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Implementation of Internet of Things (IoT) in Information System Loso Judijanto; Arnes Yuli Vandika; Yana Priyana
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1212

Abstract

This study employs bibliometric analysis to map the network of research collaborations within a specific academic field, identifying key contributors and the structure of their interconnections. By analyzing data from prominent academic databases, the study visualizes clusters of authors and assesses their influence based on publication and citation metrics. The findings offer strategic insights into the core research communities, highlighting central authors and potential areas for collaboration. Practical implications are discussed for academic institutions, research networks, and funding strategies, emphasizing how these entities can utilize the analysis to enhance research output and innovation. Limitations of the study include potential database biases and a focus on quantitative measures, which may not fully capture the dynamic and qualitative aspects of individual contributions. Despite these challenges, the bibliometric analysis provides valuable guidance for strategic decision-making in research and academic communities.
Application of Artificial Intelligence to Improve Production Process Efficiency in Manufacturing Industry Lucky Mahesa Yahya; Suharni Suharni; Deddy Hidayat; Arnes Yuli Vandika
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1221

Abstract

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted the manufacturing industry, offering transformative potential to enhance production process efficiency. This paper presents a systematic literature review of AI applications in the manufacturing sector, focusing on key AI technologies such as machine learning, robotics, predictive analytics, and natural language processing. The review highlights how these technologies have improved quality control, resource management, and overall operational performance. However, the adoption of AI also presents challenges, including significant investment costs, the need for a skilled workforce, and concerns over data security and privacy. Despite these challenges, the integration of AI in manufacturing presents numerous opportunities for future research and innovation, particularly in the areas of sustainable manufacturing and the convergence of AI with other emerging technologies. This study concludes that while AI offers substantial benefits for production efficiency, its successful implementation requires careful strategic planning and investment in both technology and human resources.
Digital Transformation and its Impact on Enterprise Systems in the Manufacturing Sector Loso Judijanto; Arnes Yuli Vandika; Zulkifli Zulkifli; Syawal Aprian
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1522

Abstract

Digital transformation has revolutionized the manufacturing sector by enhancing the capabilities of enterprise systems. This study investigates the impact of digital transformation initiatives on operational efficiency, system flexibility, and decision-making capabilities within manufacturing enterprises. A quantitative approach was employed, involving 60 manufacturing enterprises and using a structured questionnaire based on a Likert scale (1-5). The data were analyzed with SPSS version 25, revealing significant positive relationships between digital transformation and the performance of enterprise systems. Regression analysis showed that digital transformation initiatives explained 42% of the variance in operational efficiency, 34% in system flexibility, and 38% in decision-making capabilities. The findings provide valuable insights into the transformative potential of digital technologies and highlight practical strategies for overcoming implementation challenges. This study contributes to the understanding of digital transformation's role in optimizing enterprise systems within the manufacturing sector.
Use of Artificial Intelligence in Operational Efficiency and Business Management Strategic Loso Judijanto; Ahmad Zaelani Adnan; Gilang Pranajasakti; Arnes Yuli Vandika; Wahyuni Sri Astutik
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1533

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology, reshaping operational efficiencies and strategic business management across industries. This study employs a bibliometric analysis using VOSviewer to explore the intellectual structure, global collaboration, and thematic trends in AI research from 2000 to 2024. The findings reveal AI’s pivotal role in enhancing operational processes, particularly in cost reduction, efficiency improvement, and data-driven decision-making. Furthermore, AI’s integration into diverse fields such as healthcare, energy management, and cybersecurity underscores its multidisciplinary impact. The visualizations highlight the strong global collaboration among nations, with China, India, and the United States as major contributors to AI research. Despite these advancements, challenges such as ethical concerns, data privacy, and workforce displacement persist. This study emphasizes the need for ethical frameworks, workforce reskilling, and robust international cooperation to maximize AI's benefits while mitigating its challenges. By mapping current trends and identifying future directions, this research contributes to a deeper understanding of AI’s transformative potential in operational and strategic domains.
Mapping the Cybersecurity Research through Bibliometric Analysis Loso Judijanto; Endrixs Endrianto; Arnes Yuli Vandika
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1534

Abstract

This bibliometric analysis explores the evolution and global landscape of cybersecurity research from 2010 to 2024. Utilizing data sourced exclusively from Scopus and analyzed through VOSviewer, this study identifies significant trends, key themes, and the dynamics of international collaboration within the field. The findings reveal a notable increase in the volume of publications over the years, highlighting a shift from basic security measures towards the integration of advanced technologies such as artificial intelligence, the Internet of Things (IoT), and blockchain. The study also maps the dense network of international collaborations, with the United States, China, India, Germany, and the United Kingdom emerging as central nodes. This analysis not only reflects the increasing complexity of cyber threats but also the global effort to develop proactive and dynamic defense mechanisms. The results emphasize the need for continuous innovation and expanded international cooperation to address the challenges posed by rapidly evolving cyber threats. Future research should consider more interdisciplinary approaches and a wider range of databases to capture the full spectrum of cybersecurity research.
The Effect of AI-Based Technology Implementation, Green Energy Sustainability, and Product Innovation on Economic Growth of the Manufacturing Industry in Indonesia Loso Judijanto; Triyugo Winarko; Usman Tahir; Arnes Yuli Vandika; Amelia S. Sarungallo
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1281

