Factors Influencing the Selection of Decision Support Systems for Emergency Management: An Empirical Analysis of Current Use and User Preferences

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.

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A Participatory Approach to Designing Decision Support Systems in Emergency Management

International Journal of Decision Support System Technology ◽

10.4018/ijdsst.2014010104 ◽

2014 ◽

Vol 6 (1) ◽

pp. 60-80 ◽

Cited By ~ 1

Author(s):

Pietro Baroni ◽

Daniela Fogli ◽

Massimiliano Giacomin ◽

Giovanni Guida ◽

Loredana Parasiliti Provenza ◽

...

Keyword(s):

Decision Support ◽

Emergency Management ◽

Decision Support Systems ◽

Participatory Design ◽

Support Systems ◽

Participatory Approach ◽

Work Environments ◽

System Evaluation ◽

Health Related ◽

Pandemic Flu

This article presents a participatory design approach to Decision Support Systems, which is specifically built to face the socio-technical gap that often impedes DSS acceptability by end-users in real work environments. The approach has been experimented in two case studies in the field of health-related emergencies, namely earthquake and pandemic flu. The application of the approach and the results obtained are described with specific focus on the phases of requirement analysis and system evaluation.

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Seleksi Penyerang Utama Menggunakan K-Means Clustering Dan Sistem Pendukung Keputusan Metode Topsis

Technomedia Journal ◽

10.33050/tmj.v2i1.314 ◽

2017 ◽

Vol 2 (1) ◽

pp. 37-48

Author(s):

Renenata Ardilesmana Siregar

Keyword(s):

Data Mining ◽

Decision Support ◽

Decision Support Systems ◽

Support Systems ◽

Selection Process ◽

Ideal Solution ◽

Major Player ◽

The Right ◽

Selection Of ◽

The Ideal

Untuk menentukan penyerang ideal dalam sepak bola agar sesuai karakter dan kriteria yang diharapkan, diperlukan pelatih yang mempunyai naluri tajam dan juga sistem yang bisa membantu pelatih dalam memberikan pilihan. Biasanya dalam proses penentuan pemain masih dilakukan secara manual dengan melihat dari karakter dan kriteria dari pemain tersebut. Tetapi terkadang hanya dengan melihat dari karakter dan kriteria dari pemain tersebut saja masih kurang cukup sehingga jauh dari apa yang diharapkan. Untuk mempermudah dalam pemilihan penyerang ideal, maka diperlukan suatu sistem yang dapat membantu pelatih untuk memilih penyerang yang dibutuhkan sesuai dengan kebutuhan tim yaitu dengan menggunakan teknik K-Means Clustering dalam metode data mining sebagai proses dalam menyeleksi pemain untuk bergabung dalam suatu tim dan juga didukung dengan metode Sistem Pendukung Keputusan (Decision Support Systems) The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) sebagai proses dalam menentukan penyerang yang akan bermain sebagai pemain utama dalam tim yang menggunakan beberapa kriteria untuk memilih pemain yang tepat. Dengan hasil penelitian ini, diharapkan dapat membantu pelatih dalam proses seleksi pemain dan dapat mengubah cara penilaian terhadap sifat subjektif agar lebih obyektif dalam pengambilan keputusan. Kata Kunci :Data Mining, K-Means Clustering, Sistem Pendukung Keputusan To determine the ideal attacker in football to match the expected character and criteria, a coach who has a sharp instinct and a system that can assist the coach in providing choices. Usually in the process of determining the player is still done manually by look ing at the characters and criteria of the player. But sometimes just by look ing at the characters and criteria of the player is still not enough so far from what is expected. To facilitate the selection of ideal attackers, a system that can help the trainer to select the attacker needed according to the needs of the team is by using K-Means Clustering technique in the method of data mining as a process in selecting players to join a team and also supported by Decision Support Systems method The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is the process of determining which attack er will play as a major player in the team using multiple criteria to select the right player. With the results of this study, it is expected to assist trainers in the selection process of players and can change the way the assessment of the subjective nature to be more objective in decision making. Keywords: Data Mining, K-Means Clustering, Decision Support System.

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

Jurnal Teknologi Informasi dan Komputer ◽

10.36002/jutik.v4i1.399 ◽

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

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