Application Of Analytic Hierarchy Process Research Articles

The application of analytical hierarchy process to assess adaptation strategies for flood and landslides risks: A case study of a multi-risk area community

The increasing frequency of flood-related emergencies has heightened discussions on climate adaptation and risk management. Despite investments in infrastructure, early warning systems, urban planning improvements, and awareness initiatives, sustained attention and action are essential. The efficacy of preventive measures relies heavily on local community decisions and their cooperation with authorities, impacting the entire risk management cycle. This study investigates the factors influencing flood and landslide adaptation strategies and their perception by citizens in vulnerable areas, aiming to identify key variables that shape citizen behaviour for effective planning and management of adaptation actions. Focusing on Ischia Island, Italy, a multi-risk area, the study applied the Analytic Hierarchy Process (AHP) in focus groups to achieve three objectives: i) Highlight the critical role of citizen perceptions in forming adaptation strategies, emphasizing the need for cohesive efforts among policymakers, experts, and communities to enhance resilience. ii) Examine residents' views on flood and landslide risks to understand local concerns and vulnerabilities. iii) Use multi-criteria analysis to evaluate the importance of factors shaping adaptation strategies, providing a systematic framework for decision-making in disaster risk management. Findings reveal an optimism bias in respondents' perceptions of their home security despite recognizing the area's vulnerability and mistrust in authorities. Environmental and social factors are deemed most important, with environmental strategies focused on harm reduction and local environment enhancement, and social strategies emphasizing information dissemination and mortality reduction. This research offers valuable insights into community perceptions and factors influencing adaptation strategies for flood and landslide risks.

Application of Analytical Hierarchy Process (AHP) and Multi-Criteria Evaluation (MCE) for a case study and scenario assessment of flood risk in the White Volta Basin of the Upper East Region, Ghana

In recent years, Ghana, particularly the inhabitants of the Upper East Region, has experienced profound impact of flooding, largely attributable to the complex interplay of climatic factors. This research embarks on a comprehensive assessment of flood risk zones nestled within the White Volta Basin, situated in the Upper East Region. The study employs advanced cartographic methodologies and uses Geographic Information Systems (GIS) in conjunction with the Analytical Hierarchy Process (AHP) to systematically categorize areas susceptible to inundation. Leveraging geospatial datasets acquired from satellites such as Landsat and Sentinel. Topographic, slope, and Land Use/Land Cover (LULC) maps have been constructed. The empirical findings underscore the susceptibility of specific regions, including the Talensi District, territories within Bawku West, and some segments of the Bolgatanga Municipal area, to escalated flood risk. Additionally, the research underscores the high vulnerability of communities such as Nunku, Tolla, Zaare, Pwalugu, Balungu, Winkongo, Biung, and Tongo to the negative impact of inundation. Significantly, the study unveils a pivotal factor in the perpetuation of flood devastation—namely, the role of water discharge. This intrinsic linkage between discharge rates and flood occurrences underscores the pressing need to address this critical component in mitigation strategies to reduce adverse impacts on the basin’s resident communities. The insights derived from the study offer some level of hope for residents, providing essential knowledge concerning flood-prone areas and optimal timing for agricultural activities to safeguard their cherished livelihoods.

Review of The Financial Health of Bank During Increasing Foreclosed Assets and The Application of Analytic Hierarchy Process (AHP) in Selecting Strategies to Reduce Them

PT Bank Laju International Tbk (the Bank) has struggled with its increased foreclosed assets, particularly those originating from mortgage loans, which could affect its financial health. The research assessed Bank’s financial health using Risk Based Bank Rating (RBBR) framework by analysing key financial ratios and investigating the root causes of rising foreclosed assets through Fishbone and Pareto analysis. Key factors include customer income instability, slow progress in selling foreclosed assets, and lack of insurance protection during economic downturns. To select effective strategies for managing foreclosed assets, the research utilized Analytic Hierarchy Process (AHP), a Multi-Criteria Decision-Making method, to evaluate multiple alternatives based on various criteria, which were derived from Focus Group Discussion (FGD) with Bank’s officers, who directly involved in mortgage loans and foreclosed assets activities, also reference with Bank’s SWOT analysis. The research evaluated three alternatives strategy: Protection Insurance for Customer’s Mortgage Loans. Actively Partnering with property agents to accelerate sale of foreclosed assets as-is. Collaborating with property agents to renovate foreclosed assets. The result showed that despite the increase in foreclosed assets, the Bank remains financially sound, with key financial ratios within acceptable regulatory limits. AHP analysis revealed that alternative 1 stands in first place to be prioritized, followed by alternative 2, however between both alternatives indicates a very small difference in prioritization weight, which means that both strategies are important to be executed and prioritized. Proposal to implement both alternatives in parallel would be a very effective strategy, where alternative 1 conduct as Preventive Strategy in preventing customer’s mortgage loans defaults, while alternative 2 as Corrective Strategy in lowering foreclosed assets volume. Alternative 3 acts as a complement strategy, where renovating foreclosed assets could facilitate quicker sales, however it’ll take longer time for renovation itself.

