bluuebunny/crossref_metadata_2025 huggingface dataset:
Iot and Weather Based Smart Irrigation Monitoring And Controlling System for Agriculture
Authors:   Assistant Professor, Department of Computer Science, Thiruvalluvar University Constituent College, Cuddalore, Tamilnadu, India., Amalraj* Dr. J. Jegathesh , Sivakumar Dr. M. ,   Assistant Professor, Department of Mathematics, Thiruvalluvar University Constituent College, Cuddalore, Tamilnadu, India.
Published: December 2019

Effective and successful agriculture requires effective water management. Irrigation at appropriate periods and at appropriate levels results in profitable yields. Technology can provide an effective solution for this domain. This work presents an IoT based prediction model that can be to create a smart irrigation system for farming. The proposed architecture is composed of three layers; the data collection layer, machine learning based rainfall prediction layer and the rulebased irrigation requirement identification layer. The data collection layer operates in multiple levels using sensors and APIs, obtaining ground based information and also weather information. The machine learning layer performs rainfall prediction based on past data and the final layer uses defined rules to identify the irrigation needs of crops. The major advantage of this model is that it is not fine tuned to a single crop. The model can be used for any crop and can also be used for multiple crops by the same farmer.
Major Courses Selection using Three Layer Factors: A Recommender System
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Mounika* Ghanta. Pavani Lakshmi , Chaitanya Bobburi. Sri Sai ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Reddy Chitte. Sai Manohar ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Surya Kiran Jonnalagadda. ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
Published: December 2019

Data mining is one of the significant territories. Since numerous understudies will face difficulties and disarray while picking their significant courses in their graduation and even in the wake of picking their real few are in danger of bombing in it because of less intrigue and endeavors, so we should have a model to discover their interests and help them to pick their real seminars all alone. This methodology proposes three-layered representation which could be adjusted consecutively for the profound established arrangement. The recommended model would be utilized to early identify students who may be in danger because of miss coordinate determinations of the major course’s groupings. The essential target incorporates the disclosure of examples, wherein the students can choose or lessen danger of failure of their major courses
Modelling of Transformerless Upfc Toimprovepower System Stability using Optimization Technique
Authors:   Assistant Professor , Department of EEE, Aditya institute of technology and management, tekkali, Srikakulam,Andhrapradesh, Tarra* Jaganmohan Rao.
Published: December 2019

Generally, power system faces the problem to transfer power from one system to another system without any fluctuations, with minimal of system losses. To overcome this problems, a flexible ac transmission system is implemented in this paper. In present scenario, facts devices are used to reduce the transmission losses for improvising transmission capacity and also to improve the system capability. Unified Power Flow Controller plays a most prominent role in FACTS controller to improve the system stability. The structure of UPFC is combination of back-back converters with boosting and zigzag transformer. This type of UPFC system consists of high losses due to presence of magnetic properties in this transformer. With this, a transformer-less multilevel inverter based UPFC topology is proposed in this paper. This paper focuses on the modulation of transformerless UPFC with PSO, which controlsfundamental frequency for better controlling of active and reactive power, harmonic minimization, and improvement in efficiency of system by controlling DC link voltage.
Network Intrusion Detection and Measuring the Data Set Performance by Machine Learning Technique (MLT)
Authors:   Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India., Abirami* A. , Bhavadharini R.M. ,   Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India., Prakash N.B. ,   Department of Electrical and Electronics Engineering, National Engineeering College, Kovilpattii, India., Hemalakshmi G.R. ,   Department of Computer Science and Engineering, National Engineeering College, Kovilpattii, India.
Published: December 2019

Intrusion Detection System (IDS) is the most mainstream approach to protect a computer network from different malicious activities to identify an intrusion. There have been a lot of attempts towards more exceptional performance specifically in IDSs which depends on Data Mining (DM) and Machine Learning Techniques (MLT). Though there is a destructive issue in that available assessment, DataSet (DS), called KDD DS, can't reflect current network circumstances and the most recent attack situations. As far as we could know, there is no possible assessment DS. We present a novel evaluation DS in this paper, called Kyoto, based on the 5 years of actual traffic information, which derived from different sorts of honey pots. This Kyoto DS is utilized for testing and assessing distinctive MLT has examined in this work. The attention was on unprocessed measurements True +ve (TrPo), False +ve (FaPo), True – ve (TrNa), and False – ve (FaNa) to assess execution and to improve the identification rate of IDS.
Psychological factors effects on Propensity towards Indebtedness by applying the Behavioural Economic Theory: Evidence in Malaysia
Authors:   pursuing a Ph.D. (Business Economics), Faculty of Economics and Management, University Putra Malaysia (UPM), Malaysia and Lecturer, Faculty of Business Economics and Management, HELP University, Malaysia., Selvaraja* Monica , Abdullah Dr. Amalina ,   Senior Lecturer, Faculty of Economics and Management, University Putra Malaysia (UPM), Malaysia.
Published: December 2019

This study objectifies to construct a model of propensity towards indebtedness through the application of psychological factors from 172 respondents in Malaysia. A questionnaire which consist of 57 questions was administered. The questionnaire addressed four psychological factors (emotion, risk perception, myopia and overconfidence). The finding indicated negative emotion, high risk perception, myopic, and overconfidence consumers results to high propensity to indebtedness. By using the Structural Equation Modelling (SEM), all two hypotheses are confirmed with two new ones inserted. Thus, since propensity to indebtedness are often detrimental to consumers’ insolvency, it is appropriate for interested parties to invest time and effort to diagnose the influence psychological factors have on the propensity to indebtedness, hence, this model will prove valuable. This conceptual model provides an insightful foundation for the analysis of multidimensionality of psychological factors on the propensity to indebtedness.
Attendance Posting Through Face Recognition
Authors:   School of Information Technology and Engineering,, Vellore Institute of Technology, Vellore, India., Angulakshmi M. , Deepa M. ,   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India., Sudha S. ,   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India., Brindha K. ,   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India., Rathi R. ,   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Published: December 2019

