bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Aluminium Oxide Filler Composition on Thermoplastic Polymer
Authors:   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India, Jayanthan* Akash , Kiran K* Raghavendra Ravi ,   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India, Deepthi Y P ,   Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India.
Published: February 2020

Polymers are being used in many industrial applications. Among them PTFE is very popular as it is a self-lubricating material. In this work it is combined in different percentages of weight with alumina (0,5,10,15,20). Samples were prepared by powder metallurgy technique. Wear tests were performed for various loads of 20,30,40 N with varying percentages of reinforcement and at two speeds of 170rpm and 190 rpm. Shore D hardness was measured for different samples. From the experimentation it was found that less wear volume and friction force was registered at 15% and 20% reinforced composites respectively, whereas high toughness was observed at 15% reinforcement.
An Intelligent Method for Detecting the Rate of Poverty Level with Reference to Tuberculosis
Authors:   Assistant Professor, IT, JIS College of Engineering, currently pursuing PhD degree program in AI and Soft Computing in University of Kalyaniy, India, Das Sumit , Sanyal Dr. Manas Kumar ,   Professor, Business Administration, University of Kalyani is currently working on IT, AI, ML and Soft Computing, India, Mondal Dipansu ,   Programmer, Centre for Information Resource Management, University of Kalyani, India, Datta Debamoy ,   Student, EE, JIS College of Engineering, India,
Published: February 2020

This paper represents the factors, which is important for the prediction of the population living below the poverty level as defined by world health organization through reverse engineering. The objective of this research work is to analyze how the tuberculosis detection rate can help us to predict the people living below the poverty line. The feed-forward artificial neural network and Support vector machines used for comparison. The Authors provide physical reasons behind the startling results that we obtained. This work used data collected by the World Health Organization. The data collected consisted of 202 observations of 358 variables and out of these vast numbers of variables; we selected only six variables of interest to build the model. After removing the not available rows, we get only 75 observations out of which we use only 57 observations to build our model. Although the error was a bit high, still with only these few observations both artificial neural networks and support vector machines yielded similar results, confirming our hypothesis. This paper also compares two well-known algorithms for variable importance and finally provides a solution to the problem of poverty by fuzzy cognitive maps. Various concepts related to the economy have been used to develop this model and results are astounding, based on the results solution to the present-day problems has been proposed.
Emotional Imbalance and Human Ailments
Authors:   Ph.D Scholars VISTAS Chennai -117,Insia., Raghuram G. , Sugumar Dr.S.N. ,   Prof and HOD, Economics Department, VISTAS, Chennai- 117, India.
Published: February 2020

Man is made by cells and their life is made by emotions, which in turn determine their health and wealth. Our emotions and feelings direct our physical activities. What we think inside comes outside. What we see outside came from human mind1. Our thoughts and the emotions are the input and the deeds and the actions are the outcomes. In fact, our emotions and thoughts are our life. As the quality of inputs determine the output. The nature of our emotions and thoughts determine the nature of our life. If the emotions and thoughts are positive then our life will be positive.1 that means we will be happy and healthy. On the other hand, if our thoughts are negative, we will be negative, that is our life will be unhappy and unhealthy. It is believed that, negative emotions such as anger, anxiety, worry, depression and jealous influence our mental and physical health negatively. Therefore the researchers made an attempt in this study to find out the impact of emotions on human health. Thus, the study concludes that the negative emotions such as anger, anxiety, depression, fear and worry and disease are associated. But this may or may not be generalized as it is pertaining to a particular group of people belong to a particular center and a particular area, however it may be a valuable model for a macro study.
How Sustainable Are Corporate Growth Strategies of Development Banks in Developing Countries? Evidence from Nigeria
Authors:   Department of Management, University of Nigeria, Enugu Campus, Enugu State, Nigeria., Namah* Waziri, Elijah , Ann I. Ogbo ,   Department of Management, University of Nigeria, Enugu Campus, Enugu State, Nigeria., Ohunyeye  ,   Olamide Felix, Department of Management, University of Nigeria, Enugu Campus, Enugu State, Nigeria., Gber Gomna Gbenger ,   Department of Management, University of Nigeria, Enugu Campus, Enugu State, Nigeria.
Published: February 2020

Minimal research effort has been expended to the extent to which adopted growth strategies stimulate corporate sustainability of development banks in developing economies such as Nigeria. Hence, the study examined how industry specific growth strategies have predicted the corporate sustainability of these banks. Corporate growth strategy variable was proxied by market expansion, market strategy and human resource strategy as extracted from the Ansoff Matrix and Resource Based Theory, while sustainability was modelled by market share, customer experience and organizational evolution. Descriptive research design was employed in studying primary data obtained through a Likert Scaled structured questionnaire. Holistically, a sample frame of 477 executives from 6 development banks in Nigeria, including the African Development Bank was examined. Upon analysis with Linear Regression, it was found that a significant relationship existed between market expansion and market share; marketing strategy and customer experience; and human resource strategy and organizational evolution of development banks in Nigeria. For Nigeria, the results indicate significant evidence of linkages between corporate growth strategies of development banks and sustainability; thus, confirming the hypotheses of the Ansoff Matrix, the SMCR Model and Resource Based Theory.
Locational Marginal Price Calculation Implying Different System Uncertainties
Authors:   Department of Electrical Engineering, Faculty of Engineering, Ain-Shams University, Cairo, Egypt, Atef* Mostafa , Swief R.A. ,   Department of Electrical Engineering, Faculty of Engineering, Ain-Shams University, Cairo, Egypt., Abdelsalam T.S. ,   Faculty of Energy and Environmental Engineering, The British University in Egypt, Cairo, Egypt. Electrical Power and Machine Dept. Ain Shmas University, Cairo, Egypt
Published: February 2020