Decision making with analytical hierarchy process approach to select feedstock type for bioethanol production: Is 3G more sustainable than others?

Feedstock selection for bioethanol production is challenging because of the multidimensional considerations of the wide range of resources. The present study applies the analytical hierarchy process (AHP) for the first time to select the most sustainable feedstock type for bioethanol production based on 28 sub-criteria categorized under four main criteria, including technical, economic, environmental, and social. The method included the use of literature surveys, brainstorming, and expert consultation. Expert opinions revealed that the most important sub-criteria within these four main criteria are fuel product quality, value-added by-product formation, impact on biodiversity, and contribution to the circular economy. Overall scores suggest that the third-generation feedstock, which is algal biomass, is economically more sustainable and environmentally friendly than the other feedstocks evaluated in the present study. Because of the environmental damage caused by chemicals used for pretreatment, the score on the environmental aspect of lignocellulosic bioethanol is slightly lower than that of algal bioethanol. The application of AHP enabled the comparison of three different generations of bioethanol production in a scientifically acceptable manner and reached a reliable decision that can be used by governments and stakeholders in establishing future renewable energy policies.

STRATEGIC MARKET ENTRY DECISION-MAKING IN AFRICA'S SATELLITE SECTOR: A COMPARATIVE ANALYSIS USING TOPSIS AND AHP METHODS

This paper investigates the strategic decision-making process for market entry into Africa's satellite telecommunications sector using two well-established multi-criteria decision-making (MCDM) methods: the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytic Hierarchy Process (AHP). Given the complex and varied nature of the African market, these methodologies are applied to evaluate multiple countries based on criteria such as market potential, regulatory compliance, and infrastructural development. By conducting a parallel analysis with TOPSIS and AHP, this study not only identifies Kenya as the most suitable market for entry but also validates the consistency and reliability of both methods in handling decision-making complexities in emerging markets. The findings highlight the importance of systematic and objective criteria evaluation in reducing uncertainty and enhancing decision quality in international business strategies. This paper contributes to the strategic management and international business literature by demonstrating the practical application and comparative effectiveness of TOPSIS and AHP in a high-stakes decision-making scenario. Keywords: Strategic Market Entry, Satellite Telecommunications, TOPSIS, Analytic Hierarchy Process (AHP), Multi-Criteria Decision-Making (MCDM). Decision-Making Framework

Strategic management in digital transformation: prioritizing strategic initiatives through Analytic Hierarchy Process (AHP) in Indonesia’s services sector

Purpose: The rapid pace of digital transformation has significantly impacted the IT services sector, particularly in emerging markets, such as Indonesia. This thesis explores the strategic challenges faced by Indonesian IT service providers as they navigate a competitive landscape characterized by evolving customer demands, technological advancements, and market dynamics. This research aims to prioritize strategic initiatives that align with market needs and enhance the competitive positioning of these providers. Research Methodology: By integrating strategic management frameworks such as Porter’s Five Forces, Value Chain Analysis, and SWOT Analysis with the Analytic Hierarchy Process (AHP), this study addresses the issue of stagnant revenue in PT ABC, a leading IT service provider in Indonesia. The findings indicate that AI-based product innovation and the development of low-code solutions are critical strategies for driving sustainable growth and meeting the increasing demand for advanced technological solutions. Limitations: This study underscores the importance of customer-centric approaches and continuous adaptation to maintain a competitive edge in a volatile, uncertain, complex, and ambiguous (VUCA) environment. Contributions: This research contributes to the strategic management literature by demonstrating the practical application of AHP in the context of digital transformation within the IT services sector, and provides actionable insights for IT service providers in emerging markets facing similar challenges.