Now a day’s face detection technology is widely used technique. It attracted attention for much valuable application in the market such as face recognition system. Biometric authentication is most important method in security system. Universally used Biometric fingerprint scanner can be bypassed quite easily. It can be broke easily. Biometric face recognition has been introduced to improve the security of a system. Methods such as Motion based and texture based are used for biometric face recognition. But these methods have less robustness and poor generalization ability. But apart from further security issues, this paper presents a new approach to make attendance of the student in class by the face recognition. Now a day’s attendance system is usually done manually or by the biometric fingerprint. Those are mistaken and tedious techniques. So this technique records the student’s participation in classroom consequently and provide facility for teachers for obtaining the data of the student effectively using log to check in and out time
An Efficient Intelligent Diabetes Disease Prediction using AI Techniques
Authors:   Department Of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP., Reddy* K. Sai Prasanna Kumar , Seshu G. Mohan ,   Department Of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP., Reddy K. Akhil ,   Department Of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP., Rajeswari Dr.P. Raja ,   Professor, Department Of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP.
Published: December 2019

This project aims in assisting doctors to predict diabetes disease in prior based on present health parameters like blood plasma, age, insulin level, pregnancy, body mass, skin thickness, paediatric conditions and blood pressure. Machine learning tools have huge impact in medical field day by day. It is quite difficult to make correct decisions in future prediction of disease. But this project uses convolution neural network system to make efficient classification. Here classification happens as Diabetic or Non-Diabetic based on the health parameters. The results obtained has an accuracy level of 84% and further the accuracy can be enhanced by more interesting deep neural networks, which is a further improvement step for this project. Multilayer perceptron neural network is the algorithm used for binary classification of diabetes. It involves feature analysis of all those 8 parameters and their reflection on being diabetic or not. This is a computer aided system, which doesn’t require frequent blood tests of patients in order to make predictions. Henceforth, saves both time and money making the hospital system efficient. The GUI is developed to fetch the data to send it for backend analysis. The dataset used here is Pima Indian Diabetes Dataset which is a collection of 768 patients’ health records.
Stability Analysis of Wind Farm Connected Multi Machine System Using Fuzzy Controller Based STATCOM and SVC
Authors:   Electrical Engg. Deptt KNIT Sultanpur, India., Kumar Varun , Pandey A S ,   Electrical Engg. Deptt KNIT Sultanpur, India., Sinha S K ,   Electrical Engg. Deptt KNIT Sultanpur, India.
Published: December 2019

Large capacity wind farm are used to fulfil the demand of power now days. Stability of these wind farms is the main concern when integrating with the large power system. FACTS devices are employed with the system to advance the dynamic time responses of the system. In this paper a comparative analysis of STATCOM and SVC has been done. At the place of conventional controllers like P, PI, PID fuzzy logic control (FLC) has been used in the FACTS devices used. These FACTS devices are used to improve the power quality of the overall system. To inspect the system performance and analyze the behavior of the system a three phase to ground fault has been taken into account at two different locations, the software used for modelling and simulation is MATLAB/Simulink. Results demonstrate damping and oscillations of Fuzzy controlled STATCOM and SVC based system.The comparative analysis shows that the system with FLC based STATCOM has better performance than the FLC based SVC and fast fault clearance.
Design and Implementation of Hybrid FIR Filters using Vedic Multiplier and Fast Adders
Authors:   Assistant Professor (S.G),Department of E.I.E ,Karapakkam, Chennai, India, Jayakumar* S. , Selvam R. ,   Assistant Professor ,Department of E.E.E ,Karapakkam, Chennai, India, Karthikeyan K. ,   Associate Professor ,Department of E.I.E ,Karapakkam, Chennai, India, Natesan R. ,   Assistant Professor (S.G),Department of E.E.E ,Karapakkam, Chennai, India
Published: December 2019

FIR (Finite Impulse Response) filters play a significant role in the field of Digital Signal Processing (DSP) to eliminate noise suppression in Electro Cardio Graph (ECG), Imaging devices and the signal stored in analog media. So filter evaluation is accomplished to reduce the noise level. The Filter passes only the desired frequency to pass thereby reducing distortion in the processed signal during measurement. The FIR filter comprises of basic units like adders, multipliers and the delay element for its operations.FIR and IIR are the two types of digital filters chosen based on the range of inputs, complexity and size requirement. Multipliers and adders play a vital role in deterring the performance of FIR filter. In this work, we design and analyze different multiplier and adder for high-performance Fir filter implementation. The Vedic Mathematics is the methods containing 16 Sutras to aid fast mental calculations. In this work, we propose modified Anurupye Vedic multiplier methods with Kogge Stone fast adder for implementation in the direct form FIR filter. This approach provides 1.5% decrease in delay and 10.2% reduced in power, hence increasing speed marginally than previous methods. Along with low power consumption in Very High-Speed Hardware Description Language (VHDL), all the adders and the multiplier topologies are Synthesized using (Xilinx Spartan – 6 FPGA) Trainer Kit and the proposed 8 – Tap FIR filter is executed using this Board.
Some Expansion of Fuzzy Paranormal Operators
Authors:   Assistant professor in Mathematics, Chikkanna Govt. Arts College, BharathiarUniversity,Tamilnadu, India., Radharamani* A. , Brindha A. ,   Assistant professor in Mathematics,,Tiruppur Kumaran College for Women,BharathiarUniversity, Tamilnadu, India.
Published: December 2019

