bluuebunny/crossref_metadata_2025 huggingface dataset:
Students’ Tendencies in Choosing Technical and Vocational Education and Training (TVET): Analysis of the Influential Factors using Analytic Hierarchy Process
Authors: Et.al Chia Ming Hong
Published: April 2021

In the era of Industry Revolution (IR) 4.0, business and industry are being transformed by a new wave of digital technology. In order to boost the economy’s prosperity in Malaysia, skilled workforce or well-trained manpower is vital in accomplishing the goal.However, it requires mainstreaming Technical and Vocational Education Training (TVET)in education system by providingcomprehensive training, effective research consultancy, holistic courses, collaboration, student placement and program attachment opportunity. Coherent from this issue, the government can produce more skill workers that can handle the rapid changing world of work. In Malaysia, there are more than 1000 TVET institutions, where 506 are considered as public institutions. However, itstill receives less attention by the students after secondary education. The identified potential factors are TVET instructors, current policy in Malaysia, social perception, employers’ perception, parents, facility, education cost and student themselves. Therefore, this study aims to rank these factors according to the levels of importance using Analytic Hierarchy Process (AHP) method. AHP is a method used to rank criteria by assigning the weight for each criterion. In this study, primary data is collected using questionnaires from 32 TVET instructors of Institut Kemahiran Belia Negara (IKBN) in northern region of Malaysia. The result of AHP shows that the variable of parents is the most influential factor with the weight of 18.81%, followed by the variable of facilities (18.56%). Conversely, the least influential factor is the variable of social perception with the weight of 7.21%. Hence, the government should implement appropriate strategies to attract more secondary school students to enroll in TVET programs. Due to the growth of skilled workers, our country is expected to transform the landscape of the manufacturing industry over the next decade. Hence, developingthe country’s productivity and curbing youth unemployment.
The Influence of Computer and Internet Self-Efficacy on Individual Entrepreneurial Orientation: An Empirical Study among Bumiputra University Students in Malaysia
Authors: Et.al Nurul Ezaili Alias
Published: April 2021

The Malaysian government has implemented various programs aid to encourage entrepreneurship among Bumiputra youth. However, the number of embarkation among young Bumiputra into the entrepreneurship landscape is still far below the expectation. The fourth industrial revolution (IR 4.0) and 5G technology has transformed the business landscape into fully digitalized and underlined the importance of entrepreneurship. Unfortunately, due to the advancement of technology, entrepreneurship remains with many challenges, locally or globally. Thus, this leads the study to investigate the most researched antecedents in entrepreneurship study; computer and internet self-efficacy effect on individual entrepreneurial orientation (IEO) among Bumiputra university students in Malaysia. It used a self-administered questionnaire to collect data from 450 Bumiputra studentsin several campuses of a public university in Malaysia. It developed a research model that integrated the self-efficacy theory and IEO concept. The conducted research analyses revealed that computer self-efficacy and internet efficacy positively and significantly influenced IEO (i.e. innovation, risk-taking, and proactiveness). As such, this study suggested that higher learning institutions should grasp the importance of entrepreneurial education ICT (information, communication, and technology)-related in developing competitive entrepreneurs among Bumiputra youths. Furthermore, students should be given more opportunities to attend ICT courses and use their ICT capabilities and proactively establish an initial move for business opportunities.ICT-related and entrepreneurship behaviours among university students, is still considered as scarcity, and confronts various challenges in creating, training, and developing of new entrepreneurs. Therefore, this study aimed at examining the ICT-related factors that influenced the Bumiputra youth’s IEO. The study adopted a quantitative research method in which the questionnaire survey was used. The population was full-time final year Bumiputra students in several campuses who registered in a Malaysian public university. Data collected from 450 students selected through a proportionate stratified sampling technique. The data were analyzed through descriptive, frequency, Pearson correlation, and multiple regression analyses. This study found that factors of computer self-efficacy and internet self-efficacy positively and significantly influenced IEO among Bumiputra university students. This study was essential to higher learning institutions (HLIs) and government. It highlighted that HLIs should focus on hands-on and practical of ICT-related entrepreneurship training. Meanwhile, the government should also provide various assistance in boostingstudents' entrepreneurial behaviours.
The Development of aFlexibility-Project Based Learning Model on Vocational Education: A Need Analysis
Authors: Et.al Oriza Candra
Published: April 2021

