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Bulletin of Engineering Science, Technology and Industry
Published by PT. RADJA INTERCONTINENTAL PUBLISHING
ISSN : -     EISSN : 30255821     DOI : https://doi.org/10.59733/besti
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering
Bulletin of Engineering Science, Technology and Industry | ISSN: 3025-5821 is a peer-reviewed journal that publishes popular articles in the fields of Engineering, Technology and Industrial Science. This journal is published 4 times a year, namely in March, June, September and December. We invite scientists, practitioners, researchers, lecturers and students from various countries and institutions to contribute to publishing their work and research results in the fields of Engineering, Technology and Industry.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2023): June" : 5 Documents clear
IMPLEMENTATION OF LONG SHORT TERM MEMORY (LSTM) ALGORITHM FOR PREDICTING STOCK PRICE MOVEMENTS OF LQ45 INDEX (CASE STUDY: BBCA 2017 – 2023 STOCK PRICE) Cindy Rahayu; Dahlan Abdullah; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.6

Abstract

This research aims to implement the Long Short Term Memory (LSTM) algorithm in predicting the movement of LQ45 stock prices. In this study, historical data of BBCA stock prices were used as an example of LSTM method implementation. The development process of the stock price prediction application begins with the collection of historical data, which then undergoes a preprocessing stage for normalization. The data is divided into training and testing sets, and transformed into suitable sequences for LSTM model input. The LSTM model is trained using the backpropagation through time algorithm and tested using the testing data. The predicted results from the LSTM model are compared with the actual labels using RMSE and MAPE metrics. Once satisfactory predictions are obtained, they are stored in a database and presented to users in the form of graphs and comparison tables. The implementation of LSTM in this research demonstrates prediction accuracy with an error percentage below 6%, with MAPE of 5.4772% and RMSE of 6.658%. Furthermore, the implementation of LSTM in the developed application using the latest historical data also yields low error percentages, with MAPE ranging from 3.7763% to 5.8048% for various stock price features. In conclusion, the LSTM method can be used for predicting stock price movements with satisfactory accuracy, providing valuable information for investment decision-making.
INFORMATION SYSTEM FOR DISASTER MANAGEMENT DATA PROCESSING AT THE REGIONAL DISASTER MANAGEMENT AGENCY (BPBD) OF NORTH ACEH REGENCY Hizamrul Jaen; Irham Fatriyandas Rufdo; Muhammad Irsyad Thoyib
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.7

Abstract

This research aims to address the pressing need for an efficient and comprehensive information system application for disaster management. Natural disasters can have devastating impacts on communities, and effective disaster management is crucial to minimize losses and ensure a swift and well-coordinated response. To meet this objective, the study develops a website-based application that manages critical disaster-related data, such as information on disaster victims, aid distribution, handling processes, and visual documentation (photos and videos) of the disaster. The design of the application incorporates three essential methodologies: Data Flow Diagrams (DFD), Entity-Relationship Diagrams (ERD), and Context Diagram. These methodologies ensure a clear and systematic representation of data flow, database structures, and system boundaries. By utilizing these tools, the researchers ensure the application's efficiency, effectiveness, and user-friendliness in managing disaster-related information. The research employs a mixed-method approach, combining quantitative and qualitative data collection techniques. Surveys, interviews, and observations are conducted to assess the application's usability, effectiveness, and impact on disaster management. Quantitative data is analyzed using statistical tools, while qualitative data is thematically analyzed to gain deeper insights into user experiences and perceptions.
APPLICATION OF TRIPLE EXPONENTIAL SMOOTHING METHOD FOR PREDICTING THE PRICE MOVEMENT OF CRYPTOCURRENCY ETHEREUM Maurizio Zanardi; Hizamrul Jaen
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.8