Let be a Fuzzy Hilbert space over the fields of and FB( ) is the set of all fuzzy continuous linear operator on .In this paper we introduce the expansion of different fuzzy paranormal operators like n- fuzzy paranormal operator, *- fuzzy paranormal operator and nth -fuzzy paranormal operator, which all are developed from paranormal operators and their characteristics. The study resulted the properties of an n- fuzzy paranormal operator, * fuzzy paranormal operator and nth -fuzzy paranormal operator and their relationship between them. To investigate the nature of these operators, all it needs the nature of the n- fuzzy paranormal operator.
Data Warehouse Testing: A Step Towards using Business Intelligence in Banking
Authors:   Research Scholar, BIT (Mesra, Ranchi), India., Mathur* Sonali , Gupta Prof. (Dr.) S. L ,   Dean, Waljat College of Applied Sciences, Sultanate of Oman., Pahwa Prof. (Dr.) Payal ,   Principal, BPIT, Rohini, Delhi.
Published: December 2019

In the modern era, technology plays a vital role by contributing in the development of business by providing various tools and techniques to enhance the business decision-making process. Data warehouse is an important entity that contributes to the decision-making process, which can be seen in the literature available over the years. Data warehouse provides the basis for quality analysis of available data by deriving accurate information from data. Like many other industries, banking sector is also facing challenges due to various reasons like large over-dues, non-performing assets, changing customer demographics, matching customer expectation levels, increased competition from financial technological companies and banking competitors, etc. Thus data warehouse system serves to be the best solution for the banks to overcome challenges as data warehouse system integrates all the data at one place and provides a consolidated view of the past transactions which can be used for report generation and performing analytical analysis in order to help the management to maximize business performance. In addition to making strategic decisions, data warehouse also assist in helping the banks to improve customer retention, optimize discounting, market segmentation, business performance, customer deposits, etc. Thus, a data warehouse system provides a solution to all data management problem and generate patterns and reports for analytical end users for enhancing decision making processes. In this research paper, we shall be representing a bank model that focuses on the loan department of a bank data warehouse and shall be explaining how business intelligence plays a role in improving the loan analysis for the banks. Loan analysis may include summarizing the classified loans, analyzing loans within and exceeding the threshold limits of Loan-To-Value (LTV) ratio, analysis of loan rejections and other analysis pertaining to loans.
The Development of Low-Temperature Lead-Free Solders using Sn-Bi Solders Alloys
Authors:   Faculty of Mechanical Engineering and Manufacturing at the University Tun Hussein Onn Malaysia., Hashim* M. S. , Azlina O. Saliza ,   Faculty of Mechanical & Manufacturing Engineering, University Tun Hussein Onn Malaysia, Efzan M. N. Ervina ,   Deputy Director, Research Management Centre, Multimedia University, Malaysia.
Published: December 2019

Lead-free solders have been the substructure innovation of electronic interconnections for many decenniums due to the widespread utilization of electronic contrivances. Sn-Ag–Cu (SAC) is presently seen as the popular lead-free solder alloy for bundling interconnects in the electronics industry. In this review, the study on the development of low-temperature Pb-free solders using Sn-Bi solder alloys will be discussed regarding thermal behaviour and wettability. The impact of alloying on these compounds is depicted as far as basic microstructural changes, mechanical properties, and reliability. The review closes with a perspective for cutting edge electronic interconnect materials.
Adaptive Noise Cancellation from Speech Signals using Variablestep Sizealgorithm
Authors:   Research Scholar in the Department of Electronics and Communications Engineering, Dept. Guntur, GIRIKA JYOSHNA , RAHMAN MD ZIA UR ,   (M’09) (SM’16) received M.Tech. and Ph.D. degrees from Andhra University Visakhapatnam
Published: December 2019

Noise cancellation from the speech signal is the most importanttask in applications like communications, hearing aids, speech therapy and many others. This allows providing good resolution speech signal to the user. The speech signals are mostlycontaminated due to the several natural as well as manmade noises. As the characteristics of these noises random in its nature filtering techniques with fixed coefficients are not suitable for noise cancellation task. Hence, in this work an adaptive noise canceller algorithmhas driven for enhancement of speech signal applications which has the capability to update its weight coefficients based on the statistical nature of the undesired component in the actual speech signal. In our experiments in order to achieve better convergence rate as well as filtering capability we propose Step Variable Least Mean Square (SVLMS) algorithm instead of constant step parameter. The computational complexity of the speech enhancement process is also a key aspect due to the excessive length of the speech signals in realistic scenario. Hence, to reduce the computational complexity of the proposed mechanism we used Sign Regressor SVLSM (SRSVLMS), which is a hybrid realization of familiar sign regressor algorithm and the proposed SVLMS. Using these two techniques noise cancellation models are developed and tested on real speech signals with unwanted noise contaminations. The experimental outputsconfirm that the SRSVLMS based speech signal enhancement unit performs better than its counterpart with respect to convergence rate, computational complexity and signal to noise ratio increment.
Parameters for Acoustic Design in Auditorium
Authors:   Amity School of Architecture and Planning, Amity University, Noida sector 125, Uttar Pradessh India., Sharma* Prerna , Prakash Neha ,   Amity School of Architecture and Planning, Amity University, Noida sector 125, Uttar Pradessh India.
Published: December 2019

