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All Journal CommIT (Communication & Information Technology) Humaniora ComTech: Computer, Mathematics and Engineering Applications
Alexander A. S. Gunawan, Alexander A. S.
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Humanities Computer Science & IT Engineering Mathematics

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Face Recognition Performance in Facing Pose Variation Gunawan, Alexander Agung Santoso; Prasetyo, Reza A
CommIT (Communication and Information Technology) Journal Vol 11, No 1 (2017): CommIT Vol. 11 No. 1 Tahun 2017
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i1.1847

Abstract

There are many real world applications of face recognition which require good performance in uncontrolled environments such as social networking, and environment surveillance. However, many researches of face recognition are done in controlled situations. Compared to the controlled environments, face recognition in uncontrolled environments comprise more variation, for example in the pose, light intensity, and expression. Therefore, face recognition in uncontrolled conditions is more challenging than in controlled settings. In thisresearch, we would like to discuss handling pose variations in face recognition. We address the representation issue us ing multi-pose of face detection based on yaw angle movement of the head as extensions of the existing frontal face recognition by using Principal Component Analysis (PCA). Then, the matching issue is solved by using Euclidean distance. This combination is known as Eigenfaces method. The experiment is done with different yaw angles and different threshold values to get the optimal results. The experimental results show that: (i) the more pose variation of face images used as training data is, the better recognition results are, but it also increases the processing time, and (ii) the lower threshold value is, the harder it recognizes a face image, but it also increases the accuracy.
Hubungan Deret Bertingkat Berdasarkan Bilangan Eulerian dengan Operator Beda Gunawan, Alexander Agung Santoso
ComTech: Computer, Mathematics and Engineering Applications Vol 2, No 1 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i1.2727

Abstract

Rank series defined as: is a generalization of the fixed rank series (the sum of powers), in which its closed solution has been found empirically by Jacob Bernoulli in 1731. This paper will explore the relationship between rank series and differential operator. To see this relationship, examples for the case m = 1.2 and α = 1.2. are provided. 
Pendeteksian Bagian Tubuh Manusia untuk Filter Pornografi dengan Metode Viola-Jones Senjaya, Benny; Gunawan, Alexander A. S.; Hakim, Jerry Pratama
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2447

Abstract

Information Technology does help people to get information promptly anytime and anywhere. Unfortunately, the information gathered from the Internet does not always come out positive. Some information can be destructive, such as porn images. To mitigate this problem, the study aims to create a desktop application that could detect parts of human body which can be expanded in the future to become an image filter application for pornography. The detection methodology in this study is Viola-Jones method which provides a complete framework for extracting and recognizing image features. A combination of Viola-Jones method with Haar-like features, integral image, boosting algorithm, and cascade classifier provide a robust detector for the application. First, several parts of the human body are chosen to be detected as the data training using the Viola-Jones method. Then, another set of images (similar body parts but different images) are run through the application to be recognized. The result shows 86.25% of successful detection. The failures are identified and show that the inputted data are completely different with the data training.
Pengembangan Program Aplikasi Enhanced Machine Control dengan Python untuk Metode Interpolasi Newton Gunawan, Alexander A. S.; Linggarjati, Jimmy
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2396

Abstract

Nowadays, one of industrial main problems is the flexibility of machines to be customized since they are designed based on certain standard. This research develops software for CNC (Computer Numerically Controlled) machine in order to execute the Newton Interpolation using Python. The platform used in the CNC machine is EMC (Enhanced Machine Control) and GUI (Graphical User Interface) AXIS on the operating system Linux Ubuntu. The Newton interpolation is used to create a curve based on several point determined by user. By converting this curve into G-Code, which could be read by CNC machine, the machine can move according to curve designed by user. This research is an initial study to customize the CNC machine and will continue to fulfill the user needs. This research obtained a program that is able to run well up to 4 input pairs. The higher number inputs will cause the oscillation in the interpolation curve.
TRADITIONAL AND CONVENTIONAL SOCIAL COMMUNICATION PROCESSES FOR INCREASING TOLERANCE AND HARMONIZATION OF INTER-RELIGIOUS COMMUNITIES IN INDONESIA Aras, Muhammad; Gunawan, Alexander A. S.
Humaniora Vol 10, No 3 (2019): Humaniora
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/humaniora.v10i3.6021

Abstract

This research focused on the social communication process for increasing tolerance and harmonization of inter-religious communities in Indonesia. This research method used the case study design. Research data of this case study were collected through observations and in-depth interviews. The results indicate that the process of social communication between religions takes place dynamically in the community. It involves mutual interactions and respect for each other according to social norms and values adopted by the local community. By interacting and respecting each other, the social life of the community can be maintained to be harmonious, safe, comfortable, full of tolerance and harmony, and coexist in religious, cultural, ethnic, racial, and ethnic diversity. Based on research findings, all can be done through the social communication process for increasing tolerance and harmonization of social life among religious communities in Indonesia that the process of social communication is directly referred to as traditional and conventional communication.
Color Extraction and Edge Detection of Nutrient Deficiencies in Cucumber Leaves Using Artificial Neural Networks Qur'ania, Arie; Harsani, Prihastuti; Triastinurmiatiningsih, Triastinurmiatiningsih; Wulandhari, Lili Ayu; Gunawan, Alexander Agung Santoso
CommIT (Communication and Information Technology) Journal Vol 14, No 1 (2020): CommIT Vol. 14 No. 1 Tahun 2020
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v14i1.5952

Abstract

The research aims to detect the combined deficiency of two nutrients. Those are nitrogen (N) and phosphorus (P), and phosphorus and potassium (K). Here, it is referred to as nutrient deficiencies of N and P and P and K. The researchers use the characteristics of Red, Green, Blue (RGB) color and Sobel edge detection for leaf shape detection and Artificial Neural Networks (ANN) for the identification process to make the application of nutrient differentiation identification in cucumber. The data of plant images consist of 450 training data and 150 testing data. The results of identifying nutrient deficiencies in plants using backpropagation neural networks are carried out in three tests. First, using RGB color extraction and Sobel edge detection, the researchers show 65.36% accuracy. Second, using RGB color extraction, it has 70.25% accuracy. Last, with Sobel edge detection, it has 59.52% accuracy.
Co-Authors Arie Qur’ania Hakim, Jerry Pratama Jamhari Jamhari Jimmy Linggarjati, Jimmy Prasetyo, Reza A Prihastuti Harsani Senjaya, Benny Triastinurmiatiningsih, Triastinurmiatiningsih Wulandhari, Lili Ayu