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Pelatihan Simulasi Dynamic Routing dan Virtual Lan Untuk Jaringan Menggunakan Cisco Packet Tracer Bagi Siswa Magang di PT. Jembatan Data Pangranggo (JDP) Lombok Timur Muhamad Aditya Ananda; Wire Bagye; Sofiansyah Fadli
Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat Vol. 2 No. 3 (2024): Juli: Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian kepada Masyarakat
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/bumi.v2i3.263

Abstract

Training "Dynamic Routing and Virtual LAN Simulation for Networks Using Cisco Packet Tracer" at PT. The Pangranggo Data Bridge (JDP) East Lombok aims to increase the knowledge and skills of apprentice students in the field of computer networks. In this training, participants from the Computer and Network Engineering department were introduced to the basics of networking, dynamic routing, and VLANs using Cisco Packet Tracer as a simulation tool. Through a learning method that includes preparation, implementation and evaluation for seven days, this training succeeded in strengthening theoretical understanding and increasing participants' practical abilities in network configuration. Evaluation results show significant improvements in mastery of dynamic routing and VLAN concepts, preparing participants for challenges in the world of work with relevant practical skills. This training also contributes to the development of a more efficient and integrated network infrastructure
Sistem Pendukung Keputusan Rekomendasi Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) Laurent Nababan; Roswita Daeli; Dodi Siregar; Erlin Windia Ambarsari; Setiawansyah; Sofiansyah Fadli
Journal of Informatics Management and Information Technology Vol. 3 No. 2 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i2.254

Abstract

PT. Indoramah Abadi is a national plastic manufacturing company that focuses on the production of mineral water packaging. Because the amount of goods produced is quite large, the company has a large number of employees, including contract employees and permanent employees. However, the large number of employees can cause problems in determining which contract employees will be appointed as permanent employees. This problem occurs because the company does not have objective criteria in selecting permanent employees, causing jealousy among employees. In addition, the calculation process used is still manual and inaccurate, thus affecting employee performance. To overcome these problems, the authors conducted research using the MOORA method. This method is a method that can assist in making decisions by using complex mathematical calculations that can be used to solve problems in conflicting criteria, namely benefits and costs. The results of the study show that alternative A4 with a value of 0.2106 is the highest score. Therefore, it can be concluded that a contract employee named Aksa Alpindo deserves to be appointed as a permanent employee.
Analisis Efektivitas Aplikasi E-Samsat sebagai Sarana Pembayaran Pajak dengan Metode Eucs Rizal Ependi; Sofiansyah Fadli
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 3 (2025): Juli : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i3.453

Abstract

The purpose of this study is to assess how effective. of the e-Samsat application as a vehicle tax payment platform using the End-User Computing Satisfaction (EUCS) approach. The EUCS model evaluates five dimensions: content, accuracy, format, ease of use, and timeliness. Data collection was carried out by means of questionnaires provided to 33 participants who are e-Samsat users in Central Lombok. The analysis methods include convergent validity testing, AVE, discriminant validity, and construct reliability. The findings indicate an average overall satisfaction score of 3.68 out of 5, classifying the e-Samsat application as "effective". This result suggests that e-Samsat has largely met user expectations, especially in terms of accessibility and information accuracy, although improvements are still needed to reach the "highly effective" category.
Analisis Kepuasan Pengguna Jaringan WiFi di Badan Pusat Statistika Lombok Tengah dengan Metode Servqual Rial Husne; Sofiansyah Fadli
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.931

Abstract

Reliable internet connectivity is a crucial element in supporting work effectiveness at the Central Bureau of Statistics (BPS) in Central Lombok. However, users of the internal WiFi network have reported various issues, including inconsistent speed and weak signal stability. This study aims to analyze user satisfaction with the WiFi network services using the Servqual method, which assesses service quality based on five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. A quantitative approach was employed by distributing questionnaires to employees and staff who utilize the network. Data analysis was conducted by measuring the gap between users’ expectations and their perceptions of the service quality. The results show that most dimensions experienced a negative gap, particularly responsiveness (-0.47) and tangibles (-0.40), indicating inadequate response speed and suboptimal infrastructure conditions. Conversely, assurance (+0.40) and empathy (+0.27) showed positive gaps, reflecting users’ trust in the competence of IT staff and their perceived attentiveness. These findings highlight the need for technical evaluations, infrastructure improvements, and capacity building of human resources through regular training. This research contributes to the understanding of information technology service quality in the public sector and provides a foundation for strategic decision-making to enhance digital services. Moreover, the study encourages further research using mixed methods to gain a more comprehensive understanding of user satisfaction with WiFi services in government institutions.
Pelatihan Desain Grafis untuk Meningkatkan Kompetensi Pembelajaran Siswa Praktik Kerja Lapangan di Rideatama Muhamad Amiza Surya; Sofiansyah Fadli
Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal Vol. 2 No. 4 (2025): Oktober: Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/masyarakatmandiri.v2i4.2260

Abstract

Graphic design training is an important strategy to enhance student learning competencies, particularly for students participating in the Internship Program (PKL) at Rideatama. This study aims to provide foundational understanding and advanced skills in using the Canva application as an effective learning medium. The training was attended by PKL students from SMKN 1 Kopang with an interactive learning method and hands-on practice. The evaluation results showed significant improvement in creativity, the ability to utilize design features, and students' confidence in developing independent works. The majority of participants stated that the training material was relevant to their needs, and the instructor's delivery was easy to understand, as reflected in the average evaluation score of 86.67%. Although there were some suggestions regarding the training duration being too short, overall, the activity successfully enhanced student learning competencies. This training is expected to serve as a competency development model that is beneficial for both the education and professional sectors, providing skills that can be directly applied in the field of graphic design.
Pelatihan Penggunaan Aplikasi Riset Inovasi (Rinov) untuk Mendorong Partisipasi Masyarakat dalam Kompetisi Liga Sinova Baiq Rara Sinar Arian; Sofiansyah Fadli
Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Vol. 2 No. 4 (2025): Oktober: Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/transformasi.v2i4.2262

Abstract

This community service activity aims to improve the understanding and skills of the community of Selebung Village, Batukliang District, Central Lombok Regency, in using the Riset Inovasi (Rinov) application as a means of registration for the Liga Sinova competition. The main problem faced by the community is the limited information regarding technical procedures and competition requirements. The implementation methods included observation, coordination with village officials, material planning, and a one-day training session. The training began with a pre-test, presentation of material from the official module, a question and answer session, practice in registering for a Rinov account, and concluded with a post-test and group photo. The evaluation results showed an increase in participants' understanding, as seen from the comparison of pre-test and post-test scores with an increase of 25%, so that participants were able to register their accounts in a more focused manner. Additionally, this activity encouraged village officials to provide follow-up assistance, ensuring the program's sustainability. Thus, this training contributed to community empowerment through the use of the Rinov application and strengthened their participation in the Liga Sinova competition.
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.