The clarity of communication in any auditorium is closely associated to the quality of acoustic treatment of that space. This quality is characterized by various parameters in acoustic designing. This research paper aims to explain the acoustical phenomenon and defects that becomes the basis of acoustical designing and material selection. The paper includes the basic guidelines and techniques for an auditorium acoustics designing, including fundamental thumb rules for selection of materials with respect to NRC values required in a space. The paper attempts to explain the NRC values that are generally considered on various surfaces of an auditorium to achieve the most efficient sound distribution in the space. Recommendations for surface finish have been conferred to achieve the required acoustical effect in an auditorium.
Role of Passion as a Mediator between Motivational and Individual Traits of Technology Entrepreneurs
Authors:   Associate Professor & Head, Department of Accounting & Finance , M.O.P Vaishnav College for Women, No. 20, 4th lane Nungambakkam high road, Nungambakkam Chennai, Prathiba C.S* Dr. Srividya
Published: December 2019

Background and Objectives:Technology today plays a major role in devising a creative business idea and implementing the same. The process of translating an idea into business depends on the individual who is able to harness his individual potential and self-motivation to bring about a business venture. This paper aims at devising a structural equation model on the individual factors and motivational factors which can bring about a technological business venture. Methods: A conceptual framework has been prepared and tested with a structural equation model. The study was conducted with primary data collected from 100 techno entrepreneurs in the city of Chennai and Bangalore using a structured questionnaire. Results: Exploratory Factor Analysis (EFA) confirmatory factor analysis (CFA) and structural equation modeling has been used to identify the various motivational and individual factors that facilitateindividuals becoming entrepreneurs taking up businesses which use technology for its growth. Structural equation modeling was used to test the hypothesis. Conclusions:The findings highlight the individual and motivational the factors create a spur that sets a tone to play a vital role in establishing a enterprise that is technology driven.
Serum 25-hydroxyvitamin D is associated with renal fi brosis (experimental study)
Authors: Bogdanova E. O. , Ivanova G. T. , Galkina O. V. , Zubina I. M. , Beresneva O. N. , Parastaeva M. M. , Kayukov I. G. , Dobronravov V. A.
Published: December 2019

INTRODUCTION. Vitamin D deficiency is commonly observed in patients with chronic kidney disease (CKD) due to decreased biosynthesis of 1,25(OH)2D3 in damaged renal tubules and increased catabolism of 1,25(OH)2D3 and 25OHD3. There is a growing evidence that vitamin D deficiency may contribute to impaired kidney function. Interventional studies have shown that vitamin D and its analogs attenuate the progression of renal fibrosis in experiment, and reduce proteinuria in patients with CKD. The renoprotective effects of vitamin D go far beyond its classical role in maintaining bone and mineral metabolism, which is a result of its pleiotropic action. THE AIM: to investigate the association between 25OH-hydroxyvitamin D (25OHD) level and renal fibrosis in spontaneously hypertensive rats (SHR) with early stages of experimental CKD.

MATERIAL AND METHODS. Systolic blood pressure (BP), proteinuria, albuminuria, creatinine (Cr), urea (Ur), inorganic phosphate (Pi), 25OHD in serum were measured in nephrectomized (NE) and sham operated (SO) spontaneously hypertensive rats SHR (follow-up period 2, 4 and 6 months) and SO Wistar Kyoto rats (follow-up period 2 months), morphological light-optical study of kidney tissue was performed.

RESULTS. The experimental model corresponded to the initial stages of CKD (Ur: 6.64 – 13.36 mmol/L). A significant increase in the area of renal fibrosis in animals with NE correlated with an increase in blood pressure (r = 0.51, p <0.001), serum Cr (r = 0.76, p <0.001), and albuminuria (r = 0.64, p <0.001) and proteinuria (r = 0.78, p <0.001) and a decrease in the concentration of 25OHD in serum (r = -0.67, p <0.001). In multiple regression analyzes, a reliable association of fibrosis with 25OHD was maintained (β = -0.28, p = 0.012). In addition, in ROC-analysis the largest value of the area under the curve was obtained for 25OHD (AUC = 0.95) to detect interstitial fibrosis more than 10 %.

CONCLUSION. 25OHD depression at the initial stages of experimental CKD and hypertension is independently associated with the development of renal fibrosis.
Immunoglobulin A-nephropathy in Russian population: clinical and morphological presentation and long-term prognosis
Authors: Dobronravov V. A. , Muzhetskaya T. O. , Lin D. I. , Kochoyan Z. Sh.
Published: December 2019

AIM. The analysis of incidence, clinical and morphological manifestations, and the prognosis of IgA nephropathy in the Russian population.

PATIENTS AND METHODS. Six hundred cases with primary IgA nephropathy (IgAN) from 1999 to 2019 were enrolled in the single-center retrospective study. Demographic and clinical parameters, morphrology data, and the treatment were analyzed. Three hundred forty seven patients were included in follow-up study. The following outcomes were evaluated: the occurrence of complete (PR) or partial remission (CR), death from all causes, the need for renal replacement therapy (RRT). The composite endpoint (RRT or eGFR decrease ≥ 50 % from the time of biopsy) was used to evaluate the risk of IgAN progression and associated factors.

