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All Journal JUITA : Jurnal Informatika Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Suzuki Syofian
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.
Overview of LabVIEW as a Graphical Programming Tool for Developing Industrial Technology Proficiency Reza Istoni; Yefri Chan; Nur Hasanah; Sarah Isniah; Budi Sumartono; Suzuki Syofian; Timor Setiyaningsih
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.v3i1.94

Abstract

The purpose of this session is to expose participants with technical and vocational educational backgrounds to LabVIEW graphics programming software. In technical and industrial domains like biotechnology, aircraft, and telecommunications, LabVIEW is a commonly used system development tool. Hands-on practice and a demonstrative approach are used in the in-person instruction. LabVIEW's foundations, industrial applications, and hardware and software integration are all covered in the curriculum. The training results show that participants have a better understanding of visual programming and its possible uses in the business. This program is a component of a larger strategy to promote Industry 4.0-aligned technological literacy.
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.
Implementation of Internet of Things in a Smart Trash Bin System for Organic and Inorganic Waste Sorting using Solar Cells at SMP Al Wathoniyah 9 Jakarta Dwi Prasetyo; Suzuki Syofian
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.v2i2.120

Abstract

Ineffective waste management in schools, characterized by unsegregated waste collection, hinders recycling efforts and harms the local environment. This study addresses this issue by designing, implementing, and evaluating an Internet of Things (IoT)-based smart trash bin system with automatic organic and inorganic waste sorting, powered by solar energy for operation at SMP Al Wathoniyah 9 Jakarta. The system utilizes an ESP32 microcontroller with a multi-sensor detection logic: an inductive proximity sensor for metals, a capacitive proximity sensor for plastics, and an infrared sensor for organic waste, complemented by ultrasonic sensors for fill-level monitoring. Deployed and tested in the school environment, the system demonstrated high reliability, achieving a sorting accuracy of 96.67% across 2,598 trials. Data on waste volume and type are transmitted and displayed in real-time via a dedicated web-based monitoring dashboard. The results confirm the system's effectiveness as a practical tool for automated waste segregation. Furthermore, its solar-powered operation ensures energy independence, while the real-time monitoring capability supports smarter waste management. This implementation serves as a concrete model for integrating environmental technology into education, promoting sustainability awareness and supporting the development of smart schools
Deteksi CO di Kabin Kendaraan Berjarak Jauh dan Analisis Kepadatan Lalu Lintas Menggunakan Logika Fuzzy: Deteksi CO di Kabin Kendaraan Berjarak Jauh dan Analisis Kepadatan Lalu Lintas Menggunakan Logika Fuzzy Suzuki Syofian; Aji Setiawan; Muhamad Fathan; Rolan Siregar
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 2, July 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i2.26854

Abstract

Carbon monoxide (CO) inside vehicle cabins poses a significant health risk to passengers and can even lead to fatalities. This danger primarily arises from inadequate ventilation, which allows exhaust fumes to seep into the cabin and be gradually inhaled. CO is a gas that lacks color, odor, taste, and does not cause irritation, making it difficult to detect without proper tools. It is commonly encountered in industrial environments and is produced by the incomplete combustion of fuel in motor vehicles, heating systems, devices that burn carbon-based materials, wood stoves, train emissions, gas burning, and even tobacco smoke. However, the primary contributor is the residual combustion from vehicle engines. Given these concerns, this study aims to develop a system to monitor and control carbon monoxide concentrations within vehicle cabins using fuzzy logic. The system achieved an average error rate of 2.9% in reducing CO concentrations, with responsive fan control latency below 5 seconds. A microcontroller will serve as the core component for processing and control. The implementation of this system is expected to enable real-time detection of CO levels in the cabin and alert the driver accordingly. Ultimately, this can help reduce incidents of CO poisoning among vehicle occupants
Co-Authors Afri Yudha Aji Setiawan Bagus Tri Mahardika Budi Sumartono Darsono Dwi Prasetyo Herianto S.Pd., MT Muhamad Fathan Nur Hasanah Reza Istoni Rolan Siregar Sarah Isniah Timor Setiyaningsih Yan Sofyan Yan Sofyan Andhana Saputra yefri chan