AHP Method Research Articles

AHP-MAUT Dalam Sistem Pendukung Keputusan E-Wallet Terfavorit

E-wallets have increased in use starting from the pandemic period , everything from online shopping through Shoopee, tokopedia, etc. uses electronic money in making transactions. This is done for ease without meeting or making contact with other people. The more widespread the electronic money used, the more types offered include ShoopePay, Gopay, OVO , DANA and others. This results in problems for users in determining which brand to use and which is more effective and profitable for users. This study aims to provide a solution to which e-wallet users have the best advantage to use. In this case the researcher uses a decision support system with predetermined criteria in the form of security, availability, ease of use, additional features, cost and integration with other costs. Assessment Data can be through questionnaires with questionnaire type AHP method, and also AHP method is used to obtain consistency values and eigenvalues of each criterion and alternatives to the criteria. For the calculation of normalization using the death Method to get the value of 1 and 0 as well as the multiplication of the matrix with weights that have been previously obtained by the AHP method. The final result of determining the value is the priority value of the final result which will be the ranking of the favorite e-wallet.

Network-based resilience assessment of an urban rail transit infrastructure with a multi-dimensional performance metric

With urban and public transportation development, the urban rail transit networks (URTN) become increasingly complex, evolving into multi-layer and intricate systems. The operating environment is complex, and the rising frequency of emergencies significantly impacts the entire network. Consequently, the resilient ability of URTN to deal with risk attacks has become an important research field. In this paper, a bilayer URTN model is constructed, encompassing urban and suburban rail transit, proposing the adjacency matrix and the coupling mechanism of subnetworks. Then, the performance of a URTN jointly considering network efficiency, network structure entropy, and the number of trips per unit time is addressed. By considering passenger travel alternatives under disruptions, we develop an improved Logit stochastic user equilibrium (SUE) passenger assignment model based on generalized travel time costs, introducing the failure degree of the stations, to predict passenger flow paths. A multi-dimensional resilience assessment model is proposed using the resilience change curve for attack scenarios and recovery strategies, and a comprehensive network performance system through the AHP method to determine the weight coefficients of indicators. Finally, we present a case study based on the Shanghai URT network to explore the resilience of URTN in the morning peak and simulate the network resilience under different failure scenarios. The results indicate that the proposed model can assess the resilience of the Shanghai MRTN under random and malicious failure, and the former has less comprehensive performance losses and greater resilience. Additionally, the sensitivity analysis is conducted to explore the impact of the number of failed stations, the failure degree of stations, and recovery ability on network resilience. This study provides theoretical support for urban managers and builders regarding network structure and emergency management, and offers relevant suggestions.

Evaluation of low-and middle-income countries according to cardiovascular disease risk factors by using pythagorean fuzzy AHP and TOPSIS methods

BackgroundCardiovascular disease risk factors play a crucial role in determining individuals’ future health status and significantly affect health. This paper aimed to address cardiovascular disease risk factors in low- and middle-income countries using multi-criteria decision-making methods.MethodsIn line with this objective, 22 evaluation criteria were identified. Due to the unequal importance levels of the criteria, the interval-valued Pythagorean Fuzzy AHP (PF-AHP) method was employed for weighting. The TOPSIS method was utilized to rank the countries.ResultsThe application of interval-valued PF-AHP revealed that metabolic, behavioral, and economic factors are more important in contributing to disease risk. Among adults, tobacco use prevalence was identified as the most significant risk factor. According to the TOPSIS method, Lebanon, Jordan, Solomon Islands, Serbia, and Bulgaria ranked highest, while Timor Leste, Benin, Ghana, Niger, and Ethiopia ranked lowest.ConclusionsIdentifying disease risk factors and preventing or reducing risks are crucial in combating cardiovascular diseases. Therefore, it is recommended that countries ranking higher take remedial actions to reduce disease risk.

