سنجش توسعه زیرساختهای انرژی و ارتباطات نواحی روستایی در لرستان (رهیافت پرومته)

The Presidential Election is one of the key elements in democracy which is regulated by the 1945 Constitution of the Republic of Indonesia (UUD 1945). General elections (elections) in Indonesia are held every five years, and the people have the right to vote to elect a presidential candidate who they consider worthy of leading the country during the next term of office. The Presidential election process involves various stages, including nomination by political parties or individuals, political campaigns, debates between candidates, and the voting or election stage. The presidential election (presidential election) is held simultaneously with the legislative election. It is important to note that elections are the foundation for democratic governance, ensuring the active participation of the people in determining the direction and leadership of the country. The Presidential Election in Indonesia is a manifestation of the implementation of democratic principles in the country's political system. The AHP (Analytic Hierarchy Process) method and the ANP (Analytic Network Process) method are methods that can be used in making decisions. A method developed by mathematician Thomas L. Saaty to help solve very complex problems by breaking down various decisions into several smaller criteria. The AHP and ANP methods can overcome assessments based on subjective viewpoints and personal preferences, and transform them into weights with consistent and rational values. Super Decisions is a tool developed specifically to support AHP and ANP calculation applications. Super Decisions provides useful tools in analyzing and processing comparison tables, performing consistency calculations, and assisting in AHP and ANP based decision making.

In this paper a new approach to assess companies' competitiveness performance in an efficient and reliable way is presented. It introduces a rigorous methodology, based on multi-criteria techniques, which seeks to assist managers of companies within a specific industrial sector in providing information about their relative position in order to define improvement action plans. The approach combines the use of the analytic network process (ANP) method with the balanced scorecard (BSC) to achieve competitiveness indicators. The ANP method allows the aggregation of experts’ judgments on each of the selected indicators used into one company competitiveness index (CCI). To demonstrate the goodness of the methodology, a case study of the plastic sector of Venezuela has been carried out. Three companies have been analysed using the CCI proposed. The participating experts agreed that the methodology is useful and an improvement from current competitiveness measurement techniques. They found the results obtained coherent and the use of resources significantly less than in other methods.

Supplier sustainability performance evaluation using the analytic network process

Sustainable risk management is becoming widely accepted, making the incorporation of environmental, social, and governance (ESG) issues into strategic planning areas crucial to a responsible business philosophy. This article aims to rank organizational sub-risks with a focus on sustainability, offering a methodology based on the analytical network process (ANP) method to improve decision-making and reduce misrepresentation in qualitative evaluation criteria. An integrated approach is presented, starting with the characterization of five risk typologies based on global reports and then prioritizing risks and sub-risks using the ANP method. The sustainability sub-risks with the highest level of prioritization for each risk typology are (1) massive data fraud or theft incident (technological risk), (2) deficit in economic growth (economic risk), (3) water depletion (environmental risk), (4) lack of ethics in the conduct of business (geopolitical risk), and (5) chemical safety (social risk). Finally, a cosine similarity analysis is developed to compare the results obtained with the results of a risk prioritization performed with the analytical hierarchy process (AHP) method. The differences between the methods generate a similar risk prioritization; the high similarity indicates the consistency of the relationships and the prioritization of the criteria showing convergence. It is essential to mention that the results should be interpreted cautiously, considering the specific context in which this methodology is developed, and we recommend a periodic verification of risks and sub-risks.

This study aims to apply the Analytic Network Process (ANP) method as a decision support tool in determining the eligibility of education grant recipients in North Sumatra Province. The background of this research arises from the large number of grant applicants compared to the available budget, as well as the absence of clear and objective evaluation standards. The ANP method was chosen because it allows the interdependence between assessment criteria such as institutional feasibility, performance and achievement, social and educational impact, and accountability and transparency to be analyzed comprehensively. Data were obtained through interviews, documentation, and observation at the North Sumatra Provincial Education Office. The results of the ANP model show that the criterion with the highest weight is accountability and transparency (0.44), followed by social and educational impact (0.31). Among the three alternatives, community-based education foundations (A2) obtained the highest total weight (0.30), indicating that they are the most eligible recipients of education grants. The implementation of the ANP-based decision support system produces valid and consistent ranking results (CR < 0.1), enabling faster, fairer, and more transparent decision-making. Therefore, the ANP method contributes significantly to improving governance, objectivity, and accountability in the distribution of education grants in North Sumatra Province.

