bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Student Performance using Machine Learning
Authors:   Department of CSE, KLEF, Green Fields, Vaddeswaram,Guntur dt, Ap, India., M Anusha , Karthik K ,   Department of CSE, KLEF, Green Fields, Vaddeswaram,Guntur dt, Ap, India., Rani P Padmini ,   Department of CSE, KLEF, Green Fields, Vaddeswaram, Guntur dt, Ap, India., Srikanth V ,   Department of CSE, KLEF, Green Fields, Vaddeswaram, Guntur dt, Ap, India.
Published: August 2019

Educational foundations are delivering capable and shrewd understudies and specialists, yet when we think about quality and value of the student’s advancement in his profession; it is as yet a challenge or an inquiry. These organizations center on quality in training. Consistently countless alumni from schools and colleges, as for the information gathered from the criticism of students, order an information mining strategy is connected to it. It is a stage to examine the elements influencing the performance of students so as to assess the present understudy execution and make proficient strides in the expectation of the no doubt happening connections between the different parts of learning and to upgrade the nature of instruction in future and help the educational organizers to design in like manner.
Mining Iot Data for Next Generation Smart Cities
Authors:   Assistant Professor, NIFT, Hyderabad, India., Garg Abhinav , Jailia Dr. Manisha ,   Associate Professor, Banasthali Vidyapith, Rajasthan , India.
Published: August 2019

Convergence of Cloud, IoT, Networking devices and Data science has ignited a new era of smart cities concept all around us. The backbone of any smart city is the underlying infrastructure involving thousands of IoT devices connected together to work in real time. Data Analytics can play a crucial role in gaining valuable insights into the volumes of data generated by these devices. The objective of this paper is to apply some most commonly used classification algorithms to a real time dataset and compare their performance on IoT data. The performance summary of the algorithms under test is also tabulated.
Behaviour of Cold Formed Light Gauge Steel Angle Columns Subjected To Eccentric Loading
Authors:   Assistant professor, Department of Civil Engineering, V R Siddhartha Engineering College Vijayawada (AP) India., Chakravarti Busanaboyina Jagadish , Krishna Bhamidipati Sai ,   Structural Engineer, Vijayawada (AP) India.
Published: August 2019

Cold formed steel is an exceptional engineering material for residential and commercial applications because of its inherent structural efficiency obtained by hot and cold bending and its wide range of prefabricated geometries. A lot of research has been done to study the structural behaviour of light gauge axially loaded steel angle columns. The study of cold formed light gauge steel angle columns subjected to eccentric load is to be required to know its performance in the place of hot rolled steel columns. The load is varying from shear centre to centre of gravity of angle section. The study of such columns can be done experimentally with varying thickness and b/t ratios by taking fixed-hinged end condition and the same can be validated in the finite element model by using ABAQUS / CAE 6.14 finite element software to find the buckling behaviour of different columns.
Scylla Serrata Shells Calcination using Electric Furnace and Microwave Kiln
Authors:   Department of Mechanical Engineering, Curtin University, Miri, Malaysia., Mei Hii Vivien Yiik , M Nor Fethma ,   Department of Mechanical Engineering, Curtin University, Miri, Malaysia., Kurniawan Denni ,   Mechanical Engineering Programme Area, Universiti Teknologi Brunei, Gadong BE1410, Brunei Darussalam.
Published: August 2019

To accommodate the rising demands for artificial bone substitutes, the possibilities of extracting calcium oxide (CaO) as precursor of hydroxyapatite (HAP) from Scylla serrata (crab) shells via electric furnace and microwave kiln heating (calcination) were investigated. The crab shells were obtained from food wastes from local restaurants in Miri, Malaysia. They were treated by calcination with temperatures of 600°C, 800°C, and 1000°C for 3 and 4 hours in electric furnace. The shells were also calcined in microwave kiln at power levels of 60%, 80% and 100% for 1 hour. Characterization on the calcined shell samples were done using Fourier Transform Infrared Spectroscopy (FTIR) and X-ray Diffractometer (XRD). Based on the FTIR and XRD spectra, it was found that calcium oxide was obtained through calcination at temperatures ≥ 800°C. The results also indicated that a higher calcination temperature and duration would yield Ca O with larger crystallite size. Through calcination in microwave kiln, Ca O was readily produced when calcination was done at 60% power.
ehicle Theft Detection and Toll Collection System
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateshwara College of Engineering, Tamil Nadu, India., B Kursheed , P Ramya ,   Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateshwara College of Engineering, Tamil Nadu, India., V Prema ,   Assistant Professor, Department of Electrical and Electronics Engineering, Sri Venkateshwara College of Engineering, Tamil Nadu, India.
Published: August 2019

Security is not the absence of danger but the presence of Technology. Vehicle robbery is trending upwards so, This proposed work aimed to design and develop a anti-theft system that involves Global Positioning System (GPS) and Global System for Mobile Communication (GSM) technology in order to provide vehicle security. At the implementation of this system, when the vehicle is found to be robbed, the client receives a alert message along with the current location of the vehicle. So as the client can interact with the system by sending a stop message in order to stop the vehicle. Our next objective is to provide automated toll collection system which intern aid to achieve efficacious time utilization and simultaneous prevents traffic caused due to long queue at toll plaza using Radio Frequency Identification (RFID) technology. There by theft vehicles can also be detected using the concept of online toll payment. According to the parking law in India if the rules are violated we observe Regional Transport Office(RTO) lifts and takes off illegally parked vehicles. In order to overcome this, have included the concept where client receives the alert message as well as the current location. Vehicle loses power while driving so the self powering system is included which is beneficial to run further application like AC, radio etc… using Piezo electric plates.
Shelf Life Assessment of Banana Pseudostem Cutlet
Authors:   Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India., Raju Sandra K. , Lindsey A. Philomena Joy ,   Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India., R. Emilin Renitta R., ,   Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India.
Published: August 2019

