country in the first world. One of the important things is to identify the urban changes taking place in the city growth. Also, high resolution satellite images of Jeddah are available from various sources such as GeoEye (2010) and WorldView-3 (2015). Jeddah has different satellite images from different sources with different accuracy and therefore the spectral, spatial resolution and coverage area are different. So, the aim of this research work is to assess, compare, and describe the some ways of dealing with image of the GeoEye (2010) and image of the WorldView-3 (2015). To reach the desired uses of these methodologies and to achieve a degree of accuracy appropriate to the required results, formulating this comparison within the boundaries of the Jeddah Governorate to define the scope of the study and dealing with different geographical factors that characterize the province of Jeddah. In this context, in the current research work, the sample representing the urban area was chosen from 2010 and 2015. The quality control process was done on the product using different methods to detect automatic changes of the Study areas, like (area - geometric shape - number of changes). For Geometric shape of the image in 2015, it is noted that the best result was the ratio ranges between 50-60% in the following methods (IHS to RGB - Image Segmentation - Unsupervised (ISODATA) - Supervised (min)). As for the rest of the results, it ranges between 30% - 40%. As for the number of Vertex of the geometric shape of the image 2015, it is noted that the lowest number of points that make up the buildings is from the Image Segmentation method and the largest number of points that make up the buildings is from the Unsupervised (K-means) method. In the area of the building in 2015, is noted that the best result, where the ratio ranges between 65%-70% in the following methods (IHS to RGB - Image Segmentation - Unsupervised (ISODATA) and Supervised (Maximum)). On the contrary, the lowest result was the ratio reaches 59% in Supervised (Minimum) method. For the number of buildings in 2015, is noted that all the results of the supervised classification and the unsupervised classification are close to what was achieved by digitizing.
Medical Robotics - Robots and Associated Computing Technology for Medical Applications
Authors:   Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education , Manipal, Sharma* Chethan
Published: May 2020

We take birth, we live and finally we all die. During the short time we live, we all want to be happy. Happiness comes when you are healthy, more the healthier you are- more the happiness. There are various types of robots depending on the area in which they are made use of. Medical robots are used to assist doctors, surgeons and other healthcare workers. The most advanced aspect of medical robotics is surgical robotics, in which a robot actually performs surgery. It might be surprising to know that in few top hospitals the top performing surgeon might not be a human being. Apart from surgeries, robots can be used to perform various other jobs within the healthcare industry. In this paper, we see how robots can reduce the strain of healthcare workers by reducing and automation their job.
Nonlinear Autoregressive Recurrent Neural Network Model for Quality of Service Prediction
Authors:   Computer Science Department, College of Arts and Science, Applied Science University, Kingdome of Bahrain., Al-Sbou* Yazeed Ahmad
Published: May 2020

Due to the advances in computer networks, Internet and multimedia communications, Quality of Service (QoS) monitoring and assessment become an increasingly important. The importance of assessing QoS stems from the fact it may reflect the resources availability of a network that may provide solutions for QoS provision, routing, monitoring, management … etc. In the literature, several monitoring and measurement approached and methods have been developed to quantify and predict the QoS of multimedia applications transmitted over such networks. In this research, a new QoS prediction system will be designed. The proposed system is based on using the Nonlinear Autoregressive with eXogenous input model (NARX) using recurrent neural network. This prediction system uses in addition to the QoS parameters; previous measured QoS values will used as inputs to this model. The expected output of this new model is the forecasted QoS. The proposed model will be trained, tested, validated and then optimized to provide a good estimate of the QoS provided by the given network. Simulation results are expected to show that the proposed model will have high accurate QoS prediction capabilities compared to other QoS assessment systems adopted in the literature.
PM2.5 Estimation using Supervised Learning Models
Authors:   Assistant Professor in the Department of Computer Science & Engineering., Anchan* Anusha , G.R. Manasa ,   Assistant Professor in the Department of Computer Science & Engineering.
Published: May 2020

