scholarly journals Profile Matching in Solving Rank Problem

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Final Decision ◽  
Matching Method ◽  
Target Value ◽  
Profile Matching ◽  
The Difference ◽  
Problem Selection

This research aims to solve the problem selection to a decision. In the profile matching method, a parameter assessed on the difference between the target value with the value that is owned by an individual. There are two important parameters in this method such as core factors and secondary factors. These values are converted into a percentage of weight so as to produce the final decision as a determinant of the data which will be closer to the predetermined targets. By doing this method, sorting the data against specific criteria that are dynamicallyperformed.

scholarly journals Penentuan Penerimaan Usulan Penelitian Internal Dosen Menggunakan Metode Profile Matching

2020 ◽  
Vol 9 (2) ◽  
pp. 158
Author(s):  
Vivi Sahfitri
Keyword(s):  
Community Service ◽  
Research Proposal ◽  
Final Decision ◽  
Matching Method ◽  
Higher Education System ◽  
Final Value ◽  
Research Activities ◽  
Profile Matching ◽  
Wide Range ◽  
The Cost

A Lecturer as an educator in Higher Education System has an obligation to fulfill the Tri Dharma University which consists of Education, Research and Community Service. A research, which is a part of the lecturer responsibility, shall be conducted in various activities with the cost coming from a wide range of sources. Bina Darma University through the Research and Community Service Institute has an agenda to administer Internal Research Grants which aim to facilitate and motivate Lecturers in the research activities. The assessment of Research proposal is carried out by a reviewer appointed directly by the institution. The reviewer has a full right to determine whether the proposal would be funded or not. The reviewer's full right may affect the objectivity of assessment by the Reviewer which eventually would influence the final decision. Thus, this research aims to design a system for determining the acceptance of Internal Research proposals, that is by using the implementation of Profile Matching Method. The final result of the study shows that the final value of the research proposal which will get the first rank is the value of the ID PROP007 with the final value 4.55. Meanwhile, the lowest end value is 3.1 obtained by ID PROP004. The assessments criteria contained in the research proposal include abstract, introduction, literature review, research methodology, budget conformance and research schedule.

Sistem Pendukung Keputusan Seleksi Beasiswa Situbondo Unggul Menggunakan Metode Simple Additive Weighting dan Profile Matching

2019 ◽  
Vol 3 (1) ◽  
pp. 20
Author(s):  
Moh Febri Nurul Qorik ◽  
Slamin Slamin ◽  
Priza Pandunata
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Matching Method ◽  
Profile Matching ◽  
Scholarship Recipients ◽  
The Difference ◽  
Waterfall Model ◽  
White Box Testing ◽  
Simple Additive Weighting ◽  
Selection Of

This study is about the use of simple additive weighting (SAW) and profile matching methods for the construction of information systems supporting the decision selection of scholarships. The case study of this research is the selection of superior situbondo scholarships in the Education Office of Situbondo Regency. The purpose of this study was to apply the profile matching method and SAW in resolving the problem of selecting the Situbondo Superior Scholarship recipients who had 2 aspects of assessment, namely aspects of poverty and academics which made it difficult to select scholarships, this difficulty is caused by the value of the aspect of poverty must be the smaller the difference in the value of students with the value of the scholarship it will be better while the academic value must go far beyond the minimum value, the better. The profile matching method is used to calculate the value of the aspect of poverty and SAW is used to calculate the value of the academic aspects. To determine the final results of this study using the criteria for decision-making scale determined by the District Education Office of Situbondo, one of the final methods of the method is less than 30 worth not funded, one of the final method values less than 60 is considered to be funded. The development of information systems supporting superior decision making for the Situbondo scholarship using the profile matching and simple additive weighting methods using a website-based system with system design using the SDLC waterfall model, implementation of the system using the laravel framework and program code using the hypertext pre-processor programming language (PHP ), while for managing the database using MySQL DBMS and system testing using black box and white box ( testing unit). The results of this research method of profile matching and simple additive weighting can be applied properly in a superior situbondo scholarship decision support system.

scholarly journals PENERAPAN PROFILE MATCHING UNTUK SELEKSI ASISTEN LABORATORIUM

Telematika ◽  
2019 ◽  
Vol 16 (1) ◽  
pp. 1 ◽  
Author(s):  
Sri Rahayu Astari
Keyword(s):  
Decision Making ◽  
Calculation Method ◽  
Profile Data ◽  
Matching Method ◽  
Analysis Process ◽  
Profile Matching ◽  
Criterion Weight ◽  
Secondary Factor ◽  
The Difference