Application of Analytical Hierarchy Process in evaluation of neotectonic variability on drainage basin systems in the Edea – Eseka region (SW Cameroon Atlantic Coast)

Complex geology and tectonics of the SW Cameroon Atlantic Coast are responsible for the present-day landscapes of the Edea – Eseka Region (EER). The EER is tectonically active and shows differential tectonic uplift, contrasting relief, variations in erosion rates, in river incision, and in channel gradient. Drainage system divides are dynamic features of a landscape that migrate over time during the development of river networks. To study the neotectonic variability in this region, we investigate the drainage river system and the topographic expression of active regional tectonics across the EER. From the Digital elevation model (DEM, 30 m pixel resolution) using Geographic Information System (GIS) interpretive techniques, we extracted eleven morphometric parameters of thirty-two main drainage basins which were combined with Analytical Hierarchy Process (AHP) method. The inter-relationships between these indices grouped into four categories such as watershed geometry, relief characteristics, drainage texture analysis and regional tilting/uplift; can determine the influence of regional tectonic activity in the shape development of drainage basins. The results of the landscape analysis reveal significant variations of the morphometric parameters within the study area indicate a strong tectonic control. From the AHP values, the area is subdivided into high (∼25 %), moderate (∼43.75 %), and low (∼31.25 %) regional tectonic classes. The spatial distribution of different AHP classes shows a gradational pattern from coast to hinterland, suggesting a gradual decrease (from west to east) in the neotectonic activity in the EER drainage basin systems. The moderate-to-high neotectonic activity (∼68.75 %), demonstrates the complexity of the EER unstable tectonic character due to lithospheric mantle dynamism/asthenospheric upwelling as well as the Cameroon Volcanic Line (CVL) activity.

Application of Analytical Hierarchy Process (AHP) As a Predictor of Repeat Patronage of Betting Brands among Youths in Southwest Nigeria

The study evaluates how Analytical Hierarchy Process (AHP) can be used in predicting and ranking factors influencing repeat patronage of betting brands among youths in Southwest, Nigeria. In an attempt to achieve this, a descriptive survey design was chosen for this study through the administration of questionnaire in collecting data from the sampled population of the study. The study population is non deterministic, since it involves all youths participating in betting across Southwest, Nigeria and no official record of such participation exists anywhere in the country. The study made use of the ten most ranked physical betting platforms in Nigeria, viz: Betway, Parimatch, BetNaija, 1XBet, 22 Bet, Bet 365, Betwinner, Melbet, Wazobet and Nairabet as the study sample frame as well as youths of the six major cities across Southwest States in Nigeria. T he study population is 3,620 youths, in the proportion of 665, 852, 347, 508, 645 and 603 across the six cities chosen. The total population was considered as sample. Hence, an adoption of census sampling technique. The study found that, unemployment comes first, followed by love for sports, hope of winning in future, peer influence, promised bonus and technological advancement in that order.

The Study of APIPA Model Concept Development through the Application of Analytical Hierarchy Process (AHP)

Improving the quality of teacher performance programs certainly requires the important role of teachers and school leaders. The role of teachers can be seen in the implementation of performance programs which require systematic and structured evaluation of performance programs. The results of the evaluation and monitoring of the implementation of the teacher performance program by school leaders are used as material for consideration in making decisions about the quality level of the teacher performance program. Making this decision is very difficult for a school leader in evaluating teacher performance programs. In this case, a modified program evaluation was developed by the CIPP model program evaluation with ALKIN model program evaluation. The research used Development Research (R&D) using 4D design (Define, Design, Development, Dissemination). The Define stage conducts a literature review regarding weaknesses in the CIPP and ALKIN model program evaluation syntax. The Design stage prepares the topology related to the main ideas of the program evaluation development syntax. The Development stage carries out operational definitions and indicators for each program evaluation syntax. The dissemination stage carries out an expert judgment or assessment of the experts who are analyzed using the analytical Hierarchical Process (AHP) to determine the consistency of the program evaluation development concept. The results using AHP are consistent with the concept of developing the APIPA model program evaluation which has the syntax Assessment, Planning, Implementation, Product, and Appreciation for evaluating teacher performance programs.

Decision making in human resource management: a systematic review of the applications of analytic hierarchy process.

The Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), and Analytic Network Process (ANP) methods are widely used for decision-making across various fields, and have shown success in numerous applications within human resource management (HRM). The purpose of this study is to present a systematic literature review on the applications of AHP, FAHP, and ANP in human resource management. The search process encompassed two main online databases, Scopus and Web of Science. This research covers a total of 180 application papers. To help readers extract quick and meaningful information, references are summarized in tabular format. The results showed that these methods have been applied in various domains of HRM such as performance management and appraisal, selecting human resources, talent attraction and retention, intellectual capital, workplace safety, reward management, e-HRM, green HRM, etc. To the best of our knowledge, no comprehensive research review has yet been conducted on the applications of AHP in HRM.

Analysing the impact of climate change on dairy farming as perceived by the women farmers: Application of analytical hierarchy process

Impact of climate change on various sectors across the globe is quite evident and the dairy sector is no exemption to the threats of changing climate. Most of the activities in dairy farming are performed by women. Dairy farming is a source of sustainable income for the women in rural areas. Women are more vulnerable to the adverse effects of climate change due to their socio-economic position in the society. So, an attempt was made to capture the impacts of climate change on dairy farming from women farmers’ perspective. A total of 360 women farmers were approached for the study. Analytical hierarchy process was used to identify which of the four components and 16 sub-components of dairy farming are most affected due to changing climate. Analysis of farmers’ responses revealed that productive performance was perceived to be the most affected component and average daily milk yield was perceived to be greatly affected due changes in climate.

Evaluation of Indian Railway’s Supply Chain Parameters for Improved Sustainability Under Industry 4.0 Transformation: An Application of AHP and TOPSIS

Indian Railways (IR) is India’s major public transportation system and one of the world’s largest and busiest rail networks. The Indian government is in charge of owning and running it. This paper presents an alternative approach to measuring the overall operational performance of the Indian Railway supply chain. The operation of Indian railways from a supply chain perspective needs to be analyzed to improve customer service and inventory management.Industry 4.0 is used for the easy processing of individual transportation components efficiently and safely. The study is useful for the Indian Railways because it enables the classification of various issues related to government procurement. A supply chain model is proposed to assess service expectations and quality. Various issues (such as the integration system, financial behavior, and management perspective) related to supply chain management have been identified, and various factors affecting availability, railway service quality, and reliability have been analyzed for managing its supply chain. The Analytical Hierarchy Process (AHP) and TOPSIS have been used to examine inventory-related difficulties and make recommendations for the public procurement environment. The result of the AHP method showed that Model 1 (Integration System) has the highest Max_C_weight of 0.5348, followed by Model 2 (Financial Behavior, 0.381695) and Model 3 (Management Perspective, 0.399443). The consistency ratio (CR) for all three models was also less than 0.1. Further, the TOPSIS method was used to validate the accuracy of AHP results and found that the model is significant. This result will help the decision-makers at Indian Railways design an assessment and relationship management model that will help them make procurement the driving force behind their supply chain.As per COP27, Industry 4.0 will help to achieve net zero emissions. The net carbon emissions will be reduced to zero, which will result in a clean environment.To improve sustainability within the framework of the Industry 4.0 transition, the research aimed to evaluate the Indian Railway’s supply chain metrics. Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are methodologies used in this assessment.

Modelling and optimization of an existing onshore gas gathering network using PIPESIM

Pakistan has limited natural gas reserves, and most are found onshore. This article reports on the problems of an onshore gas gathering network (GGN) analysed through steady-state simulation modelling using PIPESIM software. The research methodology incorporates a comprehensive steady-state hydraulic analysis considering fluid flowing velocity limitations, liquid holdup and slugging along with other issues faced by gas gathering networks. The steady-state hydraulic analysis has led us to pinpoint specific GGN pipelines facing critically low gas velocities and consequent liquid holdup. Addressing these issues involved application of PIPESIM software for modelling, considering various operating schemes of gas-producing wells and their associated pipelines. To select an optimal operating scheme, the study utilized the Analytic Hierarchy Process (AHP) for operational optimization, to identify the most effective solution for reduced liquid holdup, improving production, and ensuring the safe operation among available alternatives. Findings from our hydraulic analysis highlight the importance of reducing GGN outlet pressure to mitigate challenges associated with liquid holdup which causes slugging and back pressure effect at source leading to low production and poor performance of the GGN. Study of three alternative cases reveals that decreasing outlet pressure lowers the liquid holdup, improve gas flowing velocities, and enhanced overall production. These findings validate our hypothesis that reducing GGN outlet pressure is a viable strategy to lower the liquid holdup in pipelines. This research offers significant value by providing a comprehensive solution to GGN liquid holdup, low flowing velocities, back pressure and low production challenges. The integration of steady-state hydraulic analysis, simulation modelling with PIPESIM, and the application of AHP for optimization contributes novel insights into the optimization of operation of gas gathering networks. Emphasizing the reduction of liquid holdup and enhancing production through outlet pressure adjustments offers a practical framework for optimizing the functionality of gas gathering networks.

