Analytic Network Process Method Research Articles

Strategic Priorities for Developing the Marketing of Pomelo Oranges (Citrus maxima Merr.): A Case Study in Magetan Regency, Indonesia

Magetan Regency is the main production center for pomelo in Indonesia with total production reaching 244,395 quintals per year. Despite the high output of pomelo oranges in Magetan Regency, they still need to improve their marketing process. The purpose of this research is to analyze the priority of choosing the best strategy to develop a marketing strategy for pomelo oranges in Magetan Regency. The analysis method uses the Analytic Network Process (ANP) with Super Decision Software. Data collection uses journal reference methods, observations, interviews, and questionnaires to people who are experts in the field of pomelo oranges to obtain data/information regarding criteria, sub-criteria, and alternative solutions that will be analyzed later. The experts are the Head of the Horticulture Division from the Food Crops, Horticulture, Plantation, and Food Security Department, Magetan Regency; pomelo orange farmers in Magetan Regency; and representatives of Field Agricultural Extension Officer Sukomoro District, Magetan Regency. The results of the analysis using the ANP method, lead to the right and best decision in terms of selecting a profitable marketing strategy for pomelo citrus farming in Magetan Regency, namely post-harvest quality improvement. These results can be used as the best alternative because they meet the criteria and sub-criteria above, namely managerial capabilities, customer linking capabilities, market innovation capabilities, human resources assets, and reputational assets.

Determining and Quantifying Urban Sprawl Drivers: A Delphi-DANP Approach

Urban sprawl poses a significant and escalating challenge in developing countries, including Iran, leading to substantial transformations in urban areas. Despite efforts to manage urban spatial development, uncontrolled urban sprawl exerts considerable pressure on resources, infrastructure, and the environment. This study aims to identify and quantify the drivers of urban sprawl and investigate their interrelationships within Iranian metropolises. To achieve this objective, the study employs a mixed-method approach, commencing with a review of the existing literature and expert surveys based on PESTEL analysis and the Delphi method. This stage identified and categorized 40 key drivers (sub-factors) into six main categories (factors): political, economic, social, technological, environmental, and legal. Subsequently, the DEMATEL-based Analytic Network Process (DANP) method is utilized to explore the internal interrelationships among factors and sub-factors and to determine their relative weights, offering deeper insights into their relationships and relative importance. The findings reveal a complex interplay of political, economic, social, technological, environmental, and legal factors driving urban sprawl in Iran. Key drivers include political fragmentation, economic competition, social preferences for suburban living, rural-to-urban migration, increasing housing demand, weak legal regulations, natural constraints, inadequate transportation infrastructure, and the impact of technological advancements. Based on these findings, the study recommends a holistic approach to sustainable urban development in Iran, emphasizing the need for stakeholder engagement, participatory decision making, legal reforms, and significant investments in public transportation infrastructure.

Overcoming Challenges in Creating Cost-Effective Employee Benefits Solutions for Startups with Fuzzy ANP: A Study on Financial Instability and PF Management

Employee benefits play a vital role in attracting and retaining talent, but startups often struggle to offer competitive packages due to financial limitations and regulatory constraints. This study explores the difficulties startups face in creating cost-effective employee benefits solutions during times of financial instability. By employing a combination of Fuzzy ANP (Analytic Network Process) and DEMATEL (Decision-Making Trial and Evaluation Laboratory) methods, the research identifies and prioritizes key factors impacting employee benefits management. The study highlights that financial limitations, benefits design, and the scalability of implementation are the main challenges. It provides a structured approach to understanding the interrelationships between these factors and suggests practical solutions for startups to develop flexible, scalable, and affordable benefits programs. The findings offer actionable insights to help startups improve their employee benefits strategies, contributing to both organizational growth and employee satisfaction.

Implementation of the ANP method to overcome delays panel box raw materials in PT. Agrivito

