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Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
Published by Universitas Ahmad Dahlan
ISSN : 23383070     EISSN : 23383062     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
JITEKI (Jurnal Ilmiah Teknik Elektro Komputer dan Informatika) is a peer-reviewed, scientific journal published by Universitas Ahmad Dahlan (UAD) in collaboration with Institute of Advanced Engineering and Science (IAES). The aim of this journal scope is 1) Control and Automation, 2) Electrical (power), 3) Signal Processing, 4) Computing and Informatics, generally or on specific issues, etc.
Arjuna Subject : -
Articles 601 Documents
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Water Flow Measurement-Based Data Acquisition Using Arduino Microcontroller and PLX-DAQ Software Benriwati Maharmi; Bertanida Widyastomo; Fadhli Palaha
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.23637

Abstract

The data acquisition for monitoring the water flows in real-time, which is available at any time, is needed for water management purposes. This paper aims to build a prototype of a water flow measurement system in an open channel of a rectangular weir box design using the American Standard Testing and Material (ASTM). This research contribution is a development of a water flow measurement, which can be used as a simulator for studies on measuring water discharge in real cases in the field. More, this instrument is based on the data logger using Arduino, which is designed at a low cost and is easy to use. This water flow equipment can be measured in real-time, so that data information can be directly obtained for analysis. The design of a data acquisition system can display water discharge data in real-time from time to time and allows data storage (data logger) as historical data that can be displayed whenever needed. The Arduino UNO ATMEGA 328 microcontroller was programmed to read the HC-SR04 water level sensor on a distance-based weir box displayed on the LCD. Monitoring and recording of data were displayed on the Parallax Data Acquisition tool (PLX-DAQ) software add-on for Microsoft Excel in real-time. The prototype was able to provide a real simulation of the water flow calculation process until the maximum design capacity of 784,384.87 liters per day. Tests on the overall performance of the water flow measurement system were carried out using flowing water media at 3 different flow conditions based on time. From the average log data of the tests carried out, the deviation of the measurement data against the ASTM calculation theory on average of 0.8 liters/minute. These results were quite good because of the 16,502 liters of water measured. The difference in the calculation results was only 1.003 liters.
Production Stock Monitoring System at PT Yamaha Indonesia Using the Scrum Method Rizkina Maulida Safira; Chanifah Indah Ratnasari
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 2 (2022): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i2.23638

Abstract

Digital transformation brings changes to the industrial sector to become Industry 4.0. PT Yamaha Indonesia is a piano-manufacturing company that also uses technology to help monitor the production of piano parts. Production stock monitoring is carried out in order to meet the company's production targets. As a result, the company's stock can meet customer demand, keeping inventory costs to a minimum. Furthermore, it has the potential to optimize operational production time. Previously, the production monitoring procedure was done manually. Recordings are made every few hours or so to keep track of the data. Due to the manual recording of each step of the piano's part-making process, productivity and the ability to perform other tasks are slowed down. To address these issues, PT Yamaha Indonesia, through this research, developed a production stock monitoring system. This system was built using the Scrum method and implements data visualization using chart.js to facilitate monitoring. The research contribution is analyzing user needs until the production stock monitoring system is built so that monitoring the manufacturing process can be simplified and more efficient, and it can be done in real-time.
Design of a 1x4 Optical Power Divider Based on Y-Branch Using III-Nitride Semiconductor Nauval Franata; Retno Wigajatri Purnamaningsih
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.23646

Abstract

Optical communications are identified as a technology that is able to meet future demands. As a passive component of optical communication, optical power dividers play an essential role. We propose a novel 1x4 optical power divider design, which is a combination of an optical power divider design using a Y-branch and an optical power divider using rectangular waveguides utilizing mode coupling phenomena from our previous researched designs. The 1x4 optical power divider design using three Y-branches and utilizing mode coupling phenomena is described in this work. The design consists of three sections: an input Y-branch, rectangular waveguides, and two output Y-branches. By utilizing mode coupling phenomena with 3 rectangular waveguides, the optical power was transferred from one waveguide to its adjacent, so we obtained a wider splitting angle at the input Y-branch. The design was optimized using the beam propagation method (BPM) at a wavelength for optical communication of λ = 1.55 µm. We optimized various parameters such as the width and thickness of the waveguide, splitting angles, coupling gaps, and coupling lengths by doing numerous experiments. The result shows that the proposed design was successfully split into four outputs with 0.14 dB power imbalance at four output ports and 0.12 dB excess loss through the design. The excess loss and power imbalance at varied wavelengths were also observed. The distribution of excess loss and power imbalance is almost stable through the C-band range (1530-1565 nm). The proposed design shows the possibility of a new wide-angle optical power divider design and demonstrates the development possibilities of optical interconnections at wavelengths of 1530-1565 nm.
Capsicum Apps: Creating Innovation Space of Chili Supply Chain through the Triple Helix Model in Central Java Indonesia Suko Irawan; Sri Astuti; Nanda Mei Istiqomah; Ernoiz Antriyandarti
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.23650

