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All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Bagus Tri Mahardika
Darma Persada University
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 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.
The Application of Programmable Logic Controllers (PLC) in Vocational Education Wisnu Budiarjo; Trisna Ardi Wiradinata; Rolan Siregar; Yendi Esye; Eva Novianti; Bagus Tri Mahardika; Atik Kurnianto
JEPTIRA Vol 3 No 1 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.95

Abstract

This article outlines a systematic training program aimed at introducing and improving participants' comprehension of Programmable Logic Controllers (PLCs), a fundamental element in industrial automation systems. The training employed practical, hands-on workshops concentrating on fundamental PLC principles, hardware types, programming languages, and operational procedures. The participants were vocational school educators, students, and undergraduate engineering majors. The findings indicated substantial enhancements in the understanding and utilization of PLCs in automation activities, effectively connecting theoretical education with practical industry applications. The results further illustrate the efficacy of experiential learning in cultivating practical skills necessary for meeting the requirements of Industry 4.0 settings.
PENERAPAN NATURAL LANGUAGE PROCESSING PADA PENGELOLAAN BERKAS DIGITAL MENGGUNAKAN CHATBOT DI PUSDATIN DINAS PPKUKM Bagus Tri Mahardika; Rezza Maulana
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.v2i2.109

Abstract

Digital document management is a significant challenge for government organizations, particularly when the information retrieval procedure remains manual and inefficient. This research seeks to create a chatbot system utilizing Natural Language Processing (NLP) to aid users in locating and reading digital files through natural language instructions. This system was deployed at the Data Center (Pusdatin) of the PPKUKM Office to expedite information retrieval and enhance document management efficiency. The system was constructed utilizing the Laravel framework for the user interface and Python's FastAPI for natural language processing. Features encompass document retrieval by name and date, along with the capability to exhibit document content directly. This research utilized the Waterfall software development methodology, encompassing stages of requirements analysis, system design, implementation, and testing. The final results indicate that the system operates effectively and offers a more adaptable and user-centric interaction experience.
Implementation of The Random Forest Algorithm for Early Detection Indications of Autism in Special Needs School (SLB) Students Bagus Tri Mahardika; Duha Nur Pambudi
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.v3i1.143

Abstract

This study aims to develop a system for early detection signs of autism in pupils at Special Needs Schools (SLB) by applying the Random Forest method. The problem addressed is how to provide an accurate and easily accessible tool for the early identification of signs of autism. The solution involves developing a Random Forest-based classification model using data from the Autism Spectrum Quotient (AQ-10) questionnaire, and then integrating it into a web application system built with a PHP frontend and a Flask backend. This system allows users to complete the questionnaire, upload data, and obtain prediction results automatically. Test results show that the model has an average accuracy of 99%, precision of 98%, recall of 100%, and an F1-score of 99%, as well as an AUC value above 0.98 in every fold. Consequently, this system is effective as a tool for initial screening to detect signs of autism in students at special schools in a practical and efficient manner.
The Use of AI Tools in Supporting Academic Activities for High School/Vocational School Teachers in Bekasi Herianto S.Pd., MT; Bagus Tri Mahardika; Suzuki Syofian; Yan Sofyan Andhana Saputra; Darsono
JEPTIRA Vol 3 No 2 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.97

Abstract

The goal of this community service project was to improve lecturers' and teachers' abilities to use cutting-edge prompting strategies based on artificial intelligence (AI) as a breakthrough in teaching. Chain of Thought (CoT) and Role Prompting, two crucial prompting techniques that have been demonstrated to greatly enhance human-AI interaction in educational settings, were the main topics of the course. Twenty-five participants from different educational institutions participated in a series of workshops, practical exercises, and case-based discussions. The findings showed that participants' capacity to create efficient and contextually relevant prompts had significantly improved. Additionally, the training helped teachers become more technologically literate and acted as a link to assist the continuous digital transformation of education. The initiative highlights the importance of equipping educators with AI-related skills that are both practical and pedagogically meaningful, especially as generative technologies become increasingly embedded in learning environments.
Design and Development of a Web-Based Community Complaint Information System (SIPMAS) Rivandi Ilham; Enrico Abdillah N. P; Muhammad Rama Prasetyo; Bagus Tri Mahardika; Yan Sofyan Andhana Saputra
JEPTIRA Vol 4 No 1 (2026): Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v4i1.151

Abstract

This study aims to design and develop a web-based public complaint information system named SIPMAS (Sistem Informasi Pengaduan Masyarakat). Previously, municipal and infrastructural grievances in target community sectors were communicated through physical paperwork or unstructured short messaging services, causing immense delays, loss of data tracking, and a lack of transparency. The system was engineered using the Laravel framework, PHP, and a MySQL relational database following the Model-View-Controller (MVC) software design pattern. System evaluation was conducted using functional Black Box testing and deployment response tracking metrics. The results indicate that the SIPMAS portal successfully provides a centralized community environment featuring structured grievance logging, automated urgency sorting, and status validation tracking logs, while offering an administrative control dashboard for comprehensive mitigation management. This digital architecture assists regional administrators in processing neighborhood infrastructure issues more transparently and efficiently, thereby enhancing community administrative accountability.
Co-Authors Afri Yudha Atik Kurnianto Darsono Duha Nur Pambudi Enrico Abdillah N. P Eva Novianti Herianto S.Pd., MT Muhammad Rama Prasetyo Rezza Maulana Rivandi Ilham Siregar, Rolan Suzuki Syofian Trisna Ardi Wiradinata Wisnu Budiarjo Yan Sofyan Yan Sofyan Andhana Saputra Yendi Esye