Multifactor Evaluation Process Research Articles

Multifactor Evaluation Process for a Decision Support System for Selecting the Best Students

The utilization of information systems can significantly contribute to enhancing efficiency and service delivery at MA Daarul Falah, an educational institution in Pondok Pesantren Daarul Falah. Previously, there were often issues with subjective assessment of high-achieving students and inadequate archiving of previous years' assessment records. This study aims to expedite the collection of student assessment data from each class, automate the student grading process, and improve the objectivity of the school's assessments of all students. The method employed in this research is the Multi-Factor Evaluation Process (MFEP), implemented using the PHP programming language. The results of the study indicate that students who receive a total evaluation score above 90.00 are considered eligible to serve at Pondok Pesantren Daarul Falah, while those who score below 90.00 are deemed ineligible to serve there.

Sistem Pendukung Keputusan Dalam Penilaian Kinerja Karyawan Rumah Sakit Menggunakan Metode Multi Factor Evaluation Process

Employees are a resource that is a supporting factor for a company or organization. Having employees who meet qualification standards can develop the company and increase company productivity. Employee performance assessments are carried out looking at the company's success in organizing employees and determining the level of employee loyalty and professional performance towards the company. Petukangan Hospital has a large number of employees ranging from health workers to management employees and others. Currently there is no system used to evaluate employee performance, so the assessment process takes a long time and is not timely and there is an element of subjectivity in the assessment. Therefore, we need a system that can help assess employee performance with the aim of the research as an alternative in systematically and objectively assessing employee performance according to the weights and criteria obtained by each employee. In this research, the method used is the Multi Factor Evaluation Process of a Decision Support System, where this method carries out an assessment by calculating weights and criteria. The aim of this research is to provide the best solution and tools for Petukangan Hospital in assessing employee performance, and this research is expected to have benefits that can become effective and efficient problem solving. This research has results obtained from testing in the form of a ranking system where employees with the highest total evaluation score is the employee with the best performance score. The calculation results show that the employee with the best performance and rank 1 is Employee 26 with a value of 0.8375.

Evaluation of New Employee Selection using the Multi Factor Evaluation Process Method

The process of accepting and selecting prospective employees is the earliest process for a company to get quality employees that the company or agency needs. Companies must have criteria for the employees they want. On CV. Adtuil Photocopying in recruiting employees is still less efficient, namely prospective employees still send application files to the company or via expedition delivery. So HRD will have difficulty in selecting prospective employees because they have to record and double-check incoming application files as well as the process of determining the right criteria . Solutions used to overcome problems on CV. Adtuil uses a decision support system for selecting new employees, using the Multi Factor Evaluation Process (MFEP) method. This method is quantitative which uses a weighting system in decision making. Application design using the Vb programming language. Net and MySQL databases that can manage data quickly and accurately. The results of this research show that there were 3 employees who received 10 alternative data, namely A1, A5, A9 with scores > 75. After using this decision support system it can help CV. Adtuil Photocopy in determining employee acceptance precisely, quickly and accurately

Decision Support System for the Presidential Election of the Student Executive Board Using the Multi-Factor Evaluation Process Method

Student Executive Board is a student organization or executive institution found in every tertiary institution and can represent the existence of a tertiary institution. The student Executive Board is headed by the Student Executive Board President, who is assisted by the Secretary-General, three Coordinating Ministers, and several ministries that represent student needs. In carrying out its function as a forum for student aspirations to make changes (agents of change) in paradigm, emotional, intellectual, and religious values, the Student Executive Board requires student candidates who are in synergy with their vision and mission. The Student Executive Board Presidential Election is usually held every year. A decision support system (DSS) was built by implementing the Multi-Factor Evaluation Process (MFEP) method to easily and efficiently elect the Student Executive Board President quickly and efficiently. The criteria used are communication skills (C1), leadership attitude (C2), vision and mission (C3), skills (C4), and organizational experience (C5). Each criterion is weighted where the total weight of all criteria equals 1. Next, calculate the evaluation weight value (EW), total evaluation weight (TEW), and ranking. The research results show that alternative 7 (A7), with the highest score of 4.35, is the student candidate with the top ranking, meaning A7 is the most recommended to be elected as President of the Student Executive Board. With this DSS, we can provide appropriate recommendations for Student Executive Board Presidential candidates and assist universities and students in carrying out the selection process quickly and efficiently.

