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Risanuri Hidayat
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Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
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INDONESIA
Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Published by Universitas Gadjah Mada
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
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
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 11 Documents
 1   2 
Search results for , issue "Vol 8 No 4: November 2019" : 11 Documents clear
Integrasi Gradient Boosted Trees dengan SMOTE dan Bagging untuk Deteksi Kelulusan Mahasiswa Achmad Bisri; Rinna Rachmatika
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (954.179 KB) | DOI: 10.22146/jnteti.v8i4.2554

Abstract

Education has an important role in life. Pamulang University is a university which provides education at affordable cost. However, based on student academic performance data, there is imbalance in class between the number of students who graduate on time and students who can not graduate on time, on various study programs. In this paper, an implementation of SMOTE and bagging techniques was conducted on the Gradient Boosted Trees (GBT) classification method for handling the class imbalance problem. The proposed method is able to provide significant results with an accuracy of 80.57% and an AUC of 0.858, in the category of good classification.
Mendeteksi Cyberhate pada Twitter Menggunakan Text Classification dan Crowdsourced Labeling Dana Sulistyo Kusumo; Hadi Kurniawan Sidiq; Indra Lukmana Sardi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1157.974 KB)

Abstract

During the 2019 presidential election campaign in Indonesia, a lot of support was made by the community with various forms of support, such as poster distribution or even content on social media. For example, in social media such as Twitter, there were many support tags during the presidential election, such as #2019gantipresiden, #2019tetapjokowi, and other hashtags related to the Indonesian presidential election. However, many hate speeches are contained in tweets with the related hashtag. Hate speech on the internet (cyberhate) could cause disputes between support groups of the two presidential candidates which cause conflicts such as riots and other actions that harm the country. This study uses the SVM algorithm to detect cyberhate that produces the best accuracy of 97%. Also, this study applies crowdsourced labeling in dataset labeling which results in 98% valid data.
Asosiasi Single Nucleotide Polymorphism pada Diabetes Mellitus Tipe 2 Menggunakan Random Forest Regression Lina Herlina Tresnawati; Wisnu Ananta Kusuma; Sony Hartono Wijaya; Lailan Sahrina Hasibuan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1046.657 KB)

Abstract

Precision medicine can be developed by determining association between genomic data, represented by Single Nucleotide Polymorphism (SNP), and phenotype of diabetes mellitus type 2 (T2D). The number of SNP is actually very abundance. Thus, sorting and filtering the SNP is required before conducting association. The purpose of this paper was to associate SNP with T2D phenotypes. SNP ranking was conducted to choose significant SNPs by calculating importance score. Selected SNPs were associated with T2D phenotype using random forest regression. Moreover, the epistasis was also examined to show the interactions among SNPs affecting phenotype. This paper obtained 301 importance SNPs. Top ten SNPs have association with five T2D protein candidates. The evaluation results of the proposed models showed the Mean Absolute Error (MAE) of 0.062. This results indicate the success of random forest regression in conducting SNP and phenotype association and epistatic examination between two SNPs.
Implementasi Bellman-Ford untuk Optimasi Rute Pengambilan Sampah di Kota Palembang Rezania Agramanisti Azdy; Febriyanti Darnis
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1292.273 KB)

Abstract

The problem of waste in big cities in Indonesia is still the main focus of the related department. Generally, the problem is the lack of garbage transport facilities that can beused to transport waste from the temporary shelter (Tempat Penampungan Sementara, TPS) to the final processing site (Tempat Pemrosesan Akhir, TPA). This lack of garbage transport makes the garbage contained in TPS not fully transportable to TPA due to limited capacity and operational time of the relatedservice. In overcoming this problem, optimization of garbage transport facility utilization can be carried out to optimize the capacity of the garbage transported by finding the shortest path that can be traversed by the garbage transporter. This paper aims to apply the Bellman-Ford algorithm for determining waste collection routes. The Bellman-Ford algorithm allows a negative weighting for its edge value, so that it can anticipate the possible costs to be incurred in the selection of the garbage collection path. The stages of this paper were data requirements analysis, design, implementation, and testing. The results of the study are trajectories with a minimum cost from the origin location to the destination location, although it does not pass through all TPS that must be visited.
Dataset Indonesia untuk Analisis Sentimen Ridi Ferdiana; Fahim Jatmiko; Desi Dwi Purwanti; Artmita Sekar Tri Ayu; Wiliam Fajar Dicka
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1026.557 KB)

