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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 505 Documents
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Design and Optimization of a Programmable Logic Controller-Based Monitoring System for Machine Parameters in a Frame Assembly Line Prasetyani, Lin; Ramadhani, Ahmad Fadlan; Setiyadi , Surawan; Hidayat, Muhammad
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i3.31040

Abstract

This research addresses the challenge of machine parameter monitoring in the frame assembly line of a motorcycle manufacturing facility. In this process, several machines operate in parallel to integrate key motorcycle components such as engine units, wheels, and body frames. A critical issue identified was that seven machines used standalone controllers that lacked Ethernet communication, limiting real-time monitoring and data acquisition of vital parameters such as status, downtime, and cycle time. To solve this problem, additional programmable controllers were installed using ladder logic programming to retrofit the non-networked machines. These upgrades enabled continuous data transmission and real-time parameter monitoring via a centralized system. The method involved developing a structured architecture capable of collecting, processing, and visualizing machine condition indicators. The research contribution is (1) the successful integration of isolated machines into a unified monitoring network using low-cost PLC retrofitting and (2) the deployment of a register-based monitoring system that supports predictive maintenance through real-time alerts. The system was tested in a live production environment, where more than 80 parameter registers were monitored successfully. Results demonstrated improvements in machine utilization and maintenance response time, with reductions in unplanned downtime and better traceability of machine conditions. The new system improved operational transparency and supported data-driven decision-making for maintenance planning. In conclusion, the implementation of this monitoring system optimized industry 4.0 on the supervision of machine parameters and significantly enhanced production reliability and efficiency in the frame assembly line.
TekenToken Development: IoT based Cartesian Robot System for Prepaid Electricity Token Recharging Automation Puji, Muhammad Nurul; Eduard, Christoper; Fico
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i3.30332

Abstract

Manual input of the prepaid token on the electricity meter is prone to several drawbacks, such as the possibility of entering incorrect numbers or dealing with an electricity meter that is hard to reach, which makes the process inefficient and reduces precision. This may result in billing issues or an interrupted power supply. Automating the electricity recharging process will eliminate the need for manual input, making it much more efficient and significantly improving accuracy. TekenToken is an innovation in the field of robotics designed to automate the process of electricity recharging through prepaid tokens. This system utilizes a Cartesian robot, which enables precise movement along the X, Y, and Z axes to press the buttons on the electricity meter. TekenToken also incorporates an IoT system using an online database like Firebase, connecting the system to a mobile application that allows for long-distance remote control. By implementing a flexible system such as a Cartesian robot and IoT, TekenToken can also be modified for application in many other fields.
Color Image Denoising Methods: A Laconic Review Younis, Zainab; Mohd Rahim, Mohd Shafry; Mohamed , Farhan Bin
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i3.31200

Abstract

Color image denoising is an essential process in image processing, intending to remove noise from images while preserving the important image details, for instance, edges, resolution, and accuracy. This paper presents an experiment-based review of the recent methods of color image denoising algorithms, focusing on their strengths, limitations, complexity, findings, accuracy, and comparative performance. Therefore, eight methods in color image denoising with different concepts were reviewed and evaluated under a reliable experimental environment. The evaluation was conducted using a dataset collected from three different sources, such as a professional DSLR camera, various mobile devices, and the MIT-Adobe database, tested under different real-world noise conditions. The reviewed methods are assessed by three preceding metrics were selected as no-reference metrics to evaluate real color images where clean reference images are unavailable: fast image sharpness estimation (FISH), no-reference structure similarity (NRSS), sparsity, and dominant-orientation quality index (SDQI), objectively, along with subjective visual analysis. The results demonstrate that the Total Variation with Split Bregman (TVSB) algorithm achieved the highest performance and exceeded the other methods. Reviewed methods showed competitive results in fine structure, details, and preserving edges.  Additionally, the study discusses future recommendations for improving the effectiveness of these algorithms. Finally, this research is carried out systematically and empirically and focuses on the merits and demerits of their performance. It provides stepwise guidance on how to systematically target a particular approach in the color image denoising process, which highlights the practical and theoretical disparity. Moreover, it serves as a rich and source for scholars intending to develop algorithms in this domain.  
Measurement of Unsupported Applications used in Indonesia Popular Websites Nugroho, Pascal Alfadian; Steven, Hizkia
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.18512