RESULTS. The period-average incidence of IgAN cases was 20.5 % of all indication biopsies and 31.7 % of primary immune glomerulopathies (with gradual increase to 41,5 % in last 5 years). At the time of the kidney biopsy, the proteinuria was 2.20 (1.10; 4.40) g/24h, eGFR – 69 ± 32 ml / min / 1.73 m2. Proportions of cases with arterial hypertension and with eGFR <60 ml / min / 1.73 m2 were 75 % and 36 %, respectively. The prevalence of histological changes in accordance with the MEST-C classification was as follows: M1 – 40.5 %, E1 -22.9 %, S1-70.2 %, T1-22 %, T2 – 9 %, C1-16.7 %, C2 – 4.4 %. Combined deposits of IgA and IgM (71.1 % of cases) were more frequent compared to IgA and IgG (9,6 %). In the followup period (27 (11; 61) month), 6 deaths from all causes were registered (1.7 %). The 10-year cumulative renal survival was 75 % (by dialysis) and 55 % (by composite endpoint). PR registered in 26 % of cases, CR – 24 %. PR / CR was more frequent in patients who received immunosuppression compared with patients on renin-angiotensin system blockers only (60 % vs. 40 %, p = 0.001). In multivariable Cox regression the independent factors associated with the risk of IgAN progression were: male gender, a younger age, higher blood pressure and hematuria, lower eGFR, interstitial fibrosis/ tubular atrophy (≥50 %), peritubular capillaritis and the presence of any crescents. Compared to the cohorts of other ethnic or geographical affiliation, analyzed IgAN cases were found to have more severe clinical and morphological presentations and faster progression rate.

CONCLUSION. While being the most common glomerulopathy, IgAN in the Russian population has more pronounced clinical and morphological presentations and an unfavorable prognosis.
Evaluation of biomarkers effi ciency in predictive and early diagnostics of acute kidney damage in acute coronary syndrome (pilot study)
Authors: Vorobyev E. A. , Galkina O. V. , Zubina I. M. , Anpilova A. O. , Bogdanova E. O. , Levykina E. N. , Kucher A. G.
Published: December 2019

INTRODUCTION. Acute Kidney Injury (AKI) is a common complication of acute coronary syndromes (ACS), and associated with higher mortality and adverse outcomes. Despite advances in research over the past years, effective treatments for current AKI are not available. Prevention and early intervention remain the most effective strategies for AKI of any entity. THE AIM: This study aimed to explore a risk factors and biomarkers for predictive and early diagnostic of AKI in ACS.

PATIENTS AND METHODS. Study was prospective and cohort, patients hospitalized with ACS in Pavlov First Saint Petersburg State Medical University were included. In case of exclusion of ACS, patients were determined in the comparison group, in case of confirmation of the diagnosis of ACS – in the study group. Biomaterial (blood and urine) was taken at admission (T1), 1 day after admission (T2) and 2 days after admission (T3). For the diagnosis of AKI, KDIGO 2012 criteria were used. The measured biomarkers at each point were NGAL, KIM-1, cystatin C, sST2, troponin I. RESULTS. The study included 73 patients, the diagnosis of ACS was confirmed in 40 patients and AKI development was in 15 patients, all from the ACS group. The most significant for predictive diagnosis was the assessment of the parameters of systemic hemodynamics and the severity of acute heart failure (AHF): heart rate>89 (AUC=0,798, p=0,001), GRACE Risk Score>133 (AUC=0,926, p=0,005). In evaluation the suitability of biomarkers in terms of prognostic diagnosis of AKI, urine NGAL>32 ng/ml (AUC=0,814 p=0,04) and sST2>23.4 ng/ml (AUC=0,718, p=0,02) showed the best results.

CONCLUSIONS. In study of biomarkers efficiency, the use of urine sST2 and NGAL is most promising. Together with hemodynamic parameters, biomarkers have high predictive ability in the diagnosis of AKI in ACS.
AlAT PENGIRIS BAWANG OTOMATIS BERBASIS ARDUINO UNO DAN ANDROID
Authors: Nugraha Rizky , Saputra Haris Tri , Suwarti Suwarti
Published: December 2019

Pada zaman modern ini di mana alat elektronika sangat di butuhkan  oleh manusia untuk mempermudah pada kegiatan sehari-hari. Alat pengiris bawang berbasis mikrokontroler Arduino Uno dan Android dirancang untuk mempermudah kegiatan pada manusia yang pada umum nya pada kalangan ibu-ibu, sehingga tidak perlu lagi mengiris bawang secara manual sehingga banyak menyebabkan luka dan pedih pada mata pada saat melakukan pengirisan maka dari itu dengan adanya alat ini bisa mengurangi kecelakaan pada manusia dan bisa mengiris bawang dengan cepat dan jumlah yang banyak. Dimana alat ini berfungsi untuk meningkatkan proses pemotongan dalam waktu relatif yang singkat sehingga para pengguna tidak merasa rugi pada waktu untuk menyesaikan pekerjaan dapur dan para pengguna bisa mendapatkan hasil yang memuaskan karena bentuk yang pengiris bisa berbentuk sama sesuai dengan yang kita inginkan.

 

Kata Kunci : Pengiris Bawang Otomatis, Arduino Uno, Android
IMPLEMENTASI JAVA NETBEANS DAN DATABASE MySQL DALAM PENGOLAHAN DATA NILAI SISWA SMP NEGERI 24 PADANG
Authors: Willyansah Willyansah
Published: December 2019

Kemajuan teknologi yang semakin pesat sangat mempengaruhi manusia secara tidak langsung. Komputer sebagai salah satu hasil kemajuan teknologi dapat membantu manusia dalam meningkatkan kualitas dan kuantitas kerja karyawan. Kemajuan teknologi saat ini dapat membantu dalam pengolahan data, dimana pada kenyataan ini komputer sangat diperlukan, mengingat data yang dibutuhkan memerlukan format dan laporan yang baik dan tepat. Pada SMP Negeri 24 Padang, pengolahan data siswa  masih dilakukan secara manual, sehingga penyajian informasi membutuhkan waktu yang lama, dan kinerja staff sekolah belum optimal. Sistem ini pengolahan data nilai siswa ini mampu membantu memberikan informasi yang lebih cepat, tepat dan akurat kepada user dan juga mampu mengelola data secara maksimal dan praktis.

