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All Journal JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH DOKTRINA: JOURNAL OF LAW Jurnal Pendidikan dan Konseling Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) J-Com (Journal of Computer) Jurnal Bangun Abdimas Innovative: Journal Of Social Science Research
Ari Dermawan
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
IMPLEMENTATION OF K-MEANS CLUSTERING ANALYSIS TO DETERMINE BARRIERS TO ONLINE LEARNING CASE STUDY: SWASTA YAPENDAK TINJOWAN JUNIOR HIGH SCHOOL Dinah Adillah; Nuriadi Manurung; Ari Dermawan
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.2022.3.3.189

Abstract

The grouping of online learning barriers to students during the covid-19 pandemic will result in clusters of students with the same characteristics in each cluster. The purpose of this study is to assist schools in determining online learning barriers for students during the covid-19 pandemic, so that with this clustering students with high levels of online learning barriers will get additional face-to-face hours.face-to-face learning so as to create an effective learning process. The method used in this study was a data mining technique, which uses the k-means clustering algorithm. This study uses the k-means clustering algorithm because this algorithm is more effective and efficient in processing large amounts of data, so this algorithm has a high enough accuracy for object size and the k-means algorithm is not affected by the order of objects. Testing the data using Microsoft Excel as a manual test and the PHP programming language and MySQL database. The results of this study were in the form of 2 clusters, C1 (low cluster) as many as 4 students who are hampered during online learning, and C2 (high cluster) as many as 16 students who are not hampered during online learning. The conclusion of this study was using of the k-means clustering algorithm can facilitate the grouping of online learning barriers for students at Swasta Yapendak Tinjowan Junior High School.
APPLICATION OF EXPERT SYSTEM USING FORWARD CHAINING METHOD FOR WEB-BASED DIAGNOSIS OF CHILD DIARRHEA Nadia Elmi; Rolly; Ari Dermawan
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.2022.3.3.244

Abstract

Diarrhea is the cause of infant death due to diarrhea which leads to dehydration. Babies who are able to digest solid foods and are experiencing diarrhea should temporarily stay away from oily, high-fiber, sweet foods such as cakes and dairy products. This is because these types of foods can worsen their diarrhea symptoms. Currently, to distinguish the type of diarrhea suffered by children is still limited to conventional diagnosis with pediatricians. it is necessary to build a system on computer applications to help diagnose children's diarrheal diseases so that they can provide information on what types of diarrheal diseases are being experienced for fast and accurate treatment. In the health sector there is an artificial intelligence called an expert system, which is a computer system that uses knowledge, facts and reasoning techniques in solving problems that can usually only be solved by an expert in their field. This research uses the Forward Chaining method where the goal driven data will start searching at the initial node to the goal node until it gets results. The result of the implementation of the system is that 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 diarrheal disease the child is experiencing in order to get a solution with treatment.
Co-Authors Akmal Akmal Amalia Amalia Dinah Adillah Endra Saputra Helmiah, Fauriatun Jhonson Efendi Hutagalung Laila Purnama Nadia Elmi Nuriadi Manurung Rahmat Hidayah Rahmat Rahmat Rahmat Suhargon Rahmat Suhargon Riswan Munthe Rolly Selvia Rani Sudarmin Sudarmin Sudarmin Sudarmin SUMANTRI . Sumantri Sumantri Taufiq Hidayah Taufiq Hidayah Wiwin Handoko