Abstract

A security vulnerability exists in unsupported systems, and using applications supported by their maintainer help to reduce attacks based on such vulnerabilities. However, website administrators may ignore this exercise due to various reasons. This research measures the top 1,500 websites in Indonesia on how much of them are using supported applications to prevent such attacks, based on the application version number. The measurement is performed automatically using the Wappalyzer tool. From such measurement, we found that most of the applications detected do not contain version information (70%) or invalid version number (11%). We also found that more than half of the websites measured contain at least one unsupported application. In terms of the applications used, we found that many Nginx users worryingly do not keep their server version updated, while Apache and WordPress did a good job in keeping their users using the most recent version. This study highlights the need for website administrators to have their applications up to date to the supported versions, as well as for application developers to promote application updates to their users.
Systematic Literature Review: Current Products, Topic, and Implementation of Graph Database Rizaldy, Adhy; Fahriah, Sirli; Hartono, Nahrun
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.19007

Abstract

Planning, developing, and updating software cannot be separated from the role of the database. From various types of databases, graph databases are considered to have various advantages over their predecessor, relational databases. Graph databases then become the latest trend in the software and data science industry, apart from the development of graph theory itself. The proliferation of research on GDB in the last decade raises questions about what topics are associated with GDB, what industries use GDB in its data processing, what the GDB models are, and what types of GDB have been used most frequently by users in the last few years. This article aims to answer these questions through a Literature Review, which is carried out by determining objectives, determining the limits of review coverage, determining inclusion and exclusion criteria for data retrieval, data extraction, and quality assessment. Based on a review of 60 studies, several research topics related to GDB are Semantic Web, Big Data, and Parallel computing. A total of 19 (30%) studies used Neo4j as their database. Apart from Social Networks, the industries that implement GDB the most are the Transportation sector, Scientific Article Networks, and general sectors such as Enterprise Data, Biological data, and History data. This Literature Review concludes that research on the topic of the Graph Database is still developing in the future. This is shown by the breadth of application and the variety of new derivatives of GDB products offered by researchers to address existing problems.
Jatropha Curcas Disease Identification using Random Forest Saragih, Triando Hamonangan; Wijayaningrum, Vivi Nur; Haekal, Muhammad
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20141

Abstract

As one of the most versatile plants, Jatropha curcas is spread in various regions around the world because of the great benefits it provides. However, Jatropha curcas is easily attacked by viruses which then cause damage to the plant, such as yellowing leaves and secreting sap, making it necessary to identify Jatropha curcas disease to deal with the problem as early as possible so that the losses incurred are not too large. An expert system was built to be able to identify Jatropha curcas disease by adopting expert knowledge. The use of the Random Forest algorithm as one of the classification algorithms was applied in this study. By using a random forest, several disease prediction classes are generated by each decision tree that has been formed. The disease class with the most votes was used as the final result. In this study, the data used were 166 data with 9 diseases and 30 symptoms. The results showed that Random Forest outperformed other algorithms such as Fuzzy Neural Network and Extreme Learning Machine with an accuracy of 98.002% using the composition of training data and test data of 70:30.
Using Unlabeled Data Set for Mining Knowledge from DDB F. Hassan, Azhar
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20164

Abstract

In this paper, two algorithms were introduced to describe two algorithms to describe and compare the applying of the proposed technique in the two types of the distributed database system. The First Proposed Algorithm is Homogeneous Distributed Clustering for Classification (HOMDC4C), which aim to learn a classification model from unlabeled datasets distributed homogenously over the network, this is done by building a local clustering model on the datasets distributed over three sites in the network and then build a local classification model based on labeled data that produce from clustering model. In the one computer considered as a control computer, we build a global classification model and then use this model in the future predictive. The Second Proposed Algorithm in Heterogeneous Distributed Clustering for Classification (HETDC4C) aims to build a classification model over unlabeled datasets distributed heterogeneously over sites of the network, the datasets in this algorithm collected in one central computer and then build the clustering model and then classification model. The objective of this work is to use the unlabeled data to introduce a set of labeled data that are useful for build a classification model that can predict any unlabeled instance based on that classification model. This was done by using the Clustering for Classification technique. Then presented this technique in distributed database environment to reduce the execution time and storage space that is required.
Design and Implementation of a Smart, Interactive and Portable System for Monitoring of Human Vital Signs Shahadi, Haider Ismael; Kadhim, Maha Khalid; Almeyali, Nawal Mousa; Hadi, Ali Thamir
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20209

