Penilaian Kinerja Dosen Dengan Menggunakan Metode AHP Studi Kasus di STIE Ahmad Dahlan Jakarta

Liquidity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 100-109
Author(s):  
Ellya Sestri
Keyword(s):  
Decision Making ◽  
Performance Appraisal ◽  
Technological Progress ◽  
Pairwise Comparison ◽  
Relative Importance ◽  
Faculty Performance ◽  
Business World ◽  
The Face ◽  
Hierarchy Process ◽  
Rule Out

An increasingly rapid technological progress in the era of globalization in the business world, so do not rule out the possibility that a decision-making is something that is very vital in determining the decisions to be taken in the face of competitive business world. Decision making can be influenced by several aspects, this can affect the speed of decision making by the decision maker in which decisions must be quick and accurate. Lecturer Performance Assessment Using the Analytical Hierarchy Process is a decision support system that aims to assess faculty performance according to certain criteria. This system of faculty performance appraisal criteria to map a hierarchy, where each hierarchy will be performed pairwise comparison, the pairwise comparisons between criteria, so to get a comparison of the relative importance of criteria with each other. The results of this comparison is then analyzed to obtain the priority of each criterion. Once completed and performed an assessment of alternative options to be compared and calculated to obtain the best alternatives according to established criteria.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

JUDGMENT NUMBER REDUCTION: AN ISSUE IN THE ANALYTIC HIERARCHY PROCESS

2010 ◽  
Vol 09 (01) ◽  
pp. 175-189 ◽  
Author(s):  
LONG-TING WU ◽  
XIA CUI ◽  
RU-WEI DAI
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Pairwise Comparison ◽  
Random Variable ◽  
Analytic Hierarchy ◽  
Priority Vector ◽  
Judgment Error ◽  
Scale Error ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) uses pairwise comparison to evaluate alternatives' advantages to a certain criterion. For decision-making problem with many different criteria and alternatives, pairwise comparison causes a prolonged decision-making period and rises fatigue in decision-makers' mentality. A question of practical value is if there exists a way to reduce judgment number and what influence the reduction will have on the overall evaluation of alternative ratings. To answer this question, we introduce scale error and judgment error into AHP judgment matrix. By expanding the scales defined in the AHP, scale error is eliminated. Taking judgment error as random variable, a new estimator to calculate priority vector is presented. In the end, an example is proved to show lowering judgment number will increase the probability of larger errors appearing in priority vector computation.

Present and Future Land Suitability Analysis for Almond and Pistachio Crops in the Beira Baixa Region Using Spatial Multicriteria Decision Systems

2022 ◽  
pp. 249-265
Author(s):  
Luís Quinta-Nova ◽  
Dora Ferreira
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Fruit Tree ◽  
Emission Scenarios ◽  
Suitability Analysis ◽  
Almond Tree ◽  
Decision Systems ◽  
Hierarchical Levels ◽  
The Face ◽  
Future Emission

The objective of this study is to determine the suitability for the cultivation of emerging fruit crops in the Beira Baixa region. The suitability was examined for the present time and in the face of two future emission scenarios (RCP 4.5 and 8.5). For this purpose, the biophysical criteria determining the cultivation of pistachio tree and almond tree were processed using a G. The analysis was performed by the AHP. After dividing the problem into hierarchical levels of decision making, a pairwise comparison of criteria was performed to evaluate the weights of these criteria, based on a scale of importance. In the present conditions, about 16.4% of the study area is classified as highly suitable for almond tree and 15.9% to pistachio tree. For the future scenarios, the area with high suitability will increase both for almond tree and pistachio tree. The AHP was adequate in the evaluation of the emerging fruit tree species suitability, since it allowed the integration of the several criteria studied, being a useful tool, which allows the decision making and the resolution of problems.

scholarly journals Fusion of BWM and AHP MCDM Methods to Choose the Most Suitable Secondary School for an Individual in the Context of Bangladesh

