Preference Selection Index Research Articles

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).

The alternative ranking using two-step logarithmic normalization method for benchmarking the supply chain performance of countries

Supply chain performance signifies the success of countries in material and information flow within international trade activities. Countries strive to enhance their supply chain performance by increasing connectivity with partner countries and reducing dwell times at logistics hubs. In this study, the supply chain performance of countries based on international tracking indicators is examined using a multi-criteria decision-making approach. The paper encompasses two primary objectives. The first objective is the determination of the supply chain performance of countries. The second one is the development of a novel alternative ranking method. The study employs 10 supply chain key performance indicators as criteria and utilizes data from 72 countries. The data is sourced from logistics performance index reports published by the World Bank. The modified preference selection index (MPSI) is employed for criterion weighting. For the ranking of countries, a novel alternative ranking method named the “Alternative Ranking using two-step LOgarithmic Normalization (ARLON)” method is proposed. Through the implementation of the MPSI-ARLON hybrid method, supply chain performance and rankings of countries are computed. The findings are supported by sensitivity and comparative analyses. Furthermore, robustness tests are conducted for the ARLON method. The research concludes by presenting implications and managerial insights derived from the ARLON method.

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.

A comparative study of original equipment manufacturer brake pads using tribological testing and hybrid ranking for enhanced decision making and cost effectiveness

Tribological test and hybrid ranking techniques are employed to evaluate brake pads from original equipment manufacturers for Indian passenger cars. The study was conducted for four brake pads designated as OE1, OE2, OE3, and OE4. The assessment integrates the analytical hierarchy process with various ranking methods including Extension Evaluation Method, Complex Proportional Assessment, Preference Selection Index, and Technique for Order of Preference by Similarity to Ideal Solution. Brake pad samples undergo testing according to the standard IS2742 part 1-4 of 1994, generating crucial performance parameters such as performance coefficient of friction, hot coefficient of friction, normal coefficient of friction, fade percentage, recovery percentage, variation in coefficient of friction, wear thickness loss percentage, wear mass loss percentage, and time taken to reach maximum temperature. These performance metrics are technically analyzed and ranked using hybrid ranking techniques to enhance the decision-making process. The results show that OE4, a budget-friendly brake pad ranked first, is the best performer. OE2, a more expensive alternative, is placed second, and OE1 and OE3, which are more affordable possibilities, are ranked third and fourth, respectively. This research serves as a valuable resource for selecting brake pads for Indian passenger cars, especially in scenarios where technical specifications and cost-effectiveness are crucial considerations.

Optimal selection for machining processes using the psi-r-piv method

Machining processes are crucial in the production of various products across different industries. The accuracy, lifespan, and cost of these products significantly depend on the machining processes. This research introduces a novel method for selecting the optimal solution for machining processes. The proposed method, named PSI-R-PIV, is a hybrid of three methods preference selection index (PSI), ranking of the attributes and alternatives (R), and proximity indexed value (PIV). PSI, R, and PIV are all techniques used to rank options to determine the best among the available choices. Moreover, PSI and R have an additional function of calculating weights for the criteria. Therefore, using PSI-R-PIV to rank options for each machining process results in four sets of rankings: one by PSI, one by R, and two by PIV. In the PIV method, the weights for the criteria are calculated using the PSI and R methods. The ranking method using PIV with weights calculated by the PSI and R methods is named the PSI-PIV and R-PIV methods respectively. The four methods in the PSI-R-PIV combination include PSI, R, PSI-PIV, and R-PIV, and have been utilized to rank options in various machining processes. The results indicate that the PSI-PIV method offers high accuracy and is recommended for selecting the best option among the available choices in machining processes.

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.

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.

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.

Evaluation of third-party logistics service providers for car manufacturing firms using a novel integrated grey LOPCOW-PSI-MACONT model

Automotive businesses often delegate logistical tasks to third-party logistics (3PLs) service providers to acquire a competitive edge in the dynamic market. Nevertheless, selecting the most suitable third-party logistics (3PL) partner is a multifaceted undertaking that needs careful evaluation of several criteria and alternatives. This research aims to introduce an integrated grey Multiple Criteria Decision Making (MCDM) framework for automotive businesses to deal with the multidimensional 3PL selection decision problem. This framework incorporates an enhanced Preference Selection Index (PSI), Logarithmic Percentage Change-driven Objective Weighting (LOPCOW), and Mixed Aggregation by Comprehensive Normalization Technique (MACONT). The LOPCOW-G and grey PSI (PSI-G) methods extract the criterion weights, whereas the MACONT-G method ranks the alternatives. The suggested framework's practicality is shown by conducting a case study about evaluating and selecting a third-party logistics (3PLs) provider. The findings indicate that the parameters of significant importance are “skilled workforce (0.0977),” “financial strength (0.0901),” and “IT-IS competence (0.0839).” Furthermore, TPL4 has been recognized as the most optimum option with a value of 0.4797. The MACONT-G model is as well compared against other grey MCDM techniques to assess the validity of the proposed model. The Pearson correlation coefficient between MACONT-G and the other models based on grey sets is 0.958, suggesting a significant and positive link. Furthermore, it is worth noting that a sensitivity analysis has been conducted to validate the accuracy and reliability of the created framework. In conclusion, this study has identified managerial and policy implications that might assist policymakers and executives in effectively evaluating 3PL providers.

