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All Journal METIK JURNAL JOURNAL OF COMMUNITY MEDICINE AND PUBLIC HEALTH RESEARCH Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Yayasan Cita Cendikiawan Al Khwarizmi
Wijaya, Vincent
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Pengaruh Media Sosial dalam Kampanye Politik terhadap Hasil Pemilu Ginting, Dinda Tri Ninta; Tan, Tony; Alex; Nurlaila; Gultom, Shalsabila Nurlani; Cindy; Tan, Calvin; Valencia, Carren; Darrane Ronaldo; Maulana, Fariz Hassan; Gabriella; Glow Al Islami; Jennifer Aurelia; Jeny; Michael Alexander; Sherryne; Wong, Steven; Thresdianto; Wijaya, Vincent
Dedikasi Sains dan Teknologi (DST) Vol. 4 No. 2 (2024): Artikel Riset Nopember 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v4i2.4590

Abstract

Pemilihan umum (Pemilu) merupakan mekanisme esensial dalam mewujudkan kedaulatan rakyat, memungkinkan masyarakat untuk memilih wakil mereka secara langsung, umum, bebas, rahasia, jujur, dan adil. Perkembangan teknologi, khususnya media sosial, telah mengubah dinamika kampanye politik di Indonesia. Penelitian ini mengkaji pengaruh media sosial terhadap hasil pemilu, dengan fokus pada Generasi Z sebagai kelompok pemilih yang signifikan. Media sosial, dengan karakteristiknya yang interaktif dan luas, memungkinkan penyebaran pesan politik yang lebih efektif dan cepat, serta mendorong partisipasi politik yang lebih besar di kalangan pemilih muda. Namun, selain manfaat tersebut, media sosial juga menghadirkan tantangan serius, seperti penyebaran misinformasi, polarisasi politik, dan potensi manipulasi melalui penargetan iklan yang spesifik. Studi ini menemukan bahwa media sosial memainkan peran yang semakin krusial dalam kampanye politik, mempengaruhi perilaku dan keputusan pemilih. Meski demikian, untuk meminimalisir dampak negatifnya, diperlukan upaya peningkatan literasi digital di kalangan masyarakat serta regulasi yang ketat dalam penggunaan data pribadi dan penyebaran informasi politik. Kesimpulannya, meskipun media sosial memiliki potensi besar dalam mendukung proses demokrasi, pengelolaan yang tepat sangat penting untuk menjaga integritas dan kualitas pemilu di Indonesia.
Analyzing the Role of User-Generated Content in the Growth of Online Video Platforms Christian, Yefta; Wijaya, Vincent
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 8, No 2 (2023): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v8i2.625

Abstract

The growth of online video platforms in recent years has been driven by a multitude of factors, including advancements in technology and the increasing availability of high-speed internet. However, one of the most significant factors contributing to the success of these platforms is the role of user-generated content (UGC). UGC refers to content created and shared by users of online video platforms, rather than by the platforms themselves. This thesis aims to analyze the role of UGC in the growth of online video platforms by exploring the ways in which UGC contributes to platform success. By examining the impact of UGC, this research provides insights into the evolving landscape of online video and the ways in which UGC shapes it. The study of UGC and its role in the growth of online video platforms has significant implications for marketers, content creators, and platform owners. By understanding the impact of UGC, stakeholders can develop more effective strategies for creating and distributing content on these platforms. This research contributes to the academic understanding of the evolving landscape of online video and the role of UGC in shaping it. Overall, this thesis provides valuable insights into the ways in which UGC drives the growth of online video platforms and highlights its importance for the future of online video.
Tinjaun Literatur Sistematis Terhadap Teknologi Kecerdasan Buatan untuk Deteksi Nyeri (2020-2024) Dharma, Abdi; Veron, Veron; Wijaya, Jeremy; Valentino, Bue; Wijaya, Vincent
METIK JURNAL (AKREDITASI SINTA 3) Vol. 9 No. 1 (2025): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v9i1.1068

Abstract

Pain is a complex sensory and emotional experience, often difficult to assess objectively. In recent years, artificial intelligence (AI) has shown great potential in improving the accuracy and efficiency of pain assessment. This study aims to conduct a systematic review of AI-based pain detection methods developed in the period 2020 to 2024. Using the PRISMA 2020 approach, a literature search was conducted in three major databases: PubMed, Scopus, and Google Scholar, with keywords related to pain detection and perception. Of the 1,685 articles found, 44 studies were selected through a rigorous selection process. The analysis of five showed the main approaches in pain detection: Neuroimaging & Neurological, Physiological & Biometric, Visual-Only (facial recognition), Audio/Speech-based, and Behavioral/Observational. Neuroimaging-based approaches such as EEG and fMRI were the most dominant, followed by the use of biometric sensors and facial recognition technology. However, significant challenges remain, including the limitations of global data standards, difficulties in model generalization, and ethical and privacy issues. This study highlights that the integration of non-invasive sensors with deep learning models and personalized approaches can improve the effectiveness of automated pain detection systems.
The Relationship Between Fast Food Consumption and Obesity Among Adults at Pekan Labuhan Health Center, Medan, Indonesia Samosir, Fauzan Azmi Hasti Habibi; Qalbi, Kamila Harisah; Wijaya, Vincent; Kathy, Kathy; Miadi, Yesindi Nakita; Putri, Monica Dwi; Harahap, Juliandi
Journal of Community Medicine and Public Health Research Vol. 6 No. 1 (2025): Journal Community Medicine and Public Health Research
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jcmphr.v6i1.62002

Abstract

Obesity is defined as an excessive accumulation of body fat resulting from a prolonged imbalance between energy intake and energy expenditure, which may lead to various physical and psychosocial health complications. In Indonesia, the prevalence of adult obesity has reached approximately 22%, affecting around 625,000 individuals. One primary contributing factor to weight gain is the frequent consumption of high-calorie foods, such as sugary beverages, fast food, and items with a high glycemic index. This study investigated the association between fast food consumption and obesity among adults. An analytical cross-sectional study involved adult participants at the Pekan Labuhan Community Health Center in Medan who met specific inclusion and exclusion criteria. Data were obtained through structured interviews to assess the frequency of fast food consumption, alongside anthropometric measurements, including body weight, height, and calculation of Body Mass Index (BMI). The results indicated that 63% of the adult population in this community health center were classified as obese, and 72% reported frequent fast food consumption. Statistical analysis using the Pearson correlation test demonstrated a significant relationship between fast food consumption and obesity (p=0.001). The findings suggest that a higher frequency of fast food intake is significantly associated with increased obesity risk. These results underscore the importance of dietary education and public health strategies aimed at reducing fast food consumption to combat the rising prevalence of obesity.
Co-Authors Abdi Dharma Alex Christian, Yefta Cindy Darrane Ronaldo Gabriella Ginting, Dinda Tri Ninta Glow Al Islami Gultom, Shalsabila Nurlani Harahap, Juliandi Jennifer Aurelia Jeny Kathy, Kathy Maulana, Fariz Hassan Miadi, Yesindi Nakita Michael Alexander Nurlaila Putri, Monica Dwi Qalbi, Kamila Harisah Samosir, Fauzan Azmi Hasti Habibi Sherryne Tan, Calvin Tan, Tony Thresdianto Valencia, Carren Valentino, Bue Veron, Veron Wijaya, Jeremy Wong, Steven