Abstract

An innovation that was sparked is an alternative currency to replace conventional currency, namely digital currency that is secured using a Cryptographic method called Cryptocurrency. However, Cryptocurrency prices cannot be controlled, causing massive fluctuations. Cryptocurrency price changes are very stable due to several factors such as speculation from users and the nature of the follow-up from new to one of the causes. The cause of this bandwagon is due to extreme price increases in a short time, even within a day the price of Crypto can experience a difference of millions of rupiah for each increase and decrease. To answer this question, we need a software that can predict the Rupiah exchange rate. The Mean Absolute Percentage Error (MAPE) for the Triple Exponential Smoothing implementation is 3.7249%. This method was utilized to predict the Rupiah exchange rate for Cryptocurrency, addressing the issue of price fluctuations in the Crypto market. Historical data, along with the specified parameters of 0.40 for Xt and S't, and 0.60 for Beta, were employed to generate accurate predictions. The process involved calculating first to third smoothing, determining Constants, Slopes, and Parabolics, and finally producing the Forecasting results. The MAPE value of 3.7249% indicates that the Triple Exponential Smoothing method exhibited relatively accurate predictions with a small margin of error when applied to a dataset of 50 data samples, ranging from May 2022 to June 2022.
D-ROOM: HOTEL BOOKING AND BEDROOM RENTAL APPLICATION FOR LHOKSEUMAWE AND NORTH ACEH REGIONS BASED ON ANDROID MOBILE Ian Wooton; Stephen Martin; Joko Saputra
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.9

Abstract

The hotel booking application, developed on the Android platform, presents a comprehensive and user-centric solution for accessing an extensive array of room information in the city of Lhokseumawe and the North Aceh Regency. Through its well-designed interface and intuitive functionalities, the platform offers users a seamless experience in searching, comparing, and booking accommodations that meet their specific needs and preferences. One of the application's key strengths lies in its capacity to aggregate a diverse range of room listings from various providers, encompassing hotels, guesthouses, and rental properties, all conveniently accessible within a single platform. This centralization of information empowers users with a plethora of choices, facilitating an informed decision-making process when selecting their ideal lodging. To ensure the utmost authenticity and credibility of the room listings, the application implements a robust admin review process for all submitted advertisements. This meticulous evaluation guarantees that only verified and genuine offerings are published, fostering a sense of trust and reliability among users. Additionally, the platform's user-friendly interface enables effortless navigation through the available listings, providing essential details such as room features, amenities, images, and transparent pricing for specific periods. Users can easily compare options, making it easier to find accommodations that align with their budget and preferences. By streamlining the booking process and offering a wide array of options, the hotel booking application aims to revolutionize how users access and manage room data. It empowers both travelers and property owners in Lhokseumawe and the North Aceh Regency by providing a valuable and efficient tool to optimize the booking experience and enhance customer satisfaction. Through this comprehensive solution, the application sets the standard for modern and convenient accommodation search and booking, contributing to a seamless and enjoyable travel experience for all users.
COMPARISON OF THE QUALITY OF THE MINISTRY OF COMMUNICATION AND INFORMATICS WEBSITE USING WEBQUAL 4.0 METHOD AMONG NON-IT BACKGROUND LAYPERSONS' PERCEPTIONS Alexander; Weihuan Zhou
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 2 (2023): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i2.10

Abstract

The assessment results reveal interesting insights into the perception of the Kominfo website's quality in Lhokseumawe City. The analysis highlights two distinct groups: the IT professionals and the general public/non-IT users. The IT professionals, comprising 20 respondents, gave positive evaluations, with an average EC score above 3, indicating that their expectations were largely met by the website. However, there were a few users who provided lower ratings, particularly in terms of mobile accessibility (QA16), indicating some difficulty in accessing the website via mobile devices. On the other hand, the general public/non-IT users from Lhokseumawe City, consisting of 45 respondents, exhibited a mixed perception. They recorded an average EC score of 7.652, showcasing a higher level of satisfaction with their expectations being met. Nonetheless, the average D score of 1.852 indicated a significant mismatch between their expectations and the website's actual performance. Despite this discrepancy, the overall website quality (OWQ) received a positive average score of 4.752, reflecting their relatively positive assessment of the website's overall quality. However, it is essential to consider the importance weight (IW) assigned by this group, with an average score of 1.59. This suggests that they gave relatively lower importance to some questions in the assessment. As such, certain aspects may require improvement to align better with their expectations. Overall, the results underscore the need for further enhancements to specific areas of the website, especially in terms of mobile accessibility, content comprehension, and addressing the mismatch between user expectations and actual performance. By addressing these aspects, the website can improve its overall quality and better cater to the diverse needs and preferences of both IT professionals and the general public/non-IT users in Lhokseumawe City.

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