APPLICATION OF DECISION SUPPORT SYSTEM FOR DETERMINING AMPHIBIOUS LANDING BEACH IN WEST PAPUA INDONESIA

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
Budi Setiarso ◽  
Udisubakti Ciptomulyono ◽  
Bambang Suharjo ◽  
I Nengah Putra ◽  
A K Susilo

ABSTRACT Determination of the landing beach becomes a must for the Marine Forces of the Indonesian Navy as an element of the landing forces in order to carry out the task of amphibious operations in particular to determine the ideal landing beach location for the successful implementation of the task. Requirements on the determination of ideal landing beaches should be in accordance with predetermined parameters and serve as an important component in determining the weighting value of landing beach selection criteria. This study aims to determine the location of landing beaches by using the Preference Ranking Method Method of Organization for Enrichment Evaluation (PROMETHEE) combined into the Borda method. The research stages started from determining the value of criterion preferences to the landing beach alternative options analyzed by PROMETHEE method then processed again in Borda method. The PROMETHEE method is used to analyze individual decisions of decision makers, while the Borda method is used to manage group decisions from the PROMETHEE method of ranking. The use of both methods is a solution to generate more objective group decisions so as to obtain a ranking result against the selection of logical amphibious landing beaches and have an objective value in accordance with accurate data and greatly assist decision-makers to solve multi-criteria problems. From the results of this study can be seen that the location of the selected beach is the most feasible to serve as the location of landing beaches in amphibious operations is Beach 3 with a weighted value of 0.389.  Keywords: Amphibious operations, the landing beach, Decision Support Systems, PROMETHEE, Borda

2021 ◽  
Vol 27 (1) ◽  
pp. 69-74
Author(s):  
Laila Oubahman ◽  
Szabolcs Duleba

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.


2019 ◽  
Author(s):  
Ade Parlaungan Nasution ◽  
Dahrul Aman Harahap ◽  
Ronal Watrianthos

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.


2019 ◽  
Author(s):  
Ronal Watrianthos

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.


2014 ◽  
Vol 718 ◽  
pp. 105-109
Author(s):  
Eva Oravcová ◽  
Miroslav Zelko

Comprehensive environmental observation, eco-innovation and smartization are essential to ensure the delivery of the long-term data and information required to address the shift towards smart, green and integrated raw materials efficiency. For this reason we need the mine-wide digitalization and informatization base model, an advanced mine-wide decision support system and a smart supervision system to supervise and control the production, back to predefined short-term production targets with most likelihood and optimal approaches. There are three main steps to be taken: analysis, evaluation and determination of the shift requirements, development of the models as well as modeling of the scenarios and connection to the smart platform for the support of the decision makers. The paper aims to consider what would be required for a raw materials area to operate as a modern smart technology-supported business. It attempts to provide a vision of some future smart architectures scenarios.


2019 ◽  
Vol 15 (2) ◽  
pp. 64
Author(s):  
Yudi Eko Windarto ◽  
Harits Fathuddin ◽  
Oky Dwi Nurhayati

<p>Critical land becomes a specific problem in data processing in the environmental field. Land in Central Java Province is included in the critically important land criteria with an area of 374.000 hectares. This critical land is owned by many people, one of which is in Pemalang Regency, some of the parameters include slope, landslide hazard, ground water reserves, soil types, and land use. Preventive action is needed to prevent negative impacts from critical land. Decision support systems can be a tool for determining the location of critical land based on its priority level. Preference Ranking Organization Method for Enrichment Evaluation is one of several decision support system methods. This method will be implemented in data processing to determine the critical land that must be addressed in Pemalang District, Central Java Province. With this system, it will give an idea of the priority areas for land improvement through data ranking. This system was built using PHP programming language and MySQL database. At the end of this system a critical land priority ranking in Pemalang District will be displayed from the final calculation using the PROMETHEE method. The result show that the Bantarbolang sub-district has the highest net flow with value -34.10 as the region with the highest critical land priority.</p><img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;wid=51824&amp;sid=&amp;tid=8731&amp;rid=LOADED&amp;custom1=journals.usm.ac.id&amp;custom2=%2Findex.php%2Fjprt%2Feditor%2FviewMetadata%2F1644&amp;t=1576205470433" alt="" /><img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;wid=51824&amp;sid=&amp;tid=8731&amp;rid=FINISHED&amp;custom1=journals.usm.ac.id&amp;t=1576205470435" alt="" /><img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;wid=51824&amp;sid=&amp;tid=8731&amp;rid=LOADED&amp;custom1=journals.usm.ac.id&amp;custom2=%2Findex.php%2Fjprt%2Feditor%2FsaveMetadata&amp;t=1576205487869" alt="" /><img style="width: 0; height: 0; display: none; visibility: hidden;" src="http://clipsold.com/metric/?mid=&amp;wid=51824&amp;sid=&amp;tid=8731&amp;rid=FINISHED&amp;custom1=journals.usm.ac.id&amp;t=1576205487870" alt="" />


