Garuda - Garba Rujukan Digital

Virtual Tour Campus Sebagai Media Promosi di Masa Pandemik Covid-19 Lita Karlitasari; Boldson Herdianto Situmorang; Agung Prajuhana Putra; Amalia Sabrina; Diva Randika
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 1 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i1.4438

The use of Virtual Tours is now widely used to introduce infrastructure facilities owned by a campus. For almost a year, the COVID-19 pandemic has made prospective students and college students hesitant to continue their studies. This raises concerns if you come directly to campus to see all the facilities in it. The purpose of this research is to create a virtual campus tour application as an alternative media promotion during the COVID-19 pandemic. This study uses the Multimedia Development Life Cycle (MDLC) method using augmented reality. The result of this research is an application in the form of a virtual game, where before exploring the study programs, the user will be asked to have the appropriate character, then with the help of controlling the joystick from the keyboard, the user can enter the rooms and the information in it, either in the form of direct templates. or use the barcode to go directly to the information in it. Thus, in addition to users becoming more familiar with the Computer Science Study Program environment and the infrastructure in it, it is also an inspirational tool, that to study or create applications it can be done if you enter as a student.

IMPLEMENTASI COMPUTER GENERATED IMAGERY PADA ANIMASI PEMBUATAN LUBANG RESAPAN BIOPORI Boldson Herdianto Situmorang; Tjut Awaliyah Zuraiya; Mochammad Ramdhani
KOMPUTASI Vol 18, No 2 (2021): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v18i2.2519

Computer Generated Imagery merupakan penerapan lanjutan dalam bidang komputer grafis. Penggunaan teknik Computer Generated Imagery untuk memberikan efek khusus dapat menghasilkan animasi yang lebih kelihatan nyata dan menarik perhatian. Proses komunikasi massa pada intinya ialah proses penyampaian pesan dari komunikator kepada komunikan. Komunikasi massa dapat disajikan dalam bentuk animasi. Penggunaan teknologi Computer Generated Imagery dapat memberikan efek khusus pada adegan dalam animasi sehingga tampak begitu nyata dan seperti hidup. Penelitian ini akan membuat animasi pembuatan lubang resapan biopori menggunakan teknik Computer Generated Imagery sebagai media sosialisasi sehingga masyarakat akan tertarik untuk berperan serta mendukung pelestarian lingkungan hidup khususnya dalam menanggulangi krisis air tanah.

Penerapan Teknik Computer-Generated Imagery pada Animasi Pemanfaatan Lubang Resapan Biopori Boldson Herdianto Situmorang; Tjut Awaliyah Zuraiyah
Computatio : Journal of Computer Science and Information Systems Vol 4, No 2 (2020): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v4i2.9691

Computer-Generated Imagery merupakan penerapan lanjutan dalam bidang komputer grafis. Penggunaan teknik Computer-Generated Imagery untuk memberikan efek khusus dapat menghasilkan animasi yang lebih kelihatan nyata dan menarik perhatian. Proses komunikasi massa pada intinya ialah proses penyampaian pesan dari komunikator kepada komunikan. Komunikasi massa dapat disajikan dalam bentuk animasi. Penggunaan teknologi Computer-Generated Imagery dapat memberikan efek khusus pada adegan dalam animasi sehingga tampak begitu nyata dan seperti hidup. Penelitian ini akan membuat animasi pembuatan lubang resapan biopori menggunakan teknik Computer-Generated Imagery sebagai media sosialisasi sehingga masyarakat akan tertarik untuk berperan serta mendukung pelestarian lingkungan hidup khususnya dalam menanggulangi krisis air tanah.

IDENTIFIKASI BIOMETRIKA MENGGUNAKAN EKSTRAKSI MINUTIAE PADA CITRA SIDIK JARI Gustian Rama Putra; Boldson Herdianto Situmorang; Syarif Hidayatullah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2376

Biometrik berbasis citra sidik jari merupakan teknik pengenalan diri dengan menggunakan sidik jari untuk mewakili identitas seseorang. Sidik jari merupakan ciri identitas seseorang secara tepat dan aman karena tidak ada kesamaan dan tidak dapat dipalsukan. Tujuan penelitian ini adalah mengembangkan sistem identifikasi biometrik berbasis citra sidik jari dengan memanfaatkan kamera ponsel untuk akuisisi citra sidik jari. Hal ini didasari oleh kemudahannya karena hampir setiap orang memiliki telepon genggam sehingga sistem identifikasi seseorang berdasarkan sidik jari dapat digunakan kapanpun dan dimanapun. Penelitian dilakukan dengan menggunakan gambar yang dihasilkan dari kamera ponsel dengan spesifikasi kamera 2, 5 dan 8 mega piksel. Metode yang digunakan dalam pengolahan citra terdiri dari metode minutiae crossing number untuk proses ekstraksi ciri dan metode minutiae based matching untuk proses pengukuran kemiripan. Hasil penelitian menyimpulkan bahwa kamera ponsel dengan spesifikasi 5 dan 8 mega piksel dapat digunakan untuk proses akuisisi citra pada sistem biometrik berbasis sidik jari. Proses ekstraksi ciri hasil citra menggunakan metode minutiae crossing number dan proses pengukuran kecocokan menggunakan metode minutiae based matching menghasilkan nilai akurasi sebesar 92,8% pada kamera 5 mega piksel dan 95,3% pada kamera 8 mega piksel. Nilai akurasi tergantung dari hasil tahap akuisisi citra, pre-processing, nilai threshold pada proses identifikasi dan jumlah citra yang digunakan pada data training di database.

Identification of Biometrics Using Fingerprint Minutiae Extraction Based on Crossing Number Method Boldson Herdianto Situmorang; Dicki Andrea
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6814

Biometrics based on fingerprint images is a self-recognition technique using fingerprint to represent a person's identity. Fingerprint is characteristic of someone's identity precisely and safely because there are no similarities and cannot be falsified. The purpose of this research is to develop a biometrics identification system based on fingerprint images by utilizing a cell phone camera for the acquisition of fingerprint images. This is based on its simplicity because almost everyone has a cell phone so that a person's identification system based on fingerprint can be used anytime and anywhere. The research was conducted using images generated from cell phone cameras with camera specifications of 2, 5 and 8 mega pixels. The method used in image processing consists of the minutiae crossing number method for the feature extraction process and the minutiae based matching method for the similarity measurement process. The results of the research concluded that cell phone cameras with specifications of 5 and 8 mega pixels can be used for the process of image acquisition in biometrics systems based on fingerprint. The feature extraction process of image results using the minutiae crossing number method and the match measurement process using the minutiae based matching method resulted in an accuracy value of 92.8% on a 5 mega pixel camera and 95.3% on an 8 mega pixel camera. The accuracy value depends on the results of the image acquisition stage, pre-processing, the threshold value in the identification process, and the number of images used in the training data in the database.

Identification of Biometrics Using Fingerprint Minutiae Extraction Based on Crossing Number Method Boldson Herdianto Situmorang; Dicki Andrea
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6814

Biometrics based on fingerprint images is a self-recognition technique using fingerprint to represent a person's identity. Fingerprint is characteristic of someone's identity precisely and safely because there are no similarities and cannot be falsified. The purpose of this research is to develop a biometrics identification system based on fingerprint images by utilizing a cell phone camera for the acquisition of fingerprint images. This is based on its simplicity because almost everyone has a cell phone so that a person's identification system based on fingerprint can be used anytime and anywhere. The research was conducted using images generated from cell phone cameras with camera specifications of 2, 5 and 8 mega pixels. The method used in image processing consists of the minutiae crossing number method for the feature extraction process and the minutiae based matching method for the similarity measurement process. The results of the research concluded that cell phone cameras with specifications of 5 and 8 mega pixels can be used for the process of image acquisition in biometrics systems based on fingerprint. The feature extraction process of image results using the minutiae crossing number method and the match measurement process using the minutiae based matching method resulted in an accuracy value of 92.8% on a 5 mega pixel camera and 95.3% on an 8 mega pixel camera. The accuracy value depends on the results of the image acquisition stage, pre-processing, the threshold value in the identification process, and the number of images used in the training data in the database.

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