cover
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
Jurnal Nasional Teknik Elektro dan Teknologi Informasi
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
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
Perancangan Jaringan Nirkabel untuk Infrastruktur Monitoring Deformasi Bendungan Sermo Addin Suwastono; Bambang Sutopo; Litasari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Wireless local area networks is used by Sermo’s GNSS-CORS to renew its reference position from Department of Engineering Universitas Gadjah Mada’s CORS.The problem is, that wireless local area network should meet the bandwidth requirement and the operation should not break the frequency usage regulation in Indonesia.This reseach was conducted to study the bandwidth needs of Sermo’s dam deformation monitoring system, to design the topology, and calculating EIRP of all wireless network link in the system that meet the regulations of the Ministry of Communications and Information Republik of Indonesia. Wireless local area networks was built to connect Sermo, Faculty of Engineering Universitas Gadjah Mada and Balai Besar Wilayah Sungai Serayu Opak’s office.Design implementation and testing of broadband wireless equipment at unlicence frequency of 2.4 GHz (Motorola PTP 100) and 5.8 GHz (Motorola Motorola PTP and PTMP 5750AP/5760SM 58 300) resulted in 2.22 Mbps bandwidth that is much greater than that required, 128.7 kbps, and the average round trip delay of 19.2 ms. Antenna alignment information can be used as a reference for wireless communications equipment maintenance.
Perancangan Data Warehouse Sistem Informasi Eksekutif untuk Data Akademik Program Studi Eko Prasetyo; Lukito Edi Nugroho; Marcus Nurtiantara Aji
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

This research examines the design of data warehouse that are the result of data integration and abstraction from various academic applications that accommodate the needs of history and archiving data to support executive information systems in the academic field. Identification of the executive reports use reference of the program accreditation forms, internal academic quality audit questionnaires, Dean’s annual reports, self-evaluation forms of Competitive Grant Program, features of the existing EIS, and features of executive data on the university academic administration website. The subject of this research is student data based on chronological stages starting from candidates selection process, new students, and students during lectures. The success of data warehouse design is determined by the right description of the business events, data completeness and validity, data mart design using metrics bus architecture, star schema design and ETL process to integrate, extract, cleanse, transform and load it into the data warehouse.
Simulasi Deployment Jaringan Sensor Nirkabel Berdasarkan Algoritma Particle Swarm Optimization Zawiyah Saharuna; Widyawan; Sujoko Sumaryonjo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Deployment is one of several important issues in Wireless Sensor Network (WSN). During WSN deployment, the connectivity between each sensor nodes must be considered carefully to create reliable communication. In this research, we propose a WSN deployment tool based on Particle Swarm Optimization (PSO) algorithm with connectivity of the wireless to be our concern. Implementation of the PSO algorithm is focused to optimize received power of each sensor node based on its position in the 2D space. Therefore, every sensor node in the network will be able to reach its best position and improves the network connectivity. The deployment simulation results with various transmit power (e.g. -25 dB, -28 dB, -31 dB, -34 dB, -37 dB, -40 dB, -43 dB, and -46 dB) are successfully form a network with well maintained connectivity. After 100 times of simulation, the average of convergence is reached at iteration 29.
Sistem Pemantauan dan Pengendalian Sepeda Listrik Berbasis Internet of Things Muhammad Ridwan Arif Cahyono; Ita Mariza; Wirawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 1: Februari 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1413.843 KB) | DOI: 10.22146/jnteti.v11i1.3183