This study discusses the needs analysis for developing flexibility-project-based learning models in vocational education to optimize the learning process and outcomes. The purpose of this study was to obtain information about the need for developing a proper learning model that can be applied in the domestic electrical installation learning process for students of electrical engineering vocational education at the third diploma level.The instrument used in this study was a questionnaire consisting of four leading indicators. 27 students who took part in the domestic electrical installation learning process became respondents in this study. The results showed that the need for a flexibility-based learning model project obtained a significant score. Thus, the need for a flexibility-project-based learning model developed in the domestic electrical installation learning process is high.
Types Of Social Conflicts In The Family And The Causes Of Their Own
Authors: Khoshimjanovna Narzikulova Dilnoza
Published: April 2021

This article describes the causes, types of social conflicts in the family and ways to overcome them. The article deals with the main manifestations of family conflicts,as well as conflicts between spouses, conflicts between mother-in-law and daughter-in-law, conflicts between mother-in-law and son-in-law, conflicts between parents and children.The main directions of conflict resolution between parents and children are described.
Testing the Usability of the MediCare System
Authors: Et.al Sarmad Monadel Sabree Al-Gayar
Published: April 2021

Smartphones, digital medical devices, smart bracelets, and mobile applications have emerged in the healthcare field as an effective way to help in the treatment of patients. Healthcare services are characterized by ease of use, low cost, accessibility, mobility, and reliability. The MediCare system was built to enhance healthcare services in the Iraqi environment. The MediCare system can run on smartphones or tablets that operate on Android, but it can also be used as a web application. The research team wanted to evaluate if the platform meets customers’ needs. Therefore, a usability survey for the MediCare system in regard to healthcare services and underlying technology was done. In this paper, an evaluation and usability measurement of the MediCare system is presented. The quantitative research shows that users found that the system is suitable for their needs. The system is especially necessary now, when the COVID-19 pandemic is a global emergency.
A Study on the Occupational Carbon Footprint and Environmental Sustainability
Authors: Et.al Lalithambigai.M
Published: April 2021

Global Warming is a well renowned common threat and carbon dioxide is its core which places the entire ecosystem under grave peril. Carbon footprint is an effective tool to measure the menacing acts which emit innumerable amounts of carbon. This study majorly focuses on the influence of income and commute on the Carbon Footprint and Environmental Sustainability. It is designed in such a way to explicitly pinpoint the causes of carbon emissions under various heads like commute, travel, diet, energy and family spend. Primary data from five major subdivisions of population like Entrepreneurs, Home makers, Labors, Professionals and students were considered for the study purpose. A questionnaire that combines general questions and access to a virtual carbon footprint calculator (Shado Calculator) was used to find out the carbon emission of the individual respondent. The findings state that the average carbon footprint increase with an increase in the income level and it is also shaped by commute emissions which contribute the most to the overall carbon footprint. The carbon footprint is generally determined by the occupational and financial soundness. Required initiatives in the form of individual efforts and changes in policy implications must be undertaken at all the levels of the society to control and downsize the impact of the carbon footprint on the environment.
Emerging Trends in the use of IoT in Agriculture and Food Supply Chain Management: A Theoretical Analysis
Authors: P.B Dr. Sajoy
Published: April 2021

The last decade has seen the Internet of Things (IoT) taking the world by storm. IoT has the ability to provide a wide range of services in real-time without any form of human intervention. Its most recent application is in the field of agriculture and food supply chain management. The use of IoT in agriculture and food supply chain management is expected to boost agriculture production as well as improve the quality of food products supplied to customers among other things. The use of IoT in agriculture and food supply chain management has however, raises several issues and concerns including those relating to privacy.
The Influence Of Women Leaders And Their Leadership Style On Employee Engagement Through Talent Management As Mediating Variable
Authors: Et.al Dwi Putra Budi Setia
Published: April 2021

This research aims to investigate the impact of transformational & transactional leadership style towards employee engagement mediated by talent management practices among subordinates with woman as their direct superiors. As the research was conducted during pandemic Covid-19, questionnaires were distributed through online. The method of purposive sampling was adopted to make sure that certain criteria was met before the respondents were deemed to be eligible in filling up the questionnaires. In the end, 117 questionnaires were returned, in which 64% came from manufacturing and mineral industries (majority in oil and gas), while another 36% came from service industries (majority from public sector and trading). The analysis of multiple regression was performed towards the data in addition to use the mediation analysis proposed by Baron & Kenny. The study found that both leadership style was indeed practiced by women leaders. However, results suggested that partial mediation exists in the relationship between transformational leadership style towards employee engagement. While full mediation was supported in the relationship between transactional leadership style towards employee engagement.
A Survey on the security of Cloud Storage System
Authors: Et.al Guru Vimal Kumar M
Published: April 2021

