Preference Selection Index Method Research Articles

Impact of smart sustainable value stream mapping – Fuzzy PSI decision-making framework

Value Stream Mapping (VSM) is a Lean method for waste reduction, crucial across industries. In the era of the fourth industrial revolution, Small and Medium-sized Enterprises (SMEs) are adopting smart, sustainable practices. The focus has shifted from traditional VSM to Smart Sustainable VSM (SS-VSM). This study introduces an SS-VSM framework, integrating lean, sustainable, and smart techniques. A fuzzy-based Preference Selection Index (FPSI) method selects the optimal SS-VSM strategy, considering environmental, economic, and social factors. Sensitivity analysis tests the approach's robustness. The results offer a conceptual framework for implementing and managing VSM, aiding SMEs in enhancing performance through SS-VSM practices.

A novel fuzzy multi-criteria decision-making for enhancing the management of medical waste generated during the coronavirus pandemic

The coronavirus pandemic significantly increased the use of essential medical supplies, resulting in a surge in medical waste generation. This surge has spurred extensive research into sustainable disposal methods for safe and environmentally responsible medical equipment management. Addressing this multifaceted issue falls within the domain of multi-criteria decision-making. This study presents a comprehensive framework for selecting optimal medical waste treatment methods, considering economic, technological, environmental, and social factors. This is the first study to address the problem of selecting a medical waste disposal technology using the Fuzzy Dombi Bonferroni. The mean operator to combine expert opinions, the fuzzy preference selection index method to evaluate the criteria and the fuzzy compromise ranking of alternatives from distance to ideal solution method to rank the alternatives. According to the weightings, the social dimension holds the highest significance at 0.3217. Disinfection efficiency ranks as the most critical criterion, weighing in at 0.0823. The autoclave is rated as the top disposal technique, with a utility function value of 5.4579. Sensitivity analyses ensured the stability and reliability of the models. The adaptability of the applied model to sustainable practices such as energy conversion, material recycling, and resource recovery represents an essential aspect of policymaking in waste management. This assessment can guide policy formulation or improvement processes for waste disposal.

An ADAM-based approach to unveiling entrepreneurial ecosystems in selected European countries

PurposeThis study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain entrepreneurial business conditions.Design/methodology/approachThe paper introduces an multi-criteria decision-making (MCDM) approach, utilizing the axial-distance-based aggregated measurement (ADAM) method with weights determined by the preference selection index (PSI) method, to rank eight European countries based on the Global Entrepreneurship Monitor (GEM) data. Additionally, the paper extends the existing entrepreneurial ecosystem taxonomy (EET), offering an additional classification.FindingsThe performed analysis emphasizes the importance and necessity of involving different dimensions of EE in assessing the countries' entrepreneurship performance, which facilitates creating adequate policy measures.Research limitations/implicationsThe crucial limitations are assessments based only on the GEM data from a particular period, possibly leading to a certain bias. Future research should involve data from various resources to increase the results' reliability.Originality/valueThe ranking results and country classification obtained using the ADAM-based approach and two distinct taxonomies served as the basis for formulating tailored policy recommendations, aiming to formulate tailored policy implications for increasing the number of new entrepreneurs and improving innovativeness, sustainability and internationalization of existing entrepreneurs for each group of countries.

Application of Preference Selection Index in Recruitment of Search Engine Optimization Specialist

Search Engine Optimization Specialist is one of the important factors that can help digital agencies improve services to all their customers. This research aims to develop a decision-making system in the recruitment process of Search Engine Optimization Specialists by applying the Preference Selection Index method. The Search Engine Optimization Specialist recruitment decision-making system in this study uses 5 (five) criteria, namely educational background, ability to use SEO tools, work experience as a Search Engine Optimization Specialist, digital marketing skills, and age. The research sample data collection technique related to the recruitment of Search Engine Optimization Specialists used in this research is Literature Study. After the author succeeds in collecting research sample data, at the next stage the author analyzes the application of the Preference Selection Index method in the recruitment of Search Engine Optimization Specialists. The results of this study show that alternative A02 (0.855641604) has the highest value and gets the first ranking position. Meanwhile, the alternatives that get the second to fifth ranking positions are A05 (0,834620739), A03 (0,741086734), A04 (0,716537597), and A01 (0,708920064). So that the most recommended alternative based on the calculation of the Preference Selection Index on the recruitment of Search Engine Optimization Specialists in this study is alternative A02 (0,855641604).