Increasing Efficiency in Furniture Remanufacturing with AHP and the SECI Model

This article proposes the application of the AHP method in an office furniture remanufacturing company, with the aim of optimizing knowledge retention and management. In particular, it seeks to establish the optimal retrieval route for returned products. To this end, a bibliographic analysis was first carried out, which revealed the scarcity of previous studies on the subject, thus validating the relevance of this work. Subsequently, a practical application of the AHP method was carried out to define the weighting matrix of the evaluation criteria, applied to three specific pieces of furniture, which confirmed the effectiveness of the tool. In a complementary manner, Nonaka and Takeuchi’s SECI model of knowledge management was used, guaranteeing the continuous updating of the matrices and the adequate retention of knowledge in the company. This methodology will increase the volume of remanufactured products and improve operating margins. By reaping both the economic and environmental benefits of this practice, the company will be able to reduce costs, generate additional revenue, improve its corporate image, and build customer loyalty. At the same time, this study promotes the sustainability and sustainable development of this practice within the company and, by extension, in the broader office furniture manufacturing industry. It can serve as a reference for other companies in this sector across different countries.

Navigating and Overcoming Barriers to Digital Energy Transition for Carbon Neutrality in China

As China strives for carbon neutrality, the transition to digital energy systems presents both significant opportunities and formidable challenges. This study investigates the key barriers hindering this transition and the urgent need for effective strategies to address them, raising the critical research question: What are the main obstacles to digital energy adoption in China, and how can these challenges be overcome? In this study, the fuzzy AHP method has been utilized to prioritize barriers and fuzzy WASPAS to evaluate the strategies. Using fuzzy AHP, we found that stakeholder and governance barriers are the most critical, emphasizing issues like misalignment among stakeholders and governance challenges. Following this, financial constraints and technological limitations emerged as other significant barriers, highlighting the need for improved financing mechanisms and robust infrastructure. Through fuzzy WASPAS analysis, the top strategies identified are enhancing public awareness and capacity-building programs, strengthening governance and anti-corruption measures, and increasing investment in green finance. The results emphasize the importance of tackling governance and financial issues alongside technological advancements. Policy implications and recommendations are provided to guide China’s digital energy transition, with suggestions for future research focused on broader regional comparisons and the integration of emerging technologies.

Evaluating the Location of the Park-and-Ride System Using Multi-Criteria Methods: A Systematic Review

The park-and-ride (P&R) system is crucial for urban development and mobility as its strategic location helps to reduce congestion, reduce pollution, and encourage the use of public transport. Various methods have been proposed to determine its optimal location, ranging from algorithms and mathematical equations to multi-criteria approaches that consider a set of criteria and sub-criteria. Multi-criteria methods are diverse, and it is essential to know which methods have been applied to the optimal location of a P&R system. This study addresses the existing gaps in multi-criteria methods used in the localization of a P&R system through a systematic review based on the PRISMA protocol, examining 25 articles published between 2014 and 2024 in Science Direct, Scopus, and Web of Science (WOS). The results highlight that the multi-criteria AHP method is the most relevant and widely used. The criterion of accessibility to public transport is the most important criterion for setting up a P&R system in an urban environment. The flexibility of the multi-criteria AHP method, combined with other factors, makes it relevant in the process of P&R locations. However, the multi-criteria methods found in this research show that a wide range of multi-criteria methods have not yet been applied. Future research should focus on developing comprehensive systems that combine multiple multi-criteria methods, which is essential to optimize mobility solutions adapted to the specific characteristics and objectives of each city in establishing a P&R system.

