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Bulletin of Computer Science and Electrical Engineering (BCSEE)
Published by Indonesian Scientific Journal
ISSN : -     EISSN : 27227324     DOI : https://doi.org/10.25008/bcsee
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Bulletin of Computer Science and Electrical Engineering (BCSEE) is a biannually peer-reviewed open access journal that covers the leading edge subjects and matters in the computer science, information systems and electrical engineering disciplines. The Journal stresses on academic excellence, research rigidity, knowledge distribution, and reciprocated scholarly efforts in order to endorse theoretical, experimental and practical research at national and international levels. The BCEE publishes research articles, review articles, short communications, letters, and technical notes that meet the broad-spectrum criteria of scientific excellence in the following research areas (but not limited to): Computer Science and Engineering Electronics and Communication Engineering Electrical and Electronics Engineering and Technology Information Technology Computer Applications Bioinformatics Instrumentation and Control Engineering Medical Electronics Engineering Mobile and Pervasive Computing Software Engineering VLSI Design Optical Communication Multimedia Technology Biomedical Engineering Communication and Networking Digital Signal Processing Biometrics and Cyber Security Embedded System Technologies Power Electronics and Drives Power Systems Engineering Electrical Drives and Embedded Control Big Data Analytics and Cloud Computing Computer Networks Engineering Database Technologies Robotics and Artificial Intelligence Techniques Soft Computing Techniques Ad-hoc and Sensor Networks Parallel, Distributed and Grid Computing Data Warehousing and Data Mining Machine Learning Algorithms Image, Signal and Video Processing Mobile Computing and Application Development Wireless Technologies Web Technologies Wind, Solar, and Renewable Energy Ubiquitous Computing and Embedded Systems U And E-service, Science and Technology System Security and Security Technologies Software Testing & Analysis Integrated Circuits & Systems Radio Frequency (RF), Microwave, An Millimeter-Wave Circuits Remote Sensing and Space Systems Space Plasma Electro-Dynamics Wave Propagation Social Networking and Analysis Hardware Engineering Computer Architecture and Organization Electrical Machines XML Web Services Electromagnetic Materials for RF and Microwave Applications Antennas Open Source Technologies in Operating System Enterprise Computing Information Security Bio-Inspired Computing Computer Science Applications Nano-Electro-Mechanical System Internet of Things (IoT) Photonics and Optoelectronics Information Engineering Cryptography and Network Security MEMS and Microsystems Solid-State Devices and Nanotechnology Computer Vision Electromagnetics & Acoustics Channel Coding Theory and Applications Energy Systems Digital Signal Processing Control, Intelligent Systems Design, Modeling, and Analysis (DMA) Integrated Circuits Micro/Nano Electro Mechanical Systems (MEMS) Physical Electronics Signal Processing Human-Computer Interaction (HCI) Information Storage Management Compiler Design Invisible Computing Biotechnology Fuzzy Logic and rough set theory E-Commerce Evolutionary algorithm Knowledge Management Artificial Neural Networks (ANNs) Simulation Techniques Solid-State Device Modelling and Simulation Analysis and Design of Analog Integrated Circuits Programming Languages Graphics and Visualization Computational Biology 3D Modelling and Rendering Audio Video Broad Casting Systems Nano-Scale Transistors Analog and Mixed Mode VLSI Design Genetic Algorithms and its Applications Particle Swarm Optimization Ant Colony Optimization Any other relevant topics.....
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 41 Documents
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The Implementation of Waterfall Method in the Development of Accounting Information Systems for Web-Based Savings and Loans Data Processing: Case study: Sompak Awe Jaya cooperative Nanda Diaz Arizona; Yulia Yulia
Bulletin of Computer Science and Electrical Engineering Vol. 3 No. 2 (2022): December 2022 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v3i2.1167