Choosing raw material suppliers is one of the most crucial elements. If the raw materials supplied by the supplier are of poor quality, this will affect the quality of the product produced. If suppliers are unable to provide raw materials, production schedules will be disrupted and the company will not succeed in achieving its vision. PT. A is a company that produces electrical panel boxes. In making a box, raw materials are needed, namely sheet metal for all parts of the box shape. The raw material system at PT. A experienced problems with delays in raw materials so that the production process did not run smoothly, PT. GC, PT. SSL and PT. SIPA is the supplier that provides the raw material for the plate. This has a direct impact on the smooth production of the company. This research aims to supply raw materials from the three companies smoothly by selecting one company that to supply according to PT's needs. A. The method used in this research is the Analytic Network Process (ANP) method. Selection of raw material suppliers involves 6 criteria, 12 sub-criteria, and 3 alternative suppliers. The results of the calculation of the Analytic Network Process (ANP) method with the three best alternative suppliers based on the highest weight, PT SIPA obtained sub-criteria scores including ease of negotiation (0.63484), accuracy of quantities (0.63699), meeting sudden requests (0.63699), on-time delivery (0.63699), providing guarantees (0.66942), speed of responding to complaints (0.63699), and ability to respond to requests (0.63699). Meanwhile, PT GC excelled in the sub-criteria of meeting the increasing number of requests (0.73065), payment method (0.37129), free from physical contamination (0.73065), conformity to specifications (0.63699), and ease of communication (0.66942). Meanwhile for PT. SSL does not have the highest sub-criterion

Islamic Fintech Development Strategy in Indonesia: Analytic Network Process (ANP) Approach

This study aims to analyze problem priorities, solutions and strategies in the development of Islamic fintech in Indonesia by using Analytical Network Process (ANP) method. The background of this study is the rapid growth of the Islamic fintech industry in Indonesia, but until now the map has not been found in its development. This study involved stakeholders from the government/ regulators, practitioners and academics as the research respondents. The results of this study showed that the problem priorities of Islamic fintech development in Indonesia respectively are Regulation, Literacy, Human Resources (HR) and Capital. While the solution priorities respectively are Literacy, Human Resources (HR), Regulation and Capital. The alternative priorities for the Islamic fintech development strategy in Indonesia respectively are Increasing Literacy, Strengthening Government Support, Improving Quality and Quantity of Human Resources (HR), Expanding Access to Capital and Creating Ecosystems. This study shows that collaborative efforts are needed so that the Islamic fintech industry in Indonesia can develop and be sustainable.

The ANP method to relate innovative personal competencies in sustainable development in Ecuadorian fruit exporting SMEs

The development of the personal innovative competences in workers is of capital importance for the competitiveness of organizations, where the ability of the employees must respond in an innovative way to diverse situations that arise in specific contexts. Considering this, the question arises: How do innovative employees’ competences affect the sustainable development of Micro, Small and Medium Enterprises (MSMEs)? Therefore, the objective of this work is to present a multi-criteria method based on the Analytic Network Process (ANP), to relate innovative personal competences and the sustainable development of MSMEs. An instrument was applied to groups of experts from 31 Ecuadorian fruit-exporting MSMEs, to develop a multi-criteria decisional network that allowed identifying the innovative personal abilities that have the greatest impact on the sustainable development of these organizations. The results demonstrate the relevance of the elements of innovative personal competencies, with a cumulative participation of 39.15%, Sustainable Export Development with 32.18% and Improvements with 28.66%. It also presents three types of analysis: i) Global to establish the weight of each variable; ii) Influences, to establish solid cause-effect relationships between the variables and iii) Integrated. The most relevant innovative personal competences for sustainable development and improvements for exporting SMEs are teamwork, critical thinking, and creativity within the international context.

Determination of Weights and Priority Ranking of Leakage Management Components in Water Distribution Systems Using Analytical Hierarchy Process, Analytical Network Process and TOPSIS Methods

Determination of Weights and Priority Ranking of Leakage Management Components in Water Distribution Systems Using Analytical Hierarchy Process, Analytical Network Process and TOPSIS Methods

Risk propagation in emergency supply chain during public health events - From a reliability perspective.

The emergency supply chain is a vital component of the emergency management system and serves as the cornerstone for delivering relief during emergencies. This paper focuses on investigating the propagation mechanism of supply chain risks in public health emergencies. Firstly, by analyzing the characteristics of emergency supply chains, this study enhances the formation mechanism of scale-free networks in emergency supply chains from a reliability perspective through the utilization of Decision Experimentation and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methods. Secondly, an emergency supply chain network is established based on the improved mechanism. Thirdly, the risk propagation mechanism of the emergency supply chain is analyzed by utilizing an enhanced outbreak model. The mechanisms and processes of risk propagation in the emergency supply chain are examined in relation to the initial proportion of infection, intensity of risk, probability of infection, probability of recovery and speed of rescue. Based on this analysis, factors influencing risk propagation are identified and effective measures for controlling risks are proposed.

