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Induction Motor Monitoring System Base on Fuzzy Logic Controller Prof. Rukmi Sari Hartati; Ida Bagus Gede Manuaba; I Made Mataram
Journal of Electrical, Electronics and Informatics Vol 4 No 1 (2020): JEEI (February 2020)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2020.v04.i01.p03

Abstract

Squirrel cage induction motor is an AC electric motor that is most widely used in industry. This type of motor is chosen because it does not have a commutation brush, and its construction is strong, so it can withstand large, easy flow surges for repair and maintenance. The problem that often occurs is the imbalance of supply voltage which causes motor efficiency to decrease. An imbalance of voltage will result in a current not equal. As a result of phase currents that are much larger than other phases result in an increase in temperature and speed on the motor. This research was conducted to monitor the induction motor so that it can determine the condition of the motor when receiving a voltage imbalance. The method used in the induction motor condition monitoring system is the fuzzy logic method. Parameters that can be monitored are categorized into three conditions: normal (good) motor condition, damage (serious) and serious damage.
Improving Performance Stability of Power System Java-Bali Interconnection with PIDPSS3B and PIDSVC Controllers Ida Bagus Gede Manuaba; Putu Arya Mertasana; Made Mataram; Cok Gede Indra Partha
Journal of Electrical, Electronics and Informatics Vol 1 No 1 (2017): JEEI (February 2017)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2017.v01.i01.p04

Abstract

Modern electric power system that many its dynamic equipment continuously vulnerable to internal and external disturbances. On the condition of the disorder, it often happen oscillation in each part or between parts of the electrical system is interconnected. These oscillations become a major problem for the stability of the power system. Modern electrical control systems require a sustainable balance between power generation and demand varying loads. Power System Stabilizer and Static Var Compensator is a control device that is used to dampen low frequency oscillations and to provide additional feedback signal to stabilize the system. To increase the damping, system equipped with PSS generator that provides additional feedback to stabilize the signal in the excitation system. It is generally that the machine parameters changed by the load, so the dynamic behavior of the different machines at different operating conditions. Design PIDPSS3B power system stabilizer and PIDSVC controller used aim to get performance and optimum damping. Design and optimization of the proposed has the ability to optimally dampen and suppress errors are minimal.
Data warehouse Implementation on Denpasar City Online Community Complaints System I Putu Ari Putra Wijaya; Wahyudin Wahyudin; Made Mataram
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Department of Communications and Informatics, appointed as Executor of Handling Complaint Society in Denpasar City. Over time and more complex data complaints that come in so complicate the data analysis, to overcome the data it is necessary implementation of data warehouse. The method used is Snowflake Schema, this method is chosen because this method is the development of star schema where each dimension table can have sub-table dimension. It aims to minimize data overload. From the results of the implementation in get the conclusion that by implementing data warehouse can facilitate the user in view report in accordance with the desired from summary to detail.
PERANCANGAN DAN PEMBUATAN TETARING BALE GONG DENGAN BAHAN KUAT DAN SENI N. Gunantara; G.M.A. Sasmita; N.K.A. Dwijendra; I.M. Mataram; I.K.G. Harsana
Buletin Udayana Mengabdi Vol 21 No 2 (2022): Buletin Udayana Mengabdi
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.669 KB) | DOI: 10.24843/BUM.2022.v21.i02.p10

Abstract

Bale Gong is a very important building in the temple. This is because every ceremony at the temple is accompanied by a gamelan gong. In every piodalan ceremony at Sindetan Temple always make a tent for the Bale Gong. Tents that are installed are usually made of materials that are easily damaged, namely bamboo, coconut leaves, and tie rope. In making these tents, it takes a lot of people who have expertise and cost of making the tent is quite expensive. After completing the ceremony, the tent is dismantled where the materials cannot be reused at the next piodalan ceremony. This is because these materials will break down quickly. The solution to this problem and at the same time is the goal of this service is in the form of innovation in making tents from strong and durable materials. The materials that will be used are iron and cloth. This iron is used instead of bamboo and cloth is used instead of slepan and tie rope. The final result of this service is has designed and made tent that are strong, aesthetic, comfortable, and easy to assemble and disassemble. The tents that have been made are installed in Bale Gong and then handed over to the residents of Sindetan Temple. Keywords: Bale Gong, Sindetan Temple, tent, design, strong, aesthetic.
Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine I Made Mataram; I Ketut Wijaya
Journal of Electrical, Electronics and Informatics Vol 6 No 1 (2022): JEEI (December 2022)
Publisher : Institute for Research and Community Services Udayana University