Determining Alternative Mechanical Quality of Aluminum for Making Ordered Equipment Using the Multifactor Evaluation Process (MFEP) Method

Many various types of industrial companies use aluminum to support their industrial productivity. One of the reasons companies use this aluminum material is because aluminum is a good electrical conductor, light and strong. In determining which aluminum metal is suitable to be used to make ordering equipment, of course the metal with the best quality must be chosen so that the production of aluminum equipment is in demand by many consumers. Multi Factor Evaluation Process (MFEP) method, all criteria which are important factors in making considerations are given weighting. (weighting) is appropriate. Decision making using the Multi Factor Evaluation Process method is carried out subjectively by considering several factors that influence alternatives. While selecting metal, SMEs still record manually, so it takes quite a long time to make decisions. Not only that, determining the quality of aluminum metal also involves visual observations just by looking at the durability and assessing the physical metal. To overcome the problems faced by the old system. then a new system was formed, where the selection process could be carried out by Toko Berkah Qory Siregar Aluminum without waiting a long time . The results obtained based on calculations are Aluminum A, namely Blue Sky Aluminum with a preference value of 100.

Sistem Monitoring dan Evaluasi Kinerja Dosen Menggunakan Metode Multi Factor Evaluation Process

Monitoring and evaluating the performance of lecturers at the Faculty of Engineering, Tamansiswa Bachelor Wiyata University, the system that has been running has experienced many problems with the increasing number of active students and limited human resources. The evaluation of the learning questionnaire is filled out through the Google Form and the lecturer's data performance is processed using software such as Microsoft Office Excel or the like. In this study the aim was to produce a system that could support learning monitoring and evaluation activities in measuring the level of lecturer performance. The system is needed to process data as a tool to input and report on monitoring and evaluating lecturer performance. The method applied is the Multi Factor Evaluation Process (MFEP) using four criteria, namely pedagogic, professional, personality and social competence. Based on the results of the tests that have been carried out, the lecturer performance monitoring and evaluation system can provide decisions in the form of lecturer performance levels. The system can be used at several user levels, namely faculty academics, heads of study programs and Gugus Mutu Prodi (GMP) in assessing or measuring lecturer performance.

Decision Support System for Selecting the Best Cryptocurrency Mining Machine Using the Multifactor Evaluation Process Method

Cryptocurrency mining is a process carried out using a specialised computer network in order to obtain new crypto assets. The cryptocurrency mining business in today's digital era is increasingly in demand by netizens. Many netizens run cryptocurrency mining businesses to generate new cryptocurrency assets that can be traded on the cryptocurrency market to earn huge profits. In doing cryptocurrency mining itself, it is necessary to be careful in choosing the cryptocurrency mining machine used to get the maximum profit. In this study, researchers proposed the Multifactor Evaluation Process as a decision support system method used to simplify the process of selecting the best cryptocurrency mining machine. The results of this study show that the best cryptocurrency mining machine that is most recommended to use is Cheetah Miner F5I (0.2120), followed by the alternatives iBeLink DSM7T Miner (0.2072), Bitfury RD4 (0.2016), Aladdin T1 16T (0.2016), and Obelisk SC1 Dual (0.1800).

Aplikasi Pendukung Keputusan dalam Mengukur Tingkat Kepuasan Pelayanan Publik menggunakan Metode MFEP

Services that are said to be excellent are services provided by public service providers, namely the government in an effort to meet the needs of people who receive services and are carried out in accordance with the law. The low quality of services provided to the community certainly has an impact on decreasing public trust in the government. The purpose of this study is to build a decision support system using the Multi Factor Evaluation Process (MFEP) method to measure the level of public service satisfaction in the range sub-district area. In building this system, we apply the waterfall model with stages of analysis, design, implementation, and testing. Analysis is carried out to collect the needs in building this system and analysis using the MFEP method. The criteria used to measure service satisfaction are five criteria, namely certainty of time, comfort, loyalty, responsibility, and task completion. The design of the system we built, consists of use case diagrams and flowcharts. At the implementation stage, a system is made using the web-based MFEP method. Meanwhile, testing on this system uses a black-box to see the functionality of the product. Our findings are in the form of a system that can provide decisions to determine the level of public satisfaction. The results of the analysis showed that the service section was selected as an assessment of the level of public satisfaction with a value of 3,766. In addition, the results of black-box testing show that this system is functioning properly without any errors.

