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 6 Documents
 1 
Search results for , issue "Vol 3, No 3 (2023)" : 6 Documents clear
Sentiment Analysis of Honkai: Star Rail Indonesian Language Reviews on Google Play Store Using Bidirectional Encoder Representations from Transformers Method Fitra Ramadhan, Zekri; Benny Mutiara, Achmad
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.462

Abstract

Online games are a type of entertainment that is done by humans to have fun and forget all the problems in everyday life. Honkai: Star Rail is a new online game application owned by miHoYo which is currently popular and widely downloaded on the Google Play Store. Reviews on the Honkai: Star Rail app are increasing over time so this makes it difficult for app developers to know past user reviews on their apps. Therefore, the author conducted a study to analyze sentiment towards Honkai: Star Rail application reviews in Indonesian on the Google Play Store using the Bidirectional Encoder Representations from Transformers (BERT) method to determine user sentiment towards the Honkai: Star Rail application and then processed further so that it becomes a record for developers, users, and prospective users of the Honkai: Star Rail application. This study uses Indonesian language review data from users of the Honkai: Star Rail application found on the Google Play Store website as many as 6000 reviews. The BERT method applied in this study consisted of data collection, dataset labeling, data preprocessing, dataset splitting, modeling, model training, and evaluation. Based on the evaluation results that have been carried out on the test data, 97 data are true positive with 27 data are false positive, 4 data are true neutral with 47 data are false neutral, and 381 data are true negative with 37 data are false negative. So, it can be concluded that the model still has difficulty predicting reviews with neutral sentiment but is good enough at predicting reviews with positive and negative sentiment. In addition, the accuracy of the model is 81% with a precision of 63% for positive sentiment reviews, 36% for neutral sentiment reviews, and 89% for negative sentiment reviews.
Sentiment Analysis Using Convolutional Neural Network Method to Classify Reviews on Zoom Cloud Meetings Application Based on Reviews on Google Playstore Refianti, Rina; Anggraeni, Novia
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.463

Abstract

Zoom Cloud Meetings is an application that is used to conduct video conferencing. On the Google Play Store, the Zoom Cloud Meeting application received a rating of 3.8, with 500 million more downloads as of March 2021. The application has many advantages, such as not being disturbed by pauses in conversation and having good video and audio quality. The advantages possessed by these applications require development so that application services are getting better. For this reason, user reviews are needed to see user satisfaction with the application so that they can determine services that can be developed in the future. Based on this, this research was created to create a web-based application that can classify user reviews of the Zoom Cloud Meetings application using the Convolutional Neural Network (CNN) method and calculate the accuracy value. This application is built using the Flask framework and the Python programming language. Model training is carried out using the TensorFlow library. Applications that have been made are then tested using two stages of testing, namely system testing with black box and data testing. Based on system testing, it was found that the website can run well, and for data testing using test data, the accuracy result is 91.5%.
Model of the Need for Road Service Improvement, Maruni Manokwari, Indonesia Parlindungan, Charlton; Mudjanarko, Sri Wiwoho; Setiawan, Muhammad Ikhsan; Wahyuni, Atik
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.473

Abstract

Roads are vital infrastructure for land transportation and one of the most critical aspects of development in the national and regional economy. According to the Central Statistics Agency for West Papua, the roads successfully built in West Papua Province were only 11,951,592 km until 2017. It comprises 1003.26 km, 2309,648 km, and 8,638,687 km of national, provincial, and regency roads, including Jalan Maruni - Manokwari City Limits. According to the Minister of PU-PR RI, this road type 2/2 UD length is 17.17 km and administratively connects two districts (West and South Manokwari). One of the areas in West Papua Province where the development of infrastructure, investment, and urbanization is very rapid is Manokwari Regency. In line with the change in government status, its development then changed the physical image of the region to become urban. It is because Sorong City has a strategic economic location concerning natural resources, high accessibility, and is the center of the provincial government, thus attracting other financial functions for investment. This movement burdens road infrastructure, and we need several alternative treatments to improve the service of the street segment above. The method is done through surveys of stakeholders on alternative handling, and then the results are analyzed using multiple linear regression. This research is expected to find alternative handling solutions to improve road services in this segment.
Analysis of the Relationship of Land Transportation with GDP Regional in the Construction Sector in Indonesia Prasetyo, M. Ferdi; Setiawan, Muhammad Ikhsan; Dwi Apriliani, Dora; Prasetijo, Joewono
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.474