This paper presents locational marginal price (LMP) calculation technique facing different operation conditions. Uncertainties in power systems such as loosing transmission line of load change could be consider a common case. In calculating LMP, the effect of line flow limits will affect the prices at each bus. Also, the effect of shifted the load from bus to another is investigated. LMP is a technique used in market to determine the cost of supplying the next incremental electrical energy at a specific bus. Four different case of LMP are discussed in this paper. Three and four simple bus networks are used to demonstrate different cases of LMP.
Weld Joint Performance of Two Dissimilar Metals by GMAW
Authors:   Department of Engineering, Amity University, Dubai, United Arab Emirates., Khalid* Mohammad Nadeem , Yadav* Apurv ,   Amity School of Engineering and Technology, Amity University, Noida, India.
Published: February 2020

In present experiment stainless steel and mild steel were joined together by the process of Gas Metal Arc Welding. To check effects of the process chosen we had set parameters like wire feed rate, welding speed, gas flow rate, distance of nozzle and the inclination of the plate. Taguchi’s robust design was used for the experiment and the parameters used were changed at each stage. After obtaining a satisfactory weld we decided to check the Tensile strength of the material using an ultimate tensile machine (UTM) and to determine which parameters are the best to obtain satisfactory quality of weld.
Development of Hierarchical Clustering Protocols for Wireless Sensor Networks
Authors:   Pursuing Ph.D, Sri Satya Sai University of Technological & Medical Science, Bhopal. India., Amru* Mr. Malothu , Sankar Dr. A. Bhavani ,   Research Guide, Dept. of Electronics & Comm., Sri Satya Sai University of Technology& Medical Sciencies, Bhopal, MP. India)
Published: February 2020

Wireless Sensor Networks (WSN) has turned out to be raising field in research and significant part in the everyday universe of data computing. WSN are initially conveyed in military, overwhelming mechanical applications and, later reached out to the lighter applications, for example, shopper WSN applications. The primary objective of this paper is to diminish energy consumption in wireless sensor networks utilizing energy productive routing protocols (i.e., Modified HEED). To test the presentation of proposed routing protocols through simulations utilizing Network Simulator 2 (NS2.35) and to contrast and existing routing protocols dependent on performance metrics, for example, packet delivery ratio, throughput, energy consumption, overhead and start to finish delay.
An Efficient Fine Grained Keyword Based Search Scheme in Fog Computing
Authors:   Associate Professor, Dept. of CSE, PBR VITS, Kavali, AP, India., Rajeswari* PVN , Janaki Chadalawada Lakshmi ,   M. Tech, Dept. of CSE, PBR VITS, Kavali, AP, India.
Published: February 2020

In fog computing outsources the encoded information to many mist hubs on the border of the internet of things (IOT) to reduce delay and network congestion. However, the existing cipher text recovery plan infrequently focus on the fog computing area and most of them still enforce high computational and capacity burden on asset constrained clients.In this writing paper, we tend to better recommended a lightweight small-grained cipher texts search (LFGS) framework in fog calculation by extending cipher text-policy attribute-based encryption (CP-ABE) and searchable encryption (SE) technologies, which can accomplish small-grained fingerprint plus key-word search concurrently. The LFGS can transfer semi calculation and storage burden from clients to picked fog nodes. Furthermore, the fundamental LFGS framework is enhanced to cope with conjunctive keyword search and attribute revise to keep away from returning unrelated search outcomes and unauthorized accesses.
Modeling Volatility in the Stock Market for Accuracy in Forecasting
Authors:   Research Scholar, Department of PG Studies and Research in Statistics, Mangalore University, MangaloreKarnataka, India,, Saqware* Godfrey Joseph , B Ismail ,   Professor of Statistics, Department of Statistics, YENEPOYA (Deemed to be University), Mangalore, Karnataka, India.
Published: February 2020

In this paper, the best GARCH type model was selected and compared with the machine learning models, such as Extreme Learning Machine (ELM) and Multilayer Perceptron Neural Network (MLP-NN) models in modeling and forecasting monthly return of the financial market data. The objective of the study was to compare the best model in forecasting New York and Shanghai Stock Composite indices, for the period 01.01.1996 to 01.09.2019. The GJR-GARCH model outperformed other GARCH type models based on the Schwarz Bayesian Information Criterion (SSBIC). The Monte Carlo simulation carried at 1000, 2000, 3000, 4000 and 5000 finite sample (window) sizes to test the consistency of the GJR-GARCH model parameters has shown perfect results between true and the simulated coefficients. Finally, the GJR-GARCH model was compared with the MLP-NN and ELM machine learning models. The monthly return forecasting of two years (24 months) was done starting from period 01.09.2019 to 01.09.2021. The study found the MLP-NN model as the best in the modeling and forecasting monthly returns of the two composite stock indices for the two years by considering the Root Mean Square Error (RMSE).The study recommends that further research should focus on the formulation of the hybrid model that combines machine learning and the GJR-GARCH models in forecasting stock market volatility.
Compo-Sable Virtual Memory Conspire For Dynamic Binding & Relocation of Utilizations
Authors:   ECE, Sreenidhi Institute of Science & Technology, Hyderabad, India., Sivasundari* Ms.K. , krishnaveni Ms. B. ,   ECE, Name Kommuri Pratap Reddy Institute of Technology, Hyderabad, India.
Published: February 2020

