Journal of Computer Engineering: Progress, Application and Technology
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.
Articles
84 Documents
<![CDATA[The Implementation of Augmented Reality in Keraton Kanoman’s Museum ]]>
<![CDATA[Ghiffari, Muhammad Emir]]>;
<![CDATA[Amin, Miftah Amirul]]>;
<![CDATA[Irsyad, Muhammad Arham]]>;
<![CDATA[Ahmad, Umar Ali]]>;
<![CDATA[Setiady, R Rogers Dwiputra]]>;
<![CDATA[Dirgantara, Fussy Mentari]]>;
<![CDATA[Septiawan, Reza Rendian]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 01 (2022): May 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i01.4844
<![CDATA[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]]>
<![CDATA[Development of 3 Phase Pump Panel Monitoring System based on Internet of Things (Case Study PERUMDAM) ]]>
<![CDATA[Ihsan, Muhammad]]>;
<![CDATA[Al Muttaqi, Ahmad Rif'a]]>;
<![CDATA[Ahmad, Umar Ali]]>;
<![CDATA[Wicaksana, Jati Satria]]>;
<![CDATA[Azmi, Fairuz]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 01 (2022): May 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i01.4846
<![CDATA[Water is the most basic human need. To maintain the distribution of water runs well, PERUMDAM uses a water pump panel to run and monitor the water pump to keep running. Even so, the water pump can be damaged at any time so PERUMDAM officers do routine activities to check the health of the water pump. Therefore, this article tries to solve the problem by making the design and implementing the IoT-based pump panels. An IoT-based pump panel is a device that is connected to an Android application to control and monitor the pump panel in real-time. In this study, NodeMCU is used as a center for sensor data retrieval to be sent to Firebase. Android applications can send notifications if there are anomalies in the sensor data. Controlling that can be done by the IoT-based pump panel is changing the mode on the analog pump panel from manual to automatic, and vice versa. The monitoring data obtained by the IoT-based pump panel is divided into two types. The optocoupler generates data related to the sensors on the analog pump panel in a boolean form. The power meter generates data in the form of values for voltage (R, S, T), current (R, S, T), frequency, and others as needed. The data obtained on the power meter can be used to calculate the power used by the analog pump panel.]]>
<![CDATA[Development of Course Booking System (Front-end & Back-end) Based on Mobile Application to Help Tutoring Elementary and Junior High School in Indonesia ]]>
<![CDATA[Febrianti, Elsa]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 01 (2022): May 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i01.4852
<![CDATA[Tutoring is informal education to help students who have problems outside of school. Students are helped to adjust to their learning situation so that they can develop efficiently according to their abilities. In Indonesia, there are still many students who do not understand the learning material delivered at school, so they must deepen the material outside of school learning. Especially since the COVID-19 pandemic hit, the effectiveness of learning activities has decreased because the learning process is carried out online which results in less interactive learning. Therefore, the EduAlecta application was created which is engaged in digital-based education. The EduAlecta app can help teachers increase their income and connect with students who need tutoring outside of school hours. The EduAlecta application system has the advantage of applying GPS so that students can determine the study location they want and students can arrange the tutoring they ordered. The method used in the front-end design is user centered design and the back-end design method uses waterfall.]]>
<![CDATA[A Review of Pathfinding in Game Development ]]>
<![CDATA[Pardede, Sara Lutami]]>;
<![CDATA[Athallah, Fadel Ramli]]>;
<![CDATA[Huda, Yahya Nur]]>;
<![CDATA[Zain, Fikri Dzulfiqar]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 01 (2022): May 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i01.4863
<![CDATA[Pathfinding is one important method in many studies or works that consists of autonomous movement, such as robot, game, transportation, and so on. Pathfinding aims to find the most efficient route for the related autonomous entity. To date, there are many algorithms regarding to the pathfinding. Especially, there are four well-known pathfinding algorithms: A*, Theta*, Dijkstra, and Breadth First Search (BFS). Due to this circumstance, this work aims to observe and review these four well-known algorithms deeper. The discussion consists of the conceptual model or framework, the formalization, and the implementation. The result shows that these algorithms have been implemented in many game so that they are promising to be used in the future game development.]]>
<![CDATA[DarkWeb Crawling using Focused and Classified Algorithm ]]>
<![CDATA[Yunelfi, Putri Rahmasari]]>;
<![CDATA[Purwanto, Yudha]]>;
<![CDATA[Ruriawan, Muhammad Faris]]>;
<![CDATA[Popalia, Agus Setiawan]]>;
<![CDATA[Fahrani, Fina]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i02.4879
<![CDATA[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.]]>
<![CDATA[Implementation of Blockchain as Covid-19 Test and Vaccine Certificate Storage System ]]>
<![CDATA[Arya Raditya Prawira Putra, Dendi]]>;
<![CDATA[Purwanto, Yudha]]>;
<![CDATA[Paryasto, Marisa]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i02.5189