Distributed computing is an emerging processing tool in software engineering today. Distributed computing is a collection of assets and services provided by a company or the internet. Different figuring approaches, such as matrix processing and dispersed registering, are broadened by distributed computing. Distributed computing is now used in both the modern and academic fields. Cloud encourages its customers by providing virtual assets through the internet. New procedures are emerging as the area of distributed computing expands. As the distributed computing environment grows, so do the security problems for cloud engineers. Since cloud clients save their data in the cloud, a lack of security in the cloud can jeopardise the client's trust. In this paper, we'll look at a few different aspects of cloud protection, such as multi-occupancy, versatility, and usability. We'll also look at current security strategies and techniques for a secure cloud. This paper will allow specialists and experts to consider the different security threats as well as the models and instruments that have been suggested.
The activities of Geopolymer aggregate and Fly ash with different Grades of concrete M25, M30, & M40
Authors: Et.al Kumar Saurabh
Published: April 2021

Endeavors are expected to grow harmless to the ecosystem development materials, to diminish ozone depleting substance outflows. This paper persents the exercises of geo polymer total and fly debris with various evaluation of M25, M30 and M40. We are confronting climate issue because of greatest utilization of normal development material, to diminish this kind of issue this paper is a thought of renewal and utilization of contamination free, eco-accommodating, development material for example fly debris. Fly debris assumes an indispensable part in the creation cycle of Geopolymer in light of Quantity and fineness. In geopolymer concrete, a result material wealthy in silicon and alumminium, for example, low-calcium fly debris, is synthetically actuated by a high-soluble answer for structure a glue that ties the free coarse and fine totals, and other unreacted material in the blend.

Concrete is one of the greatest devoured essential development materials on the planet with an imperative job in the development field. Assembling of one ton of concrete delivers almost one ton of CO2 causing natural issues. So there is a need to diminish concrete creation and utilize a few added substances to make concrete economical. Because of developing ecological mindfulness, there is a heightening interest in the utilization of fly debris. It tends to be utilized either as an admixture or as fragmentary substitution of concrete or as fractional substitution of fine total and furthermore as beneficial expansion to accomplish various properties of cement. This paper presents the trial examinations on the impact of fly debris content on compressive strength of M25, M30 and M40 evaluations of cement at an age of 3, 7, and 28.

Because of higher finess shows higher workbability, strength with early length of warming. In this examination the strength properties of cement of M-40 evaluation can be dissected by supplanting concrete by pozzolanic materials like Fly Ash and actuated by profoundly antacid answers for go about as a fastener in blend.

Utilization of Cement in any nation is straightforwardly identified with the nation's foundation and along these lines development in deciding the improvement of the country. India is the second biggest maker of concrete on the planet. Creation of Portland concrete not just deliveries 7% of the World's carbon dioxide, the concrete business likewise utilizes a great deal of characteristic property like limestone, earth, oil, coal and different substances to save the common assets and to lessen the contamination because of the creation of concrete is by prohibitive the concrete substance in the solid without bargaining the strength. Concrete has a negative effect over Environmental, in light of the fact that at the hour of assembling it radiates about a huge load of ozone harming substance (CO2) into the air for each huge load of concrete manufactured.There were endeavors before to incompletely supplant concrete in concrete with new mixtures and industry results.
Short-Term Passenger Count Prediction for Metro Stations using LSTM Network
Authors: Et.al Sminu Izudheen
Published: April 2021

Predicting passenger flow is vital for the management, safety and smooth operation of any metro station. Such predictions are highly challenging as it depends on many parameters including travel pattern of the passengers. In this paper, we propose a highly efficient Long Short Term Memory Network [LSTM] which is a specialization of RNN to achieve this task. To do this prediction we employ the historical dataset from the metro containing the count, age and gender category of the passengers. Unlike earlier works, we also take into account the meteorological data of that time period and also the holiday information which includes the local events and public holidays. This accounts for the occasional spikes or fluctuations in the crowd patterns. Also the information about gender and age category of passengers is given emphasis and considered as an important parameter that affects the overall passenger count . Various configurations of the LSTM model are experimented by training the model repeatedly and the ones that yield the best result for this problem are evaluated and analyzed. The results obtained can be used to build an accurate and reliable predictive model to understand beforehand the amount of passenger crowd to expect
Creation of Ethical Values in Thailand’s Isaan Literature for Sustainable Social Development
Authors: Et.al Phramaha Pongtaratid Sutheero
Published: April 2021

Values are those that are assimilated by the various healing processes that a person receives, which are instilled in the mind, which influence a person's behavior. Therefore, this study of the creation of ethical values in Isan literature for sustainable social development. It has three objectives were (1) to study ethical concepts in Isan literature, (2) to explore patterns of ethical value-building in Isan literature through Isan sermons and Mor Lam performances; and 3. To analyze the value of transmission of values through Isan sermons and the practice of Mor Lam to sustainable social development.The result of study found that. The concept of creating social values based on ethics in Isan literature from several sermons or Mor Lam performances caused by the desire to cultivate the values of the people in the Isan society, reflecting Isan society from the characteristics of the Isan people, creating applied literature and entertainment, inserting morality and doctrine, instilling in the knowledge of sin, merit, goodness and punishment, knowing the duties of a person. It is a concept that wants to create human values based on goodness with themes focusing on the role of the actors, communicating through characters. There is a summary of human actions and there are criteria for judging what is good? what is evil? what are the Dos and Don’ts? It is a model that emphasizes the creation of entertainment along with the socialization of behavior.

