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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)
ISSN : -     EISSN : 25500554     DOI : https://doi.org/10.22146/ijitee.48545
Core Subject : 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
Articles 93 Documents
Durus Al-Lughah Gontory: Interactive Arabic Mobile Learning for Beginners Dihin Muriyatmoko; Achmad Farouq Abdullah; Zaenury Adhiim Musyafa‟
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 1 (2018): March 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1503.184 KB) | DOI: 10.22146/ijitee.36641

Abstract

The goal of the Android mobile application for Arabic learning is to help students who are not alumni of Muslim boarding school in everyday interaction using the Arabic language at Universitas Darussalam Gontor and to function as a medium to introduce Arabic of Pondok Modern Darussalam Gontor version to beginners. The contents come from the book of the first edition of chapter 1 to 12 written by KH. Imam Zarkasyi and KH. Imam Syubani. These books are studied by santri of KMI PMDG of class one. This application applies grammar translation and audiolingual method to learn Arabic for beginners and is developed using ADDIE (analysis, design, development, implementation, and evaluation) approach model. The test was done in six ways: its compatibility with any android device at least 4.5 inchi with the type of android mimimum version of 4.0.4 (Ice Cream Sandwich), an expert material of Arabic language learning give rate score 95%, an expert of media learning give rate score 88.9%, 7 of 11 lecturers of Arabic language give an average score of 81.4%, 6 of 30 students from non-alumni muslim boarding school at this campus give 91.6% and 373 general users via playstore from February 1, 2017, to November 18, 2017, rated 4.9. The result of the overall evaluation of all the tests on this apps shows that this application is relevant to beginner users because of its ease. However, it cannot replace the role of teacher, class, and situation of real Muslim boarding school.
Performance Improvement Using CNN for Sentiment Analysis Moch. Ari Nasichuddin; Teguh Bharata Adji; Widyawan Widyawan
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 1 (2018): March 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1136.606 KB) | DOI: 10.22146/ijitee.36642

Abstract

The approach using Deep Learning method provides great results in various field implementations, especially in the field of Sentiment Analysis. One of Deep Learning methods is CNN which has the ability to provide great accuracy in some previous research. However, there are some parts of the training process which can be improved to upgrade the accuracy level and the training time. In this paper, we try to improve the accuracy and processing time of sentiment analysis using CNN model. By tuning the filter size, frameworks, and pre-training, the results show that the use of smaller filter size and pre-training word2vec provide greater accuracy than some previous studies.
Kalman Filter Algorithm Design for HC-SR04 Ultrasonic Sensor Data Acquisition System Adnan Rafi Al Tahtawi
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 1 (2018): March 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1792.437 KB) | DOI: 10.22146/ijitee.36646

Abstract

In the control system application, the existence of noise measurement may impact on the performance degradation. The noise measurement of the sensor is produced due to several reasons, such as the low specification, external signal disturbances, and the complexity of measured state. Therefore, it should be avoided to achieve the good control performance. One of the solutions is by designing a signal filter. In this paper, the design of Kalman Filter (KF) algorithm for ultrasonic range sensor is presented. KF algorithm is designed to overcome the existence of noise measurement on the sensor. The type of ultrasonic range sensor used is HC-SR04 which is capable to detect the distance from 2 cm to 400 cm. The discrete KF algorithm is implemented using ATMega 328p microcontroller on Arduino Uno board. The algorithm is then tested with different three covariance values of process noise. The test result shows that the KF algorithm is able to reduce the measurement noise of the ultrasonic sensor. The analysis of variance conducted shows that the smaller value of covariance matrix of the process and measured noises, the better filtering process performed. However, this results in a longer generated response time. Thus, an optimization is required to obtain the best filtering performance.
The Breakdown Voltage Characteristics of Bamboo Insulation under Composite Layer Based Lukmanul Hakim; T. Haryono; Suharyanto Suharyanto
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 1 (2018): March 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.02 KB) | DOI: 10.22146/ijitee.36648

Abstract

Today, insulation system involves more than one insulation material, whether serial, parallel, or both. In insulation system, the simplest form is composite which consists of two layers of the same material. The benefit of using layered insulation is that the dielectric strength is higher than one layer with the same thickness. There are two methods to test bamboo isolator, i.e., tests of the breakdown voltage of bamboo wall and bamboo fiber. The tests used two methods of composite layers (acrylic and resin) and without composite layer (normal condition). The tests were intended to observe the breakdown voltage on each incidence in each test sample and discover the dielectric strength. The test result showed that the breakdown voltage of bamboo wall was bigger than bamboo fiber with or without composite layer. The highest dielectric strengths of acrylic layer in petung bamboo wall were 2.07 kV/mm and acrylic layer in bamboo fiber was 0.95 kV/mm in layered method. Meanwhile, in ampel bamboo wall it was 1.35 kV/mm and petung bamboo fiber it was 0.43 kV/mm in normal condition (without layer).
Operation Region Selector Circuit to Obtain Maximum Efficiency of 250 W Boost Converter Riz Rifai O. Sasue; Eka Firmansyah; Suharyanto Suharyanto
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 1 (2018): March 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1377.707 KB) | DOI: 10.22146/ijitee.36649