Present era of Urbanization, mechanization, and globalization has attracted more and more Air pollution problems. However, PM 2.5 (Particulate Matter) majorly present at air, having diameter below 2.5 μm. With its high concentration leading to health issues such as lung cancer, cardiovascular disease, respiratory disease etc. With respect to this, presented work approach is building of supervised learning models, XGBoost(Extreme Gradient Boosting) along with MLR(Multiple Linear Regression),RF(Random Forest) and MLP (Multilayer Perceptron) to estimate PM2.5 congregation. The air quality data of city Changping in Beijing is taken into consideration for Analaysis. The accuracy of prediction of the four approaches is measured by using contrasting discovered value verses predicted value of PM2.5 with the help of three measuring matrices. The consequences reveals that the Random Forest algorithm outperforms other data mining strategies for the considered data. Prediction of PM2.5 concentrations will assist governing bodies in warning people who are at peak risk, and taking right measures to reduce its quantity in air also to reduce its impact on human life.
Resource Allocation for Energy Efficient User Association in User-Centric Ultra-Dense Networks Integrating NOMA and Beamforming,
Authors: Zhang Long , Zhang Guobin , Zhao Xiaofang , Li Yali , Huang Chuntian , Sun Enchang , Huang Wei
Published: May 2020

A coupling of wireless access via non-orthogonal multiple access and wireless backhaul via beamforming is a promising way for downlink user-centric ultra-dense networks (UDNs) to improve system performance. However, ultra-dense deployment of radio access points in macrocell and user-centric view of network design in UDNs raise important concerns about resource allocation and user association, among which notably is energy efficiency (EE) balance. To overcome this challenge, we develop a framework to investigate the resource allocation problem for energy efficient user association in such a scenario. The joint optimization framework aiming at the system EE maximization is formulated as a large-scale non-convex mixed-integer nonlinear programming problem, which is NP-hard to solve directly with lower complexity. Alternatively, taking advantages of sum-of-ratios decoupling and successive convex approximation methods, we transform the original problem into a series of convex optimization subproblems. Then we solve each subproblem through Lagrangian dual decomposition, and design an iterative algorithm in a distributed way that realizes the joint optimization of power allocation, sub-channel assignment, and user association simultaneously. Simulation results demonstrate the effectiveness and practicality of our proposed framework, which achieves the rapid convergence speed and ensures a beneficial improvement of system-wide EE.
Charting a Path Forward for Education Abroad Research
Authors: Dietrich Amelia J.
Published: May 2020

This article briefly reviews the most important and impactful research published in the journal Frontiers: The Interdisciplinary Journal of Study Abroad over the course of its first 25 years of publication and looks ahead to the research directions that can help the field move past the negative effects of COVID-19 and prepare for its next transformation. Goals are set for the future of education abroad as a field of both  scholarly inquiry and professional practice.

In Spanish

Este artículo repasa brevemente la investigación más importante e impactante que ha sido publicado en la revista Frontiers: The Interdisciplinary Journal of Study Abroad durante los primeros 25 años de su publicación y mira hacia el futuro para identificar las direcciones de investigación que podrán servir para la recuperación del campo de estudios en el extranjero después de COVID-19. El artículo identifica metas para el futuro de la educación en el extranjero como campo de investigación académica y como práctica profesional.
Differential Social Experiences of International Students in a Residential Hall in Japan
Authors: Hasegawa Atsushi , Shima Chiharu
Published: May 2020