Abstract

Smart systems are characterized by their efficiency, high accuracy, and cost reduction. One of the important fields in which the smart system is used is health care, especially monitoring of human vital signs. In general, the conventional patient monitor is expensive, cannot be used for remote monitoring, and non-interactive. In many situations, it requires remote and portable monitoring for patients, such as in case of the area is outside the medical services, infected diseases (e.g., COVID-19, 20), and difficulties of a patient transferred. This paper proposes a smart, interactive, and portable monitor for vital human signs based on the internet of things (IoT). The proposed monitor is cheap and easy to use either directly by doctors and nurses or remotely by any person. The proposed system is designed using ESP32-microcontroller and vital-sign sensors. It measures three important vital signs, including heart rate, body temperature, and Electrocardiography (ECG), as well as the environment temperature of the patient. The measured signs can be monitored from anywhere in the world through a smartphone application in real-time. Furthermore, the doctor can send instructions and descriptions to the patients in real-time using the same phone application that is designed in this work.Smart systems are characterized by their efficiency, high accuracy, and cost reduction. One of the important fields in which the smart system is used is health care, especially monitoring of human vital signs. In general, the conventional patient monitor is expensive, cannot be used for remote monitoring, and non-interactive. In many situations, it requires remote and portable monitoring for patients, such as in case of the area is outside the medical services, infected diseases (e.g., COVID-19, 20), and difficulties of a patient transferred. This paper proposes a smart, interactive, and portable monitor for vital human signs based on the internet of things (IoT). The proposed monitor is cheap and easy to use either directly by doctors and nurses or remotely by any person. The proposed system is designed using ESP32-microcontroller and vital-sign sensors. It measures three important vital signs, including heart rate, body temperature, and Electrocardiography (ECG), as well as the environment temperature of the patient. The measured signs can be monitored from anywhere in the world through a smartphone application in real-time. Furthermore, the doctor can send instructions and descriptions to the patients in real-time using the same phone application that is designed in this work.
Monitoring and Control Food Temperature and Humidity using Internet of Things Based-on Microcontroller Riadi, Imam; Syaefudin, Rizal
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20213

Abstract

Tempe is a traditional Indonesian food that uses tempeh mushrooms (Rhizopuz Oryzae) to make it. Tempeh fungus on soybeans requires a certain temperature and humidity in order to grow properly. In this study, a tool was built to monitor and control temperature and humidity with an online system using the ESP8266 WiFi Module with the ESP8266-01 series, which then the data will be sent to Thingspeak and Thingsview. The method used in this study through several stages, including Hardware Design, Internet of Things (IoT) Design or Network Architecture, Testing, and Measuring temperature and humidity values. The hardware design includes Microcontroller-based system hardware to help control temperature and humidity. IoT design or network architecture steps to make connections between hardware and software, while the last stage is testing and measuring the temperature and humidity values to determine the accuracy of the system being made. The Temperature and Humidity settings are carried out automatically using the Arduino Board to control Heater and Fan. The average temperature and humidity values generated in the measurement were 33.11 C and 87.74%. This tool has a measurement accuracy compared to other measuring instruments with a standard deviation of temperature error of 0.8708 and humidity 1.1254 for 180 data samples for 3 days. In this study, the system functions properly with the control system functioning properly, and the reading of the value produces a good standard deviation.
Design of an Adaptive Super-Twisting Control for the Cart-Pole Inverted Pendulum System Rizal, Yusie; Wahyu, Muhammad; Noor, Imansyah; Riadi, Joni; Feriyadi, Feriyadi; Mantala, Ronny
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 7 No. 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20420

Abstract

A cart-pole inverted pendulum system is one of the underactuated systems that has been used in many applications. This research aims to study the design and the effectiveness of the Adaptive Super-Twisting controller to stabilize the system by comparing it with other previous control methods. A stabilization control of the pendulum upright using the Adaptive Super-Twisting algorithm (ASTA), was investigated. The proposed controller was designed based on the decoupling algorithm method to solve the coupled control input in the system model. We then compared the proposed stabilizing controller with first-order sliding mode control (FOSMC) and Super-Twisting algorithm (STA) in Matlab/Simulink simulation and realistic computer simulation. We developed the computer simulation using anyKode Marilou software, which adopted Open-Dynamic Engine (ODE) as a physics engine. In Matlab/Simulink simulation, we considered three different scenarios: a nominal system, a system with uncertainty, and a disturbed system. Meanwhile, in a computer simulation, we only presented the comparison of different controllers' performances for the realized system. Both results showed that the three controllers could stabilize the pendulum upright with a 0.1 rad initial angular position around the vertical axis. Under the same conditions, the ASTA and STA controllers had similar performances; they both have less chattering and faster convergence than the FOSMC approach. However, the FOSMC approach had the least energy delivered and smallest errors than the other two approaches.

Page 41 of 51 | Total Record : 505

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