The ongoing water deficiencies in arid and semi-arid regions in conjunction with certain nutritional requirements highlight the importance of pinpointing the most optimal locations for cultivating agricultural products with the highest yield. Given the importance of this issue, this study proceeds to prepare soil fertility maps for corn production (Zea Mays L.) in Fars province, Iran. Initially, fuzzy membership functions (FMs) are employed to prepare fuzzy maps for each layer in the geographic information system (GIS), after which feature selection algorithms are deployed to designate the most relevant layers. The layers are then assigned specific weights obtained using a combination of analytic network process (ANP) and analytic hierarchy process (AHP) methods to prepare soil fertility maps. The input data consist of organic content (OC), phosphorus (P), potassium (K), iron (Fe), zinc (Zn), manganese (Mn), and copper (Cu). Inverse distance weighting (IDW) is utilized to procure interpolation maps for each layer. Thereafter, zoning maps are obtained using FMs. Ultimately, ANP and AHP models are once again deployed to generate the final overlayered fertility maps for corn production. The results show that combining the ANP method with feature selection (OC, K, Fe, and P) results in higher accuracy than solely applying the AHP method. Thus, incorporating feature selection and ANP methods with both inter and intra-group pair-wise comparison would result in more accurate fertility maps for corn production with lower costs and time complexity.

Performance evaluation is an important part of the enterprises' strategic management. The analytic hierarchy process (AHP) can provide an analytical means to determine the importance of the identified factors. The AHP method assumes that the factors presented in the hierarchical structure are independent; however, this assumes that may be inappropriate in light of certain internal and external environment effects. Therefore, it is necessary to employ of analytic network Process (ANP) method. The traditional financial method cannot fully reflect the performance of enterprises, as a result of which the balanced scorecard (BSC) method was developed. However, BSC also some disadvantages. By giving power weights on indicators, ANP method can make up those disadvantages. The objective of this study is to construct an approach based on the ANP and balanced BSC for creating a method of enterprises' performance evaluation.

The transportation of toxic and explosive goods is related to the safety of people's lives and property. The dangerous goods transport vehicle is a special vehicle for the transportation of toxic and explosive goods. Its performance evaluation is a complex system composed of a variety of evaluation indicators. This paper based on ANP (analytic network process) feedback structure assessment framework to solve the independence between evaluation index and interdependent relationship, and combine the characteristics of the dangerous goods transport vehicle, established a perfect performance evaluation index system. With three kinds of the dangerous goods transport vehicle design as an example, the Super Decisions software was used to build the ANP model, by calculating the limit super matrix, the idealized priorities value of alternatives to verify the feasibility of ANP method is applied to the dangerous goods transport vehicle performance evaluation.

The analysis and evaluation of construction investment options in Vietnam is still qualitative and subjective, so investment decisions are not truly rational. This study proposes the Analytical Network Process (ANP) method applied to build evaluation models and then selecting criteria to quantify and digitize with specialized software, to analyze and make appropriate decisions. This research was conducted through a survey of 74 construction experts and engineers undertaking different roles in the project (state management agencies, investors, consultants, contractors, etc.). As a result, 29 variables (divided into 06 groups of factors), were established and analysed using Superdecision software. The study shows that option 01 (intersection renovation and expansion) has the highest score; and was proposed to invest and implement in practice.

Higher education is a subsystem that includes a program of national education diploma, bachelor, masters, specialist and doctoral degrees held by college. universities are obliged to provide education, research and community service. One element in the administration of higher education are the lecturer. Lecturers are academic personnel responsible for planning and executing the learning process, assess learning outcomes, conduct coaching and training, and conduct research and community service. Based on the Law of the Republic of Indonesia Number 14 Year 2005 on Teachers and Lecturers, Article 51 Paragraph (1) Item b, the professor is entitled to promotions and awards in accordance with academic performance. This study used the ANP method (Analytical Network Process). By using Superdecision software. The criteria used in this study is the teaching, research and community service. The results of this research is the relationship between teaching, research and community service related to the outstanding faculty in the election where the percentages in selecting outstanding faculty teaching performance at the first level = 22%, Personality = 18%, Teaching = 21%, 21% Research = , Devotion community = 16%.

Lecturer performance is influential in increasing student learning motivation. Each lecturer has a different character, nature and way of teaching. This causes students to choose and determine the best lecturer according to the students themselves. One of the Decision Support Systems (DSS) in assessing the best lecturers is using the ANP and TOPSIS methods. The Analytic Network Process (ANP) method is used to determine the weight of the criteria according to decision making, then the TOPSIS method is used to determine the rank / achievement of lecturers. This decision support system is expected to help and provide an alternative in assessing lecturer achievement. The results of this study will be in the form of an information system which is expected to assist in processing data by designing the best lecturer assessment information system using the ANP and TOPSIS methods.

