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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Sirajuddin Hawari
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Membangun Mail Server Berbasis Linux Menggunakan Postfix dan Dovecot Sirajuddin Hawari; Abdullah Ammar; Ahmad Nur Ihsan Purwanto; Aaqila Dhiyaanisafa Goenawan
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 1 No. 1 (2022): Maret : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.929 KB) | DOI: 10.55606/jtmei.v1i1.781

Abstract

In today's era, information exchange is fast and can be done in various ways and one of them is using email. There are many free email service providers that can be used, such as Gmail, Yahoo Mail and Outlook. In addition to free services, email servers can also be used to serve communication between clients and transfer data over the local network using a custom domain for the company. The purpose of this report is to build your own email server using the server development method using the Linux Ubuntu 18.04 operating system and the software Postfix and Dovecot as its supports. The results of this mail server work can send emails from one user to another through the terminal directly correctly. Sending can be done directly using the terminal without creating a text first or creating a text before sending it. Both ways are equally successful in the main process in the mail server.
MINIMAX ALGORITHM BASED ON "MAIN INI YUK" GAME Sirajuddin Hawari; Muhammad Zulfikri Maulanab; Teuku Binzar Nawaf Musyaffa; Desy Komalasari; Mutiara Persada Pulungan
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2022): Maret : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v2i1.318

Abstract

In the game there are rules for each game. The rules are made as a challenge to achieve victory. To achieve victory requires analysis of the right algorithm in making decisions. Minimax is one of the best decision-making algorithms to be applied in a game. The time complexity of the minimax algorithm is O(b^m) which b is the branching and m is the depth.
MEMBANDINGAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION DAN LEARNING VECTOR QUANTIZATION DENGAN OPENCV PADA PENGENALAN WAJAH Muhammad Varriel Avenazh Nizar; Sirajuddin Hawari; Ahmad Nur Ihsan Purwanto
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 1 (2022): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.499 KB) | DOI: 10.55606/jurritek.v1i1.593

Abstract

Face recognition is an area that is still being researched and improved for various purposes such as attendance, population data collection, security systems and others. Two methods that are often used for face recognition applications are artificial intelligence methods, especially back-propagation neural networks (ANN) and learning vector quantization. Both of these techniques are directed learning techniques that are widely used to identify distinctive patterns, namely grouping patterns into groups of patterns, making them ideal for use in facial recognition applications. In this application, preprocessing of the input image includes the detection process of scaling, grayscale, edged with the sobel and threshold methods, carried out before the image is processed in ANN. Meanwhile, the ANN approach used to identify faces involves the Backpropagation method and the Learning Vector Quantization method. The findings of this analysis are a comparison of the backpropagation neural network method and quantization of the learning vectors of face recognition used to assess variations, limitations, strengths and optimal results of the two techniques for use in facial recognition systems.
Co-Authors Aaqila Dhiyaanisafa Goenawan Abdullah Ammar Ahmad Nur Ihsan Purwanto Desy Komalasari Muhammad Varriel Avenazh Nizar Muhammad Zulfikri Maulanab Mutiara Persada Pulungan Teuku Binzar Nawaf Musyaffa