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International Journal of Artificial Intelligence and Robotics (IJAIR)

ijair
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Published by Universitas Dr. Soetomo Surabaya

ISSN : - EISSN : 26866269 DOI : 10.25139

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

International Journal of Artificial Intelligence & Robotics (IJAIR) is One of the journals published by Informatics Department, Universitas Dr Soetomo, was established in November 2019. IJAIR a double-blind peer-reviewed journal, the aim of this journal is to publish high-quality articles dedicated to the field of information and communication technology, Published 2 times a year in November and May. Focus and Scope: Machine Learning & Soft Computing, Data Mining & Big Data, Computer Vision & Pattern Recognition dan Robotics.

Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan

Articles 75 Documents

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The prototype of A Forklift Robot Based on AGV System and Android Wireless Controlled for Stacked Shelves Suryowinoto, Andy; Wijayanto, Martian
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 1 (2020): IJAIR : May
Publisher : Informatics Department-Universitas Dr. Soetomo

The paper aims to build a prototype of an automatic forklift robot that can collect and place goods in the stacking shelves, that are monitored remotely using an Android-based device. The method used is AGV (Automated Guided Vehicle) on this forklift robot prototype to adjust its positions, by following a line that preset trajectory for stacking shelf positions, where this forklift robot can collect and place goods. Â The robot navigation system uses a photodiode for the line follower system, and for storage of goods, it uses the proximity sensors detecting the presence of goods on miniature stacking goods and decide where it can store a good or not on that designated cell of the stacking shelf. The miniature of stacking shelves is two by three cells. The control of the robot has two input controllers. One is on a robot itself. The other was on handheld based on Android operating systems, which control remotely using the wireless system with Bluetooth protocol. The results of the discussion on paper, the forklift robot could manage the task given as the predefined line to a followed parameter of stacking shelves with two by three-stack configuration for collect and place goods into their positions, the average time for the robot to collecting and placing goods on stacking from standing still position to stacking shelf then back to the robot origin position. It resulted in the shortest processing time around 43 seconds and the longest time around 45,3 seconds from the start position to stacking shelf position.

A LOF K-Means Clustering on Hotspot Data Muhima, Rani Rotul; Kurniawan, Muchamad; Pambudi, Oktavian Tegar
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 1 (2020): IJAIR : May
Publisher : Informatics Department-Universitas Dr. Soetomo

K-Means is the most popular of clustering method, but its drawback is sensitivity to outliers. This paper discusses the addition of the outlier removal method to the K-Means method to improve the performance of clustering. The outlier removal method was added to the Local Outlier Factor (LOF). LOF is the representative outlierâ€™s detection algorithm based on density. In this research, the method is called LOF K-Means. The first applying clustering by using the K-Means method on hotspot data and then finding outliers using the LOF method. Â The object detected outliers are then removed.Â Then new centroid for each group is obtained using the K-Means method again. This dataset was taken from the FIRM are provided by the National Aeronautics and Space Administration (NASA). Â Clustering was done by varying the number of clusters (k = 10, 15, 20, 25, 30, 35, 40, 45 and 50) with cluster optimal is k = 20. The result based on the value of Sum of Squared Error (SSE) shown the LOF K-Means method was better than the K-Means method.Â

Knowing Personality Traits on Facebook Status Using the NaÃ¯ve Bayes Classifier Sarwani, Mohammad Zoqi; Salafudin, Muhammad Shubkhan; Sani, Dian Ahkam
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 1 (2020): IJAIR : May
Publisher : Informatics Department-Universitas Dr. Soetomo

With the development of social media trends among students by using Facebook social media, students can communicate and pour out everything that is felt in the form of status. Personality is the character or various characters of a person - therefore, how a person to adjust to the surrounding environment for the achievement of communication smoothly. In the personality category, many things classify a person's category in the psychologist theory. In this exercise, the Big Five, the psychologist theory, is described in five codes, namely Openness, Conscientiousness, Extraversion, Agreeables, Neuroticism. Naive Bayes Classifier is used to determine the highest probability value with the aim to determine the highest value. The data used are two namely training data and testing data obtained from the Facebook status of students. From the data obtained can be tested in the system that the accuracy value is 88%.