The present study examined differential social experiences of international students living in a residential hall called ‘Nihongo House’ (Japanese language house) at a Japanese university. By conducting social network analysis (SNA), as well as making use of ethnographic data collected through participant observation and semi-structured interviews, we explain how constellations of interpersonal relations at the house transformed over the course of one semester and what factors were responsible for those changes. Additionally, we present three focal cases of international students. These students—with different motivational orientations, personal dispositions and abilities, and social standing—went through diverse social processes, which led to different levels of success in respective accounts. Based on the analysis, we discuss how social experiences of these students in this particular setting can be understood in relation to their language use and potential development and how this type of residential hall can effectively nurture interpersonal relationships. Abstract in Japanese 本研究では、日本の大学における外国人留学生と日本人学生の人間関係構築プロセスを記述し、言語使用・習得への示唆を考察する。特に、寮という制度的に区切られた空間に着目し、寮の中で、1) どのように人間関係が構築され、コミュニティが形成されたのか、2) どのような要因が人間関係構築やコミュニティ形成に影響を与えたかを明らかにすることを目的とする。対象は日本国内のある大学に近年設置されたテーマ別寮の一つである「日本語ハウス」に住む留学生と日本人14名である。データとして、学期開始前と終了後に行った社会ネットワーク調査、半構造化面接、参与観察、寮に関する文書等を一学期間収集した。これらのデータを言語社会化の観点から分析した結果、メンバーによる活動の企画や参加を通したコミュニティ形成の過程が観察された。一方で、個人による参加のプロセスの違いや、コミュニティ全体としての関係、細分化された個人間での関係といった多層性を持った複雑な人間関係の存在が明らかとなった。また、異なる参加のパターンを見せた３名の留学生のケースを紹介し、彼らの参加プロセスに与えた影響について、言語能力（日本語や英語）、各学生の所属する複数のコミュニティ（サークルや授業等）における日本語ハウスコミュニティの位置づけ、ハウス内外の環境という観点から例証し、生活・学びの環境づくりについて考察する。
Reviewing the Situation: Jewish and Black Identities—Inventing Strangers
Authors: Woolf Michael
Published: May 2020

Dominant national myths create versions of reality that we need to deconstruct if we are to take students beyond stereotype. Using the USA as an example, histories that do not align with critical national narratives become silenced or muted.  Preoccupation with Black and White dichotomies is just such a narrative that has hidden the significance of class; the idea of the USA as a haven for the stranger similarly blurs a long history of anti-Semitism. The essay demonstrates that collective identities are constructs not objective realities. They devolve from myths, acts of imagination, seductive narratives. A transition from myth to history, from archetypal dream to reality, reveals complexities that subvert simplistic stereotypes. Conventional assumptions about ethnicity and race need to be subject to deconstruction; if exported abroad they are likely to bring confusion rather than clarity.  In these circumstances, destabilizing student perceptions is an intellectual imperative.
The Awe in Awesome in Education Abroad
Authors: Thomas Kristin L. , Kerstetter Deborah
Published: May 2020

Few have examined how students perceive or make sense of their formal educational travel experiences, resulting in a dearth of knowledge about perceived educational value of experiences. To rectify this situation, this study addressed how students make meaning during their education abroad (EA) experience. Employing a constructivist grounded theory approach, students were found to process their experiences through four meaning-making structures labeled, “Seeking Novelty,” “Actually Being,” “Securing/Blending,” and “Living in a State of Awe,” all of which contributed to experiencing awe during their EA experience. The authors propose the Education Abroad Meaning-Making Framework, which can be used to understand students’ experiences while on EA and to serve as a theoretical foundation upon which further research on EA can be conducted. They also discuss implications of the Framework for pre- and post-experience advising, program, and curriculum development. Abstract in French Peu d’études ont examinées comment les étudiants perçoivent et donnent du sens aux  expériences formelles durant leurs voyages éducatifs, résultant en un manque de connaissance quant à la valeur perçue de ces expériences. Afin de rectifier cette situation, cette étude décrit comment les étudiants donnent du sens à leurs expériences durant leurs voyages éducatifs (VE). Utilisant une approche théorique constructiviste, il est apparu que les étudiants traitent leurs expériences à travers quatre structures donneuses de sens appelées « Chercher la nouveauté », « Être vraiment », « Confort/Immersion », et « Vivre émerveillé », qui ont toutes contribuées à leur émerveillement durant leurs VE. Les auteurs proposent le Cadre de Voyage Éducatif Donneur de Sens, qui peut être utilisé pour comprendre les expériences des étudiants pendant leur VE et servant de fondement théorique sur lequel baser de futures recherches sur les VE. Ils discutent aussi des implications de ce Cadre pour le développement de l’encadrement, du programme et du curriculum avant et après les VE.
GENERATOR FUEL COST OPTIMIZATION USING ANT COLONY ALGORITHM
Authors: Suryawati Indri , Rochman Sagita
Published: May 2020

