Showing papers in "International Journal of Scientific & Technology Research in 2020"

Design And Development E-Learning System By Learning Management System (LMS) In Vocational Education

Abstract: The unpreparedness of educators and students in the learning process becomes weakness in traditional learning. Moreover, teac hing material that has been delivered cannot be repeated while the small notes and educator explanations have limitations in knowledge transfer. This method is ineffective and also have limited learning space and time that cannot be accessed anytime and anywhere. In the current development, students have tendency and dependence on digital content or ICT. The condition is of positive value for online or virtual learning activities, teaching materials can be accessed, stored and shared through the internet. The research and development objective are to produce an LMS-based E-Learning system that is tested on Microteaching in the Mechanical Engineering Education class. The research method adopts the Hannafin and Peck approach model with specific phases (needs analysis, design, development and implementation). The developed LMS is then validated by media experts and material experts according to their capabilities. The research subjects were 15 undergraduate students aged ± 22-25 years old (adults). Data collection techniques are using questionnaires and direct observation. The results of LMS-based E-Learning development research is \"very feasible\" to be used. The assessment is based on the LMS usability, LMS functions, visual communication, learning design, material contents, as well as language and communication. The findings in this study are that using LMS increases satisfaction and quality of learning.

The Effect Of COVID-19 On Consumer Behaviour In Saudi Arabia: Switching From Brick And Mortar Stores To E-Commerce

Abstract: Individuals‘ adoption has been reckoned as an important indicator of the success of new technology. Hence, it is crucial to identify the reasons why individuals choose to use or not to use a particular technology. Understanding one‘s behaviour towards accepting or rejecting technologies has been proven as one of the most challenging issues within the information systems (IS) domain, not to mention during exceptional circumstances, such as during pandemic times. As such, this study empirically assessed the factors that affect consumers‘ intention to adopt e-commerce during Coronavirus Disease 2019 (COVID-19) in Saudi Arabia. The 10 factors examined in this study are perceived usefulness (PU), perceived ease of use (PEOU), subjective norms (SN), perceived behavioural control (PBC), perceived lack of alternatives, perceived risk, perceived punishable infractions, risk-taking propensity, perceived external pressure, and government support. Data were collected online among social media users by employing the snowball sampling technique. A total of 190 valid responses were obtained. The data analysis showed that PU, risk taking propensity, PBC, perceived lack of alternatives, and government support significantly influenced consumers‘ intention to adopt e-commerce during the COVID-19 outbreak in Saudi Arabia. Meanwhile, PEOU, SN, perceived external pressure, perceived risk, and perceived punishable infractions exerted insignificant effect on consumers‘ intention to adopt e-commerce.

A Review On Sentiment Analysis Methodologies, Practices And Applications

Abstract: The Sentiment Analysis is sometimes a technique to look at the information that is the form of text and determine opinions content from the text. It is also termed as emotion or feeling mining. On-line communication channels like Twitter, Facebook, YouTube, and so forth are these days a lot of passion into human life. People share their thoughts or feelings thereon. During this review paper, we tend to match on opinion mining or feeling assessment which is an area of web data mining and Machine Learning. This paper shows aftereffect of examination by utilizing different ML and Lexicon investigation methodologies. Outcomes are analyzed to play out an evaluation study and check the estimation of the present composition. In this manner, it will help the future investigators with understanding present beginnings in the configuration of possibility examination.

The Challenge Of Elementary School Teachers To Encounter Superior Generation In The 4.0 Industrial Revolution: Study Literature

Abstract: The challenges of the elementary school education world in the 4.0 industrial revolution era require the elementary school to keep abreast of the rapid technology development and utilize information and communication technology as advanced technology to facilitate the learning process. In addition, the use of technology in the 4.0 industrial revolution era is expected to prepare a superior generation that can be competing in the world, mastering in technology and having good literacy. Furthermore, the role of elementary schools in preparing superior generations in the 4.0 industrial revolution era using the information and communication technology learning mindsets can shift from teacher-centered to student-centered. In this paper will discuss the Development of Indonesian Education in the Revolutionary Era Industry 4.0, how to Answer the Challenges of Elementary School Teachers in Preparing a Superior Generation in the Era of the 4.0 Industrial Revolution era, Concepts of Learning in Elementary Schools to Preparing a Superior Generation in the Era of the Industrial Revolution 4.0. Index terms – Elementary School, Superior Generation, 4.0 Industrial Revolution Era. ————————————————————

