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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK)
Rahman Taufik
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science

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PELATIHAN KECERDASAN BUATAN UNTUK PENGEMBANGAN MEDIA PEMBELAJARAN BAGI GURU SMA DI PROVINSI LAMPUNG Rahman Taufik; Rico Andrian; Muhammad Ikhsan; Dea Delvinata Riyan
Laporan Upaya Nyata Inovasi Ilmu Komputer JPKM Lunik - Vol 04, No. 01, April 2026
Publisher : FMIPA Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/lunik.v4i01.43

Abstract

The digital era demands that Senior High School teachers adopt new technologies to create interactive and effective learning media, yet the implementation of AI tools in schools remains low. This community service activity aims to enhance the competency of Senior High School teachers in developing learning media through training that utilizes AI tools, such as Canva AI and Gamma AI. The implementation method utilized a blended learning approach over one week (September 21–26), combining face-to-face sessions at the University of Lampung with self-paced learning supported by a Learning Management System. A total of 30 participants registered for the program, with 11 teachers completing the entire series of training activities. The comprehensive training module covered AI fundamentals, practical use of Generative AI, and the implementation of AI in material development and assessment. The evaluation results showed a significant increase in competency, with the average pretest score rising from 77.5 to 89 on the posttest. This improvement yielded an N−Gain value of 0.51 (medium category), confirming the program's effectiveness in transferring practical knowledge and skills. Thus, the training successfully equipped SMA teachers with the ability to leverage AI for efficiency and innovation, which is expected to enhance the quality of learning at partner schools.
ETL Implementation for Centralizing Academic Data in an Educational Bootcamp Nathania Santa Nigel Simbolon; Didik Kurniawan; Rahman Taufik
Telematika Vol 23 No 1 (2026): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v23i1.14668

Abstract

Inefficiencies in decentralized data management have become a critical issue for bootcamp companies. This study explores the implementation of an Extract, Transform, Load (ETL) process to centralize academic data at PT. Hacktivate Teknologi Indonesia (Hacktiv8) in order to enhance learning process efficiency. With the rapid growth of disorganized academic data, an integrated automation system is required to monitor and evaluate bootcamp participants' progress. The ETL process employed in this study collects data from various Google Spreadsheets, transforms it into a normalized structure, and stores it in a centralized data warehouse using Google Cloud Platform. The research follows the 4-Steps-Kimball methodology to design the data warehouse schema and evaluates data quality based on the ISO/IEC 25012 standard. Data quality assessment is conducted through two approaches: (1) technical validation using Great Expectations shows key attribute accuracy of 98.44%, consistency of 97%, and completeness of 100%, despite 5–7% data loss due to the removal of null values in instructor columns to maintain referential integrity; (2) stakeholder feedback (N=10) collected via a Likert scale (1–5) yields an average score of 4/5, with the highest ratings in data consistency and centralized structure. The evaluation results indicate that the implemented ETL system is highly efficient and positively received by users, although suggestions were made for improvements in system documentation and adaptability. This study is expected to contribute significantly to data-driven decision-making in non-formal education environments.
Co-Authors Andrian, Rico Dea Delvinata Riyan Didik Kurniawan Muhammad Ikhsan Nathania Santa Nigel Simbolon