Banana pseudostems are the biological wastes obtained in huge amounts during each harvest. Their vast quantity aids in difficult disposal. Researches then came up with innovative ideas to produce value added products from them. Based on the medicinal research on banana pseudostem and their rich therapeutic properties, banana pseudostem powders are used in various food products as a means of fiber fortification in biscuts and cookies.In this research, cutlets were produced with the addition of banana pseudostem flour at level 0%(control), 5%, 10%, 15%. Cutlets at level 10 % showed best results and therefore it was evaluated to determine its cooking yield, moisture analysis, ash content, crude fibre, pH and microbial and sensory analysis. Pseudostem powder addition in cutlets resulted in higher cooking yield (98.91%) for treatments in comparison to control while the pH value (6.38) was also higher than the control. The control retained high moisture content (43.33%), ash (2.48%) and crude fiber(0.45%). Sensory evaluation projected minimal differences in texture, colour, overall appearance in treatments on comparison with the controls on 0th, 7th and 14th day . The scores obtained were in the range of acceptability. Cutlet prepared with banana pseudostem powder gained better acceptability than control. This research is a contribution for food fortification. Banana pseudostem powder act as a neutraceutical with its promising medicial properties in enhancing the mineral intake. Utilization of waste into a commercial consumable product is the innovative insight of this study.
Lora Technology Based Potholes and Humps Detection for Smart City Transportation
Authors:   Assistant Professor, Dept. of ECE, AVNIET, Hyderabad, India., Shilpa* B. , Malipatil Somashekhar ,   Assistant Professor, Dept. of ECE, AVNIET, Hyderabad, India., Reddy Jayasudha ,   Assistant Professor, Dept. of ECE, AVNIET, Hyderabad, India..
Published: August 2019

In view of developing smart cities, all the infrastructure of the city should be integrated with intelligent system. Transportation is one of the main constraints to the development of cities. Roads maintenance is one of the key factors for transportation system. In developing countries due to the increased vehicular population the maintenance becoming a complex task. Here we propose a system which detects potholes and humps on roads and send the information to higher authorities using LoRa technology. We designed a system with three modules like user module, gateway module and cloud module. User module includes an ultrasonic sensor and Lora GPS shield which should be deployed on vehicles. Through sensor we can detect the pothole and humps on roads, Lora GPS will capture the location and the information will be sent to the gateway using LoRa communication. Gateway can be anywhere in the range of 15km as LoRa module can send the information throughout this range. This information is uploaded to cloud which will be available for higher authorities to repair and maintain the roads effectively.
Groundwater Prospect Zonation Using Frequency Ratio Model For Banganga River Basin, India
Authors:   M.Tech Student, Centre for Climate Change and Water Research, Suresh GyanVihar University, Jaipur, India., Yadav* Mukesh Singh , Kanga Shruti ,   Associate Professor, Centre for Climate Change and Water Research, Suresh GyanVihar University, Jaipur, India,, Singh Suraj Kumar ,   Associate Professor, Centre for Sustainable Development, Suresh GyanVihar University, Jaipur, India,
Published: August 2019

Groundwater prospective Zonation mapping and its reasonable improvement are a significant perspective in Banganga River Basin. In the present investigation, the groundwater imminent zones were depicted by receiving a recurrence proportion (FR) model Land use land cover, Geomorphology, Geology, Drainage Density, Lineament Density Aquifer, Slope, well location and water level were the Thematic layers considered for groundwater prospective Zonation mapping. There are 157 spring wells situated in the investigation Study area, of which all wells were considered for evolution rate and staying absolute wells considered for predict rate in the FR model. The last groundwater prospective map was characterized into five zones as Very Low, Low, Medium, High and Very high. Finally, appropriate destinations for Groundwater revitalize for practical groundwater the board were distinguished. The locales were chosen based on profundity of groundwater level, wellspring of spring great areas and inclination from regular spring to select invigorate wells.Groundwater Prospective zone ranging from 2.8068 to 12.3712. It classified into five prospective classes Very low classes cover 904.62 sq km, low zone covers 1220.76 sq km, medium zone covers 1821.46 sq km, High zone covers 2145.55sq km and very High zone covers 2687.57 sqkm.Areas with steeply inclined limestone terrains and younger tough rocks had moderate to weak groundwater potential. The groundwater is mostly not appropriate in the research region for consumption but may be used for irrigation under unique circumstances, on the basis of the chemical analysis. The general findings show that using remote sensing and GIS methods provides strong method for developing groundwater and developing the right exploration scheme.
Fuzzy Eoq Model with Shortages Using Kuhns-Tucker Conditions
Authors:   Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India., Vasanthi* Dr.P. , Ranganayaki Dr.S. ,   Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India., Kasthuri Dr.R. ,   Department of Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India.
Published: August 2019