Significance Of Epochs On Training A Neural Network

Abstract: Deep neural network (DNN), has shown an incredible success in the field of computer vision and in tasks such as classification, facial detection etc. But, accuracy of a model depends on a large number of parameters such as weights, bias, number of hidden layers, different kinds of activation function and hyperparameters. Epochs is a form of hyperparameter which plays an integral part in the training process of a model. The total number of epochs to be used help us decide whether the data is over trained or not. Recently, the performance of deep neural networks, have been improved by making use of pre-trained network architectures, and by the introduction of GPU-based computation and now recently we are even on the verge of training the models on TPU chips. However, there are many problems in the field of Deep Neural Network which concerns the training, back propagation, and customizing of the hyperparameters.

The Effects Of Mobile Marketing, Discount, And Lifestyle On Consumers’ Impulse Buying Behavior In Online Marketplace

Abstract: This study aims to determine the effect of Mobile marketing, Discount, and Lifestyle on Impulse buying Behavior of Marketplace Consumer in students case study of Halu Oleo University. The method used is quantitative research methodology with an explanatory survey method. The population of this study are active internet users of students at Halu Oleo University who have made purchases in the marketplace in the last 10 months from January to October 2019. The sampling technique uses non probability sampling (convenience sampling) techniques, with the number of 100 respondents. The results showed that Mobile marketing and Discount have no significant effect on impulse buying on marketplace consumers. While Lifestyle has a significant positive effect on impulse buying behavior in marketplace consumers by 35.1%. The simultaneous effect of Mobile marketing, Discount, and Lifestyle on impulse buying in the marketplace is 20.9%. While the remaining 79.1% is influenced by other factors not examined in this

Pneumonia Detection Using Convolutional Neural Networks

Abstract: Pneumonia is an infectious and deadly illness in respiratory that is caused by bacteria, fungi, or a virus that infects the human lung air sacs with the load full of fluid or pus. Chest X-rays are the common method used to diagnose pneumonia and it needs a medical expert to evaluate the result of X-ray. The troublesome method of detecting the pneumonia cause a life loss due to improper diagnosis and treatment. With the emerging computer technology, development on an automatic system to detect pneumonia and treating the disease is now possible especially if the patient is in a distant area and medical services is limited. This study intends to incorporate deep learning methods to alleviate the problem. Convolutional Neural Network is optimized to perform the complicated task of detecting diseases like pneumonia to assist medical experts in diagnosis and possible treatment of the disease. The authors developed several models to determine the best possible model in detecting pneumonia with the most accurate results. This study has trained five different models of CNN, namely AlexNet, LeNet, GoogleNet, ResNet and VGGNet using 1024 by 1024 resolution of 26,684 dataset images. The result achieved a 97 percent accuracy rate for VGGNet and the lowest rate is 74 percent achieved by the ResNet model. The result of statistics shows that the trained model was able to detect Pneumonia through examined images of chest X-ray.

Evaluation Of Using Cement In Alkali-Activated Slag Concrete

Abstract: This paper presents an evaluation of utilizing cement (OPC) as a partially replacement from slag (GGBFS) in Alkali Activated Slag Concrete (AASC) mixes cured in ambient conditions. The evaluation of mixes was performed based on workability and compressive strength using Taguchi method. The aluminosilicate source was a mix of GGBFS and OPC, while the alkaline activator was made with a mix of Sodium Hydroxide (SH) and Sodium Silicate (SS). The four parameters considered in this study are: GGBFS:OPC ratio, Na2O ratio, solution modulus (Ms) and water to binder ratio (W/B). Nine mixes were conducted using L9 Taguchi array. Slump test and compression test were carried out on all mixes. The results were evaluated by determining Signal-to-Noise (S/N) ratio using Minitab program and making ANOVA analysis using Qualitek-4 program to investigate the optimum level for each parameter. It was found that using alkali activator with a combination of GGBFS and OPC is not effective method to produce AAC because of the very low workability obtained. On the other hand, using slag only as a binder was effective to produce AAC with high compressive strength and desirable workability.

