Students’ Tendencies in Choosing Technical and Vocational Education and Training (TVET): Analysis of the Influential Factors using Analytic Hierarchy Process

2021 ◽  
Vol 12 (3) ◽  
pp. 2608-2615
Author(s):  
Chia Ming Hong Et.al
Keyword(s):  
Analytic Hierarchy Process ◽  
Vocational Education ◽  
Social Perception ◽  
Influential Factor ◽  
Skilled Workers ◽  
Analytic Hierarchy ◽  
Technical And Vocational Education ◽  
The Government ◽  
Trained Manpower ◽  
Hierarchy Process

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.

scholarly journals Flash Flood Impact Assessment in Jeddah City: An Analytic Hierarchy Process Approach

Hydrology ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 10 ◽  
Author(s):  
Umar Lawal Dano
Keyword(s):  
Analytic Hierarchy Process ◽  
Flash Flood ◽  
Productivity Loss ◽  
Flood Hazards ◽  
Analytic Hierarchy ◽  
Flood Impacts ◽  
Impact Reduction ◽  
Flood Impact ◽  
The Government ◽  
Hierarchy Process

Floods are among the most destructive natural hazards that cost lives and disrupt the socioeconomic activities of residents, especially in the rapidly growing cities of developing countries. Jeddah, a coastal city situated in Saudi Arabia, has experienced severe flash flood events in recent years. With intense rainfall, extensive coastal developments, and sensitive ecosystems, the city is susceptible to severe flash flood risks. The objective of this article is to apply an Analytic Hierarchy Process (AHP) model to explore the impacts of flash flood hazards and identify the most effective approaches to reducing the flash flood impacts in Jeddah using expert’s opinions. The study utilizes experts’ judgments and employs the AHP for data analyses and modeling. The results indicated that property loss has the highest probability of occurrence in the events of a flash flood with a priority level of 42%, followed by productivity loss (28%). Injuries and death were rated the least priority of 18% and 12%, respectively. Concerning flood impact reduction alternatives, river management (41%) and early warning system (38%) are the most favorable options. The findings could assist the government to design appropriate measures to safeguard the lives and properties of the residents. The study concludes by underscoring the significance of incorporating experts’ judgments in assessing flash flood impacts.

scholarly journals The Priority of Factors of Building Government as a Platform with Analytic Hierarchy Process Analysis

2020 ◽  
Vol 12 (14) ◽  
pp. 5615 ◽  
Author(s):  
Hyungjun Seo ◽  
Seunghwan Myeong
Keyword(s):  
Public Sector ◽  
Analytic Hierarchy Process ◽  
Process Analysis ◽  
Electronic Government ◽  
Data Driven ◽  
Analytic Hierarchy ◽  
The Public ◽  
Study Results ◽  
The Government ◽  
Hierarchy Process

Nowadays, the Government as a Platform (GaaP) based on cloud computing and network, has come to be considered a new structure to manage efficiently data-driven administration in the public sector. When the GaaP concept was first introduced, the ICT infrastructures that could underpin GaaP were not sufficiently developed. However, the recent digital transformation has transformed the previous electronic government, which was system- and architecture-oriented. As part of the next generation of government models, GaaP may reinvent the government at a lower cost but with better performance, similar to the case of electronic government two decades ago. This study attempted to determine the priority of factors of GaaP by using the analytic hierarchy process (AHP) methodology. Because of the GaaP characteristics, we drew the main components for building GaaP from previous studies and a group interview with experts. The study results show that experts tend to prefer publicness in terms of building GaaP. Most of the factors that the experts weighed with the highest importance are related to the public sector, which revealed that governments should focus on their primary duty, regardless of the origin and characteristics of the platform in GaaP. However, since GaaP allows governments to be more horizontal and innovative, the platform approach can fundamentally shift the existing processes and culture of the public sector. The enhanced activity of citizens with ICT can also accelerate the introduction of GaaP. Finally, the study showed that a data-driven GaaP is necessary to efficiently handle big data, contract services, and multiple levels of on-line and off-line channels. In this public platform, government, citizens, and private sector organizations can work cooperatively as partners to seamlessly govern the hyper-connected society.