Abstract

As the world's population increases, the need for a mode of transportation will increase, and the amount of transportation currently has positive and negative impacts. The positive impact is to help mobilize goods, people, and services. Negative impacts are traffic jams, air pollution, and accidents. This study aims to determine the relationship between land transportation and GDP Regional in the construction sector in Indonesia. The findings in this study indicate that (1) The relationship between GDP Regional for Construction and the length of State/National roads according to paved road surface has a deficient correlation level with a correlation interval value (0.105) with a Sig value (0.559 0.05). (2) The relationship between GDP Regional of construction and the length of provincial roads according to asphalt surface has a moderate relationship with a correlation interval value (0.527) with a Sig value (0.002 0.05), GDP Regional construction with a length of provincial roads according to gravel surface has a deficient relationship level with a correlation interval value (-0.271) with a Sig value (0.127 0.05).
Analysis of the Relationship Between Foreign Sea Transportation Visits and Gross Domestic Product Regional in the Processing Industry Sector Rifansa, Aditya; Setiawan, Muhammad Ikhsan; Dwi Apriliani, Dora; Prasetijo, Joewono
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.475

Abstract

Sea transportation is also very much needed in the processing industry for ships and passengers and the flow of goods. Suppose the incoming ship can be seen as a sender of goods or the processing industry itself. This is supported very well by the cargo and costs for sea transportation, with much cargo at a relatively low cost. Analyzing the relationship of foreign sea transportation with the regional GDP of the processing industry sector. From ship visits consisting of total and units to passenger visits consisting of passenger arrivals and departure, for variable analysis using correlation and hypothesis testing. The results of overseas sea transportation with the GDP Regional the processing industry are for the correlation results of ship visits from units (0.613) with a strong and total correlation (0.596) with a moderate correlation, for passenger arrivals (0.262) and passenger departures (0.280) both have a low correlation relationship, for the unloading flow of goods (0.607) has a strong correlation. So the visits of foreign sea transportation ships with the GDP Regional of the processing industry sector have a significant relationship of (0.00) from the unit or total ships; for passenger visits, both do not have a substantial relationship for passenger arrivals (0.141) and passenger departures (0.115). The flow of unloading of goods has a significant relationship of (0.00). The greater the number of ship visits and the flow of unloading of goods, the higher the GDP Regional of the Processing Industry Sector, but the increasing number of passenger visits has no relation to the GDP Regional of the Processing Industry Sector.
Economic Feasibility Analysis of Sawaibu, Indonesia Bay Bridge Construction Talaksoru, Alfred Sanny; Mudjanarko, Sri Wiwoho; Setiawan, Muhammad Ikhsan; Wahyuni, Atik
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.476

Abstract

Sawaibu Bay Bridge is located in Manokwari Regency and is 300 meters long. The west side is on the Jalan Pahlawan canal, and the east is towards Jalan Siliwangi. This study assesses whether the bridge construction project is feasible and finds alternatives or solutions. The analytical methods used are NPV, BCR, and IRR, which refer to the value of inflation by considering the tourist retribution and travel time analysis. The results will be used to conclude whether the first alternative to the project meets the financial feasibility requirements based on inflation. It shows NPV of 67,061,982,402, BCR 1,096, and IRR 30% ? MARR of 10%, which means that the first alternative is feasible to build.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2023 2023


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