Abstract

This paper present a text dataset which can be used in the field of text analysis, especially sentiment analysis. This dataset covers the primary data which consists of 10,806 lines of Indonesian text data originated from Twitter social media, which categorized into three categories that are positive, negative, and neutral; and the raw data which consists of 454,559 lines of unprocessed data. Other than that, on the labeled data, the data is cleaned by removing many kind of noises in the data, such as symbols or urls. In this paper, the presented dataset is tested using a sentiment analysis model to make sure that this dataset is suitable to be used in the field of text analysis. The testing is done by measuring the model accuracy which is trained using this dataset and then comparing it to other model which is trained using already published dataset. After testing the data using various algorithm, such as SVM, KNN, and SGD, the accuracy result between our data and the comparison data are more or less equal with around 4% to 12% differences in accuracy, and prove that the dataset presented in this paper is feasible to be used in sentiment analysis. Dataset can be downloaded from link at conclusion section.
Implementasi Filter Pre-Emphasis untuk Transmisi Sinyal Audio pada Sistem Komunikasi FBMC-OQAM Anggun Fitrian Isnawati; Jans Hendry
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1282.885 KB)

Abstract

High speed data transmision demands broader bandwidth. This has an effect towards the limitation of frequencies spectrum allocation as well as interference. To solve this, multi carrier modulation is one of choices. Having better power spectral density compared to OFDM, the FBMC-OQAM has been chosen as the multi carrier modulation. The FBMC is equipped with Poly Phase Network filter, makes it able to achieve better PSD. Frequently used filter, which is pre-emphasis, is popular in speech processing that is possibly able to be extended in use. Pre-emphasis is also accompanied with de-emphasis filter, which is similar to FBMC. Pre-emphasis filter suppresses low frequency magnitudes and emphasizes higher frequency. By assuming that noise presents in higher frequency, an approachment to protect audio signal by itself is proposed. Random noise is broadband signal where frequencies can have ranges from lower to higher with smaller magnitudes compared to signal. By providing slots in audio higher frequency and magnitudes, random noise occupied those slots with relatively weak magnitudes then sent through the air. At the receiver, a de-emphasis filter invert the process to restore signal by de-emphasizing higher frequency and removing noise as well. The result shows better BER with this approachment. For example, when Eb/No was 13 dB, BER with and without pre-emphasis are approximately 0.0184 dB and 0.0187 dB, consecutively. It means there was 250 bits or approximately 32 points has been corrected. It shows that pre-emphasis can work along with PPN FBMC filter to gain better BER values.
Komunikasi M2M Kognitif Berbasis PRMA dengan Multi Ultra Frame dan Payload Exchange Eko Arifianto; Aghus Sofwan; Teguh Prakoso
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1397.064 KB)