Abstract

Interleaved boost converter gives good conversion efficiency due to its zero-current switching capability when operating in discontinuous conduction mode while keeping its input-output ripple current low. However, operating this kind of converter at interleaved operation for all the time gives poor efficiency under light-load condition. In this paper, an automatic operation region selector switch based on detection of the continuous or discontinuous current mode is proposed. With this switch, during the light-load condition, only one converter is activated, while during full-load condition both converters will be activated. The simulation results using LTspice software show that the proposed boost converter has a better efficiency compared to the conventional boost converter with efficiency range of 84.6 % to 95.32 % under various load conditions.
One-Input Three-Output Current-Mode Universal Filter Using Translinear Current Conveyors Montree Kumngern
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 4 (2018): December 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.612 KB) | DOI: 10.22146/ijitee.40843

Abstract

This paper presents a new current-mode universal filter with one-input three-output employing three translinear current conveyors and two grounded capacitors. The proposed filter provides low-pass, band-pass, high-pass current response with high output impedance output which can be directly connected for current-mode circuit. The band-pass and all-pass filters can also be obtained. The parameters wo and Q can be controlled separately and electronically by the bias currents of current conveyors. For realizing all filtering functions, no passive and active matching conditions are required. The active and passive sensitivities are low. The characteristic of the proposed circuit can be confirmed by SPICE simulations.
Current-Controlled Current-Mode Quadrature Oscillator Using Translinear Current Conveyors Montree Kumngern
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 1 (2019): March 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 (941.093 KB) | DOI: 10.22146/ijitee.40875

Abstract

In this paper, a current-mode quadrature oscillator using second-generation current conveyors (CCIIs) is presented. The proposed oscillator consists of two CCIIs, two grounded capacitors and two grounded resistors. The circuit is suitable for integrated circuit implementation by using grounded capacitors. In addition, a new current-controlled current-mode quadrature oscillator using two current controlled second generation current conveyors (CCCIIs) and two grounded capacitors can be obtained by replacing CCIIs and resistors series at X terminals with CCCIIs. The condition of oscillation and frequency of oscillation can be orthogonally controlled. The frequency of oscillation can be controlled by grounded resistors and external bias currents. The proposed circuits have been simulated by SPICE simulations. The simulation results are confirmed the proposed theory.
The Design of Application Architecture of the Institute of Business Based on Enterprise Architecture Planning Muhammad Yusuf Morais; Habibullah Akbar
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 2 (2018): June 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2394.476 KB) | DOI: 10.22146/ijitee.42149

Abstract

Institute of Business (IOB) is committed to achieve its goals, i.e. becomes a place for economics and business as well as computer science developers, and prepare a ready-to-use Human Resources (HR), especially for Timor Leste. At present, IOB does not have an alignment between business processes and information systems owned. Therefore, this paper proposes an architectural design that bridges the alignment. The methods used to build the framework are include Enterprise Architecture Planning (EAP), SWOT, Value Chain, and Mc Farlan Grid. The built frameworks are focused on the needs of the application architecture. The resulted portfolio has 45 applications for various divisions of IOB. In addition, the SWOT analysis shows that IOB's internal and external factors are in the second quadrant. Thus, IOB's position is relatively strong, though it is facing a big challenge. The recommended strategy is the Strengths-Threats (ST) strategy that uses the company’s strength to overcome the threats. This strategy includes improving facilities, adding faculties and departments, developing academic information systems, improving the quality of learning, and improving the human resources quality.
Study of Undersampling Method: Instance Hardness Threshold with Various Estimators for Hate Speech Classification Naufal Azmi Verdikha; Teguh Bharata Adji; Adhistya Erna Permanasari
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 2 (2018): June 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (969.833 KB) | DOI: 10.22146/ijitee.42152

Abstract

A text classification system is needed to address the problem of hate speech in social media. However, texts of hate speech are very hard to find in social media. This will make the distribution of training data to be unbalanced (imbalanced data). Classification with imbalanced data will make a poor performance. There are several methods to solve the problem of classification with imbalanced data. One of them is undersampling with Instance Hardness Threshold (IHT) method. IHT method balances the dataset by eliminating data that are frequently misclassified. To find those data, IHT requires an estimator, which is a classifier. This research aims to compare estimators of IHT method to solve imbalanced data problem in hate speech classification using TF-IDF weighting method. This research uses the class ratio of dataset after undersampling, time of the undersampling process, and Index of Balanced Accuracy (IBA) evaluation to determine the best IHT method. The results of this research show that IHT method using the Logistic Regression (IHT(LR)) has the fastest undersampling process (1.91 s), perfectly balance dataset with the class ratio is 1:1, and has the best of IBA evaluation in all estimation process. This result makes IHT(LR) be the best method to solve the imbalanced data problem in hate speech classification.
Gorontalo Medicinal Plants Image Identification System Using Artificial Neural Network with Back Propagation Mukhlisulfatih Latief; Rampi Yusuf
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 2 (2018): June 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1234.879 KB) | DOI: 10.22146/ijitee.42154

Abstract

The purpose of this research is to design the application of digital image processing system to identify the image of medicinal plants of Gorontalo region using artificial neural network method using back propagation. This research used a digital image processing method with segmentation and extraction techniques. Segmentation process was carried out using thresholding method. Furthermore, a process of characteristic extraction from medicinal plants drawings was carried out using feature and color feature extractions to obtain the value of metric, eccentricity, hue, saturation and value. these five values were used as parameters for input neurons and one output neuron which denoted the class of the medicinal plants image. Data of this research consisted of 91 images which had been divided into two types, training data and test data. The training data consisted of 80 images and the test data consisted of eleven images. A network architecture was obtained from the training result and it provided the highest accuracy level (100%) and least number of iteration with a number of 50 neurons on hidden layer and 143 epochs. The testing result showed a lower accuracy of 54.54%.

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