Development Of An Innovative Multi-Operational Furnace

Abstract: The heat treatment procedures of any material require multiple operations which are to be performed in different furnaces. This procedure is requires much more time and quite expensive. This interest has encouraged the researchers to develop a new furnace. Proposed research work focuses on the development of innovative type of multi-operational furnace in which many heat treatment procedures can be performed in one heating chamber.

The Implementation Of Digital Literacy In Indonesian Suburban EFL Classes

Abstract: As technology continues to grow rapidly, there is an explosive development in digital tools and million pieces of information. Digital literacy, a new concept of literacy has offered to process the information in meaningful ways. Educators have struggled to integrate digital literacy to raise students’ literacy skill across languages. Thus, there is an increasing expectation and demand for English teachers to present digital literacy in the classroom. A major study has studied the implementation of digital literacy in an urban school with high-advanced technology facility. Therefore, an effort to investigate the practice of digital literacy in suburban school is pressingly needed. The study was conducted to reach four aims: (1) to investigate the implementation of digital literacy in a private junior high school Temanggung; (2) to identify teachers’ attitude in practicing digital literacy, (3) to explore the challenges, and (4) how to cope with them. This article involved two EFL teachers who were regarded as millennial teachers and capable to utilize technology. A qualitative research was used to explore the real practice of digital literacy. The excerpts were obtained through a semi structured interview and classroom observation. The result indicated that computer and smartphone were used as digital devices. In practicing them, teachers showed positive attitudes by considering the syllabus as a core, understanding a teacher ’s position, developing effective learning, using multiple literacy and enhancing the four language skills. Meanwhile lack of technology, students’ background, lack of time and limited budgeting are considered as obstacles in implementing digital literacy. Thus, as a strategy, teacher set an early preparation and backing up plan to cope with these challenges. Finally, this article has implications to improve the technological facility, technological pedagogy among teachers, and suggest the policy makers to give more consideration toward digital literacy.

Organisational commitment and job performance in banking industry

Abstract: Job performance is essential to all companies in every business sector. Some of factors which is capable to predispose job performance are work environment and organisational commitment. Those factors can be nurtureed or increased by designing new building and work stations, nurtureing solid relationships among employees and allowing employees to contribute further for the corporation. Data were collected from contract and full-time employees work in banks in Indonesia. 200 questionnaires were distributed to the participating banks. Data were collected from staff or operational employees, assistant managers and managers. Out of 200 questionnaires distributed, 150 questionnaires were completed and returned and 50 questionnaires were not completed and returned. The purposes of this investigation are to explore the predispose of work environment and organisational commitment on job performance in banking industry and discover which factors have the most effect on job performance in banking industry. The results of hypotheses testing shown suggest that work environment predisposes organisational commitment, and work environment predisposes job performance, organisational commitment does not predispose job performance, and work environment does not predispose job performance with organisational commitment as a mediator.

Review The Common Defects In Friction Stir Welding

Abstract: Friction stir welding (FSW) is a solid-state weld process that broadly used by industries and preferred rather than other weld process due to its capability to weld similar and dissimilar materials under high quality. It can be used to weld high strength materials to weight ratio such as aluminum alloys, copper alloys, and magnesium alloys which are normally hard to be welded by conventional fusion welding processes. FSW has significant advantages over other weld processes, such as, automatic, used for most materials, can be carried out in all positions, low distortion, no shielding gas or filler are needed, can be employed under water, and environmentally friendly. On the other hand, FSW is like any other weld methods can produce series visualized or hidden defects if improper care used to process preparation. Of these defects are cracks, pores, voids and tunnel, fragment, lack of penetration, kissing bond, hooking, flash, and other surface defects. This paper presents the most common defects types that can be produced in FSW process and weaken the joint. The defects will be reviewed from some of significant studies made by researchers, and their results will be used to build up a guidance to detect and prevent these defects and their causes to assure producing a free defect weld joint.

