Penerapan Metode Promethee Dalam Sistem Pendukung Keputusan Penetapan Penerima Kartu Indonesia Sehat (KIS)

Health is a state of well-being of body, soul and society that enables everyone to live productively socially and economically. Therefore, health is the most important element in human life. Health is closely related to economic conditions. factors that affect human health such as healthy food and drinks, a healthy environment and healthy living habits will be fulfilled. Conversely, if a bad economy will make it difficult for individual people to meet some of these factors, if these conditions are ignored, the individual community will find it difficult to improve their health. The problem that occurred at Galang Health Center was the unsatisfactory selection of KIS (Kartu Indonesia Sehat) participants. the selection of KIS (Kartu Indonesia Sehat) participants requires a decision support system (DSS) to speed up and make it easier to make decisions. Decision support systems are used to assist decision making in an organization to facilitate decision making. Where no one knows exactly how decisions should be made. The Promethee method (Preference Ranking Organizational Method for Enrichment Evaluation) is a method used to determine priority (order) in multi-criteria analysis. With the Promethee method, the problem of choosing KIS (Kartu Indonesia Sehat) participants is feasible to use in this study, the stages of research carried out in this study are starting from data collection, problem analysis, method analysis, design and testing of applications to be built, the purpose of this research is to solve the problems of the participants. KIS (Kartu Indonesia Sehat), which have been unsatisfied in terms of the decision of KIS (Kartu Indonesia Sehat) recipients. The results showed that of the three KIS (Kartu Indonesia Sehat) participants who were tested, there were two participants who deserved KIS (Kartu Indonesia Sehat) based on the results of the assessment of the five criteria used so that the calculation results using the Promethee method showed that the net flow from each of the alternatef is -1 for alternative 1 and 0.2 for alternative 2 and 0.8 for the third alternative.

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Review of PROMETHEE method in transportation

Production Engineering Archives ◽

10.30657/pea.2021.27.9 ◽

2021 ◽

Vol 27 (1) ◽

pp. 69-74

Author(s):

Laila Oubahman ◽

Szabolcs Duleba

Keyword(s):

Decision Making ◽

Decision Support ◽

Evaluation Method ◽

Scale Effects ◽

Decision Makers ◽

Preference Ranking ◽

Promethee Ii ◽

Partial Ranking ◽

Complete Ranking ◽

Promethee Method

Abstract In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.

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Application Decision Support System using PROMETHEE Method

10.31229/osf.io/3vbfr ◽

2019 ◽

Author(s):

Ade Parlaungan Nasution ◽

Dahrul Aman Harahap ◽

Ronal Watrianthos

Keyword(s):

Decision Making ◽

Decision Support ◽

Programming Language ◽

Conflict Of Interest ◽

Decision Makers ◽

Preference Ranking ◽

Student Selection ◽

Promethee Method ◽

Selection Decision ◽

Application Decision

Decision making is a condition that must occur at various top management levels and sometimesinterventions or conflict of interest occur in making decisions. Preference Ranking for Organization Method forEnrichment Evaluation (PROMETHEE) is a method that can be used to help decision makers in this case thebest student selection decision at a university. Tests carried out using the PROMETHEE method can produce acomplete ranking by eliminating the low value of each process in the PROMETHEE method and by developapplication using programming language it’s much faster to get decision.

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Sistem Pendukung Keputusan Dalam Menentukan Jenis Pohon Pelindung Yang Akan di Tanam Dipinggir Jalan Menggunakan Metode Promethee II

Jurnal Sistem Komputer dan Informatika (JSON) ◽

10.30865/json.v1i3.2164 ◽

2020 ◽

Vol 1 (3) ◽

pp. 226

Author(s):

Ardian Fadly Telaumbanua ◽

Muhammad Syahrizal ◽

Murdani Murdani

Keyword(s):