The work involves purchase inventory model with shortages under fuzzy environment. An EOQ model is formulated in which the input parameters like order cost, demand rate, carrying cost and penalty cost and the decision variables like the maximum invsentory level and the lot size are fuzzified using triangular fuzzy membership function. An optimum solution of the model is arrived by using Kuhn-Tucker conditions. The crisp values of the proposed model is obtained by defuzzifying the assumed model using Graded mean Integration (GMI) method. Finally the solutions are tabulated and an analsysis of the crisp and fuzzy values of the total cost has been done in this paper.
Soft Computing Based Prediction of Support Pressure in Tunnels
Authors:   Department of Civil Engineering, National Institute of Technology, Hamirpur, India., Dutta* Rakesh Kumar , Khatri Viswas Nandakishor ,   Department of Civil Engineering, IIT Dhanbad, India., Kumar Sanjay ,   Department of Civil Engineering, National Institute of Technology, Hamirpur, India.
Published: August 2019

Prediction of Tunnel support pressure up to an accurate and reliable degree is difficult, but of utmost importance. Empirical models are available with different set of parameters, mostly are based on the rock classification parameters. A feed forward neural network based predictive models from the data collected from literature for the Himalayan tunnels have been developed. The input variables in the developed neural network models were depth of over burden, radius of tunnel, normalised closure. The fourth input variable was rock mass quality or rock mass number or rock mass rating. The output was a support pressure. Sensitivity analysis relating the variables affecting the support pressure has been performed. The developed neural network models were compared with models developed based on the multiple linear regression analysis as well as with empirical models already available in literature. Finally, model equations have been presented based on the connection weight.
Generation of Electric Power Using Two-Wheelers
Authors:   Assistant Professor, Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India, Ramya* R. , Anitha T. ,   Assistant Professor, Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India, Nagarajapandian M. ,   Assistant Professor, Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India., Srinivasan K. ,   Head of the department, Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, Pooventhan K. ,   Assistant Professor, Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India
Published: August 2019

In the recent years power generation is also a challenging task. Mostly the power can be generated by coal mines,wind mill,etc.The proposed method involves the alternating source for generating power. Bike powered generator is a device that uses a prime mover to produce electricity in contact with a roller for charging a battery. Here an alternator is used as the electricity generator. The alternator is coupled to a pulley which is rotated by a belt and drive system. The input power is given to the paddle and final rotational speed is achieved in the alternator rotor. Therefore, mobility of equipment is of great importance. This innovation brings together the resourcefulness of power generation with the transportation feasibility of a motor bike frame.
Round Robin Scheduling Algorithm based on Dynamic time quantum
Authors:   Vivekananda School of Information Technology (VSIT), Vivekananda Institute of Professional Studies affiliated from Guru Gobind Singh Indraprastha University, Delhi India., Dhruv* Rashmi
Published: August 2019

After studying various CPU scheduling algorithms in Operating System, Round Robin scheduling algorithm is found to be most optimal algorithm in timeshared systems because of the static time quantum that is designated for every process. The efficacy of Round Robin algorithm entirely depends on the static time quantum that is being selected. After studying and analyzing Round Robin algorithm, I have proposed a new modified Round Robin algorithm that is based on shortest remaining burst time which has resulted in dynamic time quantum in place of static time quantum. This improves the performance of existing algorithm by reducing average waiting time and turn-around time and minimizing the number of context switches.
A Robust and Efficient Fault-Resilient Rad Hard ADPLL
Authors:   Department of ECE, Nitte Meenakshi Institute of Technology, Bangalore, India., Prasad* Varsha , Sandya Dr S ,   Department of ECE, Nitte Meenakshi Institute of Technology, Bangalore, India
Published: August 2019

Typically, classical PLLs adopt analog design methods. However integrating PLL with noise-prone application environment is highly tedious and somewhere confined. As per current knowledge majority of PLLs apply Analog Loop Filters (ALFs) and Voltage Controlled Oscillators which are practically highly complicated to integrate with noisy environment. Even the traditional PLLs can’t be ported to the advanced processors. In last few years, the emergence of deep-submicron CMOS technologies have enabled digitization of major traditional analog circuits, comprising the analog PLLs that as a result could be vital to overcome above mentioned issues and to achieve more efficient solution than classical analog implementation.
A Document Classification using NLP and Recurrent Neural Network
Authors:   Student, Department of Computer Engineering, JSPM's Rajarshi Shahu College of Engineering. Tathawade (Maharashtra), India., Ghumade* Ms. Trupti G. , Deshmukh Mrs. Rushali ,   Department of Computer Engineering, JSPM's Rajarshi Shahu College of Engineering. Tathawade (Maharashtra), India.
Published: August 2019

The classification technique is most important for supervised and semi supervised base machine learning task. Many classification algorithms has introduced already for existing systems. Class-label classification is an important machine learning task wherein one assigns a subset of candidate without label to an object. Classification of various document models based on short text, metadata, heading levels these are the existing techniques which are introduced in literature survey. Sometime whole data reading and processing might be take a much time for classification, so it increase the time complexity for entire system. We proposed a new document classification method based on deep learning using NLP and machine learning approach. In this work system has several attractive properties: it captures some metadata from entire abstract section and built the training set first. Once complete all document process, it deals with optimization algorithm. Recurrent Neural Network has used to categories the individual object according to their weights. And it provides final class label for entire test dataset. Based on the various experimental analysis system provides data classification accuracy as well as minimum time complexity than classical machine learning algorithms.
DC DC Boost Converter for Battery Charging Application
Authors:   EEE, Sri Krishna College of Engineering and Technology, Coimbatore, India., Kavin* R. , Rameshkumar K. ,   EEE, Sri Krishna College of Engineering and Technology, Coimbatore, India., Gnanamalar Dr.S.Sheebarani ,   EEE, Sri Krishna College of Engineering And Technology, Coimbatore, India., Ramya Dr.K.C. ,   EEE, Sri Krishna College of Engineering and Technology, Coimbatore, India., kumar R.Ramesh ,   EEE, AVS Engineering College, Salem, India
Published: August 2019

