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Program Gerakan Meningkatkan Literasi dan Pengetahuan (GEMILANG) Sebagai Upaya Peningkatan Minat Baca Siswa SD di Desa Gombang Kabupaten Cirebon Mustoip, Sofyan; Nurliyana; Sofi Ana Nurmaliki; Nurul Ambiya; Meliana Indriani; Aisyah Fadiatu Rizqi; Wiwi Robiah Adawiyah; Dian; Puput Putriyani; Sofyan Sauri; Rizka Herman; Burhanudin; Fatiah Rahmi; Salamah; Muhammad Azharreza Aufa; Muhammad Fahad
Inisiatif : Jurnal Dedikasi Pengabdian Masyarakat Vol 3 No 1 (2024): Inisiatif : Jurnal Dedikasi Pengabdian Masyarakat
Publisher : Pusmedia Group Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61227/inisiatif.v3i1.184

Pengabdian masyarakat ini bertujuan untuk meningkatkan literasi di Desa Gombang, Kabupaten Cirebon melalui revitalisasi perpustakaan desa dan pengaktifan minat baca dengan memanfaatkan acara Pasar Malam desa. Metode yang digunakan adalah pendekatan Asset-Based Community Development (ABCD) yang meliputi identifikasi aset lokal, pemetaan kebutuhan, pengembangan program, dan implementasi serta evaluasi. Hasil dari pengabdian ini menunjukkan peningkatan signifikan dalam minat baca masyarakat berkat penambahan koleksi buku dan fasilitas perpustakaan serta keberhasilan integrasi kegiatan literasi di Pasar Malam. Kesimpulan dari program ini adalah bahwa penggabungan kegiatan literasi dengan acara lokal dapat efektif dalam meningkatkan minat baca dan memperkuat budaya membaca di masyarakat.

Advancements in Detection and Mitigation: Fortifying Against APTs - A Comprehensive Review Aashesh Kumar; Muhammad Fahad; Haroon Arif; Hafiz Khawar Hussain
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Organizations' cyber security posture is severely challenged by Advanced Persistent Threats (APTs), necessitating a multifaceted defense strategy. Traditional methods, machine learning, artificial intelligence (AI), behavioral analytics, real-time monitoring, incident response, collaborative defense mechanisms, endpoint security enhancements, network segmentation and access control, encryption, data protection, and user training and awareness are just a few of the strategies and advancements in APT detection and mitigation that are examined in this review article. Every tactic is thoroughly reviewed, emphasizing its value in thwarting APT attacks and offering best practices for execution. By utilizing these cutting-edge methods and encouraging cooperation amongst enterprises, it is feasible to improve defenses against APTs and lessen the likelihood that they will affect vital assets and data.

Using AI in Healthcare: Improving Fraud Detection and Combining Petroleum and Herbal Medicine Insights Muhammad Ibrar; Muhammad Fahad; Muhammad Umer Qayyum; Ali Husnain
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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

Artificial Intelligence (AI) is revolutionizing multiple sectors by enhancing efficiency, optimizing processes, and driving innovation. This article explores the transformative impact of AI across four diverse fields: healthcare, herbal medicine, the petroleum sector, and their interdisciplinary synergies. In healthcare, AI's applications include advanced diagnostics, personalized treatment, and improved fraud detection. Insights from the petroleum industry, where AI is used for predictive maintenance, exploration optimization, and safety management, offer valuable strategies for enhancing healthcare operations and fraud detection. Additionally, the integration of AI with herbal medicine promises to validate traditional remedies and personalize patient care by combining modern technology with ancient practices. The article highlights how cross-industry insights can lead to novel solutions and enhanced outcomes across different domains. By examining these interdisciplinary connections, the article underscores the potential of AI to bridge gaps, drive innovation, and create a more integrated approach to solving complex challenges, ultimately benefiting society and advancing the frontiers of technology and knowledge.