An Implementation of MMS Steganography With The LSB Method Sani, Dian Ahkam; Sarwani, Mohammad Zoqi; Setiawan, Muhamad Agus
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 1 (2020): IJAIR : May
Publisher : Informatics Department-Universitas Dr. Soetomo

Around the world, the internet (interconnection network) has developed into one of the most popular data communication media. With a variety of illegal information retrieval techniques that are developing, many people are trying to access information that is not their right. Various techniques to protect confidential information from unauthorized persons have been carried out to secure important data. Steganography is a science and art for writing hidden messages so that no other party knows the existence of the message. The three results of tests conducted by the LSB method can be used to hide messages into images. The first test was successful by writing a message that less than 31 characters stored in the picture, the second succeeded in writing a message equal to 31 characters stored in the picture, the third failed to write a message of more than 31 characters stored in the picture.

An Automatic Sliding Doors Using RFID and Arduino Kristyawan, Yudi; Rizhaldi, Achmad Dicky
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 1 (2020): IJAIR : May
Publisher : Informatics Department-Universitas Dr. Soetomo

Â The door is an important component in a building as security. It is used as access in and out of a room. People in the modern era now want everyday life that is completely automated, so that the work can be done easily without wasting energy and can shorten the time. Along with the rapid development, the need for effectiveness and efficiency is prioritized in various fields. The purpose of this paper is to design an automatic sliding door that only detects one Radio Frequency Identification (RFID) card to open and close. The use of RFID systems can strengthen the security level of building access. This study uses a data processing method in the form of an ID number generated from a tag. Specifications in the discussion of the results in this study include a motor that uses a 12-volt DC motor, a maximum door weight of 5 kg, can only detect one RFID to open and close the door, and the sliding door used is one door. The results of system testing are obtained to open a door that is without load, and the door can move 14 cm from the distance of the door hole so that it opens. Doors with a load of 1-1.5 kg also move 14 cm from the distance of the door opening when open. Doors with a load of 2-3 kg only move 12.5-9.5 cm from the distance of the door so that it opens. When the door gets heavier 3.5-4 kg, the door moves only 7.5-3 cm from the distance the door hole remains closed.

Comparison of Clustering K-Means, Fuzzy C-Means, and Linkage for Nasa Active Fire Dataset Kurniawan, Muchamad; Muhima, Rani Rotul; Agustini, Siti
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 2 (2020): IJAIR : November
Publisher : Informatics Department-Universitas Dr. Soetomo

One of the causes of forest fires is the lack of speed of handling when a fire occurs. This can be anticipated by determining how many extinguishing units are in the center of the hot spot. To get hotspots, NASA has provided an active fire dataset. The clustering method is used to get the most optimal centroid point. The clustering methods we use are K-Means, Fuzzy C-Means (FCM), and Average Linkage. The reason for using K-means is a simple method and has been applied in various areas. FCM is a partition-based clustering algorithm which is a development of the K-means method. The hierarchical based clustering method is represented by the Average Linkage method.Â The measurement technique that uses is the sum of the internal distance of each cluster. Elbow evaluation is used to evaluate the optimal cluster. The results obtained after conducting the K-Means trial obtained the best results with a total distance of 145.35 km, and the best clusters from this method were 4 clusters. Meanwhile, the total distance values obtained from the FCM and Linkage methods were 154.13 km and 266.61 km.

Switching Systems Designing Based on IoT Sani, Dian Ahkam; Fijriyah, Immilda Lailatul
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 2 (2020): IJAIR : November
Publisher : Informatics Department-Universitas Dr. Soetomo

The development of technology has progressed very rapidly in a short period, as has technology that has recently been developed in various aspects of life, namely the Internet of Things. In the past, controlling household electrical appliances was usually done directly by pressing a button on the house's wall and was very ineffective when the house owner was out of town while the house was empty. With the Internet of Things technology, a system can be applied in everyday life, namely controlling household electrical appliances to turn off and remotely using internet communication via an android smartphone. In this system design, a control design using a series of microcontrollers and relays connected to a smartphone via the internet is used because the microcontroller already has a Â Wireless Fidelity (WIFI) module. The results of controlled tests on household electrical appliances can run well. All components of the design of the device are well integrated with smartphones and the internet. Control can be done anywhere and anytime. System response during the day between 1-4 seconds and at night between 1-2 seconds.

