scholarly journals Sistem Pendukung Keputusan Pembelian Mobil Baru Dengan Menggunakan Metode Multi Attribute Utility Theory (Maut)

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Dhea Safitri ◽  
Hairil Kurniadi Siradjudin ◽  
Rosihan .
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Utility Theory ◽  
Support Systems ◽  
Decision Models ◽  
A Value ◽  
Multi Attribute Utility Theory ◽  
Structured Problems ◽  
Identification Stage ◽  
Using Data

Abstrak: Mobil adalah salah satu alat transportasi darat yang penting pada saat sekarang ini. Memiliki mobil bagi sebagian besar kalangan masyarakat pada saat ini bagaikan suatu hal yang pokok dimana dapat membantu mereka dalam beraktivitas khususnya dalam bekerja.Sistem Pendukung Keputusan membantu mengambil keputusan memanfaatkan data dan model keputusan untuk menyelesaikan masalah-masalah yang tidak terstruktur dan semi terstruktur. SPK dirancang untuk menunjang keseluruhan tahapan pembuatan keputusan, yang dimulai dari tahapan identifikasi masalah. Penelitian ini bertujuan untuk membangun sebuah sistem pendukung keputusan dengan menggunkan metode Multi Attribute Utility Theory (Maut), dan dapat memberi manfaat bagi calon pembeli mobil baru. Metode Maut merupakan suatu skema yang evaluasi akhir, v (x) dari suatu objek x didefinisikan sebagai bobot yang dijumlahkan dengan suatu nilai yang relevan terhadap nilai dimensinya. Kelebihan dari metode ini adalah dapat mengetahui dengan cepat tentang status akhir atau hasil. Penerapan metode ini mampu memberikan hasil rekomendasi sesuai dengan kriteria yang diinginkan.Kata Kunci: Mobil, Sistem Pendukung Keputusan, Multi Attribute Utility Theory (Maut).Abstract: Cars are one of the essential means of land transportation today. Having a car for most of the community is like a thing that can help them in their activities, especially at work. Decision Support Systems help make decisions using data and decision models to solve unstructured and semi-structured problems. DSS is designed to support all stages of decision-making, starting from the problem identification stage. This study aims to build a decision support system using the Multi-Attribute Utility Theory (Death) method to benefit prospective new car buyers. The Death Method is a scheme in which the final evaluation, v (x) of an object x, is defined as the weight added to a value relevant to its dimension value. The advantage of this method is that it can quickly find out about the final status or result. Moreover, the application of this method can provide recommendations according to the desired criteria.Keywords: Cars, Decision Support Systems, Multi-Attribute Utility Theory (Death)

scholarly journals Sistem Pendukung Keputusan Spesifikasi Biji Jagung Berkualitas Terbaik dengan Metode Multi Attribute Utility Theory

KOMTEKINFO ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 10-19
Author(s):  
Chairul Imam ◽  
Julius Santony ◽  
Yuhandri
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Utility Theory ◽  
Support Systems ◽  
High Quality ◽  
Multi Attribute Utility Theory ◽  
Corn Kernels ◽  
Total Price

Farmers sell corn kernels in the company of PT Charoen Pokphan Indonesia Tbk Medan, corn kernels are used to mix feed ingredients to meet the protein values and nutrition of these feeds to be of high quality. The company PT Charoen Pokphan Indonesia Tbk Medan buys corn kernels to farmers by specifying the best quality corn kernels, so they know the total price of corn kernels is in accordance with the quality needed. This research determines the criteria of the best quality types of corn kernels and how to apply the Multi Attribute Utility Theory to decision support systems to determine the quality of corn kernels, to be able to help the company PT Charoen Pokphan Indonesia Tbk Medan in determining the quality of corn kernels. Based on the criteria set out in the company PT Charoen Pokphan Indonesia Tbk Medan to obtain the best quality corn kernels using grade 1 to grade 4 and ranking. The results of testing these methods are produced a decision on an alternative with a total value of 86.7%. So this method is needed to evaluate the determination of the best quality corn kernels to produce the best decisions

Decision Support Systems and Decision-Making Processes

2010 ◽  
pp. 135-143 ◽  
Author(s):  
Udo Richard Averweg
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Problem ◽  
Upper Management ◽  
Structured Problems ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Computer Based

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

Decision Models and Group Decision Support Systems for Emergency Management and City Resilience

2021 ◽  
pp. 723-740
Author(s):  
Yumei Chen ◽  
Xiaoyi Zhao ◽  
Eliot Rich ◽  
Luis Felipe Luna-Reyes
Keyword(s):  
Decision Support ◽  
Emergency Management ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Group Decision Support ◽  
Group Decision Support Systems ◽  
Decision Models ◽  
Graduate Course ◽  
Coastal Cities

