Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

Journal of Computer Engineering, Electronics and Information Technology

COELITE
Website

Published by Universitas Pendidikan Indonesia

ISSN : 28294157 EISSN : 28294149 DOI : https://doi.org/10.17509/coelite

Core Subject : Science, Education, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Other

Journal of Computer Engineering, Electronics and Information Technology (COELITE) merupakan jurnal peer-review yang didedikasikan untuk publikasi hasil penelitian yang berkualitas dalam bidang Teknik Komputer, Elektronik, dan Teknologi Informasi, namum tidak terbatas secara implisit. Journal of Computer Engineering, Electronics and Information Technology (COELITE) menerbitkan paper secara berkala dua kali setahun dan dikelola oleh Prodi Teknik Komputer, Universitas Pendidikan Indonesia, Bandung, Indonesia. Semua artikel yang dipublikasikan di jurnal COELITE dapat diakses secara bebas online tanpa berlangganan apapun.

Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)

Articles 20 Documents

1 2

Machine Diagnosis based Multi-Agent Technology by Autonomous Sensor with Energy Harvesting Munawir Munawir; Devi Rimadhani Agustini; Rahmawati Rahmawati; Abdullah Muadz Nadzir Anzhar
Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 1 (2022): COELITE: Volume 1, Issue 1, 2022
Publisher : Universitas Pendidikan Indonesia

A machine diagnosis system based on multi-agent technology is proposed. We mainly focus on developing a multi-agent system for rotating machinery fault diagnosis by vibration sensor with energy harvesting. To estimate the inner rotation of machines in plant frequency analysis is frequently used. Our approach for diagnosis is agent-based, where vibration data is analyzed by a set of software agents coming from distributed servers to the user side. Another feature of this study is the development of autonomous vibration sensors. It earns electric power from vibration so that we are free from battery maintenance, and continuous online monitoring is enabled. Based on the implementation results of the existing multi-agent system design prototype, the harvesting sensor working process can produce total energy of 205µW with a working cycle of about 6.5 minutes, the energy harvester works, and the power accumulates continuously.

Smart Laboratory Using Radio Frequency Identification (RFID) Based on The Internet of Things Firmansyah M S Nursuwars; Reza Fragaria Audika; Sutisna Sutisna; Imam Taufiqurrahman
Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 2 (2022): COELITE: Volume 1, Issue 2, 2022
Publisher : Universitas Pendidikan Indonesia

In Indonesia, traditional methods are still commonly used for managing laboratories. This has resulted in various issues, such as the loss of keys, and has hindered the efficiency of these laboratories. However, the integration of technology has the potential to improve laboratory management by up to 33%. A modernized laboratory system, known as an "Innovative Laboratory", combines technology with traditional management techniques. The proposed Internet of Things-based tool aims to assist laboratories in improving their management services, including a registration system, a locker system, and a desk system. This tool utilizes a Keypad 4x4 and PCF8574 to select desks and lockers, Node MCU as a microcontroller to publish identification data from an MQTT broker, and RFID technology to access and activate electronic locks and sockets. To ensure that data is successfully transferred and the selected locker and desk are available, the system requires a certain delivery time for a maximum of 251 bytes of data that can be sent at different signal strengths. Only registered users with valid identification are able to access the locker and desk systems, and users must unregister before switching to a new locker or desk. The goal of this system is to streamline and improve the management of laboratories.

Fault Coverage Testing on the ISCAS’89 S1423 Sequential Circuit using Scan Based Design and Synopsis Tetramax Wirmanto Suteddy; Anugrah Adiwilaga; Dastin Aryo Atmanto
Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 2 (2022): COELITE: Volume 1, Issue 2, 2022
Publisher : Universitas Pendidikan Indonesia

We tested the ISCAS'89 S1423 series with a scan design method, both non-scan, full-scan, and partial-scan, but for the partial-scan, the method we propose uses a structured random approach. The purpose of this study is to determine the evaluation and performance with the best computational time with the proposed method to produce high fault coverage results. Testing the ISCAS'89 S1423 circuit in the form of verilog was carried out using tetramax synopsis, the partial-scan test requires a strategy in determining the flip flop to be used as a scannable flip flop, the test results using the full scan method produce 100% test coverage and fault coverage, but this method provides gate overhead loss of 24.06% and slower chip performance. To reduce the gate overhead loss, a partial-scan method will be applied with the approach of choosing from 74 DFF which will be used as scannable flip flops, the test with the best results we did through the 37 DFF approach with the highest input obtained test coverage of 98.17% and fault coverage 96.76% with 171.11 CPU Time with gate overhead reduced by 12.03%. The next approach with the best results with the approach of 50 DFF highest output plus DFF which is not self-loop obtained test coverage of 99.24% and fault coverage of 98.47% with gate overhead successfully reduced by 16.26% with CPU Time 43.39.