Boost converter designed to improve output voltage with the use of coupled inductor and capacitor, two switch boost converter is connected in series with parallel to supply voltage. And output of converter is consists of two diodes and two output capacitor with load resistance. Turns ratio is 1:2 in between input and output circuit, capacitor voltage will be improved through the use of coupled inductor.
EEG-EMG Correlation for Parkinson’s disease
Authors:   Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India., Paul* Sudip , Saikia Angana ,   Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India,, Hussain Masaraf ,   Department of Neurology, North Eastern Indira. Gandhi Regional Institute of Health and Medical Science, Shillong, India., Barua Amit R ,   Department of Neurology, GNRC Hospitals, Guwahati, India
Published: August 2019

Parkinson's disease (PD) is a neurodegenerative disease in which disease symptoms progresses with time and mostly affected after 50 years of age. This disorder leads to loss of interconnectivity between brain and muscles. Human Biosignal like Electroencephalography (EEG) and Electromyography (EMG) acts as a tool for detecting various cognitive decline and muscle conditions in PD. Work reported here emphasized on a study of the EEG from the frontal and temporal brain in PD and healthy subjects as well as their muscle activities for the flexion and extension of the wrist. Signal acquisition was done using a dual channel Biosignal acquisition system from AD Instruments. Signals were acquired for 30 minutes each for all the subjects in the Out Patient Departments of various hospitals. Signal analysis was carried out in MATLAB platform. Various EEG and EMG features were extracted to determine brain and muscle conditions of patients. Classification was done using Artificial Neural Network for EEG and EMG features separately. A combination of EEG and EMG feature was also classified using ANN which gave a highest classification rate of 98.8% as compared to only EEG and EMG feature. This result proved that correlation and combination of various EEG and EMG features together provides more accuracy to the disease classifier. It gives an insight into the mechanism of muscle weakness and gait problems caused from the low production of dopamine in the brain of PD by giving a high classification rate as compared to others(Only EEG features and Only EMG features). Many studies have reviled the effect of EEG and EMG using various tools but here we focus mainly on correlation between them in the early stages. Detection of conditions of brain and muscle in early stage helps the clinician for proper medication to control disease progression. This work can also be further applicable for classifying the various stages of PD and also classifying them from the healthy subjects.
Load Balancing Technique with an Efficient Method
Authors:   Computer Science & Engineering, Univer-sity of Kalyani, WB, India,, Mondal* Ranjan Kumar , Nandi Enakshmi ,   Computer Science & Engineering, University of Kalyani, WB, India, Ray Payel ,   Computer Science & Engineering, University of Kalyani, WB, India,, Sarddar Dr. Debabrata ,   Computer Science & Engineering, Universi-ty of Kalyani, WB, India
Published: August 2019

There are a huge number of nodes connected to web computing to offer various types of web services to provide cloud clients. Limited numbers of nodes connected to cloud computing have to execute more than a thousand or a million tasks at the same time. So it is not so simple to execute all tasks at the same particular time. Some nodes execute all tasks, so there is a need to balance all the tasks or loads at a time. Load balance minimiz-es the completion time and executes all the tasks in a particular way.There is no possibility to keep an equal number of servers in cloud computing to execute an equal number of tasks. Tasks that are to be performed in cloud computing would be more than the connected servers. Limited servers have to perform a great number of tasks.We propose a task scheduling algorithm where few nodes perform the jobs, where jobs are more than the nodes and balance all loads to the available nodes to make the best use of the quality of services with load balancing.
Socio-Economic Status of the Warna Basin Villages: Analysis using GIS Techniques
Authors:   Department of Geography, Shivaji University, Kolhapur, Maharashtra, India., Sapkale Jagdish B.
Published: August 2019

The assessments of the socio-economic impacts of the Warna dam for the villages of basin area have been attempted. The secondary data in the form of census data and revenue data has been used for all the villages of Warna river basin. Besides, this to cross check the actual status of the villages in terms of socio-economic development, field investigations have undertaken in some sites likely to be impacted by Chandoli dam . During the field work and even number of visits in the villages of the study area, it has observed that prior to dam construction the agricultural activities were totally dependent on the natural rainfall. Now after dam construction the water is being used for agricultural activities and agro based industries. Agricultural productivity also increased in the study area after the dam construction. GIS based differentiate techniques have used for the analysis of socio economic characteristics in the present research work..
Evaluasi Program Usaha Kesehatan Sekolah (UKS) pada Sekolah Lanjutan Tingkat Atas
Authors: Rahmawaty Elsye
Published: August 2019

ABSTRAK

Usaha kesehatan pada tatanan sekolah memiliki potensi dampak bagi peningkatan kesehatan melalui sebuah konsep promosi kesehatan sekolah (health promoting school). Dalam Kebijakan terbaru, tujuan UKS adalah untuk meningkatkan mutu pendidikan dan prestasi belajar peserta didik dengan meningkatkan perilaku hidup bersih dan sehat, dan derajat kebersihan peserta didik maupun warga belajar serta menciptakan lingkungan yang sehat sehingga memungkinkan pertumbuhan dan perkembangan yang harmonis dan optimal dalam rangka pembentukan manusia Indonesia seutuhnya. Peserta didik pada sekolah lanjutan termasuk kelompok remaja yang rentan terhadap masalah-masalah remaja. Kelompok usia remaja sering dianggap sebagai kelompok yang sehat, pada kenyataannya banyak remaja yang menjadi korban kecelakaan, bunuh diri, kekerasan, kehamilan dengan komplikasi, penggunaan tembakau/merokok, Infeksi Menular Seksual/IMS termasuk HIV/AIDS dan penyakit lain. Penelitian ini bertujuan untuk mendapatkan gambaran tentang sebuah komunitas atau mendapatkan pemahaman baru tentang sesuatu. Justifikasi atas penelitian ini adalah Usaha Kesehatan Sekolah (UKS) merupakan sebuah program kesehatan yang ditujukan bagi anak sekolah, baik sekolah formal maupun informal.