This paper introduces the concept of Group Decision Support Systems (GDSS) as a tool to support emergency management and resilience in coastal cities. As an illustration of the potential value of GDSS, we discuss the use of the Pointe Claire teaching case. Participants in the exercise work in groups to approach the case using four different computer-supported decision models to explore and recommend policies for emergency mitigation and city resilience. The case, as well as the decision models, can be a valuable GDSS tool, particularly in the mitigation stages of the emergency management cycle. We present preliminary results from the use of the case, models and a simulation environment in a graduate course. We finish the paper by presenting our experience as a framework for building more efficient and secure emergency management systems through the use of GDSS.

Decision Support Systems and Decision-Making Processes

2010 ◽  
pp. 218-224 ◽  
Author(s):  
Udo Richard Averweg
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Problem ◽  
Upper Management ◽  
Structured Problems ◽  
Decision Making Processes ◽  
Complex Decision Making ◽  
Computer Based

Decision support systems (DSS) deal with semi-structured problems. Such problems arise when managers in organisations are faced with decisions where some but not all aspects of a task or procedure are known. To solve these problems and use the results for decision-making requires judgement of the manager using the system. Typically such systems include models, data manipulation tools, and the ability to handle uncertainty and risk. These systems involve information and decision technology (Forgionne, 2003). Many organisations are turning to DSS to improve decision-making (Turban, McLean, & Wetherbe, 2004). This is a result of the conventional information systems (IS) not being sufficient to support an organisation’s critical response activities—especially those requiring fast and/or complex decision-making. In general, DSS are a broad category of IS (Power, 2003). A DSS is defined as “an interactive, flexible, and adaptable computer-based information system, specially developed for supporting the solution of a non-structured management problem for improved decision-making. It utilises data, it provides easy user interface, and it allows for the decision maker’s own insights” (Turban, 1995). There is a growing trend to provide managers with IS that can assist them in their most important task—making decisions. All levels of management can benefit from the use of DSS capabilities. The highest level of support is usually for middle and upper management (Sprague & Watson, 1996). The question of how a DSS supports decision-making processes will be described in this article. This article is organised as follows: The background to decisionmaking is introduced. The main focus (of this article) describes the development of the DSS field. Some future trends for the DSS field are then suggested. Thereafter a conclusion is given.

scholarly journals Sistem Pendukung Keputusan Menentukan Pemutusan Hubungan Kerja Karyawan CV. Biring Ndu Cahaya Panglong Dengan Metode AHP

2021 ◽  
Vol 4 (1) ◽  
pp. 7-13
Author(s):  
Eko Lianto Damanik ◽  
R Mahdalena Simanjorang
Keyword(s):  
Information System ◽  
Decision Support ◽  
Decision Support Systems ◽  
Building Materials ◽  
Support Systems ◽  
Ahp Method ◽  
A Value ◽  
A Company ◽  
Employee Data

CV Biring Ndu Cahaya Panglong is a company that sells various types of building materials and equipment, located in Tanah Merah village, Dusun II Pendukuan, Galang District. Currently CV. Biring Ndu Cahaya Panglong does not have an information system that is able to assist in managing employee data. The employee data includes all data related to employee control activities. The AHP method is one of the methods in decision support systems that is unique compared to the others. There are 10 alternative names and 5 criteria in determining layoffs, namely negligence in work (C1), absenteeism (C2), theft of goods (C3), not neat (C4), spreading company disgrace (C5). The results obtained from this study with the highest score is Arya Sinaga with a value of 0.272 which indicates that the alternative with the highest ranking will be dismissed from work. 

scholarly journals Simulasi Seleksi Pemain Futsal Porprov Bali Menggunakan Sistem Pendukung Keputusan Untuk Meningkatkan Kesiapan Atlet (Studi Kasus : Fakultas Olahraga dan Kesehatan, Undiksha)

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ni Putu Dwi Sucita Dartini ◽  
Agus Aan Jiwa Permana ◽  
Kadek Wirahyuni
Keyword(s):  
Decision Support ◽  
Physical Education ◽  
Decision Support Systems ◽  
Support Systems ◽  
Assessment Process ◽  
Structured Problems ◽  
Selection Of