Abstract

The Sompak Awe Jaya Cooperative currently manages conventional data, namely recording every savings and loan transaction in a ledger, which is then summarized in Microsoft Excel. Calculations for financial transactions use a calculator, so it takes a long time to process them. So the authors are interested in designing a savings and loan information system at the Sompak Awe Jaya cooperative. The idea of this design is that the finance department can efficiently process savings and loan data, automatic financial calculations are carried out by the system, and membership registration through the application will increase work efficiency. Meanwhile, cooperative managers can track savings and loan activities, view financial transaction data, receive reports, and print existing reports and this system is accessed by two actors, namely admin and finance. Therefore the author aims to create an accounting information system for processing savings and loans so that data management is carried out efficiently and effectively and helps secure existing data because the data is stored in the database. This design uses entity relationship diagram modeling and logical record structure for database design while modeling system flow using user case diagrams, deployment diagrams, activity diagrams, and sequence diagrams.
Design of Short Circuit Indicator for Medium Voltage Systems Adil Alahmad
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 1 (2023): June 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i1.1176

Abstract

A phenomenon known as a short circuit occurs when the input terminals of a power source come into direct electrical contact with one another, which results in a very high flow of current. This results in the production of a significant amount of heat, which poses a risk to the system itself and those located nearby. So, it is vital to identify a short circuit problem and rapidly respond to it once it is identified. When connected, the Short Circuit Indicator automatically detects a short circuit in a circuit to which it is attached. We were able to show the short circuit in our circuit board by inserting a piece of wire that has a resistance value that is very low, almost equal to zero, and which, as a result, created a short circuit at the source connection. Three single-phase currents imply high voltage power line short faults. Zero sequence currents imply grounding failure. Line patrollers may see or hear short circuits or grounding issues on 3kV-40.5kV power distribution networks, switchgear, cable branching units, etc. Answer "What is a short circuit?" to study them. It's how? What time? and why? Short-circuit prevention. Short circuit (fault current) studies must be done to ensure that electrical system equipment can tolerate short circuit energy. Grounding shipboard equipment is difficult. Grounding the power transformer's return to the chassis eliminates direct wiring. Power supply load connects to transformer return. Overcapacity may damage equipment and endanger lives. Short circuits triggered many fires. Short circuits safeguard structures.
Effect of Variation in the Number of Blades on Turbine Rotation and Output Power at PLTPH (Picohydro Power Plant) Using a Kaplan Turbine Arnawan Hasibuan; Asran Asran; Sartika Yanti; Misbahul Jannah; Andik Bintoro; Ari Nrartha
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 1 (2023): June 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i1.1170

Abstract

The turbine can be a component that plays an important role as an energy converter that produces power in a picohydro power plant (PLTPH). The turbine used in this study is the Kaplan Turbine. The Kaplan turbine is a type of reaction turbine with a head of 1.58 m. This research examines the effect of variations in the number of blades on turbine rotation and output power in pico-hydro power plants (PLTpH) using Kaplan turbines so that voltage, current, power can be generated which affect the torque value and the efficiency obtained in the PLTpH prototype. This study aims to obtain a turbine runner with the number of blades that can produce the highest efficiency, so a variation of the Kaplan turbine runner is made with a number of blade runner variations, namely 4 blades, 6 blades, and 8 blades. The results showed that the addition of the number of blades produced the highest output with the number of blades 6 which produced a turbine rotation of 218.1 Rpm, generator rotation of 2433 Rpm, generator voltage of 19 volts, generator power of 1900 watts, and torque of 17.5 Nm. Nilai efesiensi yang dihasilkan yaitu 26,62 %. The results of this research are expected to be a reference and help improve human resources to develop power plants in rural areas, and open up opportunities for the community to develop small-scale power plants, namely pico-hydro power plants.
Systematic Literature Reviews on Rapid Application Development Information System Muhammad Anwar Fauzi; Herlandro Tribiakto; Anip Moniva; Fail Amir; Irsyad Khalid Ilyas; Ema Utami
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 1 (2023): June 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i1.1181