Kata Kunci : Program UKS, Pendekatan Balanced Scorecard

ABSTRACT

School Health Unit (UKS) has a potential impact on improving health through the concept of health-promoting the school. In the latest policy, the goal of School Health Unit (UKS) is to improve the quality of education and student achievement by improving healthy and clean behaviors and the level of cleanliness of student, and creating a healthy environment in order to enable harmonious and optimal growth and development in the context of the formation of whole Indonesian people. Students in high schools are a group of adolescents who are vulnerable to adolescent problems. Teenage group is often considered a healthy group. However, many teenagers, in fact, are the victims of accidents, suicide, violence, and pregnancy with complications, tobacco use/smoking, sexually transmitted infections including HIV / AIDS and other diseases. This research aims to get a picture of a community or get a new understanding of something. The justification for this research is the School Health Unit (UKS), which is a health program aimed at students, both formal and informal schools.

Keywords : UKS Program, Balance Scorecard Approach
¿Qué estamos haciendo mal en educación?
Authors: Gascón Agustín de la Herrán , Villena Higueras José Luis
Published: August 2019

En educación, hay una serie de máximas o constantes que son aceptadas habitualmente, como sentido común. Por ejemplo que, desde la formación técnico-profesional, la investigación y las publicaciones pedagógicas se intenta mejorar la educación y, desde ella, la sociedad. También se intuye que, al menos, hay algunos aspectos en este campo que están mal y que deberían cambiar.

Cuesta algo más ver que, al pensar en lo que se precisa mejorar de la educación o lo que la rodea y en cómo solucionarlo, lo habitual es cometer un error de sesgo interpretativo al apreciarlo. Esto es, se considera que falla o que no está bien lo que no encaja con nuestras convicciones. A veces, lo que creemos no se asienta en una formación suficiente. En otras ocasiones, sí, y se puede construir antes o después de un conocimiento elaborado.
Bases para un modelo de guía para la transformación de las identidades docentes universitarias
Authors: Alonso-Saéz Israel , Garagarza Aitor , Artetxe Karmele , Beloki Nekane
Published: August 2019

Este trabajo repasa los diferentes marcos teóricos y conceptuales desde los que se han desarrollado investigaciones y aproximaciones a la identidad académica, para a continuación señalar los elementos claves a partir de la literatura existente que nos acerquen a un abordaje integral y holístico de lo que supone ser profesor/a de universidad hoy. A partir de esta revisión y elementos se propone una definición de la identidad docente universitaria. Tambiénse se profundiza en cada uno de estos aspectos para poner las bases de un modelo que sirva no solo para comprender la identidad académica, sino también como referencia a las actuaciones necesarias para su transformación en relación a una mejora e impacto positivo en su trabajo y entorno profesional.
Potensi Pembuatan Produk Kemasan Ramah Lingkungan Studi Kasus Kota Bandung
Authors: Kusumowardani Pratiwi
Published: August 2019

Limbah adalah isu didalam kehidupan kita. Limbah sintetik, terlebih lagi kemasan plastik dari industri makanan dan minuman adalah penyebab paling umum dari permasalahan lmbah. Jika sebelumnya kemasan makanan menggunakan material alami, sekarang ini, karena penggunaan besar-besaran di industri makanan, kemasan makanan beralih menggunakan material sintetis. Meskipun penggunaan kertas telah diperkenalkan untuk menggantikan penggunaan plastik, para pelaku industri masih tetap memilih menggunakan plastik dibandingkan material alami, karena plastik lebih baik dalam menjagahigienitas makanan dan juga lebih murah. Penelitian ini mencari cara untuk mengurangi limbah plastik dan menciptakan metode alternatif dalam membuat dan mengimplementasikan kemasan makanan. Termasuk melakukan penelitian untuk material baru, metode kemasan alternatif dan implementasi desain baru dalam industri kemasan makanan. Studi kasus untuk penelitian ini adalah kota Bandung, karena kota ini terkenal dengan banyaknya limbah yang dihasilkan. Luaran penelitian ini dapat diaplikasikan untuk kota lain di Indonesia.
Hubungan Antara Self-Regulated Learning dan Prestasi Akademik pada Mahasiswa Semester Pertama Prodi Psikologi Universitas Pembangunan Jaya
Authors: S Supriyanto
Published: August 2019

