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All Journal Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Jurnal Ilmiah Matrik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Technomedia Journal Aptisi Transactions on Management CCIT (Creative Communication and Innovative Technology) Journal Journal of Information System,Graphics, Hospitality and Technology ADI Journal on Recent Innovation (AJRI) Jurnal Sistem Informasi dan Informatika (SIMIKA) Best Journal (Biology Education, Sains and Technology) ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System 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) MAVIB Journal : Jurnal Multimedia Audio Visual and Broadcasting International Journal of Cyber and IT Service Management (IJCITSM) Universal Raharja Community (URNITY Journal) Jurnal Maklumatika International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Ruli Supriati, Ruli
Universitas Raharja
Religion Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Sustainable Digital Business Model Innovation through Learning Factory and AI Azizah, Nur; Supriati, Ruli; Padeli, Padeli; Mulyati, Mulyati; Apriani, Desy; Fae, Nahlie
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ygn11n27

Abstract

The digital era compels organizations to continuously innovate in creating sustainable digital business models that integrate technology, human resources, and environmental sustainability. Within this transformation, the Learning Factory emerges as an innovative concept that connects theoretical learning with practical application, enabling students and industry practitioners to co-create solutions through real-world, technology-based projects. Simultaneously, Artificial Intelligence (AI) enhances analytical, predictive, and adaptive capabilities, driving efficiency, innovation, and data-driven decision-making across organizational processes. This study aims to explore the synergy between LearningFactory and AI as a strategic driver of innovation in competitive and sustainable digital business models aligned with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure). Through a qualitative methodology combining literature review and case study analysis of technology-based organizations and higher education institutions implementing the Learning Factory framework, the research identifies how AI integration strengthens learning outcomes, accelerates digital transformation, and promotes sustainability-driven innovation. The findings reveal that this synergy fostersadaptability, enhances human resource competencies, and generates economic,social, and environmental value. Furthermore, it encourages universities and industries to co-develop agile ecosystems that nurture startupreneurship, continuous learning, and inclusive innovation. Ultimately, this study provides strategic recommendations for designing adaptive, competitive, and sustainable digital business models that empower human potential while advancing organizational resilience in the era of rapid technological disruption.
Asset Management Using a Web-Based Accounting Online System To Maintain Value of Company Assets Supriati, Ruli; Aryani, Diah; Maesaroh, Siti
APTISI Transactions on Management (ATM) Vol 1 No 1 (2017): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.7 KB) | DOI: 10.33050/atm.v1i1.683

Abstract

Assets are entities that are tangible or intangible and have economic value. In a company, assets are important, because assets are assets that must be managed properly to provide good benefits also to the company. Companies must be able to keep the value of each company's assets to always be at a high level, avoiding damage so that the value of the asset does not fall in the selling price. With asset management, companies are increasingly eager in planning outgoing expenses to maintain the value of existing assets, monitoring assets that are bought, sold, or otherwise depreciated. Asset management based on this online accounting system, companies get asset data reports, accumulated depreciation of each asset until the asset value is updated or real-time. Any assets that have been added in the system can be archived, edited or deleted. Import feature on this system also facilitate the company in doing penginputan asset data in large quantity. Thus, with the asset management system directly synchronized with the company's financial data, will provide work efficiency in monitoring each company's assets. Keywords​: Asset Management, Real-time, Entities, and Asset Values
Implementation Framework for Merdeka Belajar Kampus Merdeka (MBKM) in Higher Education Academic Activities Supriati, Ruli; Royani Dewi, Elisa; Triyono; Supriyanti, Dedeh; Azizah, Nur
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.555

