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Journal of Computer Engineering: Progress, Application and Technology
Published by Universitas Telkom
ISSN : -     EISSN : 29636728     DOI : https://doi.org/10.25124/cepat.v2i01
Core Subject : Science,
Computer Science & IT
CEPAT is a peer-reviewed journal that is published quarterly (every three months) in February, May, August and November. CEPAT is published by the Department of Computer Engineering, School of Electrical Engineering, Telkom University, and was first published in May 2022. CEPAT aims to encourage developments in computer technology which covers various topics related to Computer Engineering, including its research Progress, Application, and Technology. This journal scopes are including but not limited to Computer Engineering, Computer System, Computer Application, Computer Technology, Multimedia Application, Mobile Computing & Applications, Internet of Things, UI/UX, Information Systems and Technologies, E-Learning & Distance Learning, Infrastructure Systems and Services, E-Government, E-Business & E-Commerce, Artificial Intelligence, Embedded System, Network & Data Communication, Databases, Big Data, Data Mining, Software Engineering, Computer Network, Computer Architecture, Computer Security, Soft Computing and Intelligent System, Computer Apps in Electrical/Telecommunication Engineering, Data Science & Analysis, Applied Science, Data Processing in Remote Sensing Technology, Ionospheric Monitoring Data, Computer and Information Engineering.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 84 Documents
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The NDNS PERFORMANCE WITH VARIATION OF TOPOLOGY AND PREFIX ON NAMED DATA NETWORKING Muhammad Daffa; Leanna Vidya Yovita; Tody Ariefianto Wibowo
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 03 (2022): November 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i03.5428

Abstract

NDNS is DNS embedded in Named Data Network (NDN) architecture as a distributed database system to support NDN caching and know the content's location. In this research, the simulation performed using two topologies, Abilene and PAN-Europe with changes to their prefixes. This simulation conducted to see performance of NDNS with minimal ability to cache on NDN router or Caching Resolver. From simulation results, the variation of prefix at Second Level Domain and Top Level Domain there is no difference in average delay in both topologies, namely 1% increase in average delay as the variation of prefix increases. There is a decrease in the Cache Hit Ratio by 0.16% (Abilene) and 0.18% (PAN-Europe) because the probability of getting cached data decreases as the prefix varies. In the change in interest frequency, there is an increase of 0.4% in average delay and the Cache Hit Ratio decreases by 0.08% in both topologies as the frequency of interest per second increases. NDNS with cache in Router and Caching Resolver get 43% lower average delay (Abilene) and 44% (PAN-Europe) than NDN with cache in Router and 57% lower (Abilene) and 60% (PAN-Europe) than NDNS with cache in Caching Resolver only.
Random Forest Implementation in Prepaid Electric Meter Recognition Komang Jaya Bhaskara Mahatya; Fathoni Waseso Jati; Budhi Irawan; Faisal Candrasyah Hasibuan
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): August 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.5228

Abstract

While prepaid electricity services provide better flexibility, it comes with an additional step for the customer. Instead of paying a monthly bill based on electric usage, a prepaid system requires customers to actively predict their electricity usage before they pay for the correct electricity value. This presents a challenge because Underestimating electricity usage may lead to a power outage. Therefore, a system that monitors electricity can be developed to address this issue. There are two approaches to developing an electric monitoring system: designing the electric meter equipped with monitoring features or designing an external capturing device to work with the current electric meter. The first approach is costly and requires a meter disassembly. Thus, in this paper, the second approach is used. By utilizing image processing and a Random Forest machine learning algorithm, a monitoring device can be developed to read the digital meter's display. Although it may affect performance due to the low-power device, Raspberry Pi 3 and Raspberry Camera are used to provide automation. This method yields an accuracy of 97% using 375 images.
Photogrammetry to maintain heirloom authenticity Miftah Amirul Amin; Muhammad Emir Ghiffari; Muhammad Arham Irsyad; Umar Ali Ahmad; Reza Rendian Septiawan; Fussy Mentari Dirgantara; R Rogers Dwiputra Setiady
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 01 (2022): May 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i01.4839

