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All Journal Riau Journal of Computer Science JURNAL MEDIA INFORMATIKA BUDIDARMA JIPN (Journal of Informatics Pelita Nusantara) JURNAL TEKNOLOGI DAN OPEN SOURCE JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Community Development Journal: Jurnal Pengabdian Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Teknisi J-Com (Journal of Computer) Jurnal Bangun Abdimas SATIN - Sains dan Teknologi Informasi
Jhonson Efendi Hutagalung
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
DIAGNOSIS OF HUMAN SKIN FUNGI USING FORDWARD CHANING METHOD BASED ON hafzihan ihwana Zihan; Jhonson Efendi Hutagalung jhons; Mardalius Dalius
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.233

Abstract

Expert systems are the process of adopting human knowledge to computers, so that computers can provide solutions like doctors can. The high cost and takes a long time to consult with a skin specialist at the hospital and skin diseases are classified as complaints that can be treated alone. So we need an expert system that makes it easier for experts to diagnose this fungal disease. This research uses qualitative research methods and is included in descriptive research. The method used in this study is the forward chaining method and the search method used is forward data tracing to find conclusions. Data collection techniques through interviews and literature study. This research uses PHP programming language with MySQL database. Based on the results of the comparison between literature studies and interviews, it was found that 4 skin diseases were infected due to fungi so that early symptoms of the disease were diagnosed along with their causes and solutions.
USING FORWARD CHAINING METHODS TO DIAGNOSE CHOLESTEROL DISEASE USING THE WEB Venny Octavia; Jhonson Efendi Hutagalung jhonson; Cecep Maulana Cecep
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.464

Abstract

Cholesterol disease can attack humans, both young and adult, in this case it is necessary to do a quick diagnosis to provide basic knowledge about cholesterol disease to sufferers. Advances in expert systems can overcome this problem, namely by designing a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help cholesterol patients to diagnose the disease. The expert system application in its decision making uses a forward chaining inference engine where the goal driven data will start a search on the initial node to the goal node until it gets results. The results of the implementation of the system, namely the system provides questions in the form of symptoms that must be answered by the patient based on the symptoms experienced by the patient and the results of the process the system will provide information on what type of cholesterol disease he is experiencing in order to get a solution with treatment and handling. System that works with a knowledge base search that is able to provide decisions by utilizing an expert knowledge base.
Co-Authors Abdul Karim Syahputra Ainun Mardiah Ainun Mardiah Aisar Novita Arfian Jumintar Sitorus Ari Dermawan Ari Dermawan Azhar Robbi Dayus Bachtiar Efendi Cecep Maulana Dahriansah - Dali Ansa, Sri Devi Dania Purnawan Dwi Kurnia Utami Endra Saputra Febri Dristyan hafzihan ihwana Zihan Harahap, Indra Ramadona Herman Saputra Hidayatullah Hidayatullah Hidayatullah Hidayatullah Hilda Julia Indah Wahyuni Bugis Iqbal Kamil Siregar Jeperson Hutahaean Khairani, Ica Kifti, Wan Mariatul Manurung, Nuriadi Mardalius Mardalius Mhd Ilyas Nasution, Rama Danil Fahri Rohminatin Rohminatin Rohminatin, Rohminatin Rolly Yesputra Selvia Rani Shella Dwi Pratiwi Sri Devi Dali Ansa Sri Rezki Maulina Azmi Suparmadi Suparmadi S Syahdad Eka Ramadhan SYAHPUTRA, HERU Tengku Riza Zarzani N Venny Octavia