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All Journal Jurnal Pendidikan Terapan Information Technology Education Journal Sipakaraya : Jurnal Pengabdian Masyarakat Artificial Intelligence in Educational Decision Sciences
Fadhil Zil Ikram
Universitas Pendidikan Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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AI-Driven Clustering of Social Media Consumption Patterns and Daily Productivity Using K-Means and DBSCAN in Multigenerational Respondents Nurrahmah Agusnaya; Putri Nirmala; M. Miftach Fakhri; Fadhil Zil Ikram
Artificial Intelligence in Educational Decision Sciences Vol 1 No 1 (2026): Artificial Intelligence in Educational Decision Sciences
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aieds.v1i1.8

Abstract

Purpose – The rapid development of digital technology has made social media an integral part of life across generations, yet its intensive use raises growing concerns regarding its impact on daily productivity. This study aims to analyze patterns of social media consumption behavior and their relationship with productivity across age groups using a dual clustering approach based on the K-Means and DBSCAN algorithms.Methods – The study utilizes secondary data from 3,000 multigenerational respondents, processed using Orange Data Mining through stages of data selection, normalization, and unsupervised clustering. K-Means is employed to segment respondents based on proximity to cluster centroids, while DBSCAN is applied to identify density-based behavioral patterns and detect outliers representing extreme digital usage behaviors.Findings – The results indicate that K-Means effectively maps macro-level clusters primarily differentiated by age, achieving an average Silhouette score of 0.537, which reflects stable and well-separated segmentation. In contrast, DBSCAN demonstrates superior capability in identifying micro-level behavioral patterns, particularly respondents exhibiting extreme characteristics such as excessive screen time and non-productive application usage, despite yielding a lower overall Silhouette value. The comparative analysis highlights that K-Means is more suitable for demographic-based segmentation, whereas DBSCAN provides deeper insights into localized and atypical digital behavior.Research limitations – The analysis is based on a randomly sampled subset of a publicly available dataset, which may limit the generalisability of the findings across different cultural, occupational, and socioeconomic contexts. Future studies are encouraged to incorporate longitudinal data and additional behavioral variables to capture temporal dynamics and causal relationships between social media usage and productivity.Originality – This study contributes by systematically comparing centroid-based and density-based clustering approaches within a multigenerational framework to reveal both macro-demographic and micro-behavioral patterns of digital consumption. The proposed dual clustering strategy offers a novel analytical perspective for designing more adaptive and evidence-based digital literacy and productivity enhancement policies.
Mathematics Teachers' Competency Development: A Qualitative Study On The Transition From PMM To Ruang GTK Fadhil Zil Ikram; Yaya Sukjaya Kusumah; Mei Radia Putri
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8168

Abstract

The change from PMM (Merdeka Mengajar Platform) to Ruang GTK requires further study investigating how the Ruang GTK is utilised compared to PMM. The present qualitative study aims to describe the experiences of 15 mathematics teachers (13 teachers and two vice principals) in using Ruang GTK compared to their previous experiences using PMM. The study spanned six weeks and was conducted online and offline. The data were collected through interviews and audiovisual materials, with interview guidelines developed based on an adaptation of the Technology Acceptance Model (TAM3) constructs: perceived usefulness, perceived ease of use, job relevance, voluntariness, and use. The data underwent a three-stage analysis process, encompassing data condensation, data presentation, verification, and conclusion drawing. The results showed that more and more participants rarely use Ruang GTK due to motivational factors, changes in the curriculum, and the need to attend many offline trainings. The discrepancy in the advantages accruing from utilizing Ruang GTK compared to PMM can be attributed to the substantial diminution in teacher workload. Ruang GTK is easier to operate, especially because it eliminates features that confuse teachers. Lastly, many of the participants now access the Ruang GTK only when there is an obligation or demand from their superiors, and only a few
Pendampingan Guru Sekolah Menengah dalam Penerapan ICT untuk Asesmen Pembelajaran Jarnawi Afgani Dahlan; Yaya Sukjaya Kusumah; Erma Monariska; Ariyanti Jalal; Churun Lu'lu'il Maknun; Ernawati; Fadhil Zil Ikram; M. Azhari Panjaitan; Pieter Z. Tupamahu; R. H. Yanti Silitonga
Sipakaraya : Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2025): Sipakaraya : Jurnal Pengabdian Masyarakat
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/sipakaraya.v4i1.5428

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengatasi permasalahan rendahnya pemanfaatan teknologi informasi dan komunikasi (ICT), khususnya dalam kegiatan evaluasi dan asesmen pembelajaran oleh guru di sekolah mitra. Permasalahan ini dapat ditinjau dari dua aspek utama, yaitu keterbatasan pengetahuan dan keterampilan guru dalam menggunakan platform digital untuk evaluasi dan asesmen, serta belum dikenalnya potensi kecerdasan buatan (AI) dalam menunjang penilaian pembelajaran yang efektif dan efisien. Melalui kegiatan pengabdian berupa pendampingan atau pelatihan ini, diharapkan para guru di sekolah mitra tidak hanya memperoleh pemahaman konseptual tentang pentingnya integrasi teknologi dalam evaluasi dan asesmen pembelajaran, tetapi juga memiliki keterampilan praktis untuk menerapkannya secara langsung dalam konteks kelas mereka masing-masing. Kegiatan pengabdian dilaksanakan secara hybrid yang berpusat di SMK TIK Al-Islam Purwakarta. Kegiatan dilaksanakan pada hari Sabtu, 23 Agustus 2025 dengan 27 guru yang mengikuti kegiatan. Adapun guru-guru yang mengikuti kegiatan ini berasal dari tiga sekolah yaitu SMA Al Jundiyah, SMA Dzakiyun 2, dan SMK TIK Al Islam. Hasil pelaksanaan serta evaluasi terhadap kegiatan pengabdian masyarakat yang telah dilaksanakan menunjukkan bahwa indikator keberhasilan kegiatan pengabdian, yaitu materi, narasumber, pelaksanaan kegiata, serta dampak manfaat, sudah terpenuhi sehingga kegiatan pendampingan atau pelatihan terkait pemanfaatan ICT dalam asesmen pembelajaran dapat dikatakan sukses dan berhasil. Kegiatan pendampingan atau pelatihan berhasil dalam menambah wawasan dan pengetahuan serta keterampilan terkait ICT dalam Pendidikan, utamanya mengenai pemanfaatannya dalam asesmen pembelajaran. Selain itu, para responden juga memberikan komentar yang positif terhadap pelaksanaan kegiatan dan berharap kegiatannya dapat dilaksanakan secara berkala.
Pelatihan Teknologi Digital Chatbot Interaktif Berbasis Poe AI dan Mathpix bagi Guru SMA di Kabupaten Majene Muhammad Abdy; Nursyam Anaguna; Musawwir Musawwir; Muh. Rafli Rasyid; Fadhil Zil Ikram
Sipakaraya : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2026): Sipakaraya : Jurnal Pengabdian Masyarakat
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/sipakaraya.v4i2.6141

Abstract

Kurangnya keterampilan guru dalam menggunakan teknologi pembelajaran digital untuk menciptakan efektifitas dan inovasi dalam mengevaluasi pembelajaran matematika yang sesuai dengan perkembangan zaman merupakan masalah yang dialami beberapa guru SMA Kabupaten Majene. Untuk mengatasi masalah tersebut, dilaksanakan kegiatan pelatihan dan pendampingan bagi guru yang bertujuan untuk: 1) meningkatkan keterampilan penggunaan teknologi digital Chatbot Interaktif berbasis Poe AI dan Mathpix dalam pembelajaran, dan 2) meningkatkan efektifitas dan inovasi guru dalam membuat soal dan rubrik penilaian melalui penggunaan teknologi digital Chatbot Interaktif berbasis Poe AI dan Mathpix. Metode pelaksanaan terdiri dari 4 tahapan yaitu: perencanaan, tindakan, observasi, dan evaluasi. Kegiatan pelatihan dilaksanakan selama 1 hari dan kegiatan pendampingan dilakukan selama 2 bulan. Peserta yang terlibat sebanyak 16 guru, di mana lokasi pengabdian dilaksanakan di SMA Negeri 2 Majene. Hasil pelatihan dan pendampingan menunjukkan terdapat peningkatan keterampilan guru dalam menggunakan teknologi digital Poe AI dan Mathpix. Selain itu, ada peningkatan efektifitas dan inovasi guru dalam menyusun soal yang bervariasi dan berkualitas dalam pembelajaran matematika melalui penggunaan teknologi Chatbot interaktif berbasis Poe AI dan Mathpix.
Pedagogical Agents in Mathematics Education (1999–2025): A Bibliometric Analysis of a Field Shifting Toward Large Language Models Fadhil Zil Ikram; Kusnandi
Jurnal Pendidikan Terapan Vol 4, No 4 September (2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v4i4.1200

Abstract

Purpose: This study maps the scientific landscape of pedagogical agents in mathematics education (1999–2025) to characterize its developmental trajectory, key actors and intellectual foundations, and thematic structure, and to locate mathematics learning within the broader pedagogical-agents paradigm. Methods: A corpus of 133 Scopus-indexed documents was analyzed with Biblioshiny and VOSviewer, combining performance analysis (production, citation impact, sources, authors, affiliations, countries) and science mapping (keyword co-occurrence at a minimum threshold of three, thematic mapping, and overlay visualization). Findings: The field shows an annual growth rate of 11.25%, far above the global-science baseline of 4%. Knowledge production concentrates in three institutional clusters (Lund University, Carnegie Mellon, UMass Amherst), with international co-authorship at 19.55%, below the cross-disciplinary average. Pedagogical agents anchor the field, with an intellectual base in cognitive principles of learning-by-teaching, while Large Language Models emerged as a converging keyword after 2022. Author-keyword co-occurrence resolved eight clusters dominated by general instructional-technology and AI motor themes, with mathematics learning fragmented across three clusters in a marginal, basic-theme position an application context rather than an epistemic core. Research Implications: Findings highlight open positioning opportunities for new entrants, guide developers integrating LLMs into established pedagogical-agent architectures, and signal to policymakers the need for broader institutional participation. Originality: This is the first bibliometric mapping specifically targeting the pedagogical-agents and mathematics-education intersection, documenting continuity in the paradigm shift from classical to LLM-based agents. As the corpus is drawn from a single database, it should be read as a Scopus-bounded, English-leaning view rather than an exhaustive census.
Co-Authors Ariyanti Jalal Churun Lu'lu'il Maknun Erma Monariska Ernawati Jarnawi Afgani Dahlan Kusnandi Kusnandi M. Azhari Panjaitan M. Miftach Fakhri Mei Radia Putri Muhammad Abdy Musawwir Musawwir Nurrahmah Agusnaya Nursyam Anaguna Pieter Zakarias Tupamahu Putri Nirmala R. H. Yanti Silitonga Rasyid, Muhammad Rafli Yaya Sukjaya Kusumah