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All Journal Indonesian Journal of Information System Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Zalizah Awang Long
Universiti Kuala Lumpur
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

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Clinical Decision Support System in Computational Methods: a Review Study Sri Sumarlinda; AzizahBinti Rahmat; Zalizah Awang Long
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.431 KB) | DOI: 10.47701/icohetech.v1i1.814

Abstract

Clinical Decision Support Systems (CDSS) are computational models designed impact clinical decision making about individual patients at the point in time that these decision are made. Clinical Decision Support Systems (CDSS) form an important area of research. While traditional systematic literature surveys focus on analyzing literature using arbitrary results, visual surveys allow for the analysis of domains by using complex network-based analytical models. In this paper, we present a detailed visual survey of CDSS literature using important papers selected. The aim of this study is to review a number of articles related to CDSS for heart and stroke diseases. In this study several articles are comparable to the computational methods and rules used for data processing. From the analysis of several sources of literature, the computational methods and rules used in CDSS are Principle Component Analysis (PCA), Support Vector Machine (SVM), Naïve Bayes data mining algorithm, Case Based Recommendation Algorithm, Weighted Fuzzy Rules, Ontology Reasoning, TOPSIS Analysis, Genetic Algorithms, Fuzzy Neural network, Case-based reasoning (CBR), Weighted Fuzzy Rules and Decision Tree.
System Dynamic Analysis of the Fleet Availability and Reliability Influence on the Lead Time of the Delivery Order Process Theresia Liris Windyaningrum; Chatarina Dian Indrawati; Zalizah Awang Long; Vinsensius Widdy Tri Prasetyo; Lorensius Anang Setiyo Waloyo; Petrus Setya Murdapa
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7049

Abstract

The inventory replenishment process in the warehouse becomes difficult if there is uncertainty. It can cause warehouse performance not to be as expected. The warehouse is an important part of the supply chain subsystem, which smooths the flow of goods from upstream to downstream throughout the system. This paper uses system dynamics modeling to analyze the replenishment of raw materials where there is randomness in availability and reliability and their effects on the delivery lead time of the fleet. The model obtained is much simpler but more robust when compared to the analytical-mathematical model or the discrete-events simulation. Tests on the model show that the model can behave as it should logically. Several experiments were conducted to see how fleet availability's reliability can affect the delay in receiving or delivery lead time. One interesting thing revealed is that reliability does not have to be 100%, but there is a certain minimum threshold for the system to perform well. This is different from availability, which must be 100%.
Co-Authors AzizahBinti Rahmat Chatarina Dian Indrawati Lorensius Anang Setiyo Waloyo Petrus Setya Murdapa Sri Sumarlinda Theresia Liris Windyaningrum Vinsensius Widdy Tri Prasetyo