 
Kata kunci : Pengolahan Nilai, sistem informasi, Java Netbeans, Raport
PROTOTYPE ROBOT LINE FOLLOWER ARDUINO UNO MENGGUNAKAN 4 SENSOR TCRT5000
Authors: Ridarmin Ridarmin , Fauzansyah Fauzansyah , Elisawati Elisawati , Prasetyo Eko
Published: December 2019

Sensor merupakan indera bagi robot sehingga dapat mengenali berbagai parameter disekitar lingkungan, seperti robot yang dapat bergerak mengikuti garis atau biasa disebut dengan robot line follower. Robot line follower analog terdiri dari rangkaian analog dalam melacak dan membaca sebuah garis. permasalahan yang dijadikan dasar dalam penulisan skripsi ini yaitu pada robot line follower analog hanya terdiri dari rangkaian analog untuk melacak garis serta tidak dapat diprogram, karena robot line follower analog tidak dilengkapi dengan mikrokontroller.  Adapun yang menggunakan mikrokontroler tidak dilengkapi dengan perangkat chip programmer dan bootloader sehingga memunculkan ide peneliti untuk merancang  dan membuat prototype line follower menggunakan Arduino Uno sebagai pengendali robot. Arduino Uno R3 terdapat papan yang sudah terdapat chip programmer dan bootloader. dan pemogramanya menggunakan IDE Arduino melalui komunikasi kabel USB. Prototype line follower ini menggunakan papan Arduino Uno sehingga dapat diprogram sesuai kebutuhan dan dapat dikembangkan secara cepat.

 

Kata Kunci :Arduino Uno, Robot Line Follower,TCRT5000
HALAMAN SAMPUL DAN DAFTAR ISI
Authors: Elisawati Elisawati
Published: December 2019

HALAMAN SAMPUL DAN DAFTAR ISI
PERUBAHAN BENTUK KALIMAT PASIF BAHASA INGGRIS KE DALAM BAHASA INDONESIA PADA NOVEL MORNING, NOON AND NIGHT KARYA SIDNEY SHELDON
Authors: Rizqi Mohammad
Published: December 2019

This paper focused on English passive voice translation into Indonesian. An active voice is a sentence where the subject performs the action stated by the verb, and a passive voice is the subject is acted upon by the verb. The active voice that can be switched into a passive voice is an active voice that has an object. Thus, the sentence is a transitive form. The method used is a qualitative method by using a technique of text content analysis and the text are English novel and its translation in Indonesian novel. This research is an analysis description on the novel that included passive voice translation and structural shift. This paper explained the results of the study of the passive sentences of the source language (English) translated into Indonesian. The results of the study show that not all of the passive sentences of the source language can be translated in the form of passive sentences in target language. Instead, the passive sentences can be translated in the form of active sentences because of the meaning contained.
TINJAUAN PSIKOLOGI SASTRA TERHADAP TOKOH UTAMA NOVEL REMBULAN TENGGELAM DI WAJAHMU KARYA TERE LIYE
Authors: Rahayu Ratih
Published: December 2019

This paper described the main character of the novel Rembulan Tenggelam Di Wajahmu (The Moon Drowning In Your Face/RTDW) Tere Liye works of literature, especially in terms of the psychology of Sigmund Freud's theory of psychoanalysis. The main character in this novel is Ray or Rehan Rejana. Stories in RTDW inner turmoil dominated by the main character. The main character of this novel narrated given the  pportunity to travel about his past in order to answer five questions in his life. At the beginning, Ray's id appears dominant and looks incapable of being offset by his ego and superego. There are times when Ray's id appears and becomes dominant. There are times when Ray can not accept reality and feel God is not being fair to him and likes to snatch the happiness of good people. Behind all forms of protest to God, the main character superego of RTDW is still present especially when looking at the moon. It is said that Ray was given a chance five days before his death to control the dominance of his id so that finally id, ego, and superego him go hand in hand.
INTERPRETASI HERMENEUTIK PUISI PEMBIDAS KARYA AJAMUDDIN TIFANI
Authors: Yulianto Agus
Published: December 2019

This “Pembidas “of Ajamuddin Tifani is a poetry that has lots of positivemeanings. The purpose of this study was to understand the integral meaning of poetry Pembidas by Ajamudddin Tifani by using a hermeneutic approach. The problem of this study describes the meaning of Pembidas by using hermeneutic approach. This study used descriptive qualitative method with data analysis technique in each line of poetry and then proceeded as a whole. Based on the result of the analysis, it can be seen that the meaning of Pembidas is about the disobedient of human against his/ her God. This has actually taken place for a long time since the days of the Madyan, Rass, Thamud, and Sodom. They are the people who make idols and passions as their Lord. However, in modern times like this, their disobedient is slightly transformed. They continue to worship idols, but not as sculptures but in the form of money, possessions, and technology.
BUDAYA JAWA DALAM NOVEL MARS KARYA AISHWORO ANG: TINJAUAN ANTROPOLOGI SASTRA
Authors: Inda Dian Nathalia
Published: December 2019

This research aimed to describe the variety of Javanese culture that contained in novel Mars by using the theory of literary anthropology. The source of data was novel Mars.The purpose of this paper is to describe the Javanese cultures on novel Mars. Data were analyzed using descriptive-qualitative method with literature review technique. The results of the analysis showed the diversity of Javanese culture that exists in the novel of Mars in the form of traditions and customs, arts, traditional buildings, religions, and traditional beliefs. Javanese culture has been eroded, but some are still routinely held every year.
GLOTOKRONOLOGI BAHASA RAMPI DAN BAHASA WOTU GLOTOCRONOLOGY LANGUAGE RAMPI AND WOTU LANGUAGES
Authors: Suparman NFN
Published: December 2019