A Hybrid Fuzzy Evaluation Method for Quantitative Risk Classification of Barrier Lakes Based on an AHP Method Extended by D Numbers

The risk classification of barrier lakes is the key to conducting emergency treatment in a scientific manner. However, risk classification faces difficulties such as a short time for risk evaluation, complex evaluation indicators, difficulty in obtaining information quickly, and quantifying index weights. Based on this, this paper constructs a quantitative risk classification model for barrier lakes based on D-AHP. On the basis of studies on nearly 100 cases of barrier lakes, an eight-factor evaluation index system and quantitative classification are proposed. The methods of rapid calculation of reservoir capacity curve of barrier lakes and intelligent identification of particles on the surface of barrier bodies were developed, which realized the rapid acquisition of eight-factor evaluation index information in an emergency environment. The D-AHP method dealt with inconsistent weight assignment to evaluation factors by experts, which helped achieve weight quantification of eight factors. The risk assessment on 15 barrier lakes such as Tangjiashan barrier lake shows that the conclusions drawn for the risk classification method proposed in this paper are basically consistent with those of the traditional table-lookup method. However, the table-lookup method ignores cumulative loss impacts on the risk level of barrier lakes and considers the extremely severe loss of barrier lakes as a sufficient condition for the evaluation level to be grade I, and thus a deviation in the evaluation. The risk classification method proposed in this paper is more reasonable and reliable.

Multi-Objective Optimization Design of Traditional Soil Dwelling Renovation Based on Analytic Hierarchy Process—Quality Function Deployment—Non-Dominated Sorting Genetic Algorithm II: Case Study in Tuyugou Village in Turpan, Xinjiang

As the socio-economic landscape expands and tourism flourishes, the traditional earthen dwellings of Tuyugou Village, Turpan, Xinjiang, face significant challenges, including low energy efficiency and suboptimal living comfort, necessitating data-driven and scientifically robust renovation strategies. Existing renovation methods, however, often lack empirical support and rely heavily on the subjective judgments of architects, thus hindering the effective preservation and transmission of cultural heritage. This research addresses the renovation of these traditional dwellings by employing the AHP method to systematically evaluate user requirements, with input from diverse stakeholders, including homeowners, tourists, experts, and government authorities. The study then applies the QFD method to construct the House of Quality, translating user needs into specific design attributes; this is followed by a comprehensive quantitative analysis for optimization. A novel multi-objective optimization model (MOP) is introduced, with materials as the central focus, addressing key aspects of engineering, culture, and energy conservation. The NSGA-II algorithm is utilized to generate optimal Pareto solutions, which are then further refined using the entropy-weighted VIKOR method. Among the ten pre-selected renovation solutions, the sixth design plan was identified as the optimal choice, excelling in cost control, cultural integration, and energy performance. Specifically, it achieved a unit construction cost of RMB 340.566/m2, a cultural adaptability score of 1.5364, and an energy cost of RMB 352.793/kWh, thereby demonstrating an effective balance between traditional architectural elements and modern requirements. The objective decision making enabled by the VIKOR method successfully balances cultural preservation with contemporary needs, enhancing both living standards and tourism appeal. This study offers innovative and empirically grounded renovation strategies for traditional dwellings in arid and semi-arid climates, providing a framework that effectively balances cultural preservation and modernization.

Development of Highway Construction Route Selection Based on Ecological Sensitivity Evaluation and Intervention Optimization Strategy Research

Ecological sensitivity is an essential indicator for measuring the degree of ecological fragility of a region, and traditional highway routing ignores the ecological benefits of regional nature, which causes irreversible impacts on the natural environment. Based on the AHP method, this paper carries out a comprehensive assessment of the ecological sensitivity of the K0+000~K56+438 section of the Guanzhuang Tourist Highway in the Zhangjiajie Wuling Mountain Area from 2000 to 2020, and it utilizes the spatial autocorrelation analysis method to reveal the pattern of its spatial and temporal changes in ecological sensitivity. The following results were obtained. (1) The ecological condition of the study area is gradually improving, and the areas with higher sensitivity are mainly distributed in the northeast and southwest of the study area. (2) The ecological sensitivity of the study area has strong spatial autocorrelation, but the autocorrelation has been reduced in recent years, and the distribution of the ecological sensitivity has been gradually discretized. (3) There are problems of high ecological risk and construction difficulty in the traditional highway route selection scheme of the A line. The optimized route selection scheme, the K line, can effectively avoid highly sensitive areas by adjusting the route and bridge settings. Finally, the article proposes engineering construction suitability and ecological restoration strategies for different road sections regarding vegetation cover, landscape risk, and geological hazards. This study establishes a set of comprehensive technical chains for tourism highway routing in ecologically fragile areas based on the spatial and temporal evolution of sensitivity, which provides new ideas for traditional highway routing and is of great significance for maintaining the balance and stability of ecosystems within the road area.