Abstract

Electric bicycles are now widely available in the Indonesian market. Most electric bicycles have not been integrated with smartphones. As a result, they are currently unable to be monitored or controlled remotely. In this study, an internet of things (IoT)-based monitoring and control system for electric bicycles was developed. An ESP32-based microcontroller was used as an IoT device to measure distance traveled with a GPS sensor by applying the Haversine method, measuring bicycle speed, designing a bicycle safety system, and designing a calorie measurement system when a bicycle was pedaled. The SIM800L module was used as a communication device, where this module was capable of establishing internet communication over a 2G network. The electric bicycle controller was modified to be integrated with the ESP32 for electric bicycle propulsion using a BLDC type motor with a voltage of 36 V. Raspberry Pi was used as a web server for data storage and processing. The metabolic equivalent of task (MET) method calculated calories burned. The monitoring and controlling of electric bicycles were carried out by building an Android smartphone-based application using the Kodular application. The map service feature was based on OpenStreetMap. This application can turn on and off the electric bicycle remotely, adjust the speed gear position, adjust the speed, turn on the alarm, track the last location, track location history, and perform calorie measurements. The control process can be done by pressing buttons and voice commands in Indonesian. This application was tested using the black box method with 100% successful results and a time delay of 8.82 s. Calorie measurement accuracy was 94.24% compared to calorie measuring equipment on the market. Speed control has linearity with an R2 of 0.9984.
Estimasi Posisi Objek dalam Gedung Berdasarkan GSM Fingerprint Hani Rubiani; Widyawan; Lukito Edi Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Most research of indoor localization is based on the use of short-range signals, e.g. WiFi, Bluetooth, ultra sound, and infrared. This research discusses indoor localization using the Global System for Mobile Communication (GSM). The GSM has many advantages that is explained as follows. The system can be used in vast area coverage and worked even the electrical condition of the building is being extinguished. The estimation of object position uses Receive Signal Strength (RSS) GSM fingerprinting. The experiment is conducted with 2, 3, and 4 cell-ID. The localization phase uses Naive Bayes (NB) method. Afterwards, the results will be compared with Nearest Neighbour (NN) method. The results show a correlation between the number of cell ID with average minimum distance error. The accuracy is 7.89 m using NB with four cell ID. The error is better than the use of k-NN method which has accuracy of 12.19. For the all scenario, NB method has better accuracy than k-NN method.
Analisis Degradasi Permukaan Bahan Isolasi Resin Epoksi dengan Pengisi Pasir Pantai yang Mengandung Banyak Kalsium Moh Toni Prasetyo; Hamzah Berahim; T. Haryono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Insulation materials that commonly used in air insulation, which, is operated at high voltage, are the porcelain, glass, and polymer materials. One of the insulating polymer materials that are used is epoxy resin because it has several advantages compared to porcelain and glass. However, this insulation material has a shortage of aging/degradation of the surface (surface-aging) due to environmental pollution. Environmental pollution can cause insulation coated with dirt and chemicals in the long time.Material that was used in this research was epoxy resin polymer isolation using of comparison values (base material diglycidyl ether of bisphenol-A (DGEBA) : hardener material or curing agent metaphenylene diamine (MPDA)) were 1:1, with the increase of silane and coastal sand as filler by the value of 10%, 20%, 30%, 40%, and 50%, sample size was 120 x 50 mm.Research was done in laboratory according to standard IEC 587: 1984. High voltage electrodes were connected to high voltage AC generator 3.5 KV, and NH4CI contaminants flowing on insulator surface of 0.3 ml / min from high voltage electrode. The ground electrode was connected to oscilloscope for measuring the leakage current. In this study, the effect of variation in stoichiometry to the hydrophobic contact angle value, leakage current waveforms, and surface degradation caused by erosion and tracking processes and tracking time were analyzed.From the results of the research, it was obtained that the epoxy resin that was used in this research are categorized as hydrofobik and partially wetted. The increase concentration of silane dan coastal sand as filler caused the increase in contact angle which meant the increase in surface insulation resistance, so that leakage currents flew on the surface insulating material not easily. The increase in concentration of silane dan coastal sand as filler retarded the carbon growth the surface of insulating material. This indicated that the increase in filler concentration slow down the aging or the degradation decreasing on the surface of insulating material. Concentration value of filler that had the optimal performance of the tracking process and erosion was 40%.
Penerapan Algoritma Ant System dalam Menemukan Jalur Optimal pada Traveling Salesman Problem (TSP) dengan Kekangan Kondisi Jalan Andhi Akhmad Ismail; Samiadji Herdjunanto; Priyatmadi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

The completion of Traveling Salesman Problem (TSP) is to find the shortest path to visit all of the cities. With the shortest path, it is expected that the travel time will also be shorter. In fact, when a salesman visits all of the cites in his list, he will find obstacles such as poor road conditions, congestion, damaged roads, or other constraints. Therefore, although the shortest path has been established, if there is an obstacle the travel time to all cities will be longer. One way to solve the TSP is by ant algorithm. The modifications were made to the Ant System by providing constraint pheromone to each road which could not be passed and also gave a long distance to the roads that should not be passed. The results of this study indicate that the ants never pass constrained sections, for square grid data also two data from TSPLIB95. This occurs because the segments were given constraints, the pheromone were weighted 0 and given the longest distance.
Sistem Kontrol Suhu dan Laju Pemanasan Alat Pirolisis Muhammad Amiruddin; Bambang Sutopo; Rochmadi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

