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Brilliance: Research of Artificial Intelligence

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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 Articles sent to the Brilliance may not be published elsewhere.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 65 Documents

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Literature Study of Convolutional Neural Network Algorithm for Batik Classification Nardianti Dewi Girsang
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : ITScience (Information Technology and Science)

Batik is a hereditary cultural heritage that has high aesthetic value and deep philosophy. Currently, Indonesian batik has various types of different motifs and patterns, which are spread in Indonesia with their names and meanings. Batik classification uses Convolutional Neural Network as a pattern recognition method, especially batik image classification. The method used is a literature study, looking at studies from several journals regarding the Convolutional Neural Network Algorithm in Classification and providing conclusions about the usefulness of the algorithm. Analysis This literature study analyzes each journal from previous research related to the Convolutional Neural Network Algorithm in classifying Batik. The results of the analysis, conducted a discussion to better know the characteristics and application of Convolutional Neural Network in the classification of Batik. After discussing, this analysis ends with conclusions about the Convolutional Neural Network algorithm in classifying Batik. Based on previous studies, it can be seen that the convolution neural network can work well for image classification with large datasets. By evaluating the method that has been described by considering the architecture and the level of accuracy, namely getting an accuracy level of 100% with an image size of 128 x 128 and regarding the classification of batik, it shows that image size, image quality, image patterns affect the batik classification process.

Prototype of IoT-Based Fruit Alcohol Level Measurement Tool Nursila Nursila; Dirja Nur Ilham; Amsar Yunan; Muhammad Khoiruddin Harahap; Rudi Arif Candra
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : ITScience (Information Technology and Science)

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.

Design of Smoke Detector for Smart Room Based on Arduino Uno Dirja Nur Ilham; Rudi Arif Candra; Muhammed Saat Talib; Mario di Nardo; Khusnul Azima
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : ITScience (Information Technology and Science)

Smoke is one of the air pollutions that is very detrimental to the health of both the smoker himself and others around him. Inhaling other people's smoke is even more dangerous than inhaling your own smoke. Even the dangers that must be borne by passive smokers are three times greater than the dangers of active smokers. Smoke is also very detrimental to the health of patients in hospitals, especially patients who suffer from asthma. For people with asthma who have problems in the respiratory tract, asthma can recur at any time due to inhaling smoke. This research will develop a smart room that can detect smoke to maintain and protect the room from smoke that interferes with health. The tool to be developed uses an MQ2 sensor, LCD, exhaust fan, buzzer, and Arduino Uno microcontroller. Where an MQ2 sensor is needed to detect smoke around it, an LCD is needed to display the percentage of smoke, a microcontroller as a controller for all components, a buzzer is used as an alarm when the smoke level in the room is unhealthy, and the exhaust fan functions as a sucker for dirty air so that the smoke level in the room can be reduced.

Implementation of restaurant location searching Geographic Information Systems using Android-based local based services method Raja Nasrul Fuad; Hafni Hafni; Fadli Pratama
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : ITScience (Information Technology and Science)

Finding a restaurant location as a place to enjoy food becomes something that is very inconvenient, especially for tourists or food connoisseurs who are not familiar with the area. It takes several tools, especially the use of Android-based smartphones as an operating system that is very popular with the public lately. This research is expected to make it easier for users to find food in restaurants that users want. The use of this system is divided into two, namely admin and user (general users). This system is integrated with the existing GPS on the smartphone. This application also shows the distance traveled and time traveled by motorbike or car to the location and displays an estimate if using public transportation.

Opening Doors Using Internet Of Things (IoT) Based Face Recognition Wahyu Ariansyah; Dirja Nur Ilham; Khairuman; Rudi Arif Candra
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)

Face recognition is a digital image processing approach that uses face photographs as input to identify a person. Face recognition is important since the face is a person's primary means of identification because the shape of a person's face differs significantly, which is easy to do intuitively using the visual senses. Image processing, face detection, feature extraction, and classification are all aspects of the face recognition system, which seeks to determine whether the image obtained is a person's face stored in the database. Principles of operation If a human face appears in front of the camera, the system quickly executes a facial recognition procedure and compares the face to facial data kept on the website. If a face detected by the camera matches the face stored on the website, the solenoid will automatically be in the on position or the door will be open, and vice versa, if the face detected by the camera does not match, the solenoid will remain in the off position or the door will remain locked. This tool can be used to improve the security system on the door of a private room or a room that can only be accessed by certain people.

Literature Study: Highway Traffic Management with Sentiment Analysis and Data Mining Nurul Khairina; Muhammad Khoiruddin Harahap
Brilliance: Research of Artificial Intelligence Vol. 1 No. 1 (2021): Brilliance: Research of Artificial Intelligence, Article Research May 2021
Publisher : ITScience (Information Technology and Science)

In today's era, technology is growing rapidly, many of the latest technologies are in great demand by the Indonesian people, one of which is social media. Various social media such as Facebook, Twitter, Instagram, have become very popular applications for various ages, including teenagers, adults, and the elderly. Social media has a positive impact that can help people convey the latest information through posts on their respective accounts. Social media can disseminate information in a short time, this is why social media is an interesting application to research. The problem of road traffic congestion is strongly influenced by the number of vehicles that pass every day. A large number of private vehicles and public vehicles that pass greatly confuses the atmosphere of highway traffic. Congestion often occurs during working hours. Road congestion also often occurs when an unwanted incident occurs. Sentiment analysis algorithms and data mining algorithms can be combined to find information on traffic jams through social media such as Facebook, Twitter, Instagram, and other social media. The results show that sentiment analysis methods and data mining algorithms can be used to find information about current traffic jams through social media. The conclusion from this literature study can be seen that the K-Nearest Neighbor data mining algorithm is the best choice to overcome road traffic congestion, which will then be further developed in the form of highway traffic management modeling.