Integrating AI in Healthcare: Advancements in Petroleum Fraud Detection and Innovations in Herbal Medicine for Enhanced Cancer Treatment Approaches Ali Husnain; Muhammad Umer Qayyum; Muhammad Fahad; Muhammad Ibrar
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4810

Artificial intelligence (AI) is transforming a number of industries, such as healthcare, detecting petroleum fraud, and herbal medicine. AI solves difficult problems and opens up new avenues for growth. This paper examines how AI has revolutionized several sectors and identifies opportunities and synergies for the future. AI is improving administrative efficiency, tailored treatment, and diagnostics in the healthcare industry. Natural language processing and sophisticated machine learning models are enhancing the precision of diagnoses, customizing care, and streamlining hospital operations. To guarantee responsible integration, however, ethical issues and data protection issues need to be taken into account. Artificial intelligence is proving to be a vital tool in the fight against petroleum fraud, particularly in the areas of financial misreporting and fuel adulteration. Real-time monitoring systems and machine learning algorithms improve fraud detection, safeguard financial assets, and guarantee regulatory compliance. AI is helping to close the knowledge gap between current science and traditional herbal treatment. Artificial Intelligence enhances the efficacy, safety, and standardization of herbal remedies by evaluating plant components and forecasting their therapeutic effects. The significance of herbal treatments in conventional healthcare is strengthened by this integration, which also holds potential for novel treatment advancements. Prospects for the future include maintaining funding for AI research, tackling moral and legal issues, encouraging interdisciplinary cooperation, and raising public awareness. AI may be fully utilized by implementing these tactics, which will advance and enhance results in the fields of herbal medicine, fraud detection, and healthcare. All things considered, artificial intelligence (AI) is a disruptive force that can alter methods, improve efficiencies, and open up new avenues for research. These fields' futures will be shaped by its sustained development and prudent application, which will also help improve technology and healthcare more broadly.

Integrating AI in Healthcare: Innovations in Petroleum-Based Fraud Detection and Its Implications for Medical Diagnostics Muhammad Fahad; Muhammad Ibrar; Muhammad Umer Qayyum; Ali Husnain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4655

Artificial intelligence (AI) is transforming a number of industries through increasing operational effectiveness, detecting fraudulent activity, and boosting diagnostic accuracy. In order to demonstrate the transformational potential of AI techniques across different areas, this review paper examines the convergence of petroleum-based fraud detection and AI applications in healthcare. The study looks at how artificial intelligence is currently being used in healthcare, particularly in tailored and medical diagnostics. After that, it explores how artificial intelligence (AI) is utilized in petroleum-based fraud detection, going over methods like data mining, anomaly detection, and machine learning algorithms that are used to find and stop fraud. The review emphasizes the possible advantages and synergies as it looks further into how fraud detection findings from the petroleum business might be applied to healthcare. Notwithstanding these advantages, the paper discusses the main obstacles and restrictions related to integrating AI, such as system integration, data security and privacy, accuracy and dependability, and ethical and legal issues. The study intends to provide significant insights into the efficient deployment of AI technologies and the potential for cross-industry applications to stimulate innovation and enhance results by giving a thorough review of these subjects.

Integrating AI in Healthcare: Advancements in Petroleum Fraud Detection and Innovations in Herbal Medicine for Enhanced Cancer Treatment Approaches Ali Husnain; Muhammad Umer Qayyum; Muhammad Fahad; Muhammad Ibrar
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4810

