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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 Articles sent to the Brilliance may not be published elsewhere.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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Evaluation of Indonesian Language Stemmer Algorithms: A Comparative Analysis Rumaisa, Fitrah
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5679

Abstract

Indonesian is a language with a large number of speakers and diverse vocabulary. One of the main challenges of Indonesian language processing is the presence of agglutinative morphology. This complexity makes it challenging for traditional stemming algorithms developed for European languages to accurately handle Indonesian words. This review focuses on several prominent Indonesian text processing algorithms that have been developed specifically for Indonesian, highlighting the contributions made by Nazief and Adriani, Asian, Arifin and Setiono, and the Enhanced Confix Stripping (ECS) stemmer. By examining these algorithms, we can better understand their methodologies, efficacy, and applications. The results of the study revealed that the ECS stemmer outperformed the other algorithms in terms of accuracy and efficiency. The ECS algorithm was able to strip affixes more effectively and accurately identify the root form of words, leading to improved text analysis and information retrieval. As linguistic technology continues to evolve, ongoing research into these methods will be crucial for advancing our ability to process Indonesian texts accurately and effectively.
A Comparative Study of Naive Bayes, Vader, and TextBlob Methods in Sentiment Analysis of ShopeeFood on Twitter Huda, Amirudin Khorul; Ramadhani, Surya Tri Atmaja; Puri, Fiyas Mahananing
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5687

Abstract

Twitter API tweets were utilized to analyze sentiments surrounding ShopeeFood using its algorithmic attachment. A contended sample of 2,500 tweets was gathered for Shapshot-1 in sample focus and was later cleaned and translated into English. The methods employed for the analysis include TextBlob, VADER, and Naïve Bayes classifiers. The analysis reconsolidated, yet again, that tweets, which, by and large, had neutral sentiments attached to them, as confirmed by Naïve Bayes out of 83 per cent accuracy attained. VADER's classification resulted in 85.08% of tweets being categorized as neutral, positive 9.4%, and negative 5.52%. All three constructs captured presented similar results, but the Naive Bayes model proved to be more favourable in terms of sentiment classification; despite such successes with VADER and TextBlob, feature selection and the changes from the translation left them a flaw within the analysis. These problems highlight the challenges posed by social media data, which is rife with casual language, slang, and emoticons. To overcome these challenges, future work should focus on employing neural network techniques that would bolster performance for sentiment classification on large corpora. Practices such as the collection of social media opinion sentiment within the pre-processing stages need more focus. More sophisticated models and advanced pre-processing methods can yield more fine-grained sentiment and opinion expressions on Twitter.
Implementation of Monsakun Problem-Posing to Enhance Elementary School Students' Conceptual Understanding of Mathematics in Indonesia Valentino, Rico; Munir, Munir; Siregar, Herbert
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5704

Abstract

This study was conducted to develop Monsakun, a web-based Problem Posing learning platform, through the Research and Development (R&D) method using the 4D model: Define, Design, Develop, and Disseminate. The main objective of this research is to create an interactive and effective learning tool that enhances students' ability to understand and apply concepts through systematic Problem Posing activities. The study responds to existing challenges in Problem Posing-based learning, which is often perceived as less engaging and insufficient in nurturing students' critical thinking and creativity. The research procedures included a comprehensive needs analysis, prototype design, product development, and testing for effectiveness. User experience was measured using the User Experience Questionnaire (UEQ) and System Usability Scale (SUS). The results indicated that Monsakun received an "Excellent" rating in terms of attractiveness, efficiency, accuracy, and stimulation. However, improvements are needed in clarity and novelty, particularly regarding user guidance and the integration of more innovative features. With an average SUS score of 86, the platform demonstrated a high level of usability, suggesting strong user acceptance and satisfaction. Overall, the findings show that Monsakun is effective in supporting students' learning outcomes, offering an engaging and user-friendly experience. Moreover, the R&D approach used in this study has proven successful in guiding the development of impactful educational technology, thus contributing meaningfully to the advancement of web-based learning media.
Identification of Fish Suitable for Consumption with Artificial Intelligence Method Using CNN and SVM Algorithms Sunduz, Ramadhanty Riqqa; Wibowo, Ari Purno Wahyu
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5728

Abstract

In the fishing industry, determining the freshness of fish is essential since it directly affects the quality of consumption and the viability of items on the market. The purpose of this research is to use Convolutional Neural Network (CNN) and Support Vector Machine (SVM) techniques to create an automated system that can determine the freshness of tilapia fish. Identification is carried out by analyzing the visual characteristics of the fish, in particular skin discoloration, which is the main indicator of freshness. The dataset used in this study was obtained from Kaggle, which covers various conditions of tilapia fish with different levels of freshness.Color conversion into RGB, HSV, and LAB formats to get more accurate color information, image normalization to normalize color intensity, and segmentation to highlight pertinent areas are all part of the pre-processing procedure used to increase the model's accuracy. While SVM is responsible for classifying fish into groups that are either acceptable or unfit for ingestion, CNN is utilized to extract features from fish photos. System testing is carried out by comparing model performance based on classification accuracy.The experiment's findings demonstrated that the CNN and SVM combination could accurately classify the freshness of tilapia fish, however performance was heavily reliant on the input image's quality. It is anticipated that this technology will replace less effective manual techniques, lessen human observational bias, and expedite the industrial fish freshness assessment procedure. With this artificial intelligence-based system, the fishing industry can improve the efficiency and accuracy of the fish sorting process, which can ultimately improve the quality of products consumed by the public.
Prototype of IoT-Based Fruit Alcohol Level Measurement Tool Nursila, Nursila; Ilham, Dirja Nur; Yunan, Amsar; Harahap, Muhammad Khoiruddin; Candra, Rudi Arif
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v1i1.1078

