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PLC Human Machine-Interfaces Based System for Vietnam Drip Coffee Maker Application Mardiyah, Nur Alif; Sudrajat, Akhmad Hakam; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1436.908 KB) | DOI: 10.22219/kinetik.v3i1.272

Abstract

The most recent development of digital technology is rapidly growing having a strong impact in daily activities. Automation is a trend in society to make those activities become easier. Moreover, efficiency has played the main role in the automation concept. For example, when making a drink which requires to accurately mix all required ingredients, like sugar, tea, and also coffee, the process may take time. Meanwhile, other more important processes have waited to be carried out. The idea of fasten up these activities may be preferable, exemplified by making an automatic drink maker machine. Moreover, coffee has been popular drink fancied by most people on the society. Hence, due to the high load of the people’s activity, everything is required to be instant and efficient. According to this trend, to provide an efficient, easy, and good management, we need to create an automatic, fast, and accurate system control which can be implemented by using Programmable Logic Controller (PLC) and Human-Machine Interface (HMI). Meanwhile, in this research, Omron PLC and HMI are utilized to build an automatic drink maker device of Vietnamese Drip Coffee designed to resolve the society’s needs of coffee with higher efficiency of serving process. The automatic coffee maker device of Vietnamese Drip Coffee based on PLC and HMI is a device designed to simplify the making process of Vietnamese Drip Coffee in hot condition. This device can be operated by only touching/tapping on its coffee menu choices. The design of this device has the main purpose to operate and test the control system based on PLC and HMI to control and monitoring the automatic process of producing Vietnamese Drip Coffee started from choosing the coffee types until mixing process.
Application Monitoring Design of Water Tank Volume and Clarity System using LabView NI MYRIO Nurdiansyah, Erwin; Hasani, Chasrun; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (159.187 KB) | DOI: 10.22219/kinetik.v2i4.206

Abstract

A traditional controlling and measuring system both in home industry and factory have many constraints especially in the field of quality and efficiency. Operators have to control and monitor while the tank is in the water filling mode. Consequently, an effective system is needed to increase the ease in industry operation. In this work, an application design of water volume in tank and clarity system has presented using RF04 ultrasonic sensor to detect water level; furthermore, a turbidity sensor was also employed to detect water clarity. Both of them were controlled by National Instrument (NI) myRIO-1900. NI myRIO was used in this work as a controller having automatic on/off relay module employed to the water tank and integrated with a personal computer as human machine interface system (HMI). NI LabView software used as HMI in this work was also connected to Wi-Fi module to establish a remote monitoring role. As a result, the simulation shows that water level can be measured utilizing ultrasonic sensor as well as turbidity sensor detection for water clarity.
SOFTWARE DEFINED NETWORKS: A COMPARATIVE STUDY AND QUALITY OF SERVICES EVALUATION Nugroho, Herry Prasetyo; Irfan, Muhammad; Faruq, Amrul
Scientific Journal of Informatics Vol 6, No 2 (2019): November 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i2.20585

Abstract

Software-Defined Network (SDN) as architecture network that separates the control and forwarding functions, so that network operators and administrators can configure the networks in a simple and centrally between thousands of devices. This study is designed and evaluate the Quality of Services (QoS) performances between the two networks employed SDN-based architecture and without SDN-based. MinNet as a software emulator used as a data plane in the network Software Define Network. In this study, comparison of the value of the QoS on the network based on Software Defined Network and traditional network during the test run from the source node is investigated. Network testing by using traffic loads. Traffic loads are used starting from 20Mbps-100Mbps. The result is verified that the QoS analysis of the Software-Defined Network architecture performed better than conventional network architectures. The value of the latency delay on the Software Define Network range between 0,019-0,084ms, and with 0% packet loss when addressed the network traffics of 10-100Mbps.
A SIMPLE REAL-TIME ENERGY ANALYTICS MODEL FOR SMART BUILDING USING OPEN IOT PLATFORMS Nasar, Muhammad; Setyawan, Novendra; Faruq, Amrul; Sulistiyowati, Indah
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.83-90

