cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Risanuri Hidayat
Contact Email
ijitee.ft@ugm.ac.id
Phone
+62274 552305
Journal Mail Official
ijitee.ft@ugm.ac.id
Editorial Address
https://jurnal.ugm.ac.id/ijitee/about/contact
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
IJITEE (International Journal of Information Technology and Electrical Engineering)
Published by Universitas Gadjah Mada
ISSN : -     EISSN : 25500554     DOI : https://doi.org/10.22146/ijitee.48545
Core Subject : Engineering,
Electrical & Electronics Engineering
IJITEE (International Journal of Information Technology and Electrical Engineering), with registered number ISSN 2550-0554 (Online), is a peer-reviewed journal published four times a year (March, June, September, December) by Department of Electrical engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada. IJITEE (International Journal of Information Technology and Electrical Engineering) invites manuscripts in the various topics include, but not limited to, Information Technology, Power Systems, Digital Signal Processing, Communication Systems
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 7 Documents
 1 
Search results for , issue "Vol 5, No 4 (2021): December 2021" : 7 Documents clear
Product Recommendation Based on Eye Tracking Data Using Fixation Duration Juni Nurma Sari; Lukito Edi Nugroho; Paulus Insap Santosa; Ridi Ferdiana
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
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.58693

Abstract

E-commerce can be used to increase companies or sellers’ profits. For consumers, e-commerce can help them shop faster. The weakness of e-commerce is that there is too much product information presented in the catalog which in turn makes consumers confused. The solution is by providing product recommendations. As the development of sensor technology, eye tracker can capture user attention when shopping. The user attention was used as data of consumer interest in the product in the form of fixation duration following the Bojko taxonomy. The fixation duration data was processed into product purchase prediction data to know consumers’ desire to buy the products by using Chandon method. Both data could be used as variables to make product recommendations based on eye tracking data. The implementation of the product recommendations based on eye tracking data was an eye tracking experiment at selvahouse.com which sells hijab and women modest wear. The result was a list of products that have similarities to other products. The product recommendation method used was item-to-item collaborative filtering. The novelty of this research is the use of eye tracking data, namely the fixation duration and product purchase prediction data as variables for product recommendations. Product recommendation that produced by eye tracking data can be solution of product recommendation’s problems, namely sparsity and cold start.
Eye Blink Classification for Assisting Disability to Communicate Using Bagging and Boosting Luthfi Ardi; Noor Akhmad Setiawan; Sunu Wibirama
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
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.63515

Abstract

Disability is a physical or mental impairment. People with disability have more barriers to do certain activity than those without disability. Moreover, several conditions make them having difficulty to communicate with other people. Currently, researchers have helped people with disabilities by developing brain-computer interface (BCI) technology, which uses artifact on electroencephalograph (EEG) as a communication tool using blinks. Research on eye blinks has only focused on the threshold and peak amplitude, while the difference in how many blinks can be detected using peak amplitude has not been the focus yet. This study used primary data taken using a Muse headband on 15 subjects. This data was used as a dataset classified using bagging (random forest) and boosting (XGBoost) methods with python; 80% of the data was allocated for learning and 20% was for testing. The classified data was divided into ten times of testing, which were then averaged. The number of eye blinks’ classification results showed that the accuracy value using random forest was 77.55%, and the accuracy result with the XGBoost method was 90.39%. The result suggests that the experimental model is successful and can be used as a reference for making applications that help people to communicate by differentiating the number of eye blinks. This research focused on developing the number of eye blinks. However, in this study, only three blinking were used so that further research could increase these number.
Piezoelectric Energy Harvester for IoT Sensor Devices Noor Pratama Apriyanto; Eka Firmansyah; Lesnanto Multa Putranto
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
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.67120

Abstract

Limited battery power is a major challenge for wireless sensor network (WSN) in internet of things (IoT) applications, especially in hard-to-reach places that require periodic battery replacement. The energy harvesting application is intended as an alternative to maintain network lifetime by utilizing environmental energy. The proposed method utilized piezoelectricity to convert vibration or pressure energy into electrical energy through a modular piezoelectric energy harvesting design used to supply energy to sensor nodes in WSN. The module design consisted of several piezoelectric elements, of which each had a different character in generating energy. A bridge diode was connected to each element to reduce the feedback effect of other elements when pressure was exerted. The energy produced by the piezoelectric is an impulse so that the capacitor was used to quickly store the energy. The proposed module produced 7.436 μJ for each step and 297.4 μJ of total energy with pressure of a 45 kg load 40 times with specific experiments installed under each step. The energy could supply WSN nodes in IoT application with a simple energy harvesting system. This paper presents a procedure for measuring the energy harvested from a commonly available piezoelectric buzzer. The specific configurations of the piezoelectric and the experiment setups will be explained. Therefore, the output energy characteristics will be understood. In the end, the potentially harvested energy can be estimated. Therefore, the configuration of IoT WSN could be planned.
Factors Affecting Collaboration Portal Effectiveness of the Audit Board of Indonesia Afrialdi Syahputra; Paulus Insap Santosa; Rudy Hartanto
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
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.70144

Abstract

The Audit Board of the Republic of Indonesia is known as Badan Pemeriksa Keuangan (BPK). In carrying out its duties and functions, it empowers and relies on information technology (IT) infrastructure that covers all aspects, including planning, procurement, service provision, information asset security, service continuity, and evaluation. BPK implements a collaboration portal to meet service needs and teamwork during the audit process, ad-hoc committees, and leader instructions to follow BPK’s strategic plan. BPK needs to assess the effect of the collaboration portal in supporting employee performance and improving IT services. As a result, this study aims to investigate the factors that influence the effectiveness of the BPK collaboration portal. This study used Delone and McLean model of information system success by looking at the relationship of system quality, information quality, service quality, facilitating conditions, and collaboration quality to user satisfaction and individual job performance. The research method used a quantitative approach with partial least squares-structural equation modeling (PLS-SEM). The sample data was collected from 60 respondents at BPK. The data obtained from the respondents were processed using the SmartPLS application. The study results show that information quality, facilitating conditions, and collaboration quality positively and significantly affect user satisfaction. There is a positive and significant influence of user satisfaction on individual job performance. In addition, system quality and service quality do not significantly influence user satisfaction with collaboration portal services.
Optimal Capacity and Location Wind Turbine to Minimize Power Losses Using NSGA-II Dieta Wahyu Asry Ningtias; F. Danang Wijaya; Lesnanto Putra Multanto
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
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.70161

Abstract

Voltage deviations and power losses in the distribution network can be handled in various ways, such as adding diesel power plants and wind turbines. Adaut Village, Tanimbar Islands Regency, Maluku Province has installed a diesel power plant with a capacity of 1,200 kW, while the average hourly electricity load is 374.9 kW. Adaut Village has high wind potential that can be used for distributed generations namely wind turbine (WT). WT can be used to improve power quality in terms of power losses and voltage deviations. In adding WT, the capacity and location must be determined to get good power quality in terms of power loss and voltage deviation. The research applied an optimization technique for determining the capacity and location of WT using non-dominated sorting genetic algorithm II (NSGAII) with an objective function of power losses and voltage deviation. In addition, the economic aspects of the power plant were calculated using the levelized cost of energy (LCOE). The research used scenarios based on the number of WT installed. The best results were obtained in scenario IV or 4 WT with 1.38 kW on Bus 2, 422.43 kW on Bus 15, 834.33 kW on Bus 30, and 380.81 kW on Bus 31 which could reduce power losses by 80% with an LCOE value of Rp7,113.15/kWh. The addition of the WT could also increase the voltage profile to close to 1 pu, which means it can minimize the voltage deviation in the distribution network.
Determining the Citizen Loyalty Factor of COVID-19 Website Using the Trust Model Azty Acbarrifha Nour; Lukito Edi Nugroho; Paulus Insap Santosa
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
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.69894