An application of the preference selection index decision making method for parameters selection of FDM printing process

3D printing is an innovative technology used for producing functional prototypes and visualizing complex physical designs. Different 3D printing methods have been developed to cope with wide variety of mechanical components and materials. These techniques also speed up the mass manufacturing of complex components by quickly producing working prototypes. The performance of the 3D printing process can be assessed by the achieved outputs such as the mechanical qualities of the produced porotype, printing mass, and printing duration. Like any manufacturing process, how a process performs basically depends on the preference of the decision maker; whether all outputs are important or only a set of these outputs. Determining the desired performance is attained by the proper adjustment of process parameters. Selecting the optimal set of printing parameters, canE therefore, be thought of as multi-criteria decision-making (MCDM) problem since conflicting performance metrics are involved in the decision process. Substantial work has been made primarily on choosing printing machines and studying the effects of printing parameters, but with little focus on deciding parameters settings suitable for achieving the desired printing performance. For this purpose, a preference selection index (PSI)-MCDM model is proposed in this paper. The model is demonstrated using a ZORTRAX- M300 plus plastic 3D-printer as a case study. Multiple scenarios with different sets of decision criteria are presented to reflect users’ predilections. The outcomes show the model's capability to rank parameter combinations in a methodical manner.

Comparative Analysis of Prediction Results of Decision Support Systems Simple Additive Weighting Method with Preference Selection Index in Determining Scholarship Recipients

Educational Assistance needs to be a concern because currently the majority of students have the potential and ability but are constrained financially so this needs to be taken seriously by the government, currently, the government through the Ministry of Education has been trying to provide financial assistance in the form of scholarships including achievement improvement scholarships academic. Currently, to get a scholarship, each university certainly gets a limited quota. This is done to provide equal distribution of educational assistance, due to the large difference between the quota obtained and students who need assistance, so it is necessary to provide eligibility selection for students who are entitled to get scholarships. This study took sample data from the 2023 even semester scholarship list at Manado State University, especially in the Informatics Engineering Study Program, then normalized the data to use the SAW and PSI methods. After normalization, calculations were carried out using the SAW and PSI methods. predictions from the two methods will then be tested for the level of accuracy using the confusion matrix method. The result is that the SAW method has an accuracy rate of 98.13% and then the PSI accuracy rate is 97.24% based on the results of the prediction accuracy, the SAW method has a higher accuracy rate than PSI.

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

Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations

The study addresses the potential benefits for companies of adopting ChatGPT, a popular chatbot built on a large-scale transformer-based language model known as a generative pre-trained transformer (GPT). Chatbots like ChatGPT may improve customer service, handle several client inquiries at once, and save operational costs. Moreover, ChatGPT may automate regular processes like order tracking and billing, allowing human employees to focus on more complex and strategic responsibilities. Nevertheless, before deploying ChatGPT, enterprises must carefully analyze its use cases and restrictions, as well as its strengths and disadvantages. ChatGPT, for example, requires training data that is particular to the business domain and might produce erroneous and ambiguous findings. The study identifies areas of deployment of ChatGPT's possible benefits in enterprises by drawing on the literature that is currently accessible on ChatGPT, massive language models, and artificial intelligence. Then, using the PSI (Preference Selection Index) and COPRAS (Complex Proportional Assessment) approaches, potential advantages are taken into account and prioritized. By highlighting current trends and possible advantages in the industry, this editorial seeks to provide insight into the present state of employing ChatGPT in enterprises and research. ChatGPT may also learn biases from training data and create replies that reinforce those biases. As a result, enterprises must train and fine-tune ChatGPT to specific operations, set explicit boundaries and limitations for its use, and implement appropriate security measures to avoid malicious input. The study highlights the research gap in the dearth of literature by outlining ChatGPT's potential benefits for businesses, analyzing its strengths and limits, and offering insights into how organizations might use ChatGPT's capabilities to enhance their operations.

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.

Effect of Ghatti gum content on mechanical properties of epoxy composite using multicriteria optimization techniques

In the recent years particles-based composites are more attractive due to many of the applications. The reinforcing of particles, micro or nano powders enhanced the properties by crosslinking with polymers. The partial based polymer composites are playing a major role in enhancing the strength of pure resins. In many of common particle reinforcements materials are fly ash, Nano clay, silica powders etc… these are more predominately used to enhance the properties of the pure resin and even with fiber reinforced composites. This paper focuses on the effect of microns size natural powder reinforcement in synthetic resin to evaluate the tensile, flexural, impact and hardness properties behavior of composites. The Gum Ghatti which is obtained from the plant and processed to obtain the powder. The 5, 10, 15 and 20 % of gum Ghatti natural powders are reinforced in Araldite LY 556 (Bisphinol-A-Diglycidyl-ether) epoxy resin to observe the mechanical strength and interfacial adhesion strength between matrixes with reinforcement materials. These composites are post-cured at 80℃ for three hours to improve the residual stresses. The 10% natural particular reinforcement exhibits better tensile and flexural properties as compared to other compositions. However, Barcol hardness number of 15 percentage of reinforcements shows better. These mechanical properties are further analyzed using MCDM techniques to identify best weight fraction. The Preference Selection Index (PSI), Multiobjective Optimization on The Basis of Ratio Analysis (MOORA), Combinative Distance-based Assessment (COMDAS), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods are used and observed that 10% gum Ghatti exhibited better mechanical properties.