<![CDATA[The existence of the Covid-19 virus, which was first announced at the end of 2019, in a short time was able to cause a pandemic. To overcome this, the government implemented a protocol that integrates Covid-19 test results and vaccination certificates into an application, with the aim that individuals can prove that they are free from Covid-19 infection and can return to normal activities. However, a centralized system is prone to single point of failure and data manipulation from the intervention of certain parties due to a lack of transparency. This paper proposed the use of Ethereum blockchain and smart contracts to solve this problem. By Using blockchain technology and smart contracts, the data management process will be more transparent since every transaction on the blockchain is recorded by each node. Blockchain also prevents a single point of failure because there are more than one data providers. The system that has been developed has fulfilled the security and privacy aspects of patient data by implementing password-based encryption on patient data. However, the system’s response time is strongly influenced by the computational capabilities of the Rinkeby network. On average, the system took 47,9 seconds to register a new certificate.]]>
<![CDATA[Application of Web Scraping on Forecast Report Form of Geomagnet ]]>
<![CDATA[Pranoto, Setyanto Cahyo]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i02.5226
<![CDATA[The increasing information encourages the development of new technologies so that data and information processing can be done easily and quickly. One of them in terms of obtaining information obtained from the website and most of the current studies targeting this task are mostly about automated web data extraction. Web scraping is a process of extracting valuable and interesting text information from web pages. To realize space weather prediction information services, including geomagnetic activity, Forecast Report Form of geomagnetic (FRF) application was developed using the web scraping method. The results obtained indicate that web scraping reliable for collecting large amounts of data more quickly automatically, efficient and can present expected result. Black box testing is used to test the web scrapping process.]]>
<![CDATA[Prediction System on Electricity Consumption using Web-Based LSTM Algorithm ]]>
<![CDATA[jati, Fathoni waseso]]>;
<![CDATA[Bhaskara, Komang Jaya]]>;
<![CDATA[Hasibuan, Faisal Candrasyah]]>;
<![CDATA[Irawan, Budhi]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i02.5227
<![CDATA[The technology development from year to year is increasing rapidly, especially in the electronics devices such as notebooks and smartphones. With the rapid development of technology, lifestyle habits have also changed. This can lead to an increase in the use of electrical energy. In addition, the negligence of electricity users in monitoring electricity usage at the place of the electricity meter also causes an increase in electrical energy. Monitoring the electricity meter in real time can limit the user from manage their electricity efficiently. This study aims to create a web-based electrical energy usage prediction system. This system can make it easier for users to manage and reduce waste of electrical energy. In the development of this system, it begins by collecting image data of remaining electricity which are processed manually into electrical energy consumption data. Then the data is pre-processed so that the data is clean and ready to use. The clean data is carried out by the process of making a Long-Short Term Memory (LSTM) model which was chosen because it can overcome Time Series and Non-Linear data types. LSTM model is designed to be able to predict the use of electrical energy. Then do the web application design as an interface on the predictive data. Based on the results of the test, the LSTM model can predict the use of electrical energy with a Loss Mean Square Error (MSE) value of 0.0071. While the results of website testing carried out with the alpha test get an accuracy of 100% and a beta test of 82.64%.]]>
<![CDATA[Random Forest Implementation in Prepaid Electric Meter Recognition ]]>
<![CDATA[Mahatya, Komang Jaya Bhaskara]]>;
<![CDATA[Jati, Fathoni Waseso]]>;
<![CDATA[Irawan, Budhi]]>;
<![CDATA[Hasibuan, Faisal Candrasyah]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): November 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i02.5228
<![CDATA[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.]]>
<![CDATA[Fuzzy Mamdani for the primary balloon shooter game ]]>
<![CDATA[Hanif, Fitra Nur]]>
<![CDATA[ CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 2 No 01 (2023): May 2022 ]]>
Publisher : <![CDATA[Universitas Telkom ]]>
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DOI: 10.25124/cepat.v1i3.5236
<![CDATA[Counting is a material that is considered not easy for most elementary school students. Not only from the considerations that are considered challenging but also the influence of the teacher's teaching style which makes bored, and boring is also a problem. In this study, an educational game balloon shooter prime numbers were made. In game design, the Mamdani fuzzy algorithm is applied to calculate the jumrance of balloons with the input variables of remaining_balloon and remaining_time. The application of the Mamdani fuzzy algorithm is considered successful, as evidenced by the high percentage rate of appearance of all balloons, reaching 76.4%.]]>
