scholarly journals Implementasi Multi Factor Evaluation Process untuk Penentuan Tempat Pembuangan Akhir Berbasis Web Aplication

2020 ◽  
Vol 4 (2) ◽  
pp. 103-111
Author(s):  
Rahmat Hidayat ◽  
◽  
Ade Irmayanti ◽  
Muhammad Tommy ◽  
◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Application ◽  
Evaluation Process ◽  
Disposal Site ◽  
Prototype Model ◽  
Initial Weight ◽  
Final Disposal ◽  
Factor Evaluation

Determining the final waste disposal site is a complex problem for Lamandau Regency, which is a developing district, the more people there are every year, the more waste is produced. However, determining the location is still done subjectively without considering the influencing factors and is still manual. In problems like this, the decision support system can be used as a solution to help make decisions. This study aims to implement a decision support system in determining the final disposal site using the Multi-Factor Evaluation Process (MFEP) method which is applied in the form of a Web Application using a prototype model. In determining the final disposal site, there are 5 criteria to be assessed, namely: Cover Land with an initial weight of 0.2, Rain Intensity with an initial weight of 0.1, Nature Reserve with an initial weight of 0.2, Agriculture with an initial weight of 0.3 and Entrance roads with an initial weight of 0.2, and the number of alternatives consists of 5 locations. The findings show that the error rate of this system is below 5%. After testing all modules or system components, all of them were successful and feasible to be used as a tool in determining the final place of development.

scholarly journals Decision Support System using Multi-Factor Evaluation Process Algorithm

2021 ◽  
Vol 1933 (1) ◽  
pp. 012016
Author(s):  
Bertha Jean Que ◽  
Sulistyo Andarmoyo ◽  
Eka Hendrayani ◽  
Romindo ◽  
Dahlan Abdullah ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evaluation Process ◽  
Factor Evaluation

scholarly journals PERBANDINGAN METODE SAW DAN MFEP SISTEM PENDUKUNG KEPUTUSAN PENYELEKSIAN ATLET PENCAK SILAT

2020 ◽  
Vol 12 (1) ◽  
pp. 8
Author(s):  
Siti Qomariah ◽  
Andi Yusika Rangan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evaluation Process ◽  
Factor Evaluation ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Pencaksilat salah satu bentuk identitas seni beladiri nusantara kebudayaan Indonesia berisitentang pendidikan yang berkembang dalam masyarakat. Dalam dunia modern, silatbukan  hanya  sebagai  alat  seni  bela  diri  tetapi berkembang  menjadi  sebuah  upayadalam  memelihara  kesehatan  melalui  olahraga.  Decision support system (DSS) adalah sistem yang dibangun untuk membantu dalam pengabilan keputusan. DSS dapat dibangun dengan mengunakan beberapa metode seperti AHP (Analitycal Hierarchy Process ) SAW (Simple Additive Weighting), MFEP (Multi Factor Evaluation Process),Weighted Product dan lain-lain. Silat salah satu bentuk identitas seni beladiri nusantara kebudayaan Indonesia berisi tentang pendidikan yang berkembang dalam masyarakat.Penelitian ini bertujuan membandingkan hasil dari implementasi metode SAW dengan MFEP.

SISTEM PENDUKUNG KEPUTUSAN DALAM MEREKOMENDASIKAN TEMPAT LES MUSIK DIPEMATANGSIANTAR MENGGUNAKAN METODE MULTIFACTOR EVALUATION PROCESS (MFEP)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Theresia Siburian ◽  
Rafiqa Dewi ◽  
Widodo Widodo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Music Education ◽  
Support System ◽  
Evaluation Process ◽  
Music Lesson ◽  
Music Lessons ◽  
Factor Evaluation ◽  
The Right

Keroncong, Pop, Dangdut, and Hip Pop. Music is basically to entertain and express themselves from feelings of sadness or happiness. Along with the increasing popularity of music, a lot of music lessons were made especially in Pematangsiantar. This makes consumers confused and needs information to decide which music lessons are suitable for their needs. So the author uses a Decision Support System with the Multi-Factor Evaluation Process (MFEP) method to facilitate decision making. MFEP is a method with emphasis on various factors and criteria that perform the calculation of weighting system where the calculation will be valuable for each factor that affects the decision making of data data to be processed. The MFEP method is also called a scaled score that requires a comparative norm to be interpreted qualitatively and this makes the advantages of the MFEP method. The previous criteria were Criteria Place C1 (C1), Music Facilities Criteria (C2), Price Criteria (C3), Criteria Schedule / time guidance (C4), Employee Service Criteria (C5). By using 4 Alternative Place of Music Les existed memematangsiantar include: Legato Art Center, Era Music Siantar, Grace Music Studio, C and C Music Education. Results of recommendation of Decision Support System in Recommending Place Les Music dipematangsiantar using method MFEP (Multifactor Evaluation Process). Which we write with first rank that is Legato Art Center .  It is expected that this research can help the consumer to get the right recommendation in choosing the place of music lesson in accordance with the cost of music lesson and music quality.Keywords: Decision Support System, Multi-Factor Evaluation Process, ranking, Music

