Profile Matching Method Research Articles

Decision Support System for Selecting Casual Daily Workers to Become Permanent Employees Using the Profile Matching Method

Information is the result of processing data from one or more sources, which is then processed to provide value, meaning and benefits. In modern times, the use of technology plays a very important role as a means of information and promotion, especially in the field of websites in delivering information. Technological advances in the field of computers are very helpful in the current decision-making process. One method of decision support systems is profile matching. This method is used to determine the assessment in selecting daily employees to become employees. Profile matching is broadly a process of comparing individual competition in job competition so that the difference in competition (also called gap) can be known, the smaller the gap produced, the greater the weight of the value which means that there is a greater chance for employees to occupy the position. After the calculation using the Profile Matching method, the ranking value that meets the requirements is in the alternative with the name of the worker, namely Bakhtiar with a score of 4.535 and is recommended to become a permanent employee. By applying this method, it is very helpful in determining the selection of casual laborers to become permanent employees.

Rancangan Sistem Pendukung Keputusan Pemilihan Calon Pegawai Honorer Pemerintah Kabupaten Lamandau Menggunakan Metode Profile Matching

This study aims to design a Decision Support System (DSS) that implements the Profile Matchingmethod for the selection of honorary employees in the Lamandau District Government. The oftennon-systematic selection process results in less objective decisions, necessitating a system that canenhance effectiveness and transparency in decision-making. The Profile Matching method is usedto compare the profiles of candidates with predetermined criteria, leading to a fairer and moreaccurate selection process. Data were collected through interviews with relevant stakeholders inthe Lamandau District Government, which were then analyzed to identify appropriate selectioncriteria. The findings indicate that the application of DSS can reduce subjectivity and improveclarity in the evaluation process. Additionally, the designed computer-based system facilitatesfaster data processing and presents information in a more comprehensible manner. Thus, thisresearch is expected to make a significant contribution to the development of employee selectionsystems in local government and enhance the quality of human resources in public service. Theimplementation of information technology in DSS is anticipated to serve as a reference for futureresearch in decision-making and human resource management.

Sistem Pendukung Keputusan Penilaian Kinerja Aparatur Desa Berbasis Web Menggunakan Metode Profile Matching (Studi Kasus: Desa Wee Limbu)

The problem raised is how to build a web-based decision support system for village apparatus performance assessment using the profile matching method, Kashus study at the Wee Limbu village office, southwest Sumba district. help carry out assessments using the profile matching method which is carried out to determine the apparatus' recommendations in the assessment system based on behavioral aspects, this decision making process is assisted by a decision support system. One of the methods used is Profile Matching, which is a method that compares the criteria for which alternative candidate places are selected. The road is suitable to be built according to the criteria determined by the Verification Body so that a difference value is obtained which is usually called the gap value. The decision support system designed is a web-based decision support system for assessing apparatus performance using the profile matching method

A Multi-Criteria Decision Making for Employee Selection Using SAW and Profile Matching

Multi-criteria decision making process has been one of the fastest growing areas during the last decades depending on the change in the business sector. Multi-criteria decision making is the most important branch of operation research by which people make complex decision daily life. The major steps in the decision- making approach are selecting the most preferred alternative for the decision-maker, ranking alternatives in order of importance for selection problems, and screening alternatives for the final decision. Employees are an important element of a company that determines its progress. Conventional (manual) recruitment methods are vulnerable to non-technical factors, such as frequent duplication or invalid data. In this study, simple additive weighting and profile matching are proposed to solve the employee selection problem. This study was conducted at the (UPT) Career Development and Entrepreneurship Universitas Brawijaya Malang using data collected from written test selection in 2019. The effectiveness of both methods was analyzed using confusion matrix. The SAW method provides an accuracy rate of 94.7%, a precision rate of 87.5%, Recall rate of 91.3% and F-measure rate of 89.4%. On the other hand, profile matching method obtained the Accuracy rate of 90.4%, Precision rate of 81.4%, Recall rate of 81.4% and F-measure rate of 81.4%. Thus, it can be concluded that both methods have high accuracy values accompanied by high precision values when used for the selection process. This system can also effectively reduce the bias rate of the same data very well, as can be seen from the high recall and F-measure rates.