AbstractLaboratory assistants in universities are usually active students who are recruited to help lecturers implement theoretical courses given by lecturers in class. Assistant recruitment is carried out to screen students who have talent in teaching, because in addition to assisting lecturers in providing practical material, becoming an assistant is a way to measure personal abilities that have talent in teaching. This study applies the profile matching method by determining the gap value which is the difference between the candidate values and the standard that has been set between the profile data from the selected assistant candidates. The purpose of applying this profile matching method is to get an assistant that is in accordance with the main and supporting factors that the reviewer will determine in each selection. Calculation using the profile matching method gives different weights to each criterion, so that the criteria have weights according to the type or standard of interest. This study uses a prototype method that involves the user in the analysis process. This study resulted in a calculation method using the profile matching method by determining each criterion weight, then classifying or dividing criteria into core factors and secondary factors which ultimately resulted in the total amount of the whole, and then ranking.Keywords : Assistant, Profile Matching, decision making, core factors, secondary factors.Asisten laboratorium di perguruan tinggi biasanya merupakan mahasiswa aktif yang direkrut untuk membantu dosen mengimplementasikan mata kuliah teori yang diberikan dosen dikelas. Rekrutmen asisten dilakukan untuk menyaring mahasiswa yang memiliki bakat dalam mengajar, karena selain untuk membantu dosen dalam memberikan materi praktikum, menjadi asisten adalah cara untuk mengukur kemampuan personal yang memiliki bakat dalam mengajar. Penelitian ini menerapkan metode profile matching dengan menentukan nilai gap yang merupakan selisih nilai calon dengan standar yang sudah ditetapkan antara profil data dari calon asisten yang diseleksi. Tujuan dari penerapan metode profile matching ini adalah untuk mendapatkan asisten yang sesuai dengan faktor utama dan pendukung yang akan ditentukan reviewer setiap seleksi dilakukan. Perhitungan menggunakan metode profile matching memberikan bobot berbeda pada setiap kriteria, agar kriteria mempunyai bobot sesuai dengan tipe atau standar kepentingannya. Penelitian ini menggunakan metode prototype yang melibatkan user dalam proses analisis. Penelitian ini menghasilkan cara perhitungan menggunakan metode profile matching dengan menentukan setiap bobot kriteria, kemudian mengelompokkan atau membagi kriteria menjadi core factor dan secondary factor yang akhirnya menghasilkan jumlah total dari keseluruhan, dan kemudian dilakukan perankingan.Kata Kunci : Asisten, Profile Matching, pengambilan keputusan, core factor, secondary factor

scholarly journals What’s in a (Change of) Name? Much—but Not That Much—and Not What Wiebe Claims

2020 ◽  
Vol 32 (2) ◽  
pp. 159-184 ◽  
Author(s):  
Satoko Fujiwara ◽  
Tim Jensen
Keyword(s):  
Decision Making ◽  
Executive Committee ◽  
International Association ◽  
International Committee ◽  
Academic Standards ◽  
General Assembly ◽  
Final Decision ◽  
Points Of View ◽  
The Difference ◽  
Consultative Body

Abstract Donald Wiebe claims that the IAHR leadership (already before an Extended Executive Committee (EEC) meeting in Delphi) had decided to water down the academic standards of the IAHR with a proposal to change its name to “International Association for the Study of Religions.” His criticism, we argue, is based on a series of misunderstandings as regards: 1) the difference between the consultative body (EEC) and the decision-making body (EC), 2) the difference between the preliminary points of view of individuals and final proposals by the EC, 3) personal conversations, 4) the link between the proposal to change the name and the wish to tighten up the academic profile of the IAHR. Moreover, if the final decision-making bodies, the International Committee and the General Assembly, adopt the proposal, the new name as little as the old can make the IAHR more or less scientific. Tightening up the academic, scientific profile of the IAHR takes more than a change of name.

scholarly journals Developing an approach for decision making units integration using multi objective particle swarm optimization

2014 ◽  
Vol 4 (1) ◽  
pp. 48 ◽  
Author(s):  
Abdorrahman Haeri ◽  
Kamran Rezaie ◽  
Seyed Morteza Hatefi
Keyword(s):  
Decision Making ◽  
Particle Swarm Optimization ◽  
Performance Measures ◽  
Particle Swarm ◽  
Final Decision ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Decision Making Unit ◽  
The Difference ◽  
Decision Making Units

