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PKM: Assistance for “TAPIS”Fabric Production Businesses(UMKM) Negeri Katon Village,Pesawaran Regency, Lampung Arnes Yuli Vandika
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 1 No. 2 (2024): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i2.242

Abstract

However, business players have not utilized it to its full potential despite the fact that the regional government of the Pesawaran area has provided the raw ingredients and equipment necessary to manufacture filter cloth. As a result of their lack of innovation, the items that they manufacture do not meet the requirements of the market share. The purpose of this study is to provide an explanation and analysis of the empowerment of micro- and small-scale enterprises (MSMEs) that produce filter cloth “TAPIS” in Negeri Katon Village, where there exist factors that impede their growth, as well as the efforts that have been taken to overcome these factors. A method known as inductive analysis is utilized in this qualitative descriptive study. In order to conduct an analysis of the empowerment of micro, small, and medium-sized enterprises (MSMEs/ UMKM) in the filter cloth industry, In times of economic turmoil, micro, small, and medium-sized enterprises ((MSMEs) play a crucial part in the Indonesian economy. MSMEs were able to survive the financial crisis that occurred in 1998 as well as the pandemic that was caused by the COVID-19 virus. According to the three roles that micro, small, and medium-sized enterprises (MSMEs/ UMKM) play in the Indonesian economy, which include a means of alleviating poverty, a means of equalizing the economic level of small people, and a means of earning foreign exchange for the country, micro, small, and medium-sized enterprises (MSMEs) are a part of the independent Indonesian economy and have a great potential to improve the welfare of the people. Reducing the amount of data, presenting it, and making conclusions are all steps in the process of data analysis. According to research, the Pesawaran Regency Cooperative Industry and Trade Service has provided support to micro-screen cloth “Tapis” industry makers in Negeri Katon Village who are considered to be micro- or small-scale enterprises.
Pemberdayaan Masyarakat melalui Program Bank Sampah untuk Meningkatkan Kesehatan Lingkungan Muslimin B; Arnes Yuli Vandika; Saputra, M.Khalid Fredy
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2026): Sahabat Sosial: Jurnal Pengabdian Masyarakat (Juni)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

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Abstract

ABSTRACT Waste is an environmental problem that can impact public health. Improper waste management can lead to environmental pollution and increase the risk of various environmental-based diseases. One effort that can be made to address the waste problem is through a waste bank program that involves active community participation in waste management. This community service activity aims to increase public awareness and participation in waste management through the waste bank program as an effort to improve environmental health. Implementation methods include environmental health education, waste management training, the formation of waste bank groups, and activity evaluation. The results of the activity indicate an increase in public knowledge and participation in waste management, as well as increased public awareness of the importance of maintaining a clean environment. The waste bank program has proven effective in improving environmental health and community empowerment. Keywords: Waste Bank, Community Empowerment, Environmental Health, Waste Management ABSTRAK Permasalahan sampah merupakan salah satu masalah lingkungan yang dapat berdampak pada kesehatan masyarakat. Pengelolaan sampah yang tidak tepat dapat menyebabkan pencemaran lingkungan serta meningkatkan risiko berbagai penyakit berbasis lingkungan. Salah satu upaya yang dapat dilakukan untuk mengatasi permasalahan sampah adalah melalui program bank sampah yang melibatkan partisipasi aktif masyarakat dalam pengelolaan sampah. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesadaran dan partisipasi masyarakat dalam pengelolaan sampah melalui program bank sampah sebagai upaya meningkatkan kesehatan lingkungan. Metode pelaksanaan meliputi penyuluhan kesehatan lingkungan, pelatihan pengelolaan sampah, pembentukan kelompok bank sampah, serta evaluasi kegiatan. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan dan partisipasi masyarakat dalam pengelolaan sampah serta meningkatnya kesadaran masyarakat terhadap pentingnya menjaga kebersihan lingkungan. Program bank sampah terbukti efektif dalam meningkatkan kesehatan lingkungan dan pemberdayaan masyarakat. Kata Kunci: Bank Sampah, Pemberdayaan Masyarakat, Kesehatan Lingkungan, Pengelolaan Sampah
Application of Artificial Intelligence in Medical Diagnostics: Applications and Implications in the Healthcare Sector Arnes Yuli Vandika; Dadang Muhammad Hasyim; Devi Rahmah Sope; Legito; Novycha Auliafendri
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.674