Frameworks on a Chip simultaneously execute different utilizations that may begin andtstoptattrunttime, making manytusetcases. Compo-convenience decreases the check exertion,tbytmaking tthetpracticaltandtfleeting practicestoftantrelevance freetoftdifferent utilizations. Existing methodologies connect utilizations to static location goes that can't be reused between utilizations that are not all the while dynamic, squandering assets. Intthistpaper wetproposetatcompo-sabletvirtualtmemorytplottthattempowe-rs dynamictofficialtandtmovementtoftutilization. Ourtvirtual memorytistlikewisetunsurprising,tfortutilizations with continuous requirements. We coordinated the virtual memory on, Comp system on a chip, a current compo-sable System on a chip models in FPGA. The execution shows that virtual memory is as a rule ex-contemplative, since it brings about a presentation misfortune around 39% because of location interpretation dormancy. Over this, compos-capacity adds to virtual memory a unimportant additional exhibition punishment, beneath 1%.
Preserving the Architectural Heritage within an Academic Framework
Authors:   Architecture Engineering, Faculty of Engineering, AlBaha University, KSA., Hammad* Mahmoud Tarek.M.
Published: February 2020

The Arab region is one of the areas rich in architectural heritage associated with historical and religious events. It is replete with Roman, Byzantine and Islamic monuments that must be preserved as much as possible by rehabilitating those monuments and investing this heritage which reflects the experience of intellectual creativity of ancient human societies through different civilization ages. This research discusses the methods of conservation and restoration in one of the most important cities in that region, namely the village of Al-Zafeer and located in Saudi Arabia, which is one of the most important landmarks of the architectural heritage in the Kingdom. However, the village suffers from neglect and failed restoration efforts. The local municipality tried to save the village, but the efforts lacked a comprehensive strategy to revive it as a part of its cultural heritage and identity. The present research aims to develop a plan and strategy to preserve the old city in order to improve its visual image and rely on the involvement of restoration experts with local people and municipalities in a scientific academic framework as a means to provide cadres of students and professionals in the rehabilitation work and preservation. . To achieve this goal, the research adopted a clear methodology for the descriptive analytical approach along with field observations and preliminary surveys. The conclusion would clarify a strategy and a proposal to maintain the mechanism followed by advance planning which helps to Revitalize the village with all its components in line with the identity of the local community and meet the requirements of contemporary architecture.
Improved Decoding of Linear Block Codes by Concatenated Decoders
Authors:   TIM Lab, Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco., Alaoui* Moulay Seddiq El Kasmi , Joundan Issam Abderrahman ,   TIM Lab, Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco., Nouh Said ,   TIM Lab, Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco., Marzak Abdelaziz ,   TIM Lab, Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco.
Published: February 2020

The use of decoding algorithms allows us to retrieve information after transmitting it over a noisy communication channel. Soft decision decoding is powerful in concatenation schemes that use two or more levels of decoding. In our case, we make a concatenation between the Hartmann & Rudolph (HR) algorithm as symbol-by-symbol decoder and the chase-2 algorithm that is word-to-word decoding algorithm. In this paper, we propose to combine two decoding algorithms for constructing a new one with more efficiency and less complexity. This work consists firstly to use the HR with a reduced number of codewords of the dual code then the Chase-2 algorithm which exploits the output of PHR. The simulations results and the comparisons made show that the proposed decoding scheme guarantees very good performance with reduced temporal complexity.
Extension of Bat Algorithm on Standard Benchmark Functions
Authors:   National Institute of Technology, Kurukshetra, Haryana, India, Anjali  , Garg* Deepak ,   National Institute of Technology, Kurukshetra, Haryana, India, Singh Richa ,   National Institute of Technology, Kurukshetra, Haryana, India
Published: February 2020

Meta heuristics are superior methods of finding, producing and even modifying heuristics that are able to solve various optimization problems. All Meta-heuristic algorithms are influenced by the nature. These types of algorithms tend to mimic the behaviour of biotic components in nature and are emerging as an effective way of solving global optimization algorithms. We have reviewed that no any algorithm is best for all applications due to lack of generality (no. of parameters), non-dynamic input values. So, this paper studied BAT algorithm deeply and found weakness in terms of non-dynamic pulse rate and loudness. In order to avoid being trapped into local optima these inputs are made dynamic with inclusion of levy Flight too. Performance of this proposed Modified BAT approach is evaluated using few standard benchmark functions. For justifying the superiority of Modified BAT, its performance has been compared with standard Bat algorithm too. From simulation it is found that dynamic pulse rate and dynamic loudness improve the performance of Bat algorithm in terms of results without being stuck at local optima and is more general.
Robust Optimization for Handling Time Uncertainty in Capacitated Vehicle Routing Problem for Post-Disaster Aid Logistical Distribution
Authors:   Department of Mathematics, Universitas Padjadjaran, Sumedang, Indonesia., Achmad* Luqmanul Hakim , Chaerani Diah ,   Department of Mathematics, Universitas Padjadjaran, Sumedang, Indonesia., Lesmana Eman ,   Department of Mathematics, Universitas Padjadjaran, Sumedang, Indonesia.
Published: February 2020