ANALYSIS OF DEMOCRACY PERFORMANCES OF G7 COUNTRIES: AN APPLICATION WITH PSI METHOD

With the advancement of democracy in a country, sustainable development, innovation, economic growth and progress can be achieved. Therefore, the progress of major economies in democracy can influence the global economy. In this context, the research measured the democracy performance of G7 countries, which account for more than half of global capital, using the Democracy Index (DI) components data created by The Economist Intelligence Unit (TEIU), the most recent and up-to-date data available, through the PSI multi-criteria decision-making (MCDM) method. According to the PSI (Preference Selection Index) method, the democracy performance of countries was ranked as Canada, Germany, the United Kingdom, Japan, France, Italy, and the USA. Furthermore, the average democracy performance value of countries was calculated, and it was observed that the countries with performance lower than this value were the United Kingdom, Japan, France, Italy, and the USA. Therefore, it is considered that the countries with lower-than-average democracy performance need to improve their democracy performance to contribute more to the global economy. Additionally, according to sensitivity, comparative, and simulation analyses in the research, it was concluded that the democracy performance of countries can be measured using the PSI method within the scope of the DI.

Implementasi Metode Preference Selection Index Dalam Penentuan Penerimaan Beasiswa Pada SMA Negeri 2 Bengkulu Selatan

Scholarships are a form of assistance given to students or students in the form of funds or money that will be used to help the cost of the educational process and ease the burden on students in taking the study period, especially the cost issue, given a selective scholarship program. This study aims to implement the Preference Selection Index (PSI) method in determining scholarship acceptance at SMA Negeri 2 South Bengkulu. This study uses a quantitative approach by using secondary data in the form of a decision matrix containing criteria for determining scholarship acceptance and data on students who have applied for scholarships in the previous year. The PSI method is used to determine the relative weight of each criterion and calculate the final score for each student. The results of this study show that the PSI method can produce objective and fair decisions in determining scholarship acceptance. In the application of the PSI method, the criterion with the highest weight is academic achievement and the criterion with the lowest weight is activeness in student organizations. The results of this study can be used as recommendations for the school in determining scholarship acceptance in the following years. It is hoped that the results of this study can help schools in selecting students who meet the criteria and deserve scholarship assistance to help with their education costs.

Penentuan Program Indonesia Pintar (PIP) Pada Siswa Kurang Mampu dengan Metode Preference Selection Index (PSI) Berbasis Web

The Indonesia Smart Program (PIP) is a scholarship assistance provided to individuals with the aim of continuing their education as tuition assistance. This program is the government's idea to reduce the high number of children who drop out of school due to lack of funds. This high dropout rate will also later lead to a high crime rate because children who drop out of school cannot work properly. To determine whether or not students are eligible to receive the Indonesia Pintar Program, a decision support system (SPK) is needed that can provide input for schools to assess properly, which students really deserve the scholarship. By using the Preference Selection Index (PSI) method, it is hoped that this method will be able to select the best alternative from a number of alternatives based on criteria from predetermined aspects. In the Preference Selection Index (PSI) method which is used as a measure of assessment is the value of alternatives, matrix normalization, average performance value, preference variation value, preference value deviation, criteria weight, calculate the final value, and determine the ranking that will determine the optimal alternative, namely students who are entitled to a scholarship. The purpose of this research is to determine which students are eligible and not eligible to receive assistance from the government in the form of PIP. The results of this study are in the form of rankings with the highest value of 0.7686 and ranked first or rank 1 and the lowest value of 0.7091 is ranked 5th.

PEMILIHAN ALAT KONTRASEPSI PADA PASANGAN USIA SUBUR DENGAN METODE PREFERENCE SELECTION INDEX (PSI)

Family planning is an effort carried out by the National Population and Family Planning Agency to minimize the birth rate and increasing population. This research aims to build a system that will provide information and be able to recommend suitable contraceptives for couples of childbearing ag. Several methods were analysed to obtain good accuracy results from several other methods by comparing several methods that be used, namely the preference selection index method as method that will be used in this research. After the system was built, testing was carried out using testing software, validation of couples of childbearing age and institutional validation. The results of this research which were tested on couples of childbearing age, this system was quite helpful in obtaining information and selecting contraceptives.