Artificial intelligence (AI) is transforming a number of industries, such as healthcare, detecting petroleum fraud, and herbal medicine. AI solves difficult problems and opens up new avenues for growth. This paper examines how AI has revolutionized several sectors and identifies opportunities and synergies for the future. AI is improving administrative efficiency, tailored treatment, and diagnostics in the healthcare industry. Natural language processing and sophisticated machine learning models are enhancing the precision of diagnoses, customizing care, and streamlining hospital operations. To guarantee responsible integration, however, ethical issues and data protection issues need to be taken into account. Artificial intelligence is proving to be a vital tool in the fight against petroleum fraud, particularly in the areas of financial misreporting and fuel adulteration. Real-time monitoring systems and machine learning algorithms improve fraud detection, safeguard financial assets, and guarantee regulatory compliance. AI is helping to close the knowledge gap between current science and traditional herbal treatment. Artificial Intelligence enhances the efficacy, safety, and standardization of herbal remedies by evaluating plant components and forecasting their therapeutic effects. The significance of herbal treatments in conventional healthcare is strengthened by this integration, which also holds potential for novel treatment advancements. Prospects for the future include maintaining funding for AI research, tackling moral and legal issues, encouraging interdisciplinary cooperation, and raising public awareness. AI may be fully utilized by implementing these tactics, which will advance and enhance results in the fields of herbal medicine, fraud detection, and healthcare. All things considered, artificial intelligence (AI) is a disruptive force that can alter methods, improve efficiencies, and open up new avenues for research. These fields' futures will be shaped by its sustained development and prudent application, which will also help improve technology and healthcare more broadly.

Future Horizons: AI-Enhanced Threat Detection in Cloud Environments: Unveiling Opportunities for Research Haroon Arif; Aashesh Kumar; Muhammad Fahad; Hafiz Khawar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 1 (2024): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i2.3452

In this extensive and comprehensive review paper, we delve into the dynamic landscape of artificial intelligence (AI)-enhanced threat detection within cloud environments. The evolution of this field, from traditional methodologies to the seamless integration of AI, is meticulously explored, providing a nuanced understanding of the transformative potential of AI in bolstering cyber security measures. The exploration encompasses a myriad of crucial aspects, offering readers a holistic view of the subject. The revolutionary impact of AI is scrutinized, emphasizing its role in reshaping the conventional paradigms of threat detection and response. The paper meticulously addresses current challenges in cloud security, providing insights into the multifaceted nature of contemporary threats and how AI serves as a robust defense mechanism. As we navigate through the intricacies of this field, the review paper sheds light on ongoing research prospects, presenting a roadmap for future endeavors. Real-world case studies are examined to illustrate the practical applications of AI-enhanced threat detection, offering valuable lessons and perspectives for decision-makers, researchers, and practitioners in the realm of cyber security. Ethical considerations are given due attention, as the integration of AI in threat detection raises important questions surrounding privacy, bias, and accountability. By analyzing current trajectories and emerging technologies, the article provides readers with a forward-looking perspective, helping them anticipate the evolving landscape of cyber security. In addition to exploring the technological facets, the paper emphasizes the importance of a collaborative approach and ongoing adaptation. The interconnected nature of threats in the digital realm necessitates a collective effort from industry experts, researchers, and policymakers. The review paper advocates for a holistic strategy that integrates AI technologies with human expertise to create a resilient defense against the ever-evolving landscape of cyber threats.

AI in Healthcare: Revolutionizing Diagnosis and Therapy Shah Zeb; Nizamullah FNU; Nasrullah Abbasi; Muhammad Fahad
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 3 (2024): International Journal of Multidisciplinary Sciences and Arts, Article July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i3.4546

