Analyses on Factors of Job Satisfaction of Long-Term Employed using Analytic Hierarchy Process Technique - Based on the case of Work Innovation Officials in P company and Work Production in S company -

Long-term care hospitals for the elderly are places for the elderly and patients with impaired mobility to live in, but these places face a high risk of great damage in the event of a fire. The standards for fire safety at long-term care hospitals for the elderly are limited to inspection of firefighting facilities and training plans, with no index to evaluate the evacuation plans, facilities for evacuation in case of fire, and the fire response manuals of long-term care hospitals for the elderly. Therefore, this study tries to carry out a basic analysis and establish fire safety evaluation indices for long-term care hospitals for the elderly. To that end, the study derives the importance and priorities of the indices related to fire safety in long-term care hospitals for the elderly through an analytic hierarchy process questionnaire surveying 44 firefighting experts. Finally, considering the importance and priorities of the indices, this study presents fire safety evaluation standards (drafts) for long-term care hospitals for the elderly.

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Combined Artificial Neural Network/Fuzzy modelling to optimize the Prototype of Concentrating Solar Tower using Analytic Hierarchy Process Technique

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s0218488521500409 ◽

2021 ◽

Author(s):

Azzam A. Farran ◽

Abdullah M. Abusorrah ◽

Nidal H. Abu-Hamdeh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Fuzzy Modelling ◽

Process Technique ◽

Artificial Neural ◽

Hierarchy Process

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PENERAPAN PARK AND RIDE DI STASIUN BEKASI

Jurnal Tataloka ◽

10.14710/tataloka.17.3.172-185 ◽

2015 ◽

Vol 17 (3) ◽

pp. 172

Author(s):

Mega Suryandari ◽

Achmad Wisakcono ◽

Imma Widyawati Agustin

Keyword(s):

Analytic Hierarchy Process ◽

User Perception ◽

Short Term ◽

Kano Model ◽

Analytic Hierarchy ◽

Park And Ride ◽

The Analytic Hierarchy Process ◽

Improved Performance ◽

Hierarchy Process

The purpose of this research is to know the implementation of park and ride at BekasiStation. The method of analysis in this research is the assessment of parking performance based onstandards and parking user perception with Kano-model, and the Analytic-Hierarchy-Process(AHP) to analyze the implementation of park and ride at Bekasi Station. The results show thatparking performance doesn’t meet the standard. The problem of parking performance at BekasiStation are view from two perspectives, namely: the peak accumulation which is more than itscapacity and parking index which is more than 1 (one). Improved performance based on userperception parking with Kano Model, the main priority is obvious parking lines and the parkingstandard. The priority of implemention of park and ride at Bekasi Station is provideparking28.48%. From the results of this research, the writter recommends to build a parking in conformitywith the parking user’s perception for short term solution and the implementation of park and ridefor the long term solution.

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A systematic approach for assessment of renewable energy using analytic hierarchy process

Energy Sustainability and Society ◽

10.1186/s13705-019-0219-y ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 5

Author(s):

Gerçek Budak ◽

Xin Chen ◽

Serdar Celik ◽

Berk Ozturk

Keyword(s):

Renewable Energy ◽

Decision Support ◽

Decision Support System ◽

Analytic Hierarchy Process ◽

Support System ◽

Systematic Approach ◽

Analytic Hierarchy ◽

The World ◽

Hierarchy Process

Abstract Background Cities around the world face a great challenge in establishing a long-term strategy for the development of energy alternatives. Previous research tried to identify renewable energy across many different cities. Because each city has unique characteristics in terms of geographic and environmental conditions, population, economic development, and social and political environment, the most sustainable energy source for one city might be the least sustainable for another. Methods This research develops and implements a systematic approach to assess renewable energy and identify the energy alternatives for a city using the analytic hierarchy process. The methodology integrates experts’ input and data analytics and helps decision-makers form long-term strategies for renewable energy development. Results The decision support system is applied to three cities, Chengdu in China, Eskisehir in Turkey, and Chicago in the United States of America. Results show that improving energy efficiency and development of solar and wind energy are the most preferred energy alternatives whereas nuclear and hydroelectric are the least preferred energy alternatives for these three cities. Conclusions The results of this study are in line with decades of research and development in energy alternatives and show a clear direction for the future development of energy alternatives around the world. There are differences in the rankings of energy alternatives for different cities, indicating that it is necessary to apply the decision support system developed in this study to help form customized energy strategies for cities with unique characteristics.

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