The Determination of the Action towards the Patient’s Psychological Therapy in the Post-accident  Using Case-based Reasoning

Mulyana, Sri; Sahputra, Ilham

doi:10.22146/ijccs.22886

“…Gambar 1. Kerangka Kerja Penelitian Banyak penelitian menggunakan CBR dalam AI [6], [7], [8], maka penelitian ini membangun sistem pakar dalam melakukan perhitungan menggunakan metode CBR. Data yang diolah oleh metode ini merupakan data-data penyakit berupa informasi tentang jenis, gejala dan solusi terhadap penyakit bakteri staphylococcus aureus pada manusia.…”

Section: Metodologi Penelitianunclassified

Sistem Pakar Menggunakan Metode Case Based Reasoning dalam Akurasi Penyakit Disebabkan oleh Bakteri Staphylococcus Aureus

Rahman

¹

,

Sumijan

²

2021

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Staphylococcus aureus is the most worrisome bacteria in the world of health because it is highly pathogenic and can cause serious infections in previously healthy individuals. Staphylococcus aureus has gram-positive cells, round (cocci) 0.7-0.9 µm in diameter, non-spore-forming, non-motile, facultative anoerobes, in colony shaped like a grape string. This bacterial infection in humans varies in severity, from minor skin infections (furunculosis and impertigo), urinary tract infections, respiratory infections, to eye infections. This causes many patients to need an expert (doctor) to consult about the symptoms that a patient appears or experiences and the risk factors felt by the patient. So they conducted this research using the Case Based Reasoning (CBR) method which consists of 4 steps, namely retrieve, reuse, retain and revise. By using the case-based reasoning method for a problem with the staphylococcus aureus bacterial disease, it is easier for a patient to find treatment and a solution. With an expert system using this method (case based reasoning), experts (doctors) can easily find out what diseases are suffered by staphylococcus. That way, patients with staphylococcus disease are prepared to deal with the disease they are suffering from.

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“…Banyak penelitian menggunakan CBR dalam AI [6], [7], [8], maka penelitian ini membangun sistem pakar dalam melakukan perhitungan menggunakan metode CBR. Data yang diolah oleh metode ini merupakan data-data penyakit berupa informasi tentang jenis, gejala dan solusi terhadap penyakit bakteri staphylococcus aureus pada manusia.…”

Section: Gambar 1 Kerangka Kerja Penelitianunclassified

Sistem Pakar Menggunakan Metode Case Based Reasoning dalam Akurasi Penyakit Disebabkan oleh Bakteri Staphylococcus Aureus

Rahman

¹

,

Sumijan

²

2020

JSisfotek

3

0

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Staphylococcus aureus is the most worrisome bacteria in the world of health because it is highly pathogenic and can cause serious infections in previously healthy individuals. Staphylococcus aureus has gram-positive cells, round (cocci) 0.7-0.9 µm in diameter, non-spore-forming, non-motile, facultative anoerobes, in colony shaped like a grape string. This bacterial infection in humans varies in severity, from minor skin infections (furunculosis and impertigo), urinary tract infections, respiratory infections, to eye infections. This causes many patients to need an expert (doctor) to consult about the symptoms that a patient appears or experiences and the risk factors felt by the patient. So they conducted this research using the Case Based Reasoning (CBR) method which consists of 4 steps, namely retrieve, reuse, retain and revise. By using the case-based reasoning method for a problem with the staphylococcus aureus bacterial disease, it is easier for a patient to find treatment and a solution. With an expert system using this method (case based reasoning), experts (doctors) can easily find out what diseases are suffered by staphylococcus. That way, patients with staphylococcus disease are prepared to deal with the disease they are suffering from.

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“…The CBR process has the most important step, which is to find the highest similarity value between new cases and old cases by adapting solutions from old cases that have already occurred [3]. In this study the process of similarity or approach using Nearest Neighbor (NN).…”

Section: Ijccsmentioning

confidence: 99%

“…Calculating the value of similarity (similarity cosine) between test data and all training data can be used Equation (3) [10]. (3) where is global similarity between source case and target case t. is local similarity feature -i between source case and feature target case . n is the amount of feature.…”

Section: ) Global Similaritymentioning

confidence: 99%

Case-Based Reasoning Using The Nearest Neighbor Method For Detection Of Equipment Damage To PLN Power Plant

Praptiwi¹,

Rokhman²,

Wahyono³

2020

Indonesian J. Comput. Cybern. Syst.

1

0

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Predictive Maintenance (PdM) at the PLN Power Plant is a periodic monitoring of equipment activities before the equipment is damaged in more severe conditions. According to an expert or PdM owner that maintenance analysis is not appropriate and efficiency has an impact on maintenance costs that are not small. In real conditions, the PdM owner analyzes equipment damage based on previous cases of damage equipment. Then we need a computer-based intelligent system that can help detect damage to equipment.Based on the Literature Review that has been done, Case-Based Reasoning can solve new problems using answers or experiences from old problems such as imitating human abilities. Case-Based Reasoning Process there is the most important step, which is to find the highest similarity value or the level of similarity between new cases and old cases by adapting solutions from old cases that have occurred (Sankar, 2004). In this study the process of similarity or approach using Nearest Neighbor.Testing on the system uses 20 test data and the measurement of system performance uses confusion matrix. Evaluation of testing using confusion matrix can be seen how accurately the system can classify data correctly that is equal to 97.98%. Then the precision value of 95% represents the number of positive categorized data that is correctly divided by the total data classified as positive. Furthermore, the test results of the equipment damage detection test data at the PLN plant with a threshold value of 0.75 using the nearest neighbor, the system has a performance with a 95% sensitivity level.

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The Determination of the Action towards the Patient’s Psychological Therapy in the Post-accident Using Case-based Reasoning

Abstract: Abstrak

Cited by 4 publications

References 9 publications

Sistem Pakar Menggunakan Metode Case Based Reasoning dalam Akurasi Penyakit Disebabkan oleh Bakteri Staphylococcus Aureus

Sistem Pakar Menggunakan Metode Case Based Reasoning dalam Akurasi Penyakit Disebabkan oleh Bakteri Staphylococcus Aureus

Sistem Pakar Menggunakan Metode Case Based Reasoning dalam Akurasi Penyakit Disebabkan oleh Bakteri Staphylococcus Aureus

Case-Based Reasoning Using The Nearest Neighbor Method For Detection Of Equipment Damage To PLN Power Plant

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