Abstract

Rapid Application Development (RAD) is one of the Software Development Cycle (SDLC) methodologies that are often used by development teams that prioritize time efficiency. The RAD methodology is considered as one of the methodologies that has the shortest completion time compared to other SDLC methodologies. This study aims to validate, update, and expand the previous discussion regarding the universal conditions of RAD model research in the world of software feature development. Objectives can be obtained using a narrative review procedure, which is applied to previously collected literature. This study aims to make conclusions about the model of the RAD methodology which is very effective, supports and constrains the RAD model, and is efficient compared to other development models. Not only that, this research also guides the universal stages in SDLC and the RAD methodology used to integrate these stages.
Identification of the Aquifer Layer using the Geoelectric Method in Teupin Batee Village, Aceh Besar Syafrizal Idris; Dian Darisma; Agus Hari Pramana; Nurul Aflah; M Sayuti; Nanda Novita
Bulletin of Computer Science and Electrical Engineering Vol. 3 No. 1 (2022): June 2022 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v3i1.1155

Abstract

The need for clean water around the world is related to the increasing population, especially in Teupin Batee Village, Aceh Besar District. In addition to surface water, groundwater is one of the potentials that can be utilized by the community, particularly for household needs. The purpose of this study is to identify the aquifer layer using the geoelectric method. One of the geophysical methods that can be used to map groundwater potential is the geoelectrical method based on the resistivity value of subsurface rocks. This study uses the Wenner-Schlumberger array because it can map subsurface structures both vertically and horizontally. From the results of the study, it was found that there are four different layers in this research area including, the top soil layer, hard rock, tuffaceous sand and sand layer as aquifer layer. The top soil layer is mixed with tuff, sand and volcanic breccia to a depth of 8 m with a resistivity value of 5-25 ?m. The Hard rock layer is at a depth of 8 m – 30 m with a resistivity value of 45-220 ?m. The tuffaceous sand layer has a resistivity value ranging from 25-55 ?m. While the sand layer or aquifer is at a depth of 10 m – 60 m with a resistivity value of <10 ?m which is separated by a layer of tuffaceous sand between the two aquifer layers.
Implementation of the Rapid Application Development (RAD) Method in the Development of Sales Applications at Coffee Shops Using the Apriori Algorithm: Case study: SIMERA Coffee Shop Nanda Diaz Arizona; Yulia Yulia; Rabiatul Adwiya
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 1 (2023): June 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i1.1178

Abstract

Simera Coffee is a small and medium-sized business that focuses on selling typical Indonesian coffee products in the form of coffee powder, where each type of coffee is obtained from specific and trusted suppliers to maintain coffee quality and consumer confidence. The problem is that business people must be able to set patterns in knowing item items, maximize data utilization, and store expenditure data without being analyzed in detail; moreover, difficulties in restocking, so product expenditure data do not know the pattern of the data. Sales transaction data is continuously increasing every day, causing the need for ample data storage. The apriori algorithm can be applied to a sales data management application or cashier application, which has the function of recording coffee powder sales transactions and, at the same time, providing the function of analyzing sales data contained in the database using the a priori algorithm.  
Investigation of the Dark Web Illegal Activities using Data Mining Approach Agus Pamuji
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 1 (2023): June 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i1.1179

Abstract

The rapid advancements in internet technology have opened up various avenues for illicit activities targeting users. These nefarious activities are carried out by anonymous individuals or groups, making identification and tracking a challenging task. Periodical updates to the content of the dark web are common, with alterations to concealed data often escaping detection. Consequently, the primary arduous tasks concerned the data mining framework and its impact on the classification accuracy with regards to illegal activities. In contemporary times, the constraint of dealing with considerations pertaining to the academia and the business environment has emerged as a crucial phenomenon. This paper encompasses an analysis of a web crawler designed for the dark web. The crawler is proficient not only in data collection and cleansing but also in storage, making use of a data-driven approach. Data mining is a potent technique that enables thorough investigation through exhaustive exploration of data, often revealing evidence of illicit activity. Consequently, the crawler has emerged as a focal point for enforcing automated classification of the amassed web pages into five distinct categories. The classification process involved the utilization of classifiers, specifically the Linear Support Vector Classifier (SVC) and Naïve Bayes (NB) for the categorization of pages. Furthermore, as per the probationary findings, the Support Vector Classifier (SVC) and the Naive Bayes (NB) algorithm demonstrated precision rates of 91% and 84%, respectively, in the presented sequence.
Implementation Of DeLone And McLean Models To Measure The Success Of Online-Based Tutoring System Dedi Saputra; Haryani Haryani; Artika Surniandari; Juniato Sidauruk
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 1 (2023): June 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i1.1180

