Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, Power Distribution, Power Conversion, Protection Systems, Electrical Material 3. Signals, Systems, and Electronics: Digital Signal Processing Algorithm, Robotic Systems and Image Processing, Biomedical Instrumentation, Microelectronics, Instrumentation and Control 4. Communication Systems: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Optoelectronics, Fuzzy Sensor and Network
Articles
644 Documents
<![CDATA[Regresi Linear untuk Mengurangi Bias Sistem Penilaian Uraian Singkat ]]>
<![CDATA[Silmi Fauziati]]>;
<![CDATA[Adhistya Erna Permanasari]]>;
<![CDATA[Indriana Hidayah]]>;
<![CDATA[Eko Wahyu Nugroho]]>;
<![CDATA[Bobby Rian Dewangga]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 3: Agustus 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i3.1983
<![CDATA[This study is aimed to improve the performance of a short essay scoring system. The improvement is executed by integrating a simple linear regression to the output of a combined cosine similarity method (with weighted term frequency using Term Frequency –Inverse Document Frequency (TF-IDF) method) and term-matching mechanism.The linear regression is conducted by taking the short essay score (resulting from the combined cosine similarity and termmatching) as a regressor variable. In order to demonstrate the effectivenessof the proposedscoring system, the performance of the scoring system is measured relative to manual scoring by a lecturer.The results show that prior to linear regression, the scoring system tends to give higher score(biased score) compared to the manual score,which is problematic. The following scoring system with linear regression tackles this problem as the scoring bias is significantly reduced, that is, no tendency to givehigher or less scorecompared to the manual score.That the scoring bias is significantly reduced using a simple approach, linear regression,is expected to contribute in the acceleration of implementingautomatedessay scoring system on online learning technologiessuch as e-learning.]]>
<![CDATA[Teknologi Game untuk Pembelajaran bagi Anak dengan ADHD: Tinjauan Literatur ]]>
<![CDATA[Rahadian Kurniawan]]>;
<![CDATA[Raden Bagoes Yudha Rangga Sanjaya]]>;
<![CDATA[Restu Rakhmawati]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i4.2001
<![CDATA[The use of game technology in the learning domain for children with Attention Deficit Hyperactivity Disorder (ADHD) has begun to emerge. Until recently, many studies have been conducted to prove game technology usage’s effectiveness in the learning process for children with ADHD. This paper is a systematic literature review aimed to map the use of game technology in the learning process for children with ADHD and identify a future research roadmap. Based on the exploration of the literature obtained by applying the inclusion criteria, 30 primary studies were selected. The analysis yielded a mapping of game technology goals, game technology genres, game technology platforms, and game technology testing. The literature review results indicate that the use of game technology to improve attention in children with ADHD is proven to be relevant and can be the right choice to enhance the focus skills and learning processes. In addition, this literature review identified three roadmaps for future research, namely paying more attention to other ADHD’s comorbidities as the future research’s goal, paying more attention to variations in the respondents’ background involved in the learning game design process, and using other platforms as media for future learning.]]>
<![CDATA[Analisis Kinerja Per Connection Classifier dan Failover pada Multiple Gateway Internet Networks ]]>
<![CDATA[Faris Agil Putra]]>;
<![CDATA[Alif Subardono]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i4.2065
<![CDATA[A good design for the internet network is needed to create a good internet network. The problem that often occurs is the availability of the internet network. A solution that can be applied to this problem is to implement Load Balancing and Failover. The network concept used was Load Balancing with the Per Connection Classifier method and Failover. Load Balancing is a technique used to optimally distribute traffic loads on a network with two or more connections. The method used was the Per Connection Classifier which could group connections. The Failover technique was also applied to the redundancy function. The test scenario would test the distribution of traffic loads, Failover testing, and comparative analysis of QoS with parameters jitter, packet loss, throughput, and delay on the performance of the system with Per Connection Classifier method based on Classifier Both Addresses, Both Ports, and Both Addresses and Ports. The results of the test show that the system is able to distribute the traffic, the system can create redundancy, while for overall QoS testing, Both Addresses gets better performance than other classifiers.]]>
<![CDATA[Blackbox Testing terhadap Prototipe Sistem Monitoring Kualitas Air Berbasis IoT ]]>
<![CDATA[Anggita Nur Fathoni]]>;
<![CDATA[Unan Yusmaniar Oktiawati]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i4.2095
