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Contact Name
Taufik Hidayat
Contact Email
thidayat.ft@unwir.ac.id
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Journal Mail Official
teknik.komputer@unwir.ac.id
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Jl. Ir. H. Juanda KM.03, Singaraja, Indramayu - Jawa Barat 45312
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INDONESIA
TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer
Published by Universitas Wiralodra
ISSN : 26218070     EISSN : 26863219     DOI : https://doi.org/10.31943/teknokom
Core Subject : Science,
Jurnal Teknologi dan Rekayasa Sistem Komputer (TEKNOKOM) with frequency 2 (two) times a year, ie in March and September. The editors receive scientific writings from lecturers, teachers and educational observers about the results of research, scientific studies and analysis and problem solving closely related to the field of ICT and System Computer.
Arjuna Subject : -
Articles 139 Documents
HOW MACHINE LEARNING METHOD PERFORMANCE FOR IMBALANCED DATA : Case Study: Classification of Working Status of Banten Province Pardomuan Robinson Sihombing
TEKNOKOM Vol. 4 No. 2 (2021): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (173.515 KB) | DOI: 10.31943/teknokom.v4i2.64

Abstract

This study will examine the application of several classification methods to machine learning models by taking into account the case of imbalanced data. The research was conducted on a case study of classification modeling for working status in Banten Province in 2020. The data used comes from the National Labor Force Survey, Statistics Indonesia. The machine learning methods used are Classification and Regression Tree (CART), Naïve Bayes, Random Forest, Rotation Forest, Support Vector Machine (SVM), Neural Network Analysis, One Rule (OneR), and Boosting. Classification modeling using resample techniques in cases of imbalanced data and large data sets is proven to improve classification accuracy, especially for minority classes, which can be seen from the sensitivity and specificity values that are more balanced than the original data (without treatment). Furthermore, the eight classification models tested shows that the Boost model provides the best performance based on the highest sensitivity, specificity, G-mean, and kappa coefficient values. The most important/most influential variables in the classification of working status are marital status, education, and age.
A STUDY OF THE INFLUENCE OF 650 nm LASER INTERFERENCE ON VISIBLE LASER LIGHT COMMUNICATION SYSTEM Pranoto Budi Laksono
TEKNOKOM Vol. 4 No. 2 (2021): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.243 KB) | DOI: 10.31943/teknokom.v4i2.66

Abstract

Visible Laser Light Communication System (VLLC) is a wireless communication system, using laser as the medium. In the data transfer process, it is possible to have optical interference where 2 laser beams coincide with one point on the reflector. Research on the effect of laser source interference has been carried out by several researchers including mitigation actions to reduce its effects. This experiment uses 2 optical distance sensors that produce a laser with a wavelength of 650 nm with a power <=4.1 mW and with the direction of the laser beam both of them cross each other. To determine the effect of the interference of two laser beams when crossing the communication process in the visible light communication system, a reflector is used which can capture the two laser beams and the reflector can be shifted gradually so that a condition can be obtained where the two laser beams meet at one point. From the measurements made at the points after the laser beam crossing, the measurements at the point where the beam crossed, and the measurements at the points before the beam crossing, it was obtained data, at the exact point where the laser beam crossed the interference occurred, which is indicated by unstable output voltage of the two lasers, so that communication at the point of intersection is disrupted. However, if outside the point of contact both before and after the point of contact, interference and communication systems will not occur.
ANALYSIS AND APPLICATION OF CLOUD STORAGE SECURITY UTILIZATION BASED ON AS A SERVICE (IaaS) INFRASTRUCTURE SERVICE MODEL AS A DOCUMENT SHARING MEDIA DURING PANDEMI Fyan Isra Wardanu; Budi Wibowo; Andrie Yuswanto
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.766 KB) | DOI: 10.31943/teknokom.v5i1.67