Masa transisi dari jenjang pendidikan menengah (SMA) ke jenjang pendidikan tinggi (universitas) merupakan periode yang krusial bagi mahasiswa baru. Belajar di perguruan tinggi menuntut mahasiswa untuk lebih mandiri, aktif, mengambil keputusan yang tepat dan rasional berkaitan dengan studinya dan mengeksplorasi potensi-potensi yang dimilikinya. Menurut Arjanggi dan Suprihatin (2010), kapasitas regulasi diri (self-regulated learning) memiliki perang penting dalam menentukan kesuksesan pembelajaran mahasiswa di perguruan tinggi. Tujuan penelitian ini adalah untuk melihat hubungan antara self-regulated learning dan prestasi akademik pada mahasiswa semester pertama Prodi Psikologi Universitas Pembangunan Jaya. Hasil penelitian menunjukkan bahwa tidak ada hubungan yang signifikan antara self-regulated learning dan prestasi akademik pada mahasiswa semester pertama Prodi Psikologi Universitas Pembangunan Jaya.Kata kunci: self-regulated learning, prestasi akademik mahasiswa, pendidikan tinggi
Permasalahan Pelestarian Sumber Daya Air Jakarta
Authors: Adikesuma Tri Nugraha
Published: August 2019

Air adalah materi vital bagi setiap makhluk hidup. Namun keberadaannya seringkali tidak disyukuri dan disia-siakan dan disalahgunakan. Pengelolaan air yang tidak pada tempatnya ini menyebabkan munculnya begitu banyak kerugian. Pelestariannya yang diabaikan menyebabkan permasalahan ketika jumlah air melimpah pada musim penghujan, namun tidak bisa dimanfaatkan. Ketika musim kemarau tiba, jumlahnya tidak seberapa, dan untuk mendapatkannya memerlukan pengorbanan lebih. Jakarta adalah salah satu kota di dunia yang mengalami permasalahan serupa. Volume air yang melimpah di musim penghujan menyebabkan banjir di mana-mana, menimbulkan kerugian yang tidak sedikit dalam berbagai aspek. Di musim kemarau, banyak anggota masyarakat yang kesulitan mendapatkan air untuk memenuhi kebutuhan sehari-hari.Kajian ini dibuat untuk mengidentifikasi permasalahan pengelolaan air Daerah Khusus Ibukota Jakarta dari sudut pandang konservasi Sumber Daya Air. Permasalahan penggunaan tanpa izin kawasan bantaran sungai dan perubahan tata guna lahan di berbagai bagian Daerah Aliran Sungai, terutama di bagian hulu menjadi masalah yang tidak bisa dibiarkan begitu saja. Peningkatan angkutan sedimen karena erosi lahan dan penurunan indeks kualitas air juga patut mendapatkan perhatian lebih.Kata kunci: Air, Konservasi, Jakarta
Pengaruh Diskriminasi Kerja Pada Restoran Soerabi Bandung HNH
Authors: Jainudin Intan , Pitaloka Endang
Published: August 2019

Penelitian ini bertujuan untuk menganalisa pengaruh diskriminasi kerja terhadap komitmen organisasi baik secara langsung maupun melalui stress kerja pada karyawan di restoran Soerabi Bandung HNH. Responden penelitian ini adalah 30 karyawan di restoran. Instrumen penelitian yang digunakan berupa kuesioner. Data kuesioner yang telah diisi kemudian diolah menggunakan SPSS dan AMOS. Hasil penelitian menunjukkan bahwa variabel diskriminasi kerja tidak berpengaruh terhadap komitmen organisasi secara langsung. Diskriminasi kerja berpengaruh secara signifikan terhadap komitmen organisasi melalui stres kerja.Kata Kunci : diskriminasi kerja, stres kerja, komitmen organisasi, restoran
Prospek Kebutuhan Layanan Psikologis Untuk Atlet Jaya Raya
Authors: Soerjoatmodjo Gita Widya Laksmini , Kaihatu Veronica , Moningka Clara , Fransisco Yulius
Published: August 2019

Setelah berdiri 40 tahun, Jaya Raya sebagai salah satu klub bulutangkis terdepan mendirikan Sekolah Bulutangkis pertama di Indonesia yang membina 80 atlet usia 12-18 tahun cabang tunggal putra, tunggal putri, ganda putra, ganda putri dan ganda campuran. Permasalahan Jaya Raya adalah kebutuhan menelurkan juara bulutangkis dimana upaya tersebut membutuhkan layanan psikologis. Tujuan penelitian ini adalah memotret prospek kebutuhan layanan atlet Jaya Raya. Dengan pendekatan Rapid Assessment Process, penelitian aksi ini mengumpulkan data dari wawancara, diskusi kelompok dan workshop yang dianalisis menggunakan triangulasi. Hasil penelitian ini menunjukkan kebutuhan akan pengetahuan pedagogi dan perkembangan remaja; keterampilan psikologis seperti goal setting, mental imagery dan self-talk; profil, instrumen alat ukur dan konseling serta manajemen sumber daya manusia di tingkat organisasi. Kesimpulan penelitian adalah ada prospek layanan psikologis pada pelatih teknik, pelatih fisik, guru, pengurus asrama maupun Jaya Raya sendiri sebagai organisasi.Kata Kunci : Psikologi Olahraga, Pengukuran Kebutuhan, Penelitian Aksi, Layanan Psikologis, Bulutangkis
Perancangan Aplikasi Balok Beton Bertulangan Rangkap Berbasis Android
Authors: Tamaragirisha Aulia , Setiawan Agustinus
Published: August 2019