AbstrakPenelitian ini bertujuan untuk mendeskripsikan kekerabatan dan waktu pisah bahasa Wotu dan bahasa Rampi dengan tinjuan Linguistik Historis Komparatif. Metode yang digunakan adalah metode kuantitatif. Dalam metode kuantitatif ini dicari persentase kognat dari sejumlah (100-200) kosa kata dasar swadesh. Data diambil dengan menggunakan daftar kosa kata dari bahasa Wotu dan Rampi yang mengacu pada daftar kosakata Swadesh. Sumber data yaitu masyarakat penutur bahasa Wotu dan bahasa Rampi yang belum pernah meninggalkan wilayahnya selama sepuluh tahun. Hasil penelitian menunjukkan bahwa terjadi hubungan kekerabatan antara bahasa Wotu dan bahasa Rampi. Terdapat 33 pasangan kata yang berkerabat, yaitu 7 pasangan kata kerabat yang identik dan 26 pasangan kata yang memiliki kemiripan secara fonetis. Hubungan kekerabatan itu termasuk ke dalam rumpun bahasa yaitu sebesar 17%. Waktu pisah yang terjadi antara Bahasa Wotu dengan Bahasa Rampi dari bahasa proto yang sama yaitu antara 655 sebelum Masehi sampai 2186 Masehi (jika dihitung dari tahun 2016) atau antara 1361 hingga -176 tahun.
DIKSI DAN LISENSI PUITIKA ATAS SAJAK “SOLITUDE” DAN “PERAHU KERTAS”
Authors: Mulyani Yeni
Published: December 2019

Penelitian ini bertujuan mendeskripsikan lisensi puitika dan menganalisis diksi dalam sajak “Solitude” karya Sutardji Calzoum Bachri dan sajak “Perahu Kertas” karya Sapardi Djoko Damono. Masalah yang dibahas adalah bagaimana diksi dan  lisensi putika dalam dua sajak tersebut. Teori yang digunakan dalam penganalisisan data adalah teori poros sintagmatik-paradigmatik.. Metode yang digunakan adalah menerapkan cara kerja poros sintagmatik-paradigmatik. Hasil penelitian menggambarkan bahwa lisensi puitika banyak digunakan penyair dalam kaitannya dengan pilihan kata sepanjang lisensi itu untuk mengejar estetika serta makna kata yang berkoherensi dengan tema sajak.  Simpulan penelitian ini adalah lisensi puitika dan diksi dalam sebuah sajak tidak sekadar kebebasan memilih kata, tetapi memiliki makna yang bisa mensugesti dan menuntun pembaca pada acuan tertentu.
PENGARUH STORE ATMOSPHERE, STORE IMAGE, DAN KEPUASAN KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN DI TOKO BUKU GRAMEDIA CABANG GAJAH MADA MEDAN (STUDI KASUS PADA MAHASISWA KEDOKTERAN METHODIST MEDAN)
Authors: Halim Abd. , Syamsuri Abd. Rasyid
Published: December 2019

Penelitian ini bertujuan untuk mengetahui pengaruh  Store Atmosphere, Store Image dan Kepuasan Konsumen Terhadap Keputusan Pembelian di Toko Buku Gramedia Cabang Gajah Mada Medan Pada Mahasiswa Kedokteran Methodist Medan. Jenis penelitian ini adalah penelitian asosiatif. Teknik pengambilan sampel menggunakan metode Sampling Insidental. Jenis data yang digunakan adalah data primer dan data sekunder. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis deskriptif, analisis regresi linear berganda, pengujian hipotesis dengan menggunakan uji signifikan simultan (uji F), pengujian signifikan parsial (uji t), dan pengujian koefisien determinasi (R2). Hasil penelitian ini menunjukkkan bahwa secara bersama-sama berpengaruh positif dan signifikan antara variabel Store Atmosphere, Store Image dan Kepuasan Konsumen terhadap Keputusan Pembelian di Toko Buku Gramedia Cabang Gajah Mada Medan pada Mahasiswa Kedokteran Methodist Medan (uji F). Pada pengujian secara parsial (uji t) diketahui bahwa variabel Store Atmosphere, Store Image, Kepuasan Konsumen berpengaruh secara positif dan signifkan terhadap Keputusan Pembelian di Toko Buku Gramedia Cabang Gajah Mada Medan pada Mahasiswa Kedokteran Methodist Medan. Melalui pengujian koefisien determinasi yang disesuaikan Ajusted R Square diperoleh nilai sebesar 0,35,5 berarti 35,5% faktor-faktor Keputusan Pembelian Konsumen dapat dijelaskan oleh Store Atmosphere, Store Image, Kepuasan Konsumen. Sedangkan sisanya 65,5% dapat dijelaskan oleh faktor-faktor lain yang tidak diteliti dalam penelitian ini. Kata Kunci: Store Atmosphere, Store Image, Kepuasan Konsumen, Keputusan Pembelian.
PENGARUH EDUKASI DAN SOSIALISASI SEKOLAH PASAR MODAL BURSA EFEK INDONESIA TERHADAP MOTIVASI MEMBELI SAHAM DI GALERI INVESTASI UNIVERSITAS LABUHAN BATU
Authors: Prayoga Yudi
Published: December 2019