Abstract

The effect of alcohol on health is very large if you consume too much, and the fact that excessive alcohol levels can interfere with digestion can cause eye function disorders, decreased brain and nerve function as well as cancer. Knowing the alcohol content in fruits that are suitable for consumption by the body from an early age is very important. Based on this problem, this study aims to create a prototype measuring instrument for the alcohol content of fruits using the Blynk application. This circuit consists of 3 circuits, namely the input part in the form of an Mq3 sensor, the control part in the form of Nodemcu, and the output port in the form of the Blynk application. From the results of testing tools for four samples including durian, grapes, papaya, and apples for 25 times the test of the fruit is peeled for the next 2 hours the average percentage of durian alcohol content is 28.57%, grapes are 12.68%, papaya is 5.79 %, and apples by 18.6%. In this study, there is also the notification facility to the third smartphone that the alcohol content exceeds the alcohol content which is not good from the value set on the device.
IoT Based Paint Feed Process Monitoring System Implementation Shahrul; Budiansyah, Arie; Suryadi; Candra, Rudi Arif; Ilham, Dirja Nur
Brilliance: Research of Artificial Intelligence Vol. 2 No. 1 (2022): Brilliance: Research of Artificial Intelligence, Article Research February 2022
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i1.1492

Abstract

The increasing level of human mobility causes pets to be abandoned because humans have activities that cannot be left behind or work that must always be done, with this, pets, one of which is a cat, are often hungry because the caregiver is busy working and does not have time to feed the cat. This research is about designing an automatic cat feeder with a periodic monitoring system with a Nodemcu control system with two sensors, namely an Ir sensor and an Ultrasonic sensor with a telegram notification output. the working principle of the Sensors Ir 1 and 2 will detect a cat, if it hits the cat, the place for giving food and drink will open automatically while ultrasonic sensors 1 and 2 are for monitoring food and drink if food and drink do not hit the ultrasonic sensor it will enter a notification that the food and drink had run out. the conclusion of making this tool is to make it easier for cat owners to automatically feed cats.
Asynchronous Wind Turbine Generator: Output Power Evaluation Alhusein, Nasr Ismael
Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v1i2.1565

Abstract

In addition to photovoltaic (PV) power plants, wind turbine generators represent the most ubiquitous renewable energy use today. The stochastic and intermittent character of wind as a key source of electricity is one of the fundamental challenges associated with wind turbines WT. This paper describes an induction generator used in wind turbines. The implemented Turbine utilizes a straightforward output power against wind speed relationship to convert wind speed to turbine output power. When the wind speed is below or above the cut-in speed, the turbine produces no real power. Constantly, the machine consumes reactive power. This implemented block compensates for the machine's reactive power demand. Local load consumption is 75 kW. The electricity grid makes up for any shortage in wind turbine generation. When the generator's output exceeds 75 kW, the excess energy is exported to the grid.
Evaluation and Modeling of the Car Speed Control Process using a PID Controller Barood, Faraj Ahmed Elzarook; Eshtaiwi, Abdulsalam
Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v1i2.1705

Abstract

Car speed is an essential attribute for analysing the utility of a transport mode. The speed relationship between multiple modes of transport is of interest to traffic planners and operators. Nowadays, the cruise control system has become a common feature of modern cars. A car control system helps in providing comfortability to the driver while driving long-distance travel. Using a car control system, travelling on the highways has become easier than before because it reduces the mental and physical stress caused by regularly monitoring the speed of the car and frequently pressing the gas pedal to maintain the speed. This paper is aimed at modelling a car control system and examining its characteristics based on the PID control strategy. Proportional-Integral-Derivative (PID) controller provides a great way to stabilize systems. It has the ability to change the response of the system to be stable and reliable when it is used for controlling systems. This system is actualized with the help of MATLAB for simulation and control purposes. The paper showed that without the use of the PID controller, the speed was stable after 100 seconds, and when the controller was used and self-turned, the speed was approximately stable at 20 seconds, and this shows the effectiveness of using the PID controller.
A study of undergraduate ELT students' motivation in Libya Alkorbow, Abdalmonam Hassan Saleh; Eldeeb, Wegdan Saad
Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

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.
Designing Fiber Optic Network Infrastructure with FTTX Configuration Using Network Development Life Cycle (NDLC) Method in Solok Regency Septima, Uzma; Yolanda, Amelia; Chandra, Dikky; Uzhelia, Viorryn Aisha
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.4708

Abstract

In this research, the design of a GPON FTTH network using Google Earth, AutoCAD, and Optisystem applications was conducted in Nagari Rangkiang Luluih, Solok Regency. Fiber To The Home (FTTH) is a fiber optic technology architecture that delivers information from the provider to the user. The method used in this research is the Network Development Life Cycle (NDLC). The feasibility parameters used are Bit Error Ratio, Q factor, and Link Power Budget. There are 2 proposals and 2 designs for each area. From the results of the design and calculations using software, the best results were obtained for the first proposal for Nagari Rangkiang Luluih design 1 and 2, with an average Bit Error Ratio value for Downlink of 10-19 and for Uplink of 10-36, meeting the standard BER of 10-9. The Q factor values are 8.6521 for Downlink and 13.3908 for Uplink, meeting the Q factor standard of 6. And the Link Power Budget values are -19.045 for Downlink and -16.967 for Uplink, below the receiver sensitivity standard (Rx) of -28 dBm. The software calculations show that the proposed design 1 has a good network quality, is feasible, and meets the ITU-T G.984 standard. The total number of Homepassed is 234 houses or 234 ONT, 1 OLT, 4 ODC, 20 ODP for design 1 and design 2.

Page 23 of 55 | Total Record : 544

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