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All Journal Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Kontinu: Jurnal Penelitian Didaktik Matematika Prosiding Seminar Biologi Sistemasi: Jurnal Sistem Informasi INTEGER: Journal of Information Technology Electro Luceat JURIKOM (Jurnal Riset Komputer) ADLIYA: Jurnal Hukum dan Kemanusiaan Building of Informatics, Technology and Science Community Engagement and Emergence Journal (CEEJ) Journal of halal product and research (JHPR) Journal of Psychological Perspective Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Cafetaria Science in Information Technology Letters Jurnal Pengabdian Kepada Masyarakat Jurnal Sosial dan Teknologi Djtechno: Jurnal Teknologi Informasi ARRUS Journal of Engineering and Technology Jurnal Sains Teknologi dan Sistem Informasi SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education MAKILA: Jurnal Penelitian Kehutanan Jurnal Kolaboratif Sains Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Sains dan Teknologi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Journal of Innovation Research and Knowledge Journal of Community Empowerment and Innovation Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) Journal on Biology and Instruction (JouBIns) Journal of Biotechnology and Natural Science Asean International Journal of Business Journal of Advanced Health Informatics Research Proceeding Seminar Nasional IPA International Journal of Management Analytics (IJMA) Journal of Global Engineering Research & Science (J-GERS) Journal of Technology Informatics and Engineering Prosiding SeNTIK STI&K Green Engineering: Journal of Engineering and Applied Science Global Science: Journal of Information Technology and Computer Science
Rosyid Ridlo Al-Hakim
Universitas Harapan Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Kontribusi Biologi dalam Ilmu Forensik Hakim, Rosyid Ridlo Al; Putri, Esa Rinjani Cantika; Rukayah, Siti; Nasution, Erie Kolya
Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) 2022: Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Biologi forensik merupakan cabang ilmu forensik yang menggunakan pendekatan biologis dari skala jasad hingga molekuler dalam mengungkap suatu kebenaran bukti hayati. Dalam penerapannya, biologi forensik melibatkan banyak bidang ilmu lain untuk memaksimalkan pengungkapan bukti kebenaran. Biologi forensik dewasa ini telah berkembang menjadi bagian penting dalam ilmu forensik dan kriminologi untuk mengungkap kasus kejahatan kriminal. Studi ini memberikan penjabaran bagaimana ilmu biologi dapat berkontribusi dalam ilmu forensik, dari segi pandangan, fundamental ilmu forensik hayati, dan peran biologi dalam mengungkap kebenaran.
Pemanfaatan Teknologi Virtual Reality Dalam Bidang Penerbangan Selama Kurun Waktu 10 Tahun Terakhir Al Hakim, Rosyid Ridlo; Islam, Ichsani Nurul; Ulfah, Halimatu; Aji, Rofingi Nurul; Riyadi, Slamet Nurul; Pangestu, Agung Nurul; Jaenul, Ariep Nurul
INTEGER: Journal of Information Technology Vol 7, No 1 (2022): Maret
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2022.v7i1.2526

Abstract

Teknologi virtual reality sejatinya telah banyak diterapkan di beberapa sektor industri seperti kedokteran, penerbangan, pendidikan, arsitek, militer, hiburan dan lain sebagainya. Virtual reality sangat membantu dalam menyimulasikan sesuatu yang sangat sulit untuk dihadirkan secara langsung dalam dunia nyata seperti dalam penerbangan. Studi ini meringkas penelitian-penelitian terdahulu yang relevan dengan penggunaan dan pemanfaatan teknologi virtual reality dalam bidang penerbangan. Metode penelitian yang dilakukan merupakan metode mini-review article, penelitian diawali dari studi literatur, identifikasi judul, screening abstrak, seleksi artikel full-text, dan ulasan mini-review. Hasil studi mini-review ini berupa pemanfaatan teknologi virtual reality dapat digunakan untuk keperluan pelatihan, simulasi, kesehatan, penilaian, dan evaluasi yang berhubungan dengan bidang penerbangan.
Adaptive Graph Based Intelligence Models for Cross Domain Knowledge Discovery in Large Scale Heterogeneous Information Systems Winny Purbaratri; Krisna Widi Nugraha; Rian Ardianto; Rosyid Ridlo Al-Hakim; Yogiek Indra Kurniawan; Ribut Julianto
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 4 (2025): December: Global Science: Journal of Information Technology and Computer Scienc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i4.193

Abstract

The rapid growth of heterogeneous information systems across multiple domains has introduced complex challenges in data analysis, particularly when dealing with diverse data types such as text, images, and sensor data. Traditional machine learning (ML) methods often struggle to capture the intricate relationships inherent in these large scale datasets, as they typically rely on linear models and feature vectors that fail to represent the full complexity of the data. This study aims to develop an adaptive graph based intelligence model that addresses these challenges by leveraging the power of graph structures to represent heterogeneous data and capture both structural dependencies and semantic connections. The proposed model integrates Graph Neural Networks (GNNs) with adaptive learning mechanisms, allowing for continuous knowledge extraction, pattern discovery, and cross domain inference. By representing diverse data sources as interconnected graphs, the model enables the transfer of knowledge across different domains, improving its ability to make accurate predictions and generate insights in dynamic environments. The results demonstrate that the graph based model outperforms traditional machine learning techniques in terms of accuracy, efficiency, and scalability, especially when applied to real world applications involving large and complex datasets. This paper also discusses the advantages of the adaptive learning mechanisms, which personalize the model’s training process and improve its robustness over time. Furthermore, the findings highlight the model’s potential for cross domain knowledge discovery, with applications in fields such as healthcare, marketing, and industrial automation. Finally, the paper offers recommendations for future research, including refining adaptive learning mechanisms and exploring new graph based techniques to enhance the representational power of the model. The study contributes to the ongoing development of intelligent systems capable of handling heterogeneous data across multiple domains and offers a foundation for future advancements in cross domain knowledge discovery.
AI driven Circular Waste to Energy Conversion System Using Smart Thermal Monitoring and Emission Optimization for Sustainable Urban Infrastructure Kiki Ahmad Baihaqi; Krisna Widi Nugraha; Rian Ardianto; Rosyid Ridlo Al-Hakim; Riza Phahlevi Marwanto; Erick Fernando
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.289