Abstract

Monitoring energy in buildings can ease us to have a better understanding of electricity consumption patterns to support efficiency and avoid potential damages. However, indoor installations are mostly unmonitored because their panel meters are usually difficult to access. Yet, indoor maintenance tends to be more difficult since the cables are inside the wall, ceiling, or concrete. Internet of Things and big data analytics can be used to track electricity usage either in residential, commercial, or industrial buildings. This paper presents how a simple real-time energy data analytics was built at a low cost and high accuracy to inspect energy fluctuations, anomaly, and its significant pattern. We proposed 3 layers of architecture namely acquisition, transportation, and application management. An electronic module named PZEM004T was used to sense voltage, current, and other electrical parameters. Through a microcontroller ESP8266, the data was processed and sent it to an application layer via an existing wireless network. The actual and historical data of electricity were visualized on high-resolution graphs. The experiment was conducted at our office building. The experimental results showed that data of electrical energy usage can be captured close to realtime and power anomaly and pattern can be figured. Performance and functionality testing showed acceptable use of this system with more than 99% accuracy. This system is intended to empower building managers in evaluating the electrical network balance as well as anticipating damage due to overload, overvoltage, and voltage drop. If this model is widely implemented it will produce big data that is useful for advanced analysis.
Flood Warning and Monitoring System Utilizing Internet of Things Technology Mohd Sabre, Mohamad Syafiq; Abdullah, Shahrum Shah; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 4, November 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.948 KB) | DOI: 10.22219/kinetik.v4i4.898

Abstract

Flooding is one of the major disasters occurring in various parts of the world including Malaysia. To reduce the effect of the disaster, a flood warning and monitoring are needed to give an early warning to the victims at certain place with high prone to flood. By implementing Internet of Thing technology into the system, it could help the victim to get an accurate status of flood in real-time condition. This paper is develop a real-time flood monitoring and early warning system using wireless sensor node at a high prone area of flood. This system is based on NodeMCU based technology integrated using Blynk application. The wireless sensor node can help the victims by detecting the water levels and rain intensity while giving an early warning when a flood or heavy rain occurs. Basically, the sensor node consists of ultrasonic sensor and rain sensor controlled by NodeMCU as the microcontroller of the system which placed at the identified flood area. Buzzer and LED started to trigger and alert the victim when the flood had reached certain level of hazard. Data detected from the sensors are sent to the Blynk application via wireless connection. Victim will get to know the current status of flood and rain by viewing the interface and receiving push notification that available in Blynk application via IOS or Android smartphones. The flood level’s data sent to the email could help various organizations for further improvement of the system and flood forecasting purposes. After a test had been conducted, it was found that this prototype can monitor, detect and give warning with notification to the victim earlier before the occurrence of floods.
Flood Disaster and Early Warning: Application of ANFIS for River Water Level Forecasting Faruq, Amrul; Marto, Aminaton; Izzaty, Nadia Karima; Kuye, Abidemi Tolulope; Mohd Hussein, Shamsul Faisal; Abdullah, Shahrum Shah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i1.1156

Abstract

Intensively monitoring river water level and flows in both upstream and downstream catchments are essential for flood forecasting in disaster risk reduction. This paper presents a developed flood river water level forecasting utilizing a hybrid technique called adaptive neuro-fuzzy inference system (ANFIS) model, employed for Kelantan river basin, Kelantan state, Malaysia. The ANFIS model is designed to forecast river water levels at the downstream area in hourly lead times. River water level, rainfall, and river flows were considered as input variables located in upstream stations, and one river water level in the downstream station is chosen as flood forecasting point (FFP) target. Particularly, each of these input-output configurations consists of four stations located in different areas. About twenty-seven data with fifteen minutes basis recorded in January 2013 to March 2015 were used in training and testing the ANFIS network. Data preprocessing is done with feature reduction by principal component analysis and normalization as well. With more attributes in input configurations, the ANFIS model shows better result in term of coefficient correlation ( ) against artificial neural network (ANN)-based models and support vector machine (SVM) model. In general, it is proven that the presented ANFIS model is a capable machine learning approach for accurate forecasting of river water levels to predict floods for disaster risk reduction and early warning.
Software Defined Networks: a Comparative Study and Quality of Services Evaluation Nugroho, Herry Prasetyo; Irfan, Muhammad; Faruq, Amrul
Scientific Journal of Informatics Vol 6, No 2 (2019): November 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i2.20585