2019 ◽  
Vol 06 (03) ◽  
pp. 311-328
Author(s):  
N. S. M. Rezaur Rahman ◽  
Md. Abdul Ahad Chowdhury ◽  
Adnan Firoze ◽  
Rashedur M. Rahman
Keyword(s):  
Decision Making ◽  
Secondary School ◽  
Pairwise Comparison ◽  
User Preferences ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Final Score ◽  
Hierarchy Process ◽  
Best Worst Method

Choosing the best schools from a group of schools is a multi-criteria decision-making (MCDM) problem. In this paper, we have represented a method that uses the fusion of two multi-criteria decision-making methods, Best–Worst Method (BWM) and Analytic Hierarchy Process (AHP), to rank some of the user preferred alternatives. The system considers the choice of the user and the quality of the alternatives to rank them. User preferences on the criteria are taken as inputs in the form of best–worst comparison vectors to measure the choice of the user. These values are applied to calculate the numeric weights of each of the criteria. These weights reflect the preference of the user. A dataset of secondary schools in Bangladesh has been compiled and used for automatic quantitative pairwise comparison on the alternatives to calculate the score of each alternative in every criterion, which reflects its quality in that criterion. These scores are calculated using AHP. The weights of the criteria as well as the scores of these alternatives in those criteria are then used to calculate the final score of the alternatives and to rank them accordingly. An extensive experimental analysis and comparative study is reported at the end of this paper.

Evaluating Supplier Involvement Using DEA and Piecewise Triangular Fuzzy AHP

2007 ◽  
Author(s):  
Shouhua Yuan ◽  
Yiliu Tu ◽  
Deyi Xue
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Data Envelopment ◽  
Novel Method ◽  
Overall Performance ◽  
Dea Method ◽  
The Individual ◽  
Hierarchy Process

Data Envelopment Analysis (DEA) has been widely applied in evaluating multi-criteria decision making problems which have multi-inputs and multi-outputs. However, the traditional DEA method does neither take the decision maker’s subjective preferences to the individual criteria into consideration, nor rank the selected options or decision making units (DMUs). On the other hand, Satty’s Analytical Hierarchy Process (AHP) was established to rank options or DMUs under multi-inputs and multi-outputs through pairwise comparisons. But in most cases, the AHP pairwise comparison method is not perfectly consistent, which may give rise to confusions in determining the appropriate priorities of each criterion to be considered. The inconsistency implicates the fuzziness in generating the relative important weight for each criterion. In this paper, a novel method which employs both DEA and AHP methods is proposed to evaluate the overall performance of suppliers’ involvement in the production of a manufacturing company. This method has been developed through modifying the DEA method into a weighting constrained DEA method by using a piecewise triangular weighting fuzzy set which is generated from the inconsistent AHP comparisons. A bias tolerance ratio (BTR) is introduced to represent the varying but restrained weighting values of each criterion. Accordingly, the BTR provides the decision maker a controllable parameter by tightening or loosening the range of the weighting values in evaluating the overall performance of available suppliers, which in hence, overcomes the two weaknesses of the traditional DEA method.

scholarly journals Analisis Kinerja Menggunakan Balance Scorecard Berdasarkan Metode Hitung Analytical Hierarchy Process (AHP) Di Puskesmas Astanagarib Kota Cirebon

2020 ◽  
Vol 14 (2) ◽  
pp. 110-119
Author(s):  
Widya Jati Lestari ◽  
Marsani Asfi ◽  
Fitri Sihombing
Keyword(s):  
Decision Making ◽  
Performance Appraisal ◽  
Balanced Scorecard ◽  
Analytical Hierarchy Process ◽  
Business Processes ◽  
Balance Scorecard ◽  
Ahp Method ◽  
The Balanced Scorecard ◽  
Hierarchy Process ◽  
Goals And Objectives