Abstract

This study investigates the effect of AI-based technology implementation, green energy sustainability, and product innovation on the economic growth of the manufacturing industry in Indonesia. Using a quantitative research approach, data were collected from 120 manufacturing firms and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results show that AI-based technology has the strongest positive impact on economic growth, followed by green energy sustainability and product innovation. AI-driven technologies optimize operations, reduce costs, and enhance decision-making, contributing significantly to the economic performance of firms. Green energy sustainability promotes long-term growth by reducing operational costs and improving environmental performance. While product innovation positively influences growth, its impact is relatively weaker, indicating the need for complementary factors. These findings provide insights for policymakers and industry leaders to focus on technological advancement, sustainability, and innovation as drivers of economic growth in Indonesia’s manufacturing sector.
The Effect of Clean Energy Technology Infrastructure Development on Regional Economic Growth in Indonesia Loso Judijanto; Ilham Ilham; Arnes Yuli Vandika
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1295

Abstract

This study investigates the effect of clean energy technology infrastructure development on regional economic growth in Indonesia. Using a quantitative research design, data were collected from 70 respondents across different regions using a Likert scale ranging from 1 to 5. The analysis was conducted using SPSS version 26 to examine the relationship between clean energy infrastructure and regional economic performance. The results show a strong positive correlation between clean energy technology infrastructure and regional economic growth, with a statistically significant relationship. Furthermore, multiple regression analysis indicates that clean energy infrastructure development significantly predicts economic growth, while geographic location and government policy also play important roles. These findings suggest that investments in clean energy infrastructure are crucial drivers of regional economic development and highlight the need for supportive policies to maximize the benefits of renewable energy projects. This study provides valuable insights for policymakers and stakeholders in advancing sustainable development through clean energy initiatives.
Analysis of Plant Watering Efficiency Using IoT Technology Controlled Through Google Assistant Nur Hakim; Muhammad Hazmi; Syam Gunawan; Arnes Yuli Vandika; Hanifah Nurul Muthmainah
West Science Nature and Technology Vol. 2 No. 03 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i03.1296

Abstract

This paper presents a systematic literature review (SLR) of 120 academic documents sourced from the Scopus database, which analyses the efficiency of crop watering systems utilizing Internet of Things (IoT) technology controlled via Google Assistant. The review explores key advances in IoT-based irrigation systems, highlighting how real-time data from sensors and voice-controlled automation improve water efficiency and user experience. The findings reveal that IoT systems can reduce water wastage by 25-30%, optimise plant health, and offer convenience through voice commands. However, challenges such as connectivity issues, high implementation costs, and system maintenance complexity also need to be addressed. This paper discusses potential future research directions, including scalability, AI integration, and cost-effective solutions to expand the adoption of these technologies in agriculture and horticulture.
Bibliometric Analysis of Trends and Developments in Agile Project Management Loso Judijanto; Arief Yanto Rukmana; Mislan Sihite; Arnes Yuli Vandika
West Science Business and Management Vol. 2 No. 02 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i02.989

Abstract

This study employs a comprehensive bibliometric analysis to explore the evolution, trends, and research networks within the field of Agile Project Management (APM). Utilizing data from prominent academic databases and visualized through VOSviewer, this paper identifies thematic clusters that highlight foundational Agile principles, strategic implementations, team dynamics, and technical aspects of APM. The research trends over the past decade demonstrate a significant shift from basic Agile methodologies towards advanced topics like risk and cost management, reflecting the field's maturation and adaptation to diverse and complex environments. The analysis also uncovers substantial research opportunities in integrating Agile practices with cost management, applying Agile in non-traditional fields, and developing sophisticated risk management strategies. Moreover, an examination of author collaboration networks reveals distinct clusters of scholarly activity and highlights influential researchers and their interrelationships. This study provides valuable insights into the dynamic landscape of Agile Project Management research, underscoring both established areas and emerging frontiers for future exploration.
Influence of IoT, Edge Computing, and Real-Time Analytics Systems on Optimizing Resource Management in the Indramayu Fisheries Industry Utomo, Bekti; Setiawati, Rahmi; Vandika, Arnes Yuli
West Science Interdisciplinary Studies Vol. 2 No. 11 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i11.1446

Abstract

The fisheries industry in Indramayu faces challenges in optimizing resource management due to inefficiencies and a lack of technological integration. This study examines the influence of the Internet of Things (IoT), Edge Computing, and Real-Time Analytics Systems on resource management optimization in the fisheries sector. Using a quantitative approach, data were collected from 150 respondents and analyzed with Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results reveal that IoT has the most significant impact on resource management optimization, followed by Real-Time Analytics Systems and Edge Computing. The integration of these technologies demonstrates a synergistic effect, enabling real-time data collection, efficient processing, and actionable insights. These findings underscore the transformative potential of digital technologies in fostering sustainable and efficient resource utilization. Practical recommendations include investing in infrastructure, enhancing technical skills, and promoting technology adoption through policy support. This research contributes to the growing body of knowledge on digital transformation in resource-intensive industries.
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