Smart Chicken Coop Control and Monitoring System Design Automatically with Smartphone Notifications Sri Novida Sari; Romulo Aritonang; Sumarlin
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)

Technological developments and industrial automation encourage humans to meet their needs quickly. So that robotics technology was developed to help ease human work in the future. The chicken breeder is a business that has great profit prospects because the consumption of chicken meat in the community increases every year. It takes good management of chicken farmers so that farmers can get good harvests. In this study, the author designed a monitoring system to monitor conditions in the chicken coop such as temperature, light, feeding, and drinking. The smart chicken coop system that the author designed uses Smartphone notifications so that the condition of the chicken coop can be viewed and controlled using a smartphone via the internet/wifi network.

Identification Noise monitoring for students in SMAN 1 Tapaktuan Alfy Ariswan; Dirja Nur Ilham; Rudi Arif Candra; Arie Budiansyah; Fauzun Atabiq
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)

A high school is a place that is used as a place for the learning and teaching process, so a comfortable place is needed from disturbances in the study room. The Design System for Noise Monitoring Devices as an Effort to Minimize Noise Based on the Internet of Things (IoT) is designed to create comfort in the learning and teaching process at SMAN Tapaktuan so that teachers can concentrate without disturbing the noise generated by students. This tool is controlled by nodemcu and a sound sensor as a noise detector with an appropriate output by sending notifications to the Blynk Application. How the tool works when the sound sensor detects a noise level between 30 dB to 49 dB then dfplayer will issue a warning in the form of a warning "this room is noisy" and send a notification to the blynk application with the text form "room A is noisy" if the sensor detects above 50 dB then a warning loud sound will be issued by Dfplayer in the form of sound and at the same time send notifications to the blynk application. The purpose of the tool Any noise detected by the sound sensor then dfplayer will issue a small or loud warning and send a notification to the blynk application.

Application of Association Rule Method Using Apriori Algorithm to Find Sales Patterns Case Study of Indomaret Tanjung Anom M. Hamdani Santoso
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)

Data mining can generally be defined as a technique for finding patterns (extraction) or interesting information in large amounts of data that have meaning for decision support. One of the well-known and commonly used association rule discovery data mining methods is the Apriori algorithm. The Association Rule and the Apriori Algorithm are two very prominent algorithms for finding a number of frequently occurring sets of items from transaction data stored in databases. The calculation is done to determine the minimum value of support and minimum confidence that will produce the association rule. The association rule is used to produce the percentage of purchasing activity for an itemset within a certain period of time using the RapidMiner software. The results of the test using the priori algorithm method show that the association rule, that customers often buy toothpaste and detergents that have met the minimum confidence value. By searching for patterns using this a priori algorithm, it is hoped that the resulting information can improve further sales strategies.

Design and Build a Soil Nutrient Measurement Tool for Citrus Plants Using NPK Soil Sensors Based on the Internet of Things Haristian Pratama; Amsar Yunan; Rudi Arif Candra
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)

A suitable planting medium is a medium of good quality soil that can support plant growth quickly. Fertile soil is the primary need for plants. The quality of the planting medium dramatically affects plant growth. The types of soil needed for plant growth vary, namely sandy soil, red soil, alluvial soil, and humus soil. Using an NPK sensor that functions to detect nutrients in the soil and can work if the tip of the sensor is plugged into the soil they want to detect, the results detected by the sensor will be sent in the form of analog signal data to nodemcu, which will be processed and displayed on the screen. Thingspeak. This tool is controlled by nodemcu with an NPK sensor to detect nutrients in the soil with output to thingspeak. The function of the NPK sensor tool will measure the nutrients in the soil for citrus seedlings, and the results read by the Npk sensor will be sent to the Thingspeak web, making it easier for farmers to seed citrus seeds. The data read by the sensor will be sent to thingspeak, making it easier to monitor nutrients in the soil. From the results of the tests carried out, it is found that the nutrient content in wet soil is higher than in dry soil; from the tests carried out, the NPK sensor accuracy rate is 90%.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Muhammad Khoiruddin Harahap

Contact Email
choir.harahap@yahoo.com

Phone
+6282251583783

Journal Mail Official
publikasi@itscience.org

Editorial Address
Medan

Location
Unknown,

Unknown

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Muhammad Khoiruddin Harahap

Contact Email choir.harahap@yahoo.com

Phone +6282251583783

Journal Mail Official publikasi@itscience.org

Editorial Address Medan

Location Unknown, Unknown INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Muhammad Khoiruddin Harahap

Contact Email
choir.harahap@yahoo.com

Phone
+6282251583783

Journal Mail Official
publikasi@itscience.org

Editorial Address
Medan

Location
Unknown,

Unknown

INDONESIA