scholarly journals Identifying the Planning Priorities for Green Infrastructure within Urban Environments Using Analytic Hierarchy Process

2020 ◽  
Vol 12 (13) ◽  
pp. 5468
Author(s):  
Yeeun Shin ◽  
Suyeon Kim ◽  
Sang-Woo Lee ◽  
Kyungjin An
Keyword(s):  
Analytic Hierarchy Process ◽  
Green Infrastructure ◽  
Urban Areas ◽  
Urban Environments ◽  
Analytic Hierarchy ◽  
Urban Green Spaces ◽  
Government Sector ◽  
The Government ◽  
Hierarchy Process ◽  
Design And Construction

Urban environmental issues such as declining air quality and increasing urban heat island effects can be managed by the effective use of urban green spaces. Consequently, the importance of green infrastructure (GI) has rapidly increased over time. While the various functions of GI have been investigated in numerous studies, limited research has focused on prioritizing those factors which impact the planning and development of GI. This study used literature reviews, expert surveys, and an analytic hierarchy process methodology to identify and prioritize the critical factors influencing GI during the design and construction process to enhance the role of GI in urban areas. Experts were asked to prioritize four primary (ecological, landscape, usability, and economic factors) and 16 secondary aspects of GI design. Respondents strongly agreed on the importance of the ecological aspects of GI, while the government sector also highlighted the importance of economic concerns, such as ongoing maintenance. Results indicated that the priorities for creating GI require further analysis and mediation between stakeholders. Further empirical evidence should be accumulated regarding the functions of GI for policy implementation in design and construction.

scholarly journals Evaluating the Performance of the Government Venture Capital Guiding Fund Using the Intuitionistic Fuzzy Analytic Hierarchy Process

2020 ◽  
Vol 12 (17) ◽  
pp. 6908 ◽  
Author(s):  
Jianjun Xu ◽  
Lijie Yu ◽  
Rakesh Gupta
Keyword(s):  
Venture Capital ◽  
Analytic Hierarchy Process ◽  
Analytical Framework ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
The Government ◽  
High Level ◽  
Hierarchy Process

The performance evaluation of the government venture capital guiding fund (GVCGF) has come into focus in the field of venture capital. Most of the existing studies, such as whether the GVCGF has guided social capital to start-up enterprises and has played its due role in the process of enterprise growth and innovation, are all based on relevant work under the framework of econometric analysis. Unlike in these existing studies, we construct the performance analysis model of the GVCGF from four dimensions, including the standardization development of the guidance fund, the risk control ability, and the leverage and the support effects under the framework of a multi-attribute decision-making analysis. Taking a GVCGF project in Ningbo City, China, as an example, we comprehensively evaluate the development performance of the GVCGF using the intuitionistic fuzzy analytic hierarchy process (IFAHP). The results show that the development performance of the GVCGF is at a “relatively high” level. Compared with the traditional analytic hierarchy process (AHP), the IFAHP effectively avoids the false, enlarged influence caused by data subjectivity and evaluation uncertainty. This study provides a feasible analytical framework for the application of the IFAHP in other project performance evaluations.

scholarly journals TECHNICAL FEASIBILITY STUDY MODEL OF AGED APARTMENT RENOVATION APPLYING ANALYTIC HIERARCHY PROCESS

2021 ◽  
Vol 0 (0) ◽  
pp. 1-12
Author(s):  
Junho Choi ◽  
Jaepil Choi
Keyword(s):  
Analytic Hierarchy Process ◽  
Feasibility Study ◽  
Residential Buildings ◽  
Feasibility Studies ◽  
Analytic Hierarchy ◽  
Technical Feasibility ◽  
Technical Aspects ◽  
The Government ◽  
Hierarchy Process ◽  
Study Unit