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Abstract

Liquid waste cannot be disposed of directly, so it must be processed so as not to cause pollution to the surrounding environment. Both BOD (Biological Oxygen Demand) and COD (Chemical Oxygen Demand) treatment, oxygen is also required so that the quality of the liquid waste is safe for the environment. Liquid waste treatment mostly utilizes aerators to produce high pressure air in liquid waste containing oxygen (O2). The problem that occurs in most wastewater treatment is the determination of the working time of the aerator, resulting in excessive use of electrical energy, but the results of the waste are still within unsafe limits. In general, the operating time of the aerator is manually, this causes the use of electrical energy to be wasteful. This research was conducted, how to develop a control system design for aerator operating time on the quality of liquid waste. The development of the control system used is Sugeno interval fuzzy logic type-2 with 2 (two) input types of Gauss membership function. The advantage of interval fuzzy logic type-2 over type-1 fuzzy logic is the ability to provide more accurate output for higher input uncertainty. The input variables used are waste volume and COD reduction, while the output is the aerator's operating time. The results obtained in the system design can be applied properly and in accordance with the setting point with an average aerator operating time of 6.8 hours and can reduce the use of electrical energy by 38.2%.
ANALISIS RE-SETTING DISTANCE RELAY MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK PADA SALURAN TRANSMISI SISTEM 150 KV GARDU INDUK BANGIL – GARDU INDUK PIER Adi Prasetyo, Wibisono; Karim Mewal, Karel A; Sianturi, Roni; Mataram, I Made; Indra Partha, Cok. Gede
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p28

Abstract

The results of conducting impedance measurements at the Bangil - PIER Substation using the Omicron CPC100 tool show the difference in the results with the factory specification impedance value which exceeds the tolerance limit of 5% of the test results. Re-setting the distance relay is needed so that the relay is able to properly secure the transmission line. In this study, the Artificial Neural Network model was used to re-setting the distance relay. Re-setting was carried out using Analysis Software Based on Modeling and Visualization showed that the relay worked very well in responding to disturbances without overlapping it ranges. The results of calculation using ANN showing a very high level of accuracy of 99.88% and an error rate of 0.00113. Other data analysis indicators used produce the following values: MSE = 0,00002, RMSE = 0,0047 , MAD = 0,00361 , and MAPE = 0,163% which indicates that the Neural Network model that has been made is feasible to use.
KONTROL FREKUENSI BEBAN MENGGUNAKAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) PADA SISTEM HYBRID WIND MIKROHIDRO DAN DIESEL Febryanto Simorangkir, Walter Willy Metyu; Mataram, I Made; Wijaya, I Ketut
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p38

Abstract

This study aims to analyze and compare the performance of three frequency load controller methods in a hybrid generator consisting of three types of energy generation, namely microhydro, diesel and wind. The controller methods being compared are the PID (Proportional Integral Derivative) method, ANFIS (Adaptive Neuro-Fuzzy Inference System), and Fuzzy. This analysis was carried out to improve the efficiency and stability of the hybrid generating system by optimizing the frequency load controller. Frequency instability can occur due to load fluctuations, changes in environmental conditions, or system disturbances. Therefore, the use of an effective and adaptive controller method is very important in maintaining the stability and reliability of the hybrid generator system. The analytical method used in this study involved data collection and computer modeling. The required data includes information on load variations, energy production, and environmental conditions. Furthermore, the PID, ANFIS, and Fuzzy methods are applied to the data to build a frequency load controller model. The results of the analysis show that the three controller methods have different performance in maintaining frequency stability in the hybrid generator system. The PID method provides a fast and accurate response to load fluctuations, but is less adaptive to environmental changes. While the ANFIS method is able to adapt well to changes in system conditions, it requires time for model training. Fuzzy methods can provide control that is more adaptive and tolerant to disturbances, but may require more complex tuning. However, in general, the use of intelligent controller methods such as ANFIS and Fuzzy can improve the performance of hybrid generators by producing more adaptive and stable controls. This research has important implications for the development of more efficient and reliable hybrid power systems. By choosing the right controller method, hybrid power plants can provide energy in a more stable and environmentally friendly manner, and reduce dependence on limited fossil resources. Therefore, this research can make a significant contribution to the development of renewable energy and sustainable development in the future.
RANCANG BANGUN PERBANDINGAN LUAS BATERAI BERBAHAN ALUMINIUM MENGGUNAKAN ELEKTROLIT AIR LAUT BERSIRKULASI TERBUKA DENGAN SISTEM KONTROL DATA TERSIMPAN Gilbert Mario Sembiring; Juan Evan Soaduon Tampubolon; Agus Dharma; I Gusti Agung Putu Raka Agung; I Made Mataram
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p7

