Analytic Hierarchy Process(AHP) Method for Improvement of Government Advertising System : Focusing on the Government Advertising Law

2020 ◽  
Vol 31 (4) ◽  
pp. 125-149
Author(s):  
Heebok Lee ◽  
◽  
Moonki Hong
2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP


Author(s):  
Ilham Pramuja Nasution ◽  
Arjon Samuel Sitio

The budget allocation of a village fund is very important and take big effect to village progress Because the office to distribute the tax result for village development. But, that allocation is not accurately. Therefore there was design a system to support a decision a budget allocation of village funds by using an Analytical Hierarchy Process (AHP) method. This research done to the make-easy an office village in budgeting is the allocation of village funds. An method of Analytical Hierarchy Process (AHP) is one of a method known as important as the highest level. An AHP method is look for the best alternative


Author(s):  
Chia Ming Hong Et.al

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.


2020 ◽  
Vol 10 (4) ◽  
pp. 79-87
Author(s):  
V.M. Romanchuk

The Analytic hierarchy process (AHP) is a popular method for solving multi-criteria problems. However, the problem of the adequacy of the AHP method is not solved. Opponents of the Analytic hierarchy process believe that the AHP as a whole is erroneous and cannot be applied in practice. Proponents of the method believe that the disadvantages of the method are compensated by a simple measurement procedure. In this paper, a modification of the AHP method is proposed. A mathematical model of measurement is formulated, which contains a built-in mechanism for checking adequacy. moreover, the measurement method is preserved, and the calculation algorithm becomes even simpler. The fact is that the Analytic hierarchy process is based on the assumption that the scale of relations can be obtained by pairwise comparison using numerical judgments based on the absolute scale of numbers. Fechner’s psychophysical law is considered as a justification for the existence of the scale of relations. But there are not one, but two psychophysical laws. The existence of two psychophysical laws is a problem of psychophysics. This problem can be solved by the rating method. To overcome the disadvantages of the Analytic hierarchy process, it is also proposed to use the rating method. The use of the rating method makes it possible to use the fundamental scale of the AHP method. As an example, the problem is solved using the traditional AHP scale.


Hydrology ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 10 ◽  
Author(s):  
Umar Lawal Dano

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.


2020 ◽  
Vol 12 (14) ◽  
pp. 5615 ◽  
Author(s):  
Hyungjun Seo ◽  
Seunghwan Myeong

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.


2020 ◽  
Vol 12 (13) ◽  
pp. 5468
Author(s):  
Yeeun Shin ◽  
Suyeon Kim ◽  
Sang-Woo Lee ◽  
Kyungjin An

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.


2020 ◽  
Vol 12 (17) ◽  
pp. 6908 ◽  
Author(s):  
Jianjun Xu ◽  
Lijie Yu ◽  
Rakesh Gupta

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.


2020 ◽  
Vol 29 (9) ◽  
pp. 1202-1213
Author(s):  
Lu Xing ◽  
Pingfang Hu

Hybrid ground source heat pump (GSHP) systems which utilize capillary radiant ceiling are promising to provide a better building comfort while reducing energy consumption. We have developed a GSHP model and an analytic hierarchy process (AHP) method for evaluating the system feasibility. The hybrid GSHP system provides heating/cooling for an office in Wuhan, China. A conventional HVAC system – water chiller + gas boiler (WB) system was also simulated. The results showed that the hybrid system would provide a better indoor comfort and remains at the thermal comfort class I, and the hybrid system would incur a 14.5% lower cost but would provide 43.2% more energy saving. The hybrid GSHP system could reduce 20.23 tons of CO2 emission, while 1.39 tons more SO2, 0.39 tons more NOx and 9.70 tons more Ash emissions could be produced. Overall, the hybrid system performance evaluation result (SPER) was 0.966, and the WB system was 0.746. These SPERs were quantified system evaluation results calculated using the AHP method, which have considered the impacts of the various factors – economic cost, energy saving and environmental impact. The hybrid GSHP system is more adaptable than the WB system and has a good application prospect in this climate region.


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