Abstract

Merdeka Belajar Kampus Merdeka (MBKM) is the policy of the Minister of Education, Culture and Independent Culture aims to encourage students to study various sciences that will help them enter the world of work. The implementation of the MBKM program in extracurricular Education courses must have added value for teachers, students, and education staff. Based on the field survey, this survey leads to a discussion on the level of academic participation in the implementation of MBKM. The purpose of this study is to explain the preparation for implementing the MBKM program and the obstacles. Methods This survey was conducted through a descriptive survey using a survey methodology. The subjects in this study were lecturers, students, and education staff in the PLS research program. Research results from the academic community understand MBKM in the research program environment, the MBKM curriculum document is edited, the research program has courses related to the MBKM program, and entrepreneurial activities support MBKM. The obstacles are limited funds, the academic information system is not optimal, lack of talent, lack of information about the MBKM program.
Analysis of the potential context of Blockchain on the usability of Gamification with Game-Based Learning Tarisya Ramadhan; Qurotul Aini; Sugeng Santoso; Achmad Badrianto; Ruli Supriati
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1999.111 KB) | DOI: 10.34306/ijcitsm.v1i1.24

Abstract

Within the world of gaming, there has been a move from diversions being utilized exclusively for excitement, to recreations being utilized as a medium to teach. For this matter, there are two strategies of making amusement which are gamification or game-based learning. The previous is the utilization of diversion components, such as wellbeing focuses or pioneer sheets, and they are connected to a non-gaming stage. The last mentioned, game-based learning, incorporates creating a full-fledged amusement where the means towards the conclusion, that's to say triumph, are set in a world where the player needs to apply the lessons given to progress. Since typically an IT-related investigation, the subject chosen for this study is Blockchain, an ever-expanding division over the past decade. Diverse parts of Blockchain's makeup have been dismembered into little, comprehensible pieces of data within the applications made, which innovative understudy to the frame can take in at their claimed pace. Should this study transcend this research, it might be beneficial for the experiments to possess two games designed and created by someone who has the artistic and technical capabilities of making their own assets. This is able to leave a far better impression with the test subjects and ideally receive a far better data set for examination.
Analysis of the potential context of Blockchain on the usability of Gamification with Game-Based Learning Tarisya Ramadhan; Qurotul Aini; Sugeng Santoso; Achmad Badrianto; Ruli Supriati
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v1i1.24

Abstract

Within the world of gaming, there has been a move from diversions being utilized exclusively for excitement, to recreations being utilized as a medium to teach. For this matter, there are two strategies of making amusement which are gamification or game-based learning. The previous is the utilization of diversion components, such as wellbeing focuses or pioneer sheets, and they are connected to a non-gaming stage. The last mentioned, game-based learning, incorporates creating a full-fledged amusement where the means towards the conclusion, that's to say triumph, are set in a world where the player needs to apply the lessons given to progress. Since typically an IT-related investigation, the subject chosen for this study is Blockchain, an ever-expanding division over the past decade. Diverse parts of Blockchain's makeup have been dismembered into little, comprehensible pieces of data within the applications made, which innovative understudy to the frame can take in at their claimed pace. Should this study transcend this research, it might be beneficial for the experiments to possess two games designed and created by someone who has the artistic and technical capabilities of making their own assets. This is able to leave a far better impression with the test subjects and ideally receive a far better data set for examination.
Web-Based E-Learning Application to Support the Teaching and Learning Process at Genta Syaputra Senior High School Euis Nurninawati; Ruli Supriati; Alpi Maulana
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 3 No. 1 (2023): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v3i1.96

Abstract

Along with the rapid development of technology today, we need a tool or method that can take advantage of existing technology in order to support the teaching and learning process at an educational institution, making it easier for students to understand the teaching and learning process using online methods in this COVID-19 era. The purpose of this study was to find out how the use of e-learning as a learning medium and the factors that influence it in SMA Genta Syaputra Regency were studied based on the characteristics of e-learning consisting of Non-linearity, Self-managing, Feedback-interactivity, Multimedia-Learners style, Just in Time, Dynamic Updating, Easy Accessibility and Collaborative Learning. This study uses a descriptive design using observation, interviews, and literature study. System analysis method using UML,analysis database using ERD and prototype design using Mockup. The results of this study concluded that the condition of the use of e-learning as a learning medium in SMA Genta Syaputra Regency is in a fairly good condition with a percentage level of 78%.
Optimizing Digital Promotional Graphic Design Strategies Using the AIDA Model Rahardja, Untung; Aini, Qurotul; Supriati, Ruli; Al Hafiz, Mohammad Aditya
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1425

