Decision Support System with Multi Criteria Decision Making Technique

Jayady, Arman; Hidayat, Tonny; Qomariyah, Erni; BB, Suriyani; Husain, Muh. Najib; Caniago, Aspizain; Rusmardiana, Ana; Pulungan, Delyana Rahmawany; Eteruddin, Hamzah; Timotius, Elkana; Nurhayati, Siti

doi:10.1088/1742-6596/1933/1/012017

Cited by 7 publications

(8 citation statements)

References 2 publications

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“…Commitment must also exist in the company's main organization in supporting the decision to use the earned value concept in project management (Jayady, Hidayat, et al, 2021).…”

Section: Project Delay Prediction With Earned Value Method: a Case On...mentioning

confidence: 99%

Project Delay Prediction With Earned Value Method: A Case on the CSS-Apartment Project in Surabaya-Indonesia

Jayady

Supratman

2022

IJOMS

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The risk of delay is very likely to occur in a construction project. Especially in large-scale infrastructure projects that are accompanied by high complexity. Careful planning and prediction both related to aspects of design, implementation, including scheduling are very important. Problems that often arise in large-scale and complex construction projects are early predictions related to delays in the final completion of a project. This study aims to predict the occurrence of delays in project completion. Based on secondary data obtained from construction contractors and by using appropriate analytical procedures, the result is that the CSS-Apartment project is predicted to experience a delay of 57 weeks from the planned 146 weeks. The data is obtained directly from the project site. After all the data has been obtained, the processing is carried out using the Earned Value Method. Literature study is done by reading literature related to this writing Based on the case of an apartment project called CSS-Apartment Project in Surabaya - Indonesia, and using the Earned Value method.

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“…Commitment must also exist in the company's main organization in supporting the decision to use the earned value concept in project management (Jayady, Hidayat, et al, 2021).…”

Section: Project Delay Prediction With Earned Value Method: a Case On...mentioning

confidence: 99%

Project Delay Prediction With Earned Value Method: A Case on the CSS-Apartment Project in Surabaya-Indonesia

Jayady

Supratman

2022

IJOMS

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“…The relevant field of knowledge for this is the decision support system (DSS). In this problem, DSS is based on several parameters known as Multi-Criteria Decision-Making (MCDM) which have (Jayady et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Indicator of Highway Conditions on Traffic Density Levels

Rosita

Akbar²,

Kurniawan³

2023

ijeeit

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Traffic problems, especially congestion which is the impact of high levels of traffic density, are problems that have not been properly resolved, especially in big cities in Indonesia. In this article, 7 features of road conditions are proposed on the level of traffic density. These features include the number of vehicles, the average speed of the vehicle, the area of the main road, the length of traffic that has been determined, the duration of traffic congestion, and the time of traffic congestion. Determining the level of traffic density can be determined by utilizing the MCDM hybrid technique to produce information that can be used to support decision-making in traffic management or other policies such as formulating policies on the buying and selling of private vehicles. The number of indicators related to computer vision for presenting information on the level of traffic density requires a large amount of time and memory. Besides that, the perception of a decision maker in determining priority weights also influences the results of the information on the level of traffic density.

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“…Alternative recommendations use the Simple Multi-Attribute Rating Technique (SMART) method by looking for alternatives that have the highest preference value [8], so that the recommendations obtained are accurate based on the specified criterion values [9]. The advantage of this method is that it is simple and can be used for all types of weighting techniques [10], so it can help make decisions in application areas in environmental, construction, logistics transportation, military, manufacturing, and assembly issues [11]. One of the roles of a decision support system is that it can assist decision-makers in obtaining alternatives that are by the objectives of multi-criteria decision-making [12], where each alternative has criteria and has value and weight to facilitate decision-making with special cases [13].…”

Section: Introductionmentioning

confidence: 99%

Priority Recommendations for Residential Road Improvement Using the SMART Analysis Method

Sumaryanti,

Nugraha,

Lamalewa

2023

SISFOKOM

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Roads are infrastructure for organizing transportation, which are places for traffic to flow both for people and goods to reach destinations safely, securely, comfortably, quickly, smoothly, orderly, and efficiently, especially roads in residential areas. Setting priorities for the road improvement program is the responsibility of the Public Housing, Settlement Areas, and Land Affairs Office, which handles technical planning, development, arrangement, supervision, and control of development in residential areas. Recommendations for road proposals for the currently running improvement program, based on an assessment of their physical condition, are carried out by experts. This prioritization certainly takes a long time because experts have to compare the physical conditions of the roads one by one to make a decision. A decision support system is specifically designed for the decision-making process that can be applied in various aspects of the decision-making field. Recommendations for alternative roads in the road improvement program were analyzed using the SMART method to find alternatives with the highest preference value and the advantage that they can be used for all weighting techniques. Accuracy testing shows that the priority recommendation output presented by the application has an accuracy rate of 80%. This value is obtained by comparing the results of recommendations from experts.

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Decision Support System with Multi Criteria Decision Making Technique

Cited by 7 publications

References 2 publications

Project Delay Prediction With Earned Value Method: A Case on the CSS-Apartment Project in Surabaya-Indonesia

Project Delay Prediction With Earned Value Method: A Case on the CSS-Apartment Project in Surabaya-Indonesia

Indicator of Highway Conditions on Traffic Density Levels

Priority Recommendations for Residential Road Improvement Using the SMART Analysis Method

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