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Brilliance: Research of Artificial Intelligence
Published by Information Technology and Science
ISSN : -     EISSN : 28079035     DOI : https://doi.org/10.47709
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Mathematics Other
Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest information about Artificial Intelligence. Submitted papers will be reviewed by the Journal and Association technical committee. All articles submitted must be original reports, previously published research results, experimental or theoretical, and colleagues will review. Articles sent to the Brilliance may not be published elsewhere. The manuscript must follow the author guidelines provided by Brilliance and must be reviewed and edited. Brilliance is published by Information Technology and Science (ITScience), a Research Institute in Medan, North Sumatra, Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 544 Documents
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Improving the Effectiveness of Heat Pipe solar Connector by using Nano fluid Mohammed Ridha H Alhakeem
Brilliance: Research of Artificial Intelligence Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i3.1716

Abstract

This article provides a thorough analysis of current developments in the use of nano fluids in the sun collectors with heat pipes. Theoretical, numerical, and experimental papers that are current and relevant to the Applications of nanotechnology in this class of solar collectors. To provide a thorough overview of the effect of the nano fluid in enhancing heat pipe solar collectors, a large body of literature has been thoroughly researched and summarized. The effectiveness of heat pipe solar collectors can be significantly increased by using nano fluid, it was discovered certain tools.
Application of Artificial Intelligence in Mechanical Engineering Mohammed Ridha H Alhakeem; Dirja Nur Ilham
Brilliance: Research of Artificial Intelligence Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i3.1719

Abstract

The use of artificial intelligence (AI) is becoming more prevalent across many industries. Examples include intelligently based control, intelligently based mechanical systems, pattern recognition-based systems, and knowledge processing. Method/Statistical Analysis: In this paper, an extensive review was conducted on the applications of ANN in intelligent mechanical engineering systems, including fault diagnosis in machines, mechanical structure analysis, and geometry modelling of mechanical structures, mechanical design, and its optimization. Findings: The adaptation of artificial neural networks (ANN), particularly in the field of mechanical engineering, is still in its early stages of development. This paper highlights the different ways artificial neural networks (ANNs) are used in intelligent-based systems, as well as the potential for reducing costs and time and obtaining more efficient systems for mechanical-based design and defect detection. Application/Improvements: This work will be improved in the future by adding more AI applications to the design of mechanically based systems.
A study of undergraduate ELT students' motivation in Libya Abdalmonam Hassan Saleh Alkorbow; Wegdan Saad Eldeeb
Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v1i2.1767

Abstract

Learning languages requires desire and practices from the learners; one of the major things that guide better learning is motivation in learning process to be more skilful. Thus, this study attempts to describe and examine students’ motivation of ELT undergraduate students in Tripoli University in Libya. The main purpose of this study is to examine students' intrinsic and extrinsic motivation toward learning English as a foreign language in Libya.The study tries to find out those factors that may affect the students' motivation negatively. In the study, 150 ELT Libyan undergraduate students (121 males & 29 females) participated fill the questionnaire to figure out the students’ tendency throughout the extrinsic motivation to investigate what affects their English learning process and how to motivate undergraduate students from the ages between 17 to 25 years in various levels range from 1st to 4th year. Unpredictably, the data discovered that the students have a higher degree of extrinsic rather than intrinsic motivation. The results were not expectable; the study's findings were unusual as Libyan students' integrative orientation was higher than their instrumental motivation.
The Comparison of Decision Tree and K-Nearest Neighbor Performance for Determining Mustahik Noor Amelia; Winda Aprianti
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2953

Abstract

The problem of poverty is one of the fundamental issues of concern to the Indonesian government. One of the methods used by Islam to alleviate poverty is through zakat from Badan Amil Zakat Nasional (BAZNAS). Currently, the distribution of zakat is divided into two, namely in the form of consumptive zakat and productive zakat. Productive zakat is aimed at people who need business capital. To assist zakat managers in managing their funds, a mechanism is needed that can process mustahik data so that it can be selected more quickly and precisely using data mining. In this research, the data mining methods that will be used are K-nearest neighbor (KNN) and Decision Tree. The dataset used in this research is data obtained from BAZNAS and has been preprocessed to obtain a dataset with 7 attributes and 144 records. Decision trees, KNN Manhattan, and KNN Euclidean are used to predict mustahik candidates who are worthy of receiving zakat. The performance of the third method was tested using AUC and confusion matrix namely Accuracy, Precision, Recall, and F1 in each dataset split scenario of 70%:30%, 75%:25%, and 80%:20%. Based on the number of false positive and false negative results, the best performance obtained is KNN Euclidean with a dataset division scenario of 80%:20%.
Fiber Optical Network Damage Detection Passive Splitter 1:8 in ODC uses IOT Technology as a means of Real Time Reporting Aprinal Adila Asril; Uzma Septima; Ratna Dewi; Popy Maria; Deri Latika Herda
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2966

Abstract

Fiber optic networks currently have a lot of interest, so a network monitoring system is needed that guarantees quality and speed of repair if mass disruption occurs. in research [1] regarding fiber network damage detection using IoT with the use of a 1:4 splitter and the use of a detector that can work at a wavelength of 650nm so that it can detect damaged cables with output in the software. So in connection with this, the author wants to develop the results of this research by using a 1:8 splitter and carrying out detection using the LDR sensor and NodeMCU ESP32 using IoT (Internet of Things) technology. The ESP32 NodeMCU will receive data in the form of light intensity values ??at each ODC from the LDR sensor. And then sent to a database that is connected directly to the Android application. The cable identification process occurs in three states: normal, warning, and error. The test and analysis results show that the hardware device can work well, with attenuation in the passive splitter cable of 10.28 dB and a light source with a wavelength of 650 nm. Cable detected as damaged is indicated by an output in the software with a delay of 4.56 s.
Installation and Activation of Fiber To The Home (FTTH) Networks and Macrobending Problems in the Feeder Cable Segment Yustini; Aprinal Adila Asril; Herry Setiawan; Popy Maria; Silfia Rifka
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2967