IMPLEMENTATION OF THE MFEP METHOD IN DETERMINING THE PERFORMANCE OF VILLAGE GOVERNMENT APPARATUS BUHUNG SIBATU STONE

The village government is a government that channels the aspirations of the people from the community to the hamlet head and to the village hall led by a village head. A village head must be able to regulate and direct the apparatus to carry out quality government services. One of the methods used by the Village Head to improve quality services is to determine the performance of the government apparatus at the Village Hall Office. This method aims to determine the level of quality of the apparatus in the sub-district office. Apparatus assessment was also carried out by Bahung Sibatu Batu Village to determine the level of quality of the apparatus in the Village Hall Office. However, the assessment carried out now is still done manually on the assessment sheet and is still subjective, because there are no aspects of the assessment used in evaluating the performance of this apparatus. In assessing the performance of the apparatus of Bahung Sibatu Batu Village by evaluating which apparatus matches the criteria with the Village Head. The criteria for determining the performance of the apparatus include attendance, attitude, loyalty, responsibility and task completion. In addition to still using the conventional system, the closeness of the Village Head with employees often results in decisions that are different from what they should, this causes the results of the decisions to be inaccurate, so a decision support system is needed using the Multifactor Evaluation Process (MFEP) method.

APPLICATION OF MULTI FACTOR EVALUATION PROCESS (MFEP) METHOD FOR THE SELECTION OF BUILDING MATERIAL SUPPLIERS ON MAHAKARYA SUKRI PERKASA (MSP) CIREBON

The property sector is growing along with the increasing need for housing by people in Indonesia. Mahakarya Sukri Perkasa (MSP), is one of the companies engaged in property and housing development. Supplier selection is one of the essential aspects that ensure the smooth operation of the company. From January to May 2021, MSP received 10 consumer complaints from 60 housing development units. Consumers complained that the housing that had been built and occupied suffered damage to certain parts after several months of use. One of the causes of damage is that the quality of the building materials used is not good. This happens because when choosing a supplier for the purchase of building materials, the MSP decides on the cheapest price list of goods. If consumer complaints increase continuously, it will of course result in a decrease in the level of consumer confidence which will reduce MSP income. MSPs need a decision support system that can produce detailed supplier recommendations. The calculation method used in this study is MFEP (Multi-Factor Evaluation Process). There are 5 assessment criteria used, namely price, quality, the diversity offered, supplier response, and delivery time. The results of highest Weight Evaluation test results are 0.86 obtained by Cirebon Mega Bangunan (CMB) with an initial weight of 0.6 price factors, quality 1, the diversity offered 1, supplier response 1, and delivery time 0.6.

Analisis Perbandingan Metode SMART Dan MFEP Dalam Menentukan Driver Bus Terunggul Pada PT. Putra Pelangi Perkasa

Human Resources (HR) in a transportation companies may affect many aspects that determine work success, especially the drivers. Competition among drivers is getting tougher, hence the companies face difficulties in finding the best bus drivers. Nevertheless, the assessment still uses the traditional method, namely by using a book as the calculation. The study used the Simple Multi-Attribute Rating Technique (SMART) and Multi Factor Evaluation Process (MFEP) methods to rank drivers’ performance in terms of discipline, knowledge, loyalty, and years of service. The system used in this study also compares the two methods with the actual rank from the company. The population in this study was 90 respondent, with a sample data of 10 drivers. The results show that the SMART method is closer to manual ranking, which has 7 similarities out of 10 ranking sequences or 70% accuracy rate with the manual calculations. On the other hand, only 4 similarities out of 10 ranking se-quences were generated by the MFEP method. Thus, the MFEP method only has a 40% accuracy rate with manual calculations. To sum up, the research created a decision support system that has certainty in choosing the best bus driver to assists the leaders to find the best driver to get an exclusive bus.

Sistem Pendukung Keputusan Seleksi Tenaga Fasilitator Lapangan BSPS Menggunakan Metode Multi Factor Evaluation Process

Field facilitator workers shall guide the Self-Help Housing Stimulant Assistance Program (BSPS) recipients intensively, either in technical matters or the fund use realization process during construction terms. Guidance is given from planning, implementing a construction, and forming an assistance recipient community group that can construct decent housing independently. Accordingly, field facilitator workers are imperative to guide the BSPS recipient community. Public Works and Spatial Planning Office in Gorontalo is still selecting field facilitator workers manually, bringing on assessment errors in the selection process, e.g., selecting field facilitator workers that do not fulfill the requirement. Additionally, the sheer number of applicants overwhelms staff as they have to face off piling files of applicants. It brings about a longer selection process. As such, a systematic selection process based on the determined criteria is important. Later, it can act as a reference. It is called a decision-supporting system. Our decision-supporting system aims to help make decisions to select field facilitator workers guiding the BSPS recipient community using the Multi-Factor Evaluation Process (MFEP) method. The results point out Bambang achieved the highest final score of 87.675. Hence, MFEP in the supporting system is a recommended method to make decisions to select field facilitator workers guiding the BSPS recipient community in building decent housing.