Abstrak - Metode pengukuran kinerja perusahaan dengan menggunakan Balanced Scorecard merupakan strategi untuk meningkatkan produktivitas, tingkat efisiensi, dan persaingan. Penilaian kinerja mengolah masukan menjadi keluaran atau penilaian dalam penyusunan kebijakan, program dan kegiatan yang dianggap penting serta berpengaruh pada pencapaian sasaran dan tujuan .Hasil dari penilaian kinerja ini menjadi dasar penilaian keberhasilan dan kegagalan pelaksanaan kegiatan sesuai dengan sasaran dan tujuan yang telah ditetapkan. Penelitian ini bertujuan untuk mengetahui sistem pengukuran kinerja di Puskesmas Astanagarib Kota Cirebon berdasarkan Balance Scorecard. Pembobotan elemen kinerja dilakukan dengan metode Analytical Hierarchy Process (AHP). Pengumpulan data diawali dengan penilaian terhadap visi, misi, dan strategi puskesmas. Data yang diperoleh kemudian diolah dengan metode AHP. Pengumpulan data tiap perspektif menggunakan kuesioner, wawancara dan data dari Puskesmas. Metode AHP menerapkan pengambilan keputusan berdasarkan sejumlah kriteria dan alternatif yang dipilih berdasarkan pertimbangan semua kriteria dalam bentuk hierarki. AHP menerapkan metode analisis dan sintesis yang membantu proses pengambilan keputusan dan membantu dalam menetapkan prioritas-prioritas dan membuat keputusan berdasarkan aspek kualitatif dan kuantitatif yang harus dipertimbangkan. Tahapan analisis dibuat dalam bentuk aplikasi yang dapat memudahkan analisis kinerja Puskesmas. Dari hasil perhitungan dapat disimpulkan bahwa pengukuran kinerja di Puskesmas Astanagarib dengan menggunakan metode Balanced Scorecard dan metode hitung Analytical Hierarchy Process (AHP) menunjukkan bahwa kinerja di Puskesmas tersebut sudah baik, dinilai dari tiga perspektif yang diukur dengan bobot 0,39 untuk proses bisnis internal, pembelajaran dan pertumbuhan 0,22. Hasil evaluasi kinerja Puskesmas cukup baik dengan skor 0,99. Abtract - The method of measuring company performance using the Balanced Scorecard is a strategy to increase productivity, efficiency levels, and competition. Performance appraisal processes input into outputs or assessments in the formulation of policies, programs and activities that are considered important and have an effect on the achievement of goals and objectives. The results of this performance appraisal form the basis for assessing the success and failure of implementing activities in accordance with predetermined goals and objectives. This study aims to determine the performance measurement system at the Astanagarib Health Center Cirebon City based on the Balance Scorecard. The weighting of the performance elements is carried out using the Analytical Hierarchy Process (AHP) method. Data collection begins with an assessment of the vision, mission, and strategy of the puskesmas. The data obtained were then processed using the AHP method. Collecting data for each perspective using a questionnaire, interviews and data from the Puskesmas. The AHP method applies decision making based on a number of criteria and alternatives selected based on the consideration of all criteria in a hierarchical form. AHP applies analysis and synthesis methods that assist the decision-making process and assist in setting priorities and making decisions based on qualitative and quantitative aspects that must be considered. The stages of analysis are made in the form of applications that can facilitate analysis of the performance of Puskesmas. From the calculation results, it can be concluded that the performance measurement at the Astanagarib Health Center using the Balanced Scorecard method and the Analytical Hierarchy Process (AHP) calculation method shows that the performance at the Puskesmas is good, judged from three perspectives measured with a weight of 0.39 for internal business processes. learning and growth 0.22. The results of the Puskesmas performance evaluation are quite good with a score of 0.99. Keywords— AHP; internal business processes; learning and growth; performance.