scholarly journals Penerapan Multi Factor Evaluation Process Dalam Penerimaan Asisten Dosen Pada STMIK Triguna Dharma

2019 ◽  
Vol 3 (3) ◽  
pp. 183
Author(s):  
Puji Sari Ramadhan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Calculation Method ◽  
Scoring System ◽  
Evaluation Process ◽  
Factor Evaluation ◽  
Process Method

In helping the role of a lecturer in carrying out learning as well as an effort in improving the quality of learning it is necessary to appoint a Lecturer Assistant who is also in charge of replacing the role of the lecturer who is unable to attend. In the acceptance process of the Lecturer Assistant, it is necessary to use objective and accurate criteria and assessment using the calculation method to have a universal concept in the science of Decision Support Systems. For this reason, it is necessary to build a scoring system that can later produce decisions in selecting prospective Lecturer Assistants. Based on these views, the acceptance of the Lecturer Assistant will use one method in the Decision Support System that can produce a decision based on the ranking or ranking of each alternative, namely the Multi-Factor Evaluation Process method. With the application of this method that will be applied in an application, the system can help the institution in determining the feasibility of the acceptance process of the Lecturer Assistant so that later the Lecturer Assistant will be chosen based on the ranking of values that have been generated through the Multi-Factor Evaluation Process.

scholarly journals A Decision Support System for Public Funding of Experimental Development in Energy Research

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1357 ◽  
Author(s):  
Simon Hirzel ◽  
Tim Hettesheimer ◽  
Peter Viebahn ◽  
Manfred Fischedick
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Large Scale ◽  
Public Funding ◽  
Evaluation Process ◽  
Decision Makers ◽  
Market Failures ◽  
Energy Research ◽  
Experimental Development

New energy technologies may fail to make the transition to the market once research funding has ended due to a lack of private engagement to conclude their development. Extending public funding to cover such experimental developments could be one way to improve this transition. However, identifying promising research and development (R&D) proposals for this purpose is a difficult task for the following reasons: Close-to-market implementations regularly require substantial resources while public budgets are limited; the allocation of public funds needs to be fair, open, and documented; the evaluation is complex and subject to public sector regulations for public engagement in R&D funding. This calls for a rigorous evaluation process. This paper proposes an operational three-staged decision support system (DSS) to assist decision-makers in public funding institutions in the ex-ante evaluation of R&D proposals for large-scale close-to-market projects in energy research. The system was developed based on a review of literature and related approaches from practice combined with a series of workshops with practitioners from German public funding institutions. The results confirm that the decision-making process is a complex one that is not limited to simply scoring R&D proposals. Decision-makers also have to deal with various additional issues such as determining the state of technological development, verifying market failures or considering existing funding portfolios. The DSS that is suggested in this paper is unique in the sense that it goes beyond mere multi-criteria aggregation procedures and addresses these issues as well to help guide decision-makers in public institutions through the evaluation process.

scholarly journals Membandingkan Metode Simple Addictive Weighting (SAW) dan Multifactor Evaluation Process (MFEP) Dalam Penentuan Jurusan Sma Negeri 10 Padang

2019 ◽  
pp. 24-32
Author(s):  
Deny Suyandi ◽  
Rini Sovia ◽  
Aulia Fitrul Hadi
Keyword(s):  
High School ◽  
High School Students ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Evaluation Process ◽  
Management Decision ◽  
School Students ◽  
Management Decision Making ◽  
Structured Problems

Decision support system is a combination of individual intelligence sources with the ability of components to improve the quality of decisions. Decision support systems are also computer-based information systems for management decision-making that deal with semi-structured problems. With a decision support system makes it easier for us to determine the decisions for majors of high school students. Because the determination of this department is very influential with the future of students. So from that the author conducted this study to facilitate students in determining majors. So that these two methods can be compared and find the best results in making decisions about the majors of high school students.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENERIMA BEASISWA BIDIKMISI MENGGUNAKAN METODE SMART

