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Digitalisasi Wisata Desa: Pelatihan E-Ticket Untuk Kemudahan Kunjungan Di Desa Cisantana Dian Ade Kurnia; Kaslani; Cep Lukman Rohmat
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 09 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Local tourism development is an important effort to support economic growth and sustainability at the village level. Cisantana Village, with its abundant natural and cultural riches, has great potential to develop the tourism sector. However, to achieve its potential, efficient and transparent management is needed. One of the proposed solutions is through the use of a tourist e-ticket application. This situation analysis will describe the location of partners, cases that have occurred, social and cultural aspects, special problems faced, service methods or approaches used, as well as the implications of the results of service to the community . Cisantana Village is located in a rural area that has extraordinary natural and cultural tourism potential. Tourists often come to this village to enjoy the natural beauty, interact with local residents, and experience the rich traditional culture. However, in recent years, increasing tourist interest has also led to complex management problems. Cases that have occurred are a surge in tourist visits that are not well organized, ticket sales that are difficult to monitor, and difficulties in understanding the magnitude of the impact of tourism on the community. As a result of this community service, we also held a successful marketing campaign to promote the use of e-ticketing to tourists. Through social media, village websites, and physical promotional materials, the benefits of e-ticketing are clearly communicated. Travelers are provided with information on how e-ticketing can save them time, avoid long queues, and provide a more comfortable visiting experience. The results of this community service are very satisfying, with a significant increase in tourist visits and positive feedback from users. The digitalization of village tourism through e-ticketing training has opened new doors to ease and comfort in enjoying the charm of Cisantana Village.
Rancang Sistem Presensi Online dengan Metode Gamifikasi dan Online Collaborative Learning Dodi Solihudin; Iin Iin; Dian Ade Kurnia
INTERNAL (Information System Journal) Vol. 5 No. 2 (2022)
Publisher : Masoem University

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Abstract

Online lectures are still being held while Covid-19 pandemic is going to end. Suitable system is needed to ensure the quality of online learning. We must combine the teleconference with the Collaborative Learning System to maintenance the interactions between students and their lecturer. The research is to build a system that can implement the Collaborative Learning System in online lectures. The methods used are gamification and Extreme Programming. The results of the research is the Online Presence application with chat system features, real-time polling system, real-time question-answer, and real-time leaderboard. The application can be accessed athttps://ikmiapp.web.id/presline.
SMART ATTENDANCE TRACKING SYSTEM EMPLOYING DEEP LEARNING FOR FACE ANTI-SPOOFING PROTECTION Bani Nurhakim; Ahmad Rifai; Dian Ade Kurnia; Dadang Sudrajat; Ujang Supriatna
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5992

Abstract

Conventional attendance systems face challenges in accuracy and efficiency, often vulnerable to spoofing and data manipulation. This study addresses these issues by developing a smart attendance system integrating Deep Learning-based facial recognition with anti-spoofing technology. The system ensures secure and reliable attendance authentication while automating and enhancing management processes. Utilizing a convolutional neural network (CNN) architecture, the system processes raw facial images directly without additional feature extraction, improving accuracy and efficiency. A novel training strategy, termed 50 Random Samples-30 Sub-epochs Count-1 Epoch, is introduced to optimize the training process. This strategy involves random sampling during each forward pass and grouping 30 passes as one epoch, enabling the use of complex CNN architectures and automatic dataset expansion. The system achieves 98.90% accuracy in identifying genuine attendance, maintaining a confidence level above 80%, significantly reducing spoofing risks and errors. This innovative solution has significant implications, particularly for educational institutions. It automates attendance tracking, minimizes manual effort, reduces errors, and supports disciplinary enforcement through accurate data. Moreover, its scalability allows for application across various environments, offering benefits to a wide range of institutions. By enhancing data accuracy and operational efficiency, this system sets a foundation for smarter, more reliable attendance management, strengthening administrative practices in education and beyond.