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All Journal KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal ABDIMAS Budi Darma Bulletin of Data Science Ulead : Jurnal E-pengabdian JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi
Yasir Hasan
Universitas Budi Darma Medan
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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Pengukuran Kualitas Jaringan Internet Dengan Sinyal 3G Lte Pada STMIK Budi Darma Medan dengan Metode Quality Of Service (QoS) Sinaga, Sony Bahagia; Hasan, Yasir
MEANS (Media Informasi Analisa dan Sistem) Volume 2 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (401.689 KB) | DOI: 10.54367/means.v2i2.146

Abstract

In today's age the internet needs are very important for communicating or looking for information. The longer the development of the internet network is increasingly widespread such as 1G, 2G, 3G and 4G technologies. Long Term Evolution (LTE) is a long-term radio evolution access network issued by the 3rd (Generation Partnership Project). To improve internet network services at STMIK Budidarma, testing and measurement are carried out using the Quality Of Service (QoS) method to determine the quality and power of data transfer. The Quality Of Service (QoS) method found on a TCP / IP network is one that focuses on allocating bandwidth within the internet network that flows fairly and as needed. The QoS method that relies on testing the process of delay time, latency time, packet request time and creating a network topology to reduce the risk that arises.
Implementasi Metode Analytical Hierarchy Process Dalam Menentukan Kelayakan Guru Penerima Umrah Hasan, Yasir
MEANS (Media Informasi Analisa dan Sistem) Volume 3 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.635 KB) | DOI: 10.54367/means.v3i1.231

Abstract

Umrah means carrying out tawaf in the Ka'bah and sa'i between Shofa and Marwah, after using the ihram taken from the miqat. It is often referred to as the small Umrah pilgrimage for teachers every year who have loyalty and other best criteria. The number of hikmatul fadillah foundation teachers often makes the team of selectors confused in determining the best teacher to be given Umrah, because each of the teachers has criteria. Analytical Hierarchy Process (AHP) is a decision support model that will describe multi-factor problems or complex multi criteria into a hierarchy. With hierarchy, a complex problem can be broken down into groups which are then arranged into a hierarchical form so that the problem will appear. more structured and systematic
Computer Vision : Identifikasi Umur Ikan Koi Berbasis Android Hasan, Yasir
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.047 KB) | DOI: 10.54367/means.v5i1.754

Abstract

Koi fish have a long life of more than 200 years, but in general Koi fish are currently around 50 to 70 years, this is due to inadequate facilities and lack of knowledge in Koi fish care. The age of koi fish can be known in several ways, such as knowing by looking at the annual signs or called Annulus and a daily called Circulus. This method is done by observing certain body parts in Koi fish. However, this method is not appropriate at this time and only people who have special expertise can know the age of koi fish. Utilization of computer technology can be used to determine the age of koi fish. The right technology that can be used is computer vision by utilizing a camera on a handheld computer device. In addition, the method that can be used is to process knowledge data on koi fish in the form of long frequencies or size distances. Better size distance in image processing is the Euclidean Distance method. Utilization of this applied technology to determine the age of koi fish is done by measuring the distance of the points specified on the koi fish object as the length of the koi fish. Of course, to do this the system must be equipped with knowledge about the size of koi fish in real terms.
Aplikasi Pengekstrak Gambar Ke Excel dan Uji Ektraksi dengan Kirsch Untuk Deteksi Tepi Hasan, Yasir; Sunandar, Hery
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i1.2608

Abstract

Pixel extractor application to retrieve image pixel values and save them in Excel format. Matlab is often used for pixel extraction, but the transfer process to Excel is difficult and long if the image resolution is large. The placement of pixel values in Excel is useful for knowing the process of image processing mathematical formulas. The solution of this application is that the user can select images to be processed and the pixel extraction results are stored in three separate Excel sheets, namely red (R), green (G), blue (B), and Grayscale values. Convenience This is useful for analyzing pixel data for users. In this study, the extracted pixel values were tested using the Kirsch operator for edge detection. Doing a test of one Kirsch kernel on a grayscale sheet. This application is built using the Python programming language and the PySimpleGUI library to create an easy-to-use user interface.
Pelatihan Train dan Test Deteksi Objek dengan Yolo dan Google Colab di Madrasah Mutawassithah Al-‘Aliy (MMA) Pondok Pesantren Ats-Tsaqofiy Sunandar, Hery; Hasan, Yasir
ULEAD : Jurnal E-Pengabdian Volume 4 Nomor 1 Juli 2024
Publisher : Fakultas Ilmu Komputer, Universitas Katolik Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/ulead.v4i1.3936

Abstract

Pelatihan "Train dan Test Deteksi Objek" di Pondok Pesantren Ats Tsaqofiy bertujuan memperkenalkan konsep dan praktik deteksi objek kepada peserta. Kemajuan teknologi deteksi objek memiliki dampak penting dalam berbagai bidang. Pelatihan ini bermaksud untuk memenuhi kebutuhan akan pengetahuan dan keterampilan di bidang ini, membekali peserta dengan kemampuan beradaptasi dengan perkembangan masa depan. Pelatihan ini mengadopsi pendekatan praktis, membahas dasar deteksi objek, teknik pelatihan model, dan penggunaan dataset dari gambar. Peserta diajarkan tentang metode YOLO menggunakan Python dengan Google Colab. Dengan pelatihan ini, diharapkan peserta memiliki pemahaman lebih baik tentang deteksi objek pada gambar dan keterampilan implementasi. Ini membuka peluang kontribusi mereka dalam pengembangan teknologi deteksi objek dan penerapannya di berbagai bidang.
Steganography Test for Exif Metadata on JPEG Files With AES-256 Encryption for Secret Message Security Hasan, Yasir
INFOKUM Vol. 13 No. 05 (2025): Infokum
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v13i05.2967

Abstract

One of the main challenges is hiding secret messages in media such as JPEG images. However, embedding messages directly into EXIF metadata can pose detection risks and vulnerability to forensic analysis attacks, and this technique faces challenges in security, resistance to metadata manipulation, and message extraction accuracy. The method used in this study involves embedding a message encrypted using AES-256 ECB mode and Base64 into the EXIF metadata of JPEG files, so that only those with the decryption key can access the message content. This system is designed to be compatible with standard image processing software without changing the main structure of the JPEG file, making it difficult to detect by conventional metadata analysis techniques. Test results show that this method is able to embed secret messages with a high level of security without changing the visual quality of the image. AES-256 encryption encoded in Base64 is proven to be effective in maintaining the confidentiality of messages, so that only users with the correct decryption key can access them. Thus, the combination of EXIF metadata steganography and AES-256 encryption in Base64 provides an effective solution for securing secret messages in JPEG files, improving data protection against the threat of information theft and manipulation.
Edukasi Pemrograman Python Untuk Computer Vision Bersama SMK Taman Siswa Medan dan SMK Yapim Biru-Biru Hasan, Yasir
ULEAD : Jurnal E-Pengabdian Volume 5 Nomor 1 Juli 2025
Publisher : Fakultas Ilmu Komputer, Universitas Katolik Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kegiatan Pengabdian kepada masyarakat dilaksanakan bersama SMK Tamansiswa Medan dan SMK YAPIM Biru-Biru, dengan fokus pada pemrograman Python untuk implementasi komputer visi. Materi pelatihan mencakup konsep dasar komputer visi, teknik pengolahan citra, dan pembuatan aplikasi deteksi objek sederhana dengan algoritma Haar Cascade. Pelatihan dilakukan secara interaktif melalui penyampaian teori, praktik langsung, dan diskusi untuk menyelesaikan permasalahan teknis. Evaluasi keberhasilan program dilakukan dengan mengukur peningkatan pemahaman peserta melalui pre-test dan post-test, serta mengamati kemampuan peserta dalam mengembangkan aplikasi sederhana. Hasil pengamatan menunjukkan peningkatan signifikan pada pemahaman konsep komputer visi dan keterampilan teknis peserta dengan keberhasilan peserta membuat prototipe aplikasi deteksi objek yang dapat diterapkan pada berbagai kasus nyata pendeteksian wajah dan penghitungan jumlah orang. Kegiatan ini memberikan wawasan baru dan juga membuka peluang implementasi teknologi komputer visi dalam pendidikan dan mendorong pengembangan inovasi teknologi di lingkungan pendidikan vokasi.
Sistem Pendukung Keputusan Kelayakan Penerimaan Bantuan Tanah Garapan Pada Dusun III-A Selambo Desa Amplas Menggunakan Metode Analytic Network Process (ANP) Gulo, Mentari Jun Efferi; Hasan, Yasir; Lubis, Ikwan
JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 2 No. 03 (2024): Agustus
Publisher : Faatuatua Media Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70404/jikteks.v2i03.138

Abstract

Program bantuan tanah garapan di Dusun III-A Selambo Desa Amplas ditujukan untuk meningkatkan kesejahteraan masyarakat kurang mampu yang belum memiliki lahan tempat tinggal maupun lahan usaha pertanian. Namun, proses seleksi penerima bantuan yang masih dilakukan secara manual berisiko menimbulkan ketidaktepatan dan ketidakobjektifan dalam pengambilan keputusan. Oleh karena itu, penelitian ini mengembangkan sistem pendukung keputusan berbasis metode Analytic Network Process (ANP) untuk menentukan kelayakan penerima bantuan secara lebih terstruktur dan obyektif. Metode ANP digunakan karena kemampuannya dalam menganalisis hubungan timbal balik antar kriteria dan subkriteria serta menentukan bobot prioritas berdasarkan perbandingan berpasangan. Dalam penelitian ini, empat kriteria utama ditentukan: penghasilan, loyalitas terhadap lingkungan, keaktifan dalam organisasi lingkungan, dan status kepemilikan rumah. Sistem ini dikembangkan menggunakan bahasa pemrograman Visual Basic 2008 dan diimplementasikan pada sepuluh data alternatif warga. Hasil akhir menunjukkan bahwa sistem mampu memberikan peringkat kelayakan secara akurat, di mana Ariana Hasibuan memperoleh skor tertinggi sebesar 0,554 sebagai penerima yang paling layak. Sistem yang dibangun terbukti dapat meningkatkan akurasi, efisiensi, dan keadilan dalam proses seleksi penerima bantuan, serta menjadi alat bantu yang bermanfaat bagi pihak desa dalam membuat keputusan berbasis data.
Co-Authors Gulo, Mentari Jun Efferi Hery Sunandar II, Ramadani Ikwan Lubis Kristian Siregar Mesran, Mesran Muhammad Yusuf Batubara Pristiwanto, Pristiwanto Sinaga, Sony Bahagia Sinaga, Sony Bahagia Zulkarnain Zulkarnain