Abstract

Storage via the cloud is very necessary which is carried out in this research can be used as a basis for research at PT. Indocode technology has a problem where the problem is that the process of storing and sharing data on storage media via the cloud can be used both on internal and external networks. Implementing cloud-based storage greatly simplifies the process of sharing files with employees or the board of directors to be able to filter which data can be accessed by all employees and limited needs.. The server is designed using the Owncloud application which aims to support the process of information or data transactions with commissioners, directors and employees using owncloud, so that the data transfer process no longer uses external storage from the internet or other physical storage media. In addition, the use of owncloud for enterprises is very helpful because it is easy to use and the file sharing capabilities can be adjusted according to the user's permissions and can be accessed anywhere and anytime.
ANALYSIS OF THE INFLUENCE OF LOOSE TERMINATION LEVEL WITH INCREASING TERMINATION TEMPERATURE OF ELECTRICAL EQUIPMENT USING INFRARED THERMOGRAPHY Pranoto Budi Laksono
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (675.308 KB) | DOI: 10.31943/teknokom.v5i1.68

Abstract

The use of electrical energy in the industrial is very important to drive production machines. Machine maintenance is carried out so that the lifetime of the machine becomes longer so that the production process continues. Temperature is one of the most common indicators of the structural health of equipment and components. This means that the main symptoms of damage to machines and equipment can be indicated by increasing the temperature of the equipment. One of the symptoms of an increase in equipment temperature is due to a loose cable termination. The use of infrared thermography to measure the temperature rise due to loose termination is one of the methods in electrical machine maintenance. Previous studies using infrared thermography to measure the temperature rise due to loose termination have been carried out by many researchers, but these studies did not show a correlation between the level of loose termination and the increase in temperature but only stated that the loose termination caused an increase in temperature. This study focuses on finding the relationship between the level of loose termination compared to standard torque and the increase in temperature at the termination point. This is very useful as a quick overview in determining the level of urgency in maintenance activity, that percentage of loose termination of a certain value below the standard will give an increase in temperature of a certain value as well. This study resulted, for the torque setting condition 67% below the standard (loose) the temperature increase at the terminal was 13.4% - 15.6%, for the torque setting condition 33% below the standard temperature increase at the terminal of 12.3% -13.8% which mean that the increase in temperature is directly proportional to the level of slack termination and is also directly proportional to the increase in the motor speed. If the termination torque level is lower and the motor speed is increased, the terminal temperature rise will be drastically rise.
DESIGN OF MACHINE LEARNING DETECTION MASK USING YOLO AND DARKNET ON NVIDIA JETSON NANO Deny Danu Prasetia; Andrie Yuswanto; Budi Wibowo
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.977 KB) | DOI: 10.31943/teknokom.v5i1.69

Abstract

In the Covid-19 pandemic, wearing a mask has become the obligation of Indonesian citizen,for outdoor and indoor.  Public awareness of wearing masks when leaving the house according to the government's appeal is still low.  This can be seen from the many people who do not wear masks while on the public place or in other place.  Technology that can help increase public awareness of using masks is a mask detection application.  The application to detect use of masks is made using Artificial Intelligence and uses machine learning methods from a tool that will read every use of masks on the face automatically, either using masks appropriately, using inappropriate masks or not using masks. The method used in this research is to use the Research and Development method, namely research that can produce a product. Based on the test results using masks with facial motifs, there are different results from the two samples tested depending on the quality of the image on the mask Yolo (You Only Look Once) is an object detection system in real time.  Darknet is an open source neural network framework written in the C and CUDA programming languages.  The Jetson Nano is a System On Module (SoM) and developer kit from the Nvidia Jetson family.
UTILIZATION OF ADC PIN ON ARDUINO NANO TO MEASURE VOLTAGE OF A BATTERY Muh Pauzan; Indri Yanti
TEKNOKOM Vol. 4 No. 2 (2021): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.193 KB) | DOI: 10.31943/teknokom.v4i2.71

Abstract

MEMORY FORENSIC DEVELOPMENT AND CHALLENGES IN IDENTIFYING DIGITAL CRIME : A REVIEW Yasep Azzery; Nur Dwi Mulyanto; Taufik Hidayat
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.764 KB) | DOI: 10.31943/teknokom.v5i1.73