ABSTRACT<br />Based on the experience of the writers who participated in the Porprov Bali committee,<br />observations in the Futsal athlete's assessment involved more subjectivity. Subjective decisions<br />can be detrimental to many parties, especially among Futsal athletes themselves. The sports<br />branch is highly emphasized on the value of sportsmanship, so it is necessary to involve a tool to<br />help solve the problem. Decision support systems (SPK) can be used as tools that aim to reduce<br />the level of subjectivity in the assessment process for semi-structured problems. SPK is used as a<br />simulation that will be used for students majoring in physical education at the Sports and Health<br />Faculty, Undiksha to find out whether they are eligible to pass the Porprov selection. With SPK it<br />will produce more objective decisions in semi-structured situations such as determining futsal<br />athletes that can be passed to Porprov because the results of decisions issued minimize the use of<br />intuition.<br />Keywords: Selection of Futsal, Porprov Bali athletes, SPK, Semiterstructure Decisions<br />ABSTRAK<br />Berdasarkan pengalaman penulis yang ikut dalam kepanitiaan Porprov Bali secara observasi dalam<br />penilaian atlet Futsal lebih banyak melibatkan faktor subyektifitas. Keputusan yang bersifat<br />subyektif dapat merugikan banyak pihak, khususnya di kalangan atlet Futsal itu sendiri. Cabang<br />olahraga sangat ditekankan nilai sportifitas sehingga perlu dilibatkan sebuah tools (alat bantu)<br />untuk membantu memecahkan masalah tersebut. Sistem pendukung keputusan (SPK) dapat<br />digunakan sebagai tools yang vertujuan untuk menurunkan tingkat subyektifitas dalam proses<br />penilaian untuk permasalahan semiterstruktur. SPK digunakan sebagai simulasi yang akan<br />digunakan untuk mahasiswa jurusan pendidikan jasmani pada Fakultas Olahraga dan Kesehatan,<br />Undiksha untuk mengetahui apakah mereka layak untuk lolos dalam seleksi Porprov. Dengan SPK<br />akan menghasilkan keputusan yang lebih obyektif dalam situasi semiterstuktur seperti dalam<br />menentukan atlet futsal yang dapat diloloskan ke Porprov karena hasil keputusan yang dikeluarkan<br />memperkecil penggunaan intuisi..<br />Kata Kunci : Seleksi atlet Futsal, Porprov Bali, SPK, Keputusan Semiterstruktur

scholarly journals DECISION CONCEPTS

2014 ◽  
pp. 18-22
Author(s):  
Miki Sirola
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Analysis ◽  
Decision Support Systems ◽  
Production Planning ◽  
Support Systems ◽  
Detailed Examination ◽  
Decision Models ◽  
Decision Science ◽  
Knowledge Based

Decision making is done in many application areas. Still most studies are done in such fields as economy and production planning. In methodologies used there exists more variation. This paper reviews the decision concepts discussed in the literature. Also some decision models by the author are commented. The field and practise in decision science is summarized. Although decision support systems are the final results of many projects, they are mostly based on the decision concepts behind the studies that deserve also more detailed examination. Decision analysis approach and knowledge-based technologies are examples of commonly used concepts.

Distributed Model Management

2011 ◽  
pp. 272-277 ◽  
Author(s):  
Omar F. El-Gayar ◽  
Amit V. Deokar
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Dynamic Environment ◽  
Decision Makers ◽  
Model Management ◽  
Internet Technology ◽  
Decision Models ◽  
Distributed Model ◽  
Distributed Decision

Modern organizations are faced with numerous information management challenges in an increasingly complex and dynamic environment. Vast amounts of data and myriads of models of reality are routinely used to predict key outcomes. Decision support systems (DSS) play a key role in facilitating decision making through management of quantitative models, data, and interactive interfaces (Power, 2000). The basic thrust of such applications is to enable decision-makers to focus on making decisions rather than being heavily involved in gathering data and conceiving and selecting analytical decision models. Accordingly, the number and complexity of decision models and of modeling platforms has dramatically increased, rendering such models a corporate (and national) resource (Muhanna & Pick, 1994). Further, Internet technology has brought many new opportunities to conduct business electronically, leading to increased globalization. Managers and decision makers are increasingly collaborating in distributed environments in order to make efficient and effective use of organizational resources. Thus, the need for distributed decision support in general, and model sharing and reuse in particular, is greater today than ever before. This has attracted significant attention from researchers in information systems-related areas to develop a computing infrastructure to assist such distributed model management (Krishnan & Chari, 2000). In this article, we focus on distributed model management advances, and the discussion is organized as follows. The next section provides a background on model management systems from a life-cycle perspective. This is followed by a critical review of current research status on distributed decision support systems from a model management viewpoint with a particular emphasis on Web services. Future trends in this area are then discussed, followed by concluding remarks.

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