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All Journal Society: Jurnal Pengabdian Masyarakat Kenduri: Jurnal Pengabdian Dan Pemberdayaan Masyarakat
Ahmad Faiz Dermawan
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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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.
Otomatisasi Konversi Desain UI/UX ke Kode HTML Menggunakan AI Stitch Prompting bagi Ikatan Pelajar Muhammadiyah Bintang Sheva; Althaf Syafiq Rianto; Anggi Rahmadillah; Ahmad Faiz Dermawan; Muhammad Zaid Itqon; Nurvelly Rosanti; Mirza Sutrisno; Sitti Nurbaya Ambo; Hendra; Yana Adharani
KENDURI : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 2 (2026): May-August
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/kenduri.v6i2.2784

Abstract

The rapid development of Artificial Intelligence (AI) technology has significantly accelerated the paradigm of User Interface/User Experience (UI/UX) design. However, practical literacy and skills among the younger generation regarding the use of AI for design productivity remain limited. This community service activity aims to improve the partners' digital literacy and competencies in modern interface design implementation. The program was conducted through a theoretical webinar and a hands-on workshop utilizing the Google Stitch platform (Stitch Prompting). The activity was held online with 27 participants, including members of the Muhammadiyah Student Association (IPM) of SMA Muhammadiyah 18 Jakarta, IPM SMK Muhammadiyah 9 Jakarta, university students, and the general public. The program's effectiveness was evaluated using a comparative analysis of pre-test and post-test data, along with a Likert-scale satisfaction questionnaire. The evaluation results demonstrated a significant increase in cognitive understanding, with the average post-test score reaching 95.83%. The highest leap of 16.7% was recorded in the textual instruction (prompting) understanding indicator, achieving a 100% mastery level. Furthermore, feedback evaluation showed a highly satisfactory response, where 100% of participants gave positive ratings and recommended future programs. This proves that project-based educational intervention is highly effective in bridging the audience's knowledge gap regarding the adoption of artificial
Co-Authors Adharani, Yana Althaf Syafiq Rianto Anggi Rahmadillah Azril Ferdiansyah Romadoni Bintang Sheva Hendra Khoirudin Sidik Maulana Faiz Mirza Sutrisno Muhammad Ajar Danu Wiratama Muhammad Zaid Itqon Nurvelly Rosanti Rully Mujiastuti Sitti Nurbaya