Residential buildings are being renovated around the world, especially apartments, their solutions are becoming increasingly important. The number of apartments in Korea that are more than 20 years old has reached 4.3 million, and the problem of aged apartments now needs to be addressed. Consequently, the government is promoting the improvement of the residential environment through renovation. In a renovation project, a feasibility study is conducted at the outset, but many apartments fail to complete the renovation process during the project. One reason is that feasibility studies focus on economics without sufficiently considering the technical aspects of the redesign. This study developed a feasibility study model that can pre-evaluate apartment renovation in terms of technology. We selected 27 criteria that affect technical feasibility, and the analytic hierarchy process (AHP) was performed with experts to derive the relative importance of the criteria. Based on the weight of the criteria, we developed an apartment renovation technology feasibility study model. As a result of the study, unit and complex conditions were found to have a significant influence on renovation. Moreover, it was found that the technical feasibility study model can quantitatively evaluate the technical aspects of an apartment to be renovated.

scholarly journals Production Development Strategy on Corn (Zea Mays) Commodity in Banten Province Using Process Hierarchy Analysis Method

2021 ◽  
Vol 2 (1) ◽  
pp. 18-23
Author(s):  
Ahmad Alfarizy ◽  
Mohamad Arief Setiawan ◽  
Kalfin Kalfin
Keyword(s):  
Focus Group ◽  
Analytic Hierarchy Process ◽  
Development Strategy ◽  
Group Discussion ◽  
Sampling Technique ◽  
Raw Material ◽  
Product Introduction ◽  
Analytic Hierarchy ◽  
The Government ◽  
Hierarchy Process

The increased rate of maize production in Indonesia is relatively slow, on the other hand, the need for corn as raw material for the food industry and faster food improvement. Still, demand for maize for direct consumption during the economic crisis also increased. This study aims to identify corn development strategy in Banten Province and formulate priority scale efforts for corn commodity development strategy in Banten province.  The type of this research is qualitative with a descriptive approach, with the research location taken intentionally (purposive). The in Banten Province, then prioritize the strategy to improve and expand the marketing network in the form of fruit and corn processing products (corn kernels) through the program of local superior product introduction to outsiders of Banten Province. The priority of the fifth development strategy is to increase cooperation between farmers, processing industries, and traders with the government. The sampling technique used the purposive sampling method with 52 respondents consisting of farmers, the processing industry, traders, and the government. Data analysis using Analytic Hierarchy Process and Focus Group Discussion. The result of this research is the alternative development strategy of 25 strategies which are all obtained through Focus Group Discussions and Analytic Hierarchy Process method, then get the strategy priority scale, the priority strategy to improve corn cultivation technique in Banten Province, then the priority of strategy improvement of facilities and infrastructure. The priority of further development strategy is to improve the quality and quantity of maize.

The Application of Improved Fuzzy Analytic Hierarchy Process (FAHP) in the Condenser Fault Diagnosis

2013 ◽  
Vol 446-447 ◽  
pp. 1104-1108
Author(s):  
Jian Meng Yang ◽  
Ya Qing Jia ◽  
Feng Ying Liang
Keyword(s):  
Fault Diagnosis ◽  
Power Plant ◽  
Analytic Hierarchy Process ◽  
Great Influence ◽  
Influential Factors ◽  
Influential Factor ◽  
Safe Operation ◽  
Analytic Hierarchy ◽  
Fuzzy Matrix ◽  
Hierarchy Process

The vacuum of condenser is an important parameter in the operation of steam turbine, which has a great influence on the safe operation and regulation performance of the turbine. Since the influential factors of vacuum reduction of condenser are fuzzy and uncertain, the improved FAHP is used. By comparing every two of the influential factors, the fuzzy matrix is constructed. The weight index of influential factors of vacuum reduction of condenser in a certain power plant is calculated out quantitatively. The most important influential factor is found out. And there is a verification which exactly identifies the fault of the condenser by using a real instance.

The Study of the Restrain on the Development of Low-Carbon Building

2012 ◽  
Vol 209-211 ◽  
pp. 485-491
Author(s):  
Zhen Dong Ma ◽  
Ping Sheng Xie
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Social Economic ◽  
Influential Factor ◽  
Low Carbon ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Framework System ◽  
Hierarchy Process

This article intended to analyze the factors that affect the development of low-carbon building, to establish a low-carbon building Influencing factors framework system with social, economic, technique, management index, combining Analytic Hierarchy Process and DEMATEL method, to provide reference for the authority to promote low-carbon building by processing the influential factor in the framework and providing 5 key factors that restrain the development of low-carbon building.

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