scholarly journals Decision Making Based On Management Information System and Decision Support System

2015 ◽  
Vol 93 (4) ◽  
pp. 260-269 ◽  
Author(s):  
Şükrü Ada ◽  
◽  
Mohsen Ghaffarzadeh
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Management Information System ◽  
Management Information

scholarly journals METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM PEMILIHAN BUDIDAYA IKAN LAUT (STUDI KASUS PADA BALAI PERIKANAN BUDIDAYA LAUT (BPBL) BATAM)

Jursima ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 60
Author(s):  
Zainul Munir Munir
Keyword(s):  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Management Information System ◽  
Management Information ◽  
Hierarchy Process

Sistem  Pendukung  Keputusan  (SPK)  atau  dikenal  dengan  Decision  Support    System  (DSS), pada  tahun  1970-an  sebagai  pengganti  istilah  <em>Management    Information  System</em>  (MIS).  Batam  merupakan  pulau  kaya  raya,  dimana  mempunyai  laut  yang  terdapat  ikan  melimpah ruah.  Penelitian  ini bertujuan  merancang  sistem  penunjang  keputusan  untuk  budidaya  ikan  laut  dengan  pendekatan metode  Analytical  Hierarchy  Process  (AHP),  sehingga  dapat  membantu  nelayan  dalam  memilih ikan  yang  mudah  dibudidayakan. Tahapan  penelitian  ini  yaitu  menetapkan  alternatif-alternatif dan  kriteria  dalam  sebuah  sistem  penunjang  keputusan  untuk  budidaya  ikan  laut. Dalam  hal budidaya  ikan  laut,  ada  beberapa  kriteria  dan  alternatif  agar  menjadi  ekonomis  dan menguntungkan,  antara  lain  kriteria  jenis  ikan  dan  alternatif-alternatif  yaitu  PH  air,  Jumlah Pakan,  Suhu,  dan  luas  keramba. Tahapan  yang  dilakukan  yaitu  menghitung  bobot  kriteria  mencari  normalisasi  matrik  setiap  bobot dan  kriteria,  mengecek  konsistensi  dengan  cara  mengitung  konsistensi  setiap  langkah-langkah yang  akan  dilakukan,  maka  kriteria  atau  jenis  ikan  yang  dibudidaya  akan  mendapatkan  nilai bobot  tertinggi,  selanjutnya  akan  dilakukan  perbandingan  setiap  kriteria  dan  alternatif-alternatif, Hasil  yang  didapatkan  adalah  nilai  bobot  dari    masing-masing  alternatif  yang  dirangking  dari tertinggi  sampai  terendah.  Hasil  nilai  alternatif  budidaya  ikan  yang  telah  diberi  rangking  tersebut dapat  digunakan  sebagai  pendukung  keputusan  dalam  menentukan  budidaya  pemilihan  ikan terbaik  di  Balai  Perikanan  Budidaya  Laut  Batam.

scholarly journals Management information system and firms’ performance in a developing economy: Evidence from the manufacturing sector in Nigeria

2021 ◽  
Vol 11 (2) ◽  
pp. 154-162
Author(s):  
Benneth Uchenna Eze ◽  
Oluyemisi Agboola ◽  
Olawale Muideen Aremu
Keyword(s):  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Management Information System ◽  
Manufacturing Sector ◽  
Manufacturing Firms ◽  
Management Information ◽  
Ogun State ◽  
Executive Information System

The employment of information system for conceptualisation of information analysis and control as well as decision-making, which depicts management information system (MIS), has aroused the interest of researchers and practitioners. This study examined the effect of MIS on manufacturing firms’ performance in Nigeria, by using two elements of MIS, namely the decision support system (DSS) and the executive information system (EIS). The study employed a survey research design, by administering questionnaires to some selected employees of manufacturing firms at Agbara Industrial Estate, Ogun State, Nigeria. The findings revealed that the two elements of MIS employed for this study (DSS and EIS) have an individual significant positive effect on manufacturing firms’ performance. It concluded that MIS elements (DSS and EIS) are important determinants of manufacturing firms’ performance. It is, therefore, recommended that manufacturing firms should employ MIS elements, particularly DSS and EIS, for the enhancement of their performance.   Keywords: Decision support system, executive information system, management information system, manufacturing firms, performance.

Assessing the Performance of Decision Support Systems in Military Environment

2015 ◽  
pp. 45-70 ◽  
Author(s):  
Jean-Fabrice Lebraty ◽  
Cécile Godé
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Extreme Environment ◽  
Is Success ◽  
Original Case ◽  
And Performance

This article explores the ability of a decision support system (DSS) to improve the quality of decision making in extreme environment. This DSS is actually based on a networked information system. Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain circumstances. This article provides new insights regarding the advantages provided by networked IS for making relevant decisions. An original case study has been conducted. It is focused on a networked decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis. Our result suggest the importance of three main fit criteria – Compliance, Complementarity and Conformity – to measure DSS performance under extreme environment and display a preliminary decisional fit model.

Intelligent Management Information System

2010 ◽  
pp. 329-356
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Management Information System ◽  
Management Information ◽  
Intelligent Decision ◽  
Development Direction ◽  
Human Decision ◽  
Intelligent Management

The Intelligent Management Information System (IMIS) has the potential to transform human decision making by combining research in Artificial Intelligence, Information Technology, and Systems Engineering. The field of Intelligent Decision Making (IDM) is expanding rapidly, due in part to advances in artificial intelligence and networkcentric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to the human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. It is the development direction of modern management science and technology. In this chapter, firstly we introduce the introduction and background of IMIS, and briefly, the related design conception. Subsequently, the Intelligent Decision Support System (IDSS) is depicted, which is the most significant technology of IMIS and related activities in the manufacturing process. The applications of IDSS and two cases for industrial manufacturing are then presented, representing the future development direction of manufacturing management. Lastly, a summary of this chapter is given. IMIS researchers and technologists have built and investigated Decision Support Systems (DSS) for more than 35 years. The developments in DSS began with building model-oriented DSS in the late 1960s which were followed by theory developments in the 1970s, and the implementation of financial planning systems and Group DSS in the early and mid-1980s. During the mid-1980s, Intelligent DSS were implemented through combining knowledge systems with DSS. These developments are discussed below, as well as the origins of Executive Information Systems, On-line Analytical Processing (OLAP), Business Intelligence, and the implementation of Web-based DSS in the mid-1990s, which quickly became a topic for active discussion, and whose influence spread widely.

scholarly journals PERANCANGAN SISTEM INFORMASI AKUNTANSI DENGAN METODE DECISION SUPPORT SYSTEM (DSS)

2012 ◽  
Vol 1 (1) ◽  
pp. 61-80
Author(s):  
Dony Waluya Firdaus ◽  
Lina Rosalina ◽  
Hery Dwi Yulianto
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
System Design ◽  
Support System ◽  
System Development ◽  
Accounting Information ◽  
Accounting Information System ◽  
Information System Design

The research was conducted at PT. Sinkona Indonesia Lestari is a manufacturing company engaged in the industry that produces quinine salt of quinine and its derivatives. The Company requires cash flow of financial statements information that is fast, precise, accurate and up to date for management decision making. Authors are interested with the title "Accounting Information System Design Method With Decision Support System (DSS”). Design studies using primary data and secondary data, system development methodology using output oriented methodology, process oriented methodology and the data oriented methodology. While the structure of system development used by the authors is Waterfall. Accounting information system design using a context diagram, data flow diagrams, system flowcharts, and Entity Relationship Diagram. With accounting information systems managers can improve the quality of decision making.

Improving Decision Making in Extreme Situations

2013 ◽  
Vol 9 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Cécile Godé ◽  
Jean-Fabrice Lebraty
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Is Success ◽  
Original Case ◽  
And Performance

This article explores the capacity of a decision support system (DSS) to improve the quality of decision making in extreme situations. This DSS is actually based on a networked information system (IS). Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users’ evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain events. This article provides new insights regarding the assessment of advantages provided by networked IS for making relevant decisions under such circumstances. An original case study has been conducted. It is focused on a decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis and suggests to take into account three main criteria – compliance, complementarity and conformity – to measure DSS performance under extreme situations.

Effectivness of Health Information System Applications: Clinical Information and Diagnosis-Treatment Systems in Turkey

2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Management Information System ◽  
Health Sector ◽  
Health Information System ◽  
Clinical Information ◽  
Clinical Decision ◽  
Clinical Information Systems ◽  
Management Information

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.

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