A METHOD OF DECISION SUPPORT FOR THE SELECTION
OF LUBRICANTS FOR REFRIGERATION COMPRESSORS
ON THE BASIS OF TRIBOLOGICAL TESTS

The article presents a simple and clear decision support method for use when selecting lubricants for refrigeration compressors on the basis of tribological tests. The Bellinger method has been chosen. Moreover, the article shows the process of decision support for the selection of lubricants for various mechanisms of the mixing lubricating oil with refrigerant. For the mixing mechanism of a simultaneous intermolecular diffusion and natural convection, the mixture of polyester oils and R134a was selected, whereas, for the mixing mechanism of intermolecular diffusion alone, it was the mixture of mineral oils with R290 that was selected. There were simulations of several decision-making situations due to the decision maker’s attitude, such as economic, qualitative, and balanced. In each variant, the importance of particular criteria was subjectively assigned trying to reflect the decision maker’s attitude. The presented analysis indicates that the lubricity properties of oils and refrigeration mixtures must be taken into account; otherwise, disregarding them can have serious operational consequences. The decision on the selection of the proper lubricant for refrigeration compressors should be preceded by tribological tests allowing one to assess lubricity properties of oils and their mixtures with a refrigerant.

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SELECTION OF LUBRICANTS FOR REFRIGERATION COMPRESSORS ON THE BASIS OF VARIOUS TRIBOLOGICAL TESTS

Tribologia ◽

10.5604/01.3001.0014.3736 ◽

2020 ◽

Vol 290 (2) ◽

pp. 15-24

Author(s):

Kasper GÓRNY ◽

Wiesław ZWIERZYCKI

Keyword(s):

Decision Making ◽

Decision Maker ◽

Lubricating Oil ◽

Tribological Tests ◽

Mineral Oils ◽

Refrigerant Mixtures ◽

Lubrication Conditions ◽

Selection Of

The article presents a proposal to use a simple and transparent method in aiding the decision making on the selection of lubricants for refrigeration compressors on the basis of various tribological tests. Tribological studies included full lubrication and poor lubrication conditions for both the lubricants themselves and the oil/ refrigerant mixtures. The Bellinger method was chosen as a method to support the selection of lubricants. The decision making aiding process on the selection of lubricants for various mechanisms of mixing lubricating oil with a refrigerant was presented. A mixture of polyester oils with the R452A refrigerant was chosen for the mixing mechanism by simultaneous intermolecular diffusion and natural mass convection. However, for the mixing mechanism only by intermolecular diffusion, a mixture of mineral oils with the R600a was selected. Simulations were carried out of several decision-making situations depending on the approach of the decisionmaker, i.e. economic, qualitative, or sustainable. In each of the options, weightings were subjectively assigned to individual criteria, trying to reflect the approach of decision-maker.

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Sistem Pendukung Keputusan SNMPTN Jalur Undangan Dengan Metode Electre

Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) ◽

10.30645/jurasik.v3i0.63 ◽

2018 ◽

Vol 3 ◽

pp. 14

Author(s):

Lidia K Simanjuntak ◽

Tessa Y M Sihite ◽

Mesran Mesran ◽

Nuning Kurniasih ◽

Yuhandri Yuhandri

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Action Selection ◽

Multi Criteria Decision Making ◽

Prospective Students ◽

College Entrance ◽

Electre Method ◽

Selection Of

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.

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PEMILIHAN KEPLING TELADAN MENERAPKAN METODE RANK ORDER CENTROID (ROC) DAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) DI KECAMATAN MEDAN AREA

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v3i1.1638 ◽

2019 ◽

Vol 3 (1) ◽

Cited By ~ 1

Author(s):

Liza Handayani ◽

Muhammad Syahrizal ◽

Kennedi Tampubolon

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Rank Order ◽

Priority Level ◽

The Village ◽

Field Area ◽

Selection Of

The head of the environment is an extension of the head of the village head in assisting or providing services to the community both in the administration of administration in the village and to other problems. It is natural for a kepling to be appreciated for their performance during their special tenure in the kecamatan field area. Previously, the selection of a dipling in a sub-district was very inefficient and seemed unfair for this exemplary selection to use a system to produce an accurate value, and no intentional element. To overcome the process of selecting an exemplary kepling that experiences these obstacles by using an application called a Decision Support System. Decision Support System (SPK) is a system that can solve a problem, and this system is also assisted with several methods, namely the Rank Order Centroid (ROC) method that can assign weight values to each of the criteria based on their priority level. And to do the ranking or determine an exemplary set using the Additive Ratio Assessment (ARAS) method, this method provides decision making that takes decisions based on ranking or the highest value.Keywords: Head of Medan Area Subdistrict, SPK, Centroid Rank Order, Additive Ratio Assessment (ARAS).

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BERPRESTASI KOTA MEDAN MENERAPKAN METODE PREFERENCES SELECTION INDEX (STUDI KASUS : DINAS PENDIDIKAN KOTA MEDAN)

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.921 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Fajar Syahputra ◽

Mesran Mesran ◽

Ikhwan Lubis ◽

Agus Perdana Windarto

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Formal Education ◽

Basic Education ◽

Selection Index ◽

Main Task ◽

Selection Of

The teacher is a major milestone in the world of education, the ability and achievement of students cannot be separated from the role of a teacher in teaching and guiding students. Based on the Law of the Republic of Indonesia No. 14 of 2005 concerning Teachers and Lecturers, in Article 1 explained that teachers are professional educators with the main task of educating, teaching, guiding, directing, training, evaluating, and evaluating students in early childhood education through formal education, basic education and education medium. Whereas in Article 4 of the Act, it is explained that the position of teachers as professionals serves to enhance the dignity and role of teachers as learning agents to function to improve the quality of national education.Decision making is an election process, among various alternatives that aim to meet one or several targets. The decision-making system has 4 phases, namely intelligence, design, choice and implementation. These phases are the basis for decision making, which ends with a recommendation.The Preferences Selection Index (PSI) method is a rarely used decision support system method. This method is a method developed by stevanie and Bhatt (2010) to solve the Multi Criteria Decision Making (MCDM). With the right consideration, this method can be one of the tools to determine policies in decision-making systems, especially the selection of outstanding teachers. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively.Keywords: Decision Support System, PSI, Selection of Achieving Teachers