In post-disaster aid logistical distribution, time is the most important thing to minimize the number of victim. But, time travelling become uncertain as the impact of disaster occurrence. In this paper, Robust Capacitated Vehicle Routing Problem (RCVRP) for post-disaster aid logistical distribution under time uncertainty is discussed to handle the uncertain travelling time. The robust optimal solution derivation is presented using Robust Optimization. The time uncertainty is assumed to be lied in a box and a polyhedral uncertainty set. This assumption yields a Robust Counterpart (RC) of the RCVRP model which are computationally tractable. Case study and simulation presented in this paper and shows a robust optimal solution.
A Pattern Recognition Model of Python Programming using Artificial Neural Network via NeMo
Authors:   Associate Professor, Department of Computer Science and Engineering, G.Pullaiah College of Engineering and Technology (Autonomous)., Janardhan* M. , Srilakshmi M. ,   Assistant Professor, Department of Computer Science and Engineering, G.Pullaiah College of Engineering and Technology (Autonomous)., Kumar Dr.S Prem ,   Professor & Dean, Department of Computer Science and Engineering, G.Pullaiah College of Engineering and Technology (Autonomous).
Published: February 2020

Background/Objectives: In the field of software development, the diversity of programming languages increases dramatically with the increase in their complexity. This leads both programmers and researchers to develop and investigate automated tools to distinguish these programming languages. Different efforts were conducted to achieve this task using keywords of source codes of these programming languages. Therefore, instead of using keywords classification for recognition, this work is conducted to investigate the ability to detect the pattern of a programming language characteristic by using NeMo(High-performance spiking neural network simulator) of neural network and testing the ability of this toolkit to provide detailed analyzable results. Methods/Statistical analysis: the method of achieving these objectives is by using a back propagation neural network via NeMo based on pattern recognition methodology. Findings: The results show that the NeMo neural network of pattern recognition can identify and recognize the pattern of python programming language with high accuracy. It also shows the ability of the NeMo toolkit to represent the analyzable results through a percentage of certainty. Improvements/Applications: it can be noticed from the results the ability of NeMo simulator to provide beneficial platform for studying and analyzing the complexity of the backpropagation neural network model.
Pengaruh Daun Sirih Hijau sebagai Pakan Tambahan Terhadap Pertumbuhan dan Kualitas Daging Itik Alabio
Authors: Yusuf Roosena , Sudirman Sudirman , Maulana Bagus Arif , Harnita Harnita
Published: February 2020

Penelitian ini bertujuan untuk mengetahui pengaruh penambahan tepung daun sirih hijau dalam pakan sebagai bahan tambahan pakan dan antioksidan dalam ransum yang mempengaruhi kinerja dan kualitas karkas itik broiler. Bahan penelitian yang digunakan adalah itik jantan Alabio sebanyak 100 ekor berumur 1 hari (DOD). Penelitian dilakukan secara eksperimental dengan menggunakan Rancangan Acak Lengkap, 5 perlakuan (penambahan tepung daun sirih hijau, TDSH) dan 5 ulangan. Pada setiap ulangan digunakan 4 itik. Perlakuan meliputi pemberian pakan sebagai kontrol dan pakan dengan tambahan TDSH sebanyak 10, 20, 30 dan 40 g.kg-1 pakan. Variabel yang diamati adalah jumlah konsumsi pakan, pertambahan berat badan, rasio konversi pakan, karkas, persentase lemak abdominal dan pH daging. Hasil penelitian menunjukkan bahwa penambahan TDSH sebagai pakan tambahan hingga level 40 g.kg-1 pakan berpengaruh nyata terhadap pertambahan bobot badan itik Alabio, tetapi tidak nyata terhadap persentase lemak abdominal pada umur lima minggu. Penambahan TDSH pada ransum sebanyak 10 g.kg-1 pakan memberikan pertambahan bobot badan yang terbaik.
Pengaruh formulasi tepung terigu dan daun singkong bubuk terhadap sifat sensoris nugget vegetarian jamur merang (Volvariella volvacea)
Authors: Dianovita Chardina , Gardiarini Praseptia
Published: February 2020

Nugget merupakan alternatif makanan cepat saji yang praktis karena hanya membutuhkan sedikit waktu (1–3 menit), nugget sudah dimasak setengah matang pada pengolahan awal. Jamur merang merupakan bahan yang sering digunakan dalam membuat nugget vegetarian. Beberapa perlakuan untuk meningkatkan penerimaan sensoris (warna, rasa, aroma, dan tekstur) nugget vegetarian telah dilakukan. Penelitian ini bertujuan untuk mengetahui penambahan daun singkong bubuk terhadap sifat sensoris nugget jamur merang. Penelitian ini adalah penelitian faktor tunggal (formulasi tepung terigu (TT) dan daun singkong bubuk (DSB)) yang disusun dalam Rancangan Acak Lengkap. Formulas TT:DSB dalam persen adalah 25:75, 50:50, dan 75:25. Setiap perlakuan diulang sebanyak tiga kali. Data yang diperoleh dianalisis dengan uji Friedman dilanjutkan dengan uji BNJ. Hasil penelitian menunjukkan bahwa formulasi tepungterigu dan daun singkong bubuk memberi pengaruh nyata terhadap sifat sensorishedonik untuk atribut rasa (p=0,028), namun tidak memberikan pengaruh nyata terhadap atribut warna (p=0,291), aroma (p=0,154), dan tekstur (p=0,902). Formulasi TT:DSB memberikan pengaruh nyata terhadap semua atribut sensoris mutu hedonik nugget vegetarian jamur merang, yaitu warna (p = 0,014), rasa (p = 0,003), aroma (p = 0,001), dan tekstur (p = 0,000).
Population structure and environmental degradation
Authors: Okon Emmanuel Okokondem
Published: February 2020