Abstract

The paper aims to clarify the relationship between the Triple Helix concept and the logistic cultivation Distribution of chilli in Central Java. It proposes modelling the education and distribution transformation process through Capsicumm apps in industrial 4.0. This study used a qualitative approach to seeking the truth by discovering the essence. Conducted participant observation approach, the researcher, is directly involved as active agents and sources of information, participates for comprehensively discuss the role of Triple Helix Model which has been developed by the Value Chain Center (VCC) in the development of chilli supply chain management which involves the small farmers to fulfil the global market demands. Chilli is one of the essential commodities in Indonesia, and every region has different conditions of the vegetable trading system. The difference is caused by the additional amount of marketing agencies and supply chain management roles. Central Java is the province that has the longest chain of red chilli distribution. Chilli production that fluctuates annually causes the unstable selling price of chilli commodities, affecting chilli farmers' welfare and inflation. The paper contributes in providing empirical insights about the role of the Triple Helix Concept and how to change information In the industrial 4.0 era to optimize cultivation and logistic Distribution Chilli through Capsicum Apps.
Analysis of Electrical Energy the Effect of Using a Smartphone-Based Water Pump Control System Controller (Case Study of Yulihamri's Rent at Merak Sakti Road) Antonius Rajagukguk; Iman Sahrobi Tambunan; Anhar Anhar; Alfian Ma'arif
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.23659

Abstract

The development of science and technology will increasingly have an impact on human life, especially electronic devices at home. In-home reservoirs, commonly, the owner of the water pump cannot detect the level of the water reservoir in his house due to no automation in the water pump. This study seeks to design a device that can control one water pump for filling three reservoirs, where the reservoir filling path will be regulated by a solenoid valve. It also aims to increase the efficiency of electrical energy in the water pump and be monitored by homeowners. The research was conducted at Yulihamri's rented house on Merak Sakti Road. In testing the measurement of electrical energy without using a control, the results obtained in the first reservoir of 1253.99 Wh, 2072.83 Wh, and 2136.27 Wh in the first, second, and third reservoirs, respectively. Meanwhile, in testing the measurement of electrical energy using the control system, the results obtained on all reservoirs in sequence are 1234.70 Wh, 1754.52 Wh, and 1644.12 Wh. The electric energy efficiency of the water pump after using the control system enhance by 15%. The contribution of this research is to reduce the use of excessive electrical energy due to the filling of water that exceeds the storage capacity so as to make it inefficient for the use of electrical energy as well as the water released. The research also limits the use of electrical energy at the end of the month, which makes this system more efficient compared to other systems.
Pitch Blade Control Prototype Design for Vertical Axis Wind Power Plant Antonius Rajagukguk; Winggi Arafanaldy; Anhar Anhar; Nurhalim Nurhalim
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.23662

Abstract

One alternative energy that is easy and can be used is wind. This energy is utilized through wind turbines which have two general types, namely horizontal and vertical axis wind turbines. This wind turbine can move by utilizing the energy available in the wind to rotate the turbine. The problem with wind turbines is self-starting is difficult to achieve. This can be caused by several factors, such as slow wind speed and erratic wind direction. In addition, wind turbines also have low-efficiency values. Therefore, our contribution to this research is to design a blade controller on a vertical axis wind turbine. This blade control is designed by utilizing the pitch angle by using actuators that are applied to each blade based on the Proportional, Integral & Derivative (PID) algorithm. The PID algorithm is used to find the appropriate pitch angle value on a vertical axis wind turbine. The effect of the pitch angle on the wind turbine serves to maintain the mechanical power value by the available power in the wind. This research was conducted using a simulation method (MATLAB). In this study, it was found that this wind energy conversion simulation produces maximum mechanical power when the wind speed varies is 1723 Watt and when the wind speed is 7 m/s, mechanical power achieved is 362.595  Watt.
Basketball Activity Recognition Using Supervised Machine Learning Implemented on Tizen OS Smartwatch Rosa Andrie Asmara; Nofrian Deny Hendrawan; Anik Nur Handayani; Kohei Arai
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.23668

Abstract

Basketball Activity Recognition (BAR) in sports teams, especially in basketball, to make statistical analysis of player activity data is currently a very important thing. BAR is one part of sports science that recognizes the movement of players in each activity, such as dribbling, passing, etc. Sport science in the sports business is used as one of the factors of coaches and management to determine strategy, starter line-up, check the condition of players after injury, etc. the current technology to recognize player activity only depends on the object detection method of players' through video recordings of players is considered lacking because it only sees the perspective of the coach to reduce players as starter line-up and there is no logical calculation of why players are not installed as starter line-up. One method for recognizing player activity is using a wearable device that has an accelerometer and gyroscope sensor with high accuracy. The values from those sensors will be classified and recognize their activity, i.e., Dribbling, Passing, and Shooting. Smartwatch is one of those wearable devices that meet those criteria. For the activity classification process, the use of the K-NN classification method is the most appropriate because it has a low computational level that is in accordance with the smartwatch specifications. The results of the classification using accelerometer sensor data and gyroscopes with K-NN as an activity recognition method have an accuracy of 81.62%, and player activity recognition applications using accelerometer and gyroscope sensors can also record the results of player movements for further analysis by management and coaches. This is the advantage of this BAR application compared to the recognition of player activity using object detection on video recordings.
Hybrid Approach-RSMOTE for Handling Class Imbalance with Label Noise Hartono Hartono; Erianto Ongko
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.23684