The development of values-building model through many sermons or Mor Lam demonstrations towards sustainable social development. From analyzing the data from both documents and going into the area to store insights. It shows to see the strengths, weaknesses and points that need to be developed of creating ethical values in Isan literature for sustainable social development under the conclusion of sustainable development that "Do not get lost in the old things, not drunken new things, until getting the tool called "CCDE Model" which is a component of the model to create values through the sermons or the display of Mor Lam to sustainable social development, including conservation, continuation, development and extension.
Ethnomathematical Practices Among Ifugao: Input To Learning Package In Plane And Solid Geometry
Authors: Capua Roger D.
Published: April 2021

This study focused on the development of a culture-based learning package in Ethnomathematical Plane and Solid Geometry based on the ethnomathematical practices of the Ifugaos. Descriptive developmental approach was used to assess the ethnomathematical practices, and the level of validity and readability of the developed learning package. Results revealed that the following ethnomathematical practices are still very much observed by the Ifugaos: festivals and dances, rice farming, musical instruments, ethnic food preparations, basket weaving, and wood carving. The validity of the developed learning package obtained a rating of passed in content, format, presentation, and organization and up-to-datedness of information. The readability statistics showed that the developed learning package is easy to comprehend and suitable to intended readers and learners since it can be understood by at least Grade 7 students. The developed learning package is recommended for use as teaching learning instructional material in Plane and Solid Geometry subject.
Web-Based Information and Entertainment Portal Development Using Igniter Code Framework
Authors: Et.al Diondy Kusuma
Published: April 2021

The purpose of making this web-based information and entertainment portal application is to develop a portal that can be used by the public in obtaining entertainment and information about trends and lifestyle. In addition, this application is also made with the aim of developing information and entertainment portals that can facilitate content contributors so that they can share ideas and participate in the production of content available on this portal. The method used to develop this web-based information and entertainment portal application is the waterfall method using the Code Igniter framework. Evaluation of this application is carried out with two approaches namely questionnaire and comparison with similar applications. The end result of the development of this application is a web-based portal called Cacta Media that provides information and entertainment in the form of articles and videos
Pre-Service Teachers’ Perception of Online Learning in Islamic University during a Coronavirus (Covic-19) Pandemic
Authors: Et.al Nafan Tarihoran
Published: April 2021

The threat of Corona Virus (Covid-19) has presented unique challenges for the institution of higher education, and it hit most aspects of life, including the education sector. This study aimed to investigate the effectiveness of online learning during the COVID-19pandemic. Data collection in this study was 113 respondent active students participated in this study at the Faculty of Islamic Education and Teacher Training, the State Islamic University of Banten. The sample collection method used simple random sampling conducted online. This research was a quantitative study using a survey method. The study analysed the effect of gender, age, and years of online learning experience differences on students’ perception of learning activities. This paper also explained about kinds of online learning used during the COVID-19 pandemic. It can be concluded that online learning was effective because the conditions that required online study and the lecturer-students talk as not as effective as in the normal classroom. The results of the study have implications for online lecturers, students, and administrators. Supports from institution and government are needed for the success of online learning.
Traffic Sign Classification Using Convolutional Neural Networks and Computer Vision
Authors: Et.al Anuraag Velamati
Published: April 2021

The world is quickly and continuously advancing towards better technological advancements that will make life quite easier for us, human beings [22]. Humans are looking for more interactive and advanced ways to improve their learning. One such dream is making a machine think like a computer, which lead to innovations like AI and deep learning [25]. The world is running at a higher pace in the domain of AI, deep learning, robotics and machine learning Using this knowledge and technology, we could develop anything right now [36]. As a part of sub-domain, the introduction of Convolution Neural Networks made deep learning extensively strong in the domain of image classification and detection [1]..The research that we have conducted is one of its kind. Our research used Convolution Neural Network, TensorFlow and Keras.
Increase of Graduates by the Thesis Development at Public Universities in Peru through Collaborative Motivation
Authors: Et.al Hugo Vega
Published: April 2021