Smart Pet Feeder on Cat Food Portions Using Mamdani's Fuzzy Logic Inference System Method Muhammad Ayat Hidayat; Suriandi Jayakrista
Journal of Computer Engineering, Electronics and Information Technology Vol 2, No 1 (2023): COELITE: Volume 2, Issue 1, 2023
Publisher : Universitas Pendidikan Indonesia

This is a system that can help cat owners provide the right amount of food for their cats. This system uses the Mamdani fuzzy logic inference system method which can process input in the form of information about the cat's body weight and make a decision about the amount of food to be given to the cat. This system is integrated with a smart pet feeder called FoodyPet which can dispense food according to the decision made by the system. By using this system, cat owners can easily provide the right amount of food for their cats and maintain their cat's health. In addition, this system can also help cat owners automatically schedule their cat's meal times so they don't have to worry about forgetting to give food to their cats. This system consists of several main components, namely Arduino UNO as a microcontroller that runs all data processing processes, an loadcell as a tool to measure the cat's body weight, an ultrasonic sensor as a tool to measure the level of food in the tank, and an LCD display used to display information about the food portion to be given to the cat. This system is also equipped with a buzzer that will signal the cat owner when the food is ready to be given to the cat.

Application of Neural Network for ECG-based Biometrics System Using QRS Features Ana Rahma Yuniarti; Syamsul Rizal; Ferdinand Aprillian Manurung
Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 2 (2022): COELITE: Volume 1, Issue 2, 2022
Publisher : Universitas Pendidikan Indonesia

Applications of Biometrics technology are extremely popular today, ranging from access control to automation. Fingerprint is the oldest and the most widely used biometrics technology. However, its key features are externally exposed which make it tend to be easily forged. This study investigates the possibility of electrocardiogram (ECG) signal as an alternative modality for biometrics systems. Besides that, the study is conducted using the ECG database under arrhythmia conditions to accommodate the real-world application since arrhythmia exists in large-scale world populations. In this study, a total of 8,972 datasets from 47 subjects were modeled using a machine learning technique (i.e., one-dimensional convolution neural network or 1-D CNN). The results showed that the accuracy (F1-score) of 92% and 0.25 of loss was achieved. Furthermore, we prove that the proposed model is a good fitting based on the visualization plot of the train-test. These findings show that the proposed model is reasonable enough for an ECG-based biometrics system though it's not the best in the literature.

Determination of Priorities for the Development of Small and Medium Enterprises in the Province of South Sulawesi Using the Weighted Product Model Nur Annisa Safitri Yusuf; Mustikasari Mustikasari; M. Hasrul H
Journal of Computer Engineering, Electronics and Information Technology Vol 2, No 1 (2023): COELITE: Volume 2, Issue 1, 2023
Publisher : Universitas Pendidikan Indonesia

Small and Medium Enterprises (SMEs) are a sector that plays a vital role in running the national economy. The South Sulawesi Provincial Office of Industry as a regional government organization is tasked with administering affairs in the industrial sector of the South Sulawesi Province. In terms of developing SMEs, the South Sulawesi Provincial Industry Service has the right to determine priority industries that have the potential to be developed. The decision-making process at the South Sulawesi Industry Office is still experiencing several obstacles. This is due to the decision making does not use an objective method. In order to help solve this problem, we need a system that can be used to determine industrial development priorities. This research builds a web-based decision support system software regarding priority setting for SMEs development in South Sulawesi Province using the weighted product model. A method that will find a concluding solution by considering industry weights and criteria. This study uses the implementation of the data management subsystem using MySQL. Meanwhile, the implementation of the model management subsystem uses the weighted product model and the dialog management subsystem uses a website interface that can assist the South Sulawesi Provincial Office of Industry in determining priorities for the development of SMEs.

Classification of Device Addiction to Students Using SAS-SV with K-Nearest Neighbor Algorithm Method Basyir Al Musthoqfirin Majid; Abdul Mubarak; Salkin Lutfi
Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 1 (2022): COELITE: Volume 1, Issue 1, 2022
Publisher : Universitas Pendidikan Indonesia

A gadget is a small electronic device with a particular purpose, often thought of as an innovation of new goods. Not only to help facilitate human activities, but gadgets are also a part of the lifestyle for modern citizens. With this innovative feature, the gadget has attracted users more and more, or in other words, users have become more addicted to the gadget. This study aims to investigate how addictive gadgets are to students at the Department of Informatic Engineering, Khairun University, Ternate, Indonesia using K-Nearest Neighbor (KNN) Algorithm. In KNN, there is a Training dataset where one set of data contains the class's value and a predictor that will be used as one of the requirements for determining a suitable grade per the predictor. In contrast, the Testing dataset contains the new data that will be classified based on the model made and the accuracy of classification in the data collection process. Questionnaires were made using Google forms, then distributed through the internal groups of the Informatics Engineering department of Khairun University. A total of 78 questionnaires were successfully collected. The results showed that the testing accuracy with k = 3 is 86% and k = 5 is 80%. This show that KNN algorithm can be applied to measure the level of addiction to students.