Air Pollution Prediction Using Machine Learning Supervised Learning Approach

Abstract: Due to human activities, industrialization and urbanization air is getting polluted. The major air pollutants are CO, NO, C6H6,etc. The concentration of air pollutants in ambient air is governed by the meteorological parameters such as atmospheric wind speed, wind direction, relative humidity, and temperature. Earlier techniques such as Probability, Statistics etc. were used to predict the quality of air, but those methods are very complex to predict, the Machine Learning (ML) is the better approach to predict the air quality. With the need to predict air relative humidity by considering various parameters such as CO, Tin oxide, nonmetallic hydrocarbons, Benzene, Titanium, NO, Tungsten, Indium oxide, Temperature etc, approach uses Linear Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest Method (RF) to predict the Relative humidity of air and uses Root Mean Square Error to predict the accuracy.

Improving The Reactivity Of Clay Nano-Partciles In High Strength Mortars Through Indirect Sonication Method

Abstract: The major problem that faces the use of nano-clay in concrete or in cement mortars is its high-water demand. Many researchers had investigated the reason for the high water demand was due to the high agglomeration behavior of nano-clay when mixed with water. Sonication is one of the methods used to de-agglomerate nano-clay particles and to improve the dispersion of nano-clay in the cement matrix. This research aims to reach the optimum indirect sonication time and the solid to liquid ratio that enhances the dispersion of nano-clay and consequently increases its reactivity in high strength cement mortars. The particle size distribution of the sonicated nano-clay particles and the corresponding specific surface area were the main keys governing the optimization process of the studied parameters. Using the optimum solid to liquid ratio with the corresponding sonication time, cement mortars were prepared, and their compressive strength as compared to a control mix (without nano-clay addition) was measured as an indication of the reactivity of nano-clay. In addition the performed microstructural analysis, SEM and XRD helped in confirming the compressive strength results. The results revealed that the optimum solid to liquid ratio is 1:6. Moreover, for every concentration, there is an optimum indirect sonication time. The optimum sonication time found to be 10 minutes for a solid to liquid ratio 1:6. By using the optimum concentration, an improvement in compressive strength of 18.7% and 22.6% after 7 and 28 days reached as compared to the control mix.

The Role Of Corporate Governance On Earnings Quality From Positive Accounting Theory Framework

Abstract: This study aims to examine the effect of bonuses, debt financing, tax avoidance and corporate governance on earnings quality as well as the role of corporate governance on the effect of bonuses, debt financing, tax avoidance on earnings quality. This research is quantitative research with multiple linear regression models. The sample used in this research is all nonfinancial companies listed on the Indonesia Stock Exchange (IDX). The type of data used in this study is secondary data in the form of financial statements and annual reports from 2012 to 2016. The sample selection using a purposive sampling method with the number of samples amounted to 344 observations. This study uses data with the same number of five years, so that this study employs panel data. This study suggests bonuses are negatively associated with earnings quality. This manager's opportunistic behavior is in line with the hypothesis plan bonus. Debt financing is positively associated with earnings quality. Tax avoidance is negatively associated with earnings quality. Corporate governance is not associated with earnings quality. Corporate governance is expected to be the company's control mechanism to reduce earnings management behavior, which can reduce earnings quality. Corporate governance does not weaken the influence of bonuses on earnings quality. The previous discussion has confirmed that corporate governance does not affect the quality of earnings, and after research, corporate governance is also unable to limit the opportunistic behavior of managers driven by bonus motivation. Corporate governance does not weaken the influence of debt financing on earnings quality. Corporate governance does not weaken the effect of tax avoidance on the quality of earnings. In line with the previous discussion, this result may suggest in Indonesia; corporate governance has not been considered as a need and

