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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Abdimas Ilmiah Citra Bakti (JAICB) ABSYARA: Jurnal Pengabdian Pada Masyarakat CSRID
Arwansyah
Undipa Makassar
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Pelatihan teknologi informasi pada kantor kelurahan Barrang Caddi Kepulauan Sangkarrang Nurul Aini; Erfan Hasmin; Heriadi Heriadi; Indra Samsie; Sitti Aisa; Muhammad Furqan Rasyid; Sriwahyuningsi Piu; Sunardi Sunardi; Sitti Harlina; Novita Sambo Layuk; Andi Asvin Mahersatillah Suradi; Arwansyah Arwansyah
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 4 No 1 (2023): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v4i1.15906

Abstract

As a public service provider, the sub-district office plays a crucial role in the issuance of referral letters and certificates. In this era of digitalization, effective and efficient administrative services are demanded, necessitating the improvement of staff knowledge and skills in information technology literacy. Hence, this community engagement activity aims to enhance the quality of administrative services by empowering human resources to operate computers and office applications at the Barrang Caddi Sub-district Office. The training program spans 3 days, encompassing Microsoft Word and Excel tutorials, as well as E-Mail usage. Enthusiasm was evident among the participants, which consisted of 7 sub-district office staff and 4 residents, as they actively engaged in the activities and completed the assigned tasks. The evaluation results demonstrate that the participants have comprehended and effectively applied the knowledge imparted during the training. The training materials have assisted the participants in optimizing their information technology knowledge and skills, such as efficiently managing administrative documents using Microsoft Office, operating E-Mail, and understanding the essential tools in Excel. This training validates the significance of information technology literacy efforts in sub-district office settings, particularly in areas with limited access to information. It is hoped that this community engagement initiative will continue and provide sustained benefits in enhancing administrative services and human resources quality at the Barrang Caddi Sub-district Office
PEMANFAATAN MICROSOFT OFFICE EXCEL DALAM PENINGKATAN TATA KELOLA NILAI GURU SMA NEGERI 6 BARRU Sitti Harlina; Magfirah; Nurul Aini; Usman; Novita Sambo Layuk; Sitti Aisa; Faizal; Sadly Syamsuddin; Heriadi; Arwansyah; Nurdiansah; Sunardi; Madyana Patasik; Khaddafi; Akbar Bahtiar
Jurnal Abdimas Ilmiah Citra Bakti Vol. 5 No. 2 (2024)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v5i2.3277

Abstract

Kegiatan pengabdian masyarakat melalui pelatihan microsoft office excel kepada guru SMA Negeri 6 Barru mempunyai tujuan, peningkatan keterampilan, integritas teknologi dalam pengajaran, pengembangan materi pembelajaran yang relevan dan peningkatan efisiensi administrasi bagi guru yang dapat mencakup beberapa sasaran aspek kunci untuk, peningkatan kompetensi, dan keterampilan guru dalam memanfaatkan teknologi dan platform microsoft office excel dalam proses pengajaran dan manajemen data untuk analisis dan pelaporan nilai yang lebih baik, menciptakan lingkungan pembelajaran yang lebih adaptif dan responsif terhadap kebutuhan siswa.Metode yang digunakan yaitu pelatihan secara tatap muka di kelas, dengan pemberian materi dan latihan untuk mendapatkan hasil yang lebih maksimal. Hasil pret test 30 % pengenalan, 30 % rumus, 10 % fungsi, dan 10 % data dan grafik. Setelah pelatihan hasilnya menunjukkan peningkatan yaitu 85 % pengenalan, 80 rumus, 75 % fungsi, 85% data dan grafik tentang pemahaman dari materi microsoft office excel. Melalui kolaborasi dan pertukaran pengalaman dapat membangun kolaborasi antara guru-guru SMA Negeri 6 Barru dalam menciptakan lingkungan belajar yang inovatif.
TRANSFORMASI DIGITAL YAYASAN MELALUI AI DAN CLOUD: STUDI KASUS DI ASHABUL KAHFI PAREPARE Nurul Aini; Suryani Suryani; Faizal Faizal; Herman Heriadi; Sitti Aisa; Asmah Akhriana; Nurdiansah Nurdiansah; Ahyuna Ahyuna; Erfan Hasmin; Arwansyah Arwansyah; Sadly Syamsudddin; Hasyrif SY
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.45597

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan literasi digital pengurus dan pendidik Yayasan Ashabul Kahfi Parepare melalui pelatihan penggunaan Google Drive dan ChatGPT. Metode yang digunakan meliputi pendidikan masyarakat, pelatihan berbasis praktik langsung, serta difusi ipteks. Peserta diberikan penyuluhan mengenai pentingnya transformasi digital, kemudian dilatih dalam pengelolaan dokumen berbasis cloud dan pemanfaatan AI untuk menyusun materi administrasi. Hasil evaluasi pre-test dan post-test menunjukkan peningkatan signifikan pada pemahaman dan keterampilan peserta, yang diperkuat dengan uji t-test (p < 0,001). Selain itu, peserta menunjukkan antusiasme tinggi dan respons positif terhadap materi pelatihan. Kegiatan ini berhasil meningkatkan kapasitas digital yayasan dan memberikan dampak nyata dalam mendukung pengelolaan organisasi yang lebih efisien dan adaptif terhadap perkembangan teknologi.
Aplikasi Kemiripan Dokumen Menggunakan Multi Algoritma Pada UNDIPA Makassar Nurdiansah; Arwansyah; Cucut Susanto; Willem Musu; Suryani; Saprial Metthew Godliving Perdamaian Ani
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.320-332

Abstract

Measuring similarity between text documents is a fundamental task in Natural Language Processing (NLP) with broad applications, such as plagiarism detection, document clustering, and recommendation systems. This study aims to analyze and compare the performance of various document similarity algorithms, ranging from traditional lexical approaches to modern semantic methods. The algorithms reviewed include Bag-of-Words (BoW), TF-IDF, and Jaccard Similarity, as well as semantic representation-based methods such as Word Embeddings, Doc2Vec, and Sentence-BERT. An interactive web application was developed using the Gradio library to visualize comparison results in real-time and allow users to upload their own documents. The results indicate that lexical methods are effective at detecting keyword-based similarity but fail to capture semantic similarity when synonyms are used. Conversely, semantic methods—particularly Sentence-BERT—significantly outperform others in identifying contextual and semantic similarity, yielding more accurate scores for documents that differ in vocabulary yet share similar meanings. The study concludes that selecting the appropriate algorithm requires considering document characteristics and analysis objectives, and that the developed interactive tool can serve as an educational and experimental platform for such evaluations
Co-Authors Ahyuna Ahyuna Akbar Bahtiar Andi Asvin Mahersatillah Suradi Asmah Akhriana Cucut Susanto Erfan Hasmin Faizal Faizal Harlina, Sitti Hasyrif SY Heriadi Heriadi Herman Heriadi Madyana Patasik Magfirah Magfirah Muh. Khaddafi Muhammad Furqan Rasyid Novita Sambo Layuk Nurdiansah Nurul Aini Sadly Syamsudddin Sadly Syamsuddin Samsie, Indra Saprial Metthew Godliving Perdamaian Ani Sitti Aisa Sriwahyuningsi Piu Sunardi Sunardi Suryani Suryani Usman Willem Musu