In Peru, there is a deficit of university students who manage to graduate by the thesis development modality; in the different faculties of public universities, the number of graduates for this modality is low. This research analyses the particular situation of graduates in the faculty of Systems Engineering and Computer Science of the Universidad Nacional Mayor de San Marcos from 2014, where less than 10% of the total graduates were identified, graduate by the modality of thesis support and that more than 90% graduate through various modalities that do not include making a thesis; the consequence of this is the small amount of thesis generated and therefore the low research index as well as the null publication of scientific articles by our graduates. Therefore, this research aims to increase the percentage of graduates by the thesis development modality through collaborative motivation using virtual platforms and support graduates in the publication of scientific articles. At the end of the research, more than 50% of graduates by the thesis development modality were increased; the publication of scientific articles generated by graduates through the thesis development modality based on the results of their research was also increased
Determinant Factors Affecting Performance of Supply Chain in Pulp and Paper Industries During Pandemic Era in Indonesia
Authors: Et.al Kis Yoga Utomo
Published: April 2021

One of the important keys for businesses today to be able to compete is to strengthen their supply chain management system.The impact of a pandemic is felt by all types of businesses, the most important unit of business that also feels the impact of the pandemic is how businesses maintain and even improve the performance of their supply chain management and one of the businesses or industries that is sufficiently affected by the pandemic for its supply chain resilience ispulp and paperindustry. The purpose of this study is to improve the performance of the supply chain, especially in the pulp and paper industry in Indonesia during the pandemic. This study uses two independent variables, namely inventory policies and information sharing and one dependent variable, namely supply chain performance. Data collection in the form of a survey using questionnaire media was carried out on 85 practitioners who work in supply chain units such as production, marketing and logistics. Data collection was carried out from July to September 2020. The results of this study are the conclusion that there is a positive and significant effect of inventory policies and information sharing on supply chain performance. The estimated coefficient of inventory policy on supply chain performance is 0.61, while the estimated coefficient of information sharing on supply chain performance is 0.24. The simultaneously effect of the two independent variables on the dependent is 0.72.
Factors influencing the labour market insertion of undergraduate graduates from Peruvian universities
Authors: Judith Soledad Yangali Vicente Pedro Yvan Saenz Rivera,
Published: April 2021

The objective of the research was to propose that some socio-demographic factors: gender, economic level and parents' education; basic education factors such as the department and type of secondary education management and mainly undergraduate and postgraduate factors measured by the characteristics of the university-career explain the insertion of university graduates in the Peruvian labour market. The quantitative, theoretical and explanatory approach study consisted of the analysis of information received from the Ministry of Education, a sample of 8072 graduates from 2014-2017 from a total of 15 private universities and 35 state universities. We found 50% of graduates employed with adequate hours, wages and tasks, 21% with inadequate employment and the remaining 29% unemployed. Using the multinomial logistic regression model, it was shown that engineering degrees have 4 times the employment opportunity, while graduating from a university in the first places in the Research Ranking favours employment by around 50%, gender, department, family income and the mother's level of education are also factors that condition employment insertion.
Power Quality Classification of disturbances using Discrete Wavelet Packet Transform (DWPT) with Adaptive Neuro-Fuzzy System
Authors: Et. al. K.RamaMohana Reddy
Published: April 2021

With the development of the technologies, the demand for good quality of electric power is increasing day by day. In Distributed Generation Systems (DGs), the quality of power can cause serious problems such as sensitive equipment's malfunction, the temperature riseof machines. Therefore, detection of power quality events in the power system is more important to take further actions. The existing power quality events classification methods have high computational time with low accuracy. In order to overcome this problem, this paper presents Discrete Packet Wavelet Transform-Kalman filter based Adaptive Neuro-Fuzzy approach for identification and classification of PQ events. The proposed method classifies the events with better classification accuracy, less convergence time and low in error prediction. The results show that the proposed method has better performance compared with the existing classification methods. The proposed method is Implemented and tested using MATLAB and it provides more accuracy when compared to the existing systems such as Discrete Wavelet Transform based Fuzzy Logic Adaptive System and Fourier Transform based Artificial neural networks etc..
Modeling the Labor Force Participation Rate of the Philippines through Multiple Linear Regression
Authors: Et. al. Angelu G. Leynes
Published: April 2021