Abstract

The rapid growth of digital platforms has intensified competition in online marketing, requiring organizations to adopt more strategic, adaptive, and data-driven promotional approaches. Digital promotional graphic design plays a crucial role in capturing consumer attention and delivering persuasive messages across various platforms. However, differences in platform characteristics and user behavior may influence the effectiveness of these visual strategies, highlighting the need for a more structured design approach. This study aims to optimize digital promotional graphic design strategies by integrating the AIDA model (Attention, Interest, Desire, and Action) into visual communication practices to improve audience engagement and promotional effectiveness. This research employs a qualitative descriptive approach, combining literature review and visual content analysis. Digital promotional designs from various online platforms were systematically analyzed using AIDA indicators, supported by engagement metrics as secondary data to strengthen the evaluation of design effectiveness. The findings indicate that integrating data-driven analytics with the AIDA model significantly enhances the effectiveness of digital promotional graphic design. Visual optimization improves attention, structured and relevant content sustains interest, emotional and value-based messaging stimulates desire, and clear, strategically placed Call To Action (CTA) elements effectively encourage user action. This study concludes that the combination of the AIDA framework and data- driven decision-making provides a comprehensive and strategic foundation for optimizing digital promotional graphic design, ultimately improving communi- cation effectiveness and promotional performance in the digital era.
AI-Driven Inorganic Waste Sorting System for Sustainable Public Facilities Po Abas Sunarya; Rifqa Nabila Muti; Ruli Supriati; Ryo Satya Pradhana; Richard Evans
ADI Bisnis Digital Interdisiplin Jurnal Vol 7 No 1 (2026): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adna8m65

Abstract

The rapid accumulation of inorganic waste in urban environments requires an effective and sustainable technological approach. Conventional sorting methods that rely entirely on human awareness are often inefficient, labor-intensive, and prone to error, leading to minimal reduction in waste volume at the source. This study aims to design an automatic waste sorting system named ”Orange Box” utilizing Artificial Intelligence and Computer Vision methods implemented on a Raspberry Pi 5 to achieve high-speed and accurate waste classification. The system employs a V2 Camera Module for visual data acquisition and the BCM2712 processor to run a MobileNetV2 model trained on a custom dataset of 50 images. The waste is classified into plastic bottle and cup. Physical separation is executed by MG995R Servo Motors supported by a 20A Power Supply Unit.Performance testing demonstrates that the system achieves a classification accuracy of 92% with an average inference time of 45 Ms per image. Electrical analysis shows stable operation with an average power consumption of 10.50 – 11.10 Watt during processing and a peak load of 17.17 Watt during actuator movement. The integration of Raspberry Pi 5 successfully overcomes latency issues found in previous studies, providing a real-time, energy-efficient, and consistent sorting solution suitable for deployment in public facilities and smart city infrastructures.
Deep Learning Enabled Security Monitoring for Intrusion Detection in Smart Campus Networks Ruli Supriati; Nuke Puji Lestari Santoso; Steven Harazaki Lase; Carlos Perez
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/a88eeq63

Abstract

The increasing complexity of smart campus networks has heightened the need for advanced cybersecurity measures to protect sensitive data and ensure seamless operations. Traditional Intrusion Detection Systems (IDS) often struggle to cope with the dynamic and heterogeneous nature of network traffic in smart campus environments, necessitating the development of more effective solutions. This study aims to propose a deep learning-based intrusion detection system for smart campus networks, utilizing a Hybrid CNN-LSTM model to enhance security monitoring. The proposed methodology integrates Convolutional Neural Networks (CNN) for feature extraction and Long Short-Term Memory (LSTM) networks for capturing temporal dependencies in network traffic. The model was trained and evaluated on a combination of publicly available datasets and simulated smart campus data, measuring performance through key metrics such as accuracy, precision, recall, and F1-score. Results show that the Hybrid CNN-LSTM model outperforms traditional machine learning models, achieving an accuracy of 97.3% and a ROC-AUC of 0.99, demonstrating superior detection of both known and unknown intrusions. The findings suggest that deep learning models, especially when tailored to smart campus contexts, offer significant advantages in real-time threat detection and adaptive learning. This research contributes to the growing body of knowledge on AI-driven network security and provides practical insights for improving cybersecurity infrastructures in higher education institutions.
A Comparative Analysis of Traditional and Decentralized Storage Systems in the Digital Age Po Abbas Sunarya; Desy Apriani; Ruli Supriati; Danang Surya Budi; John Edwards
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i1.2531