Abstract

Artificial Intelligence (AI) has emerged as a transformative innovation in the medical diagnostic sector. This study explores the application and implications of AI in healthcare services at RSUD Dr. H. Abdul Moeloek, Bandar Lampung. Using a qualitative case study method, data were obtained through in-depth interviews and participatory observation. The results show that AI contributes significantly to improving diagnostic accuracy and speed, particularly in radiological imaging. However, limitations in technological infrastructure and system integration were found to hinder its optimal use. Furthermore, the readiness of human resources remains a critical factor. Although there is optimism among medical staff, a lack of technical training has led to gaps in understanding and utilization. Ethical and legal concerns also emerged, especially regarding responsibility in case of misdiagnosis and the protection of patient data. The absence of specific regulations and digital ethics protocols presents a major barrier to AI adoption. This research concludes that while the implementation of AI in medical diagnostics shows promising outcomes, it still faces institutional and regulatory challenges. Strengthening digital literacy among healthcare workers, developing standard operating procedures, and building a secure infrastructure are essential. Collaboration between hospitals, academic institutions, and government bodies is needed to create an inclusive and ethical AI-based healthcare ecosystem.
USE OF DRONES FOR DELIVERY OF MEDICINE AND BLOOD IN REMOTE AREAS Loso Judijanto; Syafril Barus; Arnes Yuli Vandika
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 2 (2025): ZAHRA (JOURNAL OF HEALTH AND MEDICAL RESEARCH)
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

The use of drone technology for the delivery of medicines and blood in remote areas has emerged as an innovative solution to some of the logistical challenges in healthcare. The study aims to evaluate the effectiveness, viability, and impact of the use of drones in improving access to essential medicines and blood supplies in hard-to-reach locations. Research methods carried out through the study of literature. Research results show that drones can not only significantly reduce delivery times and ensure reliability in delivering medical aid, but also offer a cost-effective solution compared to traditional transport methods. The study underscores the importance of a multidisciplinary approach in addressing barriers to delivery of health services in remote areas and exploring the future of drones as a major tool in medical follow-up response and health logistics delivery.
BLOCKCHAIN FOR PATIENT DATA SECURITY: POTENTIAL AND CHALLENGES Loso Judijanto; Arnes Yuli Vandika; Lola Yustrisia
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 2 (2025): ZAHRA (JOURNAL OF HEALTH AND MEDICAL RESEARCH)
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

The use of blockchain applications in the health sector, in patient data security, promises significant progress in the management and protection of medical information. Database decentralization, which is at the heart of blockchain technology, presents itself as an innovative solution in reducing the risk of cyber attacks and system failures simultaneously, by dividing information into scattered networks. It increases patient information resilience to data loss and identity theft. Another advantage of blockchain is greater transparency and auditability. Any transactions or changes recorded cannot be changed again, ensuring consistent data integrity. This is crucial in a healthcare environment, where errors in patient information can have serious implications for patient care and health outcomes. In addition, the blockchain system allows the use of strong encryption and layered access controls, making patient data much safer from unauthorized access. However, despite the many advantages it offers, there are challenges to overcome in order for this technology to be implemented effectively. Challenges such as system scalability, complex regulatory compliance, and difficulty integrating with existing health information technology systems are major obstacles to blockchain implementation. Concerns about scalability emphasize increased processing time and operating costs as transaction volumes grow. Regulatory compliance often requires extra care and adaptation to strict local regulations relating to personal data and privacy.
DEVELOPMENT AND EVALUATION OF BLOCKCHAIN-BASED E-LEARNING PLATFORMS TO IMPROVE DATA SECURITY Guntur Arie Wibowo; Nukman; Arnes Yuli Vandika
Indonesian Journal of Education (INJOE) Vol. 3 No. 1 (2023): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

In the industrial era 4.0 with advances in technology and information, e- Learning refers more to distance learning-based learning involving internet networks. E-learning allows flexibility and effectiveness in the learning process. Even while the internet has made it possible to rapidly and readily find knowledge, there are still some things that could be harmful, such security flaws in e-learning platforms. Blockchain is a computer database that electronically saves data in an electronic manner. Blockchain technology has a big impact on data security and industry. Blockchain technology is a mechanism that makes it possible to validate digital transactions securely and decentralized. The literature study approach was used to conduct the research. The idea of e-learning and how it developed, data security issues in e-learning, the fundamentals of blockchain technology, the use of blockchain-based e-learning platforms, and an assessment of the effect of employing blockchain on data security are all covered in this study.
APPLICATIONS OF MACHINE LEARNING IN DIAGNOSTICS AND SPECIAL EDUCATION INTERVENTIONS Alim Hardiansyah; Ardiyanto Saleh Modjo; Arnes Yuli Vandika
Indonesian Journal of Education (INJOE) Vol. 3 No. 1 (2023): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Special education is a basic right for children with special needs. In the technological era, machine learning plays an important role in supporting the education of these children by providing personalized learning, early detection of disorders, assisting communication, and training life skills. With joint efforts, we can create special educational environments that support optimal development for all children, including those with special needs. The importance of special education cannot be ignored and machine learning is emerging as a powerful ally in providing an approach tailored to the needs of each child. Machine Learning can customize curriculum, monitor progress, and provide real-time feedback. This helps create a more personalized and effective learning experience. The literature study approach was used to conduct the research. Data and information about the use of machine learning in special education diagnosis and interventions were gathered through a review of the literature. The concept of special education, issues with diagnosis and intervention in special education, the use of technology in education, the introduction and application of machine learning in the field of education, and the advantages and difficulties of implementing machine learning in special education are all covered in this research
USING NEURAL COLLABORATIVE FILTERING TO PERSONALIZE ONLINE LEARNING CONTENT Novianty Djafri; Kasmudin Mustapa; Arnes Yuli Vandika
Indonesian Journal of Education (INJOE) Vol. 3 No. 1 (2023): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Personalization of learning is a strategy used to determine the characteristics of learners so they can learn effectively. There are many approaches that can be taken to personalize learning. This system for personalizing learning content in the form of recommendations for online learning content was built using the Neural Collaborative Filtering method and utilizes a collection of implicit feedback data taken from student activity records when interacting with online learning content as reference data to produce recommendations. The design of a learning content personalization system in the form of recommendations on online learning content for students using the Neural Collaborative Filtering method has been successfully built and can run well in online learning content. The literature study approach was used to conduct the research. Data and relevant information were gathered through a review of the literature using Neural Collaborative Filtering to personalize online learning content. This research discusses traditional methods in personalizing online learning content, Neural Collaborative Filtering, relevant previous research, and the implementation of Neural Collaborative Filtering in online learning content
KECERDASAN BUATAN SEBAGAI MITRA DALAM PENILAIAN DAN EVALUASI PENDIDIKAN Alim Hardiansyah; Rosmawati Harahap; Arnes Yuli Vandika
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 2 No. 5 (2024): Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL)
Publisher : CV. ADIBA ASIHA AMIRA

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Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in various fields, including education. AI offers significant capabilities in analysing large-scale data, providing real-time feedback, and tailoring assessments to students' individual needs. The research method used literature. The results showed that the integration of AI in educational assessment requires a balanced approach that blends the analytical power of AI with human judgement. In conclusion, AI has the potential to increase the effectiveness and personalisation of educational assessment, but its implementation must be done with careful ethical considerations and focus on enhancing, not replacing, the role of educators in the evaluation process
PENGGUNAAN KECERDASAN BUATAN UNTUK PERSONALISASI PENGALAMAN BELAJAR Arnadi Arnadi; Aslan Aslan; Arnes Yuli Vandika
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 3 No. 1 (2024): Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL)
Publisher : CV. ADIBA ASIHA AMIRA