Abstract

Heirlooms are very valuable items because they have a strong historical value. But in reality, many heirlooms are damaged as a result of the negligence of visitors who want to see the heirlooms or because of a disaster. Photogrammetry is a technology that is developing and is often used for today's industrial needs so that it offers an alternative solution for documenting heirlooms in the form of 3D models. This study aims to implement photogrammetry to document heirlooms. With the application of this technology, it is hoped that it can be used as a prevention or solution if heirlooms are damaged because we can make new duplicates of heirlooms based on 3D models that have been made. This research was conducted at Kanoman Palace, Cirebon City. The results of photogrammetry after it is implemented show that all needs are met and can be used as needed. The results of the questionnaire to the Kanoman Palace and people in Cirebon City, showed a figure of 73.7% strongly agree that the photogrammetry results are similar to the original heirlooms and strongly agree that by making 3D models of heirlooms can be used as prevention and solutions if the heirlooms are damaged.
Long Term Evolution Network Planning Using The Backhaul Microwave Link in The Village Wangunharja Lembang District Zikri Kurniawan Zakaria
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 01 (2023): February 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i01.5810

Abstract

Wangunharja village has an area of 832 ha and a population of 8256. In this village, 4G LTE network coverage still does not reach the entire region. Therefore, LTE network planning is needed to expand coverage in the area. This study was carried out by analyzing and planning LTE networks use microwave backhaul in Wangunharja Village. The first step is to check the quality of the signal along the main line of the village. Then, plan for capacity and LTE network coverage to determine the number of sites needed. Next, microwave backhaul planning is carried out with work frequency based on the distance of the backhaul link. Based on the LTE network planning the calculations show that two sites are required to cover the Wangunharja Village area. Furthermore, planning simulations are carried out using simulation software, and the values of the three parameters measured have met the operator's KPI standards. With a microwave link distance of 2.87 km, the operating frequency of the microwave antenna operates at 11 GHz.The results of microwave link calculations and simulations for the value of the received power level are -18.95 dBm, with a gain antenna of 45.8 dBi obtained fading margin of 49.04 dBm so that the availability value or level of availability in one year is 99.999%.
HUMAN TRACKING OBJECTS IN DARK SITUATIONS BASED ON THERMAL USING SUPPORT VECTOR MACHINES, L1 TRACKER USING ACCELERATED PROXIMAL GRADIENT APPROACH, AND KERNELIZED CORRELATION FILTER METHODS Ullima Fathonah Remelko
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 03 (2022): November 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i03.5268

Abstract

Pedestrian safety on pedestrian lanes on the side of highways or roads in housing with heavy or quiet traffic conditions needs to be a public concern. Security that must be considered, object tracking is needed to carry out surveillance in improving pedestrian security, and it is also necessary to install thermal camera devices to find out the position of objects such as humans, in various positions of viewpoints that can be applied and applied to monitor the environment. To classify objects such as humans who are in dark or low-light conditions, namely by using the Kernelized Correlation Filter (KCF) tracking method, Support Vector Machines (SVM), and L1 Tracker Using Accelerated Proximal Gradient Approach (L1APG) based on a distance of 10 meters, 15 meters, 20 meters and the size of the object in the dataset. The results of the study with 1684 image inputs. Good performance for each success plot distance on the SVM method is 99.25%, 99.75%, 98.74% because it can track successfully based on the object being traced. Good performance for each precision plot distance on the KCF method of 51.88%, 46.8%, 63.81% has precise accuracy results against the object being tracked.
DarkWeb Crawling using Focused and Classified Algorithm Putri Rahmasari Yunelfi; Yudha Purwanto; Muhammad Faris Ruriawan; Agus Setiawan Popalia; Fina Fahrani
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): August 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.4879

Abstract

At this moment there are more and more cases of illegal goods transactions and personal data being leaked. Illegal transactions and personal sales data are usually carried out on the deep web, especially dark web because the web has multiple layers of encryption and an anonymous system when accessing it. without any illegal transactions and personal sales data, basically the web is very wide and deep. Therefore, the crawling method can be used to explore the dark web. The crawling method on the dark web can use a crawl focus that takes a focused approach on a particular topic. The focus crawling method takes a URL approach by looking at URL that are interconnected with the main URL page on the desired topic. To do focus crawling, it is done by entering keywords that best match the desired topic. With the focus crawling method, it is hoped that the maximum URL data set related to a particular topic can be generated. From the results obtained on the crawling system on the dark web, it is hoped that it can also be used to find out the number of URLs related to certain topics. In addition, the results of this crawl can also be a source of information for further research on the dark web.
IoT-Based Banknotes Saving Automation System Anggunmeka Luhur Prasasti; Reza Rendian Septiawan; Muhammad Haekal Alfarisi
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 01 (2023): February 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i01.5499