Abstract

The background of this research originates from the critical role of data storage in the advancement of modern digital technology, where centralized traditional cloud storage models have become dominant due to their accessibility and ease of data management. However, the challenges faced by these models include limited scalability, high operational costs, and vulnerabilities related to data security and privacy. In response to these limitations, the InterPlanetary File System (IPFS) has emerged as a decentralized storage solution that offers an alternative approach to data storage and distribution. The objective of this study is to compare IPFS and traditional cloud storage based on four key aspects: scalability, security, cost, and performance. The methodology involves a literature review and case studies of IPFS implementation in various practical scenarios. The findings reveal that while IPFS offers superior decentralization and resistance to data censorship, it still suffers from inefficiencies in data re- trieval and challenges in large-scale adoption. The results show that traditional cloud storage demonstrates advantages in access speed and integration capabilities but remains constrained by higher costs and the risks associated with data centralization. The conclusion emphasizes the need for continued research to enhance the efficiency of IPFS and to explore hybrid storage models that integrate the benefits of both decentralized and centralized technologies.
Co-Authors ., Safinatunnaziyah Aang Hidayat Achmad Badrianto Agung Rizky Agus Salim Saputra Akhmad Jalaludin, Akhmad Al Hafiz, Mohammad Aditya Alpi Maulana Alvitiana, Muhammad Dihar Andri Yanti Irmawan Anjar Juniarno Asha Fadilah Astri Wulan Sari Bhentar Ramadhan Budiarto, Mukti Carlos Perez Danang Surya Budi Danang, Danang Danti, Siti Ika Desrianti, Dewi Immaniar Desy Apriani Diah Aryani, Diah Dimas Nurhilman Dwi Adji Prasetyo Euis Nurninawati Euis Siti Nur Aisyah, Euis Siti Nur Euis Sitinur Aisyah Fae, Nahlie Fitria, Maulida Friandi, Sendy Zul Gista Melandy Hari Setiyani Henderi . Herdiana, Kivti Himawan Ilamsyah Ilamsyah Ilamsyah Ilamsyah Ilamsyah, Ilamsyah Indah Sulastri John Edwards John Hendri Junaidi Junaidi Kumoro, Dwi Ferdiyatmoko Cahya Laksono Trisnantoro Lubis, Muhammad Afwa Maulida Fitria Mia Permatasari Mistano . Muhammad Faisal Muhammad Fikri Firdaus Muhammad Iip Suhaepi Muhammad Rehan Anwar Mukti Budiarto Mulyati Mulyati Natalia, Elisa Ananda Nina Carolina Nirwan Salim Nuke Puji Lestari Santoso Nur Azizah Padeli Padeli Patric Bagas Agastya Adhi Putra Pawakal, Muhamad Galih Po Abas Sunarya Po Abbas Sunarya Prasetyo, Dwi Adji Purwanti Putri Rachmanda Priyadi Qurotul Aini Rahayu Rais, Nurlaila Suci Ramdani Sofhan Ratri, Sanda Ramadhan Rawat, Bhupesh Ria Panjaitan Richard Evans Ricka Anggie Fadyla Rifqa Nabila Muti Rio Wahyudin Anugrah Royani Dewi, Elisa Ryan McCarthy Ryo Satya Pradhana Santoso, Nuke Puji Lestari Saputra, Wisnu Adi Sheila Aulia Anjani Silva Ayu Lestari Siti Auliawati Adawiyah Siti Maesaroh Siti Shuhaibatul Islamiah Solahudin, Pahmi Steven Harazaki Lase Sugeng Santoso Sugeng Widada Supriyanti, Dedeh Susanto Rahardja Tarisya Ramadhan Taufik Hidayat Thamrin, Rizky Maulana Trinugi Wira Harjanti Triyono Triyono Triyono Ulis Bella Untung Rahardja Wiranti Sri Utami Yandri, Rudy Yovina Niawan Putri, Yovina Niawan Yusuf Effendy