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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUMATIC: Jurnal Pendidikan Informatika Jurnal Pengabdian Masyarakat Multidisiplin Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Jurnal Algoritma Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal Of Computer Science And Technology Journal Of Indonesian Social Society Interaksi : Jurnal Pengabdian Kepada Masyarakat
Mardalius Mardalius
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.
IMPLEMENTATION OF THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD IN THE SELECTION OF THE BEST EMPLOYEESAT PT. SAWITA INTER PERKASA Yeremia Margaretta Aritonang; Zulfi Azhar; Mardalius Mardalius
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.251

Abstract

PT.SawitaInter Perkasa is a private companyengaged in oilpalmand operating in 2007. The company has obstacles in selecting the best employees in the process ofentering data written and the result soft hehead of section meeting. The purposeo fthis study wasto assist the admin in selecting the best employees using the Simple Additive Weighting Method. The research method used in this study is a qualitative research method, namely by finding information about the company and the problems that exist in the company and collecting data after that enter into research using employee data processing. The result of this research is a program that providesan alternative way of processing and inputting the best employee selection data. This study concluded that the application of the simpl eadditive weighting method can help carry out the process of selecting the best employees effectively and also helps the company to accelerate the processof selecting the best employee sat PT. Sawita Inter Perkasa.
Co-Authors Afdhal Syafnur afrisawati, Afrisawati Agus, Raja Tama Andri Apridonal , Yori Cecep Maulana Dahriansah - Devi Ayu Indah Sari Dewi Maharani Dinda Tri Puspita Sari Endra Saputra Eska, Juna Fauziah, Rizky Febri Dristyan hafzihan ihwana Zihan Hambali Hambali Helmiah, Fauriatun Ibman Andika Jhonson Efendi Hutagalung Mardalius Mohd Siddik Mohd. Siddik Mufrida Meri. Z Naiborhu, Rinda Anisa Nasution, Akmal Nofriadi Nofriadi Nofriadi Nofriadi Nur Balqis Okmaya Okmaya Purnama Mega Putri Putri Nabillah Yusri Sirait Rahmadani, Nadhilla Raja Tama Andri Agus Rati E.P. Lubis Rika Trisanti Rizaldi, Rizaldi Romy Aulia Suci Andriyani Suparmadi S Tika Christy Yeremia Margaretta Aritonang Yori Apridonal M Yustika Margolang Zulfi Azhar