Abstract

Many problems occur with traditional savings, such as users not knowing the nominal amount that has been saved later, and the authenticity of the money saved. To overcome this problem, the "Savings Storage Automation System with IoT-Based Banknotes" tool was created, this tool aims to help users save money easily and safely. The system design is based on Arduino Mega. The inputs on the Arduino Mega consist of a GY-33 TCS34725 as a color sensor and a keypad to perform functions. The output produced is in the form of nominal data of banknotes that can be seen by the user through an LCD and sent to a database, checking the authenticity of the money is done manually by using ultraviolet. The method used to identify the nominal banknotes is based on the reading of each RGB value and color temperature on each nominal banknote. The average accuracy of reading currency values on real banknotes reaches 88%, while in testing counterfeit banknotes it is 14%. Testing execution time when entering money into savings is 3.57 seconds and data to the database is 6.57 seconds.
Study of Neuromarketing in Consumer Behavior due to Product Logos Color Changes Effect Denta Rahmadani; Hilman Fauzi; Reza Armanda Lubis; Maya Ariyanti
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): August 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.5245

Abstract

Consumer behavior can be detected by conducting surveys, but this method lacks the depth of analysis to measure consumer behavior. By utilizing technological and scientific advances through the study of neuroscience, especially in neuromarketing, it is hoped to improve the ability to analyze consumer behavior. Neuromarketing has been widely used to measure consumer behavior through several stimuli, including logo colors. Neuromarketing to the human brain's response is done using electroencephalography (EEG) signal analysis. Data collection was carried out on six students aged 19-24 years. Subjects were given a stimulus of five original logo colors and five logo colors recolored with the number of questions in three sessions. Pre-processing uses a butterwort horde four bandpass filter with a theta-band frequency band in the frequency range of 4-8 Hz. Data on color changes using questionnaires and EEG signal data is processed on spatial and spectral domains to view active areas of short-term memory. The result obtained is the effect of the change in logo color on consumer memory and the active location of short-term memory on the logo's color. Using spatial selection, the number of channels was reduced from 16 to 4 channels or by 75%. The selected channels are in the memory and visual areas.
The Implementation of Augmented Reality in Keraton Kanoman’s Museum Muhammad Emir Ghiffari; Miftah Amirul Amin; Muhammad Arham Irsyad; Umar Ali Ahmad; R Rogers Dwiputra Setiady; Fussy Mentari Dirgantara; Reza Rendian Septiawan
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 01 (2022): May 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i01.4844

Abstract

Museums genereally display historical objects such as heirlooms and artifacts. To observe this object more clearly visitors usually touch the display case or even hold the objects directly. The implementation of new normal expected that people avoiding contact either directly and indirectly. This study aims to find an alternative solution for reducing contact in museum, This study aims to implement the Augmented Reality (AR) technologies as one of solution for reducing contact in museums, by implementing it in form of mobile application that using Android operating system supported by Unity AR Foundation and ARCore. This research conducted at Keraton Kanoman in Cirebon City. The results of performances test showed 4 out of 10 objects displayed and running 60 Hz Refresh Rates and 60 fps. While the AR/VR development in Android is still limited due to ARCore incompatibility issue, the device proofed to run smoothly without having significant Refresh or Frame Rates drop
WEARABLE ANTENNA DUAL BAND WITH ELECTROMAGNETIC BAND GAP (EBG) STRUCTURE FOR HEALTH APPLICATIONS Haniifah Arif Ash-Shiddiq; Harfan Hian Ryanu; Levy Olivia Nur
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 01 (2023): February 2023
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v2i01.5811

Abstract

Telemedicine can solve several issues in the healthcare system. The wearable antenna works with the Industrial, Scientific, and Medical (ISM) band for wireless body area network (WBAN) communications. Wearable antennas are lightweight, easy to make, and so on. This antenna application's bandwidth is limited by the thin substrate. This research will create a wearable planar monopole antenna with a circular patch that can operate at 2,4 and 5,8 GHz. Antenna without the UC-EBG structure and antenna with the UC-EBG structure were tested. The simulation results without UC-EBG show that the return loss is -14.629 dB and -28,639 dB, the VSWR is 1,456 and 1,077, the bandwidth is 4988 MHz, and the gain is 2,517 dBi and 4,270 dBi. The simulation results with the addition of UC-EBG show that the return loss is -13,835 dB and -17,46 dB, the VSWR is 1,511 and 1,309, the bandwidth is 1480 MHz and 2320 MHz, and the gain is 2,869 dBi and 5,208 dBi. The measurement results with UC-EBG show that the return loss is -13,134 dB and -18,421 dB, the VSWR is 1,566 and 1,273, the bandwidth is 1080 MHz and 960 MHz, and the gain is 2,198 dBi and 4,98 dBi.

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