Abstract

Macrobending is a form of disturbance in Fiber To The Home (FTTH) networks that occurs due to macro-level bending of the cable caused by damage to the fiber optic. Macrobending frequently occurs in FTTH networks within the feeder cables. Feeder cables serve as connectors between the Optical Line Terminal (OLT) and Optical Distribution Cabinet (ODC) in the FTTH system. The occurrence of macrobending in feeder cables affects the quality of the FTTH network. In this study, the impact of macrobending is analyzed based on curvature diameters of 50 cm, 25 cm, and 5 cm on feeder cables before and after FTTH network activation. Before FTTH network activation, the High Super Luminescent Diode (HSL) is used as the input power source, whereas after activation, the input power source comes from the OLT using Small Form-factor Pluggable (SFP) modules. The attenuation (loss) before activation due to macrobending, with curvature diameters of 50 cm, 25 cm, and 5 cm, is found to be 0.02 dB, 0.05 dB, and 0.26 dB, respectively. After activation, the attenuation with the same curvature diameters is measured as 0.01 dB, 0.02 dB, and 0.20 dB, respectively. It is observed that as the curvature diameter decreases, the attenuation increases. The comparison of attenuation before and after network activation doesn't show a significant difference because the input power doesn't affect macrobending, rather it is influenced by the curvature diameter.
Design of a Rice Weighing Tool with Sound Output Using Arduino Uno Alfianda; Nurul Hamdi
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2968

Abstract

Technological developments are currently growing increasingly widespread. This causes conventional equipment to be replaced with more sophisticated and fully automated equipment. This research aims to implement the design of a rice-weighing device with sound output using Arduino Uno. Meanwhile, the benefit you get is knowing the weight of the rice to be weighed and being able to simplify the process of selling rice for traders who sell rice. The research method for this tool uses input, output, and control processes. The load cell functions as an input that calculates the weight, the Arduino functions as a controller for all circuits, and the player and LCD are outputs that display prices. This rice weighing tool is designed in the form of a digital scale which aims to simplify the process of reading the weight of rice on the scale. The test results of this digital scale are that when the weight of rice is above 500 grams, this tool produces a sound output and displays the total price according to the importance of the rice.
Designing E-Commerce Applications for Mobile-Based Audioo Technics Stores Muhammad Fajar Fikri; Nurul Hamdi
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2971

Abstract

It seems that existing technological advances have not been utilized equally by business actors, one of which is the Audi Technics Store. Audio Technics Shop is an electronics shop that sells various audio-based tools. In its marketing activities, this shop still uses a conventional marketing system which is carried out directly through the shop. The obstacle faced is the difficulty of reaching a wider range of customers. This research aims to design a mobile-based AudioTech e-commerce application that can be accessed online by customers at the Audio Technics Store. This research produces a conclusion that the mobile-based e-commerce application designed for the Audio Technics Store can help product marketing and product sales activities online and more widely.
Axial Mode Helix Antenna to Amplify 4G LTE Signal in Rural Area: english Nasrul; Uzma Septima; Kelvin Andrian
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2985

Abstract

Rural areas that may still be difficult to get 4G signals are caused by the diversetopography of the region and uneven landscapes, especially in mountainous areaswhich result in weakness in signal reception in the area. To get 4G signal coveragein this area, it is necessary to have a repeater in the form of an antenna thatfunctions as a signal booster in the area. In this study, a helix antenna consistingof ten windings at the uplink (1710-1785 Mhz) and downlink (1805-1880 Mhz)4G LTE frequencies was designed. It is hoped that this antenna can produce highergain and a more focused beam, with the aim of strengthening 4G signals in ruralareas. The antenna design was tested through the use of CST Studio Suitesoftware. The antenna design has been simulated using CST Studio Suitesoftware. After optimizing the simulation results, a return loss of -14 dB, VSWRof 1.49, a gain of 12.47 dBi, and HPBW of 500 were obtained. From themeasurement results obtained, the helix antenna with ten turns shows goodperformance at a frequency of 1880 Mhz with a return loss of -17.75 dB, VSWRof 1.32, gain of 12.15 dBi, HPBW of 440, and unidirectional polarization.
Use of the CodeIgniter Framework in Developing Online Registration and Pre/PostTest Education and Training Applications at BKA Aceh Widya Almaira; Nurul Hamdi
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2989

Abstract

This study analyses the use of the Codeigniter Framework in developing an online training registration and pre/posttest application at the Aceh Civil Service Agency (BKA). The purpose of this research is to build an information system that can provide general information about training, as well as facilitate registration and pre/posttest online and real-time. This research uses the method of needs analysis and system design analysis. The results of this study indicate that the system developed can provide easy access to prospective participants to find out the training schedule. Admin can access data related to training schedules, participants, and committees, while the committee can manage pre/post test questions and exam results. The system allows participants to access modules and pre/posttests after registering. Exam result data can be used as a reference in decision-making related to job promotions that require training qualifications. In conclusion, the use of the Codeigniter Framework is effective in developing online registration and pre/posttest training applications at BKA Aceh.

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