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All Journal Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Computer Science and Information Technology (CoSciTech) jeti Jurnal Sisfotek Global
Cut Lika Mestika Sandy
universitas islam kebangsaan indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Implementasi Metode K-Means Dalam Menentukan Mahasiswa Potensial Drop Out Cut Lika Mestika Sandy
Jurnal Elektronika dan Teknologi Informasi Vol 3 No 2 (2022): September 2022
Publisher : LPPM-UNIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5201/jet.v3i2.288

Abstract

Data mining is a process to find the pattern or interesting piece of information in selected data using the technique or certain methods. Techniques, the method or algorithm in data mining varies. In this research, the data mining is used to determine potential students drop out with using logarithm K-means. This system groups students at the Informatics of Engineering at University Islam Kebangsaan Indonesian, A generation 2019 until 2022. Data that are grouped into is the GPA (Grade Point Average) and the number of credits. That is needed by majors at the Informatics of Engineering at University Islam Kebangsaan Indonesian. Results from the system was a student groups critical market drop out. This system is expected to be able to help the way to know more students early critical market drop out and can take action to anticipate it. Keywords: Data Mining, Algorithm K-means, Drop out
RECOGNITION OF REALTIME BASED PRIMITIVE GEOMETRY OBJECTS USING PERCEPTRON NETWORK Cut Lika Mestika Sandy; Taufik Ismail Simanjuntak; Ajulio Padly Sembiring; Reyhan Achmad Rizal; Ona Rizal Fahmi
Jurnal Techno Nusa Mandiri Vol 20 No 1 (2023): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v20i1.4104

Abstract

The purpose of this study is to analyze the perceptron model on pattern recognition of primitive geometric objects in real time based on video images. The samples used in this study were cubes, prisms, tubes and balls. The system was built using the Delphi 7 programming language with pre-processing stages system training includes the process of calculating matrix values from the original image, then proceed with the grayscale and edge detection processes using convolution with a kernel, namely the sobel operator and then the matrix results from the edge detection process are transformed using a perceptron network to obtain energy from the image of the object, then the resulting energy The transformation is stored in the database as a system test reference pattern recognition energy. Measurement of system performance evaluation in this study uses two parameters, namely detection rate and false positive rate. The recognition rate of primitive geometric objects using the perceptron network model in this study reaches 60.00% to 80.00%. The detection rate percentage shows that this model can be used as a supporting approach for the recognition of geometric objects in video.
Sistem Informasi E-Voting Berbasis Web Menggunakan Metode RSA dan Base64 Cut Lika Mestika Sandy; Fadlisyah Fadlisyah; Reyhan Achmad Rizal
Computer Science and Information Technology Vol 4 No 1 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i1.4753

Abstract

The current problem being faced by Gampong Cot Girek Kandang North Aceh Village is that the selection of Keuchiek is still done manually. Manual selection has many obstacles, one of which is being vulnerable to fraud in voting results because the results cannot be displayed in real-time. Based on these problems, this research will propose an online voting system with web-based e-voting. The web-based e-voting system in this study was created using the RSA and Base64 cryptographic methods to secure voting results data. The results of the study show that a web-based e-voting system using RSA and Base64 is very good for use in the election of Keuchiek besides saving costs because it does not require too many officers and can increase public interest in conducting elections.
Recognition Of Chicken Species Through Sound Using Weierstrass Transform Cut Lika Mestika Sandy; Reyhan Achmad Rizal; Muhathir Muhathir
JURNAL SISFOTEK GLOBAL Vol 13, No 1 (2023): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v13i1.3442

Abstract

Voice recognition is an applied technique in the field of digital signal processing that has been widely used, such as technology in the field of telecommunications which is now able to provide data transmission services not only text but can also serve data transmission using voice. Speech recognition studies to date have only focused on human speech recognition, so it is important to develop research on speech recognition in animals. In this research a speech recognition system will be developed for balenggek, pelung and bekisar ornamental chickens using the Delphi 7 programming language and the weiertrass transform method. The performance evaluation measurement of the speech recognition system in this study uses two parameters, namely the detection rate and the false positive rate. The results showed that the speech recognition system for ornamental chickens using the weierstrass transform method had an average detection rate of 83.00% and an average false positive rate of 16%.
REAL TIME DETECTION OF CHICKEN EGG QUANTITY USING GLCM AND SVM CLASSIFICATION METHOD Cut Lika Mestika Sandy; Asmaul Husna; Reyhan Achmad Rizal; Muhathir Muhathir
Jurnal Techno Nusa Mandiri Vol 20 No 2 (2023): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v20i2.4735

Abstract

A common problem currently being faced in the chicken egg production home industry is difficulty in counting the number of eggs. Currently, calculating the number of eggs is still done manually, which is less than optimal and prone to errors, so many entrepreneurs often experience losses. The manual system currently used also has the potential for this to happen. The use of technology on an MSME scale among laying hen breeders has not been widely adopted, this is due to limited access and understanding of technology. One alternative solution to deal with this problem is to build a real-time computerized system. The system that will currently be built in this research uses GLCM feature extraction and the SVM classification method. This system will detect egg production via CCTV cameras and will be stored in a database to be displayed on the website. The advantage of this system is that egg entrepreneurs can monitor chicken egg yields in real time. The results of trials that have been carried out using GLCM feature extraction and the SVM classification method in calculating the number of eggs using the SVM method with a polynomial kernel are highly recommended for use in this research because it can achieve 95% accuracy.
Co-Authors Ajulio Padly Sembiring Asmaul Husna Fadlisyah Fadlisyah Muhathir Muhathir Ona Rizal Fahmi Reyhan Achmad Rizal Taufik Ismail Simanjuntak