Message Security Using Rivest-Shamir-Adleman Cryptography and Least Significant Bit Steganography with Video Platform Muhammad, Widad; Sulaksono, Danang Haryo; Agustini, Siti
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 2 (2020): IJAIR : November
Publisher : Informatics Department-Universitas Dr. Soetomo

All over the world, information technology has developed into a critical communication medium. One of them is digital messaging. We can connect and share information in real-time using digital messages. Without us knowing it, advances in message delivery are not only followed by kindness. Message security threats are also growing. Many unauthorized parties try to intercept critical information sent for the benefit of certain parties. As a countermeasure, various message security techniques exist to protect the messages we send. One of them is cryptography and steganography. Cryptography is useful for converting our messages into coded text so that unauthorized parties cannot read them. Meanwhile, steganography is useful for hiding our encrypted messages into several media, such as videos. This research will convert messages into ciphertext using the Rivest-Shamir-Adleman method and then insert them into video media using the Least Significant Bit method. There are four types of messages tested with different sizes. All messages will be encrypted and embedding using the Python programming language. Then the video will be tested using the MSE, PSNR, and Histogram methods. So we get a value that shows which message gets the best results. So that the message sent is more guaranteed authenticity and reduces the possibility of message leakage.

Automatic Garden Umbrella Prototype with Light and Rain Sensor Based on Arduino Uno Microcontroller Chandra, Yudi Irawan; Riastuti, Marti; Kosdiana, Kosdiana; Nugroho, Edo Prasetiyo
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 2 (2020): IJAIR : November
Publisher : Informatics Department-Universitas Dr. Soetomo

Park is a green open space widely used by the community to carry out various activities ranging from recreation, playing, sports, and other passive activities. Current weather conditions are often uncertain. This makes people inconvenient when it rains suddenly, especially when outdoors such as in parks. Because if they don't immediately take shelter when it rains, it can make the body sick, besides that, rainwater can damage the non-waterproof gadgets they carry. In other conditions, when the weather is bright, and the sun is shining hot, it can make people feel hot and lazy to do outdoor activities in the park. Therefore, an automatic umbrella tool was made that functions as a shelter in the garden. In this tool, there is a light sensor module and also a rain sensor, which is controlled with the Arduino Uno microcontroller as an input data processor and an L298N motor driver, which functions to regulate the speed and direction of the DC motor rotation (to the right and left) as an umbrella drive. When the motor rotates to the right, the umbrella will open, while when the motor rotates to the left, the umbrella will close again.

Traffic Light Automation with Camera Tracker and Microphone to Recognize Ambulance Using the HAAR Cascade Classifier Method Putra, Eldha Nur Ramadhana; Prihartono, Edi; Santoso, Budi
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 2 (2020): IJAIR : November
Publisher : Informatics Department-Universitas Dr. Soetomo

Lack of knowledge by road users regarding these priorities, especially when there is a passing ambulance that is often stuck in traffic at a crossroads due to accumulated vehicles and the traffic light is still red. The purpose of this paper is to simulate traffic light automation by giving a green light every time an ambulance passes by using the HAAR and Computer Vision methods. The HAAR method is used for training data from less sharp images as part of the Ambulance object classification process. The Computer Vision method is used as a tool in image processing objects to processing the image captured by the Camera. Hardware through the microphone performs pattern recognition to pick up ambulance sirens. The test result at the average frequency caught by the microphone is 1.3 kHz. The test results of the System to capture ambulance objects received a precision value of 75%, a recall of 100%, and an accuracy of 75%.

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Contact Name
Anik Vega Vitianingsih

Contact Email
vega@unitomo.ac.id

Phone
+6281332765765

Journal Mail Official
ijair@unitomo.ac.id

Editorial Address
Jl. Semolowaru no 84, Surabaya, 60118

Location
Kota surabaya,

Jawa timur

INDONESIA

Abstract

Abstract

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Abstract

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Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Anik Vega Vitianingsih

Contact Email vega@unitomo.ac.id

Phone +6281332765765

Journal Mail Official ijair@unitomo.ac.id

Editorial Address Jl. Semolowaru no 84, Surabaya, 60118

Location Kota surabaya, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Anik Vega Vitianingsih

Contact Email
vega@unitomo.ac.id

Phone
+6281332765765

Journal Mail Official
ijair@unitomo.ac.id

Editorial Address
Jl. Semolowaru no 84, Surabaya, 60118

Location
Kota surabaya,

Jawa timur

INDONESIA