Abstract

Online learning system or better known as tutoring "bimbel" online is one of the learning methods that are delivered electronically using a computer device or smartphone and connected to the internet. Online tutoring is designed to enable distance learning through the internet without having to come face-to-face with the teacher. Rumah Belajar is a learning portal prepared by the Ministry of Education and Culture containing more than 12,934 learning materials. This portal can be utilized by students as an alternative to getting learning materials, be it inside or outside school hours. This research uses DeLone and McLean success model which only uses variable information quality, system quality, service quality, and user satisfaction. From the results of questionnaire collection, as many as 100 respondents provided th e data information needed in this study. The data is processed with Structural Equation Modeling (SEM) application using AMOS22 application. It is expected that with this research can be obtained recommendations about the learning system or online learning guidance that is good and liked by many users.
Implementation of the Waterfall Method in Designing and Building an Income and Cost Management Information System: Case study: Limited Liability Company Adau Kapuas Arizona, Nanda Diaz; Yulia, Yulia; Adwiya, Rabiatul
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 2 (2023): December 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i2.1183

Abstract

Adau Kapuas is a company operating in the transportation services sector. In processing income and costs, Adau Kapuas Limited liability companies still use bookkeeping as a data collection medium, such as recording payment and expenses, which are processed starting from recording ticket sales and goods delivery transactions, which process passenger data and goods delivery data. The income obtained from tickets and delivery of goods and the total costs are then entered back into the computer. This proves the difficulty faced by Adau Kapuas, namely having to do work twice daily. This research discusses the application of income and cost processing at Adau Kapuas Pontianak. This application was designed using Netbeans IDE 8.2. It can process admin data, types of goods, types of income, costs, bus classes, destinations, ticket sales transactions, delivery of goods, income transactions, and cost transactions. The reports produced by this application include ticket sales reports, goods delivery reports, income reports, and cost reports. With the income and expense processing application, it is hoped that it can support the performance of Adau Kapuas Pontianak in processing income and expense transactions and presenting reports more easily, quickly, and accurately.   
Enhancing Rose Leaf Disease Detection Accuracy Using Optimized CNN Parameters Nabilah, Latifah; Nisar, Nisar; Amnah, Amnah; Arfida, Septilia
Bulletin of Computer Science and Electrical Engineering Vol. 4 No. 2 (2023): December 2023 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/bcsee.v4i2.1184

Abstract

The CNN model developed in this study demonstrated remarkable performance, achieving an outstanding validation accuracy of 99.96%. Through experimentation, it was found that employing the RMSprop optimizer with a learning rate of 0.001 yielded superior results compared to the Adam optimizer utilized in previous iterations. Additionally, increasing the number of epochs from 10 to 20 resulted in a significant enhancement in accuracy, highlighting the importance of iterative training for model refinement. Moreover, the implementation of Early Stopping proved to be a valuable technique, effectively conserving training time by halting the training process once optimal accuracy levels were reached. These findings underscore the efficacy of various optimization strategies in bolstering the performance of CNN models for rose leaf disease detection. The achieved accuracy rates signify a substantial advancement in disease detection technology, holding promise for enhancing agricultural productivity and ensuring plant quality. This research contributes valuable insights into the optimization of CNN parameters, paving the way for further advancements in automated disease detection systems in the field of agriculture.

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