Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal ICT : Information Communication & Technology Jurnal Teknologi Informasi dan Multimedia
Tito Pinandita
Program Studi Teknik Informatika, Universitas Muhammadiyah Purwokerto
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Identifikasi Epilepsi Dengan Segmentasi 5 S Pada Klasifikasi Extreme Learning Machine Siswandari Noertjahjani; Yanuarita Tursinawati; Tito Pinandita
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Epilepsi adalah penyakit tidak menular yang ditandai dengan kejang akibat pelepasan listrik episodik tidak wajar atau banyak dari sel saraf dengan bermacam etiologinya. EEG adalah alat untuk merekam gelombang otak epilepsi. Perekaman EEG yang terlalu lama akan membutuhkan biaya tinggi dan membosankan. Pembacaan data EEG yang banyak juga akan melelahkan dan bisa terjadi kekeliruan. Dengan pengolahan sinyal digital yang baik maka penelitian ini menggunakan metode dengan data yang disegmentasi sinyal 5 s di daerah Temporal (T3) kemudian setelah disegmentasi dihitung ciri mean, varian, standar deviasi, kurtosis, dan skewness. Data yang digunakan pada penelitian ini adalah 75 epilepsi dan 75 normal. Untuk mencapai akurasi yang tinggi maka klasifikasi yang digunakan Extreme Learning Machine (ELM) pada sinyal di filter dengan konvolusi least square linier phase FIR. Hasil akurasi yang diperoleh 99,8 % dengan ciri standar deviasi dengan sensivity 93,3 % dan spesitivity 96,3% kemudian ciri varian dengan akurasi 82,2% , sensitivity 80,6% dan spesitivity 81,4%.
Implementasi Augmented Reality Sebagai Media Pembelajaran Untuk Pengenalan Buah-Buahan Rahman Nur Syam; Sigit Sugiyanto; Tito Pinandita; Feri Wibowo
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.805

Abstract

Innovative and interactive teaching strategies have emerged as a result of the development of communication and information technology. One of the most promising and rapidly expanding educational technologies is augmented reality. By displaying virtual things in three dimensions in a real-world setting in real time, Augmented Reality can make studying more engaging and joyful for students Augmented reality can display virtual objects in three dimensions in real time, creating a more engaging and enjoyable learning experience for students. This research aims to develop and implement Augmented Reality-based fruit recognition learning media as an alternative to conventional, static and unengaging media for elementary school students, helping them visualize the concepts being learned. The Multimedia Development Life Cycle (MDLC), which has six stages concept, design, gathering materials, assembly, testing, and distribution the development methodology. This application is designed to display various types of fruit as 3D objects that can be scanned through markers using the camera on an android device. Each fruit is equipped with its own name and information to improve student knowledge. Testing is carried out through black box testing to evaluate system functions, and user feasibility testing using a Likert scale questionnaire given to 15 grade students. According to the results of black-box testing, there were no system or functional issues and the application operated as planned. It received an 84.86% feasibility score, placing it in the "very feasible" range. Thus, it can be said that this AR-based fruit recognition app works well to boost students' curiosity, involvement, and comprehension of the material.
Co-Authors Feri Wibowo Rahman Nur Syam Sigit Sugiyanto Siswandari Noertjahjani Yanuarita Tursinawati