Pemilihan Lokasi TPA Regional untuk Kota Medan dan Kabupaten Deli Serdang

The increase in the rate of development, population growth, and socio-economic activities has triggered an increase in waste generation, which is increasingly complex with conventional waste management that relies on collection, transportation, and disposal. This study aims to find a solution through three main stages: identification of waste conditions, preparation of a decision support system using the AHP Method, and analysis of the area with GIS application. The results of the study show that Limau Mungkur Village, STIM Hilir District, is considered the most appropriate location in the study area. Based on these results, the concept of selecting the criteria of Land Use, Hydrology, Groundwater Level Depth, Flood-prone Area, Settlement Distance, Zone Slope, Geology and Airport Distance became a determinant in the selection of location alternatives.

Multi-criteria approach for weights definition of sustainability indicators in the swine supply chain

Goal: This study presents a four-steps methodology for the definition of the weights of sustainable indicators in the Swine Supply Chain (SSC) considering the Triple Bottom-Line (TBL) perspective. Design/Methodology/Approach: The methodology proposed was based on the Bellagio principles that guide the definition of importance levels for TBL criteria. It was applied to the swine supply chain using Saaty’s scale and information obtained from managers of two agribusiness companies, adjusted by the AHP method. Results: The results showed the relevance of an appropriate definition of the preferences of decision-makers to decide on the best actions towards environmental, economic, and social sustainability. Limitations: The limitations of the proposed model are mainly its subjective nature. Despite being necessary in multi-criteria methods, it could be a limitation if more quantitative indicators are relevant or demanded. Nevertheless, the proposed methodology also provides a quantitative perspective, as a result of using the Saaty scale. Practical implications: The definition and application of importance levels within a TBL-based model can help managers to prioritize environmental, social, and/or economic dimensions under a large diversity of alternatives toward more sustainable scenarios. The AHP method used in this work is a hierarchy method, particularly appropriate for defining weights that are essentially compensatory by nature. Originality/value: The correct definition and weight of the different dimensions, sub-dimensions, and respective indicators is currently one relevant gap in the literature, limiting the design and prioritization of corrective actions in each stage of the SSC and in the different dimensions of the TBL.

Spatial Formation Potential of the Smart City Concept: New Smart Cities and their Evaluation with the AHP Method

Spatial Formation Potential of the Smart City Concept: New Smart Cities and their Evaluation with the AHP Method

The Use of a Multi-Criteria Decision Analysis Method to Select the Most Favourable Type of Fish Pass in Mountainous Areas

Fish passes are a key element enabling the migration of aquatic organisms in the context of restrictions resulting from the presence of weirs. Multi-criteria decision analysis, AHP, and Rembrandt methods were used to assess the effectiveness of fish passes on mountain rivers. Three common types of fish passes were considered: slotted fish pass, block ramps, and a circulation channel with boulders. The results of the study indicated that block ramps proved to be the most favourable solution, achieving the highest preference values in both methods (Rembrandt: 0.77, AHP: 0.63). The key factors influencing the effectiveness of the fish passes are the availability of space and the water requirements, which reached values of 0.38 and 0.27 in the Rembrandt method and 0.33 and 0.28 in the AHP method, respectively. The differences between the results of both methods were minimal and did not have a significant impact on the final choice. The discussion emphasised the advantage of nature-like fish passes, such as block ramps, which better preserve the ecological continuity of rivers and can be more easily adapted to local hydrological conditions. The study also indicated the need for continuous monitoring of the fish passes and their optimisation to reduce problems related to sedimentation and flow blocking. The obtained results can provide a valuable basis for decision making in the planning and construction of fish passes, especially in demanding mountainous conditions, contributing to improving the effectiveness of fish migration and minimising negative impacts on the natural environment.