Multi-Criteria Decision Making: A Systematic Review

2021 ◽  
Vol 14 ◽  
Author(s):  
Nayli Adriana Azhar ◽  
Nurul Asyikin Mohamed Radzi ◽  
Wan Siti Halimatul Munirah Wan Ahmad
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Complex Problems ◽  
Current Implementation ◽  
Network Process ◽  
Complete Survey ◽  
Hierarchy Process

: Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), Elimination et Choix Traduisant la Realité (ELECTRE), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these methods is unique and has been used in a vast field of interest to support DMs in solving complex problems. For a complete survey, discussions related to previous issues and challenges and the current implementation of MCDM are also presented.

scholarly journals Student absenteeism in engineering colleges: Evaluation of alternatives using AHP

2006 ◽  
Vol 2006 ◽  
pp. 1-26 ◽  
Author(s):  
P. Kousalya ◽  
V. Ravindranath ◽  
K. VizayaKumar
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multicriteria Decision Making ◽  
Test Method ◽  
Relative Importance ◽  
Opinion Survey ◽  
Expert Opinions ◽  
Decision Making Problem ◽  
Student Absenteeism ◽  
Hierarchy Process

The present study illustrates the application of analytical hierarchy process (AHP) to a decision-making problem. AHP is a popular and powerful method for solving multiple criteria decision-making (MCDM) problems. An attempt is made here to initialize the use of multicriteria decision-making methods for ranking alternatives that curb student absenteeism. Through the expert opinions, the criteria that cause student absenteeism are identified and the criteria hierarchy was developed. The relative importance of those criteria for Indian environment is obtained through the opinion survey. Alternatives that curb student absenteeism in engineering colleges like counseling, infrastructure, making lecture more attractive, and so forth were collected from literature, journals' surveys and experts' opinions. Alternatives are evaluated based on the criteria, and the preferential weights and ranks are obtained. The experts' opinions are validated by Saaty's inconsistency test method. “Involvement of parents” is the best alternative given by the group of experts. Parents have to know their ward's day-to-day progress in college. The second best alternative is “counseling,” as many criteria that cause student absenteeism are reduced by counseling.

Use of AHP in decision-making for machine tool configurations

2016 ◽  
Vol 27 (6) ◽  
pp. 874-888 ◽  
Author(s):  
Uday Hameed Farhan ◽  
Majid Tolouei-Rad ◽  
Adam Osseiran
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Pairwise Comparison ◽  
Assessment Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Four Levels ◽  
Time Required ◽  
Hierarchy Process ◽  
Selection Of

Purpose The purpose of this paper is to develop a model of analytic hierarchy process (AHP), a multiple criteria decision-making method, to assist selecting suitable machine configurations for special purpose machines (SPMs) from available alternatives. Design/methodology/approach The necessary criteria and sub-criteria were identified and used in the developed model. The assessment process was carried out by constructing the hierarchy of four levels. Then, pairwise comparison matrices were created for each level to compute the weights for the alternatives. The model was programmed and implemented by software for practical use. Findings Different scenarios were obtained from the assessment process of the developed AHP model showing the influence of changing the relevant importance of the elements in the hierarchy on the selection of SPMs configurations. Selection of the suitable scenario was also affected by some factors of manufacturing preferences and industry recommendations such as cost and production rate. Originality/value This is a new application of AHP method which assists decision makers to select suitable configurations for SPMs, and reduce the time required for designing SPMs.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS PADA BANK PERKREDITAN RAKYAT (BPR) BATANG TARUSAN

2018 ◽  
pp. 74-87
Author(s):  
Dodi Guswandi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Maker ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Business World ◽  
Technology Process ◽  
Hierarchy Process ◽  
Process Method

 The rapidly technology process on globalisasion era in business world, makes the decision making is the important thing to make decision faced with the competition in business world. The decision making can be influence by a few aspect and group, which can influence the decision maker to accelerate the fast, perfectly and correctly the decision making.This software created by using Analytical Hierarchy Process method. Where this algorithm do the process of calculating to get the best decision, using the score group of calculation and compare it with each possibility count of the choosen decision. This software specially will be use to decision support in present credit to PT. BPR Batang Tarusan.From design and the testing the application of decision support system result a correct and flexible decision with all criteria which influence that decision and give a report in order to director can understand why this software choose that decision.

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