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All Journal Society: Jurnal Pengabdian Masyarakat Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS
Nurvelly Rosanti
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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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.
From Zero to AI: Educational Initiatives Through Webinars and Workshops on Developing Machine Learning Models Using TensorFlow Haq, Hafizh Umar; Mirza Sutrisno; Popy Meilina; Yana Adharani; Nurvelly Rosanti; Jumail; Kevin Arya Dandy; Muhammad Imam Najib; Anggi Rahmadillah; Miftahul Jannah; Rully Mujiastuti
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/3qq71h51

Abstract

The development of Artificial Intelligence (AI) and Machine Learning (ML) requires improved technological literacy and a basic understanding of practical applications. This study aims to introduce the concepts of AI and ML through the implementation of simple machine learning models using TensorFlow. The methods used include material delivery, model implementation practice, and evaluation through pre-tests, post-tests, and feedback questionnaires. The evaluation results show an increase in participants' understanding, marked by an increase in the average score from 76.76 on the pre-test to 80.91 on the post-test, or an increase of 5.41%. In addition, the feedback results showed a very high level of satisfaction, with 96% of participants giving positive ratings. This shows that the TensorFlow-based learning approach is effective in improving basic understanding and skills related to AI and ML.
Codeless Data Science with KNIME: Data Analysis and Optimization Without Coding Ahmad Faiz Dermawan; Muhammad Ajar Danu Wiratama; Maulana Faiz; Khoirudin Sidik; Azril Ferdiansyah Romadoni; Mirza Sutrisno; Yana Adharani; Rully Mujiastuti; Nurvelly Rosanti
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/errrt191

Abstract

In the era of digital transformation, data analysis skills have becomeessential competencies for students and the general public. However,data science learning is often perceived as complex due to its relianceon programming skills. To address this issue, a communityengagement program in the form of a webinar and workshop entitled“Codeless Data Science Using KNIME: Data Analysis andOptimization without Coding” was conducted. This program aimedto enhance participants’ literacy and understanding of fundamentaldata science concepts through a codeless approach using the KNIMEAnalytics Platform. The activity was implemented in two main stages:a webinar session focusing on conceptual explanations and the datascience workflow, followed by a hands-on workshop session involvingpractical data analysis and predictive modeling through visualworkflows without coding. Program evaluation was conducted usinga post-activity feedback questionnaire. The results indicated that69.4% of participants were very satisfied, 22.2% were satisfied, 5.6%felt neutral, and 2.8% were dissatisfied with the overallimplementation. These findings demonstrate that the majority ofparticipants responded positively to the materials, delivery methods,and overall organization of the activity. Therefore, this communityengagement program can be considered effective in promotinginclusive and accessible data science learning through a codelessapproach.
Easy Steps to Build a Digital Business Showcase by Creating a Simple Website Nasirul Haq, Muhammad; Khalisah Hasna Naila Shifa; Agung Firmansyah; Fadli Indra Guci; Rully Mujiastuti; Sitti Nurbaya Ambo; Popy Meilina; Yana Adharani; Nurvelly Rosanti; Sukmawandana Gilang Nurmawan
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2026): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/ydged593

Abstract

The digital divide phenomenon in the era of the Industrial Revolution 4.0 remains a major barrier to the growth of Micro, Small, and Medium Enterprises (MSMEs). Many business actors still rely on manual showcases or social media platforms that are vulnerable to algorithm changes. This community service activity aims to provide a solution through a Webinar and Workshop program entitled “Rakit Etalase Digitalmu,” which introduces websites as professional and independent digital showcases. The program was implemented in two stages: community education (webinar) and technical training (workshop) covering basic HTML, CSS, and JavaScript. Evaluation through pre-tests and post-tests showed an average correct response rate of 86% in the pre-test and 82% in the post-test, which does not yet indicate a quantitative improvement, although participants’ understanding remained in the good category. Feedback results revealed a high level of participant satisfaction, with an average rating of approximately 4.2 out of 5, and demonstrated meaningful gains in knowledge and experience in developing websites as digital showcases for MSMEs.
Co-Authors Abdul Rezak Adharani, Yana Agung Firmansyah Agung Firmansyah Ahmad Faiz Dermawan Amili, Fadel Anggi Rahmadillah Arkan, Mohammad Azhari Daulay Azril Ferdiansyah Romadoni Bagus Kurniawan Diana Nur Haliza Dwi Duta Mahardewantoro Fadli Indra Guci Fikram Althaf Muyassar Haq, Hafizh Umar Ikhsan Adi Prayogo Ikhsan Fitriansyah Ilham Firmansyah Dika Ilyasa, Fahri Jumail Jumail, Jumail Kevin Arya Dandy Khalisah Hasna Naila Shifa Khoirudin Sidik Maulana Faiz Mega Fatimah Rosana MIFTAHUL JANNAH Mirza Sutrisno Mochammad Gendry Afriansyah Muhammad Adri Farqan Muhammad Ajar Danu Wiratama Muhammad Arif Muhammad Fadhil Habibie Muhammad Farizs Hakim Muhammad Imam Najib Muhammad Izzudin Rosadi Muhammad Ni’am Syukri Muhammad Rizqi Raihan Firdaus Muhammad Taqi Wijdan Nasirul Haq, Muhammad Natasya Umi Fitria Popy Meilina Rahmat Fajrial Azim Rifki Syarif Hidayat Rifqi Baihaqi Sabhan Rully Mujiastuti Sandhi Alfianda Ghifari Sitti Nurbaya Sitti Nurbaya Ambo Sukmawandana Gilang Nurmawan Syahrul Al Habib Syuja Ardyansyach