Ant Colony Algorithm (ACA) is an optimization algorithm was inspired by ant behavior when searching for the shortest distance from the food center. In this study, ACA is used for power plants with a fuel cost fitness function. ACA can search destinations faster than conventional methods such as Lagrange. In this study ACA used the optimal power flow of six power plants in the Java Bali 500 KV system, the optimization results reduced fuel costs by 23% and Lagrange 17.4% compared to real conditions.
CONTROL SYSTEM FOR TEMPERATURE, HUMIDITY AND TIME PARAMETERS ON ZELIO SMART RELAY-BASED WATERING PROCEDURES
Authors: Arif Irfan , Sujiwa Akbar
Published: May 2020

Watering plants usually done manually using human power. that has risk negligence and inaccuracy. also, in time and cost is not efficient. Another factor that can affect the quality of crops is a factor of humidity and temperature. For those reason, writers made a tool that can work according to the level of humidity and temperature automatically and continuously. This tool uses Zelio Smart Relay as automatic controller. The 808H5V5 humidity sensor and LM35 temperature sensor is used as input. The LM35 temperature sensor detect the ambient temperature, where as 808H5V5 humidity sensor detect ambient air humidity, and time of watering adapted to the Smart Relay timer. The entire sensor input is programmed using ZELIO SOFT 2. Setting the temperature and humidity when the detected 30oC and >70% as well as the timeshows at 08.30 – 09.00 am and 16.00 – 16.30 pm the pump will automatically ON.
DESIGN AND DEVELOPMENT OF INTERLEAVED BOOST CONVERTER AS A POWER QUALITY IMPROVEMENT IN ONE PHASE ROTARY WITH INDUCTIVE AND RESISTIVE LOADS
Authors: Bastari Winarno Fadjar , Mesah John Geral
Published: May 2020

The unidirectional voltage source is obtained through an uncontrolled 220 Volt single phase full wave rectifier circuit. Installation of large amount capacitors as a filter affect input waveform. Due to the harmonics distort sinusoidal input voltage from the PLN grid. The difference in voltage waveforms and input currents that occur can affect the value of the resulting factor. Based on this problem, a study was made on theimprovement of power factors using a series of Interleaved Boost Converter which functioned as a series of Power Factor Correction (PFC) and voltage regulators with a setting method using Fuzzy logic. This Interleaved Boost Converter circuit is made to work in the condition of the Discontinues Conduction Mode (DCM) so that any load that is supplied to the circuit will make the system resistive. So, it is expected that thevoltage and input current waveforms will produce a factor value close to the unity value. The results of this study are the Interleaved Boost Converter series that can be used as a Power Factor Correction circuit and also as a voltage regulator. It improves power factor from 0.9 to 0.93.
Pelatihan Pembukuan Sederhana Untuk Meningkatkan Kinerja Keuangan Pelaku Usaha Di Desa Kebontunggul Kecamatan Gondang Kabupaten Mojokerto
Authors: Rina Fariana  , Fauziyah  , Teguh Purwanto  , Bayu Adi
Published: May 2020