<![CDATA[Internet of Things is a combination of hardware and software which can carry out a communication between the two. The application of this system can be utilized to monitor water quality with temperature and pH parameters online through Blynk application. Blynk application shows data from the reading results of two sensors, namely the DS18B20 temperature sensor and the DFRobot pH sensors in the form of number and graphs. Prior to further use, the accuracy of both of sensors was examined in order to gain more accurate sensor readings. The accuracy testing resulted in an average relative error value of 0,98% for the DS18B20 temperature sensor and 0,95% for DFRobot pH sensor. In the testing, blackbox testing was used to make more use of functional things in the system designed for the user convenience in monitoring water quality based on the the application’s display. Furthermore, the system shows that the function of the hardware or Blynk application to monitor temperature and pH conditions has been running well and can be utilized by the users easily and beneficially.]]>
<![CDATA[Perancangan Kendali Formasi pada Multi-Robot Roda Omni dengan Kemampuan Menghindari Tabrakan ]]>
<![CDATA[Faisal Wahab]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i4.2152
<![CDATA[In this study, a distributed formation control was designed using multiple omni wheel robots (OMR) with the ability to avoid collisions between OMRs when forming a formation. The formation control employed a consensus algorithm consisting of four layers, namely the tracking, consensus, behavior, and the physical robot layer. The tracking layer was used to direct the OMR position at a predetermined virtual center. At the consensus layer, controllers were designed at the robot level. These controllers were an elaboration of the consensus algorithm. The behavior layer was used to augment the collision avoidance methods when OMR formed a formation using the Stipanovic method. On the physical robot layer, four OMRs with three omni wheels configurations were employed. Subsequently, the previously designed controllers were simulated using MATLAB software. The simulation results indicate that the controller applied to the OMR has succeeded in forming the desired formations, namely square and rhombus. In addition, during the process of building these formations, each OMR could maintain a distance; thus, there was no collision with various communication topologies and formations.]]>
<![CDATA[Penerapan Antarmuka Adaptif Berbasis Perilaku Pemain pada E-Learning Bidang Pemrograman ]]>
<![CDATA[Fajar Pradana]]>;
<![CDATA[Fitra A. Bachtiar]]>;
<![CDATA[Retno Indah Rokhmawati]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i4.2165
<![CDATA[The pandemic has caused a significant impact on the educational sector’s implementation. The teaching and learning process that was previously carried out face-to-face now must be conducted online. Online learning utilizing e-learning is very beneficial for learners because it can be accessed online anytime, anywhere. Not only is it expected to be a medium to share material files that serve as learning supports, but e-learning is also required to replace the teachers’ or lecturers’ role in the classroom. In the teaching and learning process, it is essential to understand the students’ conditions and behaviors. This knowledge of students’ conditions and circumstances during the learning process can be used as resources for improving the quality and students’ learning process. Most of the existing e-learning has not been equipped with features to detect the students’ state while using the system. In this research, an adaptive interface was applied as a reflection of e-learning that could adapt to the characteristics of user behavior. The performance testing results showed that the time required for the log data with 950 active users was 23,35 ms. Meanwhile, based on the functionality test, the system succeeded in displaying the interface according to the cluster member.]]>
<![CDATA[Alokasi Resource bagi Multicarrier-Low Density Sequence-Multiple Access ]]>
<![CDATA[Linda Meylani]]>;
<![CDATA[Nur Andini]]>;
<![CDATA[Desti Madya Saputri]]>;
<![CDATA[Iswahyudi Hidayat]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 1: Februari 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i1.2303
<![CDATA[Multicarrier low-density sequence multiple access (MC-LDSMA) is a code domain type of non-orthogonal multiple access (NOMA) in a multicarrier system. Each user in this multiple access scheme has a non-orthogonal code to one another. Each user is only allowed to access dv from the available N resources and there are only dc users from the total of J users accessing the same resource. The non-orthogonal nature causes the MC-LDSMA system to have a higher overloading factor than other orthogonal multicarrier systems. This condition causes MC-LDSMA to become one of the multiple access techniques used in underlay cognitive radio communication systems, where secondary users (SUs) are permitted to access resources owned by primary users (PUs). This paper proposed a resource allocation algorithm for MC-LDSMA in an underlay cognitive radio system. The proposed algorithm aims to increase the number of SUs accessing PUs resources while maintaining the SUs quality factor. The system built consisted of I PUs and J SUs. PUs in the system was assumed to be orthogonal so that they did not interfere with each other. At the same time, some J SUs simultaneously accessed resources owned by PU using the MC-LDSMA multiple access schemes. The proposed algorithm considered several factors, including the parameters dc, dv, SU target signal-to-noise ratio (SNR), and the interference tolerance limit desired by PU. Performance parameters were indicated by the outage probability (OP), the throughput of PU and SU, and the ratio of the number of SUs that were allocated less than dv resources. The simulation results suggest that all performance parameters are affected by the number of resources accessed by each user, dv, the target SNR of SU, and the interference limit determined by PU.]]>