Isolation and Identification of Acid-Forming Bacteria in Arabica Coffee Fruit (Coffea arabica) During Wet Fermentation

The distinctive flavor and aroma possessed by Arabica coffee are an attraction for coffee enthusiasts. Post-harvest processing of coffee such as coffee fruit fermentation also contributes to the formation of the flavor and aroma of Arabica coffee. In this study, spontaneous fermentation was conducted by adding distilled water, with treatments on fermentation days 4 and 7 aimed at detecting acid-forming bacteria that played a role in the fermentation process. The bacterial isolates were characterized through macroscopic and microscopic observations, physiological, and biochemical tests. Identification of bacterial isolates was performed using the profile matching method based on Bergey’s Manual of Systematic Bacteriology (Holt et al., 1994) and Axellson (2004) until the genus level. The identified bacterial genera were Asaia, Gluconobacter, Neoasaia, Saccharibacter, and Lactobacillus.

Recommendation System for Determining the Best Banner Supplier Using Profile Matching and TOPSIS Methods

Background: Choosing a banner supplier is a significant challenge for digital printing companies due to the various advantages offered by each supplier, often leading to selections based on subjective aspects such as price and quality. Objective: This research aims to develop a system that determines the best banner supplier to minimize production inefficiencies and maximize profits by comparing two calculation methods, Profile Matching and TOPSIS. Methods: A quantitative study was conducted using transaction data from the last six months. The parameter criteria used in this system include price, quality, delivery, availability, and payment terms. The study compares the effectiveness of Profile Matching and TOPSIS methods in identifying the best supplier. Results: The study results show that the TOPSIS method is superior, yielding 100% accuracy, 84% recall, and a 92% F1-score, outperforming the Profile Matching method. This demonstrates that the correct method and algorithm effectively provide the best alternative recommendations. Conclusion: The results indicate that using the TOPSIS method leads to more accurate and objective decisions based on predetermined criteria. The findings suggest that further research should focus on refining these methods to enhance decision-making in supplier selection.

Determination of MSMEs Business Feasibility Decisions using the Profile Matching Method

Micro and Medium Enterprises (MSMEs) in Bali contribute to the local economy. When operating a business, it is crucial to evaluate the viability of MSME enterprises to enhance the calibre of business offerings and services. Nevertheless, the lack of competence to establish the parameters or criteria for evaluating the viability of a firm poses challenges for MSMEs in decision-making. This study presents a business feasibility assessment model utilising the Profile Matching method to aid in resolving issues and supporting Micro, Small, and Medium Enterprises (MSMEs) in making informed decisions for the long-term viability of their businesses. This study examines the feasibility of MSME businesses using the Profile Matching method. The method involves assessing 13 criteria and selecting from 10 alternatives. The process includes determining initial and target values, weighting criteria, grouping core and secondary factors, calculating total values, and ranking. The final results indicate which MSMEs are feasible and which ones require further evaluation. According to the calculations using the Profile Matching method, MSME 5 has a value of 27.80, indicating its feasibility.

Implementation of the Profile Matching Method in a Football Player Position Decision Support

This study aims to overcome this issue by objectively determining the best positions of the soccer players through the application of the Profile Matching technique. The process consists of five steps: GAP values are first determined by comparing each player's unique traits to predetermined benchmarks. Next, compute the primary and secondary standards, establish weighted scores by utilizing the GAP values, compute the GAP values by contrasting specific player attributes with predetermined benchmarks, compute the overall scores, and order players according to their performance. A weighted combination of mental, physical, and skill criteria (30, 40%, and 30%, respectively) determines the final positions. The results demonstrate how effectively this rigorous technique scores the participants. This process offers a logical and objective approach to player selection, enhancing the precision and effectiveness of decision-making in soccer team management.

