The Implementation and Testing of Online Self-Diagnose Covid19 Application Using CBR and UAT

Pratama, I Putu Agus Eka

doi:10.25008/ijadis.v2i2.1223

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…K-gram values are 3, 4, and 5 will be used sequentially to get the comparison in ascending order by k-gram. Below is the list of k-gram test with their respective value: a. K-Gram 3 User Acceptance Testing (UAT) is used to assess the user's understanding about the application which is made to answer a problem [16]. The test form was given to the public, so people can give a try to the developed search feature within the ecommerce app when they are trying to look for metal related item names.…”

Section: B Discussionmentioning

confidence: 99%

Implementation of Rabin Karp Algorithm in E-Commerce Search Box Feature (Case Study: Sinar Baja Store)

Arifin

Ismail

Firdaus

2023

Journal of Information Systems

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Inside any e-commerce platform, search features are a key factor in an online business. In order to look for the desired item name, users need to type a pattern into the search feature. Inside the typing process users may make some mistypes. Based on the problem, the writer tried to create a search box as the search feature inside an e-commerce system with a capability to look for item names, even if there are some accidental mistypes inside the user's typing process. The main purpose is to reduce the possibility of empty results after a searching process due to the user’s accidental mistypes. This research utilizes Rabin Karp Algorithm in order to look for the item names. Result of this research is that the Rabin Karp Algorithm can be implemented in a website-based e-commerce, but this method is slower than SQL as a method to search item names inside the same system. It happens because Rabin Karp requires a longer process than SQL to get the similarity percentage from each comparison. This research shows that k-gram value inside the algorithm affects the overall results with a condition where greater the value.

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Section: B Discussionmentioning

confidence: 99%

Implementation of Rabin Karp Algorithm in E-Commerce Search Box Feature (Case Study: Sinar Baja Store)

Arifin

Ismail

Firdaus

2023

Journal of Information Systems

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“…Metode yang digunakan untuk melakukan diagnosa yaitu dengan menggunakan Case Based Reasoning (CBR). CBR sendiri merupakan salah satu metode yang digunakan dalam membangun sebuah sistem yang bekerja untuk mendiagnosa kasus baru berdasarkan kasus lama yang sudah pernah terjadi sebelumnya [11]. Dimana sampel kasus yang digunakan pada diagnosa ini diambil dari tingkatan gejala yang dikutip oleh Kementerian Kesehatan Republik Indonesia.…”

Section: Metodeunclassified

Perancangan Diagnosa Covid-19 Menggunakan Metode Case Based Reasoning (CBR) Untuk Mengidentifikasi Tingkatan Gejala Pasien Covid-19

Rismawati,

Mulya

2024

FaktorExacta

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COVID-19 is a disease caused by a new coronavirus derivative, 'CO' taken from coronavirus, 'VI' virus, and 'D' disease (disease). The outbreak of this disease has shaken the world community so much that almost 200 countries in the world have been infected by this virus, including Indonesia. To reduce the number of COVID-19 sufferers, an expert system is needed that can carry out the process of identifying the symptoms of COVID-19 so that it is easier for patients to identify the type of COVID-19 they are suffering from and not make mistakes in the treatment process. Based on this background, researchers are interested in designing an expert system application that can assist the COVID-19 diagnosis process and can be used for public services such as health centers, clinics, and hospitals. The method used by researchers in designing this expert system is the case-based reasoning method. CBR is an approach to solving a problem based on solutions to previous problems. CBR has four process stages: retrieve, reuse, revise, and retain. From the results of testing six important features in the application involving five application users using the Blackbox Testing method, a testing percentage of 98.9% was obtained, which means that the application test results are in accordance with the user's wishes, and this application is expected to help in identifying patients with COVID-19 symptoms.

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The Implementation and Testing of Online Self-Diagnose Covid19 Application Using CBR and UAT

Cited by 2 publications

References 19 publications

Implementation of Rabin Karp Algorithm in E-Commerce Search Box Feature (Case Study: Sinar Baja Store)

Implementation of Rabin Karp Algorithm in E-Commerce Search Box Feature (Case Study: Sinar Baja Store)

Perancangan Diagnosa Covid-19 Menggunakan Metode Case Based Reasoning (CBR) Untuk Mengidentifikasi Tingkatan Gejala Pasien Covid-19

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