<![CDATA[Penerapan Augmented Reality Berbasis Android untuk Pembelajaran Organ Lambung Manusia ]]>
<![CDATA[Fony Ferliana Widianingrum]]>;
<![CDATA[Sugondo Hadiyoso]]>;
<![CDATA[Suci Aulia]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i4.2362
<![CDATA[The stomach is one of the digestive systems functioning as a medium to process and store food, as well as to get rid of harmful substances and absorb good substances for the body. Although elementary schools usually use the torso as a teaching aid to introduce the stomach organ, it is, in fact, very inflexible for elementary students as they have limited learning hours at school. Therefore, it is necessary to develop a stomach organ learning system that can be studied anytime and anywhere. In this study, an Android-based stomach organ learning application was designed by applying Augmented Reality (AR). To run this application, the user needs to install it first. After opening the application and selecting the desired menu, users can point the smartphone at the appropriate marker until the AR display appears. Based on the test results, the application cannot bring AR objects from the stomach organ in a dark place since the marker is not detected. The best distance for marker detection is 20 cm to 35 cm, with an average delay of 0.3 s in indoor conditions and 0.45 s in outdoor conditions.]]>
<![CDATA[Kinerja Konvolusi pada Sistem Amplify and Forward dengan Predistorsi dan Seleksi Relai ]]>
<![CDATA[Annisa Anggun Puspitasari]]>;
<![CDATA[Mareta Dwi Nor Habibah]]>;
<![CDATA[Ziyadatus Shofiyah]]>;
<![CDATA[Ida Anisah]]>;
<![CDATA[Yoedy Moegiharto]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 1: Februari 2022 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v11i1.2386
<![CDATA[This paper evaluated the performance of the convolutional coding technique in a cooperative communication system using the amplify-and-forward (AF) protocol and applying a relay selection strategy by simulation. At the transmitter (source) side, a joint of peak average power ratio (PAPR) reduction techniques with selective mapping (SLM) schemes and the Hammerstein predistortion model was applied. The predistortion technique with the Rapp inverse model was applied at the relay. On the channel side, the relays were used as a virtual antenna, where relay usage in cooperative communication systems can be implemented for 4G or 5G networks in future research, even though it requires large bandwidth. Implementing the relay selection strategy can increase bandwidth efficiency because only the best relay will forward information from source to destination. The conventional relay selection strategy was used to evaluate the performance of the convolution coding in a multi-relay scheme by choosing the best relay considering the signal-to-noise ratio (SNR) value on the source to relay and relay to the destination channel. Only the best relay will forward the signal from source to destination using the AF protocol. System performance is expressed in bit error rate (BER) probability. The simulation results showed that the convolutional coding technique could improve system performance up to 16.59% with or without predistortion techniques. Then, the predistortion technique applied on the source and relay side generated the best performance, where the system performance could increase up to 34%. In addition, the implementation of the conventional relay selection strategy showed that the scheme with the most relays, which was six relays, could produce the best performance due to the increasing number of available paths.]]>
<![CDATA[Metode Imputasi pada Data Debit Daerah Aliran Sungai Opak, Provinsi DI Yogyakarta ]]>
<![CDATA[Fahmi Dhimas Irnawan]]>;
<![CDATA[Indriana Hidayah]]>;
<![CDATA[Lukito Edi Nugroho]]>
<![CDATA[ Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021 ]]>
Publisher : <![CDATA[Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada ]]>
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DOI: 10.22146/jnteti.v10i4.2430
<![CDATA[The data availability of water resources in Indonesia has several complex problems related to the perfection of data. The problems taking place when collecting data in several Indonesian agencies are the accuracy and completeness of the data. There are several methods that can be used to handle missing value imputation, such as k-Nearest Neighbors Imputation (k-NNi) and Multivariate Imputation by Chained Equation (MICE). This study seeks to compare and find the most appropriate method using the Opak watershed dataset in Special Region of Yogyakarta. The characteristics of the Opak watershed lies in its fan shape that provides a lower concentration-time and produces a higher flow. The results of the statistical validation comparison showed that the most consistent average value of RMSE and MAE was the k-NNi method with a value of k = 28. As for the comparison of R-Squared values, the k-NNi method with a value of k = 28 obtained the best average value with 80%, followed by the k-NNi method of k = 7 as the default k value with a percentage of 73%. Among the applied methods, the MICE comparison method obtained the lowest average percentage value with 63%.]]>