Salah satu penggerak utama laju perekonomian desa adalah adanya Badan Usaha Milik Desa (BUMDes) yang dikelola sepenuhnya oleh mayarakat desa. Desa Kebotunggul memiliki beberapa potensi yang dapat dikembangkan dan dikellola sehingga bermanfaat bagi penduduk masyarakat desa. Adapun potensi Desa Kebontunggul meliputi peternakan unggas, perikanan lele, industri mebel, industri rumah tagga (keripik tortila, jamur dan jamu) dan wisata edukasi. Banyaknya potensi yang terdapat di Desa Kebontunggul terutama sebagai desa wisata sebaiknya diiringi dengan pengelolaan yang baik sehingga bisa memberikan nilai manfaat yang lebih khususnya bagi perekonomian masyarakat sekitar. Pengelolaan dan pembinaan tersebut dapat melalui Badan Usaha Milik Desa (BUMDes). Permasalahan utama yang dihadapi oleh mitra adalah mengenai manajemen pengelolaan keuangan pelaku usaha dan BUMDes. Sumber daya manusia pengelola BUMDes Desa Kebontunggul sebagai penggerak perekonomian desa sangat kurang memadai, hal ini dibuktikan dengan kurangnya kegiatan administrasi yang dilakukan oleh BUMDes Desa Kebontunggul seperti pembuatan dokumen, pengarsipan, pembukuan keuangan dan penggunaan alat elektronik seperti komputer termasuk dalam melakukan pendampingan terhadap pelaku usaha di desa. Hal ini menyebabkan pelaporan BUMDes tidak bisa menghasilan laporan secara benar yang diikuti oleh pelaku usaha yang ada di desa. Berdasarkan permasalahan tersebut, maka perlu adanya pelatihan pembukuan sederhana sebagai upaya peningkatan kinerja keuangan BUMDes pelaku usaha. Hasil dari kegiatan pengabdian ini yaitu mitra telah mampu melakukan pembukuan sederhana, menentukan HPP yang sesuai dan sampai penyusunan laporan keuangan dengan baik dan rutin sehingga mitra bisa menjadi desa percontohan
Pemanfaatan Multimedia Sebagai Media Promosi Destinasi Wisata Dan Produk Oleh-Oleh Desa Wisata Di Desa Kebontunggul Kecamatan Gondang Kabupaten Mojokerto
Authors: Widhayani Puri Setioningtyas  , I Made Bagus Dwiarta  , R. Bambang Dwi Waryanto  , Bisma Arianto
Published: May 2020

Potensi besar yang dimiliki Desa Kebontunggul Kecamatan Gondang Kabupaten Mojokerto meliputi peternakan unggas, perikanan lele, industri mebel, industri rumah tangga (keripik tortila, jamur dan jamu) dan wisata edukasi. Namun, permasalahan utama yang dihadapi oleh mitra adalah mengenai sumber daya pengelolaan BUMDes yang sangat kurang memadai, hal ini dibuktikan dengan minimnya sumber daya manusia yang bisa memanfaat teknologi informasi atau multimedia untuk membantu kegiatan promosi potensi desa. Melihat permasalahan utama yang dialami oleh BUMDes  Kebontunggul, maka solusi yang ditawarkan antara lain dengan memberikan pelatihan Informasi Teknologi (IT) bagi pengelola BUMDes sehingga dapat membantu untuk meningkatkan promosi potensi Desa Kebontunggul khususnya potensi desa Wisata Edukasi Terpadu ”Lembah Mbencirang”. Dalam rangka Tri Dharma Perguruan Tinggi, tim dosen Universitas PGRI Adi Buana Surabaya tergerak untuk melakukan pengabdian kepada masyarakat. Tujuan dari program ini adalah agar Desa Kebontunggul dapat mengoptimalkan pembangunan perekonomian melalui Badan Usaha Milik Desa (BUMDes) guna meningkatkan promosi potensi di daerah tersebut. Selanjutnya dengan dibantu oleh mahasiswa, tim dosen menjelaskan bagaimana cara memaksimalkan fungsi dan peran BUMDes antara lain dengan cara menggunakan teknologi informasi bagi pengelola BUMDes sehingga dapat membantu untuk meningkatkan promosi potensi Desa Kebontunggul khususnya potensi desa Wisata Edukasi Terpadu ”Lembah Mbencirang”
Aplikasi Sari Daun Kelor Sebagai Zat Pengatur Tumbuh Organik Terhadap Pertumbuhan Dan Kadar Klorofil Tanaman Kedelai (Glycine max (L.) Merr.)
Authors: Amriyanti Fauziah Laily , Ajiningrum Purity Sabila
Published: May 2020