Artificial Intelligence (AI) is revolutionizing healthcare through its integration into various domains, significantly enhancing the efficiency, accuracy, and effectiveness of medical practices. This review explores the transformative impact of AI across multiple aspects of healthcare, including diagnostics, personalized treatment, drug discovery, surgery, and more. AI's capabilities in diagnostics and early detection are improving the precision and speed of disease identification, enabling earlier and more effective interventions. Personalized treatment approaches leverage AI to analyze patient data and tailor therapies to individual needs, optimizing outcomes and reducing adverse effects. AI-driven robotics in surgery offer enhanced precision, control, and minimally invasive options, leading to improved surgical outcomes and faster recovery times. Despite these advancements, the adoption of AI in healthcare presents challenges and ethical considerations, including data quality, algorithmic bias, patient privacy, and the responsible use of AI technologies. Addressing these issues is crucial for maintaining trust and ensuring equitable access to AI-powered healthcare solutions. AI's role in drug discovery and development is accelerating the creation of new therapies by optimizing predictive modeling, drug design, and clinical trials, thus reducing costs and speeding up the development process. Future trends and innovations in AI highlight ongoing advancements and the potential for further transformation in healthcare. These include advancements in natural language processing, AI-enhanced telemedicine, wearable health technologies, and ethical AI governance. As AI technology continues to evolve, its impact on healthcare will become increasingly significant, driving progress in patient care, operational efficiency, and medical research. Collaborative efforts among technologists, clinicians, researchers, and policymakers will be essential in harnessing AI's full potential while addressing the complexities and ethical challenges associated with its use. This review underscores the promise of AI to revolutionize healthcare and improve patient outcomes while emphasizing the need for responsible implementation and ongoing evaluation.

Navigating the Uncharted Waters: Exploring Challenges and Opportunities in Block chain-Enabled Cloud Computing for Future Research Aashesh Kumar; Muhammad Fahad; Haroon Arif; Hafiz Khawar Hussain
BULLET : Jurnal Multidisiplin Ilmu Vol. 2 No. 6 (2023): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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This article offers a thorough examination of the prospects, challenges, and future directions of block chain-enabled cloud computing, navigating a field that is still relatively new. The study explores the intricacies of the integration, from laying forth fundamental ideas to analyzing the present situation. Case studies shed light on effective implementations in the fields of finance, healthcare, supply chains, and other areas, offering insightful guidance for future initiatives. Examined are the transformative potential, security consequences, and regulatory considerations, highlighting the importance of sound frameworks and responsible development. Important factors including cooperation, sustainability, privacy, user education, regulatory clarity, and ongoing research are outlined in the roadmap for the future. In summary, the paper predicts a revolutionary digital future where block chain technology and cloud computing combine to foster creativity, cooperation, and resilience.

RANCANGAN PERATURAN DAERAH HUNIAN LAYAK SEBAGAI PAYUNG HUKUM BAGI WARGA KOTA SURABAYA Syifani Anastasya Aura Dzulkarnian; Muhammad Fahad
Jurnal Media Akademik (JMA) Vol. 3 No. 11 (2025): JURNAL MEDIA AKADEMIK Edisi November
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/mqkwt006

Raperda Hunian Layak Kota Surabaya menjadi regulasi strategis yang tengah dibahas oleh Panitia Khusus (Pansus) DPRD Kota Surabaya dalam rangka mewujudkan hunian yang aman, nyaman, dan berkeadilan bagi seluruh warga. Kota Surabaya sebagai kota metropolitan menghadapi tantangan kompleks terkait pertumbuhan penduduk, urbanisasi tinggi, kawasan permukiman kumuh, dan permasalahan sosial seperti prostitusi, pergaulan bebas, serta keberadaan warga yang tinggal di kos atau kontrakan tanpa identitas resmi. Raperda ini menghadirkan payung hukum untuk melindungi hak penghuni rumah kos dan kontrakan, termasuk kewajiban pemilik rumah memberikan surat keterangan tidak keberatan bagi penggunaan alamat sebagai domisili administratif. Selain itu, regulasi ini mendorong program hunian bersubsidi bagi masyarakat menengah ke bawah, menjamin kesejahteraan, kenyamanan, dan keamanan warga secara menyeluruh. Melalui pengaturan prinsip-prinsip umum dalam Raperda dan detail teknis melalui Peraturan Wali Kota, diharapkan tercipta keseimbangan hak dan kewajiban antara pemilik hunian dan penghuni, memperkuat data kependudukan, serta mendukung perencanaan pembangunan kota yang lebih tertib dan humanis.

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