Abstract

Software-Defined Network (SDN) as architecture network that separates the control and forwarding functions, so that network operators and administrators can configure the networks in a simple and centrally between thousands of devices. This study is designed and evaluate the Quality of Services (QoS) performances between the two networks employed SDN-based architecture and without SDN-based. MinNet as a software emulator used as a data plane in the network Software Define Network. In this study, comparison of the value of the QoS on the network based on Software Defined Network and traditional network during the test run from the source node is investigated. Network testing by using traffic loads. Traffic loads are used starting from 20Mbps-100Mbps. The result is verified that the QoS analysis of the Software-Defined Network architecture performed better than conventional network architectures. The value of the latency delay on the Software Define Network range between 0,019-0,084ms, and with 0% packet loss when addressed the network traffics of 10-100Mbps.
Multi-objective Optimization of PID Controller using Pareto-based Surrogate Modeling Algorithm for MIMO Evaporator System Amrul Faruq; Mohd Fauzi Nor Shah; Shahrum Shah Abdullah
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1291.069 KB) | DOI: 10.11591/ijece.v8i1.pp556-565

Abstract

Most control engineering problems are characterized by several objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion, and using Pareto-optimal solutions. This paper proposed a Pareto-based Surrogate Modeling Algorithm (PSMA) approach using a combination of Surrogate Modeling (SM) optimization and Pareto-optimal solution to find a fixed-gain, discrete-time Proportional Integral Derivative (PID) controller for a Multi Input Multi Output (MIMO) Forced Circulation Evaporator (FCE) process plant. Experimental results show that a multi-objective, PSMA search was able to give a good approximation to the optimum controller parameters in this case. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) method was also used to optimize the controller parameters and as comparison with PSMA.
Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller Muhammad Irfan; Machmud Effendy; Nur Alif; Lailis Syafaah; Ilham Pakaya; Amrul Faruq
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.022 KB) | DOI: 10.11591/ijpeds.v8.i3.pp1176-1183

Abstract

Generally, Electronic Load Control (ELC) used in micro hydro power plant (MHPP) to controls the voltage between consumer load and a dummy load, still detects one parameter voltage or frequency generator only. Whereas in reality, any changes in the load on consumers, generator voltage and frequency also changed. When the consumer load down the electric current will be supplied to the dummy load, amounting to decrease in consumer load. When there is a transfer load, there will be distortion voltage and frequency, thus a special methods to reduce distortions by speeding up the process of transferring the electric load is needed. The proposed of this study is using fuzzy logic algorithm.To realize such a system, a comparison tool model of load control digital electronic fuzzy logic controller (FLC) and Proportional Integrator (PI) is required. This modeling using matlab program to simulate, the simulation result shows that the ELC based  on fuzzy logic controller is better than conventional PI control, it seen from fast response to steady state condition.
A Design of Electrical Permanent Magnet Generator for Rural Area Wind Power Plant Muhammad Irfan; Ermanu Azizul Hakim; Diding Suhardi; Nur Kasan; Machmud Effendy; Ilham Pakaya; Amrul Faruq
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (633.22 KB) | DOI: 10.11591/ijpeds.v9.i1.pp269-275

Abstract

This paper aims to design and simulate an Electrical Permanent Magnet Generator (EPMG) for rural area wind power plant. The generators available in the market mostly are a kind of high speed induction generator which requires high rotational speed and an electricity to generate a magnetic field. In this project, a radial flux generator is designed to have a low speed rotation using permanent magnet type Neodymium Iron Boron (NdFeB). Software used for designing is Finite Element Method (FEM) Magnet software basis. The model also examined with Simulink/Matlab environment. Extensive modifications are applied to get optimum result by changing generator diameter, number of coils, the copper wire diameter, number of poles, and used slots. The simulation results obtained generator speed 500rpm, the average series voltage is 145 Vrms, the generator requires 18cm diameter, number of turn for each coil is 55, diameter of the copper wire used is 0.6mm, and number of poles is 8 pairs and 12 unit slots.