Abstract

The class imbalance problem is the main problem in classification. This issue arises because real-world datasets frequently exhibit an imbalance as a result of a class with more instances than other classes. In handling class imbalance, a Hybrid Approach that blends data-level and algorithm-level approaches produce good results. However, apart from the class imbalance, which reduces classification accuracy, the complexity of the data also has an effect. The complexity of this data causes a minority noise sample which lies between the minority and the majority. In order to determine how close minority samples are to their homogeneous and heterogeneous nearest neighbors, it is necessary to calculate the relative density. The greater the proximity to the homogeneous nearest neighbors, the greater the relative density, which causes the minority samples to be in a safe state but otherwise be categorized as noisy samples. This research will combine the application of the Hybrid Approach with A self-adaptive Robust SMOTE (RSMOTE), which is an adaptive method from SMOTE that applies the concept of relative density in the over-sampling process on minority samples. The research contribution is to implement the Hybrid Approach-RSMOTE in handling class imbalance with noise by using relative density in over-sampling and also to improve classification performance. The results showed that the Hybrid Approach-RSMOTE and Hybrid Approach-SMOTE had given good results in handling class imbalance. However, the Hybrid Approach-RSMOTE gave better results in the Precision, Recall, F1-Measure, and G-Mean and showed significant differences. Based on the results of the study, it can be stated that the performance of the Hybrid Approach in handling class imbalance is influenced by the selection of the over-sampling method. The results show that RSMOTE can be considered an over-sampling method in the Hybrid Approach.
Proposed Modification of K-Means Clustering Algorithm with Distance Calculation Based on Correlation Muhammad Ibnu Choldun Rachmatullah
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.23696

Abstract

Clustering is a technique in data mining that groups a set of data into groups (clusters) of similar data. In general, there are two methods of clustering, namely the hierarchical method and the partition method. One of the most commonly used partition clustering methods in clustering is K-Means. The use of K-means method has been widely used in various fields with various purposes. Many research has been carried out to improve the performance of the K-Means method, for example, by modifying the method of determining the initial centroid or determining the appropriate number of clusters. In this research, the modification of the K-Means algorithm was carried out in calculating the distance by considering the correlation value between attributes. Attributes that have a high correlation value are assumed to have similar characteristics so that they determine the location of data in a particular cluster. The steps of the proposed method are: calculating the correlation value between attributes, determining the cluster centroid, calculating the distance by considering the value of correlation, and determining the data into certain clusters. The first contribution of this research is to propose a new distance calculation technique in the K-Means algorithm by considering correlation and the second contribution is to apply the proposed algorithm to a specific dataset, namely Iris dataset. In this research, the performance calculation of the modified algorithm was also carried out. From the experimental results using the Iris dataset, the proposed modification of the K-Means algorithm has fewer iterations than the original K-Means method, so that it requires less processing time. The original K-Means method requires 8 iterations, while the proposed method requires only 6 iterations. The proposed method also produces a higher accuracy rate of 89.33% than the original K-Means method, which is 82.67%.
Development of Proximity-Based COVID-19 Contact Tracing System Devices for Locally Virus Spread Prevention Ainul Fitriyah Lubis; Basari Basari
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 1 (2022): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i1.23697

Abstract

COVID-19 contact tracing is a preventive solution to slow the spread of the virus. Several countries have implemented manual contact tracing as well as digital tracking using smartphone applications. A proximity-based COVID-19 contact tracing system device using BLE (Bluetooth Low Energy) technology focuses on tracking and controlling the spread of the virus in local communities. The devices consist of a signal sending device (tag) and a signal receiving device (scanner). Suppose a system device is implemented in a factory. The tag will be used by employees by placing it in the front pocket of the factory employee's clothes or hooked on the shirt. The tag will continuously send a signal that will be read by the scanner. This received signal with the received signal strength indicator (RSSI) format will be used to calculate the distance between the scanner and the tag. Then the distance will be used to determine the coordinate point of the tag, with calculations using the trilateration algorithm. Therefore, the distance between tags can be obtained, while with signal fluctuation, the actual coordinate point cannot be obtained, yet proximity information can still be obtained by filtering distance data at a specified time interval that is less than the threshold value of the distance, 2 meters, then comparing the data with the overall data, resulting in a percentage value. A high percentage, above 80%, indicates the closeness between tags.

Page 54 of 61 | Total Record : 601

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