Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Yan Sofyan
Universitas Darma Persada
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Optimizing Google Apps in Improving the Skills and Productivity of the Young Generation of Bojong Village Pondok Kelapa Yan Sofyan; Afri Yudha; Suzuki Syofian; Bagus Tri Mahardika
JEPTIRA Vol 2 No 2 (2024)
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.
Design and Implementation of IoT-Based Smart Aquarium using ESP32 for Water Quality Monitoring and Automatic Feeding Yan Sofyan; Kuncoro Banu
Journal TIFDA (Technology Information and Data Analytic) Vol 3 No 1 (2026): Journal Technology Information and Data Analytic
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v3i1.142

Abstract

Advances in Internet of Things (IoT) technology have enabled the development of smart monitoring and automation systems across various application domains, including aquarium management. Conventional aquarium monitoring often relies on manual observation, which can be time-consuming and less effective for continuous environmental monitoring. This study aims to design, implement, and evaluate an IoT-based Smart Aquarium system utilizing the ESP32 microcontroller as the central controller. The proposed system integrates multiple environmental sensors, including temperature, pH, turbidity, and water level sensors, to acquire real-time aquarium data. Sensor measurements are processed by the ESP32 and transmitted to a cloud-based database, enabling real-time access through a mobile application. The developed platform also incorporates an automatic feeding mechanism using a servo motor, a monitoring camera for visual observation, and a solar panel subsystem as a supplementary energy source. Experimental results demonstrate that all sensor modules successfully acquired and transmitted environmental data to the monitoring platform. The mobile application was able to display real-time sensor readings and monitoring information through a centralized dashboard. Furthermore, the automatic feeding subsystem operated according to predefined schedules, while the camera monitoring and solar power subsystems functioned as intended. The results indicate that the proposed Smart Aquarium platform successfully integrates sensing, communication, monitoring, and automation technologies within a unified IoT ecosystem. The developed system provides an effective solution for real-time monitoring and remote aquarium management through the integration of embedded systems, cloud services, and mobile computing technologies.
Implementasi Natural Language Processing (NLP) dalam Pengembangan Aplikasi Chatbot untuk Pembelajaran Teks Islam Klasik di Pesantren El-Huda El-Islamy Yan Sofyan; Alwi Fachri Ibnu Arroyan
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
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
IoT Prototype System Design for Monitoring Green Mustard Microgreen Cultivation at Sayur Mini Microgreen Jakarta Dimas Gilang Rhomadhon; Yan Sofyan
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 2 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i2.117

Abstract

Urban agriculture, particularly microgreen cultivation, has emerged as a strategic solution to address food needs in limited land areas. This study aims to design and evaluate an Internet of Things (IoT) prototype for monitoring the cultivation of green mustard microgreens (Brassica juncea L.) in Jakarta. The system integrates soil moisture sensors, a DHT22 sensor (temperature and humidity), a TDS (Total Dissolved Solids) sensor, and an NPK soil analyzer, enabling automated and real-time monitoring of environmental conditions. The findings indicate that the implementation of the IoT system improves water-use efficiency by up to 35% and enhances plant growth, achieving an average height of 7.2 cm with stronger root development compared to manual cultivation methods. This research provides a significant contribution to the advancement of precision agriculture in urban environments and serves as a guideline for urban farming practitioners in improving crop yield sustainably.
Co-Authors Afri Yudha Alwi Fachri Ibnu Arroyan Bagus Tri Mahardika Dimas Gilang Rhomadhon Kuncoro Banu Suzuki Syofian