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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 118 Documents
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IMPLEMENTATION OF DOUBLE EXPONENTIAL SMOOTHING METHOD IN WORLD GOLD PRICE PREDICTION APPLICATION Hizamrul Jaen; Cindy Rahayu
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.1

Abstract

The constantly changing price of gold in the world can worry gold investors, so accurate and fast data is needed to respond to these changes. The role of technology and appropriate procedures is crucial in addressing these challenges. This research will discuss the Prediction of World Gold Prices as a Support for Gold Stock Investment Decisions Utilizing Time-Varying Prediction Algorithms such as Double Exponential Smoothing, which utilizes historical data as a reference in the prediction calculation. The historical data sample used in this study ranges from the beginning of September 2019 to the end of October 2019. From this research, it is expected to test the Double Exponential Smoothing method in predicting future world gold prices.
DESIGN AND DEVELOP AUGMENTED REALITY APPLICATION AS AN ANDROID-BASED INTERIOR DESIGN OFFER MEDIA Rahmat Idhami; Amri; Aswandi
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.2

Abstract

The use of augmented reality technology is increasing rapidly such as mobile android. This technology can be used as an interactive media offering, especially Interior Design offers. This study aims to determine the distance and angle and find out the differences in the application system in each application. Then this application will track and detect markers (markers) using the tracking system, after the marker is detected, a 3D object model appears above the marker as if the model were real. For this 3D model, the model must be made first using software. Applications are made using the markerless user defined target method and conducting tests on the utilization of this method using flat parameters, object shapes, distance, light and camera angles when tracking. The results of the test,
ANALYSIS OF HEAT TRANSFER CHARACTERISTICS OF TUBE BANKS ECONOMIZER USING NUMERICAL METHODS Mohd. Qobar; Ahmad Syuhada; M. Ilham Maulana
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.3

Abstract

The economizer is a heat exchanger that functions as a preheater for feed water in the boiler which is used to utilize flue gas which will improve the performance of the boiler by increasing the water temperature before entering the steam drum. The flue gas used comes from the furnace output which has a temperature of 1337oC, then the flue gas passes through the superheater with a temperature of 1070oC and enters the economizer with a temperature of 389oC. In order to maximize the use of the high temperature flue gas that enters the economizer, therefore in this scientific work we will analyze the heat transfer characteristics of the economizer in the MACCHI TITAN M package boiler at PT. PIM-2. This water tube type boiler has a capacity to produce steam of 120 tons/hour or 33. 3 kg/s with a pressure of 44 kg/cm2 and an economizer with a design surface dimension of 2345 m2, an in-line arrangement of tube banks, a tube diameter of 70 mm, a tube length of 1122 mm and a tube width of 2000 mm. Based on these data, an economizer will be analyzed by comparing the arrangement of tube banks and variations in the number of tubes (150, 200 and 250) in each tube bank using numerical simulation methods. From the simulation, it was found that the staggered tube banks with the 250 tube variation showed better heat transfer characteristics than the other variations, where the flue gas inlet temperature of 389 oC decreased to 257.7 oC and the increase in water temperature (H2O) from 110 oC increased to 193 oC or 75.45% of the inlet water temperature. tube length 1122 mm and tube width 2000 mm. Based on these data, an economizer will be analyzed by comparing the arrangement of tube banks and variations in the number of tubes (150, 200 and 250) in each tube bank using numerical simulation methods. From the simulation, it was found that the staggered tube banks with the 250 tube variation showed better heat transfer characteristics than the other variations, where the flue gas inlet temperature of 389 oC decreased to 257.7 oC and the increase in water temperature (H2O) from 110 oC increased to 193 oC or 75.45% of the inlet water temperature. tube length 1122 mm and tube width 2000 mm. Based on these data, an economizer will be analyzed by comparing the arrangement of tube banks and variations in the number of tubes (150, 200 and 250) in each tube bank using numerical simulation methods. From the simulation, it was found that the staggered tube banks with the 250 tube variation showed better heat transfer characteristics than the other variations, where the flue gas inlet temperature of 389 oC decreased to 257.7 oC and the increase in water temperature (H2O) from 110 oC increased to 193 oC or 75.45% of the inlet water temperature.
STUDY OF COORDINATION OF PROTECTION SYSTEMS ON LA 3 FEEDERS USING OVER CURRENT RELAY (OCR) AT PT PL RAYON, LANGSA CITY Dipo Rizky Amrullah; Subhan; Rudi Syahputra
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.4

Abstract

relay that works based on an increase in current that exceeds a certain safety value and a certain period of time. The main function of this overcurrent relay is to sense the presence of overcurrent and then give the command to the circuit breaker (PMT) to open. The working principle of the Over Current Relay (OCR) is a relay that works against excess current, it will work if the flowing current exceeds the setting value (Iset) or protection that works due to a short circuit between the phases. Basically, an overcurrent relay is a device that detects the amount of current flowing through a network with the help of a current transformer. The price or amount that is allowed to pass is called the setting.
IMPLEMENTATION OF THE EDAS (DISTANCE FROM AVERAGE SOLUTION) ALGORITHM FOR CLASSIFICATION OF MID-RANGE SMARTPHONE RECOMMENDATIONS Irshad Ahmad Reshi; Dr M Rajeswari; Ramadhana Juseva; Wahyu Fuadi; Zara Yunizar
Bulletin of Engineering Science, Technology and Industry Vol. 1 No. 1 (2023): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v1i1.5

Abstract

This research aims to help people choose the best smartphones at affordable prices in the range of 2-5 million using the EDAS (DISTANCE FROM AVERAGE SOLUTION) method. Visual language modeling such as UML is used to input smartphone lists and judgments from experts or smartphone brand sales regarding features such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera size, and others. The EDAS calculation process was carried out with 34 smartphone data samples from various brands such as VIVO, OPPO, Realme, Xiaomi, Samsung and Infinix which were taken from the GSM Arena API as the main source of data. To achieve this goal, visual language modeling is first carried out using UML (Unified Modeling Language) such as Class Diagrams, Use Case diagrams, and Activity diagrams. The concept of this application is to input a list of smartphones that interest the user and assess the specifications of the smartphone using the assessment of experts or parties experienced in selling and evaluating smartphones, such as assessments from sales of a smartphone brand. Weighting is also carried out by evaluating each specification such as brand, type, 3G, 4G, 5G, battery, RAM, ROM, camera megapixel size, telephoto, depth sensor, macro camera, monochrome camera, screen, screen type, processor, and processor type. Weighting is done on a scale from 0 to 10. Weighting from 0-10 is done to assess each specification. The results of the EDAS implementation are the 5 most recommended smartphones and the 5 least recommended smartphones. namely for the 5 most recommended smartphones Redmi 8 with a score of 1.2431, Infinix S5 Lite with a score of 1.2143, Infinix S5 with a score of 1.2143, Tecno i7 with a score of 1.1344 and Oppo F3 Plus with a score of 1.0397. also the least recommended smartphones are Infinix Zero 5 with a score of -2.0970, Redmi Note 7 Pro with a score of 0.2334, Vivo Z1 Pro with a score of 0.2628, LG W30 Pro with a score of 0.2922, Xiaomi Mi A3 with a score of 0.3120.
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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