Penelitian ini bertujuan untuk menguji pengaruh edukasi dan sosialisasi sekolah pasar modal terhadap motivasi membeli  saham pada galeri investasi Universitas Labuhan batu khususnya pada mahasiswa jurusan manajemen Universitas Labuhan batu. Secara umum, orang-orang akan melakukan suatu tindakan apabila ada sesuatu hal yang membuat ia tertarik sehingga secara alamiah orang tersebut akan termotivasi untuk memperolehnya. Penelitian ini dilakukan di Galeri investasi Sekolah Tinggi Ilmu Ekonomi Universitas Labhuan Batu.Penelitian ini dilakukan pada bulan Maret 2019. Pendekatan yang digunakan dalam penelitian adalah penelitian kuantitatif. Tehnik pengambilan data pada penelitian ini adalah dengan menggunakan survei. Instrumen pengumpulan data yang yang digunakan pada penelitian ini adalah dengan menggunakan kuesioner (angket). Dalam hasil analisis yang dilakukan dalam penelitian didapatkan bahwa ada pengaruh yang positif dan signifikan antara edukasi dan sosialisasi sekolah pasar modal bursa efek indonesia terhadap motivasi membeli saham pada  galeri investasi Universitas Labuhanbatu. Pengetahuan atau edukasi mengenai investasi mutlak dibutuhkan bagi seorang calon investor sebelum terjun ke dunia pasar modal atau bisnis. Pengetahuan yang memadai ini akan membentuk kecakapan sesorang dalam menciptakan nilai dan keuntungan dan juga mampu mengelola sebuah resiko yang ada baik kecil maupun besar sehingga mengurangi dampak kerugian yang akan dialamiKeyword : Galeri investasi, Pasar modal, Edukasi, Sosialisasi
KAJIAN APLIKASI BAHAN DENGAN KONDUKTIVITAS LISTRIK TINGGI UNTUK MENINGKATKAN UNJUK KERJA BATERAI ION LITIUM
Authors: Rahardi Susanto Sigit
Published: December 2019

Kajian teknologi bahan baterai ion litium ditujukan untuk mempelajari pengaruh bahan berkonduktivitas listrik yang tinggi, struktur bahan dan konstruksi komposit terhadap peningkatan secara nyata unjuk kerja baterai ion litium. Strategi intrinsik dan ekstrinsik dapat ditempuh untuk mencapai tujuan ini. Perkembangan teknologi secara umum menunjukkan kecenderungan bahwa rekayasa bahan aktif bermorfologi memanjang, penggunaan karbon khusus seperti carbon nanotubes dan graphene, dan nanokomposit  memberikan dampak nyata terhadap unjuk kerja baterai ion litium.Kata kunci : baterai ion litium, konduktivitas listrik
INVESTIGASI FRAKTOGRAFI DAN ANALISA TEGANGAN PADA KERUSAKAN BAUT M64 GRADE 10,9 YANG MENGALAMI PENGENCANGAN BERLEBIH
Authors: Ihlas Apriardi , Puspita Daniel Fajar , Tjahjohartoto Budi
Published: December 2019

Baut dengan dimensi yang relatif besar umum digunakan pada infrastrukur, misalnya di pelabuhan. Telah dilakukan investigasi kerusakan pada baut M64 Grade 10,9 yang mengalami patah antara bagian kepala dan batang. Tujuan penelitian ini adalah untuk mengetahui penyebab kerusakan agar kejadian serupa tidak terulang kembali. Oleh karena itu,  dilakukan serangkaian pengujian, pemeriksaan, dan perhitungan terhadap tegangan yang bekerja. yaitu (1) pemeriksaan visual dan fraktografi, (2) pengujian komposisi kimia, dan (3) perhitungan analisa tegangan. Hasil penelitian memperlihatkan bahwa sebagian besar permukaan patah didominasi oleh indikasi daerah beban berlebih (zona overload) yang menunjukkan patah getas dan terjadi seketika. Hal ini dibuktikan dengan ditemukan beberapa ratchet mark yang merupakan tipikal adanya konsentrasi tegangan. Kondisi ini sangat sensitif terhadap beban tarik pada saat pengencangan. Berdasarkan analisa permukaan patahan termasuk kategori menerima kombinasi beban tarik  dan bending yang terkonsentrasi.  Sedangkan berdasarkan perhitungan analisa tegangan membuktikan bahwa telah terjadi beban torsi berlebih (over-torquing) yang diterima oleh baut.Kata kunci: baut, konsentrasi tegangan, fraktografi, ratchet mark
KARAKTERISASI DAN KINETIKA KALSINASI DOLOMIT
Authors: Wulandari Winny , Subagjo Subagjo , Rio Adnanta , Istiadi Pratama
Published: December 2019

Kalsinasi merupakan salah satu proses untuk meningkatkan nilai tambah dolomit menjadi berbagai jenis produk akhir, seperti bahan baku pembuatan logam magnesium, sebagai fluks untuk pembuatan baja, serta batu bata tahan api. Penelitian ini dimaksudkan untuk menentukan kinetika kalsinasi dolomit Gresik, Jawa Timur. Temperatur reaksi divariasikan 700, 800 dan 900˚C. Kalsinasi dilakukan selama 1, 2, 3, dan 4 jam di dalam sebuah reaktor tubular dengan diameter 3 cm pada tekanan atmosfer. Reaksi kalsinasi dilakukan dalam kondisi gas nitrogen yang dialirkan sebagai gas-elusi dengan laju alir 50 mL/menit. Konversi dolomit mencapai 98 hingga 99% ketika kalsinasi dilakukan pada temperatur 800 dan 900˚C. Model difusi Ginstling-Brounshtein dapat dijadikan model yang paling sesuai untuk menggambarkan reaksi kalsinasi yang dikendalikan oleh perpindahan massa difusi di dalam partikel. Untuk model Ginstling-Brounshtein, energi aktivasi kalsinasi dolomit terhitung sebesar 77,07 kJ/mol.Kata Kunci: dolomit, kalsinasi, kinetika, Ginstling-Brounshtein model, SEM