Abstract

The utilization of renewable energy in Indonesia remains suboptimal, despite its substantial potential. One promising approach to harness this potential is through aluminum-air batteries using seawater as an electrolyte, offering greater safety and sustainability compared to conventional batteries. However, the performance of aluminum-air batteries can still be improved, particularly in terms of stabilizing the no-load voltage. This study aims to determine the voltage output generated by two battery design methods with identical electrode surface areas: one configuration using four cells measuring 5 × 5 × 0.2 cm arranged in series, and the other using a single cell measuring 10 × 10 × 0.2 cm. Both designs operate with an open circulation system. For testing, both battery configurations were monitored using an Arduino microcontroller as a voltage reader, which captured the voltage output from each battery. The voltage output from the aluminum-air batteries was read by the Arduino through the ADC pin and displayed in real time on a 16x2 I2C LCD screen, with the seawater circulation driven by a DC pump acting as the flow medium. The experimental results showed that the aluminum-air battery with four cells of 5 × 5 × 0.2 cm arranged in series achieved a maximum voltage increase of 255.7%, reaching 4.34 V, compared to the single-cell configuration of 10 × 10 × 0.2 cm, which produced only 1.22 V.
Pengaruh Baterai Air Laut Bersirkulasi Terbuka Terhadap Nilai Tegangan Dibandingkan Waktu Menggunakan Sistem Terkontrol Data Tersimpan Goenardi, Rafael Bryan; Dharma, Agus; Agung, I Gusti Agung Putu Raka; Mataram, I Made; Suryadhi, Putu Ayu Rhamani; Ardana, I Putu
Jurnal Impresi Indonesia Vol. 4 No. 9 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i9.6965

Abstract

Air laut adalah sumber daya alam yang punya potensi besar tapi belum sepenuhnya dimanfaatkan, terutama sebagai energi terbarukan. Salah satu cara memanfaatkan potensi tersebut adalah dengan membuat baterai aluminium-karbon yang menggunakan elektrolit berupa air laut. Baterai aluminium-karbon dapat ditingkatklan kinerjanya dalam hal menjaga stabilitas tegangan saat tidak ada beban. Penelitian ini membahas pengaruh interval waktu sirkulasi elektrolit secara terbuka terhadap kestabilan tegangan pada baterai aluminium-karbon dengan sistem pemantauan berbasis mikrokontroler. Sistem terdiri dari satu sel baterai yang menggunakan aluminium sebagai anode, campuran karbon aktif dan MnO? sebagai katode, serta air laut sebagai elektrolit. Sirkulasi dilakukan menggunakan pompa air DC yang dikendalikan oleh ESP32 dan Arduino Uno dengan interval waktu 5, 7, dan 10 menit. Tegangan baterai dibaca melalui pin ADC dan ditampilkan pada LCD 16x2. Hasil pengujian menunjukkan bahwa metode sirkulasi 5 menit menghasilkan kestabilan tegangan terbaik dengan peningkatan sebesar 3,4%, sedangkan metode 7 menit dan 10 menit menunjukkan penurunan tegangan masing-masing sebesar 8,5% dan 13,9%. Dengan demikian, interval sirkulasi yang lebih pendek terbukti lebih efektif dalam menjaga kestabilan tegangan baterai aluminium-karbon.
Fuzzy Logic Control System for Maximum Power Output of Wind Turbines I Made Mataram
Journal of Electrical, Electronics and Informatics Vol. 9 No. 1 (2025): JEEI (June 2025)
Publisher : Institute for Research and Community Services Udayana University

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Abstract

This study discusses the application of fuzzy logic control systems for maximum power point tracking (MPPT) in wind turbines, focusing on the system's performance. Fuzzy logic control is used to optimize the operation of wind turbines by adjusting the turbine's rotational speed based on input variables such as wind speed and torque, which are often difficult to model mathematically with high accuracy. By employing a fuzzy approach, the system can handle uncertainties and nonlinearities in the wind turbine's operational environment, thus providing more adaptive and responsive control to changes in wind conditions. Experimental results show that the fuzzy control system can improve the power output efficiency of wind turbines by maximizing the generated power under varying wind speeds. The system's performance is evaluated based on parameters such as power output stability, response time, and accuracy in reaching the maximum power point. Simulation and experimental results reveal that the fuzzy control approach offers superior performance compared to traditional control methods, making it an effective alternative for optimal wind turbine operation.