PENERAPAN METODE PROFILE MATCHING PADA SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN PASIEN UNTUK SUNTIK VAKSIN COVID-19 BERBASIS WEB

The handling of the COVID-19 pandemic is not only carried out in terms of implementing health protocols but also interventions with vaccinations as part of efforts to prevent and control COVID-19. In implementing the current vaccine, there are still many errors in administering vaccines to people who are not eligible or should not be vaccinated, this is due to the ignorance of the people who will receive the vaccine regarding the criteria that need to be considered before receiving the COVID-19 vaccine. So that this ignorance has resulted in victims, where vaccine recipients have fainted, some have even resulted in death. The purpose of this study is to apply the profile matching method to a decision support system for patient eligibility to inject the Covid-19 vaccine. In this study the system was built using a web-based programming language, and using MySQL to accommodate data. As for the process of evaluating the eligibility of patients given vaccine injections using the profile-matching method. The results of this study can help simplify and speed up the due diligence process to determine the administration of the COVID-19 vaccine injection to patients/the public, and can make it easier for the public to access information regarding their eligibility to be given the Covid-19 vaccine, as well as provide a sense of security in receiving the Covid vaccine -19.

Metode Profile Matching Dalam Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik

Tri Jaya Mart has implemented a best employee selection system to motivate its employees to have a better career path. However, the selection of employees currently only looks at one employee with the highest attendance rate every month and if there is the same then it is chosen subjectively. Selection in this way, researchers feel less effective because it only uses one criterion by not paying attention to other supporting criteria and often more than one best employee candidate is obtained. As well as conflicts between employees due to injustice during promotion. The purpose of this research is to find out the best employee selection process that is currently running where currently out of five employees who work at Tri Jaya Mart, in the process of selecting the best employee, implementing the profile matching method in making a decision so as to provide alternative problem solving in choosing the best employee to be promoted to store manager. In this study using three criteria, namely aspects of work attitude, personality aspects and intelligence aspects. From several steps that have been applied using the profile matching method, the results obtained are the right decision and as expected for stakeholders in choosing the best employee in the order of employee two, employee four, employee one, employee three and employee five.

PENERAPAN METODE PROFILE MATCHING DALAM SISTEM INFORMASI SELEKSI BEASISWA PADA SMA NU 03 MUALLIMIN WELERI

Providing Scholarships is a work program that exists in every school. The scholarship program was held to ease the burden on students during their study period, especially regarding costs. Providing scholarships to students must be done selectively according to the type of scholarship being provided. Scholarships are income for those who receive them and the purpose of the scholarship is to help ease the burden of educational costs for students who receive scholarships.
 One of the methods used to determine potential scholarship recipients is profile matching because it is able to select the best alternative from a number of alternatives, in this case the intended alternative is those who are entitled to receive a scholarship based on specified criteria. The research was carried out by determining the aspects and sub-aspects and looking for the weight value for each sub-aspect, looking for the GAP between the profile and the state of the students' data. By using this method, the presentation of the two aspect elements is determined and added together, then a ranking process is carried out which will determine the optimal alternative, namely the student with the highest score. There are two forms of scholarship recipients used in this research, namely based on family economics and based on student attendance.
 The final result of this research is a decision support system for determining prospective scholarship recipients who are able to provide solutions in the form of ranking results from the Profile Matching Method selection based on predetermined criteria.

Sistem Pendukung Keputusan Menentukan Lokasi Pembangunan Jaringan Internet Menggunakan Metode Profile Matching

Decision Support Systems are interactive information systems that provide information, modeling, and data manipulation. This system is used to assist decision-making in semi-structured s and unstructured situations, where no one knows for sure how the decision should be made. The problem in this study is, determining the location of Internet network installation by BeeBeeNet, carried out based on the company's decision to determine a new location to build an Internet network in a new area, namely by surveying the area, as well as looking at the population density in an area and the current interest of the community. The purpose of making a Decision Support System for determining the location of building an internet network is to determine the right location. The method used in this research is the Profile Matching method, which is a Decision Support system in the location criteria determined by PT Batanghari Vision so that the difference in competence (GAP) can be known. The results obtained are the results of ranking using the profile matching method, using several candidates to get results in determining the new location for building an internet network, from the calculations carried out the highest value is 2.9555, this value is the highest value of the existing location criteria. the results obtained can be the right result for the company to choose the location of the internet network construction in the new location.

