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All Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Rizky Febriansyah
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

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Peningkatan Budaya Literasi Dan Pemanfaatan Perkembangan Teknologi Dalam Berbagai Aspek Kehidupan Rizky Febriansyah; Elisabeth Michelle Levine Natasha; Emi Febrina Depari; Fatima Nur Ramadhani; Fikri Humaidi; Lasma Rito Sitanggang; Rendi Matius Widjaya; Sintia Selfiana Sinaga; Sri Okta Sema; Willi Wilson M Hutabarat
Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Vol. 1 No. 4 (2023): Oktober : Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/pandawa.v1i4.201

Abstract

The problem that is rife today is the lack of interest in reading in children. Indonesia's literacy index in the world according to the 2018 PISA survey Indonesia is at number 74 out of 79 or six ranks from the bottom. This is very concerning for the Indonesian state. The University of Riau real work group in Suka Maju Village did the service there, based on the fact that there was a lack of literacy in school children which made them less interested in reading and slow in understanding, this happened due to the lack of support for environmental factors there. Based on this incident, the real work college group created a work program that could increase the literacy of school children. To increase village potential, efforts are made through social media accounts as appropriate technology. The activities carried out start from preparation by planning the activities to be carried out. Lessons are held 3 days a week and as a result they become more interested in studying and reading to explore the material that has been taught.
Dampak Kemajuan Teknologi Informasi dan Komunikasi terhadap Nilai-Nilai Budaya Rizky Febriansyah
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 3 No. 1 (2025): Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v3i1.687

Abstract

This study examines the impact of advancements in Information and Communication Technology (ICT) on cultural values, focusing on changes and the preservation of local cultures. The method used is descriptive analysis based on interviews, observations, and document studies. The results reveal that ICT has significantly influenced local cultural values, including shifts in cultural identity among younger generations, increasing individualism, and cultural homogenization due to social media. On the other hand, ICT offers opportunities for cultural preservation through digitalization and the promotion of local cultures on digital platforms. Nonetheless, challenges persist in maintaining traditional cultural values rooted in collectivism, given the dominant influence of global culture. This study recommends the need for prudent strategies in utilizing ICT to preserve local cultures without compromising their cultural identity.
Penerapan Learning Vector Quantization (LVQ) Untuk Klasifikasi Data Citra Digital Bambang Irwansyah; Delyanti Putri Sitorus; Rezki Abdillah; Rizky Febriansyah; Harry Ardian; Syahrul Syahrul; Ferry Cahyadi; Fahri Finanda Rizki
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 6 No. 1 (2026): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v6i1.2072

Abstract

The rapid development of information technology has increased the utilization of digital images in various fields, creating a need for classification methods that are accurate and efficient. One method that can be applied to classify numerical data obtained from image feature extraction is Learning Vector Quantization (LVQ). This study aims to implement the LVQ method for digital image classification based on numerical features and to evaluate its performance in terms of accuracy. The data used in this study consist of grayscale digital images that have undergone a feature extraction process and are represented as numerical vectors. The dataset is divided into two classes, namely Class A and Class B. The research stages include data collection, grayscale conversion, feature extraction, LVQ training, and classification testing. The classification results are evaluated using a confusion matrix and accuracy measurement. The experimental results show that the LVQ method successfully classified all test data correctly, achieving an accuracy rate of 100%. These results indicate that Learning Vector Quantization is an effective method with good performance for classifying digital image data based on numerical features.
Co-Authors Delyanti Putri Sitorus Elisabeth Michelle Levine Natasha Emi Febrina Depari Fahri Finanda Rizki Fatima Nur Ramadhani Ferry Cahyadi Fikri Humaidi Harry Ardian Irwansyah, Bambang Lasma Rito Sitanggang Rendi Matius Widjaya Rezki Abdillah Sintia Selfiana Sinaga Sri Okta Sema Syahrul Syahrul Willi Wilson M Hutabarat