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Jurnal Nasional Teknik Elektro dan Teknologi Informasi

JNTETI
Website

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 644 Documents

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Klasifikasi Pneumonia pada Citra X-rays Paru-paru dengan Convolutional Neural Network I Md. Dendi Maysanjaya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Pneumonia is a lung disease that could be caused by bacteria, viruses, fungi, or parasites. The pulmonary cysts are filled with fluid, causing croup and mucus cough. Usually, observation of the patient's lung condition is performed through X-rays. However, the quality of X-ray images tends to be less than optimal. Therefore, a CAD-based automation system was developed. In this paper, a new chest X-rays dataset for pneumonia cases is classified by using Convolutional Neural Network (CNN). This study examines the CNN performance in handling the new dataset. The data were obtained from the Kaggle platform. In total, there were5,840 images occupied in this study, consisting of 1,575 normal lung images and 4,265 pneumonia lung images. The data were divided into training and testing data, with the amount of data 5,216 and 624 images on each, respectively. The CNN activation function applied the Rectifier Linear Unit (ReLU) function, Adam optimization function, and epoch as many as 200times. Based on the test results, the average accuracy and loss values are sequentially at 89.58% and 47.43%. The results of this test indicate that the CNN method is quite capable of classifying the pneumonia cases.

MPPT Menggunakan Algoritme Particle Swarm Optimization dan Artificial Bee Colony Ermanu Azizul Hakim; Tamadar Al Ghufran; Machmud Effendy; Novendra Setyawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Solar power plant is a renewable electricity generator that utilizes heat from sunlight. However, because the intensity of light received by the solar cell and the temperature in the solar cell is always changing, the power generated is not optimal. To optimize the output power of the solar cell, a Maxi-mum Power Point Tracking (MPPT) system is needed. Solar cells can be optimized by looking for MPPT and also by using a DC-DC converter. In this study, boost converter is optimized using Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms. The results show that the highest efficiency obtained from boost converter is 78.25%,using duty cycle of 20%. For the overall system testing conducted at 09:00 WIB until 11:10 WIB, the average power obtained without using MPPT is 12.55 W, the average power of MPPT system using boost converter with PSO algorithm is 16.79 W, and average power of MPPT system using boost converter with ABC algorithm is 14.52 W. From the results, it was concluded that the output power of MPPT system using boost converter with PSO algorithm is more optimal than the MPPT system using boost converter with ABC algorithm.

Komparasi Term Weighting dan Word Embedding pada Klasifikasi Tweet Pemerintah Daerah Pande Made Risky Cahya Dinatha; Nur Aini Rakhmawati
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

The emergence of social media encourages the government to use social media to diseminate information to its people. The information must be beneficial for the people to maintain government to citizen relationships. Classification on social media post is possible to categorize the types of posts. The study was conducted on the local government`s social media accounts, yet the text processing in theresearch needsto be explored. Term weighting and word embedding are implemented in this research. The purpose is to compare term weighting term frequency-inverse document frequency, Okapi BM25, and word embedding doc2vec in producing features for the problem of short text classification.This study representsfeature selection process, how to assessclassification model, and to find the best model to overcome short text classification problem. There are six classes to categorize 1,000 short texts from 91 accounts. The measurements, i.e.precision, recall, f-1, macro-averages, micro-averages, and AUC,were calculated on each model. The result shows that the SVM linear kernel with TF-IDF performs best and slightly better than the logistic regressionwith 0.572 and 0.766 on macro-averagerecall and micro-average recall,respectively.