The primary objective of this paper is to test the hypothesis that the population age structure could contribute to carbon dioxide emission levels (environmental degradation) in Nigeria. Real income (Gross Domestic Product) was used as another determinant of CO2 emissions to test the EKC hypothesis in this study. Also, the autoregressive distributed lag (ARDL) econometric technique was applied in this paper to annual time series data from 1970 to 2018. The results show that age structure’s influence on the environment is significant. As expected, young adults (LOGYONG, i.e., ages 15-64) and children (LOGCHIL, i.e., ages 0-14) are environmentally intensive (due to energy-intensive goods consumed). But the older age group (LOGOLD i.e., ages 65 and above) exert a negative effect. The results of long-term estimation for the population structure-induced EKC hypothesis show that none of the coefficients of economic growth were statistically significant at any of the conventional levels. In other words, this finding did not prove the existence of EKC hypothesis. However, appropriate macroeconomic policies, technological innovations, and institutional developments are very important in maintaining a sound environment in Nigeria.
Energy consumption and economic growth in Nigeria
Authors: Nkoro Emeka , Ikue-John Nenubari Nenubari , I. Joshua God’sgrace
Published: February 2020

This paper investigated this disparity in the literature using Nigeria data from 1980 to 2016. In doing this, energy consumption was disaggregated, and their impacts on economic growth investigated using a modified Ordinary Least Square technique which allows for time gaps in the model. It was observed that only renewable energy impacted on economic growth in the long-run whereas non-renewable energy component impacted on economic growth in the short-run. Therefore, the study sees the impact of energy consumption on economic growth to be indistinct in Nigeria within the period under review. This further buttresses the need for improvement in electricity production and distribution in Nigeria. Given the importance of energy consumption on productivity, the study, therefore, suggests policies/measures that will bring about increasing the supply or improvement of energy production in the country.
PENGARUH KUALITAS PELAYANAN PAJAK TERHADAP KEPUASAN WAJIB PAJAK DI KPP PRATAMA BALIKPAPAN TIMUR TAHUN 2019
Authors: Saida Kristina , Yuliani Tutik , Deden Deden
Published: February 2020

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh secara parsial dan simultan antara kualitas pelayanan pajak terhadap kepuasan wajib pajak di KPP Pratama Balikpapan Timur. Penelitian ini menggunakan sampel sebanyak 52 wajib pajak sebagai responden. Jenis penelitian yang digunakan adalah penelitian kuantitatif, sedangkan metode yang digunakan Sampling Insidental. Teknik pengumpulan data pada penelitian ini yakni angket atau kuesioner, observasi, dokumentasi, dan wawancara. Dengan teknik pengolahan data pada penelitian ini menggunakan uji prasyarat dan uji hipotesis, serta menganalisis data dengan uji regresi linier berganda dengan berbantuan software SPSS 25 for windows. Hasil penelitian menunjukkan bahwa persamaan regresi linier berganda pada penelitian ini diketahui bahwa Y = -148.626 + 0.407X1 + 0.181X2 + 0.255X3 + 0.311X4 + 0.282X5. Bukti langsung (X1), Daya tanggap (X2), Keandalan (X3), Jaminan (X4), Empati (X5) berpengaruh secara parsial terhadap kepuasan wajib pajak (Y). Dan variabel bukti langsung (X1), daya tanggap (X2), keandalan (X3), jaminan (X4), dan empati (X5) berpengaruh secara simultan terhadap kepuasan wajib pajak (Y) di KPP Pratama Balikpapan Timur
IMPLEMENTASI PEMBELAJARAN BERBASIS SISTEM KREDIT SEMESTER (SKS) DI SMA NEGERI 2 BALIKPAPAN TAHUN AJARAN 2018/2019
Authors: Hardiana Trianingtyas Novri , Casmudi Casmudi , Indriawati Prita
Published: February 2020

Tujuan penelitian ini untuk mendeskripsikan implemantasi pembelajaran berbasis sistem kredit semester di SMA Negeri 2 Balikpapan.  Jenis penelitian dengan pendekatan kualitatif.  Sumber data berupa data primer dan sekunder. Teknik pengumpulan data dengan observasi, wawancara, dan dokumentasi. Teknik analisis data dengan menggunakan teknik analisis data model interaktif  (Miles dan Huberman). Pengecekan keabsahan data dengan menggunakan teknik triangulasi. Hasil penelitian ini menyimpulkan bahwa: 1) SMA negeri 2 Balikpapan menerapkan 7 prinsip penyelenggaran Sistem Kredit Semester,           2) Mekanisme penyelenggaraan Sistem Kredit Semester terdapat 3 tahapan yakni tahapan persiapan, tahapan pelaksanaan dan terhapan evaluasi serta monitoring.               3) SMA Negeri 2 Balikpapan telah melaksanakan persiapan pelaksanaan SKS secara baik dan matang, dan pada dasarnya pengimplementasian SKS sudah terlaksana dengan baik, namun belum terlaksana secara maksimal disebabkan terdapat berbagai kendala pengimplementasian dalam proses pembelajaran,                     4) Upaya atau solusi yang dapat di ambil sekolah untuk mengatasi kendala yang terjadi dengan memberikan pelatihan mengenai IT pada guru yang kurang dan In house traning mengenai penerapan Sistem Kredit Semester.
An effective approach for botulinum toxin injection in patients with stroke for focal spasticity: dual guidance
Authors: Ata Emre , Kosem Murat
Published: February 2020

Objective: This study has aimed to compare the efficacy of botulinum toxin (BTX) injections, applied to the upper limb muscles of the stroke patients in our clinic who have being diagnosed with focal spasticity, that are performed via ultrasonography and ultrasonography + electrical muscle (EM) stimulator guidance. Literature didn’t include detailed crosscheck of ultrasound guided BTX and EM treatment applications for upper limb focal spasticity patients

Materials and Methods: Electronic data on 62 hemiplegic stroke patients with grade 2 and 3 focal spasticity who had received botulinum toxin injections into their upper limb muscles by the same physician, who used similar protocol and recorded the results, were scanned retrospectively. The spasticity of the patients in both groups was assessed with the Modified Ashworth Scale at the end of two weeks and three months.

Results: A statistically significant difference was found between the Modified Ashworth Scale values of both groups in terms of all muscles, compared to the values seen in the pre-treatment period (p<0.05). The Modified Ashworth Scale values at 3 months posttreatment in ultrasonography + electrical muscle stimulator group were not statistically different from those at 2 weeks posttreatment, with respect to wrist flexion and finger flexion. In intergroup comparison, there was no statistically significant difference between the Modified Ashworth Scale values of at pretreatment and 2 weeks posttreatment. However, statistically significant difference in all muscle groups was found in favor of the ultrasonography + electrical muscle stimulator group at 3 months posttreatment controls (p<0.05).

Conclusion: Upper limb spasticity due to stroke can be substantially recovered with botulinum toxin injections that are applied via only ultrasonography guidance or via ultrasonography + electrical muscle stimulator guidance.. According to data from the assessment at 3 months posttreatment, the botulinum toxin injection performed via ultrasonography + electrical muscle stimulator guidance had more positive effects .
SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN HASIL BUDIDAYA UDANG VANAME DENGAN METODE ALGORITMA C4.5 (PT ANUGERAH SUMBER LAUT JAYA)
Authors: Iqbal Muchamad , Usino Wendi , Triono Triono
Published: February 2020

Abstrak - Kondisi geografis Indonesia dengan dua per tiganya perairan dapat memberikan keuntungan tersendiri bagi masyarakat Indonesia yang berprofesi sebagai nelayan. Salah satu komoditas budidaya air laut yang memiliki nilai ekonomi dan permintaan ekspor yang tinggi salah satunya adalah udang vaname (Liopenaeus Vannamei), yang sering disebut sebagai udang putih. Salah satu metode klasifikasi adalah algoritma C4.5, metode algoritma C4.5 dalam pemilihan atribut dapat dilakukan dengan cara menggunakan Gain dengan tujuan mencari nilai Entropy. Algoritma C4.5 dapat membagi-bagi data berdasarkan kriteria yang dipilih agar terbentuk sebuah pohon keputusan (Decision Tree) yang menggunakan pendekatan secara top down. Dari data-data yang diperoleh maka bisa dihitung dari hasil perhitungan pada luas tambak, bibit, pakan, dan pupuk akan didapatkan hasil optimasinya. Hasil dari program yang dibuat berdasarkan data-data kualitas air yang dianalisa dengan teknik data mining dapat dimanfaatkan untuk mendapatkan informasi yang berguna untuk pihak perusahaan dan dari pemodelan pohon keputusan dengan metode Algoritma C4.5 didapatkan hasil accuracy sebesar 76,47%, precision sebesar 72,72% dan recall sebesar 88,88%. Dari hasil  pengujian tersebut diketahui bahwa klasifikasi termasuk dalam kategori Fair Classification.

Abstract - Indonesia's geographical condition, with two-by-one of its waters, can provide its own benefits for Indonesians who are fishermen. One of the sea water cultivation commodities which has economic value and high export demand one of them is shrimp Vaname (Liopenaeus Vannamei), which is often referred to as white shrimp. One method of classification is algorithm C 4.5, algorithm method C 4.5 in attribute selection can be done by using Gain with the purpose of finding the value of Entropy. The C 4.5 algorithm can divide data based on criteria chosen to form a decision Tree using a top down approach. From the data obtained, it can be calculated from the results of calculations on the area of pond, seedlings, feed, and fertilizer will be obtained the results of its optimization. The results of the programs created based on water quality data analyzed by data mining techniques can be utilized to obtain useful information for the company and from the modeling of decision tree with algorithm method C 4.5 Obtained the accuracy of 76.47%, precision at 72.72% and recall by 88.88%. From the test results it is known that the classification belongs to the Fair Classification category.
IMPLEMENTASI METODE K-MEANS DALAM PENGKLASTERAN DAERAH PUNGUTAN LIAR DI KABUPATEN SUKABUMI (STUDI KASUS : DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL)
Authors: Sembiring Falentino , Octaviana Octaviana , Saepudin Sudin
Published: February 2020