Penelitian ini bertujuan untuk mengembangkan suatu aplikasi berbasis android, yang dapat digunakan untuk menganalisis dan mendesain balok beton bertulang. Aplikasi ini dinamakan ConBeam2, yang memiliki kemampuan untuk menganalisis dan mendesain suatu penampang balok beton bertulangan rangkap. Standar peraturan yang digunakan dalam aplikasi ini adalah SNI 2847:2013 â€œPersyaratan Beton Struktural Untuk Bangunan Gedungâ€. Aplikasi berbasis android ini dikembangkan dengan menggunakan metode waterfall yang sudah dirancang di dalam Intel XDK. Aplikasi ConBeam2 telah menjalani pengujian blackbox dan whitebox (manual). Dibandingkan dengan perhitungan secara manual, ConBeam2 memberikan hasil yang sama persis. Sehingga dapat dinyatakan bahwa aplikasi ConBeam2 dapat diandalkan penggunaannya.Kata Kunci : ConBeam2, blackbox, whitebox, balok bertulangan rangkap, android
Pengaruh Return on Equity, Earning per Share (EPS), dan Debt to Equity Ratio terhadap Price Earning Ratio (PER) Pada PT Indofood Sukses Makmur. Tbk Periode 2012-2014
Authors: Mulyani Lydia , Pitaloka Endang
Published: August 2019

Penelitian ini bertujuan mengetahui pengaruh Return on Equity, Earning per Share, dan Debt to Equity Ratio (DER) terhadap Price Earning Ratio pada PT. Indofood Sukses Makmur Tbk periode 2012-2014. Price Earning Ratio sebagai variabel terikat dan Return on Equity, Earning per Share, dan Debt to Equity Ratio sebagai variabel bebas. Teknik analisis data yang digunakan adalah regresi berganda. Hasil penelitian ini menunjukkan secara parsial variabel Return on Equity dan Debt to Equity Ratio (DER) mempengaruhi Price Earning Ratio secara signifikan, sedangkan variabel Earning per Share tidak berpengaruh terhadap Price Earning Ratio. Namun hasil pengujian secara simultan menunjukkan bahwa semua variabel bebas berpengaruh terhadap Price Earning Ratio.Kata kunci : Return on Equity (ROE), Earning per Share (EPS), Debt to Equity Ratio (DER), Price Earning Ratio (PER)
Travel Time Cost for Private Car in Bumi Serpong Damai (BSD) City: Income and Mode Choice Approach
Authors: Mansyur Resdiansyah , Philip.S Fredy Jhon
Published: August 2019

Abstract : Travel time cost is one of the primary aspects that considered, especially with respect to its economic impact. To account for the increment of road users, often travel time cost has to be highlighted and further investigated. One technique to compute travel time costs is by using travel time evaluation as a loss opportunity that used to produce traveling needs. The aim of the study is to compute travel time cost for the private transportation users in BSD City by employing two methodologies. Income approach is the first method, which requires only two factors to be computed (capital income and amount of annual working hour assuming that time used to produce one product as function of personal income). For mode choice approach, the method uses the travel time cost from the model to estimate the choices comparison from the specified mode traffic. In this model, comparisons of choices are assumed as a function of two independent variables; operational cost and time cost. Travel time cost is defined as the comparison between parameter of travel time cost against the operational cost. Additionally, the study adopted stated preference techniques surveys, which have been undertaken in BSD town area to derive the travel time cost. The survey focused on the private car passengers where background information collected were traveling distance, time of travel, journey characteristics, education level, employment and income of the respondents respectively. Subjects were asked to choose between different scenarios of mode choices. For income approach method, the results showed that the travel time cost for the private transport commuters was Rp 6,272 / hour/ person and Rp. 11,828 / hour / person by using mode choice approach. It was found that the value of time has increased as the income increases. Thus, value of time is significant in accounting for personal income.Keywords : Income, Mode Choice, Stated Preference
Upaya Meningkatkan Daya Tarik Produk Makanan Dan Minuman Oleh-Oleh Di Tempat Destinasi Wisata Melalui Kajian Tanda Pada Desain Kemasan
Authors: Margono Samodro
Published: August 2019

Abstrak : Daya tarik produk makanan dan minuman oleh-oleh dapat ditingkatkan melalui pengembangan desain kemasan yang baik. Upaya meningkatkan daya tarik dapat dilakukan melalui pengembangan desain kemasan yang mengacu pada pemenuhan kebutuhan konsumen yaitu melalui khayalan atau fantasi terhadap destinasi wisata daerah tertentu. Kebutuhan tersebut merupakan upaya pemenuhan kebutuhan akan kenangan atau “memorabilia” sebagai pengingat pada saat kunjung wisata tersebut. Ciri budaya lokal yang khas merupakan pengingat sehingga dapat menjadi sumber ide dalam pengembangan desain kemasan produk makanan dan minuman oleh-oleh. Ciri budaya lokal dapat menjadi identitas tanda visual yang pada akhirnya dapat menjadi daya tarik pada tampilan desain kemasan.Kata Kunci : daya tarik, kemasan, budaya lokal
Pendekatan MetaforaVisual Dalam Gaya Pesan Iklan Televisi Unique Selling Proposition
Authors: Suprapto Ratno
Published: August 2019