Analisis Sentimen Transportasi Online Menggunakan Support Vector Machine Berbasis Particle Swarm Optimization Valentino Kevin Sitanayah Que; Ade Iriani; Hindriyanto Dwi Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Phenomenon of online transportation with some problems like crime and fraud in Indonesia triggers pros and cons to Twitter users. This study aims to find out sentiments of the society on online transportation and compare the accuracy of SVM and SVM-PSO with default parameters value. The proposed solution divided the dataset into training and testing data, because some researches only used one dataset that had already been classified. The research data is tweet data, which is obtained through scraping method using Octoparse. A total of 1,852 tweets from 1/1/2019 to 15/10/2019 were divided into 1,130 tweet testing data and 722 tweet training data. Then, RapidMiner was used for analysis process. Analysis positive sentiment using SVM is 62% and negative sentiment is 38%, while in SVM-PSO, positive opinion is 53% and negative opinion is 47%. The results of research using 10 k-fold CV produce accuracy on SVM is 95.46% and AUC is 0.979 (excellent classification), while in SVM-PSO accuracy is 96.04% and AUC is 0.993 (excellent classification). The results show that use of training and testing data on this study can be done and prove that SVM-PSO is better than ordinary SVM, although the parameters value is default.

Sistem Monitoring Temperatur Tuang Logam dan Penggunaan Energi Berbasis IoT di MIDC Anugrah Erick Eryantono; Muhammad Nauval Fauzi; Muhammad Fathurrohman
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Tough competition among metal casting industries requires the use of technology to produce high-quality productsandlarge quantities with optimal production costs. Parameters that affect casting products are temperature at pouring time and pouring rate. The heat loss caused by the transfer of metal through the ladle and the influence of the surrounding environment that absorbs heat can cause a significant temperature drop. Therefore, a temperature monitoring system to monitor and record the rate of temperature decrease in real-time to obtain optimal casting results is needeed, as well as a monitoring system for energy usage to reduce the cost of the production. Industrial revolution technology 4.0 in the metal casting industry,especially carbon steel and cast iron,can help operators to display data in real-time, store,process,and evaluate the data on cloud/server. This system is integrated using Internet of Things (IoT) technology. Database of casting parameters (pouringtemperature and energy usage) obtained from measurements of sensors and stored in cloud is used for analysis and evaluation of the research. The results of the monitoring system analysis was expected to help reduce production cost in MIDC.

Optimasi Asymmetric City Tour di Kota Kediri Menggunakan Ant Colony System Abidatul Izzah; Benni A. Nugroho; Wayan F. Mahmudy; Fitra A. Bachtiar
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 1: Februari 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Kediri City is a stopover/transit city and has many potentials in the fields of tourism, education, and industry. Thus, the City of Kediri became one of the cities that are very likely to develop and be crowded. Therefore, it is required to model city tours in several primary fields of Kediri City. In the literature, determining the optimum route can be approached as a traveling salesman problem. However, traveling salesman problem model cannot be used to determine the city tour path as the distance among the point may vary. In this study, we used the concept of asymmetric traveling salesman problem to solve the city tour path. Furthermore, we used the ant colony system algorithm to solve this problem. The cases resolved in this study are the location of the tourism center, industrial center, and education center in Kediri City. The results show the ant colony system is capable of providing optimum tour route solutions, namely the city tourist route 34.65 km, the industrial route 21.19 km, and the school route 28 km.

Review Perhitungan Biaya Wheeling Yusuf Susilo Wijoyo; Sasongko Pramono Hadi; Sarjiya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 1: Februari 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Wheeling is a solution to the complexity of transmission network constructing problem. With the wheeling concept, a power plant owner can deliver electricity to its load without having to construct a transmission network. The owner of the power plant can utilize the transmission network belonging to other entities. The wheeling concept is an interesting thing in terms of increasing current renewable energy penetration. This is due to the construction of the transmission network, which is one of the obstacles in increasing renewable energy penetration. Fairness of wheeling costs is still one important topic. The discussion regarding wheeling costs emphasizes that the costs charged to each party involved can meet the fairness principle, which is in accordance with their respective contributions to the implementation of wheeling. Broadly speaking, research related to wheeling can be grouped into research for developing wheeling cost calculation methods and research for developing wheeling cost allocation methods. The development of the wheeling cost calculation method also includes the development of cost components that can be included in the cost calculation. This study summarizes the discussion of wheeling costs on three aspects, namely calculation methods, cost components, and cost allocation mechanisms.

