Expert System To Detect Human’s Skin Diseases Using Forward Chaining Method Based On Web Mobile

research
  • 16 May
  • 2020

Expert System To Detect Human’s Skin Diseases Using Forward Chaining Method Based On Web Mobile

Abstract. Skin is a sense of touch in humans’ body which one of its functions is to feel the touch. Another function of the skin is to release the residual substances such as sweat. This part of the human body is very sensitive, easy to get hurt, and feels a sense of sensitivity. Human skin consists of epidermis and dermis. Skin diseases can be caused by a decrease in the immune system, allergies, viruses, or other causes. Skin disease is generally caused by a less guarded hygiene, bacteria, viral, allergic reactions, and low body resistance. If the cause of skin disease is only due to a lack of maintaining cleanliness, it can be prevented by changing lifestyles to be cleaner and healthier. Especially in Indonesia which is a tropical country, where the humidity is very high and can increase the development of bacteria on the skin. In another situation, not all people understand skin diseases for treatment or prevention. By the reason, The Forward Chaining Method is made to provide information about diagnoses of several skin diseases and produces conclusions. The existence of this expert system application makes it easy for people to get any information about skin diseases 

Unduhan

  • prosiding pph.pdf

    prosiding pph

    •   diunduh 224x | Ukuran 461 KB

 

REFERENSI

 Pardiansyah, R., Association Between Personal Protective Equipment With the Irritant Contact Dermatitis in Scavengers Faculty of Medicine, (Lampung University 2015). 2. Kementerian Kesehatan Indonesia, 2012. Profil Kesehatan Indonesia Tahun 2009. Jakarta: Kementerian Kesehatan RI 3. Shikhar Kr. Sarma, Kh. Robindro Singh & Abhijeet Singh, An Expert System for diagnosis of diseases in Rice Plant International Journal of Artificial Intelligence, Volume(1): Issue(1) 26. (2010) 4. Baur Gregory R. & Pigford D.V. 1990. Expert System for Business: Concept and Implementations, Boyd &Fraser Publishing Company, Boston-USA (1990). 5. Sasmito WG, Bayu Surarso, Aris Sugiharo. Application Expert System of Forward Chaining and The Rule Based Reasoning For Simulation Diagnose Pest and Disease Red Onion and Chili Plant. ICISBC. (2011) 6. Fallahi Amir, Shahram Jafari. An Expert System for Detection of Breast Cancer using data Processing and Bayesian Network. International Journal of Advanced Science and Technology. Vol 34 September. (2011) 7. Al Rekhawi, Abdullah A Ayyad, Abu Naser. Rickets Expert System diagnoses and treatment. International Journal of Engineering and Information Systems. Vol 1 issue 4. (2017) 8. Amarathunga, EPWC Ellawala, GN Abeysekara, CRJ Amalraj. Expert System for Diagnosis of Skin Diseases. International Journal of Scientific & Technology Research. Vol 4 issue 01. January (2015). 

6

MATEC Web of Conferences 218, 02015 (2018) https://doi.org/10.1051/matecconf/201821802015 ICIEE 2018 

9. Yusof M Munirah, Ruhaya A Aziz, Chew S Fei. The Development of Online Children Skin Disease Diagnosis System. International Journal of Information and Education Technology. Vol 3 no 2. April (2013) 10. Alfatah Muis Abdul, Riza Arifudin, Much Aziz Muslim. Implementation of Decision Tree and Dempster Shafer on Expert System for Lung Disease Diagnosis. Scientific Journal of Informatics. Vol 5 no 1. May (2018) 11. Zuhra Tul Fatima, Adnan Ahmed Arain, Mohsin Ali Tunio. An Implementation of Expert System for Orthopedic Patient Diagnosis. Quaid E Awam University Research Journal of Engineering Science&Technology. Vol 15 no 1. Jan (2016). 12. Hayadi Herawan B, Kasman Rukun, Rizky Ema Wulansari, etc. Expert System of Quail Disease Diagnosis Using Forward Chaining Method. Indonesian Journal of Electrical Engineering and Computer Science. Vol 5 no 1. January (2017). 13. Dr Asghar Muhammad Zubair, Dera Ismail Khan, Muhammad Junaid Asghar. Expert System for Online Diagnosis of Red-Eye Disease. International Journal of Computer Science&Emerging Technologies. Vol 1 issue 2. August  (2010). 14. Pramesti Ari Atikah, Riza Arifudin, Endang Sugiharti. Expert System for Determination of Type Lenses Glasses Using Forward Chaining Method. Scientific Journal of Informatics. Vol 3 no 2. (2016) 15. Folorunso I O, Abikoye OC, Jimoh RG, Raji KS. A-Rule Based Expert System for Mineral Identification. Journal of Emerging Trends in Computing and Information Sciences. Vol 3 no 2. February (2012) 16. Saini Priyanka, Sweta Rai, Ajit Kumar Jain. Decision Tree Algorithm Implementation Using Educational Data. International Journal of Computer-Aided Technologies. Vol 1 no 1. April (2014). 

7

MATEC Web of Conferences 218, 02015 (2018) https://doi.org/10.1051/matecconf/201821802015 ICIEE 2018