The main purpose of this study is to formulate a mathematical regression model showing the significant effect of the independent variables to the dependent variable. The researchers obtained the quarterly data from the Philippine Statistics Authority (PSA) limited only from 2001 to 2016 with a total of 448 observations. The data include the following factors: Employment Rate (X1), Underemployment Rate (X2), Gross National Income (X3), Household Population 15 yrs+ (X4) and Gross Domestic Product (X5) as independent variables that can affect the Labor Force Participation Rate in the Philippines. The researchers use the IBM Statistical Package for the Social Sciences as a statistical tool for recording and analyzing the quarterly data. The researchers employed two main statistical treatments which are subjected at 1% level of significance: Pearson R Correlation, to determine which of the independent variables have significant relationship with the dependent variable; and Multiple Linear Regression Analysis, to formulate the fitted mathematical model for the dependent variable. According to the results gathered, three out of five independent variables become the predictors of Labor Force Participation Rate which are included in the fitted model. Moreover, the researchers also utilize the Paired-T test to find if the predicted values and the actual values of the dependent variable have significant difference with each other
Macroeconomic Factors Affect the Electricity Consumption: A Case of ASEAN Countries
Authors: Ramli Munirah
Published: April 2021

The ASEAN Centre of Energy (ACE) aims to improve electricity accessibility among all 10 members. Electricity consumption is concerned globally, since it is main intermediate input of production in pursuing economic growth in this era Industrial Revolution 5.0. The motivation of this study is to examine the key elements that derives the electricity consumption in all Association of Southeast Asian Nations (ASEAN) countries from year 2000 to 2018. A panel data is utilized to investigate the relationship between urban population, industrial structure and financial development towards electricity consumption (kWh) using linear regression model (Pooled OLS, Random Effect, and Fixed Effect models). Results found that rapid growth of urban population gives a great impact to electricity consumption. Thailand and Vietnam have the highest positive interception using Fixed Effect model estimation. The findings of this research suggests the government to explore new energy sources to meet the increased demand of electricity while balancing the environmental sustainabilit.
A Novel Granularity Optimal Feature Selection based on Multi-Variant Clustering for High Dimensional Data
Authors: Et. al. Srinivas Kolli
Published: April 2021

Clustering is the most complex in multi/high dimensional data because of sub feature selection from overall features present in categorical data sources. Sub set feature be the aggressive approach to decrease feature dimensionality in mining of data, identification of patterns. Main aim behind selection of feature with respect to selection of optimal feature and decrease the redundancy. In-order to compute with redundant/irrelevant features in high dimensional sample data exploration based on feature selection calculation with data granular described in this document. Propose aNovel Granular Feature Multi-variant Clustering based Genetic Algorithm (NGFMCGA) model to evaluate the performance results in this implementation. This model main consists two phases, in first phase, based on theoretic graph grouping procedure divide features into different clusters, in second phase, select strongly  representative related feature from each cluster with respect to matching of subset of features. Features present in this concept are independent because of features select from different clusters, proposed approach clustering have high probability in processing and increasing the quality of independent and useful features.Optimal subset feature selection improves accuracy of clustering and feature classification, performance of proposed approach describes better accuracy with respect to optimal subset selection is applied on publicly related data sets and it is compared with traditional supervised evolutionary approaches
Indonesian New Exporter (INE) as a Training and Development Model Micro Small and Medium Enterprises (MSMEs) in The Field of Handicrafts
Authors: Raharjo Timbul
Published: April 2021

The Indonesian New Exporters (INE) program is a model for export development through training from upstream to downstream. Indonesia's handicraft export activities during the Covid-19 pandemic experienced a significant decline. A good strategy is needed in its development so that the handicraft sector MSMEs can enter the export market. This study aims to create a new exporter solution in the handicraft business sector. The method used in this paper is descriptive qualitative through learning by providing knowledge training and practice. The training includes the manufacture of new products, branding, displays, pricing, negotiations, delivery methods, completeness of export documents, and promoting handicraft products at the International Craft Exhibition. Material by preparing superior craft products according to global market demand. This research involved 20 MSMEs participants in Bantul Regency, Yogyakarta Special Region. MSMEs participants gain experience in preparing new handicraft products to export sales methods. The creation of handicraft products is adjusted to the growing trend in the world of export destinations. The results show that the training provided can increase the number of new entrepreneurs in the handicraft sector. New entrepreneurs who understand the mechanism of handicraft export can be formed correctly. INE offers clear directions for coaching and business development in the export-oriented handicraft sector. INE provides support and support in improving the community's welfare and economy and increasing the State's foreign exchange.
Dynamic Impact Response of Ultrafine Grained AA5052 Aluminum Alloy Processed Via Multiaxial Forging at Cryogenic Temperature
Authors: Et. al. O. J. Ajao
Published: April 2021

