Article Per Year (5 Year)
p-Index From 2020 - 2025
3.134
P-Index
This Author published in this journals
All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Informatika Universitas Pamulang PeTeKa IKRA-ITH ABDIMAS Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Tekinkom (Teknik Informasi dan Komputer) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JUKI : Jurnal Komputer dan Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) Jurnal Penelitian Sistem Informasi Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Saturnus: Jurnal Teknologi dan Sistem Informasi
Pakpahan, Victor Maruli
Universitas Mahkota Tricom Unggul
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
THE FUTURE OF EDUCATION: HOW XR AND THE METAVERSE WILL CHANGE THE WAY STUDENTS ARE VIEWED TODAY Hendra Jonathan Sibarani; Dompak Pasaribu; Debora Tambunan; Dewi Rafiah Pakpahan; Victor Maruli Pakpahan; Frans Gideon Sinuhaji; Grestin Ekalina Turnip; Tony Blayer Simangunsong; Jen Peng Huang
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 4 No. 1 (2024): March-June 2024
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/irpitage.v4i1.2160

Abstract

The dynamic world of education, of course, will always experience developments so as not to be left behind and can produce successors or generations who have expertise and have high competence. Conventional or old-fashioned teaching methods are of course still done orally or lecture methods, reading books, watching videos, currently undergoing many changes following the development of existing technology. The development that is currently being discussed in the world of education is by utilising the metaverse. Metaverse is a technology-based virtual space concept that allows people to interact immersively in a digital world similar to the real world. In the Metaverse, users can enter the virtual world using devices such as Extended Reality (XR) which includes VR (Virtual Reality) or AR (Augmented Reality) to communicate, work, play, and do other activities. Metaverse provides many benefits to education, especially by creating a more immersive and interactive learning experience. In the Metaverse, students can learn through virtual simulations, such as exploring history in the past, learning science in a virtual laboratory, or practicing practical skills in an environment that resembles the real world. With Metaverse and Extended Reality (XR), it not only increases student engagement, but also helps students understand the material more deeply through experiential learning. In addition, Metaverse enables collaboration without geographical boundaries, where students and teachers from different parts of the world can meet and interact in a virtual space. As such, the metaverse supports a more inclusive and personalised learning system, giving access to materials and experiences that may be hard to reach in traditional education.
“Klasifikasi Citra Penyakit Gigi Menggunakan Metode K-Nearest Neighbor”. Sri Dewi Novita; Achmad Fauzi; Victor Maruli Pakpahan
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.244

Abstract

Handling of dental disease problems requires that it be handled quickly and correctly, but not all teams of dental experts can carry out treatment quickly due to the lack of a team of dental experts who are in the workplace or hospital 24 hours a day. Apart from that, the public also has very little knowledge of information about dental disease, so that to treat dental disease, people have to consult a dentist. To classify images of dental disease, feature extraction is needed. Feature extraction is taking characteristics of an object that can describe the image. One example of image feature extraction used is Red, Green, Blue (RGB). This feature extraction is often used to identify or classify an image. Dental image data that will be used in the classification process are tooth abrasion, anterior crosbite, cavities and gingivitis. K-Nears Neigbor is the simplest data mining algorithm. The aim of this algorithm is to find the results of the closest distance classification for each object. In determining the distance, the data is initially divided into two parts, namely training data and testing data. After receiving the training data and testing data, the distance from each testing data (Equilidence Distance) to the training data is calculated. The K-Nearest Neighbors method can be applied to classify dental disease based on images of types of dental disease using Matlab software. As a result of the image data training process, 40 image data were input, training results obtained were 100%.
Green Stream Movement : Revitalisasi Sungai Deli Melalui Kolaborasi Mahasiswa dan Dosen Hendra Jonathan Sibarani; Hana Salsabila Lubis; Debora Tambunan; Victor Maruli Pakpahan; Sungguh Ponten Pranata; Yenni Martok; Dewi Rafiah Pakpahan
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Mei: NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v5i2.5077

Abstract

River cleanliness is a very important environmental issue, especially in densely populated areas that are vulnerable to water pollution. The “Green Stream Movement” program is a community service initiative carried out by a team of students and lecturers to revitalize the condition of the Deli River around the Medan-Marelan area. This activity includes community education, river cleaning, and innovation of waste sorting systems around the river flow. The purpose of this program is to increase environmental awareness of residents and build a sustainable system to maintain river cleanliness. The results of the program show an increase in community participation and a decrease in the amount of waste in the river area by. Collaboration between students, lecturers, and the community has proven effective in creating real changes in the environment
Co-Authors ACHMAD FAUZI Ade Rahayu Artika Suri Ayangda Danianty Miranda Br. Bangun Darjat Saripurna Debora Tambunan Dewi Rafiah Pakpahan Doris Yolanda Saragih Elsida Aritonang Farida Gultom Fauzi, Achmad Frans Gideon Sinuhaji Glen Bagasta Simanjuntak Grestin Ekalina Turnip Hana Salsabila Lubis Hendra Jonathan Sibarani Hesty Vitara Jen Peng Huang Jovanka Arnelita Jubelando O Tambunan Khadapi, Muammar Marto Sihombing Mhd Arif Permata Muhammad Yunus Nezha Febriyan Nova Erawati Sidabalok Novi Yunanda Putri Ramanda, Dika Rusmin Saragih, Rusmin Salim Efendi Sanjaya Pinem Saut Matedius Situmorang Saut Matedius Situmorang Sibarani, Hendra Jonathan Sinuhaji, Frans Gidion Sitorus, Dompak Sri Dewi Novita Sungguh Ponten Pranata Tony Blayer Simangunsong Viktor Edison Hutagaol Widya Natasya Yani Maulita Yenni Martok