Measurement and Improvement of Fresh Milk Supply Chain Performance (Case Study of XYZ Farmers Group, Bogor Regency)

The challenges in the small-scale dairy industry often stem from outdated business management practices and a lack of comprehensive performance evaluation. This study adopts a structural approach by analyzing the performance of the fresh milk supply chain within Farmers Group XYZ, located inBogor Regency. We employed the SCOR and AHP methods for our performance analysis. Data were garnered through questionnaires, interviews, and observations. The findings reveal that the overall performance of the fresh milk supply chain was moderate, with performance scores of 84.25% forfeed suppliers, 77.47% for Farmers Group XYZ, and 82.05% for consumers. Notably, areas requiring enhancement include reliability, responsiveness, and cost-efficiency. Consequently, we have developed strategic recommendations aimed at augmenting supply chain effectiveness. These include enhancing the transportation system to ensure timely deliveries (Reliability), shortening order fulfillment times and improving the flexibility to adapt to demand fluctuations (Responsiveness), and optimizing logistics and storage to reduce costs (Cost). Implementing these strategies will bolster collaboration and fortify relationships among suppliers, producers, and consumers, contributing to a more robust dairy industry.

Analysis of the Unsafe Road User Behavior in Ternate City Using AHP Method

Unsafe road user behavior is something that can affect the implementation of transportation as data from the police states that 61% of accidents are caused by human factors. This study aims to determine the types and factors that cause violations committed by road users who have passed intersection three (Jalan Hasan Esa-Jalan Ahmad Yani) and (Jalan Pemuda-Jalan A.M Kamaruddin) along with the handling of these violations. The results of the analysis found that the most common type of violation was not using a rear helmet by 88.8% caused by not having a helmet. Meanwhile, based on the analysis with the AHP method, the violation that must be prioritized in handling is against the flow with priority alternative handling, including education, sanctions and training.

Web-based Land Suitability Analysis for Horticulture Crop (Kiwi) in Champawat districts, Uttrakhand using MCDM and Geospatial Analysis

Identifying the suitability of a horticulture fruit with a defined area is an active research area, it has been attempted through different approaches, surveying and geographic information system are the two most popular techniques utilized extensively for this activity across the globe. GIS has its proven advantage over the field surveys based approach and modern GIS tools offers automation of the entire work flow for this activity. This study presents a web-based land suitability analysis for kiwi fruit cultivation in the Champawat District of Uttarakhand, using AHP, TOPSIS, and Ensemble modeling in conjunction with Multi-Criteria Decision Making (MCDM) and Geospatial Analysis. Land suitability was evaluated across various classes based on nine criteria viz. elevation, chilling hours, land use/land cover (LULC), soil texture, soil depth, temperature, rainfall, slope, and aspect. The AHP method identified 26.09 hectares as highly suitable, 14,606.19 hectares as suitable, 31,899.77 hectares as moderately suitable, 8,807.99 hectares as less suitable, and 192.23 hectares as not suitable. TOPSIS results showed 4,294.32 hectares as highly suitable, 14,193.54 hectares as suitable, 11,782.52 hectares as moderately suitable, and 2,399.21 hectares as less suitable. The ensemble method indicated 24.15 hectares as highly suitable, 8,763.51 hectares as suitable, 13,785.13 hectares as moderately suitable, 2,472.13 hectares as less suitable, and 191.94 hectares as not suitable. Integrating these findings revealed that the ensemble approach closely aligns with AHP in identifying highly suitable and less suitable areas, while TOPSIS emphasizes moderate suitability. This synthesis provides valuable insights for land use planning for kiwi cultivation. Additionally, an online spatial decision support system (SDSS) was developed using the Django framework, offering a modular and secure environment for informed decision-making.