Municipal solid waste management strategy selection: Multi-criteria decision making under uncertainty

For decades, due to the increasing generation of waste and its negative environmental impacts, efficient municipal solid waste management (MSWM) has become a major concern of sustainable development. On the other hand, selecting an appropriate strategy remains a critical issue for municipal authorities without applying a multi-criteria decision-making (MCDM) approach. This study aims to select the best MSWM strategy from five potential MSW management strategies under various factors that influence waste strategy selection, such as economic, social, technical, and environmental factors. This study used three fuzzy integrated MCDM methods, namely the Decision-Making Trail and Evaluation Laboratory (DMATEL), the Analytic Network Process (ANP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select best MSWM strategies. The study used data from a survey of experts who had knowledge of waste management. The survey data was then analyzed using the DMATEL, ANP and TOPSIS methods under a fuzzy environment. The Fuzzy DEMATEL method is used to identify the causal relationships among the criteria and sub-criteria, while ANP is applied to determine the relative weights of MSWM strategy selection sub-criterion. Finally, TOPSIS is used to rank the waste management strategies depending on established sub-criteria. The result of fuzzy TOPSIS demonstrated that recycling of municipal solid waste is the best alternative which has the highest closeness coefficient followed by reuse. Thus, the result of this study revealed that MSWM strategies are ranked as: waste recycling (A1), reuse (A2), reduce (A1), energy recovery (A4), and disposal (A5), with closeness coefficient values of 0.80, 0.61, 0.60, 0.47, and 0.17, respectively.

Strengthening business capital in the Halal industry through Waqf: ANP analysis of the Waqfpreneur program

This study examines how the Indonesian Waqf Education Foundation's Waqfpreneur program strengthens business capital in the halal industry through the waqf mechanism. The halal industry in Indonesia has experienced significant growth but still faces challenges in terms of financing and business capital. Waqf, as an Islamic financial instrument, offers a potential solution to overcome this problem. The Waqfpreneur program is an innovation in waqf management that aims to support halal industry entrepreneurs by providing business capital through a productive waqf scheme. This study employs the Analytic Network Process (ANP) method, enabling a thorough assessment of multiple factors that impact the program's success. The study's results show that the main benefit of strengthening business capital through waqf is avoiding Riba capital, while the main opportunity is expanding the Indonesian halal industry market. Next, we must consider the cost of waqf management, taking into account the full value of the waqf. In the halal industry, compliance with halal standards poses the main risk.

Strategy To Accelerate Islamic Banking Development In Indonesia: An Analytic Network Process Approach

The Islamic banking sector is a fundamental pillar in shaping the trajectory of Indonesia's Islamic industry, fostering sustainable economic growth. As a financial institution, it facilitates capital flows and significantly contributes to national economic growth. This study aims to analyze strategies for the development of Islamic banking in Indonesia using the ANP method, addressing the research gap on this topic and responding to the urgent need for strategies to enhance the Islamic banking industry in Indonesia. This research uses the Analytic Network Process (ANP) method, which is based on three basic principles: complexity structuring, measurement, and synthesis. The results of this study can be concluded that the strategy of accelerating the development of the Islamic banking industry in Indonesia using the ANP method, focusing on the problems of human resources, regulation, product innovation, and low public literacy. The main strategies include increasing Islamic banking literacy, developing the quality of human resources and infrastructure, and diversifying products according to market needs. Policy recommendations include comprehensive training for human resources, coordination of regulatory institutions, digital product innovation, and public education on the advantages of Islamic banking.

Promoting sustainable performance of smallholder oil palm farmers: an analysis of key determinants and strategic priorities

PurposeThis study investigates the factors affecting the performance of smallholder oil palm farmers in Indonesia, with an emphasis on sustainable productivity.Design/methodology/approachThe study involved interviews with regulators, practitioners and experienced farmers in Riau, West Kalimantan, Central Kalimantan and the Bangka Belitung Islands, Indonesia. A confirmatory and explanatory approach was used to explore the relationships among farmer competency, social capital, institutional support, sustainable productivity and overall performance. Data from 757 farmers were analyzed using partial least squares structural equation modeling (PLS-SEM), while the analytical network process (ANP) method identified strategic priorities.FindingsThe results indicate that the sustainability of oil palm farming was low. Social capital, institutional support and sustainable productivity are the key performance factors. Sustainable productivity mediates these relationships. Farmers’ competence indirectly affects performance through sustainable productivity, social capital and institutions. Institutional support needs to be improved.Research limitations/implicationsThis study suggests expanding sustainability indicators by following the latest standards of RSPO principles and criteria, simplifying language for better farmer understanding and assessing sustainability before and after policy implementation.Practical implicationsThe proposed policy framework emphasizes social capital, institutional support and sustainable productivity to improve sustainability and effectiveness.Social implicationsThis study highlights the critical role of social capital, institutional support and sustainable productivity in enhancing Indonesian palm oil farmers’ sustainability and performance.Originality/valueThis unique integrated approach combining PLS-SEM and ANP methodologies provides a comprehensive understanding of the factors affecting smallholder performance and data-driven strategic priorities for policy interventions.