In this study, high strain rate mechanical test was conducted on ultrafine-grained AA5052 aluminum alloy using the Split-Hopkinson Pressure Bar experiment. The AA5052 aluminum alloy was processed via multiaxial forging under cryogenic condition at two different cycles  to achieve grain refinement and ultimately, increase in strength of the material. The average strain rates that the specimens were subjected to during the Split-Hopkinson Pressure Bar experiment ranges from 1000 s-1 to 5000 s-1 at an increment of 1000 s-1. The EBSD map shows that the average grain size of the AA5052 aluminum alloys for the samples processed at 4-cycles is approximately ~900 nm while the samples processed at 6-cycles have a lower average grain size of approximately ~700 nm due to being subjected to more plastic deformation during the processing. The high strain rate deformation process of both specimens was dominated by thermal softening with minima strain hardening effect. During the deformation, the maximum flow stress experienced by samples that was processed at 4-cycles is 410 MPa at 5000 s-1 strain rate while samples processed at 6-cycles has 494 MPa at 3000 s-1. Strain hardenability is not dominant in the deformation mechanism but relative to AA5052 CF (4-cycles), AA5052 CF (6-cycles) has a better strain hardening exponent as the strain rate increases. Both specimens have the highest strain hardening exponent at 1000 s-1 which is 0.1544 and 0.134 for AA5052 CF (4-cycles) and AA5052 CF (6-cycles), respectively. Our results show that AA5052 CF (6-cycles) possesses better mechanical properties under high strain rate in comparison with AA5052 CF (6-cycles).
Artificial Neural Network Based Amharic Language Speaker Recognition
Authors: Et. al. Gizachew Belayneh Gebre
Published: April 2021

In this artificial intelligence time, speaker recognition is the most useful biometric recognition technique. Security is a big issue that needs careful attention because of every activities have been becoming automated and internet based. For security purpose, unique features of authorized user are highly needed. Voice is one of the wonderful unique biometric features. So, developing speaker recognition based on scientific research is the most concerned issue. Nowadays, criminal activities are increasing day to day in different clever way. So, every country should have strengthen forensic investigation using such technologies. The study was done by inspiration of contextualizing this concept for our country. In this study, text-independent Amharic language speaker recognition model was developed using Mel-Frequency Cepstral Coefficients to extract features from preprocessed speech signals and Artificial Neural Network to model the feature vector obtained from the Mel-Frequency Cepstral Coefficients and to classify objects while testing. The researcher used 20 sampled speeches of 10 each speaker (total of 200 speech samples) for training and testing separately. By setting the number of hidden neurons to 15, 20, and 25, three different models have been developed and evaluated for accuracy. The fourth-generation high-level programming language and interactive environment MATLAB is used to conduct the overall study implementations. At the end, very promising findings have been obtained. The study achieved better performance than other related researches which used Vector Quantization and Gaussian Mixture Model modelling techniques. Implementable result could obtain for the future by increasing number of speakers and speech samples and including the four Amharic accents.
A Honey pot Implementation for security Enhancement in IOT System using AES and Key management
Authors: Et. al. Pothumani.Parvathi
Published: April 2021

: Honey pot technology is a trap technology in network defence. It studies and learns the adversary’s attacks by attracting and deceiving attackers and recording their attack behaviours. Target and attack methods to protect real service resources. However, traditional honey pot technology has inherent shortcomings such as static configuration and fixed deployment, and it is very easy to be attacked. Attacker identification bypasses and loses decoy value. Therefore, how to improve the dynamic and deceptive nature of honey pots has become a key issue in the field of honey pots. This paper is the research results in the field of honey pots at home and abroad are sorted out. First, the development history of honey pots is summarized. Then, the key technology of honey pots is the core, and the implementation process, department. It analyzes the method of signature, anti-identification thinking, and the theoretical basis of game; finally, it classifies and narrates the defence results of different honey pots in recent years, and develops the honey pot technology. Development trends are analyzed and stated, aiming at potential security threats, and looking forward to defence applications in emerging areas. In this paper, novel AES algorithm has been developed. In addition key management feature is added which provides more secure for registered users.
Project Kinang: A Gem In Advancing The Individual Innovativeness Of Pre-Service Secondary School Teachers
Authors: Et. al. Romiro G. Bautista
Published: April 2021

: Innovativeness is the idea that describes an individual’s tendency to adopt and adapt innovation earlier than other members of their niche and the society where they live in. This study aimed to determine the individual innovativeness of pre-service secondary school teachers as affected by Project KINANG. Employing the Mixed Method with the One Group Pretest Posttest Research design and Phenomenology as points of inquiry to a group of 89 Pre-service Secondary School Teachers, the following were found: the respondents were made early adopters, early and late majority from their initial states as early and late majority and laggards; the statistical treatment showed significant results on the respondents’ innovation index in their pretest and posttest; the effect size of Project KINANG was of medial effect; and the Project KINANG interacted better among males, Biology majors, and age group 21-22 although no significant results were posted through ANOVA. Moreover, the pre-service secondary school teachers vouched that the Project KINANG provided them learning experiences and encounters that were morale boosting and motivating; hastening task management, teaching effectiveness, curiosity, and innovation; inspiring the pre-service secondary school teachers to become researchers; improving the pre-service secondary school teachers’ communication skills; and heightening collaboration that provided them avenues to learn new ideas. Owing to the aforementioned results, it is concluded that the provisions of Project KINANG improved the innovativeness of the pre-service secondary school teachers.
An Analysis on Forecasting Inflation Rate in the Philippines: A Recurrent Neural Network Method Approach
Authors: Et. al. Jackie D. Urrutia
Published: April 2021

