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WEBINAR & WORKSHOP PERAN ARTIFICIAL INTELLIGENCE DALAM ANALISIS BIG DATA UNTUK MENDUKUNG SEKTOR BISNIS E-COMMERCE Arkan, Mohammad; Abdul Rezak; Natasya Umi Fitria; Fikram Althaf Muyassar; Azhari Daulay; Muhammad Farizs Hakim; Muhammad Fadhil Habibie; Ilham Firmansyah Dika; Bagus Kurniawan; Nurvelly Rosanti; Popy Meilina; Rully Mujiastuti; Hendra, Hendra; Jumail, Jumail
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 1 (2024): Februari
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i1.490

Abstract

Artificial Intelligence (AI) dan Big Data memiliki peran krusial dalam mendukung sektor bisnis E-Commerce. Webinar dan Workshop yang diselenggarakan oleh Prodi Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Jakarta memberikan pemahaman mendalam kepada peserta tentang konsep dasar AI, jenis-jenis AI, dan karakteristik Big Data. Melalui presentasi materi oleh Fikram Althaf Muyassar, Azhari Dauly, dan Muhammad Farizs Hakim, peserta dibimbing dalam implementasi AI dalam analisis Big Data dengan studi kasus di bidang E-Commerce menggunakan bahasa pemrograman Python. Survei menunjukkan tingkat kepuasan yang tinggi terhadap efisiensi pemateri dan peningkatan pemahaman peserta terkait penggunaan Python dan implementasi Analisis Big Data untuk mendukung E-Commerce. Kesimpulannya, kegiatan ini berhasil memberikan pengetahuan konseptual dan keterampilan praktis kepada peserta, mendorong minat mereka untuk belajar lebih lanjut tentang Python dan Data Science.
WEBINARS & WORKSHOPS INTRODUCTION TO COMPUTER VISION: UNRAVELING THE WONDERS OF COMPUTER VISION Dwi Duta Mahardewantoro; Amili, Fadel; Ilyasa, Fahri; Ikhsan Adi Prayogo; Ikhsan Fitriansyah; Muhammad Arif; Rifqi Baihaqi Sabhan; Syuja Ardyansyach; Muhammad Adri Farqan; Nurvelly Rosanti; Poppy Meilina; Nurbaya Ambo, Sitti
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 1 (2024): Februari
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i1.494

Abstract

The computer vision workshop is a crucial platform addressing the escalating demands of this rapidly evolving field within computer science. In today's era, visual data processing is integral across diverse sectors such as healthcare, security, and industry, making the workshop a guiding beacon for participants navigating the complex terrain of computer vision. Central to its agenda is the dissemination of practical insights into training data for object recognition, a cornerstone for unleashing the full potential of computer vision applications. Participants delve into fundamental concepts, encompassing nuances of deep learning alongside the intricacies of data training and object detection. Employing Google Colab and Python programming language, the workshop emphasizes practical application, equipping participants with cutting-edge tools. Expected outcomes encompass participants fostering a profound grasp of underlying principles, refining proficiency in data training for nuanced object detection, and bolstering confidence through hands-on exercises. Designed holistically, the workshop integrates elements such as deep learning, computer vision, interactive Q&A sessions, and practical exercises, ensuring participants acquire a robust skill set ready for real-world challenges in the dynamic realm of computer vision.
Introduction to Networking Infrastructure on Cisco Packet Tracer: Routing a Home-to-Home Network to a Central Server Syahrul Al Habib; Rahmat Fajrial Azim; Muhammad Rizqi Raihan Firdaus; Diana Nur Haliza; Muhammad Izzudin Rosadi; Sitti Nurbaya Ambo; Yana Adharani; Nurvelly Rosanti; Rully Mujiastuti
Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat
Publisher : Faculty of Cultural Studies, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.gramaswara.2025.005.02.04

Abstract

Lack of understanding about computer networks and routing configurations poses a challenge for students and the general public interested in technology. To address this, a Webinar and Workshop titled “Introduction to Networking Infrastructure on Cisco Packet Tracer: Routing a Home-to-Home Network to a Central Server” was held. The event aimed to provide theoretical and practical knowledge of computer networks and routing simulations using Cisco Packet Tracer. The Webinar covered basics such as network types, IP addresses, and an introduction to Cisco Packet Tracer, while the Workshop focused on hands-on practice. Evaluation revealed a significant improvement in participants' understanding, with average Pre-Test scores rising from 70% to 90% in the Post-Test. Attended by 40 participants from various institutions, 95% expressed satisfaction with the material and presenter delivery. The activity successfully enhanced participants' knowledge and skills in computer networking.
Game Development With Python: Let’s Build a Simple Games! Mochammad Gendry Afriansyah; Sandhi Alfianda Ghifari; Muhammad Taqi Wijdan; Rifki Syarif Hidayat; Muhammad Ni’am Syukri; Nurvelly Rosanti; Mirza Sutrisno; Sitti Nurbaya Ambo; Yana Adharani; Popy Meilina
Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat
Publisher : Faculty of Cultural Studies, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.gramaswara.2025.005.02.05

Abstract

The development of technology opens up opportunities for individuals to develop new skills, including in the increasingly popular game industry. To provide a basic understanding of game development, a Webinar and Workshop entitled “Game Development With Python: Let's Build a Simple Game!”. This activity consists of material presentation sessions in the Webinar and hands-on practice in the Workshop. Evaluation through questionnaires showed positive responses to the presenters and the material presented. Of the 37 participants who participated, the Pre-Test and Post-Test results showed an increase in understanding with an average initial score of 67.3% which increased to 89.4%. A total of 67.6% of participants expressed very satisfied, while 32.4% were satisfied. These results show that this activity succeeded in increasing participants' understanding and skills in developing simple games using Python, as well as making a positive contribution to students and the general public.