Optimizing site selection for construction and demolition waste resource treatment plants using a hesitant neutrosophic set: a case study in Xiamen, China

The site selection of construction and demolition waste resource treatment plants is a complicated multi-criteria decision-making (MCDM) issue of ‘not in my back yard’ (NIMBY) facilities, which is affected by spatial, economic, societal, environmental and other factors. Traditional site selection MCDM methods expose the shortcomings of evaluation information representation and spatial factor analysis. This study develops an optimized MCDM site selection method in a hesitant neutrosophic set (HNS) environment, capable of effectively handling uncertainty and fully incorporating spatial considerations. The innovation of this research lies in integrating HNS into MCDM, combined with geographic information system technology, revised DEMATEL-based analytic network process method, cosine similarity and Euclidean distance similarity measures. A case study in Xiamen, China, validates this method’s effectiveness, and sensitivity analysis and comparative studies demonstrate its superior stability, robustness and resolution. The main contribution of this study is the development of an MCDM optimization method for siting large-scale NIMBY facilities.

Analyzing Delay Factors in Iraqi Construction Projects: An ANP Approach with Najaf Governorate as a Case Study

Construction projects in Iraq often experience delays owing to various factors, making it challenging to accurately estimate completion times. This study investigates the factors contributing to these delays, focusing on the Najaf Governorate as a case study. The primary objective of this study was to investigate issues related to the construction project completion duration, particularly considering Iraq's current unprecedented reconstruction and building efforts. The most significant factors influencing the completion duration were identified through statistical analysis of the samples and application of the Analytic Network Process (ANP) method. Data were collected and refined using a questionnaire designed according to a five-point Likert scale and administered in two rounds. The first round involved 28 participants, whereas the second round included 5 participants. The analysis revealed that contractor inefficiency, particularly from a financial perspective, is one of the most critical factors affecting construction progress and causing delays. The practice of accepting the lowest bids emerged as the second most crucial aspect leading to project delays in Iraq. Additionally, the study concluded that insufficient cash flow for the employer and the lack of technical expertise within the contractor company were the third and fourth most influential factors affecting the duration of construction projects, respectively. This study also highlighted that legal gaps in Iraq's legislative framework for construction projects are among the most significant causes of delays. Finally, the practice of subcontracting was identified as a significant contributor to both delays and poor work quality in the construction projects in Iraq.

Analysis of Flood Risk Areas by Weighting the Analytic Network Process (ANP) Method

Analysis of Flood Risk Areas by Weighting the Analytic Network Process (ANP) Method

Development of Potato Chip Cluster Supply Chain Institutional Model with The Integration of ISM (Interpretive Structural Modeling) and ANP (Analytic Network Process)

Increasing the productivity of potato chip in Micro, Small, and Medium Enterprises (MSMEs) through the institutional model is significantly strengthening the economy of Batu City, especially as a tourist destination city. The institutional model ensures the smooth operation of supply chain activities due to the interactions between the actors, facilitating coordination, information sharing, and integration from upstream to downstream. This model can be used to improve the performance. To improve the performance, supply chain of potato chip MSMEs cluster faces several challenges including a limited supply of raw materials and finished products, price fluctuations, non-optimal drying processes, and inconsistent quality. Therefore, the study aimed to conduct a holistic evaluation and improvement method on the interconnected constraints to enhance supply chain’s performance. The integration of Interpretive Structural Modelling (ISM) and Analytic Network Process (ANP) methods was applied to observe interactions between key elements in development of supply chain institutional potentials and to prioritize development strategies. The results showed that the key elements that influenced development of the organizations related to labor capability, diversity of raw material quality, the potential for collaboration relationships, minimizing the risk of drying during the rainy season, and participation of various actors. Based on the largest WANP weight value (0.230), the primary strategy for supply chain development in the SME cluster was the implementation of digital-based marketing. Furthermore, improving the institutional performance model of potato chip MSMEs cluster supply chain included the participation of internal and external quality assurance organizations in the product quality audit process. Ensuring product quality consistency through these audits would support digital-based marketing and help mitigate issues related to product quality and supply consistency.