Implementation of Profile Matching and Linear Interpolation Methods for Web-Based Employee Selection System of PT Berdikari Meubel Nusantara

Recruiting employees by means of good selection can show the company's expertise to get competent candidates to support the company's performance well. Employee recruitment at PT BERDIKARI MEUBEL NUSANTARA was done manually and produced subjective decisions when the ability of prospective employees was not too different.To overcome these problems,this research was made to assist recruiters (HRD) in selecting and choosing prospective employees according to company needs, therefore researchers created a Decision Support System (DSS).Decision Support System (DSS) uses the Profile Matching and Linear Interpolation method, so that the method can work well it requires several criteria for prospective employees and is able to provide alternative recommendations and in accordance with the company's needs.The results of the research on the application of the Profile Matching method with Linear Interpolation can assist users in providing recommendations for prospective employees according to what the company expects, the value of the core factors and secondary factors greatly affect the results of accuracy because both are used in the assessment, it will be recommended the results of the total score and sorted b who gets the highest total score.This application is considered effective by obtaining User Acceptance Testing of 99.33% and this decision support system can help companies in selecting employees according to company needs.

Sistem Rekomendasi Produk Sunscreen Berdasarkan Jenis Kulit Menggunakan Metode Forward Chaining Dan Profile Matching

Skin, as the outermost organ that protects the human body, is susceptible to exposure to external factors such as UV rays, pollution and chemicals, which can have a negative impact and worsen its appearance. Therefore, protecting the skin by using sunscreen is important. The diversity of sunscreen products and skin types sometimes makes it difficult for consumers to choose the right product. To overcome this problem, forward chaining and profile matching methods are applied. Forward chaining is used to determine facial skin type based on existing symptoms to reach conclusions. Next, the Profile Matching method is used to recommend sunscreen products that suit user preferences, by selecting the best alternative based on existing criteria. It is hoped that this research can provide solutions for consumers in choosing the right sunscreen according to their skin type, minimize skin problems that may arise, and increase the comfort of using the product. It is hoped that this research can provide solutions for consumers in choosing the right sunscreen according to their skin type, minimize skin problems that may arise, and increase the comfort of using the product.

Sistem Pendukung Keputusan Pemilihan Berita Online Yang Akan Terbit Pada Perusahaan Media Online PT. Zaki Angkasa Hamdani Dengan Menerapkan Metode Profile Matching

Online news selection is the activity of selecting several news stories by assessing each news item based on existing criteria, this process is carried out by the Editor-in-Chief. News that is interesting and has high value will be placed at the front and become the main news. Packaging in news media has its own appeal, because it will attract people to read news in each news media. Inaccuracy in selecting online news and the length of the news selection process. So the online news that is published often does not provide accurate information, and can have a negative impact on readers. Based on the problems above, a decision support system will be built to determine the selection of online news that will be published using the Profile Matching method. In this research, the Profile Matching method is applied with the aim of providing the best solution in determining the selection of online news that will be published on PT. Zaki Angkasa Hamdani. Based on the criteria set by PT. Zaki Angkasa Hamdani used in this research, namely: News Title, News Writing, Data Completeness and Data Quality. This aims to make it easier to determine priorities for selecting online news that will be published more quickly and accurately so that later it can be more helpful to PT. Zaki Angkasa Hamdani in determining the selection of online news that will be published on PT. Zaki Angkasa Hamdani. Based on the results obtained from the ranking value for the selection of online news that will be published, there is a news with the title Pegasus Pancur Batu Police Ringkus HP Robber (A2) with a value of 6,964, so it can be proposed as online news that will be published based on the results of the selection that has been carried out.

Building Maintenance Priority Decision Support System Using the Method Profile Matching

Along with the increasing age of a building, maintenance activities become things that need to be done to minimize damage that occurs such as damage to the ceiling or ceramics. Therefore, this study aims to determine the priority of building elements in the treatment of architectural components in buildings A and B ITK campus using Profile Matching method. Based on the results of analysis and observations in the field, the elements that are the main priority in the architectural component of Building A are ceiling elements, the second priority element is sanitary elements, the third priority element is floor elements and door and window elements, the fourth priority element is painting elements, and the last priority element is Wall pair elements. Whereas in the architectural component of Building B, the main priority elements are ceiling elements and sanitary elements, the second priority element is the wall pair element, the third priority element is the floor element and the door and window element, and the last priority element is the painting element.

