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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 5 Documents
 1 
Search results for , issue "Vol 4, No 2 (2020): June 2020" : 5 Documents clear
Design of Web-Based Cashier and Spare Part Warehouse Application Display (Case Study at Surya Motor Shop) Muhammad Esa Permana Putra; Teguh Bharata Adji; Adhistya Erna Permanasari
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 2 (2020): June 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.53512

Abstract

A cashier and spare parts warehouse application is an information system facilitating financial reporting and items inventory systems. This has become a necessity in almost all fields of large and small-scale businesses in every country. The information system that belongs to Surya Motor Shop does not have a display that can facilitate users in operating the company's financial and transaction systems in accordance with company needs. This information system uses Bootstrap with HTML, CSS, and Javascript programming languages. In this paper, an interactive display was developed, so as to be able to accommodate web users' responses, by developing a prototype using Bootstrap at the Surya Motor Shop. This was carried out to digitize the transaction system, making it easier to report the items inventory and financial reporting of the company. The prototype development was developed using the The Elements of User Experience method, a user-centered design process. After developing the prototype, a test was carried out to determine the quality of the user experience. The test employed the User Experience Questionnaire (UEQ) method. UEQ testing shown that the prototype interface developed had a positive level of user experience. Compared with the benchmarks set by UEQ, the test results were above the mean benchmark, except for the pull factor which was still below the benchmark average.
Applying Integrating Testing of Microservices in Airline Ticketing System Dearisma Arfinda Ma'ruf; Selo Sulistyo; Lukito Edi Nugroho
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 2 (2020): June 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.55491

Abstract

Microservices have been applied on several major systems including airlines. The characteristics of microservices which are independent and also interconnected need to be tested. The testing is done to preserve the system’s sequential stage processes, especially the online ticket reservation. Four features which are the search, booking, payment, and booking info feature are tested. This research performed three stages of testing on the microservices, those are unit testing, integrity testing, and end-to-end testing. Unit testing was conducted to test every function on every nodule, integrity testing was done to test interconnection between microservices, and end-to-end testing was to test the final results obtained after the unit test and integrity test were carried out. The three stages of testing must be done sequentially. The system on the airline provides the valid or correct response. Three stages of testing can be applied on other airlines by obtaining a legal API and can be accessed publicly.
The Effect of Parasitic Rings and Ground Plane on Helix Strip Antenna Muchammad Rofiq Fajar Setiawan; Aryo Baskoro Utomo
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 2 (2020): June 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.55807

Abstract

Strip helix antennas offer better performance at wide bandwidth and more compact in size than conventional helix antennas. However, strip helix antennas have a relatively low gain compared to conventional helix antennas. In this paper, a strip helix antenna with 2.4 GHz frequency was designed, simulated, fabricated, and measured. This strip helix antenna was added with several parasitic rings, and its ground plane size was reduced to increase the gain value and its performance. The best simulation results according to the desired parameters were with return loss < -10 dB of -10.366 dB, VSWR < 2 of 1.8702, and directional radiation pattern of 66.5° beamwidth angle. However, the gain did not match with the desired parameters > 12 dB with the result of 8.9612 dB. Measured results showed that the helix strip antenna has a return loss of -10.37 dB and VSWR of 1.870. The parasitic rings addition can increase the strip helix antenna gain of 0.0201 dB and improves performances of return loss, VSWR, and bandwidth. Despite that, the ground plane size reduction actually decreases the gain value.
Asymmetric-Slit Method on WiFi Antenna with 2.4 GHz and 5 GHz Frequency Petrus Kerowe Goran; Eka Setia Nugraha
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 2 (2020): June 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.55811

Abstract

Wireless Fidelity (WiFi) devices are often used to access the internet network, both for working and in information searching. Accessing the internet can be administered anywhere provided that the area is within the WiFi devices range. A WiFi device uses 2.4 GHz and 5 GHz operating frequencies. There were several methods employed in the previous studies so that an antenna design could work in two different frequencies, i.e., winding bowtie method, Sierpinski method, and double-circular method. This paper employed a simple method, the slit method. The objective of this paper is to discover a simple antenna model that works on 2.4 GHz and 5 GHz frequencies. This paper employed a square patch microstrip antenna with a slit method. The dimensions of the designed square patch microstrip antenna were 42.03 mm × 27.13 mm × 0.035 mm. The antenna worked at 2.4 GHz and 5 GHz frequencies. The obtained simulation results after the optimization showed that the square patch microstrip antenna using the slit method acquired a value of S11 (return loss) of -10.15 dB at a frequency of 2.4 GHz and -37.315 dB at a frequency of 5 GHz.
Development of Bot Detection Applications on Twitter Social Media Using Machine Learning with a Random Forest Classifier Algorithm Aqilah Aini Zahra; Widyawan Widyawan; Silmi Fauziati
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 4, No 2 (2020): June 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.56154

Abstract

A Twitter bot is a Twitter account programmed to automatically do social activities by sending tweets through a scheduling program. Some bots intend to disseminate useful information such as earthquake and weather information. However, not a few bots have a negative influence, such as broadcasting false news, spam, or become a follower to increase an account's popularity. It can change public sentiments about an issue, decrease user confidence, or even change the social order. Therefore, an application is needed to distinguish between a bot and non-bot accounts. Based on these problems, this paper develops bot detection systems using machine learning for multiclass classification. These classes include human classes, informative, spammers, and fake followers. The model training used guided methods based on labeled training data. First, a dataset of 2,333 accounts was pre-processed to obtain 28 feature sets for classification. This feature set came from analysis of user profiles, temporal analysis, and analysis of tweets with numeric values. Afterward, the data was partitioned, normalized with scaling, and a random forest classifier algorithm was implemented on the data. After that, the features were reselected into 17 feature sets to obtain the highest accuracy achieved by the model. In the evaluation stage, bot detection models generated an accuracy of 96.79%, 97% precision, 96% recall, and an f-1 score of 96%. Therefore, the detection model was classified as having high accuracy. The bot detection model that had been completed was then implemented on the website and deployed to the cloud. In the end, this machine learning-based web application could be accessed and used by the public to detect Twitter bots.

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