Reducing urban energy consumption and carbon emissions: a novel GIS-based model for sustainable spatial accessibility to local services and resources

This study explores the complex interconnections among global population growth, energy consumption, CO2 production, and disparities in service access through the lens of a single case study. Rapid population growth in many major cities has created significant challenges related to equitable access to services and socio-economic development, thereby impacting both their energy consumption patterns and environmental impacts. The case investigated in this study, like many other cases in developing countries, exhibits differences in service provision, infrastructure development, and energy usage, particularly between the northern and southern regions, which significantly affect the quality of life, environmental sustainability, and economic development. Previous efforts to narrow these geographic disparities have yielded limited success and exhibited several shortcomings. By employing a GIS Analytical Network Process method, this study examines service accessibility patterns in a single-case city, with a particular emphasis on green spaces, food services, and educational facilities and services. This GIS-based approach seeks to achieve sustainable levels of access to multiple land uses by evaluating their accessibility and identifying areas of overlap between them. The study endeavors to increase access and density of service standards when planning the placement of new facilities based on these standards in new locations. The method developed in this study represents a critical stride toward achieving these key objectives. The findings reveal that only 47% of city population blocks enjoy high service accessibility, while 40% have moderate accessibility, and 2.6% experience poor accessibility. These insights are of significant value to urban planners, researchers, and policymakers striving to reduce energy shortages and promote sustainable energy and transportation strategies to mitigate environmental impact in urban areas.

Application of Analytic Network Process (ANP) Method in Determining Lecturer Performance Rating

The use of the Analytic Network Process (ANP) method in evaluating and ranking lecturer performance. ANP is a complex decision-making method that allows the assessment of various interrelated factors in a network. In the context of higher education, evaluating lecturer performance is very important because the quality of teaching and lecturers' contribution to research and scientific development has a direct impact on students' learning experience and institutional reputation. However, assessing lecturer performance is not an easy task because it involves a variety of complex and interrelated factors, such as teaching ability, research contribution, community service, and various other administrative aspects. The results of this study show that the ANP method has proven to be effective and successful in providing an objective, structured, and detailed description of lecturer performance. The results can be used to support decisions regarding awards, promotions, or training needed to achieve better overall performance with a 70% success rate in assessing lecturer performance.

Prioritization of Personal Protective Equipment Plans for Construction Projects Based on an Integrated Analytic Network Process and Fuzzy VIKOR Method

The risk of both fatal accidents and non-fatal injuries in the construction industry is significantly high in most countries. To reduce this construction safety risk, the proper use of personal protective equipment (PPE) is one of the major measures on the jobsite. In this research, in order to comprehensively assess the PPE plans, a three-phase framework was proposed to identify the optimal solution for PPE planning from a set of alternatives. As a result, four main criteria and fifteen sub-criteria were identified based on a systematic literature review, and a decision-making model integrating the analytic network process (ANP) and VIekriterijumsko KOmpromisno Rangiranje was developed. As the assessment information in the survey was incomplete and vague, the fuzzy sets theory was adopted to transform the linguistic terms into fuzzy numbers for evaluation. The model further calculated the weight of each criterion and prioritized the potential PPE plan alternatives. Finally, the presented model was implemented in a case study to verify its feasibility and applicability for practical construction management. The proposed method enables the selection of the most compromising solution as the optimal PPE plan. This research assists decision-makers and safety planners at construction workplaces to improve the overall safety performance and reduce accident risks, which significantly contributes to construction safety management and practice.

Modernisasi Alat Utama Sistem Senjata TNI dalam Mendukung Tugas TNI AL

This study analyzes the modernization of TNI AL weaponry systems to support maritime defense tasks in Indonesian jurisdictional waters. Using the Analytic Network Process (ANP) method, the research identifies the challenges and obstacles faced, as well as determining modernization priorities. The ANP results show that modernizing the Indonesian Navy Warship (KRI) is the top priority, followed by the development of Fast Missile Boats (KCR), the modernization of the Maritime Air Defense System, and the procurement of new submarines. Additionally, the Indonesian Navy faces both conventional military threats, such as naval attacks from other countries, and asymmetric threats, including piracy and maritime terrorism. To address these threats, the Indonesian Navy needs to develop advanced technologies, including cyber security and monitoring technologies to prevent illegal activities at sea. The study also finds that modernization efforts face various obstacles, requiring the improvement of maintenance facilities and intensive training. The use of ANP and NVivo helps formulate an effective modernization strategy to enhance operational readiness and the maritime defense capabilities of the Indonesian Navy.