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Abstract

Using Artificial Intelligence (AI) to Personalise Learning Experiences refers to the application of AI technology and machine learning algorithms in an educational context to create individually tailored learning experiences for each learner. This approach leverages AI's ability to analyse big data about each student's learning paterns, strengths, weaknesses and preferences, then uses that information to adjust content, pace and teaching methods in real-time. The aim is to optimise the learning process by providing the most relevant and effective material for each individual. In practice, these AI-based systems can recommend appropriate learning resources, adjust task difficulty levels, provide personalised feedback, and even predict areas where a student may struggle in the future. This approach not only includes customisation of academic content, but can also take into account factors such as a student's learning style, motivation, and socio-emotional context. Thus, the use of AI to personalise learning experiences aims to create an educational environment that is more inclusive, effective, and responsive to the individual needs of each learner.
Co-Authors - Afrizal Abdul Muid Fabanyo Abdul Rahim Abdullah Achmad Choerudin Ade Kurniawan Ade Kurniawan Ade Suhara Adnan, Ahmad Zaelani Afen Prana Utama Sembiring Afrizal Afrizal Agus Mukholid Ahmad Cucus Ahmad Nur Budi Utama Ahmad Zaelani Adnan Ainun Jariyah Akhtar, Shazia Aldo, Novian Aldo, Novian Ali, Zainab Alim Hardiansyah Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Andi Naila Quin Azisah Aliasyahbana Andi Naila Quin Azisah Alisyahbana andrew shandy utama, andrew shandy Anggeraeni, Anggeraeni Anggit Wasesa Praja Anggun Nugroho Anggun Nugroho, Anggun Annisa Paramaswary Aslam Ansar Ansar Anwar, Wahyuni Aprian, Syawal Archristhea Amahoru, Archristhea Ardiana Batubara Ardiyanto Saleh Modjo Arfah, Andi Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Arifudin, Opan Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary Aslam, Bilal Aslan Aslan Aslan Aslan Astutik, Wahyuni Sri Bambang Prihantoro Nugroho Bambang Prihantoro Nugroho Bambang Prihantoro Nugroho Bambang Winardi Bambang Winardi Baso Intang Sappaile Basri, T Saiful Basri, T. Saiful Batubara, Ana Uzla Bekti Setiadi Bekti Utomo Belinda Arbitya Dewi Bilondato, Nikma Chatarina Umbul Wahyuni Chevy Herli Sumerli Dadang Muhammad Hasyim Debi Herlina Meilani Debi Herlina Meilani Devi Rahmah Sope Dewantara, Rizki Dewantara, Rizki Dewi Endah Fajariana, Dewi Endah Dian Resha Agustina Dina Ika Wahyuningsih Dora, Mechi Silvia Dora, Mechi Silvia Dunggio, Abdul Rivai Saleh Dwi Aris Nurohman Effendy, Femmy Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novitasari Eko Sudarmanto Endrianto , Endrixs Endrixs Endrianto Fadhilah, St. Annisa Nurul Fahrijal, Rival Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Fildansyah, Rully Fitriani.K, Fitriani.K Frans Sudirjo Frans Sudirjo Fujita, Miku Gilang Pranajasakti Guntur Arie Wibowo Guntur Arie Wibowo Gusma Afriani Guterres, Juvinal Ximenes Hakim, Nur Hamzah, Abd Natsir Hamzali, Said Handy Widjaya Hanifah Nurul Muthmainah Hannan Fadlurahman Hannan Fadlurahman Harsya, Rabith Madah Khulaili Hazmi, Muhammad Helta Anggia Hendri Khuan Heri Aji Setiawan Heri Aji Setiawan Hermansyah Hermansyah Hery Widijanto Hidayat, Deddy Hildawati Hildawati Hildawati, Hildawati