Mengukur E-Participation Masyarakat di Era Transformasi Digital dengan Metode Multi Factor Evaluation Process (MFEP)

The digital transformation era provides an opportunity for the public to exercise their right to information, where public agency is required to provide documents and information through Pejabat Pengelola Informasi dan Dokumen (PPID). This openness promises an important role for public participation through electronic access to information (E-Information), access to electronic consultations (E-Consultation), and participation in electronic decision-making (E-Decision Making). These three indicators are referred to as E-Participation. However, their implementation has encountered obstacles, leading to the need for research on E-Participation in the current community environment. This study employs a Soft System Methodology approach, specifically the Multi-Factor Evaluation Process (MFEP) method. The objective is to identify the indicators and criteria used in E-Participation, and to determine the level of E-Participation usage in Central Java based on the indicators used. The criteria used in this study pertain to the willingness of both the government and society, as well as the availability of infrastructure and information. The ranking results of the level of E-Participation indicate that public E-Participation is at an average level, where E-Information is the highest strengthening indicator, followed by E-Consultation, and E-Decision Making is the lowest.

Sistem Penentuan Pemberian Surat Izin Gangguan pada Industri menggunakan Multi Factor Evaluation Process

Establishing a business or industrial place must obtain a permit from the government which aims to protect the surrounding community to be protected from the possibility of disturbance or pollution caused by the industry. Therefore, in order to achieve this, it is necessary to have a system that automatically provides accurate and quick decisions in determining which company or industry is worthy of being granted a business license. The purpose of this study is to build a decision support system in determining business premises or industry hinder ordonantie permits using the Multi-Factor Evaluation Process (MFEP) method. This research stage consists of analysis, design, testing, and implementation adopted from the waterfall model. Data collection was carried out by interviews and observations. The data analysis technique used is the MFEP method to determine the final decision in granting nuisance permits to companies or industries. Samples or training data totaling 30 industry names in the Asahan Regency area. This system is tested with a black box which aims to find out if all components in the system are running well. Our findings show that the system we have created is appropriate based on the results of the analysis using the MFEP method. In addition, the results of black box testing show that all components in this system are valid and functioning properly.

Decision Support System for Promotion Selection using the Multi Factor Evaluation Process Method

Company PT. ALS is a ground transportation service company that transports passengers between cities and provinces. Buses from PT. ALS has been a mainstay and pride of the community, especially in its timely service in taking passengers to their destination. Promotion at PT. Currently, the ALS assessment process for selecting employee promotions is carried out by supervisors in each division who directly evaluate employee performance. Then in the process of selecting the position of the candidate who has the highest score based on certain criteria who will occupy the required position in accordance with the required criteria. Data calculations are done manually using Microsoft Excel but have not used the computer system optimally. The basis for this research is to help PT. ALS in making a decision in selecting employee promotions. Position is a group of positions that are almost the same in an agency, institution or company. For employees, the results of the assessment can be used as feedback on work performance, so that they have a basis for consideration for planning their career development. This research will be conducted using the Multi Factor Evaluation Process method by processing several criteria for decision making. Meanwhile, on the other hand, the results of this assessment can be used by the company to base decision-making in terms of reward system (compensation), promotion, training and career planning.

Penerapan Metode MFEP Berbasis Web Pada Sistem Pendukung Keputusan Penilaian Kompetensi Soft Skill Pegawai