Analysis of Model-Free Reinforcement Learning Algorithm for Target Tracking Muhammad Fikry; Rizal Tjut Adek; Zulfhazli Zulfhazli; Subhan Hartanto; Taufiqurrahman Taufiqurrahman; Dyah Ika Rinawati
Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 1 (2022): COELITE: Volume 1, Issue 1, 2022
Publisher : Universitas Pendidikan Indonesia

Target tracking is a process that can find points in different domains. In tracking, some places contain prizes (positive or negative values) that the agent does not know at first. Therefore, the agent, which is a system, must learn to get the maximum value with various learning rates. Reinforcement learning is a machine learning technique in which agents learn through interaction with the environment using reward functions and probabilistic dynamics to allow agents to explore and learn about the environment through various iterations. Thus, for each action taken, the agent receives a reward from the environment, which determines positive or negative behavior. The agent's goal is to maximize the total reward received during the interaction. In this case, the agent will study three different modules, namely sidewalk, obstacle, and product, using the Q-learning algorithm. Each module will be training with various learning rates and rewards. Q-learning can work effectively with the highest final reward at a learning rate of 0.8 for 500 rounds with an epsilon of 0.9.

Decision Support System For Selection Of Productive At Sahabat Sampulo Foundation Using The Profile Matching Method Nia Nandara; Rahman Rahman; Adhy Rizaldy
Journal of Computer Engineering, Electronics and Information Technology Vol 2, No 2 (2023): COELITE: Volume 2, Issue 2, 2023
Publisher : Universitas Pendidikan Indonesia

The Sahabat Sampulo Foundation is dedicated to supporting and empowering underprivileged individuals by providing them with opportunities to engage in productive activities. However, the process of selecting the most suitable individuals for various productive projects can be challenging due to the large number of applicants and the diverse range of skills required. To address this issue, a Decision Support System (DSS) utilizing the Profile Matching Method is proposed. Making decisions is one of the most basic things in everyday life, in the decision-making process humans are often faced with many alternatives to choose from, so that in a problem, several decision makers can make different decisions. The advancement of this technology has also been put to good use by the Sahabat Sampulo Foundation to determine the selection of productive and unproductive employees. Because it still uses traditional methods subjectively and manually, from these problems a system is needed that can help determine employee data decisions for the Sahabat Sampulo Foundation. This Profile Matching method compares the value and actual data of a profile that will be assessed with the profile value that is applied.

Design of Styrofoam Cutting Machine Based on CNC 2 Axis Using Hot Wire Fahrizal Fahrizal; Muhammad Fikriatul Aslam; Nurhikmah Anwar; Isminarti Isminarti; Andi Fitriati
Journal of Computer Engineering, Electronics and Information Technology Vol 1, No 2 (2022): COELITE: Volume 1, Issue 2, 2022
Publisher : Universitas Pendidikan Indonesia

The development of the creative industry in the manufacture of decorations from styrofoam materials is increasing rapidly, the need for a 2-axis CNC-based automatic styrofoam cutting machine (Computer Numerical Control) using hot wire can facilitate the process of cutting styrofoam in large quantities and uniformly with machine drive on the X and Y axes. The purpose of this study is to design and manufacture a CNC based styrofoam cutting machine that can be programmed so that it can facilitate the cutting of styrofoam in large quantities and uniformly with movement on the X and Y axes. The method used is an experimental method in which the G-Code processing process is sent to the software which then produces 2 axis movements, namely on the X and Y axes. Then the styrofoam cutting process is continued using a hot wire whose temperature has been regulated using voltage and current which produces styrofoam cutting according to the size of the styrofoam used, which is 88 cm long, 42 cm high with a thickness of 2 cm and the accuracy level obtained for the X axis of 99.84% and the Y axis of 99.91%.

Page 1 of 2 | Total Record : 20

1 2

Filter by Year

2022 2023

Filter By Issues

All Issue Vol 2, No 2 (2023): COELITE: Volume 2, Issue 2, 2023 Vol 2, No 1 (2023): COELITE: Volume 2, Issue 1, 2023 Vol 1, No 2 (2022): COELITE: Volume 1, Issue 2, 2022 Vol 1, No 1 (2022): COELITE: Volume 1, Issue 1, 2022

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
coelite@upi.edu

Phone
+6282120257828

Journal Mail Official
coelite@upi.edu

Editorial Address
Jl. Pendidikan No.15, Cibiru Wetan, Kec. Cileunyi, Kab. Bandung, Provinsi Jawa Barat, 40625

Location
Kota bandung,

Jawa barat

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email coelite@upi.edu

Phone +6282120257828

Journal Mail Official coelite@upi.edu

Editorial Address Jl. Pendidikan No.15, Cibiru Wetan, Kec. Cileunyi, Kab. Bandung, Provinsi Jawa Barat, 40625

Location Kota bandung, Jawa barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
coelite@upi.edu

Phone
+6282120257828

Journal Mail Official
coelite@upi.edu

Editorial Address
Jl. Pendidikan No.15, Cibiru Wetan, Kec. Cileunyi, Kab. Bandung, Provinsi Jawa Barat, 40625

Location
Kota bandung,

Jawa barat

INDONESIA