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Implementation of Blockchain Technology in Learning Management System (LMS) Rahardja, Untung; Aini, Qurotul; Khairunisa, Alfiah; Sunarya, Po Abas; Millah, Shofiyul
APTISI Transactions on Management (ATM) Vol 6 No 2 (2022): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i2.1396

Abstract

It is well known by the public that the development of science and technology has progressed very rapidly and even continues to increase from year to year, especially in the education system. But in reality, there are still many learning systems that use conventional methods. This method makes the learning process passive and inactive. But now by implementing blockchain into the online learning process and there is no conventional learning process that makes learning activities boring and technology-saturated in the educational learning system at Raharja University, making the learning process more effective and efficient. The objectives of using blockchain technology in education include developing educational curricula, improving the use of educational applications, processing data about education. The research method is carried out by collecting data and using the literature study. So that the presence of blockchain technology makes the education system at the forefront. This application is done so that the learning system can be done with easy access, without being limited by space and time so that it is more efficient. It can even motivate to increase exploration in the learning process which in turn will increase student productivity, of course.
Bridging the Skills Gap Curriculum Transformation for Automation Industries and the Role of Digital Technopreneurship Tjahjono, Budi; Hermawan, Dadang; Millah, Shofiyul; Evans, Richard
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.620

Abstract

The rapid advancement of digital technology and industrial automation has compelled vocational education to undergo significant curriculum transformation to produce graduates equipped for the demands of the modern workforce. A persistent gap between educational content and industry requirements poses a critical challenge that must be addressed strategically. This study aims to examine the transformation of vocational curricula in preparing students with essential digital and automation related competencies, with a specific focus on the role of digital technopreneurship. The research employs a mixed-method approach, including literature reviews, curriculum analysis, and semi structured interviews with stakeholders from vocational institutions and automation driven industries. The findings highlight the urgent need to integrate emerging technologies such as automation systems, Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics into vocational programs to enhance their alignment with industrial needs. Additionally, the development of cross functional skills, including communication, teamwork, critical thinking, and problem solving, is identified as crucial to graduates success in dynamic work environments. The study underscores the importance of collaborative partnerships between educational institutions and industry players in designing adaptive, future ready curriculum. Furthermore, sustained investment in educational infrastructure and continuous professional development for educators is essential to ensure effective delivery of technology oriented learning. Future research is recommended to explore scalable models of curriculum innovation and to evaluate the long term impacts of digital skill integration on workforce competitiveness in the Industry 4.0 era.
A Proposed Model Expert System for Disease Diagnosis in Children to Make Decisions in First Aid Henderi, Henderi; Al Khudhorie, Fahmie; Maulani, Giandari; Millah, Shofiyul; Devana, Viola Tashya
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 6 No 2 (2022): August 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v6i2.16912

Abstract

Children have a weaker immune system than adults. They are susceptible to disease. Therefore, this study proposes an expert system model of disease diagnosis in children. We develop expert strategies to meet the needs of alternative diagnostic tools in making decisions and first aid for children suffering from illness. The development of an expert system model for diagnosing children's diseases using forwarding chaining based on If-Then as an inference engine. We chose the forward chaining method because it has a framework for thinking like a doctor's when diagnosing and concluding the disease. We made testing to model by doctors with 35 patients. The test results show that the expert systems model of disease diagnosis in children in this research has to be used as an alternative or comparison diagnostic tool with an accuracy rate of 79%.