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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 Jurnal Ilmiah Research and Development Student 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 International Journal of Mechanical, Industrial and Control Systems Engineering Prosiding SeNTIK STI&K Green Engineering: Journal of Engineering and Applied Science Global Science: Journal of Information Technology and Computer Science Sapientia Diversalis: Journal of Human Interaction and Social Studies Technema: Journal of Intelligent Engineering and Computing
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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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.
Psychological stressor caused alpha-male non-human-primate Macaca fascicularis to become agonistic when struggling over food Rosyid Ridlo Al Hakim; Erie Kolya Nasution
Journal of Psychological Perspective Vol. 3 No. 1 (2021)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jopp.311152021

Abstract

Primates are the object of increased research recently. Experiments on non-human-primates (NHP) can determine their psychological level. NHP Macaca fascicularis is a primate that lives socially with a social hierarchy. Alpha-male becomes the leader of the group. Beneficial access is higher in alpha-male, against the conflicts to be initiated for certain interests. This study provides an overview of alpha-male aggressiveness in groups based on psychological stressors obtained during field observations. The research was conducted at Mbah Agung Karangbanar Religious Tourism Park, Central Java, Indonesia, group-size of 12 adult male, 14 adult female, 8 sub-adult male, 9 sub-adult female, 10 juvenile male, 14 juvenile female, and 6 infants. Aggressive observation (sampling-rules) is behavioral-animal sampling on alpha-male individuals and one individual for each age group as the subject of observation. Observations were carried out for 8 days with one-zero sampling. Adult male and alpha-male aggressive behavior ranked the highest during observation, that psychological stressors obtained.
Digital Social Interaction and Identity Construction among Generation Z in Urban Indonesia Sahal Hanafi; Fadli Agus Triansyah; Rosyid Ridlo Al-Hakim; Rafidha Nur Alifah; Abdul Kholik
Journal of Human Interaction and Social Studies Vol. 1 No. 1 (2026): :February: Sapientia Diversalis: Journal of Human Interaction and Social Studie
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/epkdtb57

Abstract

This study investigates how digital social interaction shapes identity construction among Generation Z in urban Indonesia through an empirical qualitative multi-site design integrating interviews, digital ethnography, and reflective media diaries. Findings show that linguistic stylization and multimodal self-presentation operate as core infrastructures of symbolic identity work, while relational feedback loops within peer networks stabilize belonging through validation, humor, and contextual negotiation. Moral and aspirational framings further anchor digital expression in ethical reasoning, cultural continuity, and future-oriented self-projection linked to urban opportunity structures. Cross-case analysis demonstrates that identity emerges as a relational, reflexive, and platform-mediated process in which language, symbolism, and social recognition co-produce durable self-narratives. The study contributes a multi-level framework connecting discursive micro-practices with moral and aspirational logics, advancing theoretical understanding of youth digital identity and offering methodological templates for analyzing mediated subjectivity in rapidly transforming urban societies, highlighting how everyday interaction accumulates into socially regulated identity trajectories that integrate creativity, community, and ethical self-formation within contemporary platform ecologies, providing empirically grounded insight for interdisciplinary scholarship on digital youth.
Human-Centered Artificial Intelligence in Intelligent Engineering Systems Rosyid Ridlo Al-Hakim; Hasnan Nasrun; Fendy Prasetyawan
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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

Abstract

The increasing integration of artificial intelligence into intelligent engineering systems has created a critical need for approaches that balance computational capability with human autonomy, transparency, accountability, and sustainable operational performance. This study aims to develop an integrative Human-Centered Artificial Intelligence (HCAI) framework capable of supporting trustworthy human–AI collaboration in complex engineering environments. The research employs a non-empirical system-design methodology grounded in design science, systems engineering, socio-technical systems theory, and human-centered AI principles. The proposed framework consists of four interdependent layers comprising human, intelligence, interaction, and governance components that collectively facilitate collaborative decision-making and responsible system operation. Analytical evaluation was conducted through architecture-conformance analysis, requirements-traceability assessment, and scenario-based simulations involving intelligent manufacturing, predictive maintenance, and AI-assisted engineering decision environments. The findings indicate that the framework strengthens human autonomy preservation, explainability capability, collaborative decision efficiency, and governance robustness while maintaining alignment with Industry 5.0 objectives. The study contributes a theoretically integrated architectural model and a reproducible methodological approach for designing intelligent engineering systems that enhance human capabilities, promote trustworthy AI adoption, and support sustainable socio-technical innovation.
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.
Energy Aware Reinforcement Learning Approach for Dynamic Production Scheduling Optimization in Sustainable Smart Manufacturing Environments Yogiek Indra Kurniawan; Krisna Widi Nugraha; Rosyid Ridlo Al-Hakim; Erick Fernando; Rian Ardianto; Genrawan Hoendarto; Mursalim Mursalim
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 4 (2025): December :IJMICSE: International Journal of Mechanical, Industrial and Control
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i4.408

Abstract

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.
PENERAPAN METODE CERTAINTY FACTOR DENGAN TINGKAT KEPERCAYAAN PADA SISTEM PAKAR DALAM MENDIAGNOSIS PARASIT PADA IKAN Rosyid Ridlo Al Hakim; Agung Pangestu; Areip Jaenul
Djtechno: Jurnal Teknologi Informasi Vol 2, No 1 (2021): Juli
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v2i1.1254

Abstract

Ikan merupakan komoditas akuatik yang mengandung protein-protein esensial. Pelaku budidaya akuakultur ikan khususnya, tidak selalu lancar dalam usaha budidayanya, karena pasti suatu saat ikan akan mengalami gangguan penyakit, baik infeksius maupun non-infeksius. Penyakit pada ikan dapat disebabkan oleh bakteri, virus, jamur, dan parasit. Metode penelitian dimulai dari studi literatur penelitian-penelitian sebelumnya yang relevan. Analisis data mengalkulasi certainty factor (CF), kemudian didesain SDLC dengan tipe waterfall, desain activity diagram dan use case diagram. Hasil penerapan metode certainty factor (CF) untuk sistem pakar dalam diagnosis penyakit-penyakit ikan yang disebabkan oleh parasit dapat diterapkan untuk 12 penyakit dengan tingkat kepercayaan di atas 95%.
The Sequential Dynamics of Indonesia's Decentralization Reform: Explaining Intergovernmental Power Redistribution through Faletti's Sequential Theory Anindita Irvan Wiryawan; Rosyid Ridlo Al-Hakim; Endro Sariono; Rifki Arif; Ady Setyo Nugroho
JURNAL ILMIAH RESEARCH AND DEVELOPMENT STUDENT Vol. 4 No. 2 (2026): Jurnal Ilmiah Research and Development
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jis.v4i2.2060

Abstract

Indonesia has implemented one of the world's most ambitious decentralization reforms since the 1998 Reformasi, transferring extensive administrative responsibilities, fiscal resources, and political authority to regional governments. Despite these institutional changes, the redistribution of intergovernmental power remains contested. Existing studies primarily examine administrative, fiscal, and political decentralization as separate institutional dimensions, offering limited explanation of how their sequencing shapes long-term central–local power relations. This study analyzes Indonesia's decentralization reform through Faletti's Sequential Theory of Decentralization using a normative legal research design supported by historical institutional analysis. Primary legal materials, including constitutional provisions and decentralization legislation enacted between 1999 and 2022, were examined alongside relevant scholarly literature. The findings indicate that Indonesia's decentralization followed an Administrative–Fiscal–Political (A→F→P) sequence in which administrative responsibilities were transferred before fiscal strengthening and political consolidation at the regional level. This sequence expanded regional governmental functions while preserving the central government's strategic control over institutional development and policy coordination. The study demonstrates that reform sequencing provides a more comprehensive explanation of Indonesia's decentralization trajectory than analyses focusing solely on legal or fiscal reforms. It also extends the application of Faletti's framework to a unitary state outside Latin America, contributing a process-oriented perspective for understanding intergovernmental power redistribution in decentralized governance.
Desain Sistem Informasi Geografis (GIS) untuk Pengelolan Infrastruktur Telekomunikasi di Daerah Terpencil: Geographic Information System (GIS) Design for Telecommunication Infrastructure Management in Remote Areas Moh. Khoridatul Huda; Rian Ardianto; Hadi Jayusman; Rosyid Ridlo Al-Hakim
Jurnal Kolaboratif Sains Vol. 7 No. 7: July 2024 - Jurnal Kolaboratif Sains (JKS)
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v7i7.5903

Abstract

Penelitian ini bertujuan untuk merancang Sistem Informasi Geografis (GIS) guna mendukung pengelolaan infrastruktur telekomunikasi di Desa Kutorojo, Kecamatan Kajen, Kabupaten Pekalongan. Menggunakan pendekatan kualitatif dengan metode survei, penelitian ini melibatkan wawancara mendalam dan observasi lapangan untuk mengumpulkan data terkait kondisi infrastruktur dan kebutuhan masyarakat. Hasil penelitian menunjukkan bahwa penerapan GIS meningkatkan akses dan kualitas layanan telekomunikasi, dengan 75% rumah tangga kini memiliki akses telekomunikasi yang lebih baik. Mayoritas pengguna melaporkan kepuasan tinggi terhadap kualitas layanan, berkat peningkatan kecepatan dan stabilitas jaringan. Partisipasi masyarakat dalam pengelolaan infrastruktur juga meningkat, mencapai 60%, yang berdampak positif pada pemeliharaan jangka panjang. Efisiensi pengelolaan infrastruktur ditingkatkan dengan pengurangan waktu perawatan sebesar 30% dan biaya sebesar 25%. Penelitian ini menyimpulkan bahwa GIS adalah solusi efektif dalam pengelolaan infrastruktur telekomunikasi di daerah terpencil, memberikan dampak ekonomi dan sosial yang positif. Penerapan GIS tidak hanya meningkatkan kualitas hidup masyarakat, tetapi juga menawarkan model pengelolaan infrastruktur yang dapat diterapkan di wilayah lain dengan tantangan serupa.
Co-Authors Abdul Kholik Achmad Muchsin Aditia Hamid Ady Setyo Nugroho 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 Anindita Irvan Wiryawan 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 Endro Sariono Erick Fernando Erick Fernando Erie Kolya Nasution Erie Kolya Nasution Erie Kolya Nasution Esa Rinjani Cantika Putri Fadli Agus Triansyah Fariati, Wieke Tsanya Faridah Satya Lestari Farmasita Budiastuti, Rizky Fendy Prasetyawan Genrawan Hoendarto Glagah E. Setyowisnu Glagah Eskacakra Setyowisnu Hadi Jayusman Halimatu Ulfah Hamid, Aditia Putra Hasnan Nasrun 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 Mohd Hafiez Izzwan Saad Mohd, Othman Muhammad Akbar Setiawan Muhammad Haikal Satria Muhammad Haikal Satria Mursalim Mursalim 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 Rafidha Nur Alifah Revita Desi Hertin Rian Ardianto Rian Ardianto Rifki Arif Rini Nuraini, Rini Riyadi, Slamet Nurul Riza Phahlevi Marwanto Rizaldi Rizaldi Rofingi Aji Rofingi Nurul Aji Rohana, Assa Kesthy Rohmat Indra Borman Rony, Zahara Tussoleha Ropiudin . Rusdi, Erfan Safira Faizah Sahal Hanafi Satria, Muhammad Haikal Setiawan, Antonius Darma Sinka Wilyanti Siti Rukayah Siti Rukayah Slamet Nurul Riyadi Slamet Riyadi Slamet Riyadi Slamet Riyadi Sri Riani 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