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All Journal Jurnal CoreIT Jurnal Manajemen Informatika dan Sistem Informasi Journal of Informatics Management and Information Technology Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Jurnal Teknik Mesin, Industri, Elektro dan Informatika ETIK (Jurnal Elektronika Terapan dan Ilmu Komputer) Jurnal Penelitian Sistem Informasi Jurnal Kabar Masyarakat Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Modem : Jurnal Informatika dan Sains Teknologi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat Inovasi Sosial: Jurnal Pengabdian Masyarakat Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal Ignite: Journal Islamic Global Network for Information Technology and Entrepreneurship Green Engineering: Journal of Engineering and Applied Science Global Science: Journal of Information Technology and Computer Science
Sofiansyah Fadli
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Pelatihan Pemanfaatan Aplikasi Webalita sebagai Media Edukasi Tumbuh Kembang Balita Berbasis Website Hervina Halimi; Sofiansyah Fadli; Ilham Kusuma Jaya; Muhamad Amiza Surya
Inovasi Sosial : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2025): November : Inovasi Sosial : Jurnal Pengabdian Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/inovasisosial.v2i4.2353

Abstract

This community service activity aims to improve the knowledge and skills of parents and posyandu cadres in utilizing the Webalita application as a web-based educational media for monitoring child growth and development. The main problem faced in the community is the limited access and understanding of digital educational tools that can practically and accurately support early childhood growth monitoring. The program was carried out through training and mentoring activities, which included: (1) socialization on the importance of monitoring child growth and development; (2) training on the use of the Webalita application; and (3) evaluation of participants’ understanding through questionnaires and hands-on practice. The results showed an increase in participants’ knowledge and skills in accessing, operating, and utilizing the Webalita application, with a score of 81.5%. Participants also responded positively to the application as it was considered helpful in providing educational information related to child growth and development. Therefore, this training can serve as a solution to support community health digital literacy through technology-based approaches.
Holistic Assessment of Urban Transportation Electrification Strategies Considering Air Quality, Energy Efficiency, and Public Health Benefits Farida Arfani; Sofiansyah Fadli; Saikin Saikin
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 3 (2024): July : Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i3.247

Abstract

Urbanization has significantly impacted air quality in cities, with vehicular emissions being a major contributor to pollution. This study explores the potential benefits of electrifying urban transportation, specifically through the adoption of electric vehicles (EVs). The findings indicate that EVs substantially reduce key pollutants such as CO₂, NOx, and PM₂.₅, improving urban air quality and mitigating climate change. The analysis shows that EV adoption can lead to a 50% reduction in CO₂ emissions in high EV adoption scenarios (70% EVs). Additionally, EVs are more energy-efficient than conventional vehicles, consuming significantly less energy per kilometer. This transition not only reduces dependence on fossil fuels but also supports sustainable urban development. Furthermore, the study highlights the public health benefits of electrification, with reduced levels of harmful pollutants leading to lower incidences of respiratory and cardiovascular diseases. Public health surveys reveal strong support for EV adoption, with respondents believing it would significantly improve air quality and health outcomes. In conclusion, the electrification of urban transportation presents a multifaceted approach to environmental sustainability, energy efficiency, and public health improvement.
Explainable Deep-Reinforcement Learning Framework for Autonomous Traffic Signal Control Integrating V2X Data and Smart Infrastructure Jarot Dian Susatyono; Sofiansyah Fadli; G Thippanna
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 2 (2025): June: Global Science: Journal of Information Technology and Computer Science
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i2.172

Abstract

The integration of autonomous systems in traffic management has become increasingly important as urban populations and vehicle numbers continue to rise, leading to significant congestion. Traditional traffic signal control systems, which rely on fixed timing, are no longer sufficient to handle the dynamic and complex nature of urban traffic. To address these challenges, the proposed explainable Deep Reinforcement Learning (DRL) framework aims to optimize traffic signal control by dynamically adjusting traffic signals based on real-time data. This approach enhances traffic flow efficiency, reduces congestion, and improves overall system performance. The framework leverages Vehicle-to-Everything (V2X) communication, which enables real-time data exchange between vehicles, infrastructure, and other road users, extending the perception range of autonomous vehicles and providing valuable insights for traffic signal optimization. Additionally, the integration of smart infrastructure, such as smart intersections, plays a crucial role in enabling adaptive traffic management and facilitating better coordination across multiple intersections. One of the key advantages of the proposed system is its transparency, achieved through the implementation of explainable AI (XAI) techniques. These mechanisms provide clear insights into the decision-making processes, ensuring that traffic management authorities and system users can understand the rationale behind the system’s decisions. Although challenges such as data accuracy, scalability, and cybersecurity risks remain, the proposed DRL framework shows great promise in revolutionizing traffic management systems. Future research directions include enhancing data collection methods, improving the scalability of the system for larger cities, and further developing explainability features to improve trust and adoption in real-world applications.
Co-Authors Aenul Hayat Anti Susilawati Apriana Irawati Baiq Rara Sinar Arian Baiq Rianis Dodi Siregar Edi Haryanto Erlin Windia Ambarsari Farida Arfani G Thippanna Hairul Fahmi Heru Karuniawan Hervina Halimi Ilham Kusuma Jaya Jarot Dian Susatyono Khairul Imtihan Lalu Bintang Aryandhana Lalu Mutawalli Laurent Nababan Maulana Ashari Muhamad Aditya Ananda Muhamad Amiza Surya Muhammad Masjun Efendi Ni Wayan Suwiti Pirmansyah Pirmansyah Putri Nirmalsari Qaramathul Puspita Ningrum Rial Husne Rika Nurhaliza Rizal Ependi Roswita Daeli Saeful Hamdi Saikin Saikin saikin Setiawansyah Setiawansyah sunardi sunardi Tedi Irawan Wafiah Murniati Wire Bagye Yeni Rahmayati