Analisis Pendapat Masyarakat terhadap Berita Kesehatan Indonesia menggunakan Pemodelan Kalimat berbasis LSTM Esther Irawati Setiawan; Adriel Ferdianto; Joan Santoso; Yosi Kristian; Gunawan Gunawan; Surya Sumpeno; Mauridhi Hery Purnomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 1: Februari 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

The uncertainty of health news content, which is spread on social media, raises the need for validation of the truth. One validation approach is to consider the opinion or attitudes of most people, which is called a stance on a topic, whether they support, oppose, or being neutral. This paper proposes a stance analysis model to classify the relationship between sentences so that it can recognize the correlation of the opinion of the writer in the headline of the problem claim. The proposed model uses several Long Short-Term Memory (LSTM), which represent the interrelationship of news for analysis of the relationship between a claim with other news. The formation of word representation vectors is carried out in conjunction with LSTM-based stance classification training. Sentence embedding is done to get the vector representation of sentences with LSTM. Each word in a sentence occupies one time-step in LSTM and the output of the last word is taken as a sentence representation. Based on the results of trials with the Indonesian health-related dataset that was built for this study, the proposed stance classification model was able to achieve an average F1-score value of 71%, with the supporting value 69%, opposing as much as 70%, and neutral 74%.

Evaluasi Penggunaan Aplikasi Point of Sale Menggunakan Technology Acceptance Model pada UMKM Evasaria Magdalena Sipayung; Cut Fiarni; Wawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 1: Februari 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Point of Sale (POS) application in MSMEs is used as a tool for making sales. La Fresa Farm uses POS Intuit QuickBooks Enterprise 2015 application. As long as this application is implemented, users need a fairly long interaction time. Seeing these problems, tools are needed to evaluate the use of the application. In this study, the evaluation model used is the Technology Acceptance Model (TAM). TAM describes the ease of use and usefulness variables as the first measuring variables that affect other variables to the actual to use variable. The ease of use variable is the interaction time, which is measured using Keystroke Level Model (KLM). The usefulness variable is measured by cognitive models. In this study, there are additional variables outside the TAM model, namely self-efficacy, timeliness, and complexity. The test was carried out by the POS Intuit QuickBooks Enterprise 2015, Moka, Pawon, and Olsera applications. The KLM test results showed that the fastest time was 89.8 seconds and the results of TAM evaluation on Moka showed that the results of the actual to use variable response had a positive response, so that the interest of users using Moka was quite high.

Simulator Panel Surya Ekonomis untuk Pengujian MPPT pada Kondisi Berbayang Sebagian Novie Ayub Windarko; Muhammad Nizar Habibi; Mochamad Ari Bagus Nugroho; Eka Prasetyono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 1: Februari 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

This paper describes a low-cost solar panel simulator for Maximum Power Point Tracking (MPPT) method testing, especially under partially shading conditions. The simulator consists of a DC power supply and a solar panel. The simulator works to emulate the characteristics of solar panels without depending on artificial illumination or sunlight. The simulator can represent the needed irradiation through the settings on the DC power supply. The experimental setup is developed to emulate the characteristics of solar panels at Standard Test Conditions (STC) irradiation conditions as well as varying irradiation conditions. Testing is done to emulate irradiation varies from 200-1,000 W/m2. To emulate the characteristics of solar panels in partial shading conditions, two DC power supply units and two solar panels are used. Each solar panel is simulated to receive different solar irradiations. The test results show that the simulator can emulate the characteristics of solar panels under partial shading conditions which has several maximum power points. Furthermore, partial shading conditions are simulated under varying irradiation conditions which resulted varying maximum power point values.

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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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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Risanuri Hidayat

Contact Email risanuri@ugm.ac.id

Phone +62274-552305

Journal Mail Official jnteti@ugm.ac.id

Editorial Address Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281

Location Kab. sleman, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Risanuri Hidayat

Contact Email
risanuri@ugm.ac.id

Phone
+62274-552305

Journal Mail Official
jnteti@ugm.ac.id

Editorial Address
Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA