cover
Article Per Year (5 Year)
All
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
International Journal of Engineering, Science and Information Technology
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 20 Documents
 1   2 
Search results for , issue "Vol 2, No 4 (2022)" : 20 Documents clear
Measurement of Warehouse Layout at Rice Refinery Using Shared Storage Method Defi Irwansyah; Cut Ita Erliana; Fredy Fariska Fahrudin; Muhammad Alfian
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.307

Abstract

PT. Kilang Padi Mutiara Refinery is a company engaged in rice production that produces rice, groats, and bran. The main product of this factory is rice. It can be seen in storage warehouse activities that they still experience problems with poor product placement due to irregular distances between placement and delivery areas caused by the preparation of products that are not based on inventory so that the products in the warehouse become narrower and seem messy, this triggers the accumulation of excess products. to damage the finished product packaging. Based on the existing problems, in this study, planning for layout improvements using the shared storage method was carried out to increase the effectiveness of the distance between doors to the storage area and better product placement. the steps of re-planning using the shared storage method begin by knowing the warehouse area, warehouse capacity, and other warehouse data, as well as collecting data by determining space requirements, determining space allowances, and the distance of the entrance to the storage area. From the data processing, the distance becomes more regular and can be known every distance. Based on the comparison of the initial layout and the proposal, it is known that the distance in the initial layout is 719.56 meters, while for the proposed layout using the shared storage method, the results are 593.33 meters with 13 product areas, with this loading and unloading activities become better and more effective.
Analysis of Delivery Data by Medical Staff Using The K-Means Algorithm in Sleman District Sefitriani Khasanah; Adinda Rifi Yanti; Dwi Puspa Sari; Imam Tahyudin; Dhanar Intan Surya Saputra
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.330

Abstract

The process of childbirth has many factors that result in the death of the baby and the mother during the delivery process, namely the lack of medical staff or health workers (midwife, doctor, or another paramedic). There needs to be an analysis of the delivery process assisted by medical staff. This analysis maps the readiness of medical staff with the needs in the field. Both natural and cesarean births have the same main goal, to make labor run smoothly and ensure that the mother and baby are safe. Deliveries assisted by health workers use secure, clean, and sterile equipment to prevent infection and other health hazards. The hope is to minimize the number of mothers who are not helped during childbirth. This study aims to analyze data on deliveries assisted by medical staff for case studies in Sleman District, Province of Yogyakarta Special Administrative Region, Indonesia, with the K-Means Algorithm. K-means is an unsupervised learning algorithm that has a function to group data into data clusters. This algorithm can accept data without any category labels, the learning process requires a relatively fast time, is quite easy to understand and implement, and the algorithm is quite popular. The research used 13,869 data in 2018. In 2019, the decrease in the number of mothers giving birth from 13,470 who were rescued was 13,469. The 2018 data produced 3 (three) clusters. In 2019 data produced 4 (four) clusters. With different levels of levels assisted by medical staff starting from the high, medium, and low groups.
Application of The Combined Method in Inventory Forecasting Electricity at PT PLN (Persero) ULP Sibuhuan Nasution, Aminulsyah; Badriana, Badriana; Bintoro, Andik
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.348

Abstract

The forecast of electricity consumption is a prediction of the use of electricity for the future by referring to the use of electricity in past data. Estimates of electricity consumption needs are intended to estimate how much electricity consumption is used by customers and must be provided by PT PLN (PERSERO) ULP SIBUHUAN as a provider of electrical energy services. Population growth occurs along with the development of an area, so it affects the demand for electricity and the need for electricity consumption. Load mapping must be done to maintain the continuity and distribution of electrical energy to customers. One way to preserve the continuity of service is to estimate electric power consumption using several forecasting methods. One of the methods that can be used is to combine several load forecasting methods called the combined method. The combined method is a model that incorporates various estimation methods, including econometrics, analytics, and trends, using historical customer data originating from BPS (Central Statistics Agency) Padang Lawas Regency and PT. PLN (PERSERO) ULP SIBUHUAN. The estimated load between 2021 and 2025 is 625,070,452 kWh, with an increase in electricity consumption of 20.7%, household expenses increasing by 1.8%, and business sector expenses by 1.35%. The method used is to calculate manually using Microsoft Excel to obtain forecasting values for population growth; increasing electricity consumption is very important for planning electric power generation, development, and planning of electric power distribution and mapping of loads on customers.
Product value analysis of processed kimpul products as an effort to develop local resources Endang Retno Wedowati; Fungki Sri Rejeki; Diana Puspitasari
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.319

Abstract

Kimpul (Xanthosoma sagittifolium) is one of the local products that produce non-rice carbohydrates that have the potential to be developed. The potential of kimpul tubers can be developed by utilizing it into various types of processed products to provide value. The kimpul tubers can be processed into kimpul chips, kimpul sticks, or other preparations. Meanwhile, kimpul flour can be processed into various products, including wet noodles, biscuits, cookies, pastries, or other processed forms. From the various diversification of processed products, it has the potential to be developed into food industry products. For this reason, it is necessary to analyze the value of the various preparations in terms of product performance and required production costs. The purpose of this study was to determine the performance of various kimpul preparations with various criteria, analyze the production costs of various kimpul preparations, conduct value analysis of various kimpul preparations based on performance and cost analysis, and provide recommendations for the type of product that is able to provide the best value. Product performance is based on the parameters of organoleptic properties, product attractiveness, product benefits, and product purchase decisions. The value of the product is analyzed based on the benefits of the product and the costs required to realize these benefits. The results of product value analysis show that products that have high benefits, but only require relatively low costs provide high product values. Alternative products that are recommended to be produced are kimpul chips, kimpul sticks, and kimpul cookies.
Design of MPPT Algorithms using Simulink Support Package for Arduino Hardware Channareth Srun; Phok Chrin; Sokchea Am; Bunthern Kim
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.397

Abstract

In this paper, the performance of the DC-DC converter is assisted by MPPT control in a comparison between Perturb & Observe (P&O) and Incremental Conductance (IC) using the Simulink Support Package for Arduino Hardware. In photovoltaic systems, the maximum power point tracking needs to be powered by PV panels. A microcontroller controls the power converter. Before it is designed, the system is first modeled and simulated using MATLAB/Simulink. The control software implements a pulse-width modulation signal generator embedded in the Arduino microcontroller. The many stages of design for these controllers are discussed, along with simulation and experimentation. The system is tested, and the irradiance varies from 500 w/m2 to 1000 w/m2. The results of this simulation and experiment show that the plan with MPPT and a P&O controller has a higher efficiency of PV power production.
Microcontroller-Based Gas Detection in Transformer Oil Nurmaisinta Harahap; Kartika Kartika
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.380

Abstract

The transformer is one of the essential parts of an electric power system. The distribution transformer is a part of the electric power system which plays a vital role in providing electrical energy services to customers. The increasing population and the development of the times make the need for continuous electrical energy. One of the causes of insulation failure in transformers is overheating in the central part. The transformer requires a cooling system to control the heat energy generated. Transformer oil is an insulating and cooling medium for the central part of the transformer. At the time of operation, some disturbances cause the emergence of gases such as carbon dioxide, ethane, and ethylene. The purpose of this study was to design a device for detecting levels of carbon dioxide (CO2), ethane (C2H6), and ethylene (C2H4) dissolved in transformer oil by displaying the ppm (parts per million) value for each gas. Atmega328 microcontroller is used for system control and as a data processor. The data is in the form of a voltage that the ADC microcontroller feature will change. This information is used to calculate the ppm value for each gas. The concentration of this gas will be displayed on the LCD control panel. From the results of this study, the DS18B20 sensor used has an error of 0.00315%, the MG-811 sensor has an error of 10,022, the MQ-6 sensor has an error of 7,918, and the MQ-2 sensor has an error of 9,356. This is indicated by the LCD output, which receives data automatically.
Web-Based of The Regency Apparatus Work Unit Application at the Communications, Informatics, and Encryption Service of Bireuen Regency in Aceh Province Rara Audia Utami; Rahma Fitria; Rini Meiyanti; Muhammad Ikhwani; Zalfie Ardian
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.389

Abstract

The Regency Apparatus Work Unit (SKPK) is an apparatus of the Regional Government (Provincial and Regency/City) in Indonesia. SKPK is the executor of executive functions that need to be coordinated for the success of government administration. The legal basis for the formation of the SKPK is in article 120 of Law No. 32 of 2004 concerning Regional Government. The Department of Communication,  Informatics, and Encryption Service (Diskominfosa) is an agency that is fully responsible for processing information within the Government in Indonesia. The purpose of this application is to collect the data in various offices in Bireuen Regency and store it in the database. The system is web-based that uses the PHP framework Codeigniter 3 and also using the Bootstrap framework. Initially, this study applied field research using the interview as the primary data and the Reports of the Evaluation on Accountability Performance at The Regency Apparatus Work Unit of Bireuen District as the secondary data. In developing the application, the waterfall is applied as a software model used. As the result, the application shifted the manual data processing into the system such as filtering the report based on a daily, monthly, and even yearly basis. In addition, they can check the status of their application data by entering the SKPK code that has been made. This SKPK application data collection information system was created with the aim of making data management orderly and checking the status of the Regency Apparatus Work Unit (SKPK) application easier and more precise.
Eggplant Disease Detection Using Yolo Algorithm Telegram Notified Sandika Wahyuni Nasution; Kartika Kartika
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.383

Abstract

Eggplant (Solanum Melongena L) is a type of seasonal vegetable. Eggplants vary in shape and color from white to green to purple. Facts prove that eggplant plants face several threats to their survival and growth, including disease disturbances such as leaf beetles, fruit rot, mealybugs, etc. One way to treat and monitor eggplant plants is to install a camera to capture accurate and fast image data. The image captured by the camera will be digitally processed, which can be used by deep learning methods on object recognition and evaluation system in eggplant plants. Digital image processing can present the color accuracy of leaves, and fruit stems in eggplant plants for solutions and innovations. Digital image processing is the study of image processing techniques. Processed images are still images or images captured with a model camera. In this study, the images taken were of colored leaves attacked by eggplant rot and brown stem rot. The color model used in this study to transform images to color uses the red-green-blue color function. This study uses the YOLOv4 algorithm implemented on a mobile computing device such as Raspberry Pi 4 to select images of eggplant plants captured by a camera. The image data that has been processed will produce results in plant disease diagnoses based on the image captured by the camera. The results will be announced immediately or announced on the Telegram application. We can then detect diseases in eggplant plants and provide immediate preventative measures for diseased plants to maximize yield.
Design Traffic Light of HCSR04 Sensor Fuzzy Logic Method Based on Arduino Mega 2560 Muhammad Dermawan; Selamat Meliala
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.386

Abstract

Modern technology is developing quite fast. Manufacturing, consumer electronics, and traffic management are just a few everyday tasks made more accessible by various technologies. Regular traffic signals work according to a set time or hour according to one road condition. Therefore, it is essential to time traffic signals at intersections so drivers must wait for the shortest time. In this study, we explore the feasibility of modeling a control system using the fuzzy Mamdani algorithm so that the timing of traffic lights at highway intersections can be adjusted in real-time. Each element, such as the number of cars, motorbikes, and road width, plays a role in determining whether or not a traffic light is activated. It is possible to get a red light that changes adaptively in response to road conditions by conducting tests with varying parameter settings. Based on the results of testing the system as a whole, it can be determined that traffic lights can prioritize the long green density first among the four lanes if the number of cars in one of the lanes is more, and those in the fewer lanes will take precedence over the more congested roads. That system testing is booming, according to design. Battery-free toy vehicles were deployed on each track for testing. The sensor will recognize the car as an object and interpret the data sent and received by the Arduino Mega processing system. The system will then analyze the density condition and display it on the LCD and sensor data, the length of the green traffic light, and the density condition.
Dominating the Space: Uncover the Existence of Street Vendors in Public Space, The case of Tengku Amir Hamzah Square, Stabat, Indonesia Bambang Karsono; Mohammad Shihadeh A. Arar; Irsanuddin Luthfi; Deni Deni
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.394

Abstract

The existence of street vendors tends to dominate public spaces, which is physically considered to affect the physical quality. Tengku Amir Hamzah Square (TAHS) in Stabat is a famous local public space. Its strategic location triggers the growth of street vendors who provide attractions for visitors. Initially, TAHS was designed not to provide a space for street vendors, and the local regulation said that the presence of street vendors was prohibited. The existence of street vendors in TAHS who occupy this public space has emerged with pros and cons. This phenomenon became the reason for this study to be conducted, specifically to uncover the pattern of temporary space and space-forming elements created by street vendors and their relationship with the public's interest in visiting TAHS. The mixed-method research approach is used in this study to disclose and analyze data descriptively. Mapping and observation were carried out to obtain quantitative data, including layout, the number of street vendors, merchandise types, and distribution patternshod of displaying. The elements that form public spaces implemented by street vendors are obtained through observations and photo-trekking, and 58 respondents were involved in the interviews. Findings indicate that the strategic location and fluent permeability to and from TAHS have made this potential street vendor attraction popular among the locals. The activity created in this area acts as a generator of movement, especially at night, attracting people to come and walk through the existing street vendor outlets, contributing to urban livability.

Page 2 of 2 | Total Record : 20

 1   2 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 5, No 4 (2025) Vol 5, No 3 (2025) Vol 5, No 2 (2025) Vol 5, No 1 (2025) Vol 4, No 4 (2024) Vol 4, No 3 (2024) Vol 4, No 2 (2024) Vol 4, No 1 (2024) Vol 3, No 4 (2023) Vol 3, No 3 (2023) Vol 3, No 2 (2023) Vol 3, No 1 (2023) Vol 2, No 4 (2022) Vol 2, No 3 (2022) Vol 2, No 2 (2022) Vol 2, No 1 (2022) Vol 1, No 4 (2021) Vol 1, No 3 (2021) Vol 1, No 2 (2021) Vol 1, No 1 (2021) More Issue