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All Journal Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi International Journal of Artificial Intelligence and Robotics (IJAIR)
Mohammad Zoqi Sarwani, Mohammad Zoqi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Library & Information Science

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Implementation of Virtual Reality in Game Platformer Suharyadi, Heri; Sani, Dian Ahkam; Sarwani, Mohammad Zoqi
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 5 No. 1 (2020)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (568.882 KB) | DOI: 10.25139/inform.v5i1.2327

Abstract

The realization of virtual reality is implemented on an application in the form of a game that will load the genre of platform games, where the genre of this game is highly respected by lovers of games on the Android platform. The hardware used to create virtual reality in this platformer game is an android device that has a gyroscope sensor, virtual reality cardboard, and computer devices. The software uses unity, blender, and Microsoft visual studio as a code editor. The making of this virtual reality game using the gyroscope sensor as full control of character movements that serve to minimize the device needed to play virtual reality games on Android to make it easier and more practical to play. The test results state that virtual reality can be implemented on Android games and the gyroscope sensor functions well as the main movement control in the game
Social Media Analysis Using Probabilistic Neural Network Algorithm to Know Personality Traits Sarwani, Mohammad Zoqi; Sani, Dian Ahkam
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2021)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.903 KB) | DOI: 10.25139/inform.v6i1.3307

Abstract

The Internet creates a new space where people can interact and communicate efficiently. Social media is one type of media used to interact on the internet. Facebook and Twitter are one of the social media. Many people are not aware of bringing their personal life into the public. So that unconsciously provides information about his personality. Big Five personality is one type of personality assessment method and is used as a reference in this study. The data used is the social media status from both Facebook and Twitter. Status has been taken from 50 social media users. Each user is taken as a text status. The results of tests performed using the Probabilistic Neural Network algorithm obtained an average accuracy score of 86.99% during the training process and 83.66% at the time of testing with a total of 30 training data and 20 test data.
OPTIMIZING K-MEASN ALGORITHM USING PARTICLE SWARM OPTIMIZATION TO GROUP STUDENT LEARNING PROCESSES Hariyanto, Rudi; Sarwani, Mohammad Zoqi
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi Vol. 6 No. 1 (2021)
Publisher : Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1208.578 KB) | DOI: 10.25139/inform.v6i1.3459

Abstract

In the implementation of learning, several factors affect the student learning process, including internal factors, external factors, and learning approach factors. For example, the physical and spiritual condition of students. Physiological aspects (body, eyes and ears and talents of students, student interests). External factors, for example, environmental conditions around students, family, teachers, community, friends) Thus, learning achievement is significant because educational institutions' success can be seen from how many students learning achievement. This research's first focus is to do student clustering based on their learning process using 11 parameters. Second, using the PSO algorithm to get maximum clustering results. The research data were obtained from vocational secondary education institutions in the city of Pasuruan. The data is obtained from the results of school reports and questionnaires as much as 100 student data. Data attributes include environmental features, social features, and related school features to group student data for learning data processing. From the classification results using the PSO method, the silhouette value is 0.97140754, very close. These results indicate that the PSO method can improve the K-Means clustering method's performance in the classification process of student learning interest. 
Knowing Personality Traits on Facebook Status Using the Naïve 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2169.831 KB) | DOI: 10.25139/ijair.v2i1.2636

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1378.483 KB) | DOI: 10.25139/ijair.v2i1.2653

Abstract

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.
Co-Authors Rudi Hariyanto, Rudi Salafudin, Muhammad Shubkhan Sani, Dian Ahkam Setiawan, Muhamad Agus Suharyadi, Heri