Inflation rate is the proceeding rise within the common level of costs of products and services in an economy over a certain span of time. In 2018, the Philippines has the highest inflation rate among the 10 South East Asian countries. The objective of this research is to forecast the inflation rate of the Philippines for the next five years (2019-2023). Also, the researchers compared the results obtained from the Multiple Linear Regression and Recurrent Neural Network (RNN) performed in MATLAB to determine which of these two models will be the better model in forecasting inflation rate. In this study, the researchers observed the behavior of the Inflation Rate(y) and its economic factors such as Import (x1), Export (x2), Money Supply (x3), Gross Domestic Product (x4), Gross National Product (x5), Expenditure (x6) and Exchange Rate (x7). Using Multiple Linear Regression, this study determined that the significant predictors are Money Supply (x3) and Expenditures (x6). By evaluating the forecast efficiency of the two methods, the researchers concluded that Multilayered Recurrent Neural Network outperforms Multiple Linear Regression in predicting inflation rate of the Philippines. This paper can be useful to the Philippine Government on their decisions about monetary policy making since forecasting the inflation rate has a huge importance and impact in conducting monetary policy.
Artificial Intelligence Snake Robot (AISR)
Authors: Et. al. Engr. Jose Marie B.Dipay
Published: April 2021

This study was conducted to design, develop and initially implement the Artificial Intelligence Snake Robot (AISR). Specifically, it identified the problems encountered in conducting manual rescuing people from natural calamity; the appropriate features of the tool that can be developed to address the problems encountered, and the respondents’ level of acceptance of the user toward the developed tool in terms of performance, portability, operability, and efficacy. The research used the qualitative-quantitative research method that utilized a researcher-made questionnaire and interview questions. The respondents of the study were fifty (50) Life Rescuers, 25 (25) Red Cross Staff and 25 (25) Random People from different places. The problems encountered in manual rescuing people from natural calamity; hard time finding people lost during disaster, lack of new technologies and equipment, lack of K-9 dogs and burden of working on disaster area. The appropriate features of the tool that can be developed to address the problems encountered were: sensors can make the process of rescuing people faster and easier. The respondents’ ratings for Artificial Intelligence Snake Robot (AISR) were extremely receivable in terms of performance (4.60); portability (4.54); operability (4.51); and efficacy (4.56). The government or other authorities will orient the proper use of the propose robot to avoid having a problem in rescuing people.
An Analytical Study On Forecasting Exchange Rate In The Philippines Using Multi-Layer Feed Forward Neural Network
Authors: Et. al. Jackie D. Urrutia
Published: April 2021

Exchange Rate is one of the economic indicators in the Philippines. It is the value of the nation’s currency versus the  currency of another country or economic zone. This study aims to forecast the monthly Exchange Rate (y) of the Philippines from November 2018 to December 2023 using Multiple Linear Regression and Multi-Layer Feed Forward Neural Network. The researchers investigate the behaviour of each independent variables – Inflation Rate (x1), Balance of Payments (x2), Interest Rate (x3), Producer’s Price Index (x4), Export (x5), Import (x6), Money Supply (x7), and Consumer’s Price Index (x8) from Philippine Statistics Authority (PSA) starts from January 2007 up to October 2018. Multiple Linear Regression (MLR) was used to identify significant predictors among these independent variables. The Exchange Rate (y) had undergone first difference transformation. Upon running the regression analysis, it has concluded that only two independent variables are significant predictors, namely: Balance of Payments (x2) and Import (x6). Through these significant predictors, the MLR model was formulated. On the other hand, Multi-Layer Feed forward Neural Network (MFFNN) was also used to determine the forecasted values of Exchange Rate (y) for the next five years (2018-2023) given the said independent variables and obtained a model. The researchers compared the model of Multiple Linear Regression and Multi-Layer Feed Forward Neural Network by evaluating the forecasting accuracy of each method.It was concluded that Multi-Layer Feed forward Neural Network is the best fitting model for forecasting the

Exchange rate (y) in the Philippines. This paper will serve as a tool of awareness for the government to forsee the trend of Exchange Rate in the Philippines on the next five years  (2018-2023) for Monetary Policy making and to prevent the possible depreciation of peso vs. dollar.