Soybean as a protein sources can fill the needs of public’s food increasily but the production in this country is still low. Therefore, cultivation efforts are needed to improve the growth and development of soybean plants. Some factors that are sufficient to influence the plant growth process are nutrient supply, water availability, sunlight, air temperature, oxygen and growth regulators. Plant Growth Regulator (PGR) that can be used is moringa leaves as a source of cytokinins. Cytokinin serves stimulating cell division, postpone the process of aging plants, and spur growth budding. This study aims to determine the effect of giving plant growth organic made by moringa leaves with 2 control, which are negative control (0%) and positive control (cytokinin synthetic solution) and 3 treatment at concentration of P1 (10%), P2 (20%), P3 (30%) to increase the growth soy plants and to know the concentration optimally of any treatment given. This research using the completely randomized design (CRD) with 5 treatment and 5 replicate. The results were analyzed using the ANOVA test followed by the LSD/BNT test and the Duncan test. The results showed that the application of organic PGR made from Moringa leaves had a significant effect (P <0.05) on growth (plant height and number of leaves) and chlorophyll content in soybean plants had optimal concentrations at 30% concentration.

 

 

Keywords: moringa leaves, cytokinin, soybean plants, plant growth regulator.
Substitusi Butiran Kering Destilat Pada Formulasi Pakan Puyuh Terhadap Kandungan Kimia Feses
Authors: Wardah A. , Panjaitan Tiurma Wiliana Susanti
Published: May 2020

The aim of this research is to evaluate the effect of distiller dried grain (DDG) of rice husk in quail feed which effectively reduces important chemical elements in feces. The results showed that administration of DDG influenced the absorption of nutrients carbon, nitrogen, phosphorus and calsium in the quail intestine. Substitution of 10% DDG proportion in quail formulation not significantly (P>0.05) effect on carbon content in feces. Carbon content  infeces of quail at proportion of 20% DDG were significantly (P<0.01) higher than 10%. Nitrogen content in feces of quail at proportion of 20% DDG significant (P<0.05) higher than  both 10 and 0%.Futhermore nitrogen content in quail feces at 10% DDG significant (P<0.05) higher than 0%. Phosphorus content in feces quails at proportion of 10 and 20% DDG significantly (P<0.05) lower than 0%. Calcium content in quail feces at 10% and 0% not significant (P>0.05) but both were significantly (P<0.05) lower than 20%. The results of this study can be concluded that the substitution of 10% DDG of rice husk in quail feed formulations can increase absorption of phosphorus but decreases the absorption of carbon, nitrogen and calcium

 

Keyword: chemical elements, distillater dried grain, feces, quail
SABUN EKSTRAK MANGKOKAN (Nothopanax ScutellaiumMerr) SEBAGAI ANTIBAKTERI TERHADAP Staphylococcus aureus
Authors: Hanum Galuh Ratmana , Ardiansyah Syahrul
Published: May 2020

The soap of mangkokan (Nothopanax Scuteliaium Merr) leaf extract is a soap made from extracts of leaves mangkokan (Nothopanax Scuteliaium Merr) with different concentration of mangkokan leaf extract, among others, 70%, 80% and 90%. The Purpose of this research to determine the effect of concentration of mangkokan soap on the physical properties and microbiology. Physical properties include pH and water content while Microbiology includes the inhibitation of the bacterium Staphylococcus aureus. Analysis in this reasearch using one way anova factorial design 1 x 3. The results obtained in this reasearch is the difference in concentration of mangkokan (Nothopanax Scuteliaium Merr) leaf extract significantly affect the pH value of the soap and the difference in concentration of mangkokan (Nothopanax Scuteliaium Merr) leaf extract there is no significant influence on the water content and the inhibition of bacterial.