Shopping center plays an important role in distribution system and marketing. These canters provide an appropriate atmosphere for customers; so that, the customers achieve the best service within a short time. However, there is an intense competition among shopping centers to attract more customers for increasing the profit. Therefore, a powerful model assists authorities in identifying the critical competitive aspects and directing their efforts toward performance improvement. However, a number of strategies have been developed to identify the most relevant components. The Delphi technique under intuitionistic fuzzy environment, called intuitionistic fuzzy Delphi method (IFDM) study, is a group-based technique that can simply formulate the uncertainty imposed by decision making circle. On the other hand, multi criteria decision making (MCDM) method such as analytical network process (ANP) is a mathematical tool for taking into account mutual relationships in order to rank a number of criteria. Nonetheless, the ANP is unable to account for the uncertainty involved in the decision-making process. Similarly, the intuitionistic fuzzy set (IFS) can express ambiguity and vagueness by utilizing the given scale. Because the IFS is robust in dealing with complexity and ambiguity, the IFS-GANP (an integrated model of the IFS and ANP methods under group decision) can result in a more specific description of the situation. As a result, the IFS-GANP approach outperforms both conventional ANP and fuzzy ANP. To demonstrate the model’s feasibility, a case study rating the essential aspects impacting the attractiveness of retail centers is shown. The result demonstrates factor C31 (Location) with value of 0.202 plays the greatest role in attracting customers.

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

The government's limited budget in managing the condition of the road pavement causes the government to compile a priority ranking of the roads to be handled. Each decision maker has a different assessment for each factor or criterion that is considered in determining the path. This problem requires the same perception from decision makers in choosing road handling priorities. Priority by determining more than one criteria can be done using Multi Criteria Decision Making (MCDM) analysis such as Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP). This study seeks to obtain priority handling of the Jalan Bts. Tapteng/Tapsel – Batang Toru – Bts. Sidempuan City using AHP and ANP methods. The criteria used are traffic volume, level of road damage, government policies, handling costs, and area development. The segmentation of the road segment is applied in this study into 9 sub-sections to obtain a uniform alternative length of the road. The results show that the most influential criteria in road handling using the AHP method are traffic volume (0.428), followed by policy (0.192), cost (0.187), road conditions (0.141), and area development (0.052). While in the ANP method, the criteria with the largest weight are traffic volume (0.301), followed by policies (0.196), costs (0.194), road conditions (0.174), and area development (0.134). The results of the two methods also determine the priority of different road handling roads. The results of the ANP method are expected to be a more objective priority due to the consideration of feedback on the elements and clusters themselves.

This research aims to: (1) Knowing the obstacles faced in implementing the Mutanaqisah Musharaka Financing (2) The solutions taken to overcome these obstacles; and (3) the right strategy to apply musyarakah mutanaqisah financing. This study uses the Analytic Network Process (ANP) method and the assistance of Super Decision software. ANP is carried out in three stages, namely: first, in-depth interviews with Islamic banking experts and practitioners to identify the factors that influence the minimum amount of musyarakah mutanaqisah. Second, the results of the first step are used to create an ANP framework and a questionnaire addressed to Islamic banking experts and practitioners; and third, ANP analysis to determine the best priorities, solutions and strategies for implementing Musyarakah mutanaqisah financing in Islamic banking.The results showed that: (1) The constraints faced by Islamic banking in implementing Musyarakah Mutanaqisah financing for Islamic banking KPRS financing can be divided into two, namely internal and external problems. Internal problems stem from internal banking, banking human resources, and musyarakah mutanaqisah financing products. External problems originate from customers, authorities, and Islamic banks. The most priority problem faced is internal problems, namely human resources (HR) associated with low knowledge and skills about the MMQ contract. Meanwhile, the most dominant external problem is Islamic banking with a lack of insight into the MMQ contract. (2) The solutions given in determining the financing strategy for the musyarakah mutanaqisah are divided into two, namely internal and external solutions. The most priority solution comes from internal solutions, namely product solutions in the form of Islamic banking that must vary the contract, especially for the MMQ contract; and (3) The alternative with the most priority in determining the financing implementation strategy with the musyarakah mutanaqisah contract in Islamic banking is the Socialization and Education Program, followed by Contract Optimization, Portfolio Development, Image Strengthening, MMQ Segmentation Mapping, and MMQ financing market segmentation.