The Decision Support System Uses the Preference Selection Index Method in Determining Healthy Cooperatives

Determining a healthy cooperative is a challenge that requires attention to several key aspects. Effective management, stable finances, active member involvement, and compliance with laws and regulations are key factors to be considered. By paying attention to all these factors and taking appropriate action, the cooperative can achieve optimal health levels and make a significant contribution to its members as well as the surrounding community. This study aims to determine healthy cooperatives using the Preference Selection Index (PSI) method in determining the best healthy cooperatives using the criteria of Capital, Quality of Productive Assets, Management, Efficiency, Liquidity, Independence, and Cooperative Identity so that the results of the best healthy cooperative ranking recommendations will be able to become recommendations for a decision. Based on the results of the calculation of the final value and ranking of the best healthy cooperatives using the PSI method, rank 1 is Koperasi-02 with a final value of 0.10737, rank 2 is Koperasi-01 with a final value of 0.10029, rank 3 is Koperasi-03 with a final value of 0.05223, rank 4 is Koperasi-04 with a final value of 0.0107. The results of testing using blackbox testing that has been carried out obtained the results of the number of answers from respondents have a value of 100% in accordance with testing the functionality of the system using blackbox testing

Decision Support System for Selecting Social Assistance Recipients using The Preference Selection Index Method

This research aims to solve the problem of selecting social assistance recipients in the Nagori Moho area, Java Marajah Bah Subdistrict, Jambi, Simalungun District; in order to obtain the right targeted recipients of social assistance, the Nagori office carries out the selection of its residents, this selection is carried out by implementing a computer-based decision support system (DSS). The decision support system uses the PSI method. The criteria used in this method consist of economic condition, income, jobs, age, and dependents of the school children. The results obtained from this research are recommendations for the population receiving aid with results consisting of rank 1 with the alternative value S_Purba with a value of 0.9286, then rank two with the alternative F_Azhar with a value of 0.7599, and rank 3 is Jumiati with a value of 0.7163. This decision support system can make it easier for the Nagori office to select residents worthy of assistance.

Penggunaan Metode Preference Selection Index (PSI) Untuk Penentuan Kondisi Laser Cutting

This study discusses the application of the Preference Selection Index (PSI) method or Preference Selection Index to be able to optimize laser cutting. The application of the PSI method represents the decision making of a multi-criteria MCDM that has not been studied more and requires a consideration in determining laser cutting parameters. The main purpose of applying this method is for multi-criterion decision making (MCDM) that does not require an assessment of the relative significance of the criteria under consideration. The method used is the preference selection index, which can provide convenience in making decisions because the process is very simple. The results of experiments using the L27 Taguchi orthogonal array, Cut surface roughness, heat-affected zone (HAZ), kerf width and material removal rate (MRR) were considered optimization criteria. The methodology is found to be particularly useful in real manufacturing environments as it involves simple calculations that are easy to understand and apply.

Penerapan Metode Preference Selection Index (PSI) Dalam Pemilihan Anggota Badan Permusyawaratan Desa Kabupaten Bengkulu Selatan

Abstract :This thesis is the result of research that describes how much influence the Village Consultative Body has on the people of Tanjung Tebat Village, golden flower District, South Bengkulu Regency. The Village Consultative Body is an institution that embodies democracy in administering village governance. The Village Consultative Council can be considered as the village parliament. As for the background, the writer's interest in writing this thesis is based on the results of observations and initial interviews that the writer conducted at the golden flower sub-district office, where the selection of members of the Village Consultative Council still uses manual assessment or it can be said that it is not efficient. Where the author offers a Preference Selection Index method to be used in selecting the best Village Consultative Body.In the Preferences Selection Index method, the results are obtained by minimal and simple calculations as they are based on statistical concepts without the need for attribute weights. From the calculations, it can be concluded that the best village consultative body members in the golden flower District fall into alternative A5, namely Design Women with a total value of 0.9084 which has been resolved using the Prefence Selection Prefence Selection Index method.
 Keywords: Election of BPD Members, Method Prefence Selection Index

Penerapan Sistem Pendukung Keputusan dalam Penentuan Alat Bantu Media Pembelajaran Fisika Terbaik Menggunakan Metode PSI

Technology in the Revolutionary Era 4.0 and Society 5.0 made changes in the manual learning system to digital. Along with the development of technology that makes technology and humans very difficult to separate. There are many ways to acquire learning knowledge, one of which is to use learning media tools that are already available on mobile phones. There are so many physics learning media tools available that make students confused in determining the best media to use. In determining physics learning media tools when learning online there are several criteria for Storage Capacity, Application Features, Number of Materials, Number of Language Choices, Number of Users and Rating Reviews. Based on these problems, a decision support system is needed as a problem solving technique and is assisted by a method that can produce an accurate final value. The method is the Preference Selection Index (PSI) method which is very helpful in generating the best weight and preference values ​​from alternative data and criteria so that the final result is that the best physics learning media tool is in Alternative F4 with a value of 0.79563, namely the PhyWiz application.

Enhancing Traditional Market Viability: A Case Study of Revitalizing Sleko Market


 
 
 
 
 
 This study addresses the imperative of adapting traditional markets to evolving consumer demands for sustained economic development. Focusing on Sleko Market in Madiun City, we propose a revitalization strategy guided by pertinent regulations and standards. Through questionnaire surveys and the Preference Selection Index (PSI) method, three pivotal indicators—multiuse space availability, streamlined loading/unloading zones, and effective advertising infrastructure—were identified. Our findings underscore the need for improved market design aligned with urban regulations and health guidelines, contributing to the quality enhancement of traditional markets.
 Highlight:
 
 Adapting to Consumer Demands: This study emphasizes the necessity of aligning traditional markets with evolving consumer preferences to ensure sustainable economic growth.
 Revitalizing Sleko Market: Focusing on Sleko Market in Madiun City, the research proposes a strategy for revitalization, guided by relevant regulations and standards.
 Enhancing Market Quality: Through surveys and the PSI method, crucial indicators like multiuse space, loading/unloading zones, and advertising infrastructure are identified, underscoring the significance of improved market design in compliance with urban regulations and health guidelines.
 
 Keyword: Traditional Markets, Consumer Demands, Revitalization Strategy, Urban Regulations, Market Design
 
 
 
 
 

Parametric analysis of erosion wear of sponge iron slag-filled ramie–epoxy composites using Taguchi and preference selection index methods

The present work reports on the development of a novel set of ramie–epoxy composites filled with sponge iron (SI) slag (0–30 wt.%) and on their response to solid particle erosion wear under different test conditions. SI slag is a by-product generated during the processing of SI to steel in arc or induction furnace. While these composites are fabricated using the conventional hand layup technique, the erosion tests are carried out using an air jet erosion tester following ASTM G76 test standard as per Taguchi's L27 orthogonal array. Mechanical characterization of ramie–epoxy composites suggests that the incorporation of SI slag improves their tensile strength by about 52%, flexural strength by 10% and micro-hardness by about 30%. A parametric appraisal of the erosion response carried out using Taguchi method reveals that the filler content, impact velocity and impingement angle are the most significant control factors influencing the erosion rate of these composites. The individual effects of different factors in wider ranges (impact velocity 25–125 m/s, filler content 0–30 wt.% and impingement angle 30–90°) are ascertained by conducting steady-state erosion experiments in controlled conditions. Preference selection index method, which is an effective multi-criteria decision-making tool is used to select the best candidate among all composites based on different physical, mechanical and wear test results. It is found that the composite with 30 wt.% SI slag content displays the optimal combination of properties. The worn morphologies of the eroded surfaces of the composites are studied and analyzed using electron microscopy to identify possible mechanisms causing the wear loss.

Decision Support System for Prioritization of Offshore Wind Farm Site by Utilizing Picture Fuzzy Combined Compromise Solution Group Decision Method.

The selection of offshore wind farm site (OWFS) has important strategic significance for vigorously developing offshore new energy and is deemed as a complicated uncertain multicriteria decision-making (MCDM) process. To further promote offshore wind power energy planning and provide decision support, this paper proposes a hybrid picture fuzzy (PF) combined compromise solution (CoCoSo) technique for prioritization of OWFSs. To begin with, a fresh PF similarity measure is proffered to estimate the importance of experts. Next, the novel operational rules for PF numbers based upon the generalized Dombi norms are defined, and four novel generalized Dombi operators are propounded. Afterward, the PF preference selection index (PSI) method and PF stepwise weights assessment ratio analysis (SWARA) model are propounded to identify the objective and subjective weight of criteria, separately. In addition, the enhanced CoCoSo method is proffered via the similarity measure and new operators for ranking OWFSs with PF information. Lastly, the applicability and feasibility of the propounded PF-PSI-SWARA-CoCoSo method are adopted to ascertain the optimal OWFS. The comparison and sensibility investigations are also carried out to validate the robustness and superiority of our methodology. Results manifest that the developed methodology can offer powerful decision support for departments and managers to evaluate and choose the satisfying OWFSs.