Sistem Pendukung keputusan Pemilihan Bibit Cabai Unggul Berbasis Web Menggunakan Metode Profile Matching di Kab. Langkat Sumut

Chili plants are one of the leafy foods with excellent business prospects. Because of their capacity for development, chili plants are a quality commodity and a significant part of Indonesian horticulture. Because of the strong demand for chili both domestically and internationally, chili becomes a potential item. Farmers often find difficulty to determine the chili seeds. The difficulty of determining good chili seeds often causes some farmers failed to harvest and experience considerable losses. Therefore identifying chili seeds is one of the right solutions compared to buying chili seeds at a fairly high price. Naturally, the process of choosing the best chili seeds is based on pre-established standards. In this study, the profile matching method was used to create a decision support system for selecting the best chili seeds. PHP and MySQL were used to create this system. The goal of developing this method is to facilitate farmers' selection of premium chili seeds. In the province of North Sumatera, Langkat Regency agriculture department provided data for this study, along with information from resource people, books, and other literary works. Based on predetermined criteria, the research produced a rating of the best chili seeds, from highest value to lowest.

Selection of High School Majors using a Decision Support System for Students at SMPN 210 Jakarta Using the Profile Matching Method

The selection of a high school major is a pivotal decision that profoundly impacts a student's prospects. This research endeavors to enhance this decision-making process by introducing a Decision Support System (DSS) employing the Profile Matching Method at SMPN 210 Jakarta. The Profile Matching Method is meticulously crafted to offer personalized major recommendations based on students' interests, skills, and aspirations. Employing a quantitative approach, the study scrutinizes student data alongside major prerequisites to formulate a streamlined DSS. The research findings underscore that the application of the Profile Matching Method within a DSS empowers students to make well-informed decisions, streamlines the major selection process, and optimizes the utilization of educational resources within SMPN 210 Jakarta. This implementation holds the potential to foster positive transformations in high school major selections and fortify educational advancements at SMPN 210 Jakarta.

A Decision Model to Support the Selection of SENKOM Personnel Using the Profile Matching Method with the Capability of Cyber Security

The very rapid development of information technology has brought tactical and strategic advantages, but it can also be a potential attack from opposing parties on the information and communication systems and networks used, thus opening the way for the emergence of a new war, namely cyber warfare. Cyber attacks are a new threat to Adisutjipto Air Base, which targets vital parts that can impact the organization and make the command and control system ineffective and inefficient. One of the important elements of Adisutjipto Lanud in facing cyber attacks is the readiness of data and communication network security personnel. In the direct or conventional personnel selection process, it is not possible to see the abilities possessed by prospective data security personnel, both in terms of skills, management aspects, analytical aspects, competency weight, and so on. A decision support system can be used to assist decision-making based on existing criteria. This research is limited to only considering the selection of personnel who will become members of komlek or senkom who are responsible for data security and communications networks at Adisutjipto Air Base. In this research, the method used is the profile matching method. The concept of the profile matching method is to compare the selection using the conventional method with the decision support system method in selecting komlek/senkom personnel as cyber security personnel so that differences in competency can be identified, also called GAP (Gross Across Product). The smaller the GAP produced, the greater the weight of the value. large, this means that personnel who meet the requirements have a greater chance of someone occupying that position. The final result of this research is to obtain ranking information for each cyber security candidate based on profile matching calculations to be able to carry out tasks optimally in securing data and networks at Adisutjipto Air Base.

Design of a Smart Application (Limbekfeed) Using the Profile Matching Method in Determining the Dosage of Catfish Feeding

In catfish farming, providing the right feed is crucial for optimal growth and health. However, determining the accurate dosage of feed that is suitable for individual catfish can be complex and time-consuming. To address this challenge, we have developed an intelligent application called "Limbekfeed" using the Profile Matching method for determining the dosage of catfish livestock feed. The prototype of this application leverages the Profile Matching method, which connects the profile of the catfish with the feed profiles available in the database. Users input data such as size, weight, age, and water quality. The prototype application then compares this data with the predefined feed profiles in the system and provides recommendations for the most suitable feed dosage. Test results indicate that the "Limbekfeed" application prototype is expected to provide feed dosage recommendations to help farmers avoid the risks of overfeeding or underfeeding.