 

Keywords : Soap, Leaves Mangkokan, Staphylococcus aureus.
OPTIMALISASI LAMA PEMAPARAN LASERPUNKTUR PADA TITIK REPRODUKSI TERHADAP PENINGKATAN NILAI HEPATO SOMATIC INDEX (HSI) DAN GONADO SOMATIC INDEX (GSI) IKAN GABUS (Channa striata)
Authors: Wisnu Kusuma Pungky Slamet
Published: May 2020

Snakefish fishing continuously can reduce the number of mature stem gonad great sizenya increasingly few in number in nature will certainly affect the reduction in seed production in the waters and may even become extinct. Efforts should be made restoking with laserpuncture technology. Laserpuncture technology has been shown to accelerate the maturation of the gonads in tilapia, catfish, shrimp, crab, but has never been tried on the snakefish brood (Channa striata). The purpose of this study to obtain optimum exposure time laserpuncture at the acupoint of reproduction to increase the value of HSI and GSI snakefish (Channa striata) male parent in order to get ready for spawning. Research experiments using CRD with 5 treatments and repeated 3 times. To get the value of HSI and GSI by weighing the weight, liver weight and gonadnya. The sample used in this study snakefish brood 1 year old male with a weight range from 1100-1400 grams have never spawn. HSI and GSI value analysis using ANOVA Gen Stat program version 15. The results showed exposure at the acupoint of reproduction laserpuncture significant effect (P <0.05) increase in the value of HSI and GSI. Laserpuncture exposure time at the acupoint of reproduction for 4 seconds proved to be optimal to increase the value of HSI and GSI parent catfish than in controls.

 

Keywords: Laserpuncture, the value of HSI and GSI snakefish
EFEKTIVITAS EKSTRAK DAUN MENGKUDU (Morinda citrifolia L.) DAN DAUN SIRIH MERAH (Piper crocatum Ruiz & Pav) TERHADAP ZONA HAMBAT PERTUMBUHAN Staphylococcus aureus
Authors: Afiff F.E , Amilah Susie
Published: May 2020

Has conducted research on the effectiveness of various concentrations of noni leaf extract (Morinda citrifolia L.) And red betel leaf (Piper crocatum Ruiz & Pav) the growth inhibition zone of staphylococcus aureus. Inhibition test using paper disc diffusion method. Paper discs soaked in noni leaf extract and red betel leaf for 30 minutes and placed on media that has been spread bacteria staphylococcus aureus and then incubated for 24 hours. The results showed that noni leaf extract and red betel leaves with a concentration of 40%, 60% and 80% affecting large growth inhibition zone of Staphylococcus aureus.
Pemberian Ekstrak Biji Alpukat (Persea americana Mill.) dan Biji Sirsak (Annona muricata L.) terhadap Mortalitas Larva Nyamuk Culex Sp
Authors: Nombe S. , Binawati Diah Karunia
Published: May 2020

Vegetable insecticide is a natural material that is environmentally friendly. This material can be used in the prevention and control of mosquito larvae, especially Culex sp. Culex sp is the main vector of filariasis disease and dengue hemorrhagic fever (DHF). Use of natural materials is very good and environment friendly as insectcide compared with chemicals. Avocado seed extract (Persea americana Mill) is known to have secondary metabolite content of alkaloids, saponins, triterpenoids while soursop extract (Annona muricata L) in the form of acetogenin, squamocin and annonacin. This research needs to use of avocado seed extract (P. americana Mill) and soursop seed extract (A. muricata L) as larvacide of Culex sp. The aim of this research is to know the effect of avocado seed extract (P. americana Mill) and soursop seed extract (A. muricata L) to mortality of Culex sp Instar III mosquito larvae and LC50 for 24 hours. This study was an experimental study using a complete randomized design (RAL) with five treatment concentrations (0, 2, 4, 6, and 8%) avocado seed extract (P. americana Mill) and soursop extracts extract (A. muricata L) as much as five repetitions. The data obtained were analyzed by using One Way ANOVA to show the effect on the treatment. The results showed that giving of avocado seed extract (P. americana Mill) with 8% concentration (23,8 Â± 0,45 larvae) was optimal in killing Culex sp mosquito larvae. While giving soursop seed extract (A. muricata L) with 4% concentration (25 Â± 0,0 larva) optimal in killing Culex sp mosquito larvae. Avocado seed extract (P. americana Mill) has an effect as a larvacide against Culex sp. instar III with LC50 at concentration 2,486% while soursop extract (A. muricata L) with LC50 value at concentration 1,605%.

