The Comparison between Forward and Backward Chaining

2019

InfoTekJar

Abcessus is a collection of neutrophils that do not function anymore and have accumulated in tissue cavities infected with bacteria or parasites. This disease will cause swelling in the part of the skin tissue that contains pus and blood, this is due to the spread of skin tissue with staphylococcus aureus bacteria. The spread of infections carried out by bacteria will result in the release of toxins that cause inflammation and increase blood flow in the infected place. The high circulation of the disease among the community requires a concept of knowledge and information which can later be disseminated to the community so that it can reduce the risk of spreading this disease and can be done as soon as possible early treatment of people suffering from Abcessus. The concept of knowledge that will be formed is by transferring all forms of information and knowledge about Abcessus into the diagnosing application by applying the Expert System science that uses K-Nearest Neighbor analysis, later the method can produce the probability value or probability of diagnosing Abcessus for the symptoms that are felt clinically, of course, the knowledge and probability value of Abcessus will first be determined by an expert or expert in identifying the Abcessus. With the construction of diagnostic applications this can be used as a source to be used by the wider community in dealing with problems regarding diagnosis and knowledge of Abcessus, besides that it can also be used in the analysis of diagnostic conclusions by health or medical officers

Section: Kecerdasan Buatanunclassified

Penerapan K-Nearest Neighbor dalam Pendeteksian Abcessus

2019

InfoTekJar

“…Artificial Intelegence atau AI merupakan bagian dari keilmuan komputer yang mampu menghasilkan dan menemukan solusi pada permasalahan yang komplek seperti yang sering dilakukan oleh manusia [8]. Kecerdasan Buatan berfungsi untuk membentuk sebuah mesin atau aplikasi menjadi cerdas [9], selain itu juga pada pendapat lainnya [10] AI berfungsi sebagai alat yang digunakan untuk pengotomatisasian tingkah laku cerdas yang diperoleh dari pengetahuan ahli kemudian diterapkan pada mesin.…”

Section: A Kecerdasan Buatanunclassified

Sistem Pakar Pendeteksian Psoriasis Postular Menggunakan Kombinasi Teorema Bayes Dengan Euclidean Probability

2019

Com, Engine, Sys, Sci

Abstrak-Penelitian ini akan membahas dan menjelaskan tentang implementasi sistem berbasis komputer yang mampu memberikan informasi dan menghasilkan kesimpulan diagnostik tentang Psoriasis Postular yang diperoleh melalui transfer pengetahuan para ahli di bidang kesehatan ke dalam sistem aplikasi yang dapat digunakan untuk mendeteksi Psoriasis Postular cepat sehingga nantinya dapat dilakukan perawatan dini dan dapat digunakan sebagai layanan konsultasi yang berfungsi sebagai rujukan diagnosis oleh petugas kesehatan dalam menyimpulkan diagnosa akhir dan dapat memudahkan masyarakat dalam melakukan konsultasi, mengingat minimnya tenaga kesehatan yang tersebar di daerah dan pengetahuan Psoriasis Postular yang terbatas. Sistem ini dirancang dengan menerapkan konsep Bayes Theorem yang digunakan untuk menghasilkan nilai probabilitas atau persentase penyakit yang diderita oleh pasien berdasarkan gejala yang dialami oleh pasien tersebut. Tetapi kebutuhan untuk meningkatkan kepastian dan keakuratan diagnosis penyakit untuk pasien memerlukan penerapan metode Probabilitas Euclidean yang akan dikombinasikan dengan Teorema Bayes, sehingga nantinya diharapkan akan menghasilkan nilai diagnostik yang lebih baik dan lebih akurat dalam mendeteksi Psoriasis. Postular. Abstract-This paper will discuss and explain about the implementation of a computerized based system that is able to provide information and produce diagnostic conclusions about PostularPsoriasis obtained through the transfer of knowledge of experts in the field of health into application systems which can be used to detect Psoriasis Postular quickly so that later it may be done early treatment and can be used as a consultation service that serves as a reference for diagnosis by health workers in concluding final diagnoses and can facilitate the public in conducting consultations, given the lack of health experts scattered in the regions and limited knowledge of Postular Psoriasis. This system is designed by applying the Bayes Theorem concept which is used to produce the probability value or percentage of diseases suffered by patients based on the symptoms experienced by these patients. But the need to improve the certainty and accuracy of disease diagnoses for patients requires the application of the Euclidean Probability method which will be combined with the Bayes Theorem, so that later it is expected to produce better and more accurate diagnostic values in the detection of Psoriasis Postular.

“…Pada penelitian sebelumnya [6] disebutkan bahwa Kecerdasan Buatan memiliki fungsi dalam membentuk sebuah aplikasi cerdas untuk dapat dijadikan sebagai solusi atau pemecahan permasalahan yang terjadi dengan terlebih dahulu menanamkan pengetahuan kedalam sistem tersebut, selain itu pada [7] mengemukakan bahwa AI memiliki prinsip dan konsep yang mampu mentransformasikan pengetahuan yang akan diterapkan ke dalam mesin yang dirancang berdasarkan algoritma dimasukkan. AI merupakan sebuah konsep filosofis yang mampu mengarahkan dan mengatur berbagai hal yang berkaitan dengan aktifitas hidup manusia [8], disamping itu terdapat pendapat pada [9] AI adalah bagian dari perkembangan cara berfikir manusia untuk dapat dijadikan sebagai pengambil keputusan yang terbaik.…”

Section: Kecerdasan Buatanunclassified

Aplikasi Diagnosa Granulomatous Dermatis Menggunakan Certainty Factor

2019

mib

Granulomatous dermatitis is a type of inflammatory disease in the inner layer of the skin that causes damage to the nerves, skin layers and motor members of the body. This disease originated in the attack of an aerobic type of mycobacterium leprae which can spread and transmit infection by contact and air, besides this disease is estimated to enter Indonesia in the early V century. At present the diagnosis and treatment of Granulomatous Dermatis is experiencing difficulties, this based on the limited information and lack of knowledge of the community about Granulomatous Dermatis so that later it will result in late or unpreparedness of treatment in patients with Granulomatous Dermatis cases. On the basis of these events, it is very necessary to build a system by acquiring scientific concepts of artificial intelligence that are capable of producing an Expert System which can later be used to diagnose Granulomatous Dermatis by applying the Certainty Factor analysis. With the application of this diagnosis later can help the community and medical experts in diagnosing Granulomatous Dermatis as a reference tool in concluding the final diagnosis.