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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 503 Documents
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Machine Vision-based Obstacle Avoidance for Mobile Robot Nuryono Satya Widodo; Anggit Pamungkas
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 2 (2019): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.364 KB) | DOI: 10.26555/jiteki.v5i2.14767

Abstract

Obstacle avoidance for mobile robots, especially humanoid robot, is an essential ability for the robot to perform in its environment. This ability based on the colour recognition capability of the barrier or obstacle and the field, as well as the ability to perform movements avoiding the barrier, detected when the robot detects an obstacle in its path. This research develops a detection system of barrier objects and a field with a colour range in HSV format and extracts the edges of barrier objects with the FindContoure method at a threshold filter value. The filter results are then processed using the Bounding Rect method so that the results are obtained from the object detection coordinate extraction. The test results detect the colour of the barrier object with OpenCV is 100%, the movement test uses the processing of the object's colour image and robot direction based on the contour area value> 12500 Pixels, the percentage of the robot making edging motion through the red barrier object is 80% and the contour area testing <12500 pixel is 70% of the movement of the robot forward approaching the barrier object.
Prototype of Smart Lock Based on Internet Of Things (IOT) With ESP8266 Firza Fadlullah Asman; Endi Permata; Mohammad Fatkhurrokhman
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 2 (2019): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.756 KB) | DOI: 10.26555/jiteki.v5i2.15317

Abstract

This study aims to design a prototype house that has an automatic safety system installed that has two inputs for its control. The developed system can be controlled via an Android or IOS smartphone that has the Blynk application installed, or by using a PIR sensor installed in the circuit. The output in this series of systems is solenoid lock which is used as a door lock for the house later. This research refers to the ADDIE development model with details: (1) Analyze, (2) Design, (3) Development, (4) Implementation and (5) Evaluate. Based on the testing of each component used, the results are obtained in the form of PIR sensor readings with a radius of 90cm with an angle of 120o with a voltage of 5V, a solenoid lock that uses a 12V voltage, a pin from the Wemos D1 R1 board that has errors on its 2 input / output pins, and a battery that can be used as a backup power source when the main power source goes out for more than 5 hours.
The Combination of Naive Bayes and Particle Swarm Optimization Methods of Student’s Graduation Prediction Evi Purnamasari; Dian Palupi Rini; Sukemi Sukemi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 2 (2019): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.875 KB) | DOI: 10.26555/jiteki.v5i2.15272

Abstract

This research conducted classification testing on the study case of student graduation prediction in a university. It aims to assist the university in maintaining academic development and in finding solutions for improving timely graduation. This study combined two methods, i.e., Naive Bayes and Particle Swarm Optimization, to produce a better level of accuracy. The Naive Bayes method is a statistical classification method used to predict a student's graduation in this study. That will be further enhanced using the Particle Swarm Optimization method to produce a better level of accuracy. There are 10 (ten) samples in this study randomly selected from the alumni data of UIGM students in 2011-2014. From the test results, this research resulted in an accuracy value of 90% from the Naive Bayes algorithm testing, after testing the Naive Bayes with Particle Swarm Optimization, which produced an accuracy value of 100%. The conclusion obtained from the results is the Naive Bayes method has a higher accuracy value if combined with Particle Swarm Optimization. Thus the university can more easily predict whether or not the students graduate on time for the upcoming graduation period. The results of this test prove that to predict student graduation using the Naive Bayes method with Particle Swarm Optimization is appropriate.
Web-Based Dashboard for Monitoring Penetration Testing Activities Based on OWASP Standards Yansyah Saputra Wijaya; Imaniar Ramadhani
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.17019

Abstract

Financial Services Authority Regulation concerning Application of Risk Management in the Use of Information Technology by Commercial Banks which requires Banks to ensure information security to maintain which must be done periodically at least once a year. The most popular way to have security is through pentest, to determine an application whether it is safe and successfully passed the pentest, we need a measurement standard, specifically for web applications, the standard commonly used is OWASP. However, OWASP has a very large list of vulnerabilities, so to simplify the process of monitoring the pentest process in an organization we need a tool that can visualize existing vulnerabilities from various applications to be more easily measured, calculated, and monitored during the pentest process. The tool commonly used to present information to managers is a Dashboard. The dashboard produced in this research is the monitoring dashboard of pentest monitoring activities, it is made using the PHP programming language so that it is web-based and uses the OWASP standard until 2017. The system is also capable of displaying application vulnerabilities based on their frequency of appearance.
Bellman-Ford Algorithm for Completion of Route Determination: An Experimental Study Ari Muzakir; Hutrianto Hutrianto
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.16943

