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International Journal of Engineering, Science and Information Technology

ijesty
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Published by Universitas Malikussaleh

ISSN : - EISSN : 27752674 DOI : -

Core Subject : Science, Education, Social, Engineering,

Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 17 Documents

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Search results for , issue "Vol 2, No 3 (2022)" : 17 Documents clear

Design of A Real-Time Object Detection Prototype System with YOLOv3 (You Only Look Once) Chichi Rizka Gunawan; Nurdin Nurdin; Fajriana Fajriana
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Object detection is an activity that aims to gain an understanding of the classification, concept estimation, and location of objects in an image. As one of the fundamental computer vision problems, object detection can provide valuable information for the semantic understanding of images and videos and is associated with many applications, including image classification. Object detection has recently become one of the most exciting fields in computer vision. Detection of objects on this system using YOLOv3. The You Only Look Once (YOLO) method is one of the fastest and most accurate methods for object detection and is even capable of exceeding two times the capabilities of other algorithms. You Only Look Once, an object detection method, is very fast because a single neural network predicts bounded box and class probabilities directly from the whole image in an evaluation. In this study, the object under study is an object that is around the researcher (a random thing). System design using Unified Modeling Language (UML) diagrams, including use case diagrams, activity diagrams, and class diagrams. This system will be built using the python language. Python is a high-level programming language that can execute some multi-use instructions directly (interpretively) with the Object Oriented Programming method and also uses dynamic semantics to provide a level of syntax readability. As a high-level programming language, python can be learned easily because it has been equipped with automatic memory management, where the user must run through the Anaconda prompt and then continue using Jupyter Notebook. The purpose of this study was to determine the accuracy and performance of detecting random objects on YOLOv3. The result of object detection will display the name and bounding box with the percentage of accuracy. In this study, the system is also able to recognize objects when they object is stationary or moving.

Young Generation and Hoax Danger in The Middle of The Community Rosy Febriani Daud; Khairunnisa Khairunnisa
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Currently, hoax news is easily spread on social media in seconds. Various kinds of Social Media that exist in cyberspace today, namely Facebook, Instagram, Line, Whatsaap, Telegram, Mechat, Hago, and others, can make it very easy for us to access news or get information compared to us getting information from print media such as newspapers, magazines, Tabloids and so on. The impact on society is very harmful, even severe. Hoax thrives on Social Media, sometimes, we can't prevent it. Fighting deceptions is part of the effort to provide education during the current Covid-19 outbreak. The younger generation can carry out simple socialization through education about hoaxes and start from the surrounding environment, namely family, colleagues, and neighbors. Especially now that almost all people in Indonesia use social media in the form of Whatsapp to facilitate the spread of hoax news. The hoax phenomenon is no longer a strange thing in Indonesia. The danger of hoax news makes people restless and anxious because the information received is not known for its truth or accuracy. Due to the rapid growth of communication technology, it can make hoaxes circulate quickly in seconds in the community through social media.

Study of the Transformation of New Forms in Development National Gallery of Indonesia Agus Budi Purnomo; Asep Rohman Hidayat; Rita Walaretina
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

The transformation of existing buildings at the National Gallery of Indonesia has undergone several transitions, ranging from colonial residences and educational spaces to exhibition spaces. This transitional need became an important consideration in terms of the function and identity of the word ‘National’ contained in it until finally, a proposal for the development of the National Gallery of Indonesia in 2013 was initiated, which focuses on exploring the mass of new buildings that support exhibition spaces with conservation considerations in mind. The form of the mass becomes visually unimportant because it can give a provocative and inviting impression. References are based on mass transformation, new mass response to sustainable buildings, and visual response to the front area. This research aims to explore new building forms of the National Gallery, which can be considered in the subsequent development process and the discourse on architectural forms in development buildings with elongated tread characters and sustainable buildings in the middle. The research method uses literature research and case studies. The data collection technique was carried out by literature observation. It was concluded that the eight study samples did not simultaneously have the second criterion (contrast - symmetric or dynamic - proactive) but rather the configuration form of the four criteria. Consideration of balanced form is dominant rather than different balance. While the application of rhythm is found in the principle of height difference resulting from the mass transformation process.

