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All Journal International Journal of Electrical and Computer Engineering Erudio: Journal of Educational Innovation Jurnal Transformatika Journal of Development Research Journal of Information Technology and Computer Science SMARTICS Journal Prosiding Seminar Nasional Teknoka Jurnal Tecnoscienza JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Perwira Journal of Science and Engineering (PJSE) Aplikasi Administrasi: Media Analisa Masalah Administrasi Smart Techno (Smart Technology, Informatic and Technopreneurship) Jurnal Inovasi dan Pengembangan Hasil Pengabdian Masyarakat Jurnal Informatika Polinema (JIP)
Rizdania, Rizdania
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Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : journal of information technology and computer science

 1 
Development of Telegram Bot for Flipped Learning Chemistry Class with UCD Approach Muniroh, Amirotul; Rizdania
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (924.609 KB) | DOI: 10.25126/jitecs.202163370

Abstract

The need for media that supports online learning is increasing along with the Covid-19 pandemic that is spreading in the world. The learning media is expected to be in the form of media that is easy to use and does not require additional costs incurred by students. One application that is widely used today is Telegram. The application provides a telegram bot facility that can assist teachers in delivering the material they are taught. By using the telegram bot, students can easily use applications on their mobile phones without installing additional applications. This study discusses the development of online learning methods using telegram bots as a medium for delivering material to students using the approach of UCD. This study used usability testing to evaluate the Telegram bot as the media for flipped learning. There are five indicators measured in the usability evaluation we used in this research. The result of the assesment is 83.56%.
A Quick Survey on the Application of Augmented Reality in Education Dermawi, Rizdania; Riono, Sapto Hadi; Hadiatulloh, Dimas Rega
Journal of Information Technology and Computer Science Vol. 9 No. 3: December 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.93551

Abstract

Current conditions, especially the Covid-19 pandemic, force us to conduct online education. However, its implementation must be considered carefully to avoid becoming boring. The use of exciting technologies such as augmented reality can be an option. This scientific paper is a short review of the last ten years of studying AR technology in various fields of education. The evaluation of these previous studies shows that AR is a technology with great potential to be applied in education. However, the survey also demonstrates the limits of AR, which could be tended to in future research.
Sugeno-Type Fuzzy Inference Optimization With Firefly and K-Means Clustering Algorithms For Rainfall Forecasting Burhan, M.Shochibul; Mahmudy, Wayan Firdaus; Dermawi, Rizdania
Journal of Information Technology and Computer Science Vol. 3 No. 1: June 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3521.752 KB) | DOI: 10.25126/jitecs.20183134

Abstract

Rainfall is very influential in our daily lives, ranging from agriculture, aviation, to flood-prone areas. The intensity of rainfall is used as an early detection for preventing harmful effects of rainfall. This research used Sugeno-Method Fuzzy Logic, in which the prediction is accomplished by mapping rules from the data obtained using the K-Means Clustering Algorithm as the classification to form the membership function and mapping rules and Firefly Alghorithm for optimization output. The test result from the 30 examined data found is 2.93 RMSE. This shows that the data support from K-Means Clustering and Firefly Algorithms of the fuzzy logic can predict precipitation accurately.
The Connectivity Between Leap Motion And Android Smartphone For Augmented Reality (AR)-Based Gamelan Permana, Frihandhika; Tolle, Herman; Utaminingrum, Fitri; Dermawi, Rizdania
Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (797.838 KB) | DOI: 10.25126/jitecs.20183263

Abstract

The smartphone development today makes the gadget not only used as a communication tool but also as an entertainment tool such as to play games and play music. The development of the smartphone also supports many technologies that can be run on the smartphone itself, such as Augmented Reality (AR), for example. There are some studies evaluated the AR application combined with Leap Motion, but those studies were using the SDK alpha of the Leap Motion Corp. that is now no longer accessible for the developers to use. This research is meant to overcome such a problem. The method proposed in this study is a technique to connect the Leap Motion with Android for Augmented Reality application. This paper also evaluates the technique used to connect the AR technology to Leap Motion so it can be a visual instrument simulation, which applied to the Gamelan traditional music instrument. The experiments resulted in the accuracy rate of the application of 96.43% for right-hand movement and 97.86% for the left-hand motion. The high accuracy result obtained in the research can be a promising result for the future research.
Co-Authors Afrah, Ashri Sabrina Alizunna, Defirra Ashri Shabrina Afrah Ayubi, Muhammad Nofa Burhan, M.Shochibul Endah Septa Sintiya Fitriyah, Rizqi Sofi Nur Frihandhika Permana Frihandhika Permana Hadiatulloh, Dimas Rega Henny May Indahsari Herman Tolle Ikawati, Deasy Sandhya Elya Izzati, Afifah Nurul Kusmiyati Muladi, Muhammad Nasikhul Muniroh, Amirotul Nasiruddin, Niswatun Khasanah Permana, Frihandhika Pramudhita, Agung Puji Utami Rakhmawati Putro, Tegar Wahyu W.W. Rani Darmayanti Rasyidah Nur Aisyah Riskitasari, Septyana Sani, Yasir Sapto Hadi Riono Sherina Izzaty Sherina Izzaty Sintya, Endah Septa Sumantri Syahnaryanti, Dinda Mareta Utaminingrum, Fitri Wayan Firdaus Mahmudy