JURTEKSI ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 285-292
Author(s):  
Sukamto Sukamto ◽  
Yanti Andriyani ◽  
Ayu Lestari
Keyword(s):  
Experimental Data ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Evaluation Process ◽  
Web Based ◽  
Scholarship Recipients ◽  
Uml Diagrams ◽  
The University

Abstract: Scholarships are provided selectively according to the type of learning held. There are so many scholarships offered to students who are outstanding and poor, one of which is the scholarship provided by the University of Riau, named Bidikmisi scholarship. The evaluation process of prospective scholarship recipients is carried out by the committee directly and is still done manually. So that it allows the creation of a support system for the decision to accept Bidikmisi scholarships using the smart web-based method. The system created, designed using UML diagrams, the system has made using the PHP programming language and database. The resulting system can process  using ten experimental data obtained a sequence of values from highest to smallest, with the highest amount of 0.75.            Keywords: Bidikmisi; Decision Support System; Scholarship; Smart Method.  Abstrak: Pemberian beasiswa dilakukan secara selekif sesuai dengan jenis beasiswa yang diadakan. Banyak sekali beasiswa yang ditawarkan kepada mahasiswa yang berprestasi dan kurang mampu, salah satunya beasiswa yang ditawarkan universitas riau yaitu beasiswa bidikmisi. Proses Penilaian calon penerima beasiswa dilakukan oleh panitia secara langsung dan masih dilakukan secara manual. Sehingga memungkinkan dibuatnya suatu sistem pendukung keputusan penerimaan beasiswa bidikmisi menggunakan metode smart berbasis web. Sistem yang dibuat, dirancang menggunakan UML diagram, pembuatan sistem menggunakan bahasa pemrograman PHP dan database. Sistem yang dihasilkan mampu mengolah data mahasiswa, mengolah data calon penerima untuk dihitung dan laporan jumlah calon penerima yang diterima dan ditolak. Hasil akhir dengan menggunakan 10 data percobaan diperoleh urutan nilai dari yang tertinggi sampai terkecil, dengan nilai tertinggi 0,75. Kata kunci: Beasiwa; Bidikmisi; Sistem Pendukung Keputusan; Smart. 

scholarly journals Decision Support System for the Production of Miscanthus and Willow Briquettes

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1364 ◽  
Author(s):  
Sławomir Francik ◽  
Adrian Knapczyk ◽  
Artur Knapczyk ◽  
Renata Francik
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Application ◽  
Modular Design ◽  
Renewable Energy Sources ◽  
Decision Support Tool ◽  
Total Energy Consumption ◽  
Support Tool ◽  
Energy Demands

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

scholarly journals Analytic Hierarchy Process (AHP)-Based Aggregation Mechanism for Resilience Measurement: NATO Aggregated Resilience Decision Support Model

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 1037
Author(s):  
Jan Hodicky ◽  
Gökhan Özkan ◽  
Hilmi Özdemir ◽  
Petr Stodola ◽  
Jan Drozd ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
International Organizations ◽  
Support System ◽  
Prototype Model ◽  
Analytic Hierarchy ◽  
Aggregation Mechanism ◽  
Hierarchy Process

Resilience is a complex system that represents dynamic behaviours through its complicated structure with various nodes, interrelations, and information flows. Like other international organizations NATO has also been dealing with the measurement of this complex phenomenon in order to have a comprehensive understanding of the civil environment and its impact on military operations. With this ultimate purpose, NATO had developed and executed a prototype model with the system dynamics modelling and simulation paradigm. NATO has created an aggregated resilience model as an upgrade of the prototype one, as discussed within this study. The structure of the model, aggregation mechanism and shock parametrization methodologies used in the development of the model comprise the scope of this study. Analytic Hierarchy Process (AHP), which is a multi-criteria decision-making technique is the methodology that is used for the development of the aggregation mechanism. The main idea of selecting the AHP methodology is its power and usefulness in mitigating bias in the decision-making process, its capability to increase the number of what-if scenarios to be created, and its contribution to the quality of causal explanations with the granularity it provides. The parametrized strategic shock input page, AHP-based weighted resilience and risk parameters input pages, one more country insertion to the model, and the decision support system page enhance the capacity of the prototype model. As part of the model, the decision support system page stands out as the strategic level cockpit where the colour codes give a clear idea at first about the overall situational picture and country-wise resilience and risk status. At the validation workshop, users not only validated the model but also discussed further development opportunities, such as adding more strategic shocks into the model and introduction of new parameters that will be determined by a big data analysis on relevant open source databases. The developed model has the potential to inspire high-level decision-makers dealing with resilience management in other international organizations, such as the United Nations.

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