Evaluating lecturer performance in Vietnam: An application of fuzzy AHP and fuzzy TOPSIS methods

Higher education is regarded as being of paramount importance in Vietnam and as being essential to raising the level of the country's labor force and promoting economic progress. Evaluation of lecturers is one of the institution's activities and a crucial component of managing human resources in higher education institutions. How to evaluate faculty members' overall performance using a range of criteria is one of the key evaluation-related challenges. This study presents a method that uses fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to assess and rank the performance of lecturers. Specifically, the evaluation framework is developed by identifying criteria and sub-criteria based on a comprehensive review of existing literature. Following that, the fuzzy AHP approach is used to determine the weights of the criteria and sub-criteria using the pairwise comparisons. The Fuzzy TOPSIS approach is employed to assess and prioritize lecturers identified through expert evaluation. When applied in group decision-making, utilizing fuzzy AHP and fuzzy TOPSIS promotes agreement among decision-makers and diminishes uncertainty in decision-making processes. The utilization of the multiple criterion measurement approach can then be used to carry out the evaluation. The suggested framework is also demonstrated via a case study. The use of this framework can improve the evaluation's objectivity, accuracy, and scientific methodology. It is believed that this work will assist managers of higher education institutions improve their standards for educational quality.

Ranking and rating halal-certified restaurants in Malaysia: an application of AHP

PurposeThe purpose of the study is to measure the performance level of halal compliance practices by the halal-certified restaurants in Malaysia and rank and rate them based on several dimensions of halal compliance.Design/methodology/approachA total of 320 halal restaurants were surveyed. The absolute measurement approach of the analytic hierarchy process (AHP) was applied to rank and rate the restaurants. Finally, ANOVA and independent t-test were applied to assess if there is any significant difference in halal compliance performance between different groups of the respondents.FindingsThe AHP application resulted in only 19 restaurants (5.94%) achieving an “Excellent” rating. A significant difference has been observed between different groups of the respondents regarding their halal compliance performance.Research limitations/implicationsAn onsite audit and ranking of all the restaurants in Malaysia were beyond the scope of the study. The research was able to rank only 320 restaurants across Malaysia.Practical implicationsThe findings and methodology of the study will provide policymakers with a clear roadmap for establishing a comprehensive rating system in the fields of the halal food industry to enhance the quality and integrity of the halal food management system.Originality/valueTo the best of the authors’ knowledge, this is the first time an empirical approach, like AHP, has been used to determine how Malaysia’s halal-certified restaurants stack up against one another. Similar studies can be carried out in other sectors of the halal industry as well as in similar context.

기초지방자치단체 지역문화재단의 사업 우선순위 설정에 관한 연구 - 제도주의적 관점에서 계층화 분석법의 적용을 중심으로

This study investigates the prioritization in the operation and project implementation of South Korean local cultural foundations using the Analytic Hierarchy Process (AHP), a multi-criteria decision-making methodology. The purpose of this research is to provide insights into the decision-making processes of local cultural foundation personnel, grounded in the theoretical implications of institutionalism, including historical institutionalism, sociological institutionalism, and rational choice institutionalism. The contributions of this research are twofold: first, it demonstrates the applicability of AHP in multi-layered decision-making analysis, contributing to academic discourse on institutionalism and cultural administration and policy; and second, it offers practical insights to facilitate decision-making processes suitable for the environmental, situational, and conditional contexts of South Korean local cultural foundations. This study is anticipated to be academically and practically beneficial in analyzing decision-making for the promotion of regional culture in South Korea.

