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All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Sofyan, Yan
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

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Optimizing Google Apps in Improving the Skills and Productivity of the Young Generation of Bojong Village Pondok Kelapa Sofyan, Yan; Yudha, Afri; Syofian, Suzuki; Tri Mahardika, Bagus
JEPTIRA Vol 2 No 2 (2024): JOURNAL OF COMMUNITY ENGAGEMENT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jep.v2i2.68

Abstract

Effective and efficient administrative and office management remains a primary challenge for organizations in the digital era. This community service activity aims to enhance the understanding and skills of Bojong youth in utilizing Google applications (Google Drive, Google Docs, Google Sheets, and Google Forms) as solutions for administrative management. The methods applied include theoretical training, hands-on practice, and evaluation of application implementation in daily workflows. The results indicate that using Google applications accelerates data processing by up to 30%, reduces paper usage by 40%, and improves collaboration and communication effectiveness among participants. Additionally, this training fosters a transition toward a digital work culture that is adaptive and responsive to technological challenges. Thus, using Google applications has proven to be a practical and relevant solution for supporting better organizational administrative governance.
Rancang Bangun Sistem Keamanan pada Rak Server Berbasis Internet of Things Setiawan, Syifa Aditya; Sofyan, Yan
Journal TIFDA (Technology Information and Data Analytic) Vol 1 No 2 (2024): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v1i2.57

Abstract

Server memiliki peranan yang krusial dalam pengelolaan data dan jaringan. Server harus beroperasi setiap hari selama 24 jam. Perancangan alat untuk menjaga kondisi rak server agar tetap stabil dan tidak terjadi overheat merupakan upaya untuk menjaga kinerja server dan mencegah munculnya masalah yang lebih besar pada server. Manfaat dari alat ini adalah monitoring tidak perlu langsung datang ke ruang server untuk memeriksa suhu dan kelembaban yang terjadi pada rak server. Selain itu alat ini terintegrasi dengan Telegram, sehingga proses pengecekan suhu dan kelembaban menjadi lebih mudah dilakukan. Hasil pengamatan pada penelitian ini diantaranya alat memberikan respon realtime kondisi rak server yaitu suhu dan kelembaban serta memberikan pemberitahuan ke Telegram jika terjadi situasi suhu di luar batas yang telah ditetapkan.
Implementasi Natural Language Processing (NLP) dalam Pengembangan Aplikasi Chatbot untuk Pembelajaran Teks Islam Klasik di Pesantren El-Huda El-Islamy Sofyan, Yan; Arroyan, Alwi Fachri Ibnu
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.85

Abstract

El-Huda El-Islamy Islamic Boarding School is an Islamic educational institution that aims to mould students into competent and noble religious preachers. This institution focuses on learning and deep understanding of Islamic teachings, including the study of classical books such as the Yellow Book of Fathul Qorib. This research aims to develop and evaluate an Android-based chatbot application that uses the BERT model to help the learning process of the Yellow Book of Fathul Qorib at El-Huda Islamic Boarding School. In this research, the BERT model is integrated into the chatbot application to understand and respond to user questions appropriately. Testing was done by asking 25 questions to the chatbot, which successfully answered 11 questions with a success rate of 44%. Evaluation of the model performance using confusion matrix showed that the chatbot had 90% accuracy, 87% precision, 87% recall, and 86% F1-score. These results show that the chatbot has not been able to provide relevant and accurate responses, and recognise most of the questions asked. This research concludes that this chatbot application is not yet an effective tool to support the learning process at El-Huda Islamic Boarding School
Co-Authors Arroyan, Alwi Fachri Ibnu Setiawan, Syifa Aditya Suzuki Syofian Tri Mahardika, Bagus Yudha, Afri