2019 ◽  
Vol 3 (4) ◽  
pp. 376
Author(s):  
Andri Yunaldi

Decision support system (DSS) is a system that helps decision makers in this case the principal, so that the decisions produced are considered effective and appropriate to solve the problems faced. Specifically in determining the provision of assistance to poor students, the determination of the criteria is aimed at making the recipient of the assistance in accordance with the purpose of the assistance itself. In this study, the authors applied a combination of SAW and ROC methods in selecting beneficiaries. ROC (Rank Order Centroid) is a method that can produce weight values, while Simple Additive Weighting (SAW) is a method used to rank poor prospective student assistance recipients as an alternative. The results of the study are expected to contribute to the development of science, especially the principal in the selection decision for recipients of poor student assistance


2019 ◽  
Vol 3 (4) ◽  
pp. 381
Author(s):  
Ronal Watrianthos ◽  
Kusmanto Kusmanto ◽  
Elida F. S. Simanjorang ◽  
Muhammad Syaifullah ◽  
Ibnu Rasyid Munthe

Students rank requires several considerations and criteria. Determination of the criteria must be prepared as much as possible because it is related to the selection of outstanding students. However, this ranking is considered less than optimal and requires a long time because it is processed manually by the school. The right Decision Support System is needed to produce quick and accurate ranking decisions. This study uses the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) as a Decision Support System. This method will use multi-criteria as the main input in decision making. PROMETHEE will be used to analyze criteria based on alternatives compared to rank according to students' grades and abilities. Based on the research sample data, the highest value was 0.739 for alternative A16. This shows that alternative A16 is the best alternative compared to other alternatives based on consideration of all criteria. The development of PROMETHEE with application-based Decision Support Systems is much better because it produces fast and accurate calculations.


2021 ◽  
Vol 5 (2) ◽  
pp. 739
Author(s):  
Reva Octaviani Siregar ◽  
Deci Irmayani ◽  
Masrizal Masrizal

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.


2021 ◽  
pp. 1-17
Author(s):  
Byanca Porto de Lima ◽  
Fernando Augusto Silva Marins ◽  
Aneirson Francisco da Silva

This paper presents a new hybrid decision-making support method (New Hesitant Fuzzy AHP-QFD-PROMETHEE II Method), which jointly uses the Analytic Hierarchy Process (AHP), the Quality Function Deployment (QFD) and the Preference Ranking Method for Enrichment Evaluation (PRO-METHEE II), as well as the Hesitant Fuzzy Linguistic Term Sets (HFLTS) to capture hesitation and aggregate divergent opinions from different experts. A real application of the new method to a packaging design selection problem for an automotive company is described, finding that AHP assisted in determining the importance of QFD’s customer requirements (CRs) and PROMETHEE II was used to select the best packaging design. With this same problem, for the purpose of validating the proposed method, a comparative analysis was made with the use of the Hesitant Fuzzy AHP-QFD-TOPSIS method and also with the traditional AHP-QFD-PROMETHEE method, which makes it impossible to capture the hesitation of decision makers. The result showed similarity in the rankings of design alternatives found in the three methods application. The proposed method proved advantageous for solving problems that can generally be solved with the QFD House of Quality but have serious difficulties when decision makers have divergent opinions and hesitate in evaluating criteria and alternatives.


JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 22
Author(s):  
Sutikno Wahyu Hidayat ◽  
I Nengah Putra A ◽  
Ike Agustiyani ◽  
Adi Bandono

The development of a franchise business requires the opening of new branches to be able to expand the wider market in the community. The selection of a franchise's new location is a very decisive factor in the success of the franchise in the future. With the new location allows to increase the range, market and number of consumers. The object of research in this case is a retail franchise. The PROMETHEE method is used to manage individual decisions of each decision maker, while the Borda method is used to manage group decisions on the results of the PROMETHEE method ranking. The use of these two methods is one solution to produce more objective group decisions. Alternative ranking of this location is in accordance with the rules and policies and procedures for opening a new branch of a retail franchise. The variables in this study are facilities and infrastructure, crime, per capita income, economic growth, population and the number of retail franchises around the alternative location for opening the retail franchise branch. The results obtained from this study are location E or Endrosono area as the best alternative location.


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