Acehnese Traditional Clothing Recognition Prototype System Design Based On Augmented Reality Chicha Rizka Gunawan; Nurdin Nurdin; Fajriana Fajriana
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Acehnese traditional clothing is one of the cultural heritages in Indonesia. In today's modern era, the problem faced is the lack of media to introduce cultural heritage in Aceh. Therefore, a media was formed that could introduce Aceh's traditional clothing, namely Southeast Aceh. The press utilizes Augmented Reality (AR) technology so that users can add virtual objects to the natural environment that are easy to use. In this study, a system design using Unified Modeling Language (UML) diagrams has been carried out, including use case diagrams, activity diagrams, and sequence diagrams. This system is built using the C++ language using the Unity application and the vuforiaSDK platform. Then the test results were obtained on the Southeast Aceh traditional clothing recognition application. Namely, the minimum distance that can display 3d objects is a distance of 5 cm, and the maximum distance that can be detected is 80 cm. Based on the test results in the distance test table, the best distance obtained, which results in the detection of markers that are still clear and bright, is at a distance between 5 cm to 70 cm. Meanwhile, at a distance of more than 80 cm, the marker cannot detect markers to display 3D objects because the distance between the camera and the marker is too far. Likewise, with the angular slope, the minimum angle of inclination detected is an angle of 0°, while the maximum angle of inclination detected is an angle of 75°. Based on the test results on the angle slope table, the best angle is obtained, which results in detecting markers that are still clear and bright at a distance between 0-60°. After that, testing is also carried out based on the lighting, where if the light is too bright or too dark, the camera cannot detect the marker.

Optimization of Small Run-of-River Hydropower Plant Capacity Khairullah Yusuf; Yulius Rief Alkhaly; Amalia Amalia
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

The small hydropower plant with a run-of-river concept are being increasingly adopted in less developed and developed countries. The optimization of the plant capacity is critical in the successful development of the plant. The adoption of the current technology will assist in the optimization of the plant development. The important criteria in the evaluation of the optimization are the energy output and plant factor of the plant. In this study, twelve scenarios by varying the installed capacity in range of 4MW to 7.5MW has been simulated in order to obtain the most optimum installed capacity of the plant. In respect to the installed capacity, by the adopting the same available net head of 246.75 m, the design flow would be in range of 1.872 m3/s to 3.510 m3/s with the probability of the flow exceeds or equal to the design flow in range of 29.2% to 8.9%. In the energy calculation, the amount of 0.063 m3/s has been deducted from the available daily flow for the ecological flow. It shows that the energy output for the plant 4MW and 7.5MW would be in range 23 589 MWhr to 28 636 MWhr, respectively. The plant factor of the plant based on all the scenarios are 67.32% for the 4MW plant and 43.59% for the 7.5MW plant. Based on the hydraulic parameters, it was found that the most suitable type of turbine for the plant would be pelton turbines. Based on the relationship between installed capacity, energy output and plant factor, it concludes that the optimum installed capacity is at 5 MW plant.

Supervised models to predict the Stunting in East Aceh Eva Darnila; Maryana Maryana; Khalid Mawardi; Marzuki Sinambela; Iwan Pahendra
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Nowadays, Undernutrition is the main cause of child death in developing countries. There are many people and organizations try to mitigate or minimize case of child death. Thus, this paper aimed to has excellent method to handle undernutrition case by exploring the efficacy of machine learning (ML) approaches to predict Stunting in East Aceh administrative zones of Indonesia and to identify the most important predictors. The study employed ML techniques using retrospective cross-sectional survey data from East Aceh, a national-representative data is collected from government by using 2019 about stunting data. We explored Random forest commonly used ML algorithms. Random Forest (RF) as an extension of bagging that in addition for taking random sample of data and also uses random subset of features which mitigates over fitting. Our results showed that the considered machine learning classification algorithms by random forest can effectively predict the stunting status in East Aceh administrative zones. Persistent stunting status was found in the east part of Aceh. The identification of high-risk zones can provide more useful information and data to decision-makers for trying to reduce child undernutrition.

Tokopedia and Shopee Marketplace Performance Analysis Using Metrix Google Light-house Suhaili Sahibul Muna; Nurdin Nurdin; Taufiq Taufiq
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

The development of the marketplace is growing very rapidly and has become familiar in the lives of Indonesian people. The term marketplace has also been imprinted in the general public as a place for buying and selling online without having to meet physically. In practice, the marketplace has also provided a lot of convenience and comfort in shopping, starting from transaction security and selection of varied shopping items, also equipped with estimates in shipping. It doesn't stop there; the development of the marketplace has also penetrated almost all products, including services, food, music, books, household products, airline tickets, and even investments that can be made in the marketplace. Google Lighthouse is a complex metric where the assessment includes in terms of Performance, Accessibility, Best Practices, and SEO, which is presented with a score of 0 to 100 in other words, Google will assess a website with a predetermined metric and then audit it to improve accessibility and SEO. a website. The results of this study are expected to be able to present actual analytical information based on the matrix determined by Google Lighthouse for future improvements where the Tokopedia marketplace gets a performance value with a yellow score of 85, which can be optimized by minimizing the speed index 3.7s, time to interactive 5.9s and total blocking time is 390s to be more optimal in terms of performance and Shopee has decreased in performance with a value of 13 red on first contently paint 2.8s, speed index 16.8s, time to interactive 26.5s, largest contently paint 16.3s, cumulative layout shift 0.484 and total blocking time of 1,710ms to be further assessed for optimal results. Based on this test, it can be concluded that Tokopedia is superior to Shopee from various aspects of the matrix tested.