Abstract

In this study a review of the existing Bellman-Ford Algorithm by conducting tests to see the accuracy of the route data or the shortest route. In this study there are fifth locations that will be tested to see whether the route is really in accordance with the actual situation. The shortest path is part of the field of graph theory. If a graph has weight, then in the case of the shortest route, how can we do the minimization of the total weight of the route. This is what was done in this study to see how optimal the Bellman-Ford Algorithm is in handling the shortest route so that it is more accurate. The fifth Mall data is the most frequently visited by people in the city of Palembang. The five malls are Opi Mall, International Plaza, Palembang Indah Mall, Palembang Square and Palembang Icon. The conclusion from the results of this study is that the Bellman-Ford Algorithm is more complicated to do in the search for calculations manually on the completion of the Traveling Salesman Problem (TSP), but this algorithm is better in terms of finding optimal solutions and solving singe pair routes.
Design of Logistic Transporter Robot System Lora Khaula Amifia; Mochammad Iskandar Riansyah; Putu Duta Putra
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.16750

Abstract

The diversity of technology in the robotics world is currently developing a lot, especially in logistics distribution. The distribution of logistics goods using robotic power continues to develop towards high artificial intelligence, ensuring warehouse delivery management and intelligence implementation with challenging tasks. Autonomous robots are a community of intelligent robotic systems that can be seen as prototypes. It is an intelligent management and service system of the future that can reveal some important traits of the next generation of smart robot communities. In the smart logistics industry, designing an efficient communication and management platform from logistics robots is one of the fundamental problems. This study aims to implement smart robots in assisting distribution / logistical activities by following humans in bringing goods to the intended area by following green objects.
RETRACTED: Analyzing challenging aspects of IPv6 over IPv4 Shahzad Ashraf; Durr Muhammad; Zeeshan Aslam
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.17105

Abstract

This article has been retracted by the publisher.This article has been retracted at the request of The International Arab Journal of Information Technology (IAJIT) report because of misconduct and plagiarism. The document and its content have been removed from the Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, and reasonable effort should be made to remove all references to this article.
Website Technology Trends for Augmented Reality Development Rakhmi Khalida; Siti Setiawati
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.16632

Abstract

Augmented reality (AR) is a technology that is gaining increasing attention from academics and industry. AR is relied upon to be an innovative technology to enrich ways of interacting with the physical and cyberspace around users that can enhance user experience in various fields. Platforms for AR applications are usually hardware based and mobile based, for mobile applications AR is usually based. AR-based hardware requires quite expensive support, this is seen from the rendering space requirements and this makes it inflexible while AR-based applications on mobile smartphones require large storage space and do not make it convenient for cross-platform use. Currently many researchers are trying to create and develop website-based AR, as a solution to the spread of AR to be flexible and save storage space, website technology development trends are used as a method for improving the performance of website-based AR. Other support comes from open-source software and more developer platforms and program courses for Web AR that are made public. This paper reviews the state-of-the-art, various methods, technologies and challenges of existing AR, this can be a trigger for more research interest and efforts to provide AR experience
Road and Vehicles Detection System Using HSV Color Space for Autonomous Vehicle Aulia Ghaida; Hera Hikmarika; Suci Dwijayanti; Bhakti Yudho Suprapto
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.16949

Abstract

Nowadays, an autonomous vehicle is one of the fastest-growing technologies. In its movements, the autonomous vehicle requires a good navigation system to run on the specified lane. One sensor that is often used in navigation systems is the camera. However, this camera is constrained by the process and its reading, especially to detect roads that are suitable for the vehicle's position. Thus, this research was conducted to detect the road and distance of nearby objects using the HSV color space method. From the test results, this research succeeded in detecting roads with an accuracy of 78.012 %, and an accuracy of 80% for the safe/unsafe area detection. The results also showed that the method achieved an accuracy of 80% and 74.76%for object detection and object distance detection, respectively. The results of this research implied that the HSV method wasquite good with fairly high accuracy to detect roads and vehicles.
Implementation of Gray Level Coocurence Matrix on the Leaves of Rice Crops Lilis Indrayani; Raden Wirawan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 6, No 1 (2020): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v16i1.16630

Abstract

Rice is one of the cultivation plants that are very important for human survival. The success of rice harvesting affects the level of farmers' income. However, farmers often suffer losses as a result of illness in rice. Rice plants infected with the disease will show symptoms in the form of patches that have certain patterns and colors on some parts of the body of rice plants, such as stems, leaves, and roots. Disease symptoms that emerge on the leaves are most easily identified because the leaves have a wider cross-section than other body parts of rice. Therefore, in this study, the leaf was used as an initial step parameter for disease detection in rice. This research aimed to identify diseases that exist in rice plants using the method of Gray Level Co-occurrence Matrix (GLCM). The GLCM method is a feature extraction method. The disease detection process on the leaves of the rice plants was done by retrieving the original image for the initial step; then, the original image was segmented before converted to greyscale imagery. After that, feature extraction was carried out using the GLCM features: Entropy, Eccentricity, Contrast, Energy, Correlation, Homogeneity. The results showed 90% accuracy results using GLCM extraction. The recognition of the emerging diseases on rice leaves can help to identify the type of disease infecting the rice plants.

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