In recent years, integration between companies, suppliers or organizational departments attracted much attention. Decision making about integration encounters with major concerns. One of these concerns is which units should be integrated and what is the effect of integration on performance measures. In this paper the problem of decision making unit (DMU) integration is considered. It is tried to integrate DMUs so that the considered criteria are satisfied. In this research two criteria are considered that are mean of efficiencies of DMUs and the difference between DMUs that have largest and smallest efficiencies. For this purpose multi objective particle swarm optimization (MOPSO) is applied. A case with 17 DMUs is considered. The results show that integration has increased both considered criteria effectively.  Additionally this approach can presents different alternatives for decision maker (DM) that enables DM to select the final decision for integration.

scholarly journals Sistem Pendukung Keputusan Pemilihan Tenaga Kerja Indonesia (TKI) Berdasarkan Kualitas Untuk Menentukan Tempat Kerja Menggunakan Metode Profile Matching (Studi Kasus: PT Adila Prezkifarindo Duta)

2020 ◽  
Vol 1 (2) ◽  
pp. 142
Author(s):  
Dasarius Gulo
Keyword(s):  
Decision Making ◽  
Migrant Workers ◽  
Selection Process ◽  
Matching Method ◽  
Matching Process ◽  
Profile Matching ◽  
Long Time ◽  
Support Decision Making ◽  
Selection Of ◽  
The Ideal

In the process of selecting Indonesian Workers (TKI) based on quality at PT. Adila Prezkifarindo Duta is classified as still manual, where there is not yet a system for selecting quality migrant workers so it requires a long time for its assessment and the selection process is less effective. To support decision making in the selection of qualified Indonesian Workers (TKI) to make it easier by using a decision support system. One method used in the selection of qualified Indonesian Workers is the Profile Matching method. The profile matching method is a decision-making mechanism by assuming that there is an ideal level of predictor variables that must be met by applicants, rather than the minimum level that must be met or passed. In the profile matching process a process will be compared between individual competencies into standard competencies so that different competencies can be identified (also called Gap). The smaller the gap produced, the greater the weight value. In matching this profile, the selected TKI candidates are Indonesian Workers who are closest to the ideal profile of a qualified TKI.

Radiocarbon Distance Between Calendar Dates

Radiocarbon ◽  
2014 ◽  
Vol 56 (02) ◽  
pp. 877-881
Author(s):  
Adam Walanus ◽  
Dorota Nalepka
Keyword(s):  
Calibration Curve ◽  
Calibration Procedure ◽  
Matching Method ◽  
Time Periods ◽  
The Difference ◽  
Calendar Dates

The calibration procedure, and especially the nonlinear shape of the calibration curve, makes analyzing a possible dating result a far from straightforward process. This is especially so if the goal is to distinguish between two relatively close events. Proposed herein is a calculator, or alternatively a graph, which enables reading of the difference between two radiocarbon ages corresponding to their expected calendar ages. The result may surprise the less experienced14C users. Such a calculation also indicates the time periods with high or low potential for application of the wiggle-matching method.

scholarly journals Research on Improvement of the Combination Method for Conflicting Evidence Based on Historical Data

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 762
Author(s):  
Shuai Yuan ◽  
Honglei Wang
Keyword(s):  
Decision Rule ◽  
Historical Data ◽  
Evidence Theory ◽  
Weighted Average ◽  
Combination Method ◽  
Final Decision ◽  
Evidence Based ◽  
Combination Methods ◽  
Conflicting Evidence ◽  
The Difference

In a multi-sensor system, due to the difference of performance of sensors and the environment in which the sensor collects evidence, evidence collected will be highly conflicting, which leads to the failure of D-S evidence theory. The current research on combination methods of conflicting evidence focuses on eliminating the problem of "Zadeh paradox" brought by conflicting evidence, but do not distinguish the evidence from different sources effectively. In this paper, the credibility of each piece of evidence to be combined is weighted based on historical data, and the modified evidence is obtained by weighted average. Then the final result is obtained by combining the modified evidence using D-S evidence theory, and the improved decision rule is used for the final decision. After the decision, the system updates and stores the historical data based on actual results. The improved decision rule can solve the problem that the system cannot make a decision when there are two or more propositions corresponding to the maximum support in the final combination result. This method satisfies commutative law and associative law, so it has the symmetry that can meet the needs of the combination of time-domain evidence. Numerical examples show that the combination method of conflict evidence based on historical data can not only solve the problem of “Zadeh paradox”, but also obtain more reasonable results.

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