 

Keywords: Larvacide, soursop seed extract, avocado seed extract, Culex sp
KONSENTRASI HAMBAT MINIMUM EKSTRAK ETHANOL DAUN BELUNTAS (Pluchea indicha) DAN DAUN KEMANGI (Ocimum sanctum L) SERTA CAMPURAN DAUN BELUNTAS DAN DAUN KEMANGI TERHADAP PERTUMBUHAN BAKTERI (Escherichia coli, Staphylococcus aureus) PADA PENDERITA PROSTATITIS
Authors: Hidayati Isnainy , Sukarjati Sukarjati
Published: May 2020

Prostatitis is a disease caused by bacteria, especially (E. coli, S. aureus). Treatment of diseases using antibiotics cause negative effects on the environment, pathogenic bacterial resistance, and antibiotic residues. Therefore, it is necessary to develop an antibacterial alternative from natural ingredients for the treatment of this disease. One of the natural ingredients that are antibacterial is basil leaf extract and beluntas leaves that have antibacterial inhibitory power. This research aims to prove the antibacterial activity of basil leaf extract and beluntas leaves in vitro. The treatments used were P0 (control), P1 (1.56%), P2 (3.125%), P3 (6.25%), P4 (12.5%), P5 (25%), P6 (50% ), P7 (100% ).. The parameters observed were bacterial growth on culture medium. The result of MIC (the lowest concentration of dilution that can inhibit bacterial growth) is seen from the treatment media turbidity and MBC result (the lowest concentration of dilution that can kill bacteria) seen from bacterial colony growth on NAP media. Data were analyzed descriptively. The results showed that basil leaf extract and beluntas leaves can inhibit growth or killing (E. coli, S. aureus) in prostatitis patients.

 

Keywords: Prostatitis, antibacterial activity, microbial inhibition
KEANEKARAGAMAN DAN KEMELIMPAHAN KUPU-KUPU DI KAWASAN WISATA AIR TERJUN IRENGGOLO KEDIRI
Authors: Sulistiyowati Tutut Indah , Rahmawati Ida
Published: May 2020

Telah dilakukan penelitian mengenai keragaman kupu-kupu di kawasan Wisata Air Terjun Irenggolo Kediri pada bulan Februari hingga Juli 2018. Penelitian ini bertujuan untuk mendapatkan database tentang keragaman dan kelimpahan kupu-kupu di kawasan Wisata ini.

Metode yang digunakan untuk mengkoleksi kupu-kupu adalah dengan metode VES. Kupu ditangkap menggunakan jaring serangga dan dikoleksi menggunakan kertas papylote. Semua spesies diidentifikasi di laboratorium zoology dan dikonsultasikan pada ahli. Data keragaman kupu dianalisis menggunakan indeks Shanon Winner. Hasil penelitian ini menunjukkan sebanyak 35 spesies kupu dengan total jumlah 1.622 individu. Berdasarkan analisis kuantitatif, disimpulkan bahwa meskipun kekayaan individu tinggi, namun derajad kemelimpahan masing-masing spesies rendah. Adapun spesies yang derajad kelimpahannya cukup adalah Hasora taminatus (14,5) dan Chilades pandava (16,5). Untuk menjaga kelestarian jenis kupu dan menjaga kemelimpahannya, perlu dilakukan edukasi kepada pengunjung agar tetap menjaga keberadaan tumbuhan liar di kawasan wisata Air Terjun Irenggolo Kediri.

Kata kunci: Keanekaragaman kupu, media belajar