Htwe, Thandar Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama Ikhwanto Asri Ikhwanto Asri Ilham Ilham Ilham Ilham Iqbal, Kiran Jackson Yumame Jasmin Jasmin Jasmin, Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Johannes Triestanto Joko Santoso Joko Santoso Judijanto, Loso K, Hairuddin Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan Khuan, Hendri Kirana, Sukma Ayu Candra Lan, Tran Thi Latifah Latifah Legito Lela Nurlela Lesmana, Tera Lestari Wuryanti Linm, Sofia Lola Yustrisia Lorensius Lonik Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. Ammar Muhtadi M. Anwar Aini Made Susilawati Made Susilawati Manalu, Margareta Margareta Manalu Markus Wibowo Marwah Mayasari, Nanny Mei Rani Amalia Merakati, Indah Mislan Sihite, Mislan Moeis, Dikwan Mohammad Arifin Noor Much Deiniatur Muh Arnesta Arnanda Muh Arnesta Arnanda Muh Reza Abdillah Muh Reza Abdillah Muhammad Bitrayoga Muhammad Hazmi MUHAMMAD LUTFI Muhammad Mustofa Muhammad Syafri Muhammad Syafri, Muhammad Muhammad Syarif Hartawan Muhammadong Muhammadong Muhtadi, M. Ammar Mulia, Madepan Munazar Munazar Muslimin B, Muslimin B Nam, Le Hoang Nampira, Ardi Azhar Nanny Mayasari Natasya Yunita Sugiastuti Ni Desak Made Santi Diwyarthi Ningsih, Yunia Noning Verawati Novianty Djafri Novycha Auliafendri Nukman Nukman Nukman Nunung Suryana Jamin Nur Afiani, Rulan Nur Afifah Harahap Nur Asmah Nur Hakim Nuridayanti Nuridayanti Nurisman, Husain Nurohman, Dwi Aris Nurul Aisyiyah Puspitarini Omar Ahmad Palupiningtyas, Dyah Pannyiwi, Rahmat Pasaribu, Daniel Peluw, Zulfikar Peng, Nam Pertiwi, Triani Prata Pranajasakti, Gilang Pratama, I Wayan Adi Priyana, Yana Qudratullah, Fyzria Raden Mohamad Herdian Bhakti Radiah Ilham Rahman Rahmat, Rezqiqah Aulia Rahmi Setiawati Rasmita, Dina Rezki Fitriani Rifky , Sehan Rima Ruktiari Rina Destiana Rith, Vicheka Rival Fahrijal Rizki Andita Noviar Rizki Wahyudi Rosmawati Harahap Rosmawati Harahap Rosmiati Rosmiati Rovanita Rama Rovanita Rama Rulan Nur Afiani Rully Fildansyah Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Safarudin, Muhamad Sigid Sagena, Unggul Said Hamzali Samsul Arifin Samsul Arifin Santi Diwyarthi, Ni Desak Made Saputra, M. Khalid Fredy Saputra, M.Khalid Fredy Sari, Nidia Wulan Sarungallo, Amelia S. Satria Eureka Nurseskasatmata Satya Arisena Hendrawan Sawaluddin Siregar Sayed Achmady Sehan Rifky Setiadi, Bekti Setiawan, Zunan setiawati, rahmi Setyorini, Dhiana Silvia Ekasari SILVIA EKASARI Sima, Yenny Simarangkir, Manase Sahat H Soelistianto, Farida Arinie Sok, Vann Souisa, Wendy Sri Ariyanti Sri Widiastuti Sudarmanto, Eko Sudarmo Sudarmo sudarmo sudarmo Suhara, Ade Suharni Suharni Suharni Sumerli A., Chevy Herli Supriyanti Supriyanti Susanti Susanti Syafril Barus Syafril Barus Syam Gunawan Syam Gunawan Syawal Aprian Tahir, Usman Tan, Ethan Tanaka, Kaito Tariq, Usman Tera Lesmana Thalib, Kiki Uniatri Thea Marisca Marbun B.N Tia Tanjung Tia Tanjung, Tia Titiek Rachmawati Titiek Rachmawati Toalib, Ramli Tri Budi Rahayu, Tri Budi Triyugo Winarko Triyugo Winarko, Triyugo Tu, Nguyen Minh Ummu Kalsum Unggul Sagena Upeka Mendis Usman Tahir Utama Sembiring, Afen Prana Utomo, Bekti Wahidyanti Rahayu Hastutiningtyas Wahyuni Sri Astutik Wardhani, Diky Wifasari, Septi Wijaya, Hamid Wiwin Susanty Wuryanti, Lestari Xiang, Yang Yamamoto, Sota Yana Priyana Yoga Dwi Goesty D.S Yulis, Dian Meiliani Yusuf Yusuf Zaenal Arief Zani, Benny Novico Zaw, Soe Thu Zhang Li Zohaib Hassan Sain Zulkifli Zulkifli Zulkifli Zulkifli Zunan Setiawan