Comparison of CSPDarkNet53, CSPResNeXt-50, and EfficientNet-B0 Backbones on YOLO V4 as Object Detector Marsa Mahasin; Irma Amelia Dewi
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

YOLO v4 has a structure consisting of 3 parts: backbone, neck, and head. The backbone is a part of the YOLO v4 structure that serves as a feature extractor from the image; the backbone is also a convolutional neural network that can be replaced with another convolutional neural network. Many backbones are recommended by previous research, such as CSPDarkNet53, CSPResNeXt-50, and EfficientNet-B0. Therefore, research needs to be done to determine the effect of different backbones on the YOLO v4 model. One of the research objects that can be used is a microfossil. Research on the detection of microfossils is fundamental to assist paleontologists in knowing the species of microfossils as a determinant of rock age and distinguishing between similar microfossils. In this research, three backbones consisting of CSPDarkNet53, CSPResNeXt-50, and EfficientNet-B0 were used to train and detect image sets of 5 species of foraminiferal microfossils. The results were evaluated to determine the advantages of each backbone. There are a few metrics are that being used for evaluation, namely precision, recall, f1-score, average precision (AP), mean average precision (mAP), frames per second (FPS), and model size. As a result, the mean average precision (mAP) of the CSPDarkNet53 model reached 83.41%, the highest compared to CSPResNeXt-50 and EfficientNet-B0, which get a value of 81,00% and 81,76%. CSPResNeXt-50 model has a precision of 75.60%, recall of 81.10%, and f1-score of 78%. CSPDarkNet53 model also got the highest FPS value of 33.4FPS. However, the YOLO v4 model with the EfficientNet-B0 backbone is the lightest model, with only 156.8 MB.

Android-Based Fashion Stylist and Event Outfit Application Heri Purwanto; Mohamad Gifahri Addiansyah; Fauzi Ramdani; Akbar Al Ghifari
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Fashion or style of dress as a form of self-expression, is closely related to the way people communicate values, personality, status, identity, and feelings to others. Adolescence is a period in which a person experiences considerable physical development where they are more sensitive to their appearance, today's teenagers enjoy trends that are appropriate for their time and strive to become a well-known trendsetter among their circles. The purpose of this research is to help the public, especially teenagers, to have knowledge about modern fashion trends in Indonesia. The application development method used is the agile method and the data collection techniques used are observation, interviews and literature study. The modeling language used is UML including Use Case Diagrams, Use Case Scenarios, Activity Diagrams, Class Diagrams and the programming languages that will be used are Java, Android Studio, then SQLite as a place for database design. The results of this study aim to develop an Android-based fashion stylist and event outfit application as well as assist in simplifying the process of choosing clothes that are suitable for use and can save time in choosing clothing ideas of interest so as to provide an overview of modern fashion in Indonesia and can be worn in accordance to the event Outfit to be attended, and according to the number of events to be held.

Comparison Analysis of Seismic Base Shear 23 Regencies in Aceh Province Based on SNI 03-1726-2012 and SNI 03-1726-2019 Rahmaini Rahmaini; Fitri Arianggi; Maizuar Maizuar; David Sarana; Khairullah Yusuf
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Aceh is one of the most earthquake-prone regions in Indonesia. It is, therefore, essential to design seismic resistance structures according to applicable standards. To reduce damage to building structures, the Indonesian government has updated the seismic-resistant design code for building and non-building structures. The seismic resistant design standard has been updated from SNI 03-1726-2012 to SNI 03-1726-2019 due to a significant change in spectrum response data. The purpose of this study was to evaluate and compare the impacts on the seismic base shear and the cross-sectional area of columns, beams, and tie beams of buildings in 23 regencies in Aceh Province based on SNI 03-1726-2012 and SNI 03-1726-2019. A typical five-story office building with medium-type soil is used in the study. For structural analysis, a particular moment-resistant frame was considered. The determination of the design response spectra is carried out by using coordinates and soil types through the website “indo spectra”. The method used is spectrum response analysis. Some different requirements in the two standards include the spectrum response curve, mass participation, and dynamic base shear. The study’s results revealed that the dynamic base shear in Sabang City had grown by 192.05 percent. Aceh Barat Daya Regency was observed to have the smallest increase in dynamic base shear, which was only 8.16 percent. The required cross-sectional area of structural columns, beams, and tie beams in Sabang City increased by 96%, 40%, and 44.44%, respectively; in the meantime, the required cross-sectional area of columns, beams, and tie beams in several regencies in Aceh province remained unchanged.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Dahlan Abdullah

Contact Email dahlan@unimal.ac.id

Phone +62811672332

Journal Mail Official ijestyjournal@gmail.com

Editorial Address Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351

Location Kota lhokseumawe, Aceh INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Dahlan Abdullah

Contact Email
dahlan@unimal.ac.id

Phone
+62811672332

Journal Mail Official
ijestyjournal@gmail.com

Editorial Address
Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351

Location
Kota lhokseumawe,

Aceh

INDONESIA