Abstract

One of the information technology (IT) utilization by the government is the establishment of an official website for public access, designed to disseminate information about the COVID-19. Gaining public trust in the information dissemination is getting harder due to the amount of information, while the government is striving to provide reliable information. The service quality provided on the official website will affect the public’s trust and desire to use these services. Citizen loyalty is known when people intensively use the government electronic services because they believe in the government and its e-services based on perceived satisfaction and service quality. This research studied the effect of service quality, trust, and user satisfaction on user loyalty when using e-services by the Special Region of Yogyakarta (DIY) government. The study used a trust model developed by Alkraiji and Ameen and applied it to the official COVID-19 website. Data were collected from 100 respondents in the DIY who were in the productive age range. The experiment was carried out using explanatory and inferential techniques with multiple linear regression methods. The results of the study indicate that all model hypotheses are accepted. The relationship between antecedents and citizen loyalty was more influenced by trust in government and e-government. This finding explains why Yogyakarta citizen trust the government and its electronic services and will be loyal to use these services during the COVID-19 pandemic, as well as other facilities in the future. 
Performance of MPSO-MPPT on PV-Based DC Microgrid in Partial Shading Conditions Haneef Nouval Alannibras Humaidi; Mokhammad Isnaeni Bambang Setyonegoro; Sarjiya Sarjiya
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 4 (2021): December 2021
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.70449

Abstract

Microgrid is a controllable decentralized group of energy resources and loads with the ability to operate both in grid-connected or island modes. Photovoltaic (PV) is one of the sources that are commonly used in microgrid. PV has a good ability to convert solar irradiation into electrical energy, especially under ideal condition, namely uniform irradiation or non-shading condition. However, PV often has some problems when facing partial shading condition. In this condition, PV does not produce optimal power because it stucks at the local maximum power point (MPP), thus it unables to track the global MPP. For this reason, it is necessary to implement a smart maximum power point tracker (MPPT) that can solve this problem. Furthermore, MPPT will be implemented in pulse width modulation (PWM) to control the buck converter. This study is focused on designing a laboratory scaled microgrid system with PV sources and controlled by modified particle swarm optimization (MPSO)-based MPPT. The 360 Wp PV array used consisted of two strings of three series modules Solarex MSX-60. The performance of the proposed method was compared with perturb and observe (P&O)-based MPPT, which was the commonly used method on MPPT. Furthermore, it was found that P&O and MPSO performed relatively similar accuracy (with difference of 0.04%) in non-shading condition. However, in partial shading condition, MPSO could perform better by producing greater output power so that it delivers better accuracy (98.74% to 99.11%) compared to P&O (57.95% to 71.87%). However, MPSO required a slightly longer time to converge because it had more complicated method and more computational load.

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol 5, No 4 (2021): December 2021 Vol 5, No 3 (2021): September 2021 Vol 5, No 2 (2021): June 2021 Vol 5, No 1 (2021): March 2021 Vol 4, No 3 (2020): September 2020 (in progress) Vol 4, No 2 (2020): June 2020 Vol 4, No 1 (2020): March 2020 Vol 3, No 4 (2019): Desember 2019 Vol 3, No 3 (2019): September 2019 Vol 3, No 2 (2019): June 2019 Vol 3, No 1 (2019): March 2019 Vol 2, No 4 (2018): December 2018 Vol 2, No 3 (2018): September 2018 Vol 2, No 2 (2018): June 2018 Vol 2, No 1 (2018): March 2018 Vol 1, No 4 (2017): December 2017 Vol 1, No 3 (2017): September 2017 Vol 1, No 2 (2017): June 2017 Vol 1, No 1 (2017): March 2017 More Issue