Assessing the adoption level of solar PV installations, on district scale of urban environment

This study addresses a research gap by implementing a novel methodology that combines GIS and MCDM techniques to evaluate photovoltaic (PV) potential at an urban scale, specifically within Riga, Latvia. Utilizing the AHP and MABAC methods, the research integrates technical, social, and economic criteria to rank urban districts based on their suitability for PV installations. 58 different districts were evaluated according to technical and socioeconomic criteria and were ranked through the MABAC MCDM methodology, from most preferable to less, on a PV adoption level. This comprehensive approach not only identifies the most promising areas for rooftop PV deployment but also emphasizes the importance of considering socioeconomic factors to enhance equity in renewable energy adoption. The findings provide valuable insights for urban planners and policymakers, demonstrating a systematic, data-driven method to promote sustainable energy initiatives in urban environments.

A DECISION SUPPORT SYSTEM FOR PERFORMANCE ASSESSMENT OF VILLAGE EQUIPMENT USING HYBRID MULTI CRITERIA DECISION MAKING (MCDM) METHOD BETWEEN AHP AND TOPSIS IN BRINGIN VILLAGE,JUWANA PATI

ABSTRACTThe Village Apparatus is a staff element that assists the Village Head in policy formulation and coordination, which is organized in the village secretariat and supporting the Village Head's duties in implementing policies, which are organized in the form of technical implementers and territorial elements. However, in reality, the performance of village officials in Bringin Village, Juwana Pati is still lacking and needs to be addressed in order to be optimal. Interviews conducted with the village head of Bringin, Juwana Pati said that the performance of village officials is still not considered optimal and good in a stable manner, so an evaluation is needed in the performance of village officials in Bringin Village, Juwana Pati. Therefore, a system is needed to evaluate, assess, and improve the performance of village officials in Bringin Village, Juwana Pati. The purpose of this study is to determine the results of the implementation of the Hybrid AHP and TOPSIS methods on a decision support system in helping the village head to conduct performance appraisals on village officials in Bringin Village, Juwana Pati. The system development method used is waterfall. The results of the implementation of the two methods concluded that the system built has been able to produce recommendations for determining the performance appraisal of village officials and meet functional needs. This shows that the AHP and TOPSIS methods can be used to solve problems related to determining the performance assessment of village officials by producing the best alternative based on the highest/largest preference value.

Penerapan metode rating scale dengan pendekatan Analytical Hierarchy Process (AHP) pada penilaian kinerja karyawan PT. Omega Mas

This study evaluates the employee performance of PT. Omega Mas using the AHP method and rating scale. Conducted from December 2023 to February 2024, it involved 133 employees from 14 departments. The criteria included maturity, work attitude, teamwork, discipline, and work results. The results showed that "work results" had the highest weight (0.51), with "quantitative work" as the primary sub-criterion. From the performance assessment, 6 employees were categorized as "very good," 47 as "good," and 80 as "sufficient." The conclusion is that this evaluation helps the company improve its human resources quality and competitiveness in the market.

A Study on Illegal Wildlife Trade in Tanzania Based on Multi-source Data Fusion

This study on the illegal wildlife trade crisis in Tanzania is methodically divided into three phases: planning, policy, and application. Initially, data preprocessing methods such as null processing, interpolation, and max-min normalization were applied to construct a client impact assessment model utilizing AHP and hierarchical evaluation methods. WWF emerged as the most influential client. The policy phase introduced a comprehensive five-year strategy across economic, social, cultural, and environmental sectors. This strategy was supported by three quantitative models, which were used to evaluate the impact of the illegal wildlife trade. The economic model assessed the contribution to GDP growth from the integration of illegal trappers into the workforce. The social model applied crime economics to optimize time allocation under uncertainty. The cultural impact was measured through educational guidelines and a literacy score. Finally, environmental policies were analyzed by adjusting nature reserve areas and poaching difficulty parameter Z. In the application phase, Tanzania's National Forest Park was selected to serve as a pilot site for the models, with the projected outcomes including an increase in species richness and a reduction in poaching ease over a five-year period.