Abstrak - Pungutan liar (pungli) merupakan tindakan kejahatan yang dilakukan oleh pihak yang tidak bertanggung jawab atau seseorang atau pegawai negeri atau pejabat negara dengan cara meminta pembayaran uang yang tidak termasuk kedalam aturan administrasi yang dibutuhkan. Metode K-Means dapat membantu mengklasifikasikan daerah pungutan liar di kabupaten Sukabumi pada dinas kependudukan dan pencatatan sipil. Variabel yang digunakan dalam penelitian ini E-KTP, AKTA dan Kartu Keluarga Setiap variabel memiliki nilai bobot yang berbeda. Data yang akan digunakan dalam penelitian ini adalah data laporan pada bulan Januari 2019 berbentuk SQL. Penelitian ini hanya akan membahas tentang berapa banyak kejadian pungli yang terjadi di setiap kecamatan yang ada di kabupaten Sukabumi tentang kependudukan dan pencatatan sipil. Adapun tujuan dari penelitian ini adalah untuk menentukan cluster tingkat pungutan liar tinggi, sedang dan rendah. Hasil dari penelitian ini memperoleh data indeks kecamatan dengan tingkat jumlah laporan masyarakat daerah terhadap pungutan liar, data dengan klasifikasi tingkat tinggi yaitu Cireunghas, Gegerbitung, Kalapa Nunggal, Kalibunder, Purabaya, Simpenan, Parung Kuda, Sukaraja, Nagrak, Nyalindung, Pelabuhanratu, Surade, Warungkiara. Data tingkat pungutan liar sedang terdapat pada 19 kecamatan dan 15 tingkat pungutan liar rendah. Hal ini dapat menjadi masukan kepada dinas kependudukan dan pencatatan sipil, kecamatan yang menjadi tindakan pungutan liar paling tinggi diprioritas untuk melakukan penyuluhan kepada kecamatan tersebut.

Abstract - Illegal Levies is a criminal offensse done by someone or civil servant and the government by demanding a specific amount of money outside the right protocols or policy that does not related with the official administration fees. K-Means method will be able to help for classifying the illegal levies area in sukabumi district at The Department of Population and Civil Registration. Variables that used in this research are electronic ID card, birth certificate and family card. Meanwhile, data that will be used in this research are report data on January 2016. The purpose of this research is to determine the rate of illegal levies. The result that have been collected based on the high extortion rate from each sub-districts are Cireunghas, Gegerbitung, Kalapa Nunggal, Kalibunder, Purabaya, Simpenan, Parung Kuda, Sukaraja, Nagrak, Nyalindung, Pelabuhanratu, Surade, Warungkiara, 19 sub-districts with medium rate of illegal levies and 15 sub-district with low rate of illegal levies. This can become a recommendation for The Department of Population and Civil Registration, sub-districts with the highest rate of illegal levies will be prioritized in counseling for the certrain sub-districts.
STRATEGI PERENCANAAN DAN PENGEMBANGAN PROGRAM STUDI MENGGUNAKAN ANALISIS SWOT (STUDI KASUS PROGRAM STUDI SISTEM INFORMASI ARS UNIVERSITY)
Authors: Ary Maxsi , Sanjaya Rangga
Published: February 2020

Abstrak – Dalam upaya melakukan perbaikan secara berkelanjutan serta membangun budaya mutu di perguruan tinggi, khususnya dalam penyelenggaraan dan pengembangan program studi, setiap perguruan tinggi perlu untuk menyusun strategi perencanaan dan pengembangan program studi. Strategi perencanaan dan pengembangan program studi merupakan salah satu unsur penting dalam penilaian akreditasi program studi untuk menentukan kelayakan program studi yang sesuai dengan Standar Nasional Pendidikan Tinggi. Metode yang digunakan dalam penelitian ini yaitu analisis situasi dengan menggunakan analisis SWOT berdasarkan pada indikator kinerja Unit Pengelola Program Studi (UPPS) dan program studi. Analisis data disajikan dalam matriks Evaluasi Faktor Internal (IFE) dan Evaluasi Faktor Eksternal (EFE). Tujuan dari penelitian ini adalah untuk mengukur posisi keberadaan program studi pada matriks Internal Eksternal (IE), sehingga dapat dijadikan landasan dalam merumuskan strategi pengembangan program studi. Hasil pengukuran matriks IE menunjukkan bahwa program studi sistem informasi ARS University berada pada posisi growth (sel I), dengan hasil IFE sebesar 3.2 dan matriks EFE sebesar 3.045. Strategi perencanaan dan pengembangan program studi sistem informasi ARS University berdasarkan hasil analisis berfokus pada 4 (empat) aktivitas yaitu pengembangan program studi, penetrasi program studi, integrasi, dan pengembangan produk.

 

Abstract - In an effort to make continuous improvements and build a quality culture in institutions of higher education, particularly in organizing and developing study programs, each institution of higher education needs to develop a planning and development study program strategy. The strategy of planning and developing study programs is one of the important elements in assessing the accreditation of study programs to determine the feasibility of study programs in accordance with the National Standards of Higher Education. The method used in this research is situation analysis using SWOT analysis based on the performance indicators of the Study Program Management Unit (UPPS) and study program. Data analysis is presented in the Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) matrices. The purpose of this study is to measure the position of the study program's existence on the Internal External Matrix (IE), so that it can be used as a basis in formulating study program development strategies. IE matrix measurement results show that ARS University's information system study program is in a growth position (cell I), with an IFE result of 3.2 and an EFE matrix of 3,045. The strategy of planning and developing ARS University's information system study program based on the results of the analysis focuses on 4 (four) activities, namely the development of study programs, study program penetration, integration, and product development.
PENGARUH KEPEMIMPINAN DAN KOMPETENSI TERHADAP KINERJA GURU DI SMA SWASTA BHAYANGKARI 2 RANTAUPRAPAT
Authors: Zebua Yuniman
Published: February 2020

