Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android

Pranata, Feriantano Sundang; Na’am, Jufriadif; Sumijan, Sumijan

doi:10.29207/resti.v3i3.1187

Cited by 10 publications

(9 citation statements)

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“…Sistem ini dibangun menggunakan Framewoork Codeigniter. Sistem pakar adalah sistem komputer yang didasarkan pada pengetahuan terintegrasi dalam sistem informasi dasar yang ada, sehingga memiliki kemampuan untuk menyelesaikan masalah di bidang tertentu secara cerdas dan efektif, sebagaimana layaknya seorang pakar [3]. Sistem Pakar harus dilengkapi sebuah metode yang dapat memberikan atau menghasilkan nilai output atas fakta-fakta yang diderita pasien.…”

Section: Pendahuluanunclassified

Sistem Pakar Metode Forward Chaining untuk Mengukur Keparahan Penyakit Gigi dan Mulut

Yansyah

Sumijan

2021

JSisfotek

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Teeth and mouth are parts of the body that cannot be separated, where the teeth are in the oral cavity so that if there is interference with the teeth it will affect the mouth. Knowledge to recognize dental and oral diseases from an early age is very much needed to be able to maintain healthy teeth and mouth. Lack of knowledge about these oral and dental diseases will result in severe damage to teeth and mouth. This study aims to measure the severity of oral disease and provide a diagnosis of oral and dental disease so that later it can be used as a reference for consultation with a doctor. The method used in this research is Forward Chaining to represent the rules of 27 symptom facts and 8 diseases described by experts. The results of testing for this method are as many as 10 patient data were diagnosed to get the same result as the doctor's analysis so that the accuracy rate is 80%. The expert system designed with the Codeigniter Framework can provide insight by being able to identify the disease suffered by patients and measure the severity of the oral and dental disease suffered.

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Section: Pendahuluanunclassified

Sistem Pakar Metode Forward Chaining untuk Mengukur Keparahan Penyakit Gigi dan Mulut

Yansyah

Sumijan

2021

JSisfotek

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“…Berdasarkan pengujian sistem yang dilakukan dengan 20 data uji dan membandingkan hasil yang didapat oleh istem dengan pendapat dokter diperoleh hasil dari sistem adalah 95% akurat. Maka Sistem Pakar berbasis Android dapat menjadi alternatif awal dalam melakukan identifikasi penyakit jamur kulit pada manusia [10].…”

Section: Sebuah Mesin Inferensi Menggunakan Backwardunclassified

Sistem Pakar Menggunakan Metode Backward Chaining dalam Mengidentifikasi Kandungan Senyawa Boraks, Formalin, Rhodamin B dan Metanil Yellow pada Makanan

Kholil

Nurcahyo

2021

JSisfotek

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This research is motivated by the increasing number of food producers using additives that are not permitted to be used or which are harmful to health. The addition of hazardous substances in food and beverages has a huge effect on health. The use of these dangerous substances can cause inflammation of the digestive tract, degeneration or wasting of the liver, odema / swelling of the brain, accumulation of fluid in the organs of the body. This analysis applies the Backward Chaining Method in the Expert System, namely by the system processing existing facts to lead to conclusions. Facts are obtained from physical conditions, also known as symptoms. Backward Chaining is goal-driven reasoning, which begins with making predictions of what will happen, then looking for evidence that supports (or refutes) the hypothesis. In the Expert System for identifying chemical compounds of borax, formalin, rhodamine b and methanyl yellow in food using the Backward Chaining Method, the results obtained from the expert's matching data with the results of which results matched 6 out of 6 data, or with a percentage of 100%. The resulting solution is that the sample must be tested for labor. It is hoped that this application can help the public in educating chemical compounds in food and identifying the initial stages of food before being reported to the Food and Drug Supervisory Agency for laboratory testing.

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“…Validitas sistem pakar dibandingkan dengan pengetahuan pakar adalah 94% dari 100 data uji. Penelitian lain tentang sistem pakar deteksi penyakit jamur pada manusia juga dikembangkan [12]. Penelitian ini menggunakan 20 data uji dengan hasil keakuratan 95%.…”

Section: Pendahuluanunclassified

Deteksi Penyakit Dan Hama Tanaman Pepaya Menggunakan Metode Forward Chaining dan Best First Search

Sari¹,

Maria²,

Santoso³

2020

JOINTECS

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Papaya is one of the fruits commodity that grow in the plateau and lowlands. It makes papaya vulnerable to pests and diseases that impedes optimal yields. In this study, an expert sistem was build that was able to store a knowledge base for the diagnosis of pests and diseases of papaya plants. A method of information retrieval is needed that the knowledge base becomes dynamic. Forward Chaining is a method of finding knowledge that starts with existing information and combines rules to produce a conclusion. The Best First Search technique is used for fact finding to obtain optimal results. Forward Chaining method that was build in expert sistems allow the sistem to perform the simple searching result on the database facts. The knowledge was obtained from experts. Web-based expert sistem has 6 pest data and 7 disease data, 41 pest and disease symptom data, and also 12 treatment techniques. Fifty data of papaya trees that had been sustained by disease were used in the test. The test results showed a sistem accuracy is 96% compared to experts.

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Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android

Cited by 10 publications

References 0 publications

Sistem Pakar Metode Forward Chaining untuk Mengukur Keparahan Penyakit Gigi dan Mulut

Sistem Pakar Metode Forward Chaining untuk Mengukur Keparahan Penyakit Gigi dan Mulut

Sistem Pakar Menggunakan Metode Backward Chaining dalam Mengidentifikasi Kandungan Senyawa Boraks, Formalin, Rhodamin B dan Metanil Yellow pada Makanan

Deteksi Penyakit Dan Hama Tanaman Pepaya Menggunakan Metode Forward Chaining dan Best First Search

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