In the process of pyrolysis, heating rate and temperature is an important parameter to be controlled, because it affects the results of the process. Temperature of the heating process in the heating chamber dimensions 35cm × 20cm × 20cm, monitored with a thermocouple type K that have a measurement range of -200°C to 1300°C. Setting the heating element uses AC voltage control TRIAC phase control method. Control system using fuzzy logic control with input variable E (error), CE (change of error), the delay time of TRIAC trigger and temperature process to produce a variable output of delay time change of TRIAC trigger involving fuzzy rules. The results of this study have produced a system of control ranges from 0° to 700°C, and is able to provide maximum heating rate of 9.9°C/min over a temperature range of 100°C to 200°C and heating rate of a minimum of 4, 4°C/min over a temperature range of 600°C to 700°C. In descriptive statistics, temperature control has a maximum temperature range in 8.9°C at 700°C setpoint and the maximum standard deviation of 2.2 at 500°C setpoint.
Klasifikasi Nomsupervised Citra Thermal Kanker Payudara Berbasis Fuzzy C-MEANS Octa Herlina; Thomas Sri Widada; Indah Susanti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Breast cancer was a disease with the condition of the breast tissue became abnormal due to the development of cancer cells in the breast area. One method of breast cancer nondestructive detection was through shooting the indicated breast cancer by using an infrared camera.The emission variations of infrared radiation on the image captured showed the level of cancer. The results of infrared camera imaging was called as thermograph image processed in computing for the classification of cancer in breast areas according to the characteristics of each image. The image feature extraction was obtained through the calculation of the fractal dimension of the image by using the box counting algorithm. Image classification process was done by using the Fuzzy C Means algorithm to determine the level of the breast cancer size based on the T component of the TNM system, namely T0, T1, T2 and T3 to the 22 image data to obtain the value of the parameter cluster centers in Fuzzy C Means.The results of test showed that the feature extraction of breast thermography image using box counting fractal method gave the different value between normal breast and inflammatory cancer breast tissues. Normal breast tissue (T0) has fractal dimension mean less than T1, there was about 1.161525 with deviation standard value was about 0.593625. Breast with tumor T1 has fractal dimension mean less than T2, there was about 1.45455 with deviation standard value was about 0.4645. Breast with tumor T2 had fractal dimension mean less than T3, there was about 1.6596 with deviation standard value was about 0.2925,and breast with tumor T3 has fractal dimension mean about 1.81294 with deviation standard value was about 0.20199. The classification using Fuzzy C Means in 32x32 pixel box counting testing showed different result with 64x64 pixel box counting testing, there are 27% differences for cluster = 3, and 45% differences for cluster = 4.
Analisis Klasifikasi Sinyal EKG Berbasis Wavelet dan Jaringan Syaraf Tiruan Arif Surtono; Thomas Sri Widodo; Maesadji Tjokronagoro
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

ECG signals analysis at first associated to pattern recognition of the ECG signals marphology. Nonetheless the signals marphology varying not only in different patients but also in the same patient. The varying of the ECG marphology has efected difficulties in ECG analysis, particularly for a trainingless medicines. On the other hand the ECG signals contain much noises. Therefore it was require the suitable methods for ECG signals analysis. This research aim are analyzing and classifying of the ECG signals from heart condition of normal, arrhytmia, ventricular tachyarrhytmia, intracardiac atrial fibrillation dan myocard infarction based on wavelet transformation and artificial neural network backpropagation.The research stages are data preparing, pre-processing, feature extraction, processing and post-processing. The 60/50 Hz noises in ECG signals from power line interference reduced using IIR notch filter with pole-zero placement method. The baseline wander noises reduced using discrete wavelet transform of 11 level decomposition to find frequency component below 0,5 Hz as a noise source.Based on this work results obtained that average accuracy percentage of the neural network recognized all of the ECG types reached 87,424 %. Highest accuracy percentage of 95,455 % for ventricular tachyarrhytmia and lowest accuracy percentage of 70 % for arrhytmia classification.