Abstract

This study explores the integration of Artificial Intelligence (AI) with thermal optimization in Waste-to-Energy (WtE) systems to enhance both energy recovery and emission control. Introduction: The growing need for sustainable urban waste management has highlighted the importance of optimizing WtE systems. AI technologies, including machine learning and deep learning, have shown potential in improving the efficiency of WtE processes, especially in reducing emissions and enhancing energy recovery. Literature Review: Previous research indicates that AI has been successfully applied to various WtE technologies such as pyrolysis, gasification, and incineration, yet the integration of AI specifically for thermal optimization remains underexplored. Most studies focus on predictive models for emission reduction rather than real time thermal optimization. Materials and Method: The study proposes the development of an AI-driven framework that integrates real time data collection from IoT sensors, predictive modeling, and real time control algorithms. The system optimizes key parameters such as combustion temperature and fuel flow to enhance energy recovery and minimize emissions. The method includes data collection from operational WtE plants, followed by model development using machine learning algorithms. Results and Discussion: Initial simulations and pilot testing showed significant improvements in energy efficiency and emission reduction. AI-driven systems outperformed conventional WtE systems by optimizing operational parameters in real time. The study identifies gaps in AI integration for thermal optimization and suggests future research directions, including the integration of AI with smart grids and carbon credit systems for more sustainable WtE operations.
Co-Authors Achmad Muchsin Aditia Hamid Agung Nurul Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Ahda Sabila Yusuf Ahmad, Sharifah Sakinah Syed Aji, Rofingi Nurul Alfry Aristo Jansen Sinlae Aming Sungkowo Aming Sungkowo Aming Sungkowo Aming Sungkowo Amir Syarifuddin Areip Jaenul Arief, Yanuar Zulardiansyah Ariefah Khairina Ariep Jaenul Aviasenna Andriand Baihaqi, Kiki Ahmad Brainvendra Widi Dionova Deny Nugroho Triwibowo Devan Junesco Vresdian Dian Nugraha Dian Sulistyaningrum Djatmiko, Wisnu Efri Sandi Eka Puspita Dewi Eko Ariyanto Eko Ariyanto Elsa Norma Sari Elsa Wulandari Erick Fernando Erie Kolya Nasution Erie Kolya Nasution Erie Kolya Nasution Esa Rinjani Cantika Putri Fariati, Wieke Tsanya Faridah Satya Lestari Farmasita Budiastuti, Rizky Glagah E. Setyowisnu Glagah Eskacakra Setyowisnu Hadi Jayusman Halimatu Ulfah Hamid, Aditia Putra Hendra Purnawan Herdiansah, Arief Hexa Apriliana Hidayah Hexa Apriliana Hidayah Hexa Hidayah Ichsani Islam Ichsani Nurul Islam Imtiyaaz, Cassytta Dhiya Islam, Ichsani Nurul Islami Annisa Isna Aulia Syahdiar Joko Triwanto Julianto, Ribut Krisna Widi Nugraha Krisna Widi Nugraha Kurniawan, Yogiek Indra Kusuma, Tegar Lilis Dwi Saputri Lisnawati, Tuti Machnun Arif Mahmmoud Hussein A. Alrahman Mahmmoud Hussein Abdel Alrahman Miftakhul Hafidz Sidiq Moh Khoridatul Huda, Moh Khoridatul Mohd Hafiez Izzwan Saad Mohd, Othman Muhammad Akbar Setiawan, Muhammad Akbar Muhammad Haikal Satria Muhammad Haikal Satria Nasution, Erie Nazirah Abd Hamid Nur Fauzi Soelaiman Nur Fauzi Soelaiman nurnaningsih, Desi Pangestu, Agung Nurul Purnawan, Hendra Purwono, Purwono Putri, Esa Putri, Esa Rinjani Cantika R Siti Rukayah Revita Desi Hertin Rian Ardianto Rian Ardianto Rini Nuraini, Rini Riyadi, Slamet Nurul Riza Phahlevi Marwanto Rizaldi Rizaldi Rizaldi Rizaldi Rizaldi Rizaldi Rofingi Aji Rofingi Nurul Aji Rohana, Assa Kesthy Rohmat Indra Borman Rony, Zahara Tussoleha Ropiudin . Rusdi, Erfan Safira Faizah Satria, Muhammad Haikal Setiawan, Antonius Darma Sinka Wilyanti Siti Rukayah Siti Rukayah Slamet Nurul Riyadi Slamet Riyadi Slamet Riyadi Slamet Riyadi Sri Riani, Sri Sriyadi Sriyadi Sriyadi Sriyadi Sungkowo, Aming Tegar Aldi Saputro Trikolas Trikolas Trikolas Trikolas Trikolas, Trikolas Ulfah, Halimatu Winny Purbaratri Yanuar Arief Yanuar Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief