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Digitalisasi Pengelolaan Pustaka Sekolah Dafwen Toresa; Taslim; Susi Handayani; Edriyansyah; Rometdo Muzawi
SATIN - Sains dan Teknologi Informasi Vol 9 No 1 (2023): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.877 KB) | DOI: 10.33372/stn.v9i1.989

Abstract

Along with the development of science and the globalization of information that demands the creation of an all-computerized state. At SMA Negeri 4 Tualang, Siak Regency, the process of processing library data to making reports still uses manual bookkeeping. This can cause the process of searching for book data, member data and book borrowing data to take a long time and not to mention if the data is lost so it cannot be used again. Library applications are made according to user needs using the PHP programming language with MySQL database storage and Waterfall modeling. This library application has been tested with the black box method with 100% results then implemented and measured with values and measuring indicators as follows: User Satisfaction = 94%, Data Accuracy = 93%, Speed and convenience = 96%, Application and information security = 93 % and Support = 96%. Thus the digitization of library management is very beneficial for library managers and students as users at SMAN 4 Tualang
Peningkatan Literasi AI Dan Python Melalui Pelatihan Berbasis Google Colab Untuk Guru SMA Negeri 16 Pekanbaru Susi Handayani; Taslim
JCoos: Journal of Community Outreach in Science & Society Vol. 1 No. 1 (2026): Journal of Community Outreach in Science & Society (JCoos)
Publisher : JCoos: Journal of Community Outreach in Science & Society

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Abstract

A training program introducing Artificial Intelligence (AI) to teachers at SMA Negeri 16 Pekanbaru was conducted to enhance participants’ basic understanding and initial skills in applying AI technologies within educational settings. The training covered foundational AI concepts, basic Python programming, and hands-on sessions using Google Colaboratory (Colab) as a cloud-based practical tool. Delivered through a combination of lectures, hands-on practice, interactive discussions, and evaluations (pre-test and post-test), the program involved 20 participating teachers. Evaluation results indicated significant improvement in participants' knowledge, particularly in understanding Python as a programming language for AI, which was grasped by all participants (100%). Meanwhile, comprehension of basic AI concepts and the practical use of Colab reached between 70% and 85%. These outcomes suggest that the training positively contributed to strengthening technological literacy among teachers. Furthermore, this program serves as an initial step in preparing educators for the integration of AI into classroom instruction and highlights the need for ongoing technical support to develop practical AI competencies.