Decision Making ◽

Decision Support ◽

Tree Species ◽

Preference Ranking ◽

Selection System ◽

Promethee Ii ◽

The Road ◽

Microsoft Access ◽

Long Time ◽

Selection Of

A protective tree is a group of plants that have long canopy and thick leaves and trunk high enough to be a shade. Usually a protective tree becomes the main plant in a park. But what we often see is the protective tree planted along the road. Its function aside from being a shade tree is also intended to absorb pollution. It is necessary to determine the selection of the best tree species to be planted on the side of the road. The selection of protective tree species still uses a manual system and requires quite a long time. Based on these problems, we need a decision support system (SPK) that can facilitate the selection of the best protective tree species using existing criteria. One method that can be used is the Preference Ranking Organization Method for Enrichment Evaluation II (PROMETHEE II). This method is able to solve any type of problem in decision making with alternatives and criteria that have been given weight. Research using PROMETHEE II produces the composition of the usual protective trees to the best protective trees. The protective tree selection system was built using Microsoft Visual Studio 2008 and Microsoft Access 2010 as a database.

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Application Decision Support System using PROMETHEE Method

10.31227/osf.io/g37wx ◽

2019 ◽

Author(s):

Ronal Watrianthos

Keyword(s):

Decision Making ◽

Decision Support ◽

Programming Language ◽

Conflict Of Interest ◽

Decision Makers ◽

Preference Ranking ◽

Student Selection ◽

Promethee Method ◽

Selection Decision ◽

Application Decision

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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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A moral analysis of intelligent decision-support systems in diagnostics through the lens of Luciano Floridi’s information ethics

Human Affairs ◽

10.1515/humaff-2021-0013 ◽

2021 ◽

Vol 31 (2) ◽

pp. 149-164

Author(s):

Dmytro Mykhailov

Keyword(s):

Decision Making ◽

Decision Support ◽

Medical Diagnosis ◽

Moral Agency ◽

Moral Agent ◽

Well Being ◽

Medical Diagnostics ◽

Intelligent Decision ◽

Luciano Floridi ◽

Intelligent Decision Support

Abstract Contemporary medical diagnostics has a dynamic moral landscape, which includes a variety of agents, factors, and components. A significant part of this landscape is composed of information technologies that play a vital role in doctors’ decision-making. This paper focuses on the so-called Intelligent Decision-Support System that is widely implemented in the domain of contemporary medical diagnosis. The purpose of this article is twofold. First, I will show that the IDSS may be considered a moral agent in the practice of medicine today. To develop this idea I will introduce the approach to artificial agency provided by Luciano Floridi. Simultaneously, I will situate this approach in the context of contemporary discussions regarding the nature of artificial agency. It is argued here that the IDSS possesses a specific sort of agency, includes several agent features (e.g. autonomy, interactivity, adaptability), and hence, performs an autonomous behavior, which may have a substantial moral impact on the patient’s well-being. It follows that, through the technology of artificial neural networks combined with ‘deep learning’ mechanisms, the IDSS tool achieves a specific sort of independence (autonomy) and may possess a certain type of moral agency. Second, I will provide a conceptual framework for the ethical evaluation of the moral impact that the IDSS may have on the doctor’s decision-making and, consequently, on the patient’s wellbeing. This framework is the Object-Oriented Model of Moral Action developed by Luciano Floridi. Although this model appears in many contemporary discussions in the field of information and computer ethics, it has not yet been applied to the medical domain. This paper addresses this gap and seeks to reveal the hidden potentialities of the OOP model for the field of medical diagnosis.

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Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

Materials ◽

10.3390/ma14082084 ◽

2021 ◽

Vol 14 (8) ◽

pp. 2084

Author(s):

Raman Kumar ◽

Rohit Dubey ◽

Sehijpal Singh ◽

Sunpreet Singh ◽

Chander Prakash ◽

...

Keyword(s):

Decision Making ◽

Sensitivity Analysis ◽

Femoral Component ◽

Human Life ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Biomedical Science ◽

Human Beings ◽

Weighted Sum Method ◽

Selection Of

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

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