Abstrak : Strategi kreatif merupakan hal yang sangat penting dalam membuat iklan televisi, seringkali kita melihat berbagai gaya pendekatan strategi kreatif agar iklan dapat tersampaikan dengan komunikatif. Salah satunya adalah iklan televisi produk otomotif. Iklan televisi produk otomotif ini khususnya KIJANG INNOVA VVT-i menyampaikan gaya pesan iklannya dengan pendekatan unique selling proposition sebagai strategi kreatifnya. Tentu saja hal ini mejadi pertanyaan mengapa iklan produk tersebut disampaikan dengan gaya Unique selling proposition dengan muatan unsur metafora visual. Metafora merupakan salah satu bagian dari struktur bahasa yang kemudian ditransfromasi menjadi gaya ungkap visual dalam menyampaikan pesan iklan. Metafora visual menjadi gaya ungkap, sedangkan unique selling proposition merupakan gaya pesan kreatif dalam menyampaikan informasi yang akan disampaikan. Muatan makna dalam suatu pesan metafora visual dan unique selling proposition sangat kuat relasinya, antara makna denotatif dan konotatif dapat saling berlelasi secara makna simbolik diantara keduanya. Penelitian ini menggunakan metode tekstual analisis semiotik untuk menganalisa setiap gaya ungkap visual dalam pesan iklannya. Hal ini agar memudahkan peneliti membaca dan menganalisa serta memaparkan hasil kajiannya. Dengan demikian, dalam merancang suatu pesan iklan televisi khususnya, gaya pesan unique selling proposition dan gaya ungkap visual metafora visual dapat memberikan kekuatan pesan yang memiliki makna yang kuat pula sesuai dengan pesan yang akan disampaikan. Sehingga produsen, pembuat iklan dan penerima pesan dapat memahami isi kontek didalam iklan dengan pendekatan unique selling proposition ini dengan muatan unsur metafora visual.Kata Kunci : Iklan, unique selling proposition, Metafora Visual
Transformasi Digital Majalah Hai Dalam Upaya Mempertahankan Eksistensi Brand
Authors: Aliudin Emma Rachmawati , Arisanty Melisa
Published: August 2019

Industri media cetak di Indonesia semakin memasuki fase kepunahan. Dihentikannya majalah remaja Hai, salah satu majalah remaja populer di Indonesia, semakin memperkuat asumsi bahwa industri media cetak di Indonesia kian tergeser oleh kelompok media massa yang berbasis digital. Sejak Juni 2017, media yang sudah beroperasi dari tahun 1977 tersebut secara resmi berpindah total ke platform digital. Majalah Hai merupakan majalah bersegmentasi remaja yang diterbitkan oleh Kompas Gramedia. Majalah ini memiliki peran penting dalam sejarah media cetak di Tanah Air dan terbukti berpengaruh besar dalam menginspirasi kaum muda Indonesia. Transformasi atau perpindahan dari platform cetak ke platform digital tidak dilakukan secara drastis namun melalui konsep multiplatform yang menggabungkan beberapa platform media (konvergensi). Upaya ini dilakukan untuk memberikan pilihan konten dan medium yang beragam dalam rangka menjawab tantangan perubahan pola konsumsi media dan trend penggunaan media di kalangan remaja saat ini. Dengan adanya gambaran fenomena tersebut perlu dilakukan penelitian kualitatif dengan strategi penelitian studi kasus untuk menganalisis secara mendalam latar belakang proses transformasi digital suatu media cetak dalam upaya mempertahankan eksistensi brand-nya. Dengan demikian, hasil penelitian ini akan berkontribusi sebagai landasan pengambilan kebijakan dalam mengembangkan industri media dan menunjukkan trend transformasi digital pada industri media saat ini.Kata Kunci : Transformasi Digital, Media Cetak, Eksistensi Brand
Prototipe Sistem Notifikasi Banjir Menggunakan Arduino Uno Dan Gsm Modul Untuk Warga Universitas Pembangunan Jaya Kampus Bintaro
Authors: Susilo Renintha , Gibran Muhammad , Akbar Fathan , Pratiwi Heny Ispur
Published: August 2019

Tingkat genangan hasil curah air hujan di area akses masuk dan keluar kampus Universitas Pembangunan Jaya (UPJ) dari atau menuju lingkar jalan raya Bintaro Xchange Mall (tepatnya di Jalan Bakti Karya) bisa mencapai lebih dari 35 cm, angka ketinggian tersebut sudah merendam separuh diameter ban motor ukuran normal, sehingga akan mengganggu kelancaran aktivitas akademik UPJ. Sebuah purwarupa sudah dirancang bangun berbasis mikrokontroler Arduino Uno, GSM Modul untuk membantu memberi notifikasi para warga UPJ tentang kondisi tingkat genangan volume airpada jalan akses tersebut melalui sistem SMS terdaftar, sehingga warga UPJ tidak terjebak di area tersebut.Kata Kunci : Arduino Uno, GSM Modul, Water Level Senso
Commuter Train Mode Choice Modelling Using Binary Logit Model
Authors: Nugraha Ryan Septiady
Published: August 2019

Car production in Malaysia increasing dramatically. This situation created serious impact such as pollution and congestion. The Malaysian government should find a proper solution to prevent the vehicles growth by controlling them and improve public transportation services. The only way to get people to switch to public transportation is by improving the public transport system becomes more efficient. To find out the solution, an understanding of traveler behavior by applying to mode choice model using binary logit approach is necessary. Stated preferences method was adopted in order to construct hypothetical choice in current and future situations. A total of 250 respondents were selected as the sample based on the research study. This research employed a discrete choice analysis to examine the relationship between the independent variables (travel time, fares, comfort and safety). With variation of trip purpose (school, work, leisure activity, and shopping), model has been developed and tested to check the validity. The result shows that the potential of new train services to compete with the current commuter (KTM) and private car user are quite competitive. This is no doubt due to the characteristics of the respondent to choose a good level of services especially a better comfortability and safety with an affordable price (fares). It can be concluded that scenario 2 has great potential to be implemented since forecasting demand reached above 90%.