An agency cannot be separated from the role of human resources (HR) who work in it. The quality of human resources is one of the factors to increase the productivity of an agency's performance. Human resources are the most important contribution to the growth and development of the agency. Therefore, an agency needs to conduct an employee performance assessment to determine the success or failure of the employee in carrying out his duties. Soft skill competency assessment is a very important issue in managing employee performance. The system that runs at the Subur Village Hall Office in assessing employee soft skill competencies has weaknesses, namely the employee assessment process is still done manually and the data processing process has not used an application program. In addition, the assessment is still subjective and not relevant to the actual situation, so it cannot be used as a basis for objective decision making so that it is difficult to determine the soft skill competency assessment possessed by employees. The purpose of this study is to assist the agency in assessing employee performance quickly and accurately. The research was conducted using qualitative methods with program design using the multi-factor evaluation process (MFEP) method. The results of testing the MFEP method calculation system are close to the results of calculations carried out by the Subur Village Hall Office using the Microsoft Excel application according to the weights on each criterion that have been determined by the Subur Village Hall Office

IMPLEMENTASI METODE MULTYFACTOR EVALUATION PROCESS (MFEP) PEMBERIAN PENGHARGAAN DESA BERSINAR

BERSINAR Village is one of the efforts to prevent and handle drug abuse in the village which is managed independently by the village government together with the village community. In determining the shining village award, a system is needed that can provide effective decisions. The Multifactor Evaluation Process (MFEP) method is one method that can be used in a decision support system. By using the MFEP method, each predetermined criterion is given a weighting according to its needs. Then each alternative is evaluated based on these factors. The alternative with the highest score is the solution in choosing the village that deserves the award. The MFEP method in making this decision uses the Visual Basic 2010 programming language and the MySQL database. So that the application can be used to assist the BNN in making decisions on selecting villages that are entitled to the Shining village award

SISTEM PENDUKUNG KEPUTUSAN PRIORITAS PENYANDARAN KAPAL MENGGUNAKAN METODE MULTI FACTOR EVALUATION PROCESS (MFEP)

PT Pelabuhan Indonesia (Persero) Regional 4 Makassar is a sea port in Makassar, Indonesia. This port has the highest passenger traffic and the largest cargo traffic in Sulawesi. Makassar port is also known as Soekarno-Hatta port. This study aims to create a prior decision support system ship berthing by applying the Multi Factor Evaluation Process (MFEP) method at PT Pelabuhan Indonesia (Persero) Regional 4 Makassar. In this study, a Decision Support System was developed as an alternative in determining the priority of ship docking at PT Pelabuhan Indonesia Persero Regional 4 Makassar by using the Multi Factor Evaluation Process (MFEP) method. This method provides subjective consideration of factors that are considered important. Factors to consider are the length of the dock and loading, type of ship and transportation. The results of this study are in the form of rankings which will later become a benchmark in making ship docking priority decisions.

Pemanfaatan Sistem Keputusan Dalam Mengevaluasi Penentuan Aplikasi Chatting Terbaik Dengan Multi Factor Evaluation Process

The rapid development of chat application features shows that information technology is increasingly global. This study aims to help smartphone users, especially beginners, to be more selective in choosing the chat application that suits their needs. The method used in this study is a Decision Support System with a Multi-Factor Evaluation Process (MFEP) as a solution for solving cases. The dataset used in this study was obtained by distributing questionnaires to respondents at random, both directly and virtually by using the google form to provide an assessment of the questionnaire to some active users of the Chat application. The alternatives used are Messager, Line, Instagram, Whatsapp, and Telegram and the criteria used are storage media, security, display (interface), application features, and network usage. The results obtained indicate that the Whatsapp alternative is the first recommendation as to the best chat application with a final score of 8.l5. Alternative Instagram became the second recommendation with a final score of 7.21 and Messager became the third recommendation with a final score of 6.18.

Sistem Pendukung Keputusan Promosi Jabatan Dengan Kombinasi Metode AHP dan MFEP

Management of PT.Promexx Pusat Stationery is very difficult to make decisions to assess subjective things, for ease of decision making (SPK) to determine a more precise and accurate decision. Promotion is a position according to the evaluation output during work. In the assessment of employees who get good grades, they will be promoted as a form of appreciation for employees while working in accordance with the vision and mission. In this criterion there are several assessments such as K1 (Attendance), K2 (Cooperation), K3 (Performance), K4 (Problem Solving), K5 (Ability). The purpose of this study is to help PT.Promexx Pusat Stationery make decisions about promotion of employees in the company, in this system the researcher uses the Analytical Hierarchy Process method, which is choosing a sustainable value to obtain the ratio value and to make sure the researcher has also combined the Multi Factor Evaluation Process algorithm. on choosing the final result value that will be determined in problem solving. And the result of ranking employees is the total that is obtained from the sum of all the criteria from table 14 for all candidates and will produce a total value. From this research, the highest total score is 92.01 with the first rank.