Abstract

M2M communication is the process of exchanging data between devices on a network of capillary systems. The communication channel used is an empty space on a TV channel with a cognitive radio mechanism combined PRMA with a fixed and periodic scheme. The scheme has a working system that allows PRMA to place data in the same free space, which causes collisions. Therefore, it needs repetition, which requires more energy and causes inefficient communication. Thus, a Multi Ultra Frame (MUF) and Payload Exchange (PE) data exchange scheme is proposed to reduce collisions and repetition by giving grades and features to the data, with the aim to achieve optimal use of empty space. An indication of efficient communication is the optimal use of empty space, which affects the throughput (PT), duty cycle (Cyl), and interference ratio (fo). The higher PT and the lower Cyl and fo, the more efficient the communication. MUF and PE schemes produce PT of 99-41%, Cyl of 1-4.4%, and fo of 10-33%. Fixed and periodic schemes produce PTof 81-21%, Cyl of 2-9%, andfo of 15-52%. Optimization of MUF and PE schemes producePTof 99-70%, Cyl of 0.5-2.2%, and fo of 8-14%. Optimization of fixed and periodic schemes produce PTof 66-35%, Cyl of 3-6%, and fo of 19-28%.
Implementasi Full State Feedback LQR dengan JST pada Kendali Ketinggian Quadrotor Faisal Fajri Rahani; Tri Kuntoro Priyambodo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1164.793 KB)

Abstract

One type of unmanned aircraft that is often used today is quadrotor. This type of aircraft has the ability to take off vertically. This study implemented an altitude control system on the z-axis quadrotor. The control used is the full state method of Linear Quadratic Regulator (LQR) with artificial neural networks. The LQR full state feedback method used in this system is 12-states with each feedback constant Ktuned to the neural network method. This study implements the artificial neural network method to change the feedback constant on the z-axis. Artificial neural network architecture used 12 input layers, 48 hidden layers, and 1 output layer. This study compares the value of the results of the simulation with the response value of the system implementation results applied to the quadrotor. Testing with full state LQR feedback using artificial neural networks improves the system response to ±0.77 seconds and improves steady state error values up to ±12 cm. Based on the results of these studies, this system can be implemented to control other systems.
Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi Heru Wahyu Herwanto; Triyanna Widiyaningtyas; Poppy Indriana
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (969.233 KB)

Abstract

Rice yields are very influential in meeting the basic food needs of rice. Because the needs of rice are always rising, it is necessary to predict crop yields to estimate the future planting to meet the basic food needs. The method used in this paper is linear regression algorithm, which can predict the yield of rice plants. The steps in this research are as follows: (1) data collection through surveys to farmers in Lamongan by giving questionnaires to respondents; (2) pre-processing the data, which is data cleaning; (3) applying linear regression to determine the strength of the relationship between one dependent or dependent variable and a set of independent or independent variables; and (4) results of the validation. Testing accuracy is carried out by measuring Root Mean Squared Error (RMSE). The average value of accuracy of the RMSE is 0. 432. This indicates that the variation of values produced by a forecast model is close to accurate, and results in the compatibility of the Multiple Linear Regression Model, with a reliability level of 94.51%.
Antena Ring Sirkular dengan Kemampuan Penekanan Higher Order Mode Rheyuniarto Sahlendar Asthan; Achmad Munir
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 4: November 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1119.533 KB)

Abstract

This paper presents the development of a circular ring-shaped antenna with ability to suppress higher order mode. An S-shaped is added into the ring in order to satisfy the goal of the antenna development. The upper and lower edges of the ring are excited differentially using two ports in order to have symmetrical radiation pattern. Each port is directly connected to a 50 Ω SMA connector using microstrip feeding line. The antenna is designed with an FR4 dielectric substrate with the dimension of 85.4 mm × 85.4 mm and intended to work at the center frequency of 0.9 GHz. The proposed antenna is compared with the conventional circular ring-shaped antenna to observe the antenna performances in term of higher order mode suppression. In addition, optimization is carried out by varying physical antenna parameters. The measurement result shows that circular ring-shaped antenna with S-shaped element can suppress the higher order mode frequency of 19.55 dB and work properly at the desired frequency of 0.9 GHz. The measured impedance bandwidth for the reflection coefficient (S11) below −10 dB is 251 MHz with fractional bandwidth (fBW) of 27.89%. The symmetrical radiation pattern in E-plane with maximum power density at the boresight is obtained at the frequency of 0.9 GHz and 1.94 GHz. The measured 3 dB beamwidths of 0.9 GHz and 1.94 GHz in E-plane are 99.4o and 100.5o, respectively.

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