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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer JOIN (Jurnal Online Informatika) International Journal of Artificial Intelligence Research Technomedia Journal Journal of Education Technology Aptisi Transactions on Management JTP - Jurnal Teknologi Pendidikan Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal ADI Journal on Recent Innovation (AJRI) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Transactions on Artificial Intelligence (ITALIC)
Santoso, Nuke Puji Lestari
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Religion 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 Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Blockchain Education Concept 4.0: Student-Centered iLearning Blockchain Framework Prawiyogi, Anggy Giri; Aini, Qurotul; Santoso, Nuke Puji Lestari; Lutfiani, Ninda; Juniar, Hega Lutfilah Juniar
JTP - Jurnal Teknologi Pendidikan Vol. 23 No. 2 (2021): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v23i2.20978

Abstract

Technological developments encourage digitization in the learning process. Inversely proportional to the results of competency evaluation which are still centralized. Cause competitiveness and competence of students that are not measured quantitatively. The application of micro-teaching can be an option in solving existing problems. Combining gamification and blockchain makes the learning process more enjoyable with game techniques, where activities such as learning, lecture assignments, and assessments are documented transparently and have reliable security. This student-centered learning process is called GamiChain (Gamification Blockchain). This blockchain gamification-based learning application is also an important activity that can be a brilliant breakthrough in education. This application aims to encourage the student creativity ecosystem, to make students have a more competitive spirit to compete with maximum capabilities. And can display learning outcomes in the form of certificates that are accurate in authenticity and can be used in the industrial world. GamiChain can form an official standard of learning by documenting lectures permanently, transparently, and distributed formally and informally into the Blockchain network with the help of smart contracts. The Gamification method in education is used in this research. Results Evaluation of blockchain application in education through GamiChain (Gamification Blockchain) can benefit universities to create official certifications and increase confidence in student scores transparently and sustainably that they can control.
Reliability Assessment of Attendance Systems Based on Face Recognition Under Varying Lighting Conditions Afiyanto, Rafid; Astuti, Eka Dian; Kamal, Abdullah Arif; Santoso, Nuke Puji Lestari
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.924

Abstract

The rapid adoption of face recognition technology for attendance systems has raised concerns about its reliability under varying lighting conditions, which often affect real world deployment. This study aims to analyze the reliability of a face recognition based attendance system under diverse lighting scenarios, addressing challenges in accuracy and robustness. The research employs a deep learning approach, utilizing a Convolutional Neural Network (CNN) trained on a dataset of facial images captured under controlled and uncontrolled lighting conditions, ranging from low to high illumination levels. The methodology includes preprocessing techniques for illumination normalization and feature extraction, followed by performance evaluation using metrics such as accuracy, precision, and false acceptance rate. Experimental results demonstrate that the proposed system achieves an accuracy of 92% in optimal lighting but drops to 78% under low light conditions, highlighting the impact of illumination on recognition performance. The integration of adaptive preprocessing techniques improves reliability by 12% in challenging scenarios. This study concludes that while face recognition based attendance systems are highly effective, their reliability in diverse lighting conditions can be significantly enhanced through advanced preprocessing and robust algorithm design, offering practical implications for real time biometric applications in dynamic educational and workplace settings.
Co-Authors Abbas, Maulana Afiyanto, Rafid Anggy Giri Prawiyogi Anwar, Aang Solahudin Apriliasari, Dwi Astriyani, Erna Astuti, Eka Dian Bennet, Daniel Bist, Ankur Singh Danang, Danang Danny Manongga Desy Apriani Dwi Andayani, Dwi Eko Sediyono Elmanda, Vonda Farail, Maulana Faqih Faturahman, Adam Fitra Putri Oganda Fitriani, Anandha Friandi, Sendy Zul Harahap, Eka Purnama Irwan Sembiring Juniar, Hega Lutfilah Juniar Kamal, Abdullah Arif Khoirunisa, Alfiah Kumoro, Dwi Ferdiyatmoko Cahya Marviola Hardini Maulana, Sabda Millah, Shofiyul Muhammad Iqbal Mulyati Mustofa Kamil, Mustofa Mustofa, Kenny Ilyas Natalia, Elisa Ananda Ninda Lutfiani Nur Azizah Nurmala, Risma Pangaribuan, Kelvin Po Abas Sunarya Qurotul Aini Ratri, Sanda Ramadhan Rawat, Bhupesh Rizki Galang Rahmadani Ruli Supriati, Ruli Salam, Rahmat Sandy Kosasi siti Nurindah Sari Siti Ria Zuliana, Siti Ria Sri Yulianto Joko Prasetyo Sulistiawati Sulistiawati Suryari Purnama Tangkaw, Melani Rapina Untung Rahardja Vaher, Kristina Wahid, Syahrul Mu'Arif Xolani, Zanele