An application of AHP and fuzzy entropy-TOPSIS methods to optimize upstream petroleum investment in representative African basins

The growing demand of China for petroleum heightens the complexities and prospects in worldwide investments, necessitating refined and strategic investment approaches. Evaluating the potential of different hydrocarbon-potential areas needs more comprehensive scientific evaluation models. This study aims to establish a Comprehensive Investment Potential of Petroleum (CIPP) framework for targeted sedimentary basins by using an integrated approach that combines the Analytic Hierarchy Process (AHP) and the Entropy-Weighted Fuzzy TOPSIS models. We focus particularly on representative African basins to inform strategic decision-making for the Chinese overseas petroleum enterprises. We firstly interpret the geological condition of these petroleum basins by researching multiple databases and proprietary research data. Then, we use a combined approach of ranking-classification-correlation analysis to evaluate 17 representative basins, taking into account both overall and individual key performance indicators. Our findings suggest the Illizi Basin and the Offshore Côte d'Ivoire Basin could be the most favorable for investment and development. Those like Southwest African Basin warrant cautious consideration. The new evaluation model and computational workflow offer an effective workflow for assessing multiple petroleum basins. This work provides not just practical investment strategies for companies aiming for African petroleum basins, but also a transferable methodology for optimizing investment decisions.

Optimizing Supplier Selection in Indonesia Through Analytical Hierarchy Process (AHP)

This study introduces a structured multi-criteria decision-making framework using the Analytical Hierarchy Process (AHP), applied to evaluate suppliers based on quality, price, quantity of supply, and plantation area. Effective supplier selection is crucial for maintaining supply chain efficiency. By employing the Expert Choice 11 software, the AHP method quantitatively assessed each criterion, resulting in a definitive ranking of suppliers. The analysis highlighted the paramount importance of quality in supplier selection, assigning it the highest weight (0.565). The outcomes reveal that a meticulous application of AHP significantly enhances decision-making in supplier selection, suggesting its broader applicability in global supply chain management contexts to improve operational efficacy and resilience. Highlights: Structured Evaluation: The AHP method provides a systematic approach to supplier assessment. Emphasis on Quality: Quality is the dominant criterion in supplier selection with the highest weight. Operational Improvement: Implementing AHP enhances supply chain efficiency and decision accuracy. Keywords: Supplier Selection, Analytical Hierarchy Process, Expert Choice

Consistency Improvement in the Analytic Hierarchy Process

Consistency checking is one of the reasons for the Analytic Hierarchy Process (AHP) leadership in publications on multiple criteria decision-making (MCDM). Consistency is a measure of the quality of data input in the AHP. The theory of AHP provides indicators for the consistency of data. When an indicator is out of the desired interval, the data must be reviewed. This article presents a method for improving the consistency of reviewing the data input in an AHP application. First, a conventional literature review is presented on the theme. Then, an innovative tool of artificial intelligence is shown to confirm the main result of the conventional review: this topic is still attracting interest from AHP and MCDM researchers. Finally, a simple technique for consistency improvement is presented and illustrated with a practical case of MCDM: supplier selection by a company.

Application of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) in flood hazard analysis in the Rawa Pening Sub-Watershed, Indonesia

The watershed is one of the ecological functional units in a region. The Rawa Pening Sub-Watershed, located in Semarang Regency and its surroundings, is the upper region of the Tuntang Watershed, which experiences periodic floods. Flood hazard disasters occur due to several contributing factors. This phenomenon significantly affects the residents in the Rawa Pening Sub-Watershed, particularly in the agricultural sector, specifically in the local paddy fields. With the development of Geographic Information Systems (GIS) in disaster management, it is possible to provide preliminary information on predicting flood hazard zones, particularly in the Rawa Pening Sub-Watershed. This study aimed to determine the most influential parameters and areas highly prone to flood hazards in the Rawa Pening Sub-Watershed. Nine parameters, including elevation, slope, curvature, precipitation, land use, soil type, distance to the river, Normalized Difference Vegetation Index, and Topographic Wetness Index, were analyzed based on their respective roles. The Analytical Hierarchy Process (AHP) and Ordered Weighted Averaging (OWA) techniques were employed to obtain the flood hazard map. The nine parameters were weighted according to a Forum Group Discussion. The results yielded a flood hazard map divided into five zones: very low (3451,64 Ha / 13,16%), low (5024,29 Ha / 19,16%), moderate (6049,35 Ha / 23,07%), high (7949,67 Ha / 30,31%), and very high (3750,93 Ha / 14,30%).