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All Journal IJITEE (International Journal of Information Technology and Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Persada, Anugerah Galang
Universitas Gadjah Mada
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Analisis Pengaruh Kompresi Citra Fundus terhadap Kinerja Sistem Automated Microanerysm Detections Anugerah Galang Persada; Ahmad Nasikun; Igi Ardiyanto; Hanung Adi Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 1: Februari 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1011.955 KB)

Abstract

Diabetes is one of the most serious diseases that commonly suffered by people around the world, including Indonesia. Early symptoms of diabetes could be observed from various indicators, one of which is through the retina. Retina conditions is affected by diabetics and when remain unproperly threated could lead to blindness. This retinal disorders due to diabetes is normally called Diabetic Retinopathy (DR). One method that able to distinguish and detect DR is microaneurysm detection. This method requires good quality of retinal images. However, in certain areas such as rural areas, this requirement may difficult to meet due to lack of adequate infrastructure. One solution that may overcome this problem is to compress the images. In this paper, image compression algorithms were applied to the retinal image, and then used to detect microaneuryms through Deep Learning-based systems. The result shows that the most stable and appropriate algorithm is PNG, which is able to correctly classify around 83% in accuracy with 5,5% variance.
Virtual Reality-based Platformer Games Development for Elevating Architectural Heritage Awareness Ahmad Nasikun; Bagas Y. Wijonarko; Raja Bagus Arief Rahman; Anugerah Galang Persada; Sunu Wibirama
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 1, No 3 (2017): September 2017
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.169 KB) | DOI: 10.22146/ijitee.33592

Abstract

As a country with abundant traditional culture, Indonesia is facing serious challenge in conserving them. There is a need to promote the traditional culture to a wider area of people, particularly to the younger generation. Virtual world offers a new way of promoting a nation’s culture via Virtual Reality (VR). This research aims to develop a VR-based platformer mobile game to promote cultural awareness in a new and creative way for younger generation. In the game, a player can observe one famous architectural heritage in Yogyakarta—Mesjid Gedhe Kauman—in fun way of game. A survey is conducted to measure its success in reaching the predetermined goals and to measure its user experience (UX). The survey confirm that the VR-based platformer game helps them in learning cultural value of the architecture (62.5/100) and it is relatively easy to navigate (72.5/100). Moreover, it has a good user experience (UX) score—all are above 0.8, meaning that its users are generally comfortable in playing the game.
Adaptive Traffic Light Control Based on Actual Condition Using Google Map API Adi Sabwa Isti Besari Arkanuddin; Selo Sulistyo; Anugerah Galang Persada
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 2 (2019): June 2019
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1133.992 KB) | DOI: 10.22146/ijitee.49964

Abstract

Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study.
A Microstrip Antenna Design Using an Heuristic Algorithm I Made Adhi Wiryawan; Maria Veronica Astrid Wahyuningtyas; Anugerah Galang Persada; Dyonisius Dony Ariananda
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 1 (2020): March 2020
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.56343

Abstract

Microstrip antennas have several advantages. Some of them are that they have a compact shape and small dimensions. Moreover, they are also easy to be fabricated and easily connected as well as integrated with other electronic devices. Currently, designing antennas conventionally is limited by time, energy, and experience as well as expertise. As an alternative, a way to design antennas with revolutionary methods is developed using algorithms and computing. Algorithm design techniques can overcome limitations and automatically find practical solutions that usually take a long time to discover. The particle swarm optimization algorithm and a genetic algorithm can find solutions from microstrip antennas. Objective functions play an essential role in heuristic algorithms. With a proper objective function, simulation results are obtained on the particle swarm optimization algorithm with a return loss value of -47.837, VSWR of 1.0083, and impedance of 46.805 Ω. In contrast, the genetic algorithm obtains return loss of -16.157 dB, impedance of 50.233 Ω, and VSWR of 1.3687.
Co-Authors Adi Sabwa Isti Besari Arkanuddin Ahmad Nasikun Bagas Y. Wijonarko Hanung Adi Nugroho I Made Adhi Wiryawan Igi Ardiyanto Maria Veronica Astrid Wahyuningtyas Nasikun, Ahmad Raja Bagus Arief Rahman Selo Sulistyo, Selo Sunu Wibirama