Kepemimpinan adalah sebuah kemampuan atau kekuatan dalam diri seseorang untuk mempengaruhi orang lain dalam hal bekerja, dimana tujuannya adalah untuk mencapai target (goal) organisasi yang telah ditentukan sedangkan Kompetensi adalah suatu kemampuan atau kecakapan yang dimiliki oleh seseorang dalam melaksanakan suatu pekerjaan atau tugas di bidang tertentu, sesuai dengan jabatan yang disandangnya. Kepemimpinan dan Kompetensi mempengaruhi Kinerja Guru di SMA Swasta Bhayangkari 2 Rantauprapat.Metode pengambilan sampel mengunakan sampling jenuh sebanyak 40 orang guru di SMA Swasta Bhayangkari 2 Rantauprapat. Pengujian hipotesis mengunakan regresi linier berganda, dengan Uji Parsial ( Uji T dan secara Uji Simultan (Uji F) untuk mengetahui pengaruh variabel independen terhadap variabel dependen pada tingkat kepercayaan 95% atau α = 0.05.Hasil analisis menunjukkan bahwa pengaruh antara kepemimpinan dan kompetensi terhadap kinerja guru di SMA Swasta Bhayangkari 2 Rantauprapat dengan hasil regresi Y = 3,237 + 0,175 X1 + 0,187 X2, yang berarti bahwa tanpa adanya kepemimpinan dan kompetensi, maka kinerja guru di SMA Swasta Bhayangkari 2 Rantauprapat tidak berubah dengan nilai 3,237. Sedangkan nilai R² = 81,60% dan sisanya dipengaruhi variabel lainnya yang tidak diikutkan dalam penelitian ini.
Congestion Management in Deregulated Electricity Market with Generator Sensitivity Effects
Authors: Ali Ghasemi
Published: February 2020

This paper proposes a novel modified virus colony search (MVCS) algorithm to solve congestion management (CM) problem in the deregulated electricity market considering generator sensitivity and rescheduling of active powers. Thus, the generator output has been recognized by generator sensitivity index to manage transmission line limitation so as to get maximum efficiency in power transmission. The CM model is formulated based on a single objective function to minimize final cost by optimal planning of active powers responding to generators. To develop the exploration and exploitation of VCS, proposes some modifications into local and global parts which they make the best stability in VCS structure. To reveal the MVCS performance, it is assessed on three well-known power systems, IEEE 30-bus and IEEE 118-bus, which the numerical results show acceptable performance compare to other available methods.
Multi-objective Optimization of Welding Parameters of Pulsed Current Micro Plasma Arc Welded AISI 904L Super Austenitic Steel
Authors: Kondapalli Siva Prasad  , M Sailaja , K Ramji
Published: February 2020

In the present work, AISI 904L super austentic steel sheets of 0.4mm thick is butt welded using Micro Plasma Arc Welding. Welding input parameters like peak current, base current, pulse rate and pulse width are considered and output responses like fusion zone grain size, hardness and ultimate tensile strength of the welded joint are considered. 31 experiments are performed as per Central Composite Design (CCD) design matrix of Response Surface Method (RSM) by considering four factors and five levels of weld input parameters. Grey Relational Analysis (GRA) is carried out by minimizing fusion zone grain size and maximizing fusion zone hardness and ultimate tensile strength to find the optimal combination of weld input parameters.  The order of importance of weld input parameters are also identified and improvement in Grey Relational Grade was found.
Blast Resistant Structure Using Steel Hollow Sections
Authors: Saha Chaudhuri Arup 
Published: February 2020

The number of terrorist attacks increased in the last few years, so the effect of blast loads on structures become an important matter which should be taken into consideration in the design and planning process. Terrorist attacks are exceptional cases and man-made disasters, so blast loads are calculated carefully just like earthquake and wind loads. The objective of this research is to determine the quality of blast load simulation for non-linear dynamic response analysis of trussed structure subjected to blast loads. Blast resistant structure design theories, the enhancement of building security against the effects of explosives in both architectural and structural design process are discussed in this paper. Steel hollow sections are used as structural members those can undergo large nonlinear deformations to absorb blast energy. Essential techniques for increasing the capacity of a structure to provide protection against blast effects are discussed in this paper both with an architectural and structural approach.
Preparation and Photo-catalytic Activity of Cu-Supported Nano-TiO2
Authors: Yan Jun
Published: February 2020

Cu-supported nano-TiO2 catalyst was prepared by forced hydrolysis method under mild condition. The morphology, composition and optical absorption properties of the samples were characterized by means of scanning electron microscope (SEM), X-ray photoelectron spectroscopy (XPS) and UV-Vis diffuse reflectance spectroscopy (UV-VIS DRS). Visible photocatalytic activity of the samples was investigated by photocatalytic degradation experiment on methyl orange. The results indicated that nano-TiO2 was about 20nm in size with the main form of anatase, and photo response range was significantly broadened after it was loaded on the surface of Cu. The sample possessed high visible light catalytic activity, with the degradation rate of methyl orange reaching 94% under simulated natural light.
Superhydrophobic Self-cleaning Surfaces in Nature
Authors: Mohammed S. Selim
Published: February 2020

A global interest was awarded to study the natural superhydrophobic surfaces since the description of the Lotus Effect by Barthlott and Neinhuis in 1997. Natural biomimetic surface merits of micro/nano-roughness, water contact ˃ 150°, sliding angles ˂10°, and minimized free-energy characteristics would motivate the dynamic fabrication of superhydrophobic surfaces. This critical review introduces an architectural panorama of numerous structural designs of natural superhydrophobic surfaces. Also, it discussed the fundamentals of self-cleaning and wetting theories to develop superhydrophobic structures. This progress review concentrates on superhydrophobic materials' applications for self-cleaning marine antifouling surfaces. It introduced an in-depth understanding of the structural design-superhydrophobic property relationship of the natural nano-wettable surfaces. It is technically first to shed light on the inner basics and platform for surface non-wettability and facilitates the way for design biomimetic self-cleaning antifouling surfaces.