Abstract

Digital forensic technology is currently advancing along with the demands to uncover various crimes using technology. Memory Forensic is one of the investigative fields in digital forensics. We use the Systematic Literature Review method to identify the developments and challenges of Forensic Memory in identifying digital crimes, analyzed from various reference papers according to the Include and Exclude Criteria and based on the specified Research Question. Authors chose from 30 reference journals from 3 online journal databases namely IEEE Explore, Sciencedirect, and Springer with themes related to forensic memory based on certain criteria for further review to determine the development of digital crime. The results of the SLR that we convey are the result of a study related to the use of Memory Forensic in identifying various digital attacks and challenges faced in the future.
THE ACA-BASED PID CONTROLLER FOR ENHANCING A WHEELED-MOBILE ROBOT Heru Suwoyo; Zhou Thong; Yingzhong Tian; Andi Adriansyah; Muhammad Hafizd Ibnu Hajar
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.663 KB) | DOI: 10.31943/teknokom.v5i1.74

Abstract

Wall-following control of mobile robot is an important topic in the mobile robot researches. The wall-following control problem is characterized by moving the robot along the wall in a desired direction while maintaining a constants distance to the wall. The existing control algorithms become complicated in implementation and not efficient enough. Ant colony algorithm (ACA), in terms of optimizing parameters, has a faster convergence speed and features that are easy to integrate with other methods. This paper adopts ant colony algorithm to optimize PID controller, and then selects ideal control parameters. The simulation results based on MATLAB show that the control system optimized by ant colony algorithm has higher efficiency than the traditional control systems in term of RMSE.
DESIGNING A WORK PERMIT REPORTING INFORMATION SYSTEM ON HIBA GROUP Pramitha Dwi Larasati; Ari Irawan; Ayub Boy Sandi Sipahutar
TEKNOKOM Vol. 5 No. 2 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.642 KB) | DOI: 10.31943/teknokom.v5i2.75

Abstract

In 1949 the HIBA Group was here to meet the transportation needs of the community. The company's commitment is to provide increased customer satisfaction through professional management and operational team support to the demands of the changing times. HIBA Group offers complete, professional, modern, and integrated transportation services. In addition to providing comprehensive, professional, current, and integrated transportation services, the HIBA Group also provides work comfort to employees, especially for maintenance, construction, and bus bodybuilding. In the construction or maintenance process, each activity must report a work permit or Permit to Work (PTW), whose function is to monitor and analyze the work to be carried out. The analysis is carried out from the workers' health, difficulty, the environment, and work tools (PPE). The reporting process is still manual form or conventional system to slow down the work being done if the work is essential for a tender. The PTW must also be analyzed and reported on the related circumstances so that PTW work tends to be slow. An online-based PTW information system Website design was made to simplify and speed up the PTW reporting to solve this problem. The method used for developing information systems uses the Prototype Model with an object-oriented system approach modeled using the Unified Modeling Language (UML). This research is the design of the PTW information system Website used in the HIBA Group.
APPLICATION OF CLASSIFICATION ALGORITHM FOR SALES PREDICTION Sendi Permana; Rosadi Rosadi; Nikki Nikki
TEKNOKOM Vol. 5 No. 2 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (920.249 KB) | DOI: 10.31943/teknokom.v5i2.77

Abstract

Increasing sales results is a desired target for all companies both at home and abroad. The company has a wide variety of products to offer. This paper (to fulfill a Business Intelligence course assignment) is the result of an experiment from data (keaggle) about consumer demand for products during the 2013-2015 period, then based on this data we try to predict to classify product sales, in order to make it easier for companies to classification for sales predictions. To find out the sales of the best-selling products, data mining classification techniques are used, namely XGBoost, Decision Tree, Random Forest, Linear Regression, and Nave Bayes. Based on the test results of the five classification techniques, the XGBoost model is the best with the data training value producing an RMSE value of 0.68% and data testing of 0.79%. This method is also better than the results of previous studies.

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