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Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)

Jurnal ULTIMA Computing ◽

10.31937/sk.v7i1.448 ◽

2016 ◽

Vol 7 (1) ◽

pp. 12-18

Author(s):

Joko Haryanto ◽

Seng Hansun

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

System Application ◽

Prospective Students ◽

Fuzzy Logic Method ◽

Index Terms ◽

Selection Of

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major

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Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Rumah Kost

J-SAKTI (Jurnal Sains Komputer dan Informatika) ◽

10.30645/j-sakti.v3i2.144 ◽

2019 ◽

Vol 3 (2) ◽

pp. 243

Author(s):

Rita Novita Sari ◽

Ratna Sri Hayati

Keyword(s):

Decision Making ◽

Information Technology ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Utility Theory ◽

Weighted Sums ◽

Multi Attribute Utility Theory ◽

Boarding House ◽

Selection Of

The development of information technology is currently developing rapidly. The use of information technology is very broad in various fields of life. The choice of boarding house is one of the things that is not easy to do. The problem often faced when choosing a boarding house is that boarders find it difficult to get information about boarding houses. Decision support system is a method that helps in making decisions on a particular problem, where no one can make a definite decision. Multi Attribute Utility Theory (MAUT) is a method of decision making. MAUT is a method where looking for weighted sums of the same values in each utility in each attribute. By applying the MAUT method in the selection of boarding houses, it can give good suggestions or recommendations on boarding houses.

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TOPSIS Method Application for Decision Support System in Internal Control for Selecting Best Employees

10.31227/osf.io/hj42a ◽

2018 ◽

Cited By ~ 1

Author(s):

Andysah Putera Utama Siahaan ◽

Robbi Rahim ◽

Tri Listyorini

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Internal Control ◽

Computational Method ◽

Top Management ◽

Job Responsibilities ◽

Decision Making System ◽

Selection Of

The selection of the best employees is one of the process of evaluating how well the performance of the employees is adjusted to the standards set by the company and usually done by top management such as General Manager or Director. In general, the selection of the best employees is still perform manually with many criteria and alternatives, and this usually make it difficult top managerial making decisions as well as the selection of the best employees periodically into a long and complicated process. Therefore, it is necessary to build a decision support system that can help facilitate the decision maker in determining the best choice based on standard criteria, faster, and more objective. In this research, the computational method of decision-making system used is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria used in the selection of the best employees are: job responsibilities, work discipline, work quality, and behaviour. The final result of the global priority value of the best employee candidates is used as the best employee selection decision making tool by top management.

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Using Multi-Criteria Optimization in Decision Support under Risk

10.5772/intechopen.93705 ◽

2020 ◽

Author(s):

Andrzej Łodziński

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Maker ◽

Previous Method ◽

Decision Making Process ◽

Decision Making Under Risk ◽

Evaluation Functions ◽

Interactive Decision Making ◽

The Individual ◽

Decision Support Method

The chapter presents an extension of a previous method for decision support under risk. The decision-making process is modeled by a multi-criteria optimization problem, in which the individual evaluation functions represent the results of decisions in several possible scenarios with associated risks. The decision support method is an interactive decision-making process. The choice is made by solving the problem depending on the control parameters that define the aspirations of the decision maker as well as on an evaluation of the obtained solutions. The decision maker selects a set of parameters representing various risks’ impacts that influences a solution, and then he/she evaluates the obtained solution by accepting or rejecting it. In another case, the decision maker selects a new value and the problem is solved again for the new parameter. In this chapter, an example of supporting decision-making under risk is presented.

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SISTEM PENGAMBILAN KEPUTUSAN DALAM PEMILIHAN SEPEDA MOTOR MATIC HONDA DENGAN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (STUDI KASUS: CV. DARMIN MOTOR KOTA TANGERANG)

JIKA (Jurnal Informatika) ◽

10.31000/.v2i2.1515 ◽

2019 ◽

Vol 2 (2) ◽

Author(s):

Eka Wulansari Fridayanthie ◽

Ahmad Azhar Alfiansyah

Keyword(s):

Decision Making ◽

Decision Support ◽

Analytical Hierarchy Process ◽

Study Data ◽

Microsoft Excel ◽

Software Application ◽

Expert Choice ◽

A Value ◽

Hierarchy Process ◽

Selection Of

In the selection of Honda Honda motorcycles, of course consumers want to get the best and right choice. On CV. Darmin Motor Tangerang City has a factor in the assessment. This assessment is based on criteria and alternatives such as price, design, product quality and other brands of Honda Motorcycle. Almost every consumer wants a matic motorcycle that is affordable, fuel efficient and comfortable to use. This decision support system uses the method (AHP) as a process in determining the best matic motorbikes. This can be useful to facilitate a decision-making related to a problem of selecting Honda Motorcycle so that there will be many criteria and alternatives for consumers. In this study, data acquisition was obtained from the results of the questionnaire. The data that has been obtained is processed using Microsoft Excel so ftware and expert choice software. The results of the study using the Expert Choice Software application showed that the first rank was Beat Sport CBS with a value of 0.514 or 51.4% next Vario 125 CBS with a value of 0.300 or 30.0% and ranked last 0.187 or 18.7%.

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