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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 18 Documents
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Search results for , issue "Vol. 7 No. 1 (2021): April" : 18 Documents clear
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.
Hosting Capacity Distribution System Yogyakarta with Ant Lion Optimization: A Case Multiobjective Khomarudin, Riki; Putra, Jimmy Trio; Syahputra, Ramadoni; Chamim, Anna Nur Nazilah
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.v7i1.20473

Abstract

Penetration of hosting capacity in radial type power distribution systems aims to increase the voltage profile on the end customer side. The more electricity customers increase, the more electricity user load growth will increase. This results in a voltage drop on the end customer side in the radial distribution system, characterized by a voltage exceeding the minimum standard operating acceptable voltage. This paper aims to provide solutions to cases in radial grid type power systems in solve voltage drops. The addition of hosting capacity for distributed renewable energy generators is one of the goals to increase the capacity of the electricity system. This research uses the Ant Lion Optimization algorithm method to try to find the optimal location and capacity of Distributed Generation in the electric power distribution system. Penetration hosting capacity injects renewable energy generation in the form of solar cells. The simulation results show that the increased voltage profile in the electric power distribution system exceeds the minimum voltage drop standard. So that in reducing power losses in the radial type network.
Development of Integrated Portable Device and Mobile Apps for Homecare System: Body Temperature and Respiration Rate Honesta, Edgina; Setiawan, Agung W.
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.v7i1.20504

Abstract

A Homecare system is a system that collects patient’ vital signs and health information. Vital signs abnormalities appear several hours before the patient health quality decrease. Therefore, the home care system can be applied to prevent chronic diseases. It is estimated that 25% of chronic disease patients can be prevented by checking vital signs regularly. In this research, an Android-based portable product development that integrates measurements of body temperature and respiration rate is developed. Body temperature will be detected by an infrared temperature sensor. A thermistor will be used to calculate the respiration rate. A thermistor is a resistor whose resistance is dependent on temperature. The accuracy achieved by body temperature measurement is 84% with ±1.37% precision. The accuracy achieved by the respiration rate measurement is 98% with ±3.98% precision. The two gauges are integrated into the microcomputer with a serial communication channel. And then, the measurement results that have been processed on the microcomputer are sent to Android using Bluetooth. Measurement results can be displayed and saved on the Android application. Product portability parameters are measured by weight, size, durability, and power supply. The power supply for this system uses a power bank where the measuring system can be turned on for 3 hours. This research can be applied to a homecare system that collects patients’ vital signs and health information.
Optimization of Applied Detection Rate in the Simple Evolving Connectionist System Method for Classification of Images Containing Protein Syah, Rahmad; Al-Khowarizmi, Al-Khowarizmi
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.v7i1.20508

Abstract

Digital image processing in general to makes images that appear converted to a function of light intensity represented in a two-dimensional plane. The function is a value that will be processed for classification so that the computer is able to recognize the image. Besides classification requires training and testing to produce a small error value and optimal algorithm. The problem of optimization is closely related to the principles and findings of science. Getting the smallest error value by calculating using MAPE for that MAPE calculation is done by using the Detection Rate formula to generalize knowledge in order to find the optimal model. Thus, the application of ANN is very suitable for optimizing classification using the Simple Evolving Connectionist System Method and as the result, the classification of images containing protein with test data is that the eggs work with optimal proof of achieving MAPE without modification of 0.1947% and MAPE which has been modified with the formula detection rate of 0.05554633%.

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