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All Journal Query : Jurnal Sistem Informasi Infotech: Journal of Technology Information
Anton Yudhana
Program Studi Teknik Elektro, Universitas Ahmad Dahlan, Yogyakarta
Computer Science & IT Control & Systems Engineering

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Desain Antar Muka Sistem e-Learning Berbasis Web Rusydi Umar; Anton Yudhana; Ockhy Jey Fhiter Wassalam
Query: Journal of Information Systems VOLUME: 02, NUMBER: 01, APRIL 2018
Publisher : Program Studi Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1197.656 KB)

Abstract

Computer-based learning is now widely used in various schools both high school and college. The use of such computers can use of computers as aids in teaching and learning process. Along with advances in science and technology the teaching and learning process have demanded not only indoors in the form of face-to-face, but people can learn anytime and anywhere. One of the models that  used for this purpose is e-learning based learning model. But to use the model must be available media. With e-learning system to study online courses. Through this system, students can more easily access course syllables, course modules, assignments and many other information reinforced by lecturers in the e-learning system so students can access them easily, when and wherever. All announcements of syllabus, module, task and announcement in lecturer by lecturer of e-learning system. With these systems, will form learning between faculty and students in addition to face to face in the lecture hall. With such interaction, it is sure to enrich the learning system and improve the quality of education. Which have been  in demand and delivery according to the learning needs. Results and implementation show the system works well.Keywords: E-Learning system, web-based, learning-teaching system. 
KLASIFIKASI JENIS KULIT WAJAH MENGGUNAKAN ALGORITMA RANDOM FOREST Irwansyah Irwansyah; Anton Yudhana; Abdul Fadlil
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.423

Abstract

Skin can be considered the largest organ in the human body. Healthy skin is not only good for the body, but alsoenhances the appearance. Good skin care is essential at any age. In the first few decades of life, the skin has aconsiderable supply of elastin and collagen, but it will gradually decrease. In addition, daily lifestyle can also directlyaffect the appearance of human skin. The purpose of the research is to develop a model that classifies facial skin typesbased on physiological data using random forest algorithm and measure the results of accuracy, precision, and recall.This research uses Rapidminer tools and four facial skin types namely dry, combination, normal, and oily. The resultsof random forest research obtained accuracy results of 93.25%. dry precision 98.02%, combination precision 92.94%,normal precision 93.46%, and oily precision 88.79%. While dry recall 99%, combination recall 79%, normal recall100%, and oily recall 95%. The findings of this research can help create a skincare recommendation system that ismore suited to the needs of each individual.
Co-Authors Abdul Fadlil Irwansyah Irwansyah Ockhy Jey Fhiter Wassalam Rusydi Umar