An analytical investigation of critical factors to prioritize coalfields for Underground Coal Gasification – Bangladesh case

In recent decades, many countries have shown a growing interest in Underground Coal Gasification (UCG) as a potential clean and environmental-friendly means of harnessing coal energy for power generation, and production of hydrogen, diesel fuel, etc. While Bangladesh may have good UCG potential that can be utilized to alleviate the country's current energy scarcity, this avenue has remained completely untapped up to now. In this work, the possibility of UCG implementation in five (05) indigenous discovered coalfields of the country was evaluated for the first time by using the preference selection index (PSI) method. This novel technique was considered to prioritize coalfields for gauging UCG potential. The PSI method is chosen over numerous traditional multi-criteria decision-making (MCDM) techniques, because it selects the best alternative from given alternatives without deciding the relative importance between attributes. The study indicated Jamalganj coalfield as the most suitable for implementing the UCG technique with a 93.6% potential. The second priority is Khalaspir coalfield with around 70.0% prospect and the other three coalfields – Dighipara (64.7%), Barapukuria (63.5%), and Phulbari (58.3%) may have UCG suitability in decreasing order of preference. The deduction is expected to assist the cogitation of energy-sector researchers and facilitate the decision-making of relevant authorities, policy makers, planners, and entrepreneurs.

Cryptocurrency Exchange Selection Decision Support System Using Preference Selection Index

Cryptocurrency trading is a very popular business of buying and selling digital money today. Many investors trade cryptocurrency assets through cryptocurrency exchange platforms in the hope of getting a large profit difference. However, the cryptocurrency trading business is not always favourable for investors as choosing the wrong cryptocurrency exchange can result in huge losses from the trades made. Based on these problems, it is necessary to have a decision support system for selecting the most relevant cryptocurrency exchange to be used as a cryptocurrency trading platform that can increase the chances of investors making profits. The decision support system method used in this research is Preference Selection Index (PSI). The results of the selection of cryptocurrency exchanges using the Preference Selection Index (PSI) method in this study recommend Indodax as the most relevant cryptocurrency exchange used by investors to gain profits in running a cryptocurrency trading business because it gets the highest value (0.893662729) compared to 4 other alternatives.

PENERAPAN METODE PREFERENCE SELECTION INDEX DALAM PENENTUAN KARYAWAN TERBAIK PADA PT. PRIMA JAYA KARYA MAKASSAR

The use of information technology is currently indispensable in the world of work, both private and government. Individuals and organizations are required to adapt to existing technological developments and use them in their work, PT. Prima Jaya Karya Makassar, which is located at Jl. Yos Sudarso No. 304 Tabarringan Ujung Tanah, Makassar City strives to continuously improve the quality of its employees so that productivity can be maintained and continues to increase. This research was conducted by designing an application by applying a Preference Selection Index (PSI) method, namely a method or algorithm that performs the ranking process of various alternatives based on established criteria, namely discipline, initiative, achievement, work, order, performance and social, with the This application that was built can provide convenience for company leaders in assessing the best employees at PT. Prima Jaya Karya.

Selection of welding robot by multi-criteria decision-making method

Welding is a method to join parts together by a stable connection. Welding is used in many different fields. The limitations of manual welding methods are gradually eliminated when using welding robots. The selection of a welding robot has a great influence on the efficiency of the welding process. Choosers (customers) often encounter problems when choosing among many products that are available in the market. During this study, seven types of robots were given to make a choice including AR700, AR900, AR1440, AR1730, AR2010, MA3120, VA1400 II. These seven options are commonly used in welding processes. There are a variety of different parameters (criteria) used to evaluate each of these robots. However, the value of the criteria in the robots is very different. The selection of a robot that is considered the best should be based on all those criteria. At this point, the selection of robots is called MCDM (Multi-Criteria Decision-Making). In this research, two MCDM methods were used to rank the types of robots: MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) and PSI (Preference Selection Index). The determination of important quantities for the criteria has been carried out by various methods, including the MEREC (MEthod based on the Removal Effects of Criteria), EQUAL, ROC (Rank Order Centroid) and RS (Rank Sum) methods. The MARCOS method was used four times corresponding to four different sets of weights. Meanwhile, when using the PSI method, we do not need to calculate the weights for the criteria. All five ranking results indicate the same best alternative. The results indicate that MA3120 is the best one. The two methods MARCOS and PSI are reliable enough to be used when multi-criteria decision-making is required, firstly, in the selection of welding robots.