Design and implementation of crop yield prediction model in agriculture

Abstract: Agriculture is the best utility region especially inside the developing worldwide areas like India. Usage of records age in agriculture can substitute the circumstance of decision making and Farmers can yield in higher manner. About portion of the number of inhabitants in India relies upon on farming for its occupation however its commitment towards the GDP of India is just 14 percent. One suitable explanation behind this is the deficiency of adequate decision making by farmers on yield prediction. There isn't any framework in location to suggest farmer what plants to grow. The proposed machine learning approach aims at predicting the best yielded crop for a particular region by analyzing various atmospheric f actors like rainfall, temperature, humidity etc., and land factors like soil pH, soil type including past records of crops grown. Finally our system is expected to predict the best yield based on dataset we have collected.

Prediction Of Diabetes Using Machine Learning Classification Algorithms

Abstract: Diabetes is a sickness that takes place whilst glucose content in your blood is too excessive. Insulin is a hormone made through the pancreas, facilitates to separate glucose from meals get into your bodycells for power. On this we used category set of rules techniques of the device mastering to are expecting the diabetes. Five machine getting to know algorithms namely SVM, selection Tree, NaiveBayes , Log istic Regression and KNN are used to hit upon diabetes. This may be capable of predict the chance degrees of diabetes and gives the first-class getting to know set of rules with better accuracy comparatively different algorithms. ——————————  ——————————

Online Game-Based Formative Assessment: Distant Learners Post Graduate Students’ Challenges Towards Quizizz

Abstract: Gamification in education provides a new pathway for learners to be more engaged in their learning journey. „Quizizz‟ is an online game that is used by educators for academic purposes. It allows educators to conduct self-paced online formative assessments in a fun and engaging manner. This study is a quantitative study undertaken to explore the perception of 91 distant post graduate students towards „Quizizz‟. Most of these post graduate students are English teachers serving at elementary schools, secondary schools and tertiary institutions. In this article, despite the students‟ perceptions towards „Quizizz‟ which generally are positive, however, the challenges to the learning process are also prominent. The quest ionnaire consists of 20 items. The data were analyzed descriptively (frequency and percentage) using SPSS version 25. Most of the respondents agreed that „Quizizz‟ is able to provide a platform which promotes positive reinforcement, motivation and immediate feedback when their marks are being displayed on the leaderboard. It is hoped that the findings could provide some insights to educators in employing „Quizizz‟ as their formative assessments.

The Effectiveness Of Public Services Through E-Government In Makassar City

Abstract: The purpose of this research to examine and analyze the effectiveness of public services through the application of Government Electronic systems (e-government) this type of research is descriptive qualitative. Data collection techniques used is observation, interviews, and documents. The results showed that in general, the implementation of e-government in the Makassar city was considered good enough and had a positive influence on improving the effectiveness of public services for the people of Makassar city. Supporting factors that support the implementation of e-government are in addition to the support of human resources that manage e-government is getting better, the political will of the city government, especially the mayor, is very supportive of the implementation of e-government. In terms of the community as a service user, although there are still complaints sometimes, due to miscommunication and technical problems caused by the limitations of the community, the efforts of socialization and evaluation continue to be carried out by the Makassar city government.

Visual appeal model for consumer online impulsive purchases in indonesia

Abstract: This article analyzes the online impulsive purchases. Visual appeal, perceived enjoyment and purchase intention are the exogenous variables. The quantitative research is used in this study with descriptive analysis methods. The samples are 100 consumers who have shopped at the top four online stores in Indonesia (Lazada, Blibli, Tokopedia, Elevenia) and analyzed using path analysis. The results show that visual appeal has a negative influence on purchase intention and consumer online impulsive buying, while visual appeal has an influence on perceived enjoyment. Perceived enjoyment has an influence on purchase intention but has a negative influence on consumer online impulsive buying. Purchase intention has an influence on consumer online impulsive buying. Perceived enjoyment is the most influences variable on purchase intention compared to visual appeal, while the most influential variable on consumer online impulsive buying is purchase intention compared to visual appeal and perceived

Extension Of The TPB In Tax Compliance Behavior: The Role Of Moral Intensity And Customs Tax

Abstract: Tax compliance (TC) is one of the most long-standing issues in the world which becomes a concern to many governments. In Jordan, high percentage of individual taxpayers such as medical doctors, engineers, and lawyers are not complying with tax law. The purpose of this study is to investigate the factors that affect the TCB (TCB) of high-income individual taxpayers in Jordan. This study extends the Theory of Planned Behaviour (TPB) with some selected variables namely moral intensity, customs tax, and fairness. The population of this study is the high-income individual taxpayers working as medical doctors, engineers, and lawyers in Jordan. A stratified random sampling technique was used in this study. A total of 485 complete and usable responses were collected using a questionnaire survey. The data was analysed using Statistical Package for Social Science (SPSS) and Smart Partial Least Square (PLS). The findings showed that moral intensity is the most important predictor of BI followed by attitude, perceived behavioural control and SN. The findings showed that complexity affected negatively the attitude toward tax law while fairness has a positive and significant effect on attitude toward tax law. The behavioural intention affected positively the TCB. Customs tax moderated negatively the effect of attitude on behavioural intention.

Regeneration Of Farmers Through Rural Youth Participation In Chili Agribusiness

Abstract: Farmer regeneration is becoming an important agenda in Indonesia. Farmer regeneration can be started from the participation of the younger generation in the field of agricultural parents. The research aims to descriptively analyze the participation of rural youth and discover the factors that influence the participation of rural youth in chili agribusiness. The study was conducted from June to December 2019 in Garut Regency, West Java, Indonesia. The study population is rural youth aged between 15-40 years who are in the community chili farming. The research sample of 233 people was selected using cluster random sampling technique. Research variables include individual characteristics, external factors, capacity, interest, and participation of rural youth in chili agribusiness. Data collection was carried out by interview using a questionnaire. Data analysis uses descriptive and multiple regression statistical analysis. The results of the study concluded that the majority of respondents rated participation, interests, business capacity and external factors of rural youth as moderate. The average age of rural youth is 31.47 years old, the majority is still in elementary school, most have never been involved in organizations, have never had internships/courses/training, however, cosmopolitan behavior is in the high category. The participation of rural youth in agriculture is influenced by age, cosmopolitan, external factors (government, agricultural extension workers, families and markets support), interests and capacity.

Improving Student Communication Skills In Learning Indonesian Language Through Collaborative Learning

Abstract: Some research results state that students' communication skills have not shown adequate abilities. In terms of communication skills can affect the development of intellectual abilities, emotional and social maturity, and solving various problems faced by them at school. This research is intended to provide an understanding of improving students' communication skills in learning Indonesian through Collaborative Learning at SMK Negeri 1 Bengkulu City. This type of research is a classroom action research with Hopkins model. Data collection techniques carried out in the form of observation, tests, and documentation. Data analysis techniques through the analysis of observational data, calculating the average value of communication skills, analyzing documentation data, and conclusions. The data validity test uses a data source triangulation test. Based on the results of the study note that there is an increase in communication skills, both verbal skills, vocal skills, and body skills of high school students.

A Review On Ohmic Heating And Its Use In Food

Abstract: Ohmic heating, known as joule heating, can produce heat by flowing electric current through materials that can resist the flow of electricity. The volumetric properties resulting from ohmic heating cause heat to be spread evenly on the material. This method is best for foods containing suspended particulate matter in media containing weak salt. The advantage of ohmic heating in food is demonstrated by its ability to deactivate pathogenic microbes, prevent the decline in functional properties of food, nutritional, and sensory values so that food shelf life increases. However, related to viscosity, electrical conductivity, and fouling deposits are the limitations of ohmic heating. In addition to the inhibition of the microbial and enzyme activity, ohmic heat was also used for the extraction of essential compounds, including various specific processes such as starch gelatinization. This review discusses the ohmic heating, the principles and design of ohmic heating, the factors that influence it, and its use in food.

Transformational Leadership, Mediating Effect Of Knowledge Management System And Moderating Effect Of Training In Human Capital Development: SEM-SMART PLS Approach

Abstract: This is a knowledge-based economy era; consequently, the role of human capital cannot be neglected, constituting as it does an important competitive asset in today's global market. After leisure tourism and health tourism, the newest growth sector is education tourism, which attracts a huge number of international students. In the ASEAN region, Singapore and Malaysia are leading countries in this new growth industry. Education tourism is also recognized as a source of GDP growth. To compete with 21st century educational and technological challenges, the government of Thailand has to focus upon improving teachers’ knowledge, skills, and abilities. Human capital can play a vital role in achieving this objective; in turn, this research has developed a framework which identifies the mediating effects of knowledge management systems and the moderating effects of training in developing human capital. Quantitative methods have been used in this study, with data collected from different schools located in Bangkok and other provinces. In order to test the structural model, SMART PLS software has been used in this study. The results of this study reveal that knowledge management systems mediate the relationship between transformational leadership and human capital development. Results also evidence that variable training moderates the relationship between 360 degrees perforce appraisal and human capital development. This study, therefore, contributes to transformational leadership and human capital theory.

Analysis of research culture and scientific production in a national university

Abstract: The research culture is a fundamental pillar for scientific production, because it allows us to train future professionals contemplating the techniques, methods and the process of research to prepare short documents: such as essays, monographs, and then deepen the knowledge by performing the thesis and scientific articles, in order to contribute to science with new knowledge. In the reality studied, it was evidenced that students lack investigative competences. The general and specialty training courses do not develop such capacities, but exclusively to theoretical and practical knowledge linked to professional training. Teachers do not consider research as a profitable activity. However, the educational community is acting proactively for the creation of new research teams with a disruptive presence, where researchers and teachers share their knowledge through the practical teaching of the process of scientific investigation. The university understudy, to date, has several projects financed by CONCYTEC, FINCyT, World Bank, SENCICO, the same that not only contribute to science but the improvement of the quality of life of people with innovative jobs. Although the results are encouraging, the scientific production ratio per research professor turns out to be almost two publications, while if it is related to the student population of the 9th and 10th cycle, the unit is not reached. Consequently, through these changes in the attitude of a tiny group, the student population is encouraged to be part of the new research culture through scientific input for the benefit of the population.

The Development Of Higher Education In Indonesia

Abstract: This study tries to analyze the debates with regards to higher education issues in Indonesia such as the problem of enrollment, equality of education, capacity, the selection of college student acceptance, financing, cross-border education, as well as unemployment. In the end, the debate will lead to a strategic issue between the quality and the quantity in higher education

Analysis Of Use Of Mobile Banking With Acceptance And Use Of Technology (Utaut)

Abstract: With the development of increasingly advanced technology, all banks, both state banks and private banks, are competing to launch a banking service application, namely Mobile Banking. Mobile Banking is a banking service that aims to provide smoothness and convenience in banking by utilizing information technology. Research to examine the extent to which Performance Expectancy, Effort Expectancy Social Influence and Facilitating Conditions influence on Behavioral Intention, see whether Facilitating Conditions and Behavioral intention affect the Behavioral Usage and Facilitating Conditions have a positive and significant effect on Behavioral Usage through Behavioral Intention. This research is an explanatory research, the location of this study was conducted in the city of Malang, East Java. The population in this study were all people who transacted using Mobile Banking with a sample of 190 respondents. Data analysis techniques using Descriptive Statistical Analysis, Path Analysis and Testing Hypotheses. Analysis results 1) Performance Expectancy influences Behavioral Intention, 2) Effort Expectancy influences Behavioral Intention, 3) Social Influence influences Behavioral Intention, 4) Facilitating Conditions influences Behavioral Intention, then 5) Facilitating Conditions influences Behavioral Usage, 6) Behavioral Intention affects Behavioral Usage and 7) Facilitating Conditions do not affect Behavioral Usage through Behavioral intention. Index Terms : Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Behavioral Intention and Behavioral Usage ——————————  ——————————