Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls

Fernando, Yusra; Napianto, Riduwan; Borman, Rohmat Indra

doi:10.15548/isrj.v2i02.4359

Cited by 20 publications

(22 citation statements)

References 16 publications

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“…This research resulted in an accuracy of 85% [5]. Further research concerns the application of the Dempster-Shafer Theory algorithm to the psychological diagnosis of impulse control disorders [6]. The model developed produces an accuracy rate of 85%.…”

Section: Introductionmentioning

confidence: 92%

“…The Dempster-Shafer Theory approach is a mathematical framework that is able to overcome uncertainty by combining evidence from various sources to produce more accurate estimates [9]. This approach can accommodate incomplete or ambiguous information, which often appears in the real world [6]. In addition, the Dempster-Shafer Theory algorithm allows combining various sources of information that are related to each other, including information that is conflicting or inconsistent.…”

Section: Introductionmentioning

confidence: 99%

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Expert System for Diagnosing Behavioral Disorders Using the Dempster-Shafer Theory Algorithm

Mayatopani

2024

teknokom

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Behavioral disorders, especially in children, can have a significant impact on their development in various domains, such as social, emotional, and academic. The diagnostic process for this disorder can be complicated due to overlapping symptoms and the possibility of complex causal factors. Early identification and appropriate treatment of behavioral disorders is essential to prevent more serious impacts on an individual's psychological well-being. Lack of knowledge and difficulty in accessing psychiatrists to find out about behavioral disorders in children are factors that result in this problem requiring a solution. The aim of this research is to create an expert system that utilizes the Dempster-Shafer Theory algorithm to detect behavioral disorders, thus simplifying the diagnosis process and ensuring accurate results. The Dempster-Shafer theory, as an inference engine, can overcome uncertainty by combining several sources of evidence or data that may overlap or be incomplete, resulting in a stronger conclusion. The main feature of this expert system is its ability to carry out diagnoses based on symptoms and display diagnosis results, disease descriptions, and treatment options. Test accuracy produces a value of 90%, which shows that the Dempster-Shafer Theory approach can diagnose behavioral disorders effectively.

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Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Expert System for Diagnosing Behavioral Disorders Using the Dempster-Shafer Theory Algorithm

Mayatopani

2024

teknokom

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“…At this stage coding is done to build the system. Coding is the stage of converting the results of the design through a programming language that can be recognized by a computer to build a system [22], [23]. The system being developed is based on a website, the tool used for coding is Sublime Text and for data storage it uses a MySQL database.…”

Section: ) System Implementationmentioning

confidence: 99%

Decision Support System Using the Composite Performance Index (Cpi) for Wireless Repeater Selection

Trianto

Shalahudin

Riyanto

2023

JTI

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To connect to the internet, a device must have an internet connection via an internet network, one of which is through a wireless network or what is called Wireless Fidelity (Wi-Fi). On a Wi-Fi network there is a Wi-Fi router that is used to provide a connection to the internet network, but the signal from the WI-FI router is limited. Then the Wi-Fi signal needs to be strengthened with a signal booster known as a Wi-Fi Repeater or Wi-Fi Extender. Wi-Fi Repeaters are important devices for individuals, agencies and companies so that the desired areas get internet connection. So, to make a purchase of this product, foresight is needed so that the device chosen is right and in accordance with the needs. The large selection of Wi-Fi Repeater products on the market results in a person having to find information in advance regarding the specifications of the Wi-Fi Repeater product to be purchased. This has an impact on the length of the process in making decisions. The purpose of this research is to implement the Composite Performance Index (CPI) method on a decision support system for choosing Wi-Fi Repeaters, so that it can make it easier for users to determine alternatives quickly and precisely. The CPI method is used to solve decision problems with a number of alternatives through a combined index to rank alternatives from several criteria. The results of the calculations in the case study produced the highest combined index value, namely the Asus N300 Range Extender (A2) getting a score of 125, then followed by Mercusys WiFi Extender (A1) getting a score of 92.5, Comfast WiFi Extender (A3) getting a score of 100 and Xiaomi Mi AC1200 (A4) get a value of 100. The calculation results of the CPI method obtained by the system obtain the same value as manual calculations, so the developed system is declared valid. In addition, based on tests using black-box testing, it shows that the system built can function as it should.

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“…Uji sistem memiliki fungsi agar dapat dipastikan bahwa sistem yang dibangun dapat bekerja sebagaimana mestinya serta tidak terdapat fungsi yang tidak sesuai jika dijalankan [20]. Black-box testing menjadi alat untuk pengujian pada penelitian ini.…”

Section: E Pengujian Sistemunclassified

Sistem Pendukung Keputusan Pemilihan Platform Investasi P2P Lending Menggunakan Metode Complex Proportional Assessment (COPRAS)

Bagir¹,

Riyanto²,

Nuraini³

et al. 2023

bits

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Through technological developments, many fintech P2P lending have emerged which are competing to offer convenience in transactions and offer fast processes. To determine a P2P lending platform as a place to invest, one must know in advance about the company profile or the application and programs offered as a whole. This of course will take a long time to select a P2P lending platform. If you choose an inappropriate P2P lending platform, it will result in losses. The purpose of this research is to build a Decision Support System (DSS) for choosing a P2P lending platform by implementing the Complex Proportional Assessment (COPRAS) approach in order to get the right decision and not take a long time. The COPRAS approach has the ability to produce the best alternative which is limited to alternative analysis through alternative assumptions by providing utility judgment so that the attributes of each alternative are arranged based on intervals. Based on the results of the case studies conducted, the highest utility score was Danamas Lender with a score of 100, then followed by Alami Funding Sharia with a score of 99.2338, Accelerant with a score of 89.8827 and Amartha Microfinance with a score of 83.4988. In addition, based on the results of black box testing, it shows that the software can run as it should.

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Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls

Cited by 20 publications

References 16 publications

Expert System for Diagnosing Behavioral Disorders Using the Dempster-Shafer Theory Algorithm

Expert System for Diagnosing Behavioral Disorders Using the Dempster-Shafer Theory Algorithm

Decision Support System Using the Composite Performance Index (Cpi) for Wireless Repeater Selection

